Evaluation of NDVI in plant community composition mapping A case study for Tersakan Valley of Amasya County in Turkey      
Yazarlar (3)
Prof. Dr. Hakan Mete DOĞAN Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Ferhat Celep
Middle East Technical University (Metu), Türkiye
Karaer Fergan
Amasya Üniversitesi, Türkiye
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı International Journal of Remote Sensing
Dergi ISSN 0143-1161 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 07-2009
Cilt No 30
Sayı 14
Sayfalar 3769 / 3798
DOI Numarası 10.1080/01431160902918381
Makale Linki http://www.informaworld.com/smpp/content~db=all~content=a913384040~frm=abslink
Özet
Mapping the composition of plant community types requires reliable spatial data obtained from field surveys and satellite-derived indices. The normalized difference vegetation index (NDVI) is the simplest and most frequently used index in plant applications. If relationships between the NDVI and plant cover abundance are determined, this information can be used in the mapping process. In this study, we investigated these possible connections for mapping the plant community composition of Tersakan Valley in Turkey. We collected georeferenced cover-abundance (Braun-Blanquet, BB) data from 1077 quadrats in the field, and derived an NDVI raster map from a Landsat Enhanced Thematic Mapper Plus (ETM+) image. Then we classified this NDVI map by using various methods and class numbers. Using bivariate correlation analysis, we explored the relationships between 26 classified NDVI maps and BB, and chose the classified NDVI map with the strongest correlation. We further examined this relationship by using scatter plots, histograms and paired samples t-tests. According to the results, the NDVI (equal-interval 15) classes between 4 and 8 corresponded with the BB classes between 1 and 5, respectively. Using this relationship, the spatial distribution of 43 different plant community compositions were determined in geographic information systems (GIS). The results indicate that the NDVI has the potential to map plant community composition reliably. © 2009 Taylor & Francis.
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