DocumentCode :
2858424
Title :
Scaling Vegetation Water Content from Thematic Mapper to MODIS During SMEX04
Author :
Hunt, E. Raymond, Jr. ; Yilmaz, M. Tugrul ; Jackson, Thomas J.
Author_Institution :
USDA-ARS Hydrol. & Remote Sensing Lab., Baltimore, MD
fYear :
2006
fDate :
July 31 2006-Aug. 4 2006
Firstpage :
1945
Lastpage :
1948
Abstract :
Vegetation water content (VWC) is important for accurate retrievals of soil moisture using microwave sensors and may be important for determining water stress and forest fire potential. The MODerate resolution Imaging Spectroradiometer (MODIS) and future operational sensors have bands in the shortwave infrared region which can be used for monitoring VWC. The Soil Moisture Experiments 2004 (SMEX04) were conducted during the summer-monsoon season in Arizona, USA, and Sonora, Mexico, as part of the North American Monsoon Experiment. Plots from different vegetation types were sampled for leaf area index and leaf equivalent water thickness. Landsat 5 Thematic Mapper (TM) and MODIS imagery were acquired for three dates, before, during and after the SMEX04 experiment. The Normalized Difference Infrared Index [NDII = (R850 - R1650)/(R850 + R1650)] was linearly related to canopy equivalent water thickness for the Landsat 5 TM data. The TM-estimated canopy equivalent water thickness were aggregated and linearly related to canopy equivalent water thickness from MODIS, showing that MODIS and future sensors would be useful in estimating vegetation water content.
Keywords :
moisture; remote sensing; soil; vegetation; Arizona; Landsat 5 Thematic Mapper; MODIS imagery; MODerate resolution Imaging Spectroradiometer; Mexico; Normalized Difference Infrared Index; North American Monsoon Experiment; SMEX04; Soil Moisture Experiments 2004; Sonora; TM; USA; canopy equivalent water thickness; forest fire potential; leaf area index; microwave sensors; soil moisture; vegetation types; vegetation water content; water stress; Content based retrieval; Fires; Infrared image sensors; MODIS; Microwave sensors; Remote sensing; Satellites; Soil moisture; Stress; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
Type :
conf
DOI :
10.1109/IGARSS.2006.503
Filename :
4241650
Link To Document :
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