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Magnus Persson et al.
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Lizhong Hua et al.
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Steven E. Sesnie et al.
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D. Lu et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2007)
Satellite remote sensing of forest resources: three decades of research development
DS Boyd et al.
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W Turner et al.
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