遥感技术在资源环境中应用的现状及趋势

被引:9
作者
陆灯盛
游先祥
机构
[1] 印第安纳大学
[2] 北京林业大学资源与环境学院
关键词
遥感技术; 应用现状; 趋势;
D O I
10.13332/j.1000-1522.2003.s1.021
中图分类号
P237 [测绘遥感技术];
学科分类号
1404 ;
摘要
该文对国内外当前应用遥感技术进行资源与环境调查的现状进行了分析 .其中重点对不同尺度的森林资源调查与监测进行了探讨 .遥感技术应用中首先是遥感信息源选择与数据处理 ,文中对这些研究作了综合分析 ,并就其应用的几个方面进行了介绍
引用
收藏
页码:83 / 88
页数:6
相关论文
共 6 条
[1]  
Textural Classification of Forest Types from Landsat 7 Imagery[J] . O.B. Butusov.Mapping Sciences and Remote Sensing . 2003 (2)
[2]  
Evidential reasoning with Landsat TM, DEM and GIS data for landcover classification in support of grizzly bear habitat mapping[J] . S. E. Franklin,D. R. Peddle,J. A. Dechka,G. B. Stenhouse.International Journal of Remote Sensing . 2002 (21)
[3]   The use of multiscale remote sensing imagery to derive regional estimates of forest growth capacity using 3-PGS [J].
Coops, NC ;
Waring, RH .
REMOTE SENSING OF ENVIRONMENT, 2001, 75 (03) :324-334
[4]   Object-oriented abstraction of contemporary forest management design [J].
Baskent, EZ ;
Wightman, RA ;
Jordan, GA ;
Zhai, YH .
ECOLOGICAL MODELLING, 2001, 143 (03) :147-164
[5]   A remote sensing and GIS-based model of habitats and biodiversity in the Greater Yellowstone Ecosystem [J].
Debinski, DM ;
Kindscher, K ;
Jakubauskas, ME .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1999, 20 (17) :3281-3291
[6]  
Review article: Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements[J] . D. S. Kimes,R. F. Nelson,M. T. Manry,A. K. Fung.International Journal of Remote Sensing . 1998 (14)