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Improvement of forest type classification by SPOT HRV with 20 m mesh DTM

 

作者: T. SENOO,   F. KOBAYASHI,   S. TANAKA,   T. SUGIMURA,  

 

期刊: International Journal of Remote Sensing  (Taylor Available online 1990)
卷期: Volume 11, issue 6  

页码: 1011-1022

 

ISSN:0143-1161

 

年代: 1990

 

DOI:10.1080/01431169008955073

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

For multispectral analysis of forest land in mountainous areas, the estimation of true reflectance without the terrain having an effect on the sensor response is indispensable. To study this subject, the authors carried out the following experiment. First, we made a precise digital terrain model (DTM) at an interval of 10 m for a test forest site covered with Lambertian-type crown surface. Analysing the forest land from the SPOT data with the precise DTM, we obtained a classification result of forest type about 20 per cent higher accuracy than the result without application of this method.

 

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