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