Dehesa environment mapping with transference of a Random Forest classifier to neighboring ultra-high spatial resolution imagery at class and macro-class land cover levels
Accurate vegetation cover maps of forested areas are crucial for ecosystems monitoring, as well as for management of water balance, flood and fire risk, and other forest-associated resources. With this regard, remote sensing techniques have been used for land cover mapping worldwide. Here, we propos...
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Veröffentlicht in: | Stochastic environmental research and risk assessment 2020-12, Vol.34 (12), p.2179-2210 |
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