17 results about "Deforestation" patented technology

Remote sensing satellite data services are limited by lack of data processing and analytic capabilities as current solutions rely on manual interventions, which are inefficient, cost prohibitive for large-scale processing, and prone to human errors. A system that utilizes a large language model to understand user intent and provokes corresponding computer vision models fine-tuned with remote sensing imagery datasets, such as open vocabulary object detection and segmentation model with state-of-the-art model architecture, is provided to enable users to extract useful insights by natural language text query. With such revolutionizing visual language model interaction built on a cloud-native platform, the system is able to help customers access satellite data and gain insights faster and easier than ever, and help companies, governments and civil society use satellite imagery to discover actionable insights regarding important phenomena, such as deforestation, agriculture, climate change, biodiversity, and supply chains worldwide.

The invention provides a technical method for performing vegetation coverage anomaly analysis based on a remote sensing image, which mainly comprises the following steps of: firstly, performing registration and preprocessing on a multi-temporal SAR (Synthetic Aperture Radar) image, and performing adaptive threshold coherence detection between adjacent time phases to quickly identify suspicious felling or severely sparse regions; secondly, dual-channel polarization InSAR height inversion is only carried out on the suspicious areas, and the height change of a forest canopy is accurately obtained so as to distinguish forest damage from other slight disturbances; and time sequence analysis is further performed on the multi-temporal image in combination with a small baseline subset InSAR technology, baseline optimization is realized in cooperation with vegetation coverage segmentation and coherence screening, and progressive or sudden vegetation coverage anomalies can be identified. And finally, according to comprehensive characteristics such as height change, coherence anomaly and phase jump, outputting the type and distribution of vegetation anomaly.

The present application aims at the problem that the Sentinel-1 backscattering data is significantly short-term time autocorrelated due to the influence of rainfall, soil moisture and surface water content change, and further leads to the high false alarm rate of traditional difference cumulative sum and deforestation detection method, discloses a kind of fast-growing forest deforestation detection method and device considering Sentinel-1 time correlation, and proposes an improved difference cumulative sum detection method by fusing sliding time window and random block resampling significance test, which calculates local difference cumulative sum curve using sliding time window, and extracts candidate change points based on maximum value;To overcome the statistical test bias caused by time correlation, a random block resampling strategy is innovatively introduced to retain the local dependence structure of time series, and an extreme difference null hypothesis distribution is constructed for significance test.The present application effectively improves the precision and robustness of short-period fast-growing forest deforestation event automatic identification in large-scale, long-time series monitoring scenarios.

This application provides a method, apparatus, electronic device, and storage medium for detecting deforestation in forest areas, relating to the field of artificial intelligence technology, to solve the problems of poor real-time performance and high detection costs in forest deforestation detection. The forest deforestation detection method includes: upon detecting the presence of a first feature in a first forest area image, detecting the presence of a second feature in a second forest area image. The first forest area image is acquired by a detection device installed on an outdoor tower. The second forest area image includes all or some features of the first forest area image, and includes the first feature, which is a feature matching the features of deforestation equipment, and the second feature is a feature matching the features of tree felling. If the second forest area image contains the second feature, it is determined that deforestation has occurred in the forest area corresponding to the second forest area image.

This invention discloses a method and system for identifying planted and natural forests based on multi-source remote sensing and spatiotemporal joint optimization, belonging to the fields of remote sensing image processing, earth observation, and dynamic monitoring of forest ecology. Addressing the problems of high label noise and disordered temporal logic in existing technologies, this invention obtains high-purity training samples through multi-stage iterative purification by fusing CCDC mutation history and deep semantic features; obtains pixel-level confidence through independent initial classification by geographic partitioning; constructs an HMM model integrating ecological prior constraints and dynamic adaptive emission probabilities for Viterbi decoding; and performs constrained spatial restoration with cross-dimensional temporal security checks. This invention effectively suppresses temporal pseudo-variables and salt-and-pepper noise, achieving high-resolution thematic mapping year by year with no temporal logical contradictions and regular spatial patches, suitable for fine-grained forest classification and compliance monitoring of zero-deforestation laws in tropical and subtropical regions.

The present invention provides a method for constructing kitchen cabinets using exclusively porcelain stone, eliminating the need for wood or any wooden components. This innovative approach offers significant health, environmental, and structural advantages. The porcelain material is 100% termite-proof, formaldehyde-free, and resistant to bacteria and fungi, ensuring a healthier and safer living environment. Environmentally, it eliminates deforestation and reduces the carbon footprint by avoiding harmful mining practices. Structurally, porcelain provides superior strength, fire resistance, and long-lasting durability, with a lifespan exceeding 25 years. This invention offers a sustainable, hygienic, and durable alternative to traditional kitchen materials, promoting a safer and more reliable solution for modern kitchen designs.

The invention relates to the technical field of photogrammetry, in particular to a communication line engineering investigation design method and system adopting an unmanned aerial vehicle for surveying and mapping. The method comprises the following steps of: 1, acquiring multi-source data driven by communication constraints; 2, reconstructing a three-dimensional geographic scene, separating the ground surface and the vegetation elevation through laser point cloud, and generating a digital elevation model and a vegetation canopy height model; performing semantic classification on the obstacles based on the multispectral image; 3, dynamically optimizing the position of the tower, generating tower candidate points along the path, iteratively checking the sag safety distance by combining a digital elevation model and a lead catenary equation, and adjusting the position and the type of the tower according to the path corner constraint; 4, verifying the electromagnetic compatibility of the obstacle; and step 5, integrated output of engineering parameters. According to the method, the vegetation area needing to be cleared can be accurately recognized, excessive felling is avoided, meanwhile, the electromagnetic compatibility of the obstacle is verified, and the negative influence on the environment is avoided.

A synthetic wood, systems and methods for producing the synthetic wood as an alternative to naturally grown wood, plastic, ceramic, stone, or other materials, including forming and processing bacterial cellulose. The resulting synthetic wood is stable at room temperature and can be made to exhibit mechanical properties, such as hardness, similar to naturally grown wood obtained from high-value trees subject to deforestation.

This invention proposes a remote sensing image change detection method combining a U-shaped network and a self-attention mechanism, mainly addressing the problems of large memory consumption and complex network structure in existing technologies. The implementation steps are as follows: 1) Obtain training and testing sample sets; 2) Construct a U-shaped change detection network model, which includes a cascaded multi-scale feature extraction module, a hierarchical self-attention mechanism, a fusion upsampling module, and a classifier; 3) Input the training sample set into the U-shaped change detection network model and iteratively train it using backpropagation; 4) Input the testing sample set into the trained U-shaped change detection network model to obtain a visualization of the remote sensing image change detection and numerical results. This invention achieves lightweight change detection, obtains multi-scale fine-grained features, reduces network structure complexity, improves detection accuracy, and reduces computational resources. It can be used for geological disaster detection, urban planning, and deforestation detection.

To provide a remote control deforestation device for core stopping which is excellent in light weight and size reduction, and can improve safety property and working property.SOLUTION: There is provided a remote control deforestation device for core stopping which is fitted to a tip of a trunk of a tree 40 to be deforested, and cuts the tree by remote control. The remote control deforestation device comprises: a slide table 20 which has a chain saw movable carriage 23 on which a chain saw 30 is detachably mounted, the slide table being mounted on a frame body 10a and moving the chain saw in a horizontal direction to the tree to be deforested. The slide table comprises: a table body 20a formed of a channel material; a propeller shaft 25 arranged along a longitudinal direction between two flanges of the table body; first and second propeller shaft support members 25b, 25c each of which is arranged on one / the other of both ends of the table body in the longitudinal direction, for supporting the propeller shafts; a pair of slide packs 20d, 20e each of which is arranged on one / the other of both sides of two flanges on the table body; and a drive unit for driving the propeller shaft to rotate.SELECTED DRAWING: Figure 2

The invention provides a method for identifying deforestation behaviors. The method comprises the following steps: scheduling an unmanned aerial vehicle to execute an inspection task; obtaining a visible light video and an infrared thermal imaging video shot by the unmanned aerial vehicle close to the target area in response to the received information that the unmanned aerial vehicle determines that the early warning scene exists in the target area; wherein the early warning scene at least comprises one of gathering personnel with felling machines, the felling machines in operation, collapsed trees and felling open areas in a forest; and determining whether a felling condition exists or not by using the visible light video and the infrared thermal imaging video. The invention further provides a management and control device and equipment for identifying the deforestation behavior and a storage medium.

Example implementations relate to deduplication operations in a storage system. An example involves receiving a stream of data units to be stored in persistent memory of a deduplication storage system; generating a manifest to record a received sequence of the data units; indexing the data units into container indexes, with each container index recording fingerprints and immutable storage locations of one or more data units; in response to a determination that the manifest has reached a threshold size, determining immutable storage locations recorded in the container indexes; and updating the manifest to record the determined immutable storage locations.

Manufacturing system (1) for the additive manufacturing of a component within a build area (4) of a powder bed, comprising - a build space (5) in which the powder bed (6) can be formed, and - a coating unit (16) with a coating element (18, 18', 18'', 26) for forming a flat powder bed surface (20), - wherein the coating unit (16) is arranged and designed to adjust the position of the coating element (18, 18', 18'', 26) without operator intervention, such that the powder bed surface (20) of the build area (4) can be formed independently of a defect (34) of the coating element (18, 18', 18'', 26), - characterized in that the manufacturing system comprises a conditioning unit (28) that can be brought into contact with a working side of the coating element (18, 18', 18'', 26) and which is arranged and designed to reduce or eliminate the defect of the coating element (18, 18', 18'', 26).

Remote sensing satellite data service is limited due to lack of data processing and analysis capabilities, and a current solution depends on manual intervention, so that the manual intervention is low in efficiency, the large-scale processing cost is too high, and human errors are easy to occur. A system is provided to enable a user to extract useful insights through natural language text queries that utilize large language models to understand user intent and elicit corresponding computer vision models that are fine tuned with remote sensing image datasets, such as open vocabulary object detection and object segmentation models with the latest model architecture. Through such revolutionary visual language model interaction established on a cloud native platform, the system can help customers access satellite data and obtain insights faster and more easily than before at any time, and help companies, governments and folk society use satellite images to discover feasible insights of related important phenomena. Such as deforestation, agriculture, climatic changes, biodiversity, and global supply chains.

The application discloses a kind of based on point cloud change's felling boundary automatic extraction method and system, wherein method includes: collecting the multi-period vegetation point cloud data of felling area;Two period point cloud data are obtained, and the two period point cloud data include historical period point cloud and current period point cloud;Extract the point cloud data of point cloud vegetation loss of current period point cloud relative to historical period point cloud, and determine as felling point cloud;The target felling point cloud is obtained by clustering denoising processing to the felling point cloud;The point cloud concentration of the target felling point cloud is obtained, and the target felling point cloud is grouped by identifying the point cloud concentration relatively concentrated part, and is divided into several change regions;Each change region is felling area.The above based on point cloud change's felling boundary automatic extraction method realizes the accurate identification function of felling area by multi-period point cloud analysis, and improves forestry data processing efficiency simultaneously.

The wood shaving preparation device comprises a supporting frame, a vibration feeder is fixedly connected to the upper portion of the supporting frame, a magnetic drum is connected to a discharging port of the vibration feeder, a wood shaving machine is fixedly connected to a discharging port of the magnetic drum, and a screen capable of adjusting the size of screen holes through an adjusting assembly is arranged at the discharging port of the wood shaving machine. Through cooperative work of the vibrating feeder, the magnetic drum, the wood shaving machine, the screen mesh with the adjustable screen hole size and other components, the problems that reed resources are wasted, water and soil pollution is caused by reed rot due to unmanned harvesting, and the fire risk is huge are fundamentally solved; and meanwhile, the supply tension situation that wood resources are deficient in artificial board manufacturing due to the fact that forest felling indexes are limited is relieved, efficient utilization and environment-friendly treatment of reeds are achieved, the production efficiency is improved, the controllability of product quality is guaranteed, operation is convenient and fast, and potential safety hazards are reduced.

A system consisting of: a trunk-mounted percussion sensor array configured to detect vibration signals indicating tree felling and generate an alert with associated location data; a weathervane environmental sensor array comprising at least one temperature sensor and one humidity sensor configured to detect environmental changes indicative of a forest fire and estimate the direction of the fire based on wind direction; and a communication module configured to transmit alerts from both arrays to a remote monitoring station.