A5102854734- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Cryospheric studies and observations
- Remote Sensing and Land Use
- Atmospheric and Environmental Gas Dynamics
- Calibration and Measurement Techniques
- Remote Sensing and LiDAR Applications
- Leaf Properties and Growth Measurement
- Climate change and permafrost
- Geochemistry and Geologic Mapping
- Plant Water Relations and Carbon Dynamics
- Land Use and Ecosystem Services
- Environmental and Agricultural Sciences
- Remote-Sensing Image Classification
- Atmospheric aerosols and clouds
- Climate variability and models
- Atmospheric Ozone and Climate
- Advanced Image Fusion Techniques
- Winter Sports Injuries and Performance
- Digital Media and Visual Art
- Antimicrobial Peptides and Activities
- Electrochemical Analysis and Applications
- Soil Geostatistics and Mapping
- Infrared Target Detection Methodologies
- Arctic and Antarctic ice dynamics
Earth System Science Interdisciplinary Center
2017-2024
University of Maryland, College Park
2017-2024
Shanxi Agricultural University
2024
NOAA Center for Satellite Applications and Research
2022-2023
NOAA National Environmental Satellite Data and Information Service
2022-2023
Anhui University of Traditional Chinese Medicine
2023
Taishan University
2021
Cooperative Institute for Climate and Satellites
2018
Peking University
2015-2017
Beijing Normal University
2015-2016
Abstract Land surface albedo plays a critical role in climate, hydrological and biogeochemical modeling, weather forecasting. It is often assigned models satellite retrievals by climatology look‐up tables using land cover type other variables; however, there are considerable differences simulations among models, which partially result from uncertainty obsolete climatology. Therefore, this study introduces new global 500 m daily blue‐sky data set under both actual snow‐free conditions...
Mapping soil organic carbon (SOC) accurately is essential for sustainable resource management. Hyperspectral data, a vital tool SOC mapping, obtained through both laboratory and satellite-based sources. While data limited to sample point monitoring, satellite hyperspectral imagery covers entire regions, albeit susceptible external environmental interference. This study, conducted in the Yuncheng Basin of Yellow River Basin, compared predictive accuracy (ASD FieldSpec4) GF-5 mapping....
A new directional canopy emissivity model (CE-P) based on spectral invariants is proposed in this paper. First, we prove the existence of invariant properties thermal infrared (TIR) band using a Monte Carlo model. Based it, equation derived from perspective absorption. In expression, single-scattering and multiscattering effects are separated analytically TIR band. We find that overall contribution multiple scatterings less than 0.005 when component emissivities over 0.90, decreases with...
The development of efficient and systematic groundbased spatial sampling strategies is critical for the validation medium-resolution satellite-derived leaf area index (LAI) products, particularly over heterogeneous land surfaces. In this paper, a new strategy based on high-resolution vegetation prior knowledge (SSVIP) proposed to generate accurate LAI reference maps areas. To capture variability across site, SSVIP designed 1) stratify nonhomogeneous into zones with minimum within-class...
The adjacency effect and non-uniform responses complicate the precise delimitation of surface support remote sensing data their derived products. Thus, modeling spatial response characteristics (SRCs) prior to using information has become important. A point spread function (PSF) is typically used describe SRCs observation cells from sensors always estimated in a laboratory before sensor launched. However, research on high-order products observations remains insufficient, which an obstacle...
ABSTRACT SARS-CoV-2 is the etiological agent responsible for COVID-19 outbreak in Wuhan. Specific antiviral drug are urgently needed to treat infections. The main protease (M pro ) of a key CoV enzyme that plays pivotal role mediating viral replication and transcription, which makes it an attractive target. In effort rapidly discover lead compounds targeting M , two ( 11a 11b were designed synthesized, both exhibited excellent inhibitory activity with IC50 value 0.05 μM 0.04 respectively....
A land-cover-based linear BRDF (bi-directional reflectance distribution function) unmixing (LLBU) algorithm based on the kernel-driven model is proposed to combine compact airborne spectrographic imager (CASI) with moderate resolution imaging spectroradiometer (MODIS) daily product derive BRDF/albedo of two sensors simultaneously in foci experimental area (FEA) Heihe Watershed Allied Telemetry Experimental Research (HiWATER), which was carried out River basin, China. For each land cover...
Mountainous areas with rugged terrains are widely distributed around the world. Remotely sensed values of fraction absorbed photosynthetically active radiation (FAPAR) suffer from effect terrain. In this study, terrain was incorporated into FAPAR model based on recollision probability (FAPAR-P), which improved in two aspects: calculating sky viewing factor to correct for diffuse total radiation, and correcting interception according slope aspect each pixel. The newly developed is called...
How to obtain the “truth” of land surface parameter as reference value validate remote sensing retrieved in heterogeneous scene and coarse-resolution pixel is one most challenging topics environmental studies. In this paper, a distributed sensor network system named CPP-WSN was established capture spatial temporal variation parameters at satellite scale around Huailai Remote Sensing Station, which locates North China Plain. The consists three subnetworks that are RadNet, SoilNet, VegeNet....
Albedo characterizes the radiometric interface of land surfaces, especially vegetation, and atmosphere. is a critical input to many models, such as crop growth hydrological models climate models. For extensive attention monitoring, physical albedo model for crops developed based on law energy conservation spectral invariants, which derived from prior forest model. The inputs have been efficiently physically parameterized, including dependency solar zenith/azimuth angle, fraction diffuse...
Ice albedo feedback amplifies climate change signals and thus affects the global climate. Global long-term records on sea-ice are important to characterize regional or energy budget. As successor of MODIS (Moderate Resolution Imaging Spectroradiometer), VIIRS (Visible Infrared Radiometer Suite) started its observation from October 2011 S-NPP (Suomi National Polar-orbiting Partnership). It has improved upon capabilities operational Advanced Very High (AVHRR) provides continuity with MODIS. We...
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...
In contrast to herbaceous canopies and forests, savannas are grassland ecosystems with sparsely distributed individual trees, so the canopy is spatially heterogeneous open, whereas woody cover in savannas, e.g., tree cover, adversely affects ecosystem structures functions. Studies have shown that dynamics of structure related available water, climate, human activities form porosity, leaf area index (LAI), clumping (CI). Therefore, it important identify biophysical parameters savanna...
Abstract The leaf area index (LAI) is one of the most important parameters vegetation canopy structure, which can represent growth conditions effectively. accuracy, availability, and timeliness LAI data be improved greatly, great importance to vegetation‐related research. There are various types terrain in Heihe River Basin, second largest inland river basin northwest China. It not only helpful evaluate accuracy retrieval algorithms for complex land surface but also useful understand fragile...
Wilson's disease (WD) is a genetic disorder with the A7P7B gene mutations. It difficult to diagnose in clinic. The purpose of this study was confirm whether amplitude low-frequency fluctuations (ALFF) one potential biomarkers for diagnosis WD. enrolled 30 healthy controls (HCs) and 37 WD patients (WDs) obtain their resting-state functional magnetic resonance imaging (rs-fMRI) data. ALFF obtained through preprocessing rs-fMRI To distinguish between WDs HCs, four clusters abnormal ALFF-z...
The Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature (LST) has been operationally produced for a decade since the Suomi National Polar-orbiting Partnership (SNPP) launched in October 2011. A comprehensive evaluation of its accuracy and precision will be helpful product users climate studies atmospheric models. In this study, VIIRS LST is validated with ground observations from multiple high-quality radiation networks, including six stations Radiation budget...
The Clumping Index (Ω) was introduced to quantify the spatial distribution pattern of vegetation elements. It is crucial improve estimation accuracy vital parameters, such as Leaf Area (LAI) and Gross Primary Production (GPP). Meanwhile, parameterization Ω challenging partly due varying observations canopy gaps from different view angles. Many previous studies have shown increase with zenith angle through samples gap size in situ measurements. In contrast, remote sensing retrieval algorithms...
<title>Abstract</title> Surface albedo greatly impacts how much energy the Earth absorbs. Intense human activities and rapid climate change have caused notable changes in surface albedo. Yet, land use/land cover (LULC) snow dynamics drive global mean (GLMA) is lack of comprehensive assessments to date. Thus, GLMA over last decades their corresponding radiative forcing system remains poorly understood. Here, we construct a satellite-based, seamless monthly dataset LULC look-up maps from 2001...
The evaluation of uncertainty in satellite-derived albedo products is critical to ensure their accuracy, stability and consistency for studying climate change. In this study, we assess the Moderate-resolution Imaging Spectroradiometer(MODIS) 8 day standard product MOD43B3 using ground-based albedometer measurement based on wireless sensor network (WSN) technology. experiment have been performed Huailai, Hubei province. A 1.5 km*2 km area are selected as study region, which locates between...
The Wireless Sensor Networks of Coarse-resolution Pixel Parameters (CPP-WSN) was established to monitor the heterogeneity coarse spatial resolution pixel, with consideration different categories land surface parameters in Huailai, Hebei province, China (40.349°N, 115.785°E). observation network radiation (RadNet) CPP-WSN developed for multi-band measurement and consisted 6 nodes covering 2km*2km area capture its heterogeneity. Each node employed four sensors observe five parameters. number...