Smallholder fields crop type mapping based on satellite imagery
Piloted, with some study limitations identified that need to be addressed in future.
| Main Author: | |
|---|---|
| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/122634 |
Similar Items: Smallholder fields crop type mapping based on satellite imagery
- Satellite imagery as an alternative to collect data through surveys
- CIAT-developed machine learning technology identifies agroforestry crops and other land cover types using publicly available (free) satellite imagery.
- A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine
- Cropping systems mapping through high resolution imagery
- Using Sentinel-1, Sentinel-2, and planet imagery to map crop type of smallholder farms
- High-resolution global map of smallholder and industrial closed-canopy oil palm plantations