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>New Findings in Remote Sensing Described from International Crops Research Institute for the Semi-Arid Tropics (Detecting Soil Ph From Open-source Remote Sensing Data: a Case Study of Angul and Balangir Districts, Odisha State)
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New Findings in Remote Sensing Described from International Crops Research Institute for the Semi-Arid Tropics (Detecting Soil Ph From Open-source Remote Sensing Data: a Case Study of Angul and Balangir Districts, Odisha State)
By a News Reporter-Staff News Editor at Network Daily News – Data detailed on Remote Sensing have been presented. According to news reporting originating from Hyderabad, India, by NewsRx correspondents, research stated, “Soil sampling, collection, and analysis are a costly and labor-intensive activity that cannot cover the entire farmlands; hence, it was conceived to use high-speed open-source platforms like Google Earth Engine in this research to estimate soil characteristics remotely using high-resolution open-source satellite data. The objective of this research was to estimate soil pH from Sentinel-1, Sentinel-2, and Landsat-8 satellite-derived indices; data from Sentinel-1, Sentinel-2, and Landsat-8 satellite missions were used to generate indices and as proxies in a statistical model to estimate soil pH.”
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