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
Autor: Masolele, R.N.
Autor: Sy, Veronique de
- Land Restoration in Latin America and the Caribbean: An Overview of Recent, Ongoing and Planned Restoration Initiatives and Their Potential for Climate Change Mitigation
- Linking community-based and national REDD+ monitoring: a review of the potential
- How countries link REDD+ interventions to drivers in their readiness plans: implications for monitoring systems
- Agriculture-driven deforestation in the tropics from 1990-2015: emissions, trends and uncertainties
- Independent Monitoring: Building trust and consensus around GHG data for increased accountability of mitigation in the land use sector
- Introduction: REDD+ enters its second decade