A5026494699- Cryospheric studies and observations
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Soil Moisture and Remote Sensing
- Geophysical Methods and Applications
- Plant Water Relations and Carbon Dynamics
- Meteorological Phenomena and Simulations
- Microwave Imaging and Scattering Analysis
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Composite Structure Analysis and Optimization
- Arctic and Antarctic ice dynamics
- Climate variability and models
- Remote-Sensing Image Classification
- Land Use and Ecosystem Services
- Fire effects on concrete materials
- Urban Heat Island Mitigation
- Vibration and Dynamic Analysis
- Atmospheric aerosols and clouds
- Hydrological Forecasting Using AI
- Landslides and related hazards
- Radar Systems and Signal Processing
- Geophysics and Gravity Measurements
- Structural Analysis and Optimization
- Remote Sensing and LiDAR Applications
Northwest Institute of Eco-Environment and Resources
2017-2025
Chinese Academy of Sciences
2016-2025
Beijing Institute of Big Data Research
2023-2025
Geely (China)
2023-2024
Green Energy Engineering Consultancy (China)
2024
Harbin Institute of Technology
2023-2024
Institute of Atmospheric Physics
2024
Sun Yat-sen University
2022-2024
Lanzhou Jiaotong University
2024
University of Chinese Academy of Sciences
2018-2023
Significance Conventional greenhouse gas mitigation policies ignore the role of global wetlands in emitting methane (CH 4 ) from feedbacks associated with changing climate. Here we investigate wetland and whether, to what degree, will exceed anthropogenic 21st century CH emissions using an ensemble climate projections a biogeochemical model dynamic area permafrost. Our results reveal emerging contribution due processes mainly related sensitivity temperature area. We highlight that...
Abstract Data assimilation plays a dual role in advancing the “scientific” understanding and serving as an “engineering tool” for Earth system sciences. Land data (LDA) has evolved into distinct discipline within geophysics, facilitating harmonization of theory allowing land models observations to complement constrain each other. Over recent decades, substantial progress been made theory, methodology, application LDA, necessitating holistic in‐depth exploration its full spectrum. Here, we...
Urban sustainable development has attracted widespread attention worldwide as it is closely linked with human survival. However, the growth of urban areas frequently disproportionate in relation to population developing countries; this discrepancy cannot be monitored solely using statistics. In study, we integrated earth observation (EO) and statistical data monitoring Sustainable Development Goals (SDG) 11.3.1: “The ratio land consumption rate (LCRPGR)”. Using EO (including China’s...
<p indent=0mm>Mangrove forests are tropical trees and shrubs that grow in sheltered coastlines, mudflats, river banks many parts of the world. These rated amidst most productive natural ecosystems on earth, ecologically socioeconomically important because their crucial roles coastal ecosystem protection. However, these declining at an alarming rate, which is possibly more rapid than inland forests. This serious loss has prompted a worldwide movement to protect promote sustainable use...
Urban green belts (UGBs), an important infrastructure of cities, have the functions constraining urban sprawl, which are great significance to green, resilient and sustainable development. However, it remains unclear how quantify effect UGBs on sprawl degree fragmentation after constrain sprawl. Here, we proposed a extraction method explore spatial evolution in rapidly expanding megacity Beijing from 2000 2020. We also quantitatively investigated role measured with help constraint assessment...
Deep learning has demonstrated its effectiveness in capturing high-level features, with convolutional neural networks (CNNs) excelling remote sensing classification. However, CNNs encounter challenges when applied to Landsat images limited multi-spectral bands, as they struggle learn stable features from the spectral domain and integrate them spatial enhance accuracy. Additionally, most CNN applications focus on directly raw image, making susceptible environment changes. To overcome these...
ABSTRACT The distributive characteristics of snow cover and their impacting mechanisms on ground thermal regimes in Northeast China remain evasive because limited systematic studies. In this study, based long‐term ground‐based observational data auxiliary topographic data, geographically weighted regression kriging (GWRK) method the temperature at top permafrost (TTOP) model were used to analyze influences duration (SCD) average depth over SCD (ASD ) Xing'an 1960s–2010s. results show a...
Abstract. Evapotranspiration (ET) from the wetland of Yellow River Delta (YRD) is one important components in water cycle, which represents consumption by plants and evaporation non-vegetated surfaces. Reliable estimates total evapotranspiration useful information both for understanding hydrological process management to protect this natural environment. Due heterogeneity vegetation types canopy density soil content over (specifically reserve areas), it difficult estimate regional...
In ground-penetrating radar imaging, the classic back-projection (BP) algorithm has an excellent reputation for imaging in layered mediums with convenience and robustness. However, BP is time consuming a lot of artifacts, which have adverse effects on following work like detection recognition. A novel algorithm, both fast good effect suppressing proposed this letter. At first, approved approximation method used to calculate position refraction point remarkable speed satisfactory accuracy....
The objectives of this study were to detect coarse tree root and estimate biomass in the field by using an advanced 3D Ground Penetrating Radar (3D GPR) system. This obtained full-resolution imaging results system 500 MHz 800 bow-tie antennas, respectively. measurement site included two larch trees, one them was excavated after GPR measurements. In paper, a searching algorithm, based on continuity pixel intensity along space, is proposed, roots whose diameters are more than 5 cm detected...
Cloud obscuration leaves significant gaps in MODIS snow cover products. In this study, an innovative gap-filling method based on the concept of non-local spatio-temporal filtering (NSTF) is proposed to reconstruct cloud fractional (SCF) The ground information a gap pixel was estimated by using appropriate similar pixels remaining known part image via automatic machine learning technique. We take SCF product filling data from 2001 2016 Northern Xinjiang, China as example. results demonstrate...