BP has filed a patent for a method to detect changes in forest cover using statistical analysis of remotely sensed data. The method involves comparing forest-cover classification data at different times, identifying unchanged subregions, analyzing sensor data, and classifying locations based on the analysis. GlobalData’s report on BP gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on BP, Selective catalytic ammoxidation was a key innovation area identified from patents. BP's grant share as of January 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Method of detecting forest cover change using statistical analysis
A patent application (Publication Number: US20240035962A1) describes a method and system for detecting forest cover change using a processor. The method involves receiving forest cover classification data at different times, identifying subregions with unchanged forest cover, obtaining sensor data for these subregions, and analyzing the data to classify locations as having unchanged or changed forest cover. The system includes a processor and memory storing programming instructions to carry out these steps, including comparing sensor data to expected values and using ancillary data for classification.
The method and system utilize sensor data, such as measurements of reflected light in spectral bands like near-infrared, to identify changes in forest cover. By analyzing locations in the land area based on deviations from expected values, the technology can accurately classify areas with unchanged or changed forest cover. Additionally, the system can handle properties individually by comparing sensor data to expected values and classifying them accordingly. This innovative approach offers a systematic and efficient way to monitor forest cover changes over time, providing valuable insights for environmental conservation and land management efforts.
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