Leveraging local knowledge and satellite data for highly accurate tree-crops mapping
As the global community intensifies efforts to combat deforestation, meet net-zero carbon goals, and adhere to stringent certification standards, agro-industries find themselves under increasing pressure to demonstrate sustainable practices. The European Union Deforestation-Free Regulation (EUDR) ad...
| Main Author: | |
|---|---|
| Format: | Ponencia |
| Language: | Inglés |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/135993 |
Similar Items: Leveraging local knowledge and satellite data for highly accurate tree-crops mapping
- Terra-i+ - Leverage local knowledge and satellite data to perform high-precision mapping of agroforestry systems
- Smallholder fields crop type mapping based on satellite imagery
- Satellite imagery as an alternative to collect data through surveys
- Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
- Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data.
- A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine
