首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于遥感数据的宁夏地区土壤水分反演方法比较
引用本文:王连喜,李兴阳,余凌翔,运方华,耿秀华,李琪.基于遥感数据的宁夏地区土壤水分反演方法比较[J].南京气象学院学报,2013,5(1):26-33.
作者姓名:王连喜  李兴阳  余凌翔  运方华  耿秀华  李琪
作者单位:南京信息工程大学 江苏省大气环境监测与污染控制高技术研究重点实验室,南京,210044;南京信息工程大学 环境科学与工程学院,南京,210044;南京信息工程大学 江苏省大气环境监测与污染控制高技术研究重点实验室,南京,210044;南京信息工程大学 环境科学与工程学院,南京,210044;云南省气候中心,昆明,650034;南京信息工程大学 江苏省大气环境监测与污染控制高技术研究重点实验室,南京,210044;南京信息工程大学 环境科学与工程学院,南京,210044;南京信息工程大学 江苏省大气环境监测与污染控制高技术研究重点实验室,南京,210044;南京信息工程大学 环境科学与工程学院,南京,210044;南京信息工程大学 江苏省大气环境监测与污染控制高技术研究重点实验室,南京,210044;南京信息工程大学 环境科学与工程学院,南京,210044
基金项目:公益性行业(气象)科研专项(GYHY201106024;GYHY200806022)
摘    要:利用MODIS产品数据MOD11A2和MOD13A2获取地表温度(TS)、昼夜温差(DST)、归一化植被指数(NDVI)、增强植被指数(EVI),构建宁夏区域2005年4、7、10月逢8、18、28日TS-NDVI、TS-EVI、DST-NDVI、DST-EVI特征空间,根据TS-NDVI、TS-EVI、DST-NDVI、DST-EVI特征空间建立了温度植被干旱指数(TVDI)、温度增强植被指数型干旱指数(TEDI)、温差植被干旱指数(DTVDI)、温差增强植被指数型干旱指数(DTEDI),并以这些干旱指数作为土壤水分监测指标,反演了宁夏区域2005年4、7、10月的土壤水分.利用实测10 cm土壤水分进行相关分析,结果表明DTEDI在宁夏土壤水分反演中表现较好,DTVDI表现略好.

关 键 词:土壤水分  遥感  干旱指数  宁夏
收稿时间:2011/9/29 0:00:00

Comparison of soil moisture inversion methods with MODIS data in Ningxia
WANG Lianxi,LI Xingyang,YU Lingxiang,YUN Fanghu,GENG Xiuhua and LI Qi.Comparison of soil moisture inversion methods with MODIS data in Ningxia[J].Journal of Nanjing Institute of Meteorology,2013,5(1):26-33.
Authors:WANG Lianxi  LI Xingyang  YU Lingxiang  YUN Fanghu  GENG Xiuhua and LI Qi
Institution:Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Yunnan Climate Center, Kunming 650034;Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044;Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044
Abstract:MOD11A2 and MOD13A2 (data of MODIS) are used to get surface temperature (TS),temperature difference between day and night (DST),normalized difference vegetation index (NDVI),enhanced vegetation index (EVI) to construct characteristic space of TS-NDVI,TS-EVI,DST-NDVI and DST-EVI in April (8th,18th and 28th),July (8th,18th and 28th) and October (8th,18th and 28th) of 2005 in Ningxia region.Temperature Vegetation Drought Index (TVDI),Temperature Enhanced Drought Index (TEDI),Difference Temperature Vegetation Drought Index (DTVDI) and Difference Temperature Enhanced Drought Index (DTEDI) are established according to characteristic space of TS-NDVI,TS-EVI,DST-NDVI and DST-EVI.These drought indexes are used as monitoring index to retrieve soil moisture in April,July and October of 2005 in Ningxia region.Correlation analysis between observed 10 cm soil moisture and retrieved data is conducted,and the result shows that DTEDI is best,and DTVDI is better than TVDI and TEDI in retrieval results of soil moisture in Ningxia region.
Keywords:soil moisture  remote sensing  drought index  Ningxia
点击此处可从《南京气象学院学报》浏览原始摘要信息
点击此处可从《南京气象学院学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号