A5085650840- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Atmospheric and Environmental Gas Dynamics
- Cryospheric studies and observations
- Precipitation Measurement and Analysis
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Geophysics and Gravity Measurements
- Meteorological Phenomena and Simulations
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Remote Sensing and LiDAR Applications
- Methane Hydrates and Related Phenomena
- Hydrology and Drought Analysis
- Soil and Unsaturated Flow
- Arctic and Antarctic ice dynamics
- Forest Biomass Utilization and Management
- Soil Carbon and Nitrogen Dynamics
- Soil Mechanics and Vehicle Dynamics
- Atmospheric Ozone and Climate
- Remote Sensing and Land Use
- Planetary Science and Exploration
- Calibration and Measurement Techniques
- Atmospheric aerosols and clouds
- Hydrology and Watershed Management Studies
British Geological Survey
2021
University of Montana
2011-2020
KU Leuven
2016
Delaware Department of Natural Resources and Environmental Control
1993
University of Arkansas at Fayetteville
1993
Abstract The Soil Moisture Active Passive (SMAP) mission Level-4 Surface and Root-Zone (L4_SM) data product is generated by assimilating SMAP L-band brightness temperature observations into the NASA Catchment land surface model. L4_SM available from 31 March 2015 to present (within 3 days real time) provides 3-hourly, global, 9-km resolution estimates of (0–5 cm) root-zone (0–100 soil moisture conditions. This study presents an overview algorithm, validation approach, assessment versus in...
Abstract. Spaceborne microwave remote sensing is widely used to monitor global environmental changes for understanding hydrological, ecological, and climate processes. A new land parameter data record (LPDR) was generated using similar calibrated, multifrequency brightness temperature (Tb) retrievals from the Advanced Microwave Scanning Radiometer EOS (AMSR-E) 2 (AMSR2). The resulting LPDR provides a long-term (June 2002–December 2015) of key observations at 25 km grid cell resolution,...
The Soil Moisture Active Passive (SMAP) mission Level-4 (L4_SM) product provides 3-hourly, 9-km resolution, global estimates of surface (0-5 cm) and root-zone (0-100 soil moisture related land variables from 31 March 2015 to present with ~2.5day latency. ensemble-based L4_SM algorithm assimilates SMAP brightness temperature (Tb) observations into the Catchment model. This study describes spatially distributed analysis assesses observation-minus-forecast (O-F) Tb residuals increments. Owing...
The National Aeronautics and Space Administration's Soil Moisture Active Passive (SMAP) mission Level 4 Carbon (L4C) product provides model estimates of the Net Ecosystem CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> exchange (NEE) incorporating SMAP soil moisture information. L4C includes NEE, computed as total ecosystem respiration less gross photosynthesis, at a daily time step posted to 9-km global grid by plant functional type....
We present an approach to retrieve daily minimum and maximum 2-m height air temperatures from 18.7, 23.8 GHz H V polarized brightness temperature the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) during snow free season. The accounts, with minimal ancillary data, vertically integrated atmospheric water vapor, variable surface emissivity due open vegetation. Retrieved were evaluated using Northern Hemisphere weather stations independent satellite-based Atmosphere Infrared Sounder...
The development and continuity of consistent long-term data records from similar overlapping satellite observations is critical for global monitoring environmental change assessments. We developed an empirical approach inter-calibration microwave brightness temperature (Tb) over land the Advanced Microwave Scanning Radiometer EOS (AMSR-E) 2 (AMSR2) using Tb Radiation Imager (MWRI). Double Differencing (DD) calculations revealed significant AMSR2 MWRI biases relative to AMSR-E. Pixel-wise...
Abstract The authors evaluated several land surface variables from the Modern-Era Retrospective Analysis for Research and Applications (MERRA) product that are important global ecological hydrological studies, including daily maximum (Tmax) minimum (Tmin) air temperatures, atmosphere vapor pressure deficit (VPD), incident solar radiation (SWrad), soil moisture. MERRA results were against in situ measurements, similar products derived satellite microwave [the Advanced Microwave Scanning...
An approach for deriving atmosphere total precipitable water vapor (PWV) and surface air temperature over land using satellite passive microwave radiometry from the Advanced Microwave Scanning Radiometer 2 (AMSR2) was developed in this study. The PWV algorithm is based on theoretical analysis comparisons against similar retrievals Atmospheric Infrared Sounder (AIRS). AMSR2 compare favorably with AIRS operational products ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
Ecosystem productivity models rely on regional climatic information to estimate temperature and moisture constraints influencing plant growth. However, the response these environmental factors is uncertain at global scale has largely been defined using limited observations from sparse monitoring sites, including carbon flux towers. Recent studies have shown that satellite of Solar-Induced chlorophyll Fluorescence (SIF) are highly correlated with ecosystem Gross Primary Productivity (GPP)....
Accurate mapping of long-term global soil moisture is great importance to earth science studies and a variety applications. An approach for deriving volumetric using satellite passive microwave radiometry from the Advanced Microwave Scanning Radiometer Earth Observing System (AMSR-E) was developed in this study. Unlike major AMSR-E retrieval algorithms that assume fixed scattering albedo values over globe, proposed algorithm adopts weighted averaging strategy estimation based on dynamic...
Regional evapotranspiration (ET), including water loss from plant transpiration and soil evaporation, is essential to understanding interactions between land‐atmosphere surface energy balances. Vapor pressure deficit (VPD) air temperature are key variables for stomatal conductance ET estimation. We developed an algorithm estimate using the Penman‐Monteith approach driven by Moderate Resolution Imaging Spectroradiometer (MODIS)‐derived vegetation data daily meteorological inputs incoming...
Methods are developed and evaluated to retrieve surface soil temperature information for the advanced microwave scanning radiometer on earth observing system seven boreal forest Arctic tundra biophysical monitoring sites across Alaska Northern Canada. A multiple-band iterative radiative transfer process-based method producing dynamic vegetation snow cover correction quantities an empirical multiple regression using several frequencies employed. The seasonal pattern of emission relative...
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Northern ecosystems are a major sink for atmospheric <formula formulatype="inline"><tex Notation="TeX">$\hbox{CO}_{2}$</tex> </formula> and contain much of the world's soil organic carbon (SOC) that is potentially reactive to near-term climate change. We introduce simple terrestrial flux (TCF) model driven by satellite remote sensing inputs from Moderate Resolution Imaging Spectroradiometer...
The rate of vegetation recovery from boreal wildfire influences terrestrial carbon cycle processes and climate feedbacks by affecting the surface energy budget land-atmosphere exchange. Previous forest assessments using satellite optical-infrared normalized difference index (NDVI) tower CO(2) eddy covariance techniques indicate rapid within 5-10 years, but these are not directly sensitive to changes in biomass. Alternatively, optical depth (VOD) parameter passive microwave remote sensing can...
Abstract Warming and changing fire regimes in the northern (≥45°N) latitudes have consequences for land‐atmosphere carbon feedbacks to climate change. A terrestrial flux model integrating satellite Normalized Difference Vegetation Index burned area records with global meteorology data was used quantify daily vegetation gross primary productivity (GPP) net ecosystem CO 2 exchange (NEE) over a pan‐boreal/Arctic domain their sensitivity variability, drought, from 2000 2010. Model validation...
Abstract The Advanced Microwave Scanning Radiometer for the Earth Observing System and 2 sensors (AMSR) have provided multifrequency microwave measurements of global terrestrial water cycle since 2002. A new AMSR surface wetness index (ASWI) was developed by analyzing near‐surface atmospheric vapor pressure deficit (VPD), volumetric soil moisture (VSM), land fractional open (FW) time series from an established Land Parameter Data Record (LPDR). ASWI allows multicomponent independent...