激光生物学报Issue(6)：585-589,5.DOI:10.3969/j.issn.1007-7146.2014.06.013
基于混合像元分解的 MODIS 绿潮覆盖面积精细化提取方法研究
An Improved Model for MODIS Green Tide Covered Area Extraction Based on Mixed Pixel Decomposition
摘要
Abstract
In the green tide operational remote sensing monitoring,MODIS data with 250 m spatial resolution is the commonly adopted satellite data.Normalized difference vegetation index (NDVI)is the primary method used for extrac-tion of green tide information.However,it has been found that,because the MODIS spatial resolution is low,there are a lot of mixed pixels,resulting in severe overestimation of the extracted green tide area.To addressthis issue,we ap-pliedthe mixed pixel decomposition methodto the MODIS NDVI image,and the derived green tide area was then calibra-ted with thatextracted from the quasi-synchronous 30 m resolution HJ-1 CCD image.The validation shows thatcompared with the traditional methods,the new model provides more accurate result andis less sensitive to the uncertainty of NDVI threshold.关键词
混合像元分解/MODIS/NDVI/绿潮监测Key words
Mixed pixel decomposition/MODIS/NDVI/green tide monitoring分类
信息技术与安全科学引用本文复制引用
辛蕾,黄娟,刘荣杰,钟山,肖艳芳,王宁,崔廷伟..基于混合像元分解的 MODIS 绿潮覆盖面积精细化提取方法研究[J].激光生物学报,2014,(6):585-589,5.基金项目
国家自然科学基金（41306028，41476159）；海洋公益性行业科研专项 （）
