DocumentCode :
1880761
Title :
Evaluation on consistency between HJ-1 CCD and TM images in monitoring fractional green vegetation cover
Author :
Liu, Shuai ; Li, Qi ; Mao, Xi ; Zhang, Junkui
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
fYear :
2011
fDate :
24-29 July 2011
Firstpage :
1005
Lastpage :
1008
Abstract :
The fractional green vegetation cover (Fc) is an important climate model parameter. Remote sensing technique has become one of the most effective means to acquire vegetation dynamics information. The CCD cameras onboard HJ-1 satellites (Environment and Disaster monitoring and forecasting Satellite constellation) are advanced in revisit frequency and image coverage compared with Landsat TM. This study aims to assess the capability of HJ-1 CCD images in monitoring of Fc in terms of comparing with the widely used TM images. The quality of HJ-1 CCD is compared with the same temporal TM image in two aspects: the image statistical analysis and the image application analysis. After the comparison between the HJ-1 CCD image and TM image of the same area. The results show a high level of uniform between HJ-1 and TM images. Therefore, the conclusion may be drawn that the HJ-1 CCD image is feasible and suitable for Fc monitoring.
Keywords :
climatology; geophysical image processing; statistical analysis; vegetation; vegetation mapping; CCD camera; China; Guanting reservoir; HJ-1 CCD image; HJ-1 satellite; Landsat TM image; climate model parameter; disaster forecasting; disaster monitoring; environment monitoring; fractional green vegetation cover monitoring; image application analysis; image consistency evaluation; image coverage; image statistical analysis; remote sensing technique; satellite constellation; temporal TM image; vegetation dynamics information; Charge coupled devices; Green products; Monitoring; Remote sensing; Satellites; Soil; Vegetation mapping; Fractional green vegetation cover; HJ-1 CCD; NDVI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
ISSN :
2153-6996
Print_ISBN :
978-1-4577-1003-2
Type :
conf
DOI :
10.1109/IGARSS.2011.6049303
Filename :
6049303
Link To Document :
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