Paper
17 August 1998 Application of remote sensing in Chinese forestry
Xianwen Zhao, Chao Yuan
Author Affiliations +
Proceedings Volume 3502, Hyperspectral Remote Sensing and Application; (1998) https://doi.org/10.1117/12.317789
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China
Abstract
Satellite data was regarded as a main information source by many key projects in forestry for the past 20 years. such as the comprehensive inventory of remote sensing in "Three north" protection forest, monitoring and assessing on forest fire, evaluation Yunnan provincial tropical forest in southwest China, assessing forest ecological effect, preventing desertification, monitoring insects and innovating on current forest resources survey system, etc. Under the support of computer techniques and models, a relationship was established between remote sensing data and forest environmental factors, so they can express and estimated with quantitative methods. The satellite data being used include TM.. SPOT NOAA ERS-1 and Radarsat. This paper aims to introduce the application ofsatellite remote sensing data in Chinese forestry, especially the methods of estimating for growing stock volume, appraising the efficiency of using remote sensing data, estimating forest fuels with remote sensing, discovering early and assessment on forest fire, as well as brief introduction of remote sensing application in ecological forestry forest environment and forestry division. All ofwork mentioned in this paper is special achievements of Chinese forestry experts.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xianwen Zhao and Chao Yuan "Application of remote sensing in Chinese forestry", Proc. SPIE 3502, Hyperspectral Remote Sensing and Application, (17 August 1998); https://doi.org/10.1117/12.317789
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KEYWORDS
Forestry

Remote sensing

Satellites

Data analysis

Earth observing sensors

Satellite imaging

Analytical research

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