首页|Reports Outline Machine Learning Research from South China Normal University (A Parameter Optimized Method for InVEST Modelin Sub-Pixel Scale Integrating Machi ne Learning Algorithm and Vegetation-Impervious Surface-Soil Model)
Reports Outline Machine Learning Research from South China Normal University (A Parameter Optimized Method for InVEST Modelin Sub-Pixel Scale Integrating Machi ne Learning Algorithm and Vegetation-Impervious Surface-Soil Model)
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 – Research findings on artificial intelligence are discussed in a new report. According to newsoriginating from Guangzhou, People’ s Republic of China, by NewsRx correspondents, research stated,“The InVEST mode l, with its ability to perform spatial visualization and quantification, is an i mportanttool for mapping ecosystem services. However, the spatial accuracy and simulating performance of themodel are deeply influenced by the land use parame ter, which often relies on the accuracy of land use/coverdata.”
South China Normal UniversityGuangzhouPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesInvestment and FinanceMachine LearningRemote Sensing