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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