Title :
Analysis of the relationship between microwave emissivity and NDVI / MVI/soil moisture over Tibetan Plateau, China
Author :
Shi Lijuan ; Qiu Yubao
Author_Institution :
Center for Earth Obs. & Digital Earth, Beijing, China
Abstract :
The land microwave emissivity derived from satellite measurement is a function of surface cover structure, water content, surface roughness and the atmosphere composition. In this paper, the microwave emissivity derived by AMSR-E has been compared with the estimated soil moisture and microwave vegetation index (MVI), MODIS NDVI over Tibetan Plateau, which aims to understand the intrinsic relationship among satellite products physically. The microwave emissivities display the more consistent change with MVIs than NDVI over mixed forest cover area from time series analysis for summer and winter. While over grassland area, NDVI has the good position correlation with soil moisture, and the same to emissivity in summer time. Soil moisture derived the good negative correlation with microwave emissivity in arid and semiarid areas but poor in vegetation covered area. All of these are consistent with the expected results statistically which can provide one way to validate the microwave emissivity dataset.
Keywords :
atmospheric composition; radiometry; soil; surface roughness; time series; vegetation; AMSR-E; China; MODIS NDVI; NDVI good position correlation; NDVI-MVI-soil moisture; Tibetan Plateau; atmosphere composition; estimated soil moisture; grassland area; land microwave emissivity; microwave emissivity dataset validation; microwave emissivity good negative correlation; microwave emissivity relationship analysis; microwave vegetation indices; mixed forest cover area; normalized difference of vegetation index; physical satellite product intrinsic relationship; satellite measurement; semiarid area; summer season; summer time emissivity; surface cover structure function; surface roughness; time series analysis; vegetation covered area; water content; winter season; Correlation; Microwave measurements; Microwave radiometry; Microwave theory and techniques; Soil moisture; Vegetation mapping; MVIs; Microwave Emissivity; NDVI; Soil Moisture;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351503