Global tropical forest area measurements derived from coarse resolution satellite imagery: a comparison with other approaches

被引:75
作者
Mayaux, P [1 ]
Achard, F [1 ]
Malingreau, JP [1 ]
机构
[1] Commiss European Communities, Joint Res Ctr, TREES Project, Space Applicat Inst, I-21020 Ispra, VA, Italy
关键词
tropical forest area; global inventory; remote sensing;
D O I
10.1017/S0376892998000083
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Definition of appropriate tropical forest policies must be supported by better information about forest distribution. New information technologies make possible the development of advanced systems which can accurately report on tropical forest area issues. The European Commission TREES (Tropical Ecosystem Environment observation by Satellite) project has produced a consistent map of the humid tropical forest cover based on 1 km resolution satellite data. This base-line reference information can be further calibrated using a sample of high-resolution data, in order to produce accurate forest area estimates. There is good general agreement with other pantropical inventories (Food & Agriculture Organization of the United Nations Forest Resources Assessment 90, World Conservation Union Conservation Atlas of Tropical Forests, National Aeronautics & Space Administration [USA] Landsat Pathfinder) using different approaches (compilation of existing data, statistical sampling, exhaustive survey with satellite data). However, for some countries, large differences appear among the assessments. Discrepancies arising from this comparison are here analysed in terms of limitations associated with each approach and they are generally associated with differences in forest definition, data source and processing methodology. According to the different inventories, the total area of closed tropical forest is estimated at 1090-1220 million hectares with the following continental distribution: 185-215 million hectares in Africa, 235-275 million hectares in Asia, and 670-730 million hectares in Latin America. A proposal for improving the current state of forest statistics by combining the contribution of the various methods under review is made.
引用
收藏
页码:37 / 52
页数:16
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