首页|East China University of Science and Technology Reports Findings in Machine Lear ning (Addressing the impact of land use land cover changes on land surface tempe rature using machine learning algorithms)
East China University of Science and Technology Reports Findings in Machine Lear ning (Addressing the impact of land use land cover changes on land surface tempe rature using machine learning algorithms)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Shanghai, People’s Repu blic of China, by NewsRx correspondents, research stated, “Overthe past two and a half decades, rapid urbanization has led to significant land use and land cov er(LULC) changes in Kabul province, Afghanistan. To assess the impact of LULC c hanges on land surfacetemperature (LST), Kabul province was divided into four L ULC classes applying the Support VectorMachine (SVM) algorithm using the Landsa t satellite images from 1998 to 2022.”
ShanghaiPeople’s Republic of ChinaAs iaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
