Systems, devices, articles and methods for dynamic flight plans in telemetry

Abstract

Embodiments of the present disclosure relate to systems, devices, articles, and methods supporting the creation flight plans for an aircraft gathering telemetry. Upon receipt of a request for telemetry and specifications of aircraft sensor systems, a processor selects a sensor system and generates a flight plan which includes a flight path and a longitudinal sampling condition. The generated flight plan is loaded onto a tangible non-transitory processor readable storage device which in a flight, is carried by an aircraft. The processor continues to trigger a respective sensor in the selected list of sensors to acquire the telemetry, and the flight plan is updated during the flight. The flight plan when followed may effect a plurality of passes in order to increase precision of measurement. A machine learning system may also be used to train, validate, and test machine learning models used in the sensor systems as well as to create a flight plan.

Description

1 SYSTEMS, DEVICES, ARTICLES AND METHODS FOR DYNAMIC FLIGHT PLANS IN TELEMETRY Technical Field

[0001] The disclosure generally relates to the operation of sensors in the context of aviation. More particularly, the disclosure relates to systems, devices, articles, and methods that create flight plans for aircraft gathering telemetry. BACKGROUND

[0002] Aircraft include sensors for measuring attributes of the environment of the aircraft. Environment sensors include instruments for composition of air, humidity, particulate, and temperature. Environment sensors include cameras or imagers that gathers images (e.g., IR, visible, UV). These images are used in processes like machine learning and photogrammetry. Photogrammetry is the practice of obtaining information about objects by the analysis of photographic images.

[0003] In photogrammetry, overlap refers to the amount of common area between consecutive images taken during a survey. Overlap includes front overlap, also known as longitudinal overlap, the redundant coverage of the subject between consecutive images along a flight path. Typically, a front overlap of 60% to 80% is recommended for aerial mapping projects. Side overlap (lateral overlap) is the overlap between images taken side-by-side across the ground and amongst different paths in a flight plan. Overlap is used to identify key features in adjacent images to effect coregistration of the images.

[0004] Existing systems can plan flight paths that provide good resolution over slowly varying elevation based on the capacity of the sensors. No systems consider the aircraft's performance which matters when the flight path is low altitude and terrain following. The forward overlap is determined by an intervalometer and not the amount of forward overlap. If the pilot is out of position on pass the required side overlap may not have been achieved. Aircraft can be used to voxelate measurements of an air mass. CA 3302383 Date reçue / Received date 2026-02-19 2

[0005] Examples of aircraft include airplanes, drones, helicopters, and rotorcrafts. SUMMARY

[0006] This section is intended to introduce some aspects of the present disclosure in a simplified manner.

[0007] The disclosure relates to a method of generation of a flight plan for an aircraftsensor system, including an aircraft, and including a plurality of sensors coupled to the aircraft and coupled to at least one processor. The method includes receiving, by the at least one processor, a request for telemetry to be acquired by a selected aircraft-sensor system, and receiving, by the at least one processor, specification for one or more aircraftsensor systems. The method includes selecting, by the at least one processor, an aircraftsensor system from the one or more aircraft-sensor systems based on the request for telemetry and the specification for one or more aircraft-sensor systems, and generating, by the at least one processor, a flight plan including a flight path for the selected aircraft included in the selected aircraft-sensor system, and a longitudinal sampling condition for the selected plurality of sensors included in the selected aircraft-sensor system. The method includes loading, by the at least one processor, the flight plan in at least one tangible non-transitory processor-readable storage device, which in a flight, is carried by the selected aircraft, triggering, by the at least one processor during the flight, a respective sensor in the selected plurality of sensors to acquire the telemetry based on, at least, the longitudinal sampling condition, and updating, by the at least one processor during the flight, the flight plan.

[0008] Further, the embodiments of the present disclosure encompass a system associated with operation of an aircraft. The system includes a plurality of sensors which in operation are coupled to the aircraft to form an aircraft-sensor system and at least one processor communicatively coupled to the plurality of sensors. The system includes a tangible non-transitory storage device storing processor-executable instructions that, as a result of execution by the at least one processor, causes the at least one processor to receive a request for telemetry to be acquired by a selected aircraft-sensor system, CA 3302383 Date reçue / Received date 2026-02-19 3 receive specifications for one or more aircraft-sensor systems, select an aircraft-sensor system from the one or more aircraft-sensor systems based on the request for telemetry and the specification for one or more aircraft-sensor systems, generate a flight plan including a flight path for the selected aircraft included in the selected aircraft-sensor system, and a longitudinal sampling condition for the selected plurality of sensors included in the selected aircraft-sensor system. The tangible non-transitory storage device storing processor-executable instructions that, as a result of execution by the at least one processor, further causes the at least one processor to load the flight plan in at least one tangible non-transitory processor-readable storage device, which in a flight, is carried by the selected aircraft, trigger, during the flight, a respective sensor in the selected plurality of sensors to acquire the telemetry based on, at least, the longitudinal sampling condition, and update, during the flight, the flight plan.

[0009] This summary does not necessarily describe the entire scope of all aspects. Other aspects, features, and advantages will be apparent to those of ordinary skill in the art upon review of the following description of specific embodiments.

[0010] This summary does not necessarily describe the entire scope of all aspects. Other aspects, features, and advantages will be apparent to those of ordinary skill in the art upon review of the following description of specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Systems, devices, articles, and methods are described in greater detail herein with reference to the following figures in which:

[0012] FIG. 1 is a schematic diagram illustrating aircraft sensor system.

[0013] FIG. 2 is a schematic diagram illustrating a processor-based user device.

[0014] FIG. 2 is a schematic diagram illustrating a processor-based user device such as a device carried by an aircraft.

[0015] FIG. 3 is a schematic diagram illustrating a processor-based surface. CA 3302383 Date reçue / Received date 2026-02-19 4

[0016] FIG. 4 is a technical diagram illustrating, in perspective views, plurality of sensors coupled to an aircraft.

[0017] FIG. 5 is a technical diagram illustrating aspects of a flight plan.

[0018] FIG. 6 is a technical diagram illustrating aspects of a flight plan.

[0019] FIG. 7 is a flow-diagram illustrating an implementation of a method of operation of a plurality of sensors coupled to an aircraft and associated processor-based devices.

[0020] FIG. 8 is a flow-diagram illustrating an implementation of a method of operation of a processor-based device.

[0021] FIG. 9 is a flow-diagram illustrating an implementation of a method of operation of a processor-based device.

[0022] FIG. 10 is a flow-diagram illustrating an implementation of a method of operation of a processor-based device.

[0023] FIG. 11 is a flow-diagram illustrating an implementation of a method of operation of a plurality of sensors coupled to an aircraft.

[0024] In the drawings, the same reference numbers identify similar elements or acts. In the drawings, angle, size, and relative position of elements are not necessarily shown to scale. For example, some of these elements may be enlarged or positioned to improve drawing legibility. Further, the shapes of any elements as drawn, are not necessarily intended to convey any information regarding the actual shape of the particular elements and may have been solely selected for ease of illustration or recognition. DETAILED DESCRIPTION

[0025] In the following description, associated drawings, included claims, and other parts of the document, various details are set forth to provide a detailed understanding of the disclosure and embodiments thereof. It will be apparent, however, that the disclosed embodiments may be practiced without some of these details. Several features described CA 3302383 Date reçue / Received date 2026-02-19 5 hereafter can each be used independently of one another or in combination with other features.

[0026] Acquisition of high-resolution timely telemetry often involves communication between parties each using a processor-based device. The coordination of requestor and operator further complicates the process of acquisition. Hence, in view of the abovementioned problems and challenges, the Applicant appreciates a need to improve the way telemetry is gathered. The trade of telemetry requirements (e.g., air samples or images of a specific resolution) and the telemetry can be improved in various ways such as those described herein. For example, by considering the available aircraft and sensor packages the utility of the aircraft-sensor systems can be improved or cost to provide reduced. The applicant appreciates that by monitoring samples or images the telemetry can be improved, and, in the event of telemetry not meeting requirements, an updated flight plan can be created including new flight directions.

[0027] Embodiments of the present disclosure relate to systems, devices, articles (e.g., tangible non-transitory processor-readable storage device including processorexecutable instructions) and methods for generation of a flight plan to acquire telemetry for an aircraft-sensor system including dynamic evaluation of the telemetry and, as needed, updates to the flight plan. The telemetry can include imager (e.g., images for photogrammetry) or atmospheric composition. .

[0028] In overview, FIG. 1 illustrates an example of a plurality of sensors. See aircraft sensor system 100. FIG. 2 includes a user device that in use may be carried on an aircraft and used in flight, or be used at a location removed from the aircraft. FIG. 3 illustrates a server 300 that in operation coordinates operations of at least the plurality of sensors and the aircraft. In some embodiments, server 300 defines a machine learning system to train, validate, and test one or more machine learning models used in systems, devices, articles, and methods described herein including in aircraft-sensor systems such as the example shown in FIG. 4. FIG. 5 illustrates aspects of a flight plan overlying a map. FIG. 5 illustrates in elevation view further aspects of a flight plan as used in operation of an aircraft sensor system. CA 3302383 Date reçue / Received date 2026-02-19 6

[0029] FIG. 7 illustrates a method of operation of an aircraft-sensor system. FIG. 8 illustrates exemplary acts involved in selecting an aircraft-sensor system. FIG. 9 illustrates exemplary method for acts involved in selecting an aircraft-sensor system including when the sensors are detachable from the aircraft. FIG. 10 illustrates an exemplary method which includes receiving a request for telemetry and generating a flight plan. FIG. 11 illustrates an implementation of a method of operation of a plurality of sensors coupled to an aircraft including updating a flight plan.

[0030] As used herein, the terms “aircraft”, “drone”, “helicopter”, “rotorcraft”, and like refer to same interpretation and may be interchangeably used throughout the specification unless the context clearly dictates otherwise.

[0031] The terms “sensor” and “aircraft sensor” refer to same interpretation and may be interchangeably used throughout the specification unless the context clearly dictates otherwise. In some embodiments, a sensor is one or more an atmospheric composition sensor, or an imager. In some embodiments, a sensor is one or more of a position sensor, pose sensor, environmental sensor, force sensor, strain gauge, and clock. Sensors may also be one or more lidars, microphones, radars, rangefinders, and spectrum analyzers.

[0032] As used herein, an “imager” refers to any electronic device capable of recording images.

[0033] The term “a” or “an” when used in conjunction with the terms “comprise”, “include”, “comprising”, or “including” in the claims or the specification may mean “one”, “one or more”, “at least one”, and “a plurality” unless the content dictates otherwise. Similarly, the word “another” means “additional” or “at least a second” unless the content clearly dictates otherwise. The terms “or” and “and / or” herein when used in association with a list of items means any one or more of the items may be selected from that list.

[0034] The terms “coupled”, “coupling” or “connected” as used herein can have several different meanings depending on the context in which these terms are used. For example, the terms coupled, coupling, or connected can have a mechanical or electrical connotation. For example, as used herein, the terms coupled or coupling, can indicate CA 3302383 Date reçue / Received date 2026-02-19 7 that two parts or devices are directly connected to one another or indirectly coupled to one another through one or more intermediate elements or devices via an electrical element, electrical signal or a mechanical element depending on the particular context. For example, as used herein, the term connected can indicate that two components are directly connected to one another.

[0035] As used herein, “input”, “send”, “transfer”, “transmit”, “receive”, “output” and their cognate terms refer to sending and / or receiving information from one part to another part of the system, wherein said information refer to all the data mentioned in the disclosure and may or may not be modified before or after sending and receiving the information according to the desired requirements.

[0036] The I / O device(s) as used herein includes one or more user interface input devices, such as a display, a keyboard, a mouse, a microphone, and a camera. The one or more user interface input devices may be detachable. In some embodiments, the I / O device(s) includes one or more output devices, such as displays, speakers, and lights. In some embodiments, the I / O device(s) is a single light. The one or more I / O devices may be detachable. The I / O device(s) may include one or more sensors (such as altimeters, thermometers, force sensors, strain gauge, clock) and output devices (such as actuators, displays, lights).

[0037] The processor may be any logic processing unit such as one or more microprocessors, central processing units (CPUs), digital signal processors (DSPs), graphics processing units (GPUs), application-specific integrated circuits (ASICs), programmable gate arrays (PGAs), programmed logic units (PLUs) or any such device as may be obvious to a person skilled in the art. The processor may include, but is not limited to, a processor or set of processors or any such processing unit as may be obvious to a person skilled in the art, which are configured to function in accordance with the one or more inventions described herein.

[0038] FIG. 1 illustrates a schematic view of aspects of an aircraft sensor system 100 in accordance with some embodiments of the invention. The aircraft sensor system 100 CA 3302383 Date reçue / Received date 2026-02-19 8 includes a plurality of circuits such as a control subsystem comprising at least one processor 102, at least one input / output (I / O) subsystem 104, and at least one bus 106 to which, or by which, the at least one processor 102 and the I / O device(s) 104 are communicatively coupled.

[0039] Further, aircraft sensor system 100 includes a Network Interface Card (NIC) or network interface subsystem 108 communicatively coupled to bus(es) 106, where network interface subsystem 108 provides bi-directional communication to other components (e.g., a system external to aircraft sensor system 100) through one or more network or non-network communication channel(s) such as the internet. In some embodiments, the network interface subsystem 108 includes circuitry. In other embodiments, the network interface subsystem 108 uses communication protocols (e.g., FTP, HTTP, Web Services, and SOAP with XML) for bidirectional communication of information including processor-readable data, and processor-executable instructions. In some embodiments, a processor-based device such as user device 200, server 300, or others are communicatively coupled to aircraft sensor system 100. The processor-based devices are further described in relation to, at least, FIG. 2, FIG. 3 and FIG. 7.

[0040] Furthermore, aircraft sensor system 100 includes at least one non-transitory or tangible computer or processor-readable storage device(s) 110 coupled to the bus(es) 106. The terms ‘non-transitory’ and ‘tangible’ may be interchangeably used throughout the specification. Same of ‘computer-readable’ and ‘processor-readable’. Further, storage device(s) 110 includes at least one non-transitory storage medium. In some embodiments, storage device(s) 110 includes two or more distinct devices, while in other embodiments, storage device(s) 110 includes one or more volatile storage devices (e.g., Random Access Memory (RAM)), and one or more non-volatile storage devices (e.g., Read Only Memory (ROM), flash memory, magnetic hard disk (HDD), optical disk, solid state disk (SSD), and the like). In an embodiment, storage device(s) 110 may be implemented in a variety of ways such as a read-only memory (ROM), random access memory (RAM), a hard disk drive (HDD), a network drive, flash memory, digital versatile disk (DVD) or any such forms as may be obvious to a person skilled in the art. Further, CA 3302383 Date reçue / Received date 2026-02-19 9 modern computer systems and techniques conflate volatile storage and non-volatile storage, for example, caching, using solid-state devices as hard drives, in-memory data processing, and the like.

[0041] Storage device(s) 110 may store on or within the included storage media processor-readable data and / or processor-executable instructions. Storage device(s) 110 include or store processor-executable instructions and / or processor-readable data 120 associated with the operation of the aircraft sensor system 100, a plurality of aircraft, and the like.

[0042] In some embodiments, the processor-executable instructions / data 120 include a Basic Input / Output System (BIOS) 122, an Operating System 124, driver(s) 126, communication instructions / data 128, an aircraft database 130, sensor output data 132, a trigger 134, an analyzer 136, and the like.

[0043] Examples of operating system 124 include ANDROID®, IOS®, LINUX®, or WINDOWS®. The driver(s) 126 include processor-executable instructions / data that allows the at least one processor 102 to control one or more components in aircraft sensor system 100. The processor-executable communication instructions / data 128 implements communications between aircraft sensor system 100 and another processor-based device through network interface subsystem 108.

[0044] The aircraft sensor system 100 further includes one or more power supplies 112. In some embodiments, the power supply(ies) 112 are external power supply(ies) such as power from an alternator coupled to a turbine engine or APU in an aircraft, while in other embodiments, the power supply(ies) 112 are on-board power source(s) such as batteries, ultra-capacitors, or fuel cells, to independently power different components.

[0045] Also, in some embodiments, the aircraft sensor system 100 includes at least one antenna 114. In response to processor-executable instructions, the at least one antenna 114 emits electronic signals and receives electronic signals. CA 3302383 Date reçue / Received date 2026-02-19 10

[0046] In some embodiments, the aircraft sensor system 100 includes a plurality of sensors as explained later in the disclosure. Examples of sensors include an atmospheric composition sensor 142 and an imager 144. Atmospheric composition sensor measures for a gas, aerosol or particles. The presence of a relevant gas, aerosol, or particle is converted into an electrical signal. In some sensors the relative magnitude of the signal is related to the atmospheric concentration of the target. Examples of a particle sensor is a particulate matter sensor such as a SPS30 particulate matter sensor from Sensirion AG, Stäfa, ZH, CH. Examples of a gas sensor include a BME688 gas sensor from Bosch Sensortec GmbH, Reutlingen, BW, DE.

[0047] Imager 144 may be used for applications like live view of the aircraft operation, e.g., landing or hoist operations, and air photos. Aerial photographs, or air photos, are images taken of the ground from altitude and used for to view a target area over time, noting the changes in land use, or photogrammetry. In some embodiments, imager 144 is a mapper such as a nadir-oriented camera. In some embodiments, the mapper is a U3-31R1SE camera from IDS Imaging Development Systems GmbH, Obersulm, BW, US. Imager 144 may include an infinite conjugate lens such as UAV Series C-Mount lenses from Edmund Optics Inc. Barrington, NJ, US. In some embodiments, imager 144 may include a vision camera oriented to capture a view from the aircraft. Imager 144 may be a gimballed camera that is directable to track a target. In some embodiments, imager 144 includes a sensor such as the Sony Pregius S IMX568 sensor, with lenses and electronics available from e-con Systems USA LLC, Fremont, CA, US.

[0048] The processor-executable communication instructions / data 128, when executed, directs aircraft sensor system 100 to process input from I / O device(s) 104, antenna 114, or sensors included in a wider system, information that represents input stored on or in a storage device, such as storage device(s) 110. In some embodiments, the processorexecutable communication instructions 128, when executed, direct aircraft sensor system 100 to communicate with a processor-based device such as another instance of aircraft sensor system 100, a user device, or the like. In some embodiments, processor- CA 3302383 Date reçue / Received date 2026-02-19 11 executable communication instructions / data 128, when executed, directs aircraft sensor system 100 to communicate by NIC 108 or antenna 114.

[0049] In some embodiments, the aircraft database 130 includes a plurality of aircraftrelated information and a plurality of hosted files and instructions, which when executed, provides access to the hosted files. The hosted files include information characterizing aircraft type.

[0050] The sensor output data 132 includes processor-readable data which represents output from aircraft sensor system 100, such as, I / O devices 104, atmospheric composition sensor 142, and imager 144. In some embodiments, sensor output data 132 includes metadata to the stored output of one or more sensors.

[0051] The processor-executable trigger 134, when executed, directs aircraft sensor system 100 to acquire data from the aircraft sensors system 100. Such as, receive and store, output from a plurality of sensors, e.g., such as, I / O devices 104, atmospheric composition sensor 142, and imager 144. Trigger 134 may be a machine learning model which when executed receives output from one or more sensors and monitors for one or more patterns. In response to detecting the one or more patterns, trigger 134 activates one or more sensors, or updates the operation of one or more sensors.

[0052] The analyzer 136 includes processor-executable instructions which, when executed by processor 102, directs aircraft sensor system 100 to analyze outputs of the plurality of sensors. For example, outputs characterizing environment, location, movement, or pose of the aircraft. Further, said analyzer 136, when executed, directs the plurality of circuits to analyze the output of the plurality of sensors characterizing the environment for the aircraft. In an embodiment, the processor-executable instructions which, when executed, directs the plurality of circuits to extract features from sensor output data 132.

[0053] Turning to FIG. 2 which illustrates a schematic view of aspects of the user device 200 in accordance with various embodiments of the invention. The user device 200 includes parts in common with aircraft sensor system 100. For example, both include a CA 3302383 Date reçue / Received date 2026-02-19 12 control subsystem comprising at least one processor 102, at least one input / output (I / O) subsystem 104, and at least one bus 106 to which the foregoing are coupled.

[0054] In some embodiments, user device 200 includes NIC 108 or antenna 114 through which user device 200 is coupled to other devices and systems, such as, aircraft sensor system 100 and other processor-based devices.

[0055] The user device 200 includes at least one non-transitory computer or processorreadable storage device(s) 110 coupled to bus(es) 106. Storage device(s) 110 include or store processor-executable instructions and / or processor-readable data 120 associated with the operation of the user device 200. The processor-executable instructions and / or processor-readable data include a web browser 230, an aircraft dashboard 232, and a sensor viewer or viewer 234.

[0056] In some embodiments, web browser 230, when executed, directs user device 200 to render web pages including establishing connections, e.g., secure connection, request files, and download files. The web browser 230 also interprets processor-readable markup files such as CSS, HTML, and XML and executes processor-executable instructions (e.g., JavaScript) to display one or more web pages.

[0057] In some embodiments, aircraft dashboard 232, when executed, directs the user device 200 to display information received from a plurality of sensors (e.g., aircraft sensor system 100). The aircraft dashboard 232 also interprets processor-readable data from one or more sources (e.g., aircraft sensor system 100 coupled to an aircraft) to provide at least one of aircraft information, flight instrumentation, engine data, navigation information, weather information, telemetry, schedules, maintenance information, and the like. Dashboard 232 may include information describing a mission, mission segment, flight path, or direction for a pilot (e.g., navigation aid, or flight director). In some embodiments, aircraft dashboard 232, when executed, directs the user device 200 to display aggregated information received from a plurality of sensors (e.g., aircraft sensor system 100). In some embodiments, aircraft dashboard 232 is implemented, in part, by web browser 230. CA 3302383 Date reçue / Received date 2026-02-19 13

[0058] In some embodiments, viewer 234, when executed, directs the user device 200 to display imagery and time series data received from a plurality of sensors (e.g., aircraft sensor system 100). A user of user device 200 in response to the execution of viewer 234 could view a display of images, e.g., from an electro-optical camera. In some embodiments, viewer 234 is implemented, in part, by web browser 230.

[0059] In some embodiments, request interface 236, when executed, directs the user device 200 to receive and display a request for telemetry (e.g., data to be acquired by aircraft sensor system 100). A user of user device 200 may provide a request for telemetry through request interface 236. In some embodiments, user device 200 provides a representation of a region of interest, in response to execution of request interface 236. In some embodiments, in response to execution of request interface 236 the user device 200 receives from a user a plurality of technical requirements for telemetry.

[0060] FIG. 3 illustrates a schematic view of aspects of a server 300 in accordance with some embodiments of the invention. Server 300 includes parts in common with aircraft sensor system 100, or user device 200. In some embodiments server 300, in operation and in response to processing processor-executable instructions, implements a machine learning system that trains, validates, and tests machine learning models on data received from the aircraft sensor system 100. Further, in some embodiments, in operation, and in response to processing processor-executable instructions server 300 coordinates the receipt of requests for telemetry, selection of aircraft-sensor systems, and generation of flight plans.

[0061] In some embodiments, server 300 includes an arrangement of parts in common with the aircraft sensor system 100 and the user device 200. For example, all include a control subsystem comprising at least one processor 102, at least one input / output (I / O) subsystem 104, and at least one bus 106 to which the foregoing is coupled. Machine learning system 300 includes at least one non-transitory computer or processor-readable storage device(s) 110 coupled to the bus(es) 106. In some embodiments, storage device(s) 110 include, but not limited to, sensor output data 132, a trainer 330, a validator 332, a tester 334, and one or more machine learning models 336. In some embodiments, CA 3302383 Date reçue / Received date 2026-02-19 14 storage device(s) 110 include, but not limited to, a mediator 338, a selector 340, and a planner 342.

[0062] In some embodiments, trainer 330 as executed by at least one processor 102 improves the performance of machine learning model(s) 336. For example, model(s) 336 at run-time detect features of, classify features of, or determine if a feature is present or absent in images or samples. In some embodiments, the model(s) 336, at run-time, control an aircraft. In some embodiments, the model(s) 336, at run-time, generate a flight plan.

[0063] In some embodiments, validator 332 as executed by at least one processor 102 performs an unbiased evaluation of the model as constructed during the training phase. Trainer 330 and validator 332 may use disjoint parts of sensor output data 132.

[0064] In some embodiments, tester 334 as executed by at least one processor 102 tests model(s) 336 as constructed during the training phase. Trainer 330 and tester 334 may use disjoint parts of sensor output data 132.

[0065] In some embodiments, server 300 includes NIC 108 through which server 300 is communicatively coupled to other devices and systems, such as, aircraft sensor system 100 and user device 200. In some embodiments, server 300 sends model(s) 336 to other devices and systems, such as, aircraft sensor system 100 and user device 200.

[0066] In some embodiments, server 300 receives a request for telemetry to be acquired by a to-be-selected aircraft-sensor system, specifications for one or more aircraft-sensor systems, and the like. In some embodiments, server 300 sends alerts to users, flight plans to another processor-based device, and the like.

[0067] The mediator 338 includes processor-executable instructions which, when executed by processor 102, direct server 300 to coordinate communication amongst one or more processor-based devices such as aircraft sensor system 100 and user device 200. In some embodiments, mediator 338, when executed, receives requests and specifications, and sends alerts and plans. CA 3302383 Date reçue / Received date 2026-02-19 15

[0068] The selector 340 includes processor-executable instructions which, when executed by at least one processor 102, direct server 300 to select an aircraft-sensor system which comprises an aircraft and to which is coupled (e.g., tangibly and communicatively) a plurality of sensors. Examples of selection methods are described herein at, at least, FIG. 9.

[0069] The planner 342 includes processor-executable instructions which, when executed by at least one processor 102, direct server 300 to generate a flight plan for a selected aircraft-sensor system. In some embodiments, planner 342 uses machine learning model(s) 336 to generate a flight plan. In some embodiments, planner 342 may include source code from Mission Planner and ArduPilot available as open-source code from the ArduPilot community with a public repository on GitHub. In some embodiments, the planner receives a plurality of targets and using a grid overlying the area generates a path using Dijkstra’s algorithm. In some embodiments, planner 342 executes a machine learning model 336.

[0070] Turning to FIG. 4 which illustrates technical diagrams over two views of an aircraftsensor platform 400. FIG. 4A is a perspective view aircraft-sensor platform 400 including an aircraft 410 and a plurality of sensors 420 coupled to aircraft 410.

[0071] In some embodiments, the plurality of sensors 420 is coupled on the inferior of aircraft 410. In some embodiments, the plurality of sensors 420 is coupled to the anterior of aircraft 410. It is convenient for weight and balance to place plurality of sensors 420 at a medial location, as shown, but, in some embodiments, the plurality of sensors 420 is more laterally disposed. In some embodiments, the plurality of sensors 420 is coupled to the posterior of aircraft 410. In some embodiments, the plurality of sensors 420 is coupled to aircraft 410 at a plurality of locations.

[0072] FIG. 4B includes an enlarged view of the plurality of sensors 420 coupled to an aircraft 410.

[0073] To detect the aircraft data further communicated to the aircraft sensor system 100, in an embodiment, the plurality of sensors 420 detects the aircraft data in a fixed interval CA 3302383 Date reçue / Received date 2026-02-19 16 set by the user device 200. In an embodiment, the plurality of sensors 420 detects the aircraft data in real time.

[0074] The plurality of sensors 420, shown in FIG. 4A and FIG. 4B, includes two or more sensors. Examples of sensors include imagers such as an RGB camera and infrared camera (e.g., UV, visible, near-infrared, or thermal). The cameras may have a nadir orientation (i.e., straight down) or be angled, such as, low oblique or high oblique (e.g., the horizon is in view). The sensors can also include position sensors such as Global Navigation Satellite System (GNSS) receiver, Inertial Measurement Unit (IMU) (e.g., vibration or multi-axis), pose sensors (e.g., angle of attack, magnetometer), and speed sensors (e.g., pitot static or static). Examples of GNSS receiver include receivers for Galileo, GLONASS, or GPS systems. Other examples of sensors include environmental sensors (e.g. for detecting temperature, pressure, humidity, particulates in the air, composition of the air). Sensors may also be one or more lidars, microphones, radars, rangefinders, and spectrum analyzers. For example, a directable time-of-flight rangefinder.

[0075] The sensors may be fixed or moveable. One or more sensors in the plurality of sensors 420 can be fixed to a body included in the plurality of sensors 420. Movement of the fixed sensor(s) included in the plurality of sensors 420 is achieved by movement of aircraft 410. Sensor(s) in the plurality of sensors 420 be gimballed. Movement of the gimballed sensor(s) may include one, two, or more degrees of freedom to allow the gimballed sensor(s) to move independently of the movement of aircraft 410.

[0076] The plurality of sensors 420, shown in FIG. 4A and FIG. 4B, may include a GPU such as such as a NVIDIA AGX Orin system from Nvidia Corp. of Santa Clara, CA, US.

[0077] FIG. 5 is a conceptual diagram illustrating aspects of a request for telemetry and a flight plan. As shown, graphic 500 includes a base map 502 and a region of interest 504. The base map 502, depicts a location and a plurality of features, e.g., bridge, river (506a), road (506b), terrain, and town (506c). CA 3302383 Date reçue / Received date 2026-02-19 17

[0078] In some embodiments, a user provides a request for telemetry. The request may include an area or region of interest e.g., region of interest 504. The region of interest can be specified as a location, a polygon (as shown) or a center and a radius of a circle. In some embodiments, region of interest 504 is a volume such as a cylinder (e.g., right circular cylinder), or a prism. In some embodiments, region of interest 504 is a volume in which a plurality of environmental samples (e.g., air composition) are to be collected. In some embodiments, graphic 500 and a base map 502 are displayed in a graphical user interface running on a processor-based device and the user provides a region of interest.

[0079] In some embodiments, a controller (e.g., at least one processor 102) generates a flight plan including a flight path 510 comprising a plurality of flight directions e.g., straight paths (512), turns (514), climbs, and descents. The plurality of flight directions may effect a plurality of passes over an extended target such as a settlement or a cluster of roads.

[0080] The flight plan includes a plurality of shutter or sample locations 516 for example location 516a shown in FIG. 5B. The plurality of locations 516 are spaced along flight path 510 and correspond to the longitudinal sampling conditions where the sensor is an imager and the shutter locations 516 correspond to a plurality of footprints 518.

[0081] The longitudinal sampling conditions determine locations 516. In some embodiments, locations 516 are determined by the image overlap. For example, in FIG. 5B the forward overlap between 518a and 518b. In some embodiments, a controller (e.g., at least one processor 102) executes trigger 134 to collect a plurality of measurements at locations 516.

[0082] In operation a measurement (e.g., sample or image) can be missed. For example, if an instrument failed a run-time check, there was cloud cover over target, or the like. In some embodiments, a controller (e.g., at least one processor 102) generates an updated flight plan including one or more updated flight path segments comprising flight directions such as flight directions 520 shown in FIG. 5C. In the example of directions 520 the aircraft revisits a portion of flight path 510. CA 3302383 Date reçue / Received date 2026-02-19 18

[0083] Flight path 510 may follow a feature such as river (506a), road (506b), or terrain. Or follow a space spanning path such as over a target of interest such as a settlement or a network of roads (e.g., series of driveways, logging road spurs). Note the location of features in an area of interest is often not random.

[0084] FIG. 6 is a conceptual diagram illustrating aspects of a flight plan. As shown, graphic 600 includes an aircraft 410, flying over terrain 602, along a (flat) flight path 512. Typically, Ground Control Station (GCS) software handles survey missions through a combination of GPS positions and trigger mechanisms. In order to plan a flight path, the GCS calculates a grid pattern based on desired Ground Sampling Distance (GSD), camera specifications (e.g., sensor size, focal length), flight altitude and the required image overlap (e.g., front and side). In FIG.6, 604 shows the angle of view of imagers projection toward and on terrain 602 where 606 shows the difference in GSD based on altitude. When then terrain rises to toward the aircraft or separation narrows the footprint of the imager shrinks with an effect on the overlap.

[0085] In some embodiments, sensor (e.g., camera) triggering methods may include distance-based triggering or time-based triggering. For distance-based triggering the camera triggers when the Unmanned Aerial Vehicle (UAV) reaches specific GPS waypoints (e.g., shutter / sample locations 616) where software running in a controller (e.g., at least one processor 102) calculates the waypoints based on required image overlap. The flight path angle needs to be adjusted in order to maintain a consistent GSD, especially when flying over a variable terrain. Vector 608 shows the desired path angle to maintain a consistent GSD where vector 610 shows the maximum angle of climb available depending on some conditions (e.g., aircraft performance / density, limited altitude, etc.). Such methods tend to be more precise in consistent wind conditions.

[0086] Unlike time-based triggering, the time between the camera is triggered at each sample location 616 is varied in distance-based triggering. For example, in the flat flight path 510, more forward distance is covered in a shorter time and therefore, the camera triggers more often. However, in a steep climb such as path angle 608, the forward distance covered is less meaning more time is passed between each camera trigger. CA 3302383 Date reçue / Received date 2026-02-19 19

[0087] In time-based triggering, the sensor (e.g., camera) triggers at fixed time intervals. The GCS calculates the intervals based on UAV speed and the required overlap. Such methods, though simpler to implement, tend to be less reliable in variable wind conditions. Some parameters can be adjusted to increase the precision of the measurements. Such parameters include: flight altitude, front overlap (e.g., 75%-85%), side overlap (e.g., 60%- 70%), flight speed, camera angle (e.g., nadir vs. oblique) and flight pattern (e.g., grid, double grid, circular).

[0088] Weather conditions (e.g., wind) can affect image overlap. Higher image overlap can increase mapping accuracy; however, it requires more data (e.g., photos) and therefore more memory capacity. Some embodiments use correction technologies such as Post Processing Kinematic (PPK) or Real Time Kinematic (RTK) based GPS systems to increase the accuracy of the measurements. Some embodiments are able to adjust the measurements according to the terrain elevation.

[0089] In some embodiments, the measurements taken are atmospheric samples rather than ground mapping, or a combination of both measurements. Flight path 512b shows the flight path of the aircraft 410 when aircraft 410 is flying in over many levels to collect samples, e.g., atmospheric composition samples.

[0090] Turning to FIG. 7 which illustrates an example method 700 for the operation of a plurality of sensors associated with an aircraft (e.g., aircraft 410). Various embodiments of the plurality of sensors are described herein including in relation to FIG. 1 and FIG. 4.

[0091] For method 700, as with other methods taught herein, the various acts may be performed in a different order than that illustrated and described. Additionally, the methods can omit some acts, combine acts, split an act, and / or employ additional acts. Method 700 may be performed by a controller (e.g., the at least one processor 102) in conjunction with other components or systems as may be obvious to a person skilled in the art.

[0092] Method 700 begins at 702 where the controller receives a request for telemetry. In some embodiments, the telemetry is to be acquired by an aircraft-sensor system. For CA 3302383 Date reçue / Received date 2026-02-19 20 example, aircraft 410 acting as a mobile platform for a plurality of sensors, e.g., plurality of sensors 100. In some embodiments, the controller executes processor-executable instructions such as selector 340 and planner 342.

[0093] At 704, the controller receives specification(s) for one or more aircraft-sensor systems. Examples of specifications include those described herein in relation to, at least, FIG. 9.

[0094] At 706, the controller selects an aircraft-sensor system. For example, the controller selects an aircraft-sensor system from the one or more aircraft-sensor systems. The one or more aircraft-sensor systems may include one or more aircraft each coupled to a VOXVISION sensor package available from Voxelis Canada Corp, Richmond, BC, CA. In some embodiments, the selection is of a suitable aircraft-sensor system based on the request for telemetry and the specification(s) for one or more aircraft-sensor systems. The selected aircraft-sensor system includes a selected aircraft. The selected aircraftsensor system includes a selected plurality of sensors. Further aspects and examples of the implementation of the selection of the aircraft-sensor system are described herein at, at least, FIG. 8.

[0095] At 708, the controller generates a flight plan including a flight path for the selected aircraft, and a longitudinal sampling condition for the selected plurality of sensors. During 708 the selected aircraft and the selected plurality of sensors may be decoupled. Thus, in some embodiments, the selected plurality of sensors is mounted or coupled to the selected aircraft after 708.

[0096] At 710, the controller loads the flight plan in at least one tangible non-transitory processor-readable storage device, which in a flight, is carried by the selected aircraft. For example, the controller loads the flight plan into a tablet to be used in flight by the crew of the selected aircraft.

[0097] At 712, the controller triggers a respective sensor in the selected plurality of sensors to acquire the telemetry. The timing of the trigger event is based on, at least, the longitudinal sampling condition. CA 3302383 Date reçue / Received date 2026-02-19 21

[0098] At 714, the controller updates the flight plan during the flight.

[0099] Turning to FIG. 8 which illustrates an example method 800 for the operation of a plurality of sensors associated with an aircraft (e.g., aircraft 410). Various embodiments of the plurality of sensors are described herein including plurality of sensors 100 and plurality of sensors 420.

[0100] Method 800, as with other methods taught herein, may be performed by a controller (e.g., the at least one processor 102).

[0101] Method 800 begins at 702 where the controller receives a request for telemetry. At 704 the controller receives specification(s) for one or more aircraft.

[0102] At 802 the controller checks if a plurality of aircraft-sensor systems is available. If 802-No, then, at 804, the controller checks if the sole aircraft sensor system is suitable. If 804-No, at 806, the controller sends a warning message to the user.

[0103] If 802-Yes, or 804-Yes, then, at 808, the controller selects a suitable aircraftsensor system. For example, the controller selects the sole aircraft-sensor system. In some embodiments, the controller computes an expected cost to obtain the telemetry. For example, the controller may aggregate distance from aircraft base to region of interest, duration of flight path, fuel consumption to execute flight path, and the like.

[0104] Method 800 ends after 808 although processing may continue. For example, at 708 in method 700.

[0105] Turning to FIG. 9 which illustrates an example method 900 for the operation of a processor-based device (e.g., a device including at least one processor 102) associated with one or more aircraft and one or more sensor packages. Various embodiments of the one or more aircraft and the one or more sensor packages are described herein.

[0106] Method 900, begins at 902. The controller receives specification(s) for one or more aircraft. For example, a specification can be a single datum of a type. The specification could be a type with performance specifications prescribed by operator e.g., maximum CA 3302383 Date reçue / Received date 2026-02-19 22 climb rate, endurance, or speed. The operations manager or chief pilot at an operator can prescribe one or more specifications. The specification(s) may be a plurality of information characterising a plurality of aircrafts.

[0107] At 904, the controller receives specification(s) for one or more sensor packages. Examples of sensor packages are described herein in relation to, at least, FIG. 1, FIG. 4, and FIG. 7.

[0108] At 906, the controller analyses the specifications for the one or more aircraft. For example, the specification can include the location of the target of the telemetry, the base of the aircraft, and the range of the aircraft. At 906, the controller includes or excludes aircraft.

[0109] At 908, the controller analyses the specifications for the one or more sensor packages. For example, the specification can include details of an imager such as spectrum, resolution, and orientation. In some embodiments, the specifications include details of a sensor like function, specificity, or sensitivity. At 908, the controller includes or excludes one or more sensor packages.

[0110] At 910, the controller analyses one or more combinations of members of the one or more aircraft, and members of the one or more sensor packages. There may be an impermissible combination of sensor packages and aircraft. For example, an operator may own or lease a sensor package with suitable requirements for the requested telemetry and an aircraft with the range get to target. However, for example, a Robinson R22, available from Robinson Helicopter Co, Torrance, CA, US, may not be able to buoy a required sensor package. Or a Eurocopter EC130, available from Airbus Helicopters SAS, Marignane, PAC, FR could carry a sensor package but may have allocated all its auxiliary power for ancillary purposes like lights or a hoist.

[0111] At 912, the controller computes a flight path to acquire the telemetry from a plurality of sensors. The flight path includes one or more flight directions.

[0112] Method 900 ends after 912. CA 3302383 Date reçue / Received date 2026-02-19 23

[0113] Turning to FIG. 10 which illustrates an example method 1000 for the operation of a processor-based device. In some embodiments, a controller (e.g., at least one processor 102) implements method 1000 by executing processor-executable instructions such as planner 342.

[0114] Method 1000, begins at 702 where the controller receives a request for telemetry. In some embodiments, the telemetry is to be acquired by an aircraft-sensor system. In some embodiments, method 1000 at 702 may include one or more further acts such as those shown in FIG. 10.

[0115] At 1002, the controller receives a plurality of technical requirements for telemetry. The plurality of technical requirements may be one or more of a target, a measurement type, a desired ground sampling distance (GSD), a tessellation specification, or image overlap specifications.

[0116] At 1004, the controller receives information charactering a target. In some embodiments, the controller receives information characterizing a plurality of targets. In some embodiments, at 1002, the controller receives information characterising a target, e.g., a location, coordinates, a polygon, a region of interest, a cylinder, or a prism. For example, the user may specify a polygon, and one more features such as a road, bridge, and river. For example, as shown in FIG. 5, the region of interest 504 (a polygon in the Incomappleux Valley in British Columbia, Canada) and features of river 506a, road 506b (e.g., Fish River Road #70), and town 506c (Camborne).

[0117] At 1006, the controller receives information charactering sensors.

[0118] At 1008, the controller receives measurement separation information.

[0119] At 708, the controller generates a flight plan including a flight path and a longitudinal sampling condition. In some embodiments, method 1000 at 708 may include one or more further acts such as those shown in FIG. 10.

[0120] At 1010, the controller computes a flight path to acquire the telemetry. CA 3302383 Date reçue / Received date 2026-02-19 24

[0121] At 1012, the controller computes a one or more flight directions. In some embodiments, the flight directions, when followed, effect a plurality of passes. Examples of flight directions are shown and described herein at FIG. 5

[0122] At 1014, the controller computes one or more of the longitudinal sampling conditions. The longitudinal sampling condition may include a time, a location, a location and an orientation of the sensor, an observed overlap of an acquired image and a preview of an imminent image, and a predicted overlap of an acquired image and a footprint of an imminent image.

[0123] Turning to FIG. 11 which illustrates an example method 1100 for the operation of a processor-based device. In some embodiments, a controller (e.g., at least one processor 102) implements method 1100.

[0124] Method 1100, begins at 1102 where the controller initializes the sensors.

[0125] At 1104, the controller displays a flight direction included in the plurality of flight directions to the aircraft operator. A flight plan includes a plurality of flight directions which when followed causes the aircraft to follow the flight path.

[0126] At 1106, the controller triggers a respective sensor in the selected plurality of sensors during the flight. The respective sensor is triggered to acquire the telemetry when a longitudinal sampling condition is met. The longitudinal sampling condition includes a time, a location, a location and an orientation of the sensor, an observed overlap of an acquired image and a preview of an imminent image, and a predicted overlap of an acquired image and a footprint of an imminent image.

[0127] At 1108, the controller stores the acquired telemetry on the at least one tangible, non-transitory processor-readable storage device.

[0128] At 1110, the controller analyses the telemetry including the output of the respective sensor in the selected plurality of sensors. CA 3302383 Date reçue / Received date 2026-02-19 25

[0129] At 1112, the controller checks if the telemetry meets the requirements for telemetry. If 1112-Yes, method 1100 ends.

[0130] If 1112-No, at 1114, the controller updates the flight plan during the flight. In some embodiments, the updated flight plan includes one or more new flight directions. In some embodiments, the updated flight plan includes new sampling conditions.

[0131] As used herein, a reference to “about”, “approximately”, or “near” a number or to being “substantially” equal to a number of means being within + / - 10% of that number.

[0132] While the disclosure has been described in connection with specific embodiments, it is to be understood that the disclosure is not limited to these embodiments, and that alterations, modifications, and variations of these embodiments may be carried out by the skilled person without departing from the scope of the disclosure.

[0133] It is furthermore contemplated that any part of any aspect or embodiment discussed in this specification can be implemented or combined with any part of any other aspect or embodiment discussed in this specification. CA 3302383 Date reçue / Received date 2026-02-19

Claims

26 Claims:

1. A method of generation of a flight plan for an aircraft-sensor system, including an aircraft, and including a plurality of sensors coupled to the aircraft and coupled to at least one processor, the method comprising: receiving, by the at least one processor, a request for telemetry to be acquired by a selected aircraft-sensor system; receiving, by the at least one processor, specifications for one or more aircraftsensor systems; selecting, by the at least one processor, an aircraft-sensor system from the one or more aircraft-sensor systems based on the request for telemetry and the specification for one or more aircraft-sensor systems; generating, by the at least one processor, a flight plan including a flight path for the selected aircraft included in the selected aircraft-sensor system, and a longitudinal sampling condition for the selected plurality of sensors included in the selected aircraft-sensor system; loading, by the at least one processor, the flight plan in at least one tangible non-transitory processor-readable storage device, which in a flight, is carried by the selected aircraft; triggering, by the at least one processor during the flight, a respective sensor in the selected plurality of sensors to acquire the telemetry based on, at least, the longitudinal sampling condition; and updating, by the at least one processor during the flight, the flight plan.

2. The method of claim 1 further comprising: if the one or more aircraft-sensor systems consist of one aircraft-sensor system, checking, by the at least one processor, if the one aircraft-sensor system is suitable based on the request for telemetry and specification for the one aircraft-sensor system; and CA 3302383 Date reçue / Received date 2026-02-19 27 sending, by the at least one processor, an alert to a user device if there is no suitable aircraft-sensor system.

3. The method of claim 1 further comprising: receiving, by the at least one processor, specifications for one or more aircraft; receiving, by the at least one processor, specifications for one or more pluralities of sensors; analyzing, by the at least one processor, specifications for the one or more aircraft; and analyzing, by the at least one processor, specifications for the one or more pluralities of sensors.

4. The method of claim 1 further comprising: storing by the at least one processor, the acquired telemetry on the at least one tangible non-transitory processor-readable storage device.

5. The method of claim 1, wherein the fight plan includes a plurality of flight directions which when followed causes the aircraft to follow the flight path, the method further comprises: displaying, by the at least one processor, for the operator of the aircraft, a flight direction included in the plurality of flight directions.

6. The method of claim 1, wherein generating the flight plan comprises: receiving, by the at least one processor, a plurality of technical requirements for telemetry; and computing, by the at least one processor, the flight path to acquire the telemetry from a plurality of sensors wherein the flight path includes one or more flight directions.

7. The method of claim 6, wherein computing the flight path further comprises: CA 3302383 Date reçue / Received date 2026-02-19 28 receiving, by the at least one processor, a target, a desired ground sampling distance (GSD), tessellation specification, or image overlaps; computing the one or more flight directions which when followed effect the plurality of passes proximate to a target; and computing one or more of the longitudinal sampling conditions.

8. The method of claim 1, wherein triggering the respective sensor in the selected plurality of sensors further comprises: activating the plurality of sensors when the longitudinal sampling condition is met, wherein the longitudinal sampling condition is selected from the group consisting of: a time; a location; a location and an orientation of the sensor; an observed overlap of an acquired image and a preview of an imminent image; and a predicted overlap of an acquired image and a footprint of an imminent image.

9. The method of claim 1 further comprising: receiving, by the at least one processor, requirements for telemetry; analysing, by the at least one processor, the telemetry including the output of the respective sensor in the selected plurality of sensors; and checking, by the at least one processor, if the telemetry meets requirements for telemetry.

10. The method of claim 9 further comprising: if the telemetry does not meet the requirements for telemetry, updating the flight plan, by the at least one processor during the flight, wherein the flight plan includes one or more new flight directions. CA 3302383 Date reçue / Received date 2026-02-19 29 11. A system associated with operation of an aircraft, the system comprising: a plurality of sensors which in operation are coupled to the aircraft to form an aircraftsensor system; at least one processor communicatively coupled to the plurality of sensors; and a tangible non-transitory storage device storing processor-executable instructions that, as a result of execution by the at least one processor, causes the at least one processor to: receive a request for telemetry to be acquired by a selected aircraft-sensor system; receive specifications for one or more aircraft-sensor systems; select an aircraft-sensor system from the one or more aircraft-sensor systems based on the request for telemetry and the specification for one or more aircraftsensor systems; generate a flight plan including a flight path for the selected aircraft included in the selected aircraft-sensor system, and a longitudinal sampling condition for the selected plurality of sensors included in the selected aircraft-sensor system; load the flight plan in at least one tangible non-transitory processor-readable storage device, which in a flight, is carried by the selected aircraft; trigger, during the flight, a respective sensor in the selected plurality of sensors to acquire the telemetry based on, at least, the longitudinal sampling condition; and update, during the flight, the flight plan.

12. The system of claim 11, wherein, the plurality of sensors includes an atmospheric composition sensor.

13. The system of claim 11, wherein, the plurality of sensors includes an imager. CA 3302383 Date reçue / Received date 2026-02-19 30 14. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to: check if the one aircraft-sensor system is suitable based on the request for telemetry and specification for the one aircraft-sensor system if the one or more aircraftsensor systems consist of one aircraft-sensor system; and send an alert to a user device if there is no suitable aircraft-sensor system.

15. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to: receive specifications for one or more aircraft; receive specifications for one or more pluralities of sensors; analyze specifications for the one or more aircraft; and analyze specifications for the one or more pluralities of sensors.

16. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to store the acquired telemetry on the at least one tangible non-transitory processor-readable storage device.

17. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to cause the aircraft to: follow the flight path, based on a plurality of flight directions in the fight plan; and display, for the operator of the aircraft, a flight direction included in the plurality of flight directions.

18. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to cause the aircraft to: receive a plurality of technical requirements for telemetry; and compute the flight path to acquire the telemetry from a plurality of sensors wherein the flight path includes one or more flight directions. CA 3302383 Date reçue / Received date 2026-02-19 31 19. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to cause the aircraft to: receive a target, a desired ground sampling distance (GSD), tessellation specification, or image overlaps; compute the one or more flight directions which when followed effect the plurality of passes proximate to a target; and compute one or more of the longitudinal sampling conditions.

20. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to cause the aircraft to activate the plurality of sensors when the longitudinal sampling condition is met, wherein the longitudinal sampling condition is selected from the group consisting of: a time, a location, a location and an orientation of the sensor, an observed overlap of an acquired image and a preview of an imminent image, and a predicted overlap of an acquired image and a footprint of an imminent image.

21. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to: receive requirements for telemetry; analyze the telemetry including the output of the respective sensor in the selected plurality of sensors; and check if the telemetry meets requirements for telemetry.

22. The system of claim 11, wherein, when executed, the processor executable instructions direct the at least one processor to update the flight plan during the flight if the telemetry does not meet the requirements for telemetry, wherein the flight plan includes one or more new flight directions. CA 3302383 Date reçue / Received date 2026-02-19