research
∙
12/13/2022
In-Season Crop Progress in Unsurveyed Regions using Networks Trained on Synthetic Data
Many commodity crops have growth stages during which they are particular...
share
research
∙
07/04/2021
PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis
Desktop GIS applications, such as ArcGIS and QGIS, provide tools essenti...
research
∙
06/24/2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
Advanced machine learning techniques have been used in remote sensing (R...
research
∙
01/21/2016
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning
A novel algorithm is developed to downscale soil moisture (SM), obtained...
research
∙
01/20/2016
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines
In this study, a machine learning algorithm is used for disaggregation o...
research
∙
01/30/2015
Downscaling Microwave Brightness Temperatures Using Self Regularized Regressive Models
A novel algorithm is proposed to downscale microwave brightness temperat...
research
∙
01/30/2015
