Server-Based Forest Inventory Analysis Using Multispectral Imagery
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Solution Overview
Problem
Current systems for estimating forest inventory and terrain are inefficient due to lengthy and error-prone photo-interpretation methods, high costs associated with LiDAR technology, and inaccuracies in digital terrain models under forest canopies, leading to delayed and outdated forest management decisions.
Innovation Solution
A server-based system that processes airborne or space-borne images to compute and display hardwood and softwood inventories, using multispectral imagery and digital terrain models to enhance digital terrain data, reducing errors and costs by leveraging existing data sources for calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If photo-interpretation methods are used to estimate forest inventory, then forest inventory data can be obtained, but the process is lengthy and error-prone leading to delayed decisions
Solution Approach 1:
The patent replaces manual photo-interpretation methods with automated image processing systems using computers and software algorithms to analyze aerial and satellite images, thereby eliminating the time-consuming and error-prone manual process while maintaining or improving measurement precision through consistent automated analysis
Solution Approach 2:
The patent introduces digital image processing technology as an intermediary between raw aerial/satellite imagery and forest inventory data, using computer-based analysis systems to automatically extract forest parameters from images, thus bridging the gap between image data and actionable inventory information without manual intervention
2Measurement precision
If LiDAR technology is used to improve terrain modeling accuracy, then measurement precision is improved, but costs increase significantly
Solution Approach 1:
The patent combines multiple existing data sources including aerial photographs, satellite imagery, and available digital terrain models into a unified processing system that leverages the strengths of each source to achieve accurate terrain modeling without requiring expensive LiDAR technology
Solution Approach 2:
The patent uses existing aerial and satellite imagery as substitutes for LiDAR data, processing these readily available image copies to extract terrain information through automated analysis, thereby achieving comparable results without the high costs associated with LiDAR technology
3Loss of information
If digital terrain models are used under forest canopies, then terrain data can be obtained, but inaccuracies occur due to canopy obstruction
Solution Approach 1:
The patent segments the terrain modeling process into distinct zones: areas visible from aerial imagery and areas obscured by canopies, applying different processing techniques to each segment - using direct image analysis where visible and alternative methods where obscured, thereby maintaining overall model accuracy
Solution Approach 2:
The patent introduces calibration data and intermediate processing steps as mediators between the obstructed imagery and final terrain models, using available ground control points and calibration information to correct and validate terrain model accuracy in canopy-obscured areas
4Loss of information
If conventional forest inventory systems are used, then basic inventory data can be obtained, but productivity is low due to manual processes
Solution Approach 1:
The patent replaces manual forest inventory processing with automated computer-based systems that use software algorithms to analyze images and extract forest parameters, dramatically increasing productivity while maintaining complete and accurate inventory data through systematic automated processing
Solution Approach 2:
The patent implements continuous automated processing of aerial and satellite imagery to generate forest inventory data, eliminating the intermittent and sequential nature of manual processing, thereby enabling ongoing updates and continuous availability of current forest inventory information
Data Source
AI summary
A forest-inventory management apparatus is for a forest image having forest information associated with a forest. The forest image is acquired from an in-flight vehicle. The forest-inventory management apparatus includes a server system. The server system includes a processor assembly and a non-transitory machine-readable storage medium configured to tangibly store a processor-executable programmed code. The processor-executable programmed code is configured to urge the processor assembly to execute the following operations: (A) read data representing the forest image having the forest information associated with the forest; (B) compute data representing a supply of forest inventory of hardwood and softwood trees expected to be available for harvesting based on the forest information associated with in the forest image; and (C) provide the data representing the supply of forest inventory expected to be available for harvesting from the forest associated with the forest image.