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Published in 2021:
Published in 2021:
Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing. PLoS One, v. 16, p. e0245834, 2021.
Reference evapotranspiration of Brazil modeled with machine learning techniques and remote sensing. PLoS One, v. 16, p. e0245834, 2021.
Surface reflectance calculation and predictive models of biophysical parameters of maize crop from RG-NIR sensor on board a UAV. Precision Agriculture (Online), p. 1-24, 2021.
Surface reflectance calculation and predictive models of biophysical parameters of maize crop from RG-NIR sensor on board a UAV. Precision Agriculture (Online), p. 1-24, 2021.
Evapotranspiration mapping of commercial corn fields in Brazil using SAFER algorithm. Scientia Agricola, v. 78, p. 1-12, 2021.
Evapotranspiration mapping of commercial corn fields in Brazil using SAFER algorithm. Scientia Agricola, v. 78, p. 1-12, 2021.
Published in 2020:
Published in 2020:
Performance of SAFER evapotranspiration using missing meteorological data. Agricultural Water Management, v. 233, p. 106076, 2020.
Performance of SAFER evapotranspiration using missing meteorological data. Agricultural Water Management, v. 233, p. 106076, 2020.
Remote sensing as a tool to determine biophysical parameters of irrigated seed corn crop. Semina. CIÊNCIAS AGRÁRIAS (ONLINE), v. 41, p. 435-446, 2020.
Remote sensing as a tool to determine biophysical parameters of irrigated seed corn crop. Semina. CIÊNCIAS AGRÁRIAS (ONLINE), v. 41, p. 435-446, 2020.
Fusion of MODIS and Landsat-Like Images for Daily High Spatial Resolution NDVI. Remote Sensing, v. 12, p. 1297, 2020.
Fusion of MODIS and Landsat-Like Images for Daily High Spatial Resolution NDVI. Remote Sensing, v. 12, p. 1297, 2020.
Estimating Small Reservoir Evaporation Using Machine Learning Models for the Brazilian Savannah. Journal of Hydrologic Engineering, v. 25, p. 05020019-05020019-11, 2020.
Estimating Small Reservoir Evaporation Using Machine Learning Models for the Brazilian Savannah. Journal of Hydrologic Engineering, v. 25, p. 05020019-05020019-11, 2020.
Soil water content and actual evapotranspiration predictions using regression algorithms and remote sensing data. Agricultural Water Management, v. 241, p. 106346, 2020.
Soil water content and actual evapotranspiration predictions using regression algorithms and remote sensing data. Agricultural Water Management, v. 241, p. 106346, 2020.
Irrigation frequency and vermiculite proportion in substrate for Eucalyptus grandis seedling. Semina-Ciencias Agrarias, v. 41, p. 1495-1506, 2020.
Irrigation frequency and vermiculite proportion in substrate for Eucalyptus grandis seedling. Semina-Ciencias Agrarias, v. 41, p. 1495-1506, 2020.
Mapping of corn phenological stages using NDVI from OLI and MODIS sensors. Semina-Ciencias Agrarias, v. 41, p. 1517-1534, 2020.
Mapping of corn phenological stages using NDVI from OLI and MODIS sensors. Semina-Ciencias Agrarias, v. 41, p. 1517-1534, 2020.
Alternative low-cost precipitation kit for assessing irrigation systems. Semina-Ciencias Agrarias, v. 41, p. 1783-1798, 2020.
Alternative low-cost precipitation kit for assessing irrigation systems. Semina-Ciencias Agrarias, v. 41, p. 1783-1798, 2020.
ETo-Brazil: A daily gridded reference evapotranspiration dataset for Brazil (2000 - 2018). Water Resources Research, v. 56, p. 1-16, 2020.
ETo-Brazil: A daily gridded reference evapotranspiration dataset for Brazil (2000 - 2018). Water Resources Research, v. 56, p. 1-16, 2020.
Vegetation indices for irrigated corn monitoring. Eng Agr-Jaboticabal, v. 40, p. 322-333, 2020.
Vegetation indices for irrigated corn monitoring. Eng Agr-Jaboticabal, v. 40, p. 322-333, 2020.
Mapping within-field variability of soybean evapotranspiration and crop coefficient using the Earth Engine Evaporation Flux (EEFlux) application. PLoS One, v. 15, p. e0235620, 2020.
Mapping within-field variability of soybean evapotranspiration and crop coefficient using the Earth Engine Evaporation Flux (EEFlux) application. PLoS One, v. 15, p. e0235620, 2020.
Estimating water loss in an environmental protection area - Minas Gerais, southeast Brazil. Caderno de Geografia, v. 30, p. 768-787, 2020.
Estimating water loss in an environmental protection area - Minas Gerais, southeast Brazil. Caderno de Geografia, v. 30, p. 768-787, 2020.
Potential of using spectral vegetation indices for corn green biomass estimation based on their relationship with the photosynthetic vegetation sub-pixel fraction. Agricultural Water Management, v. 236, p. 106155, 2020.
Potential of using spectral vegetation indices for corn green biomass estimation based on their relationship with the photosynthetic vegetation sub-pixel fraction. Agricultural Water Management, v. 236, p. 106155, 2020.
Actual Evapotranspiration and Biomass of Maize from a Red-Green-Near-Infrared (RGNIR) Sensor on Board an Unmanned Aerial Vehicle (UAV). Water, v. 12, p. 2359, 2020.
Actual Evapotranspiration and Biomass of Maize from a Red-Green-Near-Infrared (RGNIR) Sensor on Board an Unmanned Aerial Vehicle (UAV). Water, v. 12, p. 2359, 2020.
Performance evaluation of numerical and machine learning methods in estimating reference evapotranspiration in a Brazilian agricultural frontier. Theoretical and Applied Climatology, v. -, p. ---, 2020.
Performance evaluation of numerical and machine learning methods in estimating reference evapotranspiration in a Brazilian agricultural frontier. Theoretical and Applied Climatology, v. -, p. ---, 2020.
Water stress coefficient determined by orbital remote sensing techniques. Revista Brasileira de Engenharia Agricola e Ambiental, v. 24, p. 847-853, 2020.
Water stress coefficient determined by orbital remote sensing techniques. Revista Brasileira de Engenharia Agricola e Ambiental, v. 24, p. 847-853, 2020.
Impact of drought associated with high temperatures on Coffea canephora plantations: a case study in Espírito Santo State, Brazil. Scientific Reports, v. 10, p. 19719-19719-21, 2020.
Impact of drought associated with high temperatures on Coffea canephora plantations: a case study in Espírito Santo State, Brazil. Scientific Reports, v. 10, p. 19719-19719-21, 2020.
Irrigation frequencies for Eucalyptus grandis Seedlings. Engenharia na Agricultura, v. 28, p. 364-374, 2020.
Irrigation frequencies for Eucalyptus grandis Seedlings. Engenharia na Agricultura, v. 28, p. 364-374, 2020.
Optimizing the Monitoring of Natural Phenomena through the Coupling of Orbital Multi-Sensors. Geo UERJ (2007), v. 37, p. 1-21, 2020.
Optimizing the Monitoring of Natural Phenomena through the Coupling of Orbital Multi-Sensors. Geo UERJ (2007), v. 37, p. 1-21, 2020.
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