DocumentCode
2710920
Title
Spatial and temporal analysis of MODIS EVI and TRMM 3B43 rainfall retrievals in Australia
Author
Wong, Wing Fung James
Author_Institution
Dept. of Geogr., Univ. of Cambridge, Cambridge, UK
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
7
Abstract
Precipitation is a major source of freshwater in water cycle. Accurate information and spatial details of water availability are important to arid and semi-arid areas. This study examined the relationships between vegetation cover and rainfall variability in Australia from 2000 to 2008. Vegetation index can be treating as a proxy of precipitation. By linear regression of the EVI values to the rainfall data in various spatial and temporal scales, relations between EVI values and rainfall amount can be establish and used to predict cumulative spatial rainfall amount at relatively high resolution. This relation can help to develop a new methodology that uses finer scale EVI patterns to estimate precipitation in semi-arid and arid areas. Analysis results showed that EVI was a good proxy for precipitation in 0.25° resolution. Seasonal and principle component analysis of EVI and rainfall indicated that there were strong seasonal correlation between EVI and rainfall.
Keywords
principal component analysis; rain; regression analysis; vegetation; AD 2000 to 2008; Australia; EVI value; MODIS EVI rainfall retrieval; TRMM 3B43 rainfall retrieval; freshwater; linear regression; precipitation; principle component analysis; rainfall variability; spatial analysis; temporal analysis; vegetation cover; vegetation index; water cycle; Australia; Correlation; MODIS; Meteorology; Spatial resolution; Time series analysis; Vegetation mapping; MODIS EVI; TRMM rainfall; principle component analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980968
Filename
5980968
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