首页|Findings in the Area of Machine Learning Reported from Chinese Academy of Scienc es (Long-term Monitoring of the Annual Irrigated Cropland Extent In Fragmented a nd Heterogeneous Arid Landscapes Using Machine Learning and Landsat Imagery)
Findings in the Area of Machine Learning Reported from Chinese Academy of Scienc es (Long-term Monitoring of the Annual Irrigated Cropland Extent In Fragmented a nd Heterogeneous Arid Landscapes Using Machine Learning and Landsat Imagery)
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 Daily News - Investigators discuss new findings in Machine Learning. According to news originatingfrom Lanzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Understanding thelong-ter m spatiotemporal evolution of irrigated cropland is essential for water resource management, butthis knowledge remains elusive in most water-stressed arid area s. In this study, we introduced an integratedframework for long-term and field- scale mapping of annual irrigated cropland in arid and semiarid regions.”Financial support for this research came from Chinese Academy of Sciences.
LanzhouPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChinese Academy of Sciences
NETL
NSTL
