Autor: Quiróz, R.
- Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
- Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
- Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions
- Challenges to sustainable potato production in a changing climate: A research perspective
- Retos para la produccion sostenible de papas en un clima cambiante: Una perspectiva de investigacion.
- Spatial random downscaling of rainfall signals in Andean heterogeneous terrain
Autor: Posadas, A.
- Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions
- Challenges to sustainable potato production in a changing climate: A research perspective
- Retos para la produccion sostenible de papas en un clima cambiante: Una perspectiva de investigacion.
- Spatial random downscaling of rainfall signals in Andean heterogeneous terrain
- Multifractal downscaling of rainfall using Normalized Difference Vegetation Index (NDVI) in the Andes Plateau
Ejemplares similares: Development of low-cost remote sensing tools and methods for supporting smallholder agriculture
- Field validation of NDVI to identify crop phenological signatures
- Impact of sustainable land management on vegetation cover using remote sensing in Magera micro Watershed, Omo Gibe Basin, Ethiopia
- Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands
- Mapping irrigated and rainfed agriculture in Ethiopia (2015-2016) using remote sensing methods
- Spatial drought occurrences and distribution using VCI, TCI, VHI, and Google Earth Engine in Bilate River Watershed, Rift Valley of Ethiopia
- Data collection and managing of remote sensing data for Urochloa spp. and Megathyrsus maximus breeding pipelines
Ejemplares similares: Remote Sensing and Artificial Intelligence for Soil Organic Carbon Geospatial Modeling
- From Rangelands to Cropland, Land-Use Change and its impact on soil organic carbon variables in a Peruvian Andean Highlands: A Machine Learning Modeling approach
- Overview of artificial intelligence and big data analytics for remote sensing
- Towards spatially continuous mapping of soil organic carbon in croplands using multitemporal Sentinel-2 remote sensing
- From rangelands to cropland, land-use change and its impact on soil organic carbon variables in a Peruvian Andean highlands: a machine learning modeling approach
- Modelling the impacts of organic matter quality on soil carbon turnover and storage
- Remote sensing of soil salinity mapping: status and potential