Wildlife Population Estimation via Remote Sensing Orthogonal Projection
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Solution Overview
Problem
Traditional methods for observing wildlife population size are labor-intensive, prone to errors, and difficult to conduct simultaneously, especially when dealing with hidden individuals, and they disrupt habitats.
Innovation Solution
A method using remote sensing imagery to calculate wildlife population size by computing the orthogonal projection area of animals in pixels, selecting appropriate image resolution, and dividing habitats into regions of interest to minimize background interference, allowing for non-contact and accurate population size estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual physical counting and estimation methods are used to observe wildlife population size, then observers can directly count individuals, but the method consumes great numbers of human power, material resources and time, and generates large errors
Solution Approach 1:
The patent replaces manual mechanical counting with remote sensing technology. High-resolution remote sensing images capture wildlife populations, and image processing algorithms automatically count individuals, eliminating the need for manual field surveys and significantly reducing time consumption while maintaining or improving accuracy.
Solution Approach 2:
The patent creates a visual copy of the wildlife population through remote sensing imagery. By capturing images from aerial or satellite platforms, the system produces accurate replicas of the population distribution that can be analyzed without physically entering the habitat, thus saving time and resources.
2Measurement precision
If manual physical counting methods are used, then observers can identify and count individuals, but the method is greatly influenced by experience of observers and difficult to realize observation of hidden individuals
Solution Approach 1:
The patent transitions from ground-level observation to aerial or satellite-based remote sensing, changing the observation dimension. This overhead perspective allows observers to detect hidden individuals that would be invisible from ground level, eliminating the difficulty of spotting concealed wildlife while improving counting accuracy.
Solution Approach 2:
The patent replaces human observer experience with automated image processing algorithms. These algorithms objectively analyze remote sensing images to identify and count individuals, eliminating subjectivity and experience-dependent variations while improving detection of hidden individuals through consistent pattern recognition.
3Measurement precision
If manual physical counting methods are used, then observers can conduct population surveys, but the method disrupts habitats and generates low economy efficiency
Solution Approach 1:
The patent replaces manual field survey methods with remote sensing technology. By using aerial or satellite-based imaging systems, the methodology eliminates the need for physical presence in wildlife habitats, thereby removing habitat disturbance entirely while maintaining or improving population observation accuracy through automated image analysis.
Solution Approach 2:
The patent creates remote visual copies of wildlife populations through imaging technology, allowing population assessment without physical intrusion into habitats. This copying approach enables accurate population counting while completely avoiding the harmful effects of habitat disruption associated with manual survey methods.
4Measurement precision
If traditional manual methods are used for population observation, then counting can be conducted, but the results are not at the same time point and have low economy efficiency
Solution Approach 1:
The patent replaces sequential manual counting with parallel automated image processing. Remote sensing captures the entire population in a single image or set of images, and computational algorithms simultaneously process all individuals, achieving both high accuracy and high productivity by eliminating the sequential nature of manual surveys.
Data Source
AI summary
The present invention relates to the field of wildlife protection, and particularly relates to a method for observing wildlife population size through a remote sensing imagery. The method specifically comprises: a proportion of orthogonal projection area of animals in each pixel to pixel area is computed and summed through a linear correlation between a gray value of a remote sensing imagery pixel and a proportion of the orthogonal projection area of individual animals to the pixel area, to obtain the total orthogonal projection area of target animal population; and population size is obtained on the basis of dividing by the orthogonal projection area of animals of measured individual animals, thereby solving the problem that it is difficult to observe the wildlife population size and a distribution pattern at the same time point. In the present invention, a satellite remote sensing imagery is used to observe the animal population to obtain the population size at the same time point, thereby avoiding errors caused by the pasting counting, estimation and other methods and increasing investigation accuracy and reliability. In the present invention, the remote sensing imagery is used to observe the animal population, thereby avoiding disturbance to animal behaviors and destruction to habitats of the wildlife due to short-distance observation of the wildlife, greatly enhancing safety and economy of field observation and realizing higher application value.