The use of different remote sensing imagery to forest lands a case study: Belgrad forest

被引：0

作者：

Musaoglu, N ^{[1
]}

Kantarci, MD ^{[1
]}

机构：

[1] Istanbul Tech Univ, Fac Civil Engn, Remote Sensing Div, TR-34496 Istanbul, Turkey

来源：

REMOTE SENSING IN TRANSITION | 2004年

关键词：

remote sensing; forestry; LANDSAT TM; IRS; 1C; LISS; 3;

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：

In this study, having rich forest types, Belgrad Forest, located on the European side of Istanbul, has been selected as study area. In determining the tree stand types, LANDSAT TM, IRS 1C and LISS 3 satellite images have been used. In order to study the condition of the area and the changes, image enhancement and classification algorithms have been applied to satellite images. In differentiating types of forest through satellite images, image classification algorithms based on field study were used. The results have been transferred to the database together with other data such as forest map, soil map, geological map and digital elevation model in order to set up geographic information system.

引用

页码：103 / 107

页数：5

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