18 citations · 21 across the 9 of their papers we have counts for
9 papers
A 3-D Full-Wave Model to Study the Impact of Soybean Components and Structure on L-Band Backscatter
Kaiser Niknam, Jasmeet Judge, A. Kaleo Roberts +4
Microwave remote sensing offers a powerful tool for monitoring the growth of short, dense vegetation like soybean. As the plants mature, changes in their biomass and 3-D structure…
Gap-free 16-year (2005-2020) sub-diurnal surface meteorological observations across Florida
Julie Peeling, Jasmeet Judge, Vasubandhu Misra +2
The rather unique sub-tropical, flat, peninsular region of Florida is subject to a unique climate with extreme weather events across the year that impacts agriculture, public healt…
In-Season Crop Progress in Unsurveyed Regions using Networks Trained on Synthetic Data
George Worrall, Jasmeet Judge
Many commodity crops have growth stages during which they are particularly vulnerable to stress-induced yield loss. In-season crop progress information is useful for quantifying cr…
PyLUSAT: An open-source Python toolkit for GIS-based land use suitability analysis
Changjie Chen, Jasmeet Judge, David Hulse
Desktop GIS applications, such as ArcGIS and QGIS, provide tools essential for conducting suitability analysis, an activity that is central in formulating a land-use plan. But, whe…
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
George Worrall, Anand Rangarajan, Jasmeet Judge
Advanced machine learning techniques have been used in remote sensing (RS) applications such as crop mapping and yield prediction, but remain under-utilized for tracking crop progr…
Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines
Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge +2
In this study, a machine learning algorithm is used for disaggregation of SMAP brightness temperatures (T) from 36km to 9km. It uses image segmentation to cluster th…
Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning
Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni +2
A novel algorithm is developed to downscale soil moisture (SM), obtained at satellite scales of 10-40 km by utilizing its temporal correlations to historical auxiliary data at fine…
Downscaling Microwave Brightness Temperatures Using Self Regularized Regressive Models
Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan +1
A novel algorithm is proposed to downscale microwave brightness temperatures (), at scales of 10-40 km such as those from the Soil Moisture Active Passive mission to…
Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models
Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan +1
In this study, a novel machine learning algorithm is presented for disaggregation of satellite soil moisture (SM) based on self-regularized regressive models (SRRM) using high-reso…