A5077178029- Atmospheric and Environmental Gas Dynamics
- Atmospheric aerosols and clouds
- Remote Sensing in Agriculture
- Spacecraft Design and Technology
- Land Use and Ecosystem Services
- Satellite Communication Systems
- Solar Radiation and Photovoltaics
- Climate variability and models
- Space Satellite Systems and Control
- Meteorological Phenomena and Simulations
- Explainable Artificial Intelligence (XAI)
- Data Analysis with R
- Atmospheric chemistry and aerosols
- Remote Sensing and Land Use
- Nuclear Physics and Applications
- Air Quality Monitoring and Forecasting
- Energy Load and Power Forecasting
- Nuclear reactor physics and engineering
- Climate change and permafrost
- Radiation Detection and Scintillator Technologies
- Remote Sensing and LiDAR Applications
University of Maryland, College Park
2020-2021
Goddard Space Flight Center
2021
United Kingdom Atomic Energy Authority
2003
Surface downward shortwave radiation (DSR) and photosynthetically active (PAR), its visible component, are key parameters needed for many land process models terrestrial applications. Most existing DSR PAR products were developed climate studies therefore have coarse spatial resolutions, which cannot satisfy the requirements of This paper introduces a new global high-resolution product (MCD18A1) (MCD18A2) over surfaces using MODIS data. The current version is Collection 6.0 at resolution 5...
Crop yield monitoring is an important component in agricultural assessment. Multi-spectral remote sensing instruments onboard space-borne platforms such as Advanced Very High Resolution Radiometer (AVHRR), Moderate Imaging Spectroradiometer (MODIS), and Visible Infrared Suite (VIIRS) have shown to be useful for efficiently generating timely synoptic information on the status of crops across regional levels. However, coarse spatial resolution data inherent these sensors provides little...
Satellite-derived estimates of downward surface shortwave radiation (SSR) and photosynthetically active (PAR) are a part the budget, an essential climate variable (ECV) required by vegetation models. Ground measurements insufficient for generating long-term, global radiation, primarily due to spatial limitations; however, remotely sensed Earth observations offer freely available, multi-day, coverage radiance that can be used derive SSR PAR estimates. generated computing radiative transfer...
Disturbances to the climate system, both natural and anthropogenic, have far reaching impacts that are not always easy identify or quantify using traditional science analyses causal modeling techniques. In this paper, we develop a novel technique for discovering ranking chain of spatio-temporal downstream source, referred herein as source-impact pathway, Random Forest Regression (RFR) SHapley Additive exPlanation (SHAP) feature importances. Rather than utilizing RFR classification regression...
In this work, we focus on exploring very high spatial resolution (1-3 m) satellite imagery for capturing crop yield variability at field scale. In-field yields of soybean and corn were collected in Iowa, USA, correlated with multi-spectral data acquired by WorldView-3 (at 1.25 PlanetScope (Dove-Classic) 3 m). Results show that the most important spectral bands explaining are green/yellow, red edge NIR. High temporal frequency Planet allowed identification best suitable date assessment:...
The UKAEA owns and operates a suite of cells designed to process repackage Remote Handleable Intermediate Level Waste (RH-ILW) at the Harwell site in UK. Cans RH-ILW are retrieved assayed using Non Destructive Assay (NDA) prior repackaging Nirex approved drums for interim above — ground storage, eventual disposal national repository. NDA system comprises combined passive/active neutron interrogator (NI) also gamma spectrometer (GS). results used conjunction with an expert aid reconciliation...