Studies on biodiversity using semivariogram approach from IRS-1C LISS-III data

被引：0
|
作者：
Krishna Prasad V. [1 ]
Rajagopal T. [2 ]
Kant Y. [1 ]
Srinivas S. [1 ]
Badarinath K.V.S. [1 ]
机构：
[1] National Remote Sensing Agency (Dept. of Space), Balanagar
[2] Dept. of Botany, Taxonomy Lab., Osmania University
来源：
Journal of the Indian Society of Remote Sensing | 1998年 / 26卷 / 3期
关键词：
Remote Sensing; Forest Stand; Tree Density; Canopy Structure; Digital Imagery;
D O I：
10.1007/BF03026667
中图分类号：
学科分类号：
摘要：
Present study attempts to utilise the spatial information from IRS-1C LISS-III satellite data, through the use of Semivariogram approach, for analyzing the overstorey diversity in forest stands. Semivariance has been calculated for all the pixels in 15×15 pixel window for each of the forest stand using digital numbers from near infrared channel. Variation in Semivariance has been correlated to stand density and species composition. Analysis of averaged semivariance for overall diversity of forest stands suggested decreasing semi variance in the order, mixed dry deciduous forests, mixed scrub forests followed by dry deciduous forest. Scmivariancc has been found to be highly correlated to tree density (R2 =0.96) suggesting semivariograms as one of the measures for studies on tree density, canopy cover and diversity patterns.
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页码：103 / 112
页数：9
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