谷歌浏览器插件
订阅小程序
在清言上使用

Using cloud computing techniques to monitor long-term variations in ecohydrological dynamics of small seasonally-flooded wetlands in semi-arid South Africa

Journal of Hydrology(2022)

引用 6|浏览12
暂无评分
摘要
•Semi-arid Southern African wetlands are lost due to unsustainable use and poor management.•Ramsar Convention on wetlands encourages development of frameworks for wetlands conservation.•The implementation of these frameworks is hindered by a dearth of high-resolution data.•Google Earth Engine (GEE) offers opportunities to address data challenges.•Findings underscores the relevance of GEE in evaluating wetland ecohydrological dynamics.
更多
查看译文
关键词
Artificial intelligence,Dryland wetland,Ephemeral wetland,Machine learning algorithm,Wetland condition,Wetland management
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要