摘要
利用MODIS数据提取了7种不同植被指数(LST/VI)作为遥感参数,将其与地面实测含水量进行相关性分析,探索不同植被指数与土壤、植株含水量的关系,旨在为山西省冬小麦农田含水量监测提供科学依据。结果表明:与植被供水指数相比,LST/DVI和LST/RDVI在拔节期进行冬小麦干旱监测较好;而在抽穗期LST/PVI、LST/SAVI可代替LST/NDVI来监测冬小麦干旱;成熟期利用LST/PVI进行干旱监测,其效果明显好于LST/NDVI。
Seven vegetation indices（LST/VI） were extracted as remote sensing parameters using MODIS.Then relativity of each vegetation index and measured data of land were analyzed.The relationship were explored between different vegetation indices and soil and plant water content.The purpose was to provide scientific basis for monitoring winter wheat drought.The results showed that,compared with vegetation supply water index,LST/DVI and LST/RDVI could be used to monitor winter wheat drought in jointing period.LST/PVI and LST/SAVI could be used to replace LST/NDVI in earing period and LST/PVI was obviously better than LST/NDVI.
出处
《山西农业大学学报（自然科学版）》
CAS
2011年第5期396-399,共4页
Journal of Shanxi Agricultural University(Natural Science Edition)
基金
山西省科技攻关项目(2006031114
20110311038)
山西农业大学科技创新基金(2009020)
山西农业大学科研启动基金(XB2009016)
