DocumentCode
2139533
Title
Approach and validation on land surface albedo retrieval using multiangular remote sensing observations
Author
Xie, Liou ; Wang, Jindi ; Li, Xiaowen ; Yan, Guangjian ; Xiang, Yueqin ; Zhang, Hao ; Ding, Xin ; Yang, Hua
Author_Institution
Res. Center for Remote Sensing & GIS, Beijing Normal Univ., China
Volume
6
fYear
2002
fDate
2002
Firstpage
3211
Abstract
The main problem in the validation is that the field-measured albedo is different in scale from the albedo estimated using remote sensing data. The albedo-meter based field measurement is over a small area. On the contrary, the spatial resolution of the MODIS albedo production is about 1 km. Another problem is the different wavebands or albedo-meter and MODIS sensor. As a solution, we suggest to use the field multiangular measurements data that is captured in a small field of view (FOV) to retrieve the albedo by Ambrals model inversion. As a result, the retrieved albedo is comparable with that measured by albedo-meter since they have the same scale. At the same time, the effect of wavebands difference is also corrected. In the second step, we extend this method to the airborne MARS observations of the same target. Scaling-up can be considered based on the two inverted albedos. The retrieved albedo from airborne data can be validated using field measurement too. Finally, the airborne retrieved albedo can be used to validate the MODIS albedo production. In this framework, the field measured data sets come from a large satellite-airborne-ground synchronous experiment that was taken in Shunyi, which is in the north of Beijing, in April of 2001.
Keywords
albedo; terrain mapping; Ambrals model inversion; Beijing; China; MODIS albedo production; Shunyi; airborne MARS observations; airborne data; field of view; land surface albedo retrieval; multiangular remote sensing observations; scaling-up; Cities and towns; Geographic Information Systems; Geography; Information retrieval; Land surface; MODIS; Mars; Production; Reflectivity; Remote sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1027133
Filename
1027133
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