Modeling Community-Scale Natural Resource Use in aTransboundary Southern African Landscape: IntegratingRemote Sensing and Participatory Mapping

• Published in: Remote sensing (Basel, Switzerland) Vol. 13; no. 4; p. 631
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 02.02.2021
• Subjects: Classification; Community; Forest products; Grazing; Grazing intensity; Households; Land use; Landsat; Landsat satellites; Landscape; Livestock; Machine learning; Mapping; Model accuracy; Modelling; Natural resources; Non-timber forest resources; Pixels; Population; Remote sensing; Rural areas; Rural land use; Seasons; Spatial discrimination; Spatial resolution; Spectral signatures; Timber; Variables; Vegetation; Africa

Remote sensing analyses focused on non-timber forest product (NTFP) collection and grazing are current research priorities of land systems science. However, mapping these particular land use patterns in rural heterogeneous landscapes is challenging because their potential signatures on the landscape...