DocumentCode :
152345
Title :
Estimating land cover type and proportion of vegetation using remote sensing
Author :
Eroi, Cernii Berin ; Tanyer, Suleyman Gokhun
Author_Institution :
Ortadogu Savunma Teknol. San. ve Tic. A.S., Ankara, Turkey
fYear :
2014
fDate :
23-25 April 2014
Firstpage :
556
Lastpage :
558
Abstract :
Estimation of the land cover type and proportion of vegetation using NASA´s EOS/MODIS data is verified as a case study for Turkey where 7 locations were selected. The correlation between the NDVI/EVI data is analyzed. EVI is shown to be slightly more accurate than NDVI. Land cover types are determined for these 7 locations, and similar to other locations, İstanbul and Samsun are found to perfectly match the `forest type´. İzmir is found to be different from the currently available land cover types which are assumed to be due to its mixed canopy structure. Annual and monthly average measurements in various bands are analyzed and expected correlation with the number of days of precipitation is observed.
Keywords :
geophysical image processing; land cover; remote sensing; vegetation mapping; EOS/MODIS data; NDVI/EVI data; Turkey; forest type; land cover type estimation; remote sensing; vegetation; Geologic measurements; Land surface temperature; MODIS; Remote sensing; Temperature measurement; Temperature sensors; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
Type :
conf
DOI :
10.1109/SIU.2014.6830289
Filename :
6830289
Link To Document :
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