Ejemplares similares: Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery
- Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery
- Digital soil mapping of metals and metalloids in croplands using multiple geospatial data and machine learning, implemented in GEE, for the Peruvian Mantaro Valley
- Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration
- Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in west Africa
- Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands
- Nowcasting food insecurity interest with google trends data
Autor: Pizarro Carcausto, Samuel Edwin
- Water storage–discharge relationship with water quality parameters of Carhuacocha and Vichecocha lagoons in the Peruvian puna highlands
- Ecological and carcinogenic risk assessment of potentially toxic elements in rangelands and croplands around Lake Junin (Peru): Integrating remote sensing, machine learning, and land cover segmentation
- Ecological and Human Health Risk Assessment of Heavy Metals in Mining-Affected River Sediments in the Peruvian Central Highlands
- Comprehensive spatial mapping of metals and metalloids in the Peruvian Mantaro Valley using advanced geospatial data Integration
- Ensemble machine learning for digital mapping of soil pH and electrical conductivity in the Andean agroecosystem of Peru
- Study of ecosystem degradation dynamics in the Peruvian Highlands: Landsat time-series trend analysis (1985–2022) with ARVI for different vegetation cover types