Ejemplares similares: Estimate crop type distribution in South Africa using Google Earth Engine cloud computing
- Automated cropland mapping of continental Africa using Google Earth Engine cloud computing
- Cloud-based crop type mapping for Nandi County, Kenya
- Scrutinizing Urbanization in Kathmandu Using Google Earth Engine Together with Proximity-Based Scenario Modelling
- Capacitación en monitoreo espacio-temporal de la erosión hídrica usando Google Earth engine.
- Spatial drought occurrences and distribution using VCI, TCI, VHI, and Google Earth Engine in Bilate River Watershed, Rift Valley of Ethiopia
- Global land reform experiences: A review for South Africa
Autor: Guo, Zhe
- What is the irrigation potential for Africa? A combined biophysical and socioeconomic approach
- Atlas of african agriculture research and development [Preview]: Revealing agriculture's place in Africa
- Deforestation and smallholder income: Evidence from remittances to Nepal
- Trends and patterns of land use change and international aid in sub-Saharan Africa
- Accessing international markets: Ports and portsheds
- Measuring above-ground carbon stock using spatial analysis and the InVEST model: Application in the Thoria Watershed, India