首页|New Machine Learning Findings from Nanning Normal University Described (Integrat ion of Machine Learning and Remote Sensing for Above Ground Biomass Estimation T hrough Landsat-9 and Field Data In Temperate Forests of the Himalayan Region)
New Machine Learning Findings from Nanning Normal University Described (Integrat ion of Machine Learning and Remote Sensing for Above Ground Biomass Estimation T hrough Landsat-9 and Field Data In Temperate Forests of the Himalayan Region)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Nanning, People’s Re public of China, by NewsRx editors, research stated, “Accuratelyestimating abov eground biomass (AGB) in forest ecosystems facilitates efficient resource manage ment,carbon accounting, and conservation efforts. This study examines the relat ionship between predictors fromLandsat-9 remote sensing data and several topogr aphical features.”
NanningPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemote SensingNanning Nor mal University
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