首页|Investigators at Indian Institute of Technology Roorkee Discuss Findings in Mach ine Learning (Potential Assessment of Sar and Optical Data With Machine Learning To Monitor Temporal Changes In Tall Vegetation)
Investigators at Indian Institute of Technology Roorkee Discuss Findings in Mach ine Learning (Potential Assessment of Sar and Optical Data With Machine Learning To Monitor Temporal Changes In Tall Vegetation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Roorke e, India, by NewsRx journalists, research stated, “The globaldecline in tall ve getation (TV) due to environmental degradation necessitates effective detection methodsfor conservation and sustainable development goals. This study presents a novel machine learning (ML)approach for mapping TV cover changes at a pixel l evel (10 m) using information fusion of SyntheticAperture Radar (SAR) and multi spectral optical data.”
RoorkeeIndiaAsiaCyborgsEmerging TechnologiesMachine LearningIndian Institute of Technology Roorkee
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