Basal Area Mapping using Remote Sensing and Ecological Data

被引：0
|
作者：
Lee, Jung-Bin [1 ]
Jayakumar, S. [1 ]
Heo, Joon [1 ]
机构：
[1] Coll Engn, Sch Civil & Environm Engn, Seoul, South Korea
来源：
KOREAN JOURNAL OF REMOTE SENSING | 2008年 / 24卷 / 06期
关键词：
Remote Sensing; Floristic Biodiversity; Vegetation Index; Object-Oriented Classification; Basal area;
D O I：
暂无
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
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.
引用
收藏
页码：621 / 629
页数：9
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