Title :
Comparison of ALOS PALSAR RVI and Landsat TM NDVI for forest area mapping
Author :
Ling, F. ; Li, Z. ; Chen, E. ; Wang, Q.
Author_Institution :
Inst. of Forest Resources Inf. Tech., Chinese Acad. of Forestry, Beijing, China
Abstract :
The objective of this research is to investigate the effectiveness of the radar vegetation index (RVI) derived from ALOS PALSAR full polarimetric data for forest area mapping. Comparison was made between RVI and NDVI of Landsat TM data. After examining of the index maps and the corresponding histograms, forest/non-forest segmentation was performed by unsupervised classification and by threshold method. The results show that RVI is much better in this kind of application. Considering the data acquisition capability, full polarimetric SAR data are quite promising for forest monitoring.
Keywords :
data acquisition; geophysical signal processing; radar imaging; remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; ALOS PALSAR RVI; Landsat TM NDVI; Landsat TM data; NDVI comparison; SAR data; data acquisition capability; forest area mapping; forest monitoring; forest/nonforest segmentation; full polarimetric data; histograms; radar vegetation index; threshold method; unsupervised classification; Data acquisition; Matrix decomposition; Radar imaging; Radar polarimetry; Remote monitoring; Remote sensing; Satellites; Symmetric matrices; Synthetic aperture radar; Vegetation mapping; ALOS; Forest; NDVI; PALSAR; RVI;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374137
