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A New Approach to Extrapolate Forest Attributes from Field Inventory with Satellite and Auxiliary Data Sets
Author(s) -
Shengli Huang,
Carlos Ramírez,
Kama Kennedy,
Jeffrey Mallory
Publication year - 2016
Publication title -
forest science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 77
eISSN - 1938-3738
pISSN - 0015-749X
DOI - 10.5849/forsci.16-028
Subject(s) - forest inventory , mean squared error , field (mathematics) , satellite , environmental science , remote sensing , computer science , statistics , satellite imagery , geographic information system , forest cover , pixel , cartography , mathematics , geography , forest management , ecology , artificial intelligence , agroforestry , engineering , pure mathematics , aerospace engineering , biology

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