National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey
Reliable and timely information on agricultural production is essential for ensuring world food security. Freely available medium-resolution satellite data (e.g. Landsat, Sentinel) offer the possibility of improved global agriculture monitoring. Here we develop and test a method for estimating in-se...
| Autores principales: | , , , , , , , , , |
|---|---|
| Formato: | info:eu-repo/semantics/article |
| Lenguaje: | Inglés |
| Publicado: |
2017
|
| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/840 http://www.sciencedirect.com/science/article/pii/S0034425717300081?via%3Dihub https://doi.org/10.1016/j.rse.2017.01.008 |
Ejemplares similares: National-scale soybean mapping and area estimation in the United States using medium resolution satellite imagery and field survey
- A multi-resolution approach to national-scale cultivated area estimation of soybean
- Mid-Season High-Resolution Satellite Imagery for Forecasting Site-Specific Corn Yield
- Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery
- Mapping soil organic carbon content in Patagonian forests based on climate, topography and vegetation metrics from satellite imagery
- Assessment of the spatial variability in tall wheatgrass forage using LANDSAT 8 satellite imagery to delineate potential management zones
- Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard
