A5014897261- Cryospheric studies and observations
- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Soil Carbon and Nitrogen Dynamics
- Climate change impacts on agriculture
- Arctic and Antarctic ice dynamics
- Urban Heat Island Mitigation
- Soil erosion and sediment transport
- Statistical Methods and Inference
- Climate variability and models
- Plant responses to elevated CO2
- Fire effects on ecosystems
- Peatlands and Wetlands Ecology
- Species Distribution and Climate Change
- Forest Insect Ecology and Management
- Soil and Water Nutrient Dynamics
- Forest Ecology and Biodiversity Studies
- Simulation and Modeling Applications
- Hydropower, Displacement, Environmental Impact
- Forecasting Techniques and Applications
- Forest Management and Policy
- Leaf Properties and Growth Measurement
The Ohio State University
2017-2024
University of Illinois Urbana-Champaign
2002-2024
State Key Laboratory of Remote Sensing Science
2016-2018
Institute of Remote Sensing and Digital Earth
2016-2018
Chinese Academy of Sciences
2016-2018
University of Chinese Academy of Sciences
2016
Cover crops have been reported as one of the most effective practices to increase soil organic carbon (SOC) for agroecosystems. Impacts cover on SOC change vary depending properties, climate, and management practices, but it remains unclear how these control factors affect benefits from crops, well which can maximize benefits. To address questions, we used an advanced process-based agroecosystem model, ecosys, assess impacts winter cropping accumulation under different environmental...
Abstract The objective of this study is to investigate how the complementarity between microwave and thermal infrared remote sensing can be exploited for a high‐resolution near‐surface freeze/thaw state estimation. basic idea establish feasible relationship microwave‐derived observations. A quantitative index from observations at 18.7 36.5 GHz innovatively defined assumed linearly correlated with land surface temperature Thus, linear regression method proposed verified effective over...
Snow water equivalent (SWE) is a key parameter in the Earth’s energy budget and cycle. It has been demonstrated that SWE can be retrieved using active microwave remote sensing from space. This necessitates development of forward models are capable simulating interactions microwaves snow medium. Several proposed have described as collection sphere- or ellipsoid-shaped ice particles embedded air, while microstructure is, reality, more complex. Natural usually forms sintered structure following...
Long term and consistent records of near-surface soil freeze/thaw (F/T) status are required for understanding hydrological, ecological, biogeochemical responses land surface to global warming. To create such a record, we compiled inter-calibrated satellite observations from the Advanced Microwave Scanning Radiometer – Earth Observing System (AMSR-E) its successor, AMSR2, using linear regression models, then applied discriminant algorithm calibrated map F/T 2002 2018. The new dataset was...
Transition of freeze/thaw (F/T) affects land-atmospheric interactions and other biospheric dynamics. Global F/T statuses are normally monitored using microwave remote sensing, but at coarse resolutions (e.g., 25 km). Integration sensing data with finer satellite products represents an opportunity to further enhance our ability map regionally globally. Here, we implemented tested approach generate daily status maps a 5-km spatial resolution through the fusion passive from AMSR2 land surface...
Abstract Hydropower in the Brazilian Amazon is a prevalent form of development, but dams have widespread and long-term environmental impacts that include deforestation areas surrounding dams. Small hydropower plants (SHPs) are often perceived as having reduced compared to large ones. In Brazil, SHPs licensed by state governments, which less strict requirements than federal agency. Brazil’s definition ‘small’ has grown with successive increases maximum installed capacity from 10 30 50...
The near-surface soil freeze–thaw (FT) transition is an important factor affecting land-atmosphere exchanges, hydrology and carbon cycles. Thus, effectively monitoring the temporal–spatial changes of FT processes crucial to climate change environment research. Several approaches have been developed detect state from satellite observations. discriminant function algorithm (DFA) uses temperature emissivity information Advanced Microwave Scanning Radiometer Enhanced (AMSR-E) passive microwave...
Abstract Probabilistic modelling of gaps for light–canopy interactions has long served as a theoretical basis to estimate vegetation structural parameters—leaf area index (LAI) and leaf angle distribution (LAD)—from optical measurements such hemispherical photos. Direct inversion probabilistic models provides reliable statistical algorithm parameter estimation, but this inferential paradigm been seldom explored. Even worse, many classical LAI algorithms implicitly assume “wrong” inconsistent...
Abstract. Monitoring near-surface soil freeze/thaw patterns is becoming essential under the context of global changes as it more sensitive to climatic fluctuation compared with subsurface thermal characteristics and its evolution could be an early warning in permafrost. It requires continuous long term stable data record for understanding hydrological, ecological biogeochemical responses permafrost climate change. AMSR2 (Advanced Microwave Scanning Radiometer 2) designed a successor AMSR-E –...
Vegetation indices are widely used to derive land surface phenology (LSP). However, due inconsistent illumination geometries, reflectance varies with solar zenith angles (SZA), which in turn affects the vegetation indices, and thus derived LSP. To examine SZA effect on LSP, MODIS bidirectional distribution function (BRDF) product a BRDF model were employed LSPs under several constant SZAs (i.e., 0°, 15°, 30°, 45°, 60°) Harvard Forest, Massachusetts, USA. The varying from nadir BRDF-adjusted...
Abstract Cover crops have long been seen as an effective management practice to increase soil organic carbon (SOC) and reduce nitrogen (N) leaching. However, there are large uncertainties in quantifying these ecosystem services using either observation (e.g. field measurement, remote sensing data) or process-based modeling. In this study, we developed implemented a model–data fusion (MDF) framework improve the quantification of cover crop benefits SOC accrual N retention central Illinois by...
Abstract Earlier snowmelt, warmer temperatures and herbivory are among the factors that influence high-latitude tundra productivity near town of Utqiaġvik in northern Alaska. However, our understanding potential interactions between these is limited. MODIS observations provide cover fractions vegetation, snow, standing water, soil, fractional absorption photosynthetically active radiation by canopy chlorophyll (fAPAR chl ) per pixel. Here, we evaluated a recent time-period (2001–2014)...
The effects of a temperature jump at the growth surface in stagnation flow chemical vapor deposition (CVD) reactors are investigated. General process considerations suggest that neglecting slip modeling CVD processes can lead to an over- or under-prediction if significant is present, and either gas-phase reactions gas–surface reaction with large kinetic energy dependence play important roles deposition. Relationships for estimating reviewed, as mechanisms by which influence rate. In...