A5037183827- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Cryospheric studies and observations
- Meteorological Phenomena and Simulations
- Climate variability and models
- Hydrology and Watershed Management Studies
- Precipitation Measurement and Analysis
- Urban Heat Island Mitigation
- Remote Sensing in Agriculture
- Soil and Unsaturated Flow
- Geophysics and Gravity Measurements
- Remote Sensing and Land Use
- Atmospheric and Environmental Gas Dynamics
- Environmental and Agricultural Sciences
- Remote Sensing and LiDAR Applications
- Solar Radiation and Photovoltaics
- Flood Risk Assessment and Management
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Hydrology and Drought Analysis
- Soil erosion and sediment transport
- Atmospheric aerosols and clouds
- Oceanographic and Atmospheric Processes
- Landslides and related hazards
- Water resources management and optimization
University of Twente
2016-2025
Tiangong University
2025
Xi'an Jiaotong University
2024-2025
Guilin University of Technology
2025
Northwest A&F University
2025
Ningbo University
2025
Institute of Food Science & Technology
2025
China Southern Power Grid (China)
2024
Chang'an University
2019-2024
Guangxi University
2024
Abstract. A Surface Energy Balance System (SEBS) is proposed for the estimation of atmospheric turbulent fluxes and evaporative fraction using satellite earth observation data, in combination with meteorological information at proper scales. SEBS consists of: a set tools determination land surface physical parameters, such as albedo, emissivity, temperature, vegetation coverage etc., from spectral reflectance radiance measurements; model roughness length heat transfer; new formulation on...
Abstract The Third Pole (TP) is experiencing rapid warming and currently in its warmest period the past 2,000 years. This paper reviews latest development multidisciplinary TP research associated with this warming. facilitates intense broad glacier melt over most of TP, although some glaciers northwest are advancing. By heating atmosphere reducing snow/ice albedo, aerosols also contribute to melting. Glacier accompanied by lake expansion intensification water cycle TP. Precipitation has...
Abstract. This paper presents the model SCOPE (Soil Canopy Observation, Photochemistry and Energy fluxes), which is a vertical (1-D) integrated radiative transfer energy balance model. The links visible to thermal infrared radiance spectra (0.4 50 μm) as observed above canopy fluxes of water, heat carbon dioxide, function vegetation structure, profiles temperature. Output spectrum outgoing radiation in viewing direction turbulent fluxes, photosynthesis chlorophyll fluorescence. A special...
Environmental monitoring plays a central role in diagnosing climate and management impacts on natural agricultural systems; enhancing the understanding of hydrological processes; optimizing allocation distribution water resources; assessing, forecasting, even preventing disasters. Nowadays, most data collection systems are based upon combination ground-based measurements, manned airborne sensors, satellite observations. These utilized describing both small- large-scale processes, but have...
Abstract. A plateau scale soil moisture and temperature observatory is established on the Tibetan Plateau for quantifying uncertainties in coarse resolution satellite model products of temperature. The (Tibet-Obs) consists three regional in-situ reference networks, including Naqu network a cold semiarid climate, Maqu humid climate Ngari arid climate. These networks provide representative coverage different land surface hydrometeorological conditions plateau. In this paper details Tibet-Obs...
Foliage and soil temperatures are key variables for assessing the exchanges of turbulent heat fluxes between vegetated land atmosphere. Using multiple-view-angle thermal-infrared (TIR) observations, vegetation may be retrieved. However, particularly sparsely areas, component in sun shade very different depending on solar radiation, physical properties surface, meteorological conditions. This interfere with a correct retrieval temperatures, but it might also yield extra information related to...
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. In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort, funded by European Space Agency, to serve centralised data hosting facility for globally available in situ soil moisture measurements (Dorigo et al., 2011b, a). The ISMN brings together collected and freely shared multitude of organisations, harmonises them terms units sampling rates, applies advanced quality control, stores database. Users can retrieve from this database through an online...
Environmental monitoring plays a central role in diagnosing climate and management impacts on natural agricultural systems, enhancing the understanding hydrological processes, optimizing allocation distribution of water resources, assessing, forecasting even preventing disasters. Nowadays, most data collection systems are based upon combination ground-based measurements, manned airborne sensors or satellite observations. These utilized describing both small large scale but have...
The National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP) mission has been validating its soil moisture (SM) products since the start of data production on March 31, 2015. Prior to launch, defined a set criteria for core validation sites (CVS) that enable testing key SM accuracy requirement (unbiased root-mean-square error <0.04 m<sup>3</sup>/m<sup>3</sup>). approach also includes other (“sparse network”) <i>in situ</i> measurements,...
Although soil moisture is a key factor of hydrologic and climate applications, global continuous high resolution datasets are still limited. Here we use physics-informed machine learning to generate global, long-term, spatially dataset surface moisture, using International Soil Moisture Network (ISMN), remote sensing meteorological data, guided with the knowledge physical processes impacting dynamics. Global Surface (GSSM1 km) provides (0-5 cm) at 1 km spatial daily temporal over period...
Enhanced and effective hydrological monitoring plays a crucial role in understanding water-related processes rapidly changing world. Within this context, image-based river has shown to significantly enhance data collection, improve analysis accuracy, support timely decision-making. The integration of remote proximal sensing technologies, with citizen science, artificial intelligence may revolutionize practices. Therefore, it is quantify the quality current research ongoing initiatives...
Roughness height for heat transfer is a crucial parameter in estimation of between the land surface and atmosphere. Although many empirical formulations have been proposed over past few decades, uncertainties associated with these are shown to be large, especially sparse canopies. In this contribution, simple physically based model derived roughness transfer. This from complex physical on “localized near-field” Lagrangian theory. (called Massman's model) another recently by fitting...
Abstract The Surface Energy Balance System (SEBS) model was developed to estimate land surface fluxes using remotely sensed data and available meteorology. In this study, a dual assessment of SEBS is performed two independent, high-quality datasets that are collected during the Soil Moisture–Atmosphere Coupling Experiment (SMACEX). purpose comparison twofold. First, local-scale data, model-predicted can be evaluated against in situ observations determine accuracy limit at field scale SEBS....
Accurate and consistent rainfall observations are vital for climatological studies in support of better agricultural water management decision-making planning. In East Africa, accurate estimation with an adequate spatial distribution is limited due to sparse rain gauge networks. Satellite products can potentially play a role increasing the coverage estimates; however, their performance needs be understood across space–time scales factors relating errors. This study assesses seven satellite...
Abstract An analysis is carried out for two hydrologically contrasting but thermodynamically similar areas on the Tibetan Plateau, to evaluate soil moisture based European Centre Medium‐Range Weather Forecasts (ECMWF) previous optimum interpolation scheme and current point‐wise extended Kalman filter scheme. To implement analysis, this study used regional temperature networks (i.e., Naqu Maqu) Plateau. For cold‐semiarid area, both ECMWF analyses significantly overestimate in monsoon seasons....
The validation of Soil Moisture and Ocean Salinity (SMOS) soil moisture products is a crucial step in the investigation their inaccuracies limitations, before planning further refinements retrieval algorithm. Therefore, this study intended to contribute SMOS products, by comparing them with data collected situ Maqu (China) Twente (The Netherlands) regions 2010. seasonal behavior generally agreement measurements for both regions. However, analysis resulted determination coefficients 0.55 0.51...
Abstract Roughness height for heat transfer is a crucial parameter in the estimation of sensible flux. In this study, performance Surface Energy Balance System (SEBS) has been tested and evaluated typical land surfaces on Tibetan Plateau basis time series observations at four sites with bare soil, sparse canopy, dense snow surface, respectively. Both under- overestimation low high fluxes by SEBS was discovered. Through sensitivity analyses, it identified that these biases are related to...
Abstract. Accurate quantification of the amount and spatial variation evapotranspiration is important in a wide range disciplines. Remote sensing based surface energy balance models have been developed to estimate turbulent fluxes at different scales. The objective this study evaluate Surface Energy Balance System (SEBS) model on landscape scale, using tower-based flux measurements land cover units during an overpass ASTER sensor over SPARC 2004 experimental site Barrax (Spain). A...
Abstract. Surface solar radiation is an important parameter in surface energy balance models and estimation of evapotranspiration. This study developed a DEM based model to estimate instantaneous clear sky for system obtain accurate absorbed by the mountain surface. Efforts improve spatial accuracy satellite budget mountainous regions were made this work. Based on eight scenes Landsat TM/ETM+ (Thematic Mapper/Enhanced Thematic Mapper+) data observations around Qomolangma region Tibetan...