A5100687849- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Water Quality and Pollution Assessment
- Hydrology and Watershed Management Studies
- Remote Sensing in Agriculture
- Global Political and Economic Relations
- Coastal and Marine Dynamics
- Photovoltaic Systems and Sustainability
- Hydrology and Drought Analysis
- Power Systems and Renewable Energy
- Cryospheric studies and observations
- Tropical and Extratropical Cyclones Research
- Biocrusts and Microbial Ecology
- Climate variability and models
- Soil Carbon and Nitrogen Dynamics
- Flood Risk Assessment and Management
- Land Use and Ecosystem Services
- Arctic and Russian Policy Studies
- Remote Sensing and Land Use
- Energy, Environment, Economic Growth
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Social Acceptance of Renewable Energy
- Microbial Community Ecology and Physiology
Chinese Academy of Sciences
2017-2025
University of Chinese Academy of Sciences
2024
Dalian Ocean University
2024
Wuhan Institute of Physics and Mathematics
2024
Beijing Meteorological Bureau
2023
Inner Mongolia Agricultural University
2023
Hubei University
2022
Northwest Institute of Eco-Environment and Resources
2017-2020
Pandit Deendayal Petroleum University
2018
Northeast Normal University
2018
Abstract We report a unique multiyear L-band microwave radiometry dataset collected at the Maqu site on eastern Tibetan Plateau and demonstrate its utilities in advancing our understandings of observations land surface processes. The presented contains measurements brightness temperature by an ELBARA-III radiometer horizontal vertical polarization, profile soil moisture temperature, turbulent heat fluxes, meteorological data from beginning 2016 till August 2019, while experiment is still...
Abstract Solar energy, as an environmentally sustainable power source, is gaining increasing popularity worldwide, driving a surge in the number of solar photovoltaic (PV) plants. China, which has prominent role this domain, requires continuous updates to its PV plant data for spatiotemporal analyses. However, there remains absence comprehensive and timely dataset plants across leaving installation dates other crucial attributes analyses underexplored. This study leverages Sentinel-2 primary...
High-temporal-resolution inundation maps play an important role in surface water monitoring, especially lake sites where bodies change tremendously. Synthetic Aperture Radar (SAR) that guarantees a full time-series monitoring due to its cloud-penetrating capability is preferred practice. To date, the methods of extracting and analyzing have been widely discussed, but method refined by frequency map distinction from different datasets not fully explored. In this study, we leveraged Google...
Introduction Soil microorganisms are an important component of soil ecosystems with indispensable role in forest ecosystems. We analyzed the microbial diversity birch secondary formed by natural restoration or artificial reconstruction after interference burning, clear cutting, and gradient Betula platyphylla Suk undisturbed Greater Khingan Mountains China. Methods Illumina high-throughput sequencing technology was used to analyze characteristics community during process caused different...
It is crucial to investigate the characteristics of meteorological drought in Beijing–Tianjin–Hebei (BTH) region improve accuracy agriculture and water resource monitoring management. In this study, using instrumental observation data from 85 stations BTH during 1961–2023 derived National Meteorological Information Center, we first calculated comprehensive index (MCI) analyzed spatiotemporal MCI. region, MCI intensity May June was most severe intraseasonal variation. The trend decreasing...
Mixed pixels often hinder accurate cropland mapping from remote sensing images with coarse spatial resolution. Image super-resolution reconstruction technology is widely applied to address this issue, typically transforming coarse-resolution into fine resolution images, which are then used generate fine-resolution land cover maps using classification techniques. Deep learning has been for image reconstruction; however, collecting training samples difficult mapping. Given that the quality of...
Based on 2011–2020 panel data for China’s coastal cities and provinces, this study used the entropy method Theil index to measure marine environment quality (MEQ) construct MEQ indicators. We heterogeneity in regional a geographic detector model explore driving factors of MEQ. Our resulted following findings: (1) increased waves, but overall was relatively low, forming spatial distribution pattern high north south, low east. Moreover, polarized between provinces. (2) Regional showed...
The subject of this article is the analysis internal migration processes in Northeast China from 20th century to beginning 21st century. Special attention paid dynamics flows and their significant impact on demographic situation region. author examines specific features different provinces: Liaoning with its subprovincial cities demonstrates a net influx population, while Jilin Heilongjiang provinces are characterized by outflow population. explores causes these direct development region...
In this study we examined the linear decomposition and relationship between SMAP observed Polarization Ratio into surface soil moisture vegetation. Temporal regression, per each pixel, is performed to estimate coefficients. Variances (explained variance) in PR predominantly dominated by dynamics of degrades with increasing vegetation amount. Although PR, itself, high arid semi-arid regions, due lack dynamics, explained variance very small.
The extreme flooding event (EFE) acts as the essential role in export of riverine total dissolved iron (TDFe) which limits primary productivity marine ecosystems.In order to reveal influence EFE on variation TDFe, water samples were collected Yalu River, a typical boreal forest catchment China, analyze TDFe concentration and speciation well relevant quality parameters during together with regular flood season (RFS) base flow period (BFP).The results indicated represented significant increase...