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Estimation of forest parameters based on TM imagery and statistical analysis

✍ Scribed by Wen-bo Chen; Xiao-fan Zhao


Book ID
107471393
Publisher
Springer
Year
2007
Tongue
English
Weight
243 KB
Volume
18
Category
Article
ISSN
1007-662X

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Remote sensing techniques have been seen as valuable and low-cost tools for frequent forest inventory purposes. However, estimation errors of relevant forest structure variables remain too high for operational use of high spatial resolution satellite imagery, such as Landsat TM/ETM and SPOT HRV, in