Assessment of water constituents in highly turbid productive water by optimization bio-optical retrieval model after optical classification

Journal of Hydrology(2014)

引用 12|浏览11
暂无评分
摘要
•We developed a new bio-optical optimizing retrieval model with two optimization steps.•Classification improved the retrieval accuracy of this new bio-optical model.•A large body of in situ data validated this algorithm.•This algorithm shows wide application to types of water and satellite sensors.
更多
查看译文
关键词
Chlorophyll-a concentration,Total suspended matter,Genetic algorithm,Non-linear quadratic programming,Taihu Lake
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