A5100409139- Urban Heat Island Mitigation
- Climate change and permafrost
- Cryospheric studies and observations
- Atmospheric aerosols and clouds
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Fire effects on ecosystems
- Atmospheric and Environmental Gas Dynamics
- Data Analysis with R
- Algebraic structures and combinatorial models
- Remote Sensing and LiDAR Applications
- Advanced Operator Algebra Research
- Radiomics and Machine Learning in Medical Imaging
- Oceanographic and Atmospheric Processes
- Peatlands and Wetlands Ecology
- Water Quality Monitoring Technologies
- Photovoltaic System Optimization Techniques
- Infrared Target Detection Methodologies
- Remote-Sensing Image Classification
- Computational Physics and Python Applications
- Plant Water Relations and Carbon Dynamics
- Rangeland and Wildlife Management
- Automated Road and Building Extraction
- Species Distribution and Climate Change
University of Maryland, College Park
2018-2025
Airport Shunyi District Hospital
2024
Earth System Science Interdisciplinary Center
2018-2023
Kunming University of Science and Technology
2023
Goddard Space Flight Center
2018
Abstract. Land surface temperature (LST) plays a dominant role in the energy budget (SEB) and hydrological cycling. Thermal infrared (TIR) remote sensing is primary method of estimating LST globally. However, cloud cover leaves numerous data gaps satellite products, which seriously restricts their applications. Efforts have been made to produce gap-free products from polar-orbiting satellites (e.g., Terra Aqua); however, limited overpasses are not suitable for characterizing diurnal cycle...
Abstract. Timely and accurate monitoring of disruptions to the electricity grid, including magnitude, spatial extent, timing, duration net power losses, is needed improve situational awareness disaster response long-term recovery efforts. Satellite-derived Nighttime Lights (NTL) provide an indication human activity patterns have been successfully used monitor disaster-related outages. The global 500 m resolution National Aeronautics Space Administration (NASA) Black Marble NTL daily standard...
This study analyzed coastal water quality at selected regional validation sites such as the Gulf of Mexico and Florida Bay using VIIRS, PACE/OCI, JPL EMIT observations. The goal was to evaluate capability these sensors in monitoring along coast lakes, well ability detect cyanobacteria satellite ground data. First, several key variables from PACE/OCI level 2 ocean color products, Inherent Optical Properties (IOP) Apparent (AOP) over region interest were see correlations for clarity,...
The intensified thermal environment in suburban areas is raising wide concerns for human society and public health due to rapid urbanization. Although the satellite-derived surface urban heat island intensity (SUHII) a commonly used indicator, it still needs be determined SUHII between challenges delineating their boundaries with changes. Thus, comprehensive analysis of spatial explanatory variables (SEVs) among highly needed. Here, using long-term satellite observations, we analyzed...
The land surface albedo product of visible infrared imaging radiometer suite (VIIRS) in National Oceanic and Atmospheric Administration (NOAA)'s operational system provides real-time, global daily mean albedo, which is a required parameter the estimation shortwave net radiation budget. gridded VIIRS derived from level-2 granule product, generated using Direct Estimation Method. Special gridding compositing algorithms were developed for aggregating granular data into product. This paper...
Ecosystem services, such as carbon sequestration, biodiversity, and climate regulation, play essential roles in combating change. Projection of ecosystem dynamics under various scenarios is critical understanding potential impacts informing policies mitigation strategies. Demography (ED) model a major mechanistic for projection, but its computational cost has been bottleneck performing large-scale (e.g., global, national) projections at very high spatial resolution. We aim to approximate the...
Abstract. Land surface temperature (LST) plays a dominant role in the energy budget (SEB) and hydrological cycling. Thermal infrared (TIR) remote sensing is primary method of estimating LST globally. However, cloud cover leaves numerous data gaps satellite products, which seriously restricts their applications. Efforts have been made to produce gap-free products from polar-orbiting satellites (e.g., Terra Aqua); however, limited overpasses are not suitable for characterizing diurnal cycle...
Fairness-awareness has emerged as an essential building block for the responsible use of artificial intelligence in real applications. In many cases, inequity performance is due to change distribution over different regions. While techniques have been developed improve transferability fairness, a solution problem not always feasible with no samples from new regions, which bottleneck pure data-driven attempts. Fortunately, physics-based mechanistic models studied problems major social...
The ${\rm SL}_n$-skein algebra of a punctured surface $\mathfrak{S}$, studied by Sikora, is an generated isotopy classes $n$-webs living in the thickened $\mathfrak{S} \times (-1,1)$, where $n$-web union framed links and oriented $n$-valent graphs satisfying certain conditions. For each ideal triangulation $\lambda$ L\^e Yu constructed homomorphism, called SL}_n$-quantum trace, from $\mathfrak{S}$ to so-called balanced subalgebra $n$-root version Fock Goncharov's quantum torus associated...
Airborne LiDAR point clouds record three-dimensional structures of ground surfaces with high precision, and have been widely used to identify geospatial objects, facilitating the understanding distribution changing dynamics environment. Detection can be complicated by complex objects noises in clouds. Related work has explored use deep learning techniques such as YOLO detecting (e.g., building footprints) on both optical imagery However, networks are data hungry there often limited labeled...