A5100361184- Soil Moisture and Remote Sensing
- Precipitation Measurement and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Climate change and permafrost
- Arctic and Antarctic ice dynamics
- Oceanographic and Atmospheric Processes
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Hydrology and Watershed Management Studies
- Tree Root and Stability Studies
- Smart Agriculture and AI
- Hydrological Forecasting Using AI
- Climate variability and models
- Wind and Air Flow Studies
- Ocean Waves and Remote Sensing
- Geophysics and Gravity Measurements
- Aeolian processes and effects
Suzhou University of Science and Technology
2023
Naval Research Laboratory Remote Sensing Division
2018-2022
United States Naval Research Laboratory
2007-2022
Hunan Xiangdian Test Research Institute (China)
2020
State Grid Hunan Electric Power Company Limited
2020
Jet Propulsion Laboratory
1999
An approach is evaluated for retrieval of land surface parameters (soil moisture, vegetation water content, and temperature) using satellite microwave radiometer data in the 6-18 GHz frequency range. The applicable to that will be acquired by Advanced Microwave Scanning Radiometer (AMSR), planned launch on Japanese Earth Observing Satellite (ADEOS)-II System (EOS) PM-1 platforms 1999 2000, respectively. method based a radiative transfer (RT) model land-surface atmospheric emission, with...
A physically based six-channel land algorithm is developed to simultaneously retrieve global soil moisture (SM), vegetation water content (VWC), and surface temperature. The on maximum-likelihood estimation uses dual-polarization WindSat passive microwave data at 10, 18.7, 37 GHz. retrievals are validated multispatial multitemporal scales against SM climatologies, <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in situ</i> network data,...
Passive microwave (PMW) satellite-based precipitation over land algorithms rely on physical models to define the most appropriate channel combinations use in retrieval, yet typically require considerable empirical adaptation of model for with satellite measurements. Although low-frequency channels are better suited measure emission due liquid associated rain, techniques date high-frequency, scattering-based schemes since methods limited highly variable surface background, whose radiometric...
Two CryoSat-2 sea ice thickness products derived with independent algorithms are used to initialize a coupled ice-ocean modeling system in which series of reanalysis studies performed for the period March 15, 2014–September 30, 2015. Comparisons against moored upward looking sonar, drifting mass balance buoy, and NASA Operation IceBridge data show that exhibits greatly reduced bias using satellite-derived versus operational model run without these data. The initialized skill simulating from...
The joint National Aeronautics and Space Administration Japanese Aerospace Exploration Agency (JAXA) Global Precipitation Measurement (GPM) mission will provide considerably more observations over complex dynamically changing land backgrounds. A physically based precipitation retrieval using GPM's satellite constellation of passive microwave (PMW) has to accommodate the spatially temporally varying radiometric signature surface constrain set candidate rainfall solutions. challenge for...
Climate change and hydrological cycles can critically impact future water resources. Uncertainties in current climate models result disagreement on the amount of Soil moisture vegetation content are key environmental variables evaporation transpiration at land–atmosphere boundary. Radar remote sensing helps to improve our estimate resources spatially temporally. This work proposes a backscattered power formulation for Ku-band. Li et al. (2010) retrieved soil values using Windsat data...
Abstract The microwave land surface emissivity (MLSE) over the continental United States was examined during 2011 as a function of prior rainfall conditions using two independent estimation techniques, one providing instantaneous estimates based on clear-scene principal component (PC) analysis and other physical radiative transfer modeling. Results show that grass, closed shrub, cropland, can cause horizontally polarized 10-GHz brightness temperature (TB) to drop by much 20 K, with...
The Advanced Microwave Scanning Radiometer-EOS (AMSR-E) on Aqua and WindSat Coriolis instruments have collected multichannel passive microwave data over the global land oceans since 2002 2003, respectively. AMSR-E ceased operation in October 2011 due to a malfunction antenna scanning mechanism. similar frequencies, bandwidths, polarizations, incidence angles instantaneous fields of view (IFOVs), but there are some differences their configurations. altitudes local overpass times also differ...
Abstract Twin 5-month seasonal forecast experiments are performed to predict the September 2018 mean and minimum ice extent using fully coupled Navy Earth System Prediction Capability (ESPC). In control run, ensemble forecasts initialized from operational US Global Ocean Forecasting (GOFS) 3.1 but do not assimilate thickness data. Another set of same GOFS fields with sea derived CryoSat-2 (CS2). The ESPC was over-predicted by 0.68 M km 2 (5.27 ) vs CS2 that had an error 0.40 (4.99 ), a 43%...
Microwave remote sensing can provide reliable measurements of surface soil moisture. However, some land conditions have a perturbing influence on moisture retrievals. In the experiments in 2005 (SMEX05), we attempted to contribute understanding effect dew using concurrent ground and aircraft observations. Early morning flights were conducted with an airborne microwave radiometer from June 19 July 2, 2005, Iowa, USA over agricultural domain. Results experiment indicated that had small but...
WindSat provides an opportunity to explore the passive microwave polarimetric signatures of land surfaces. In order accommodate large sensor footprint, homogeneous regions with unique features were used. These included forest, rangeland, desert, and agricultural conditions. observations at horizontal vertical polarizations over surfaces found be well calibrated consistent other sensors. Isotropic (e.g., Amazon rainforest) had no response all azimuth angles. Results showed that aligned...
Estimation of vegetation water content (VWC) by optical remote sensing improves soil moisture retrievals from passive microwave radiometry. For a variety types, the largest unknown for predicting VWC is stem content, which assumed to be allometrically related plant canopy. maize and soybean, measured contents were highly correlated canopy contents, so was calculated directly normalized difference infrared index (NDII), contrasts scattering at near-infrared wavelengths with absorption...
We present the WindSat land algorithm that retrieves global soil moisture and vegetation water content simultaneously using physically-based multi-channel maximum-likelihood estimation. The retrieval results agree well with climatology, in-situ observations, precipitation patterns AVHRR data, potentially satisfying science requirements of 6% under low to moderate conditions.
The wind vector affects a broad range of naval missions, including strategic ship movement and positioning, aircraft carrier operations, deployment, effective weapons use, underway replenishment, littoral operations. Furthermore, accurate data aids in short-term weather forecasting, the issuing timely warnings, gathering general climatological data. WindSat is satellite-based multifrequency polarimetric microwave radiometer developed by Naval Research Laboratory for US Navy National...
WindSat is the first spaceborne fully polarimetric radiometer. It measures all four Stokes components; T<sub>v</sub> (vertically polarized), T<sub>h</sub> (horizontally), U (difference between polarizations at +45° and -45°) V right hand minus left circular polarized) primarily developed to retrieve wind speed direction over ocean. Here we investigate observations Dome C, Antarctica, consisting of nearly flat terrain about 3200 m above sea level. The seasonal cycles reflect surface...
WindSat provides an opportunity to explore what new information about the land surface can be obtained from passive polarimetric microwave measurements. Large and homogeneous regions were identified that represented unique features. These included forest, rangeland, desert agriculture conditions. observations over surfaces found well calibrated consistent with other sensors. Initial results showed aligned features (topography or row structured vegetation) produced systematic variations in 3...
The rough surfaces in Greenland are exhibited as sastrugi. roughness heights less than 8 cm for much of the year except late winter and spring, when they increase to 25 or less. Roughness profiles were also related snow firn ventilation. WindSat, launched January 2003, was first spaceborne polarimetric radiometer measure all 4 elements Stokes vector, viz., vertical polarized brightness temperatures, horizontal real imaginary part cross-correlations polarizations. It shown by Tsang (1984,...
The impact of topography on satellite passive microwave data hinders the soil moisture retrievals over mountainous regions. Current two-scale facet statistical emission models for ocean-like rough surfaces and terrain use a 2-D slope distribution which is not explicitly linked to small-scale scattering. We have developed modified polarimetric model in sensor coordinates that decomposes total into two statistically independent components, incidence angle tilt polarization orientation, are...
This paper extends the application of an existing change-detection-based, time-series soil moisture retrieval algorithm to non-concurrent active and passive measurements from WindSat/AMSR2 Soil Moisture Active Passive radar, which was late April until mid-July on 2015. A L-band radar backscatter observations used populate under-determined matrix equation whose optimal solution derived via a bounded linear least squares estimator, bounds were radiometer-derived estimates (taken by either...
Future water resources are a critical societal impact of climate change and hydrological cycles. Current models uncertainties result in disagreement on the amount water. Soil moisture vegetation content key environmental variables evaporation transpiration at land-atmosphere boundary. Radar remote sensing helps to improve our estimate spatially temporally. SMAP (Soil Moisture Active Passive) SWOT (Surface Water Ocean Topography) two future NASA missions monitor their variations L-band...
Abstract In terrestrial remote sensing applications, the spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) has demonstrated its worth. The application to land surface soil moisture (SSM) detection is particularly intriguing since it ability provide fine-scale results supplement traditional satellite-based active and passive missions. To date, many retrieval algorithms for GNSS-R have been developed in order produce SSM products. However, detailed product reliability...