Autor: Gieseke, F.
Autor: Gonzalez, D.M.
Ejemplares similares: Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
- Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia
- Remote sensing of land use and carbon losses following tropical deforestation
- Land use patterns and related carbon losses following deforestation in South America
- Characterizing Forest Change Using Community-Based Monitoring Data and Landsat Time Series
- Tracking disturbance-regrowth dynamics in tropical forests using structural change detection and Landsat time series
- Drivers of deforestation and forest degradation: A synthesis report for REDD+ policymakers