DocumentCode
2676192
Title
Comparison of Vegetation Index from ASTER, CBERS and Landsat ETM+
Author
Du, Peijun ; Zhang, Huapeng ; Yuan, Linshan ; Liu, Pei ; Zhang, Hairong
Author_Institution
China Univ. of Min. & Technol., Xuzhou
fYear
2007
fDate
23-28 July 2007
Firstpage
3341
Lastpage
3344
Abstract
Normalized difference vegetation index (NDVI), as the most important index derived from the red and near infrared spectrum scope of multi-spectral remotely sensed data, plays important roles to remote sensing applications in different fields. Three data sources operated by different vendors are chosen to compare the NDVIs derived from them and discover mutual relationships. The three sensors are ASTER, CBERS and Landsat ETM+. Before NDVIs are computed, image registration, geometric correction and atmospheric correction are conducted. The comparison is conducted from three levels: global level at the whole image scene, local level at some specific areas, and special object level by using related statistical indexes, and some useful suggestions are given based on the comparison.
Keywords
image registration; remote sensing; vegetation; ASTER; CBERS; Landsat ETM+; NDVI; Normalized Difference Vegetation Index; atmospheric correction; geometric correction; image registration; multispectral remotely sensed data; near infrared spectra; red spectra; statistical indexes; Cities and towns; Image registration; Information analysis; Infrared spectra; MODIS; Radiometry; Reflectivity; Remote sensing; Satellites; Vegetation mapping; ASTER; CBERS; Landsat TM; Normalized Difference Vegetation Index (NDVI);
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location
Barcelona
Print_ISBN
978-1-4244-1211-2
Electronic_ISBN
978-1-4244-1212-9
Type
conf
DOI
10.1109/IGARSS.2007.4423560
Filename
4423560
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