Title :
Innovative NDVI time-series analysis based on multispectral images for detecting small scale vegetation cover change
Author :
Xiaojing Li ; Linlin Ge ; Cholathat, Rattanasuda ; Zhe Hu
Author_Institution :
Geosci. & Earth Observing Syst. Group (GEOS), Univ. of New South Wales, Sydney, NSW, Australia
Abstract :
A natural CO2 leakage site is studied in order to understand the impact of top soil CO2 contamination on vegetation cover. The site is relatively small and with a very high elevation. The authors are motivated to develop a new algorithm for locating land surface change with vegetation index NDVI. One of the challenges in this study is that it is impossible to develop a vegetation growth model because of large data gaps. There were only 27 Landsat 5 TM images available for time series analysis. Moreover, the selected AOI covered just 4 pixels of MODIS image in computation for NDVI difference. However, the results are very promising in locating these NDVI changed pixels. The clear trend of NDVI change of these pixels on the vegetation cover that suffered CO2 damage has proven this proposed algorithm´s capability in monitoring potential CO2 leakage at CCS site even with a small scale.
Keywords :
geophysical image processing; land cover; soil; time series; vegetation mapping; CCS site; Landsat TM images; MODIS image; NDVI change trend; NDVI changed pixels; NDVI difference; innovative NDVI time-series analysis; land surface change; multispectral images; natural CO2 leakage site; small scale vegetation cover change; suffered CO2 damage; top soil CO2 contamination; vegetation cover; vegetation index; Earth; MODIS; Remote sensing; Satellites; Soil; Vectors; Vegetation mapping; CCS site; CO2 leakage; Landsat-5 TM; Mammoth Mountain; change detection; small scale; vegetation cover change;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723784