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http://dx.doi.org/10.7780/kjrs.2008.24.6.621

Basal Area Mapping using Remote Sensing and Ecological Data  

Lee, Jung-Bin (School of Civil & Environmental Engineering, College of Engineering)
Jayakumar, S. (School of Civil & Environmental Engineering, College of Engineering)
Heo, Joon (School of Civil & Environmental Engineering, College of Engineering)
Publication Information
Korean Journal of Remote Sensing / v.24, no.6, 2008 , pp. 621-629 More about this Journal
Abstract
This study was carried out in part of Tamil Nadu, India. Also, Landsat ETM+ image and field sampling data were acquired. The field data were basal area, number of trees and number of species. Using the data set, this study performed a three steps processing, (1) Image classification (2) extracting the vegetation indices(NDVI, Tasseled cap brightness, greenness and wetness) (3) mapping the prediction of biodiversity distribution using basal area and NDVI image value. Basal area was significantly correlated with NDVI. The result of classification showed 69% overall accuracy.
Keywords
Remote Sensing; Floristic Biodiversity; Vegetation Index; Object-Oriented Classification; Basal area;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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