Retrieving forest structure variables ba
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F. Kayitakire; C. Hamel; P. Defourny
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Article
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2006
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Elsevier Science
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English
⚖ 367 KB
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