A5101531806- Cryospheric studies and observations
- Climate change and permafrost
- Arctic and Antarctic ice dynamics
- Remote Sensing and Land Use
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Environmental Changes in China
- Advanced SAR Imaging Techniques
- Soil Moisture and Remote Sensing
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Radar Systems and Signal Processing
- Soil Carbon and Nitrogen Dynamics
- Land Use and Ecosystem Services
- Peatlands and Wetlands Ecology
- Coal and Its By-products
- Ocean Waves and Remote Sensing
- Air Quality and Health Impacts
- Geology and Paleoclimatology Research
- Aeolian processes and effects
- Hydrology and Watershed Management Studies
- Evaluation Methods in Various Fields
- Geological formations and processes
- Tropical and Extratropical Cyclones Research
- Environmental and Agricultural Sciences
- Heavy metals in environment
Aerospace Information Research Institute
2020-2025
Chinese Academy of Sciences
2011-2025
University of Chinese Academy of Sciences
2008-2025
Beijing Institute of Big Data Research
2023-2024
State Key Laboratory of Remote Sensing Science
2024
Ministry of Natural Resources
2024
National Quality Inspection and Testing Center for Surveying and Mapping Products
2024
State Key Joint Laboratory of Environment Simulation and Pollution Control
2024
Peking University
2024
Northeast Agricultural University
2024
Detection and imaging of multiple moving targets is a challenging task, particularly with real synthetic aperture radar (SAR) data. In this paper, different motion parameters are classified based on the relative locations their spectra to that clutter. Based classification, novel target processing strategy SAR data proposed, including two-step ground indication (GMTI) algorithm practical (GMTIm) error compensation. The GMTI has ability indicating targets, those submerged by clutter; GMTIm...
Snow profiles can provide reliable and detailed snow parameters for global change research, but it is still challenging to reconstruct large-scale spatiotemporally continuous profiles. Synthetic aperture radar (SAR) tomography (TomoSAR) has been proven be a promising method reconstructing the 3D structure of targets used from ground-based SAR. However, experimental condition SAR ideal algorithms developed have some problems when applied airborne spaceborne sensors, such as large...
Multi-input Multi-output Synthetic Aperture Radar (MIMO-SAR) systems significantly improve the performance of traditional SAR by providing more system freedom. However, in working mode simultaneous transceiver, each receiving antenna will receive scattered echoes all transmitting antennas, resulting overlapping echo data and serious related interference, which becomes main obstacle to further development application MIMO-SAR system. Therefore, achieving effective separation is key technical...
Monitoring of volatile organic compounds (VOCs) in air is crucial for understanding their atmospheric impacts and advancing emission reduction plans. This study presents an innovative integrated methodology suitable achieving semireal-time high spatiotemporal resolution three-dimensional measurements VOCs from ground to hundreds meters above ground. The integrates active AirCore sampler, custom-designed deployment unmanned aerial vehicles (UAV), a proton-transfer-reaction mass spectrometry...
Distribution of snow and its melting is a critical factor affecting local weather, avalanche flood forecasting, livelihood people residing, hydropower production. Most the existing dry wet identification methods were based on expensive quad-pol SAR with finite generalizability, while dual-pol larger coverage, longer time series open availability has more advantages. In this study, an unsupervised algorithm for discrimination, NSAE-WFCM, proposed variety polarimetric features derived from H-α...
The MOD10A1 daily snow cover product offers a fine temporal resolution, which is particularly important for time-critical applications. Although the reliability of this was mostly verified by ground measurements before use, inadequate representativeness point-scale observations may lead to errors in assessment MOD10A1. In study, based on Google Earth Engine, thoroughly evaluated total 20 131 binary maps generated from 30 m Landsat imagery 2000–2016 seasons three typical regions across China....
Snowmelt is a natural water resource, and its distribution essential for understanding regional climate change hydrological cycle. In this study, using dual-polarized C-band Sentinel-1 SAR data, we propose new wet snow detection algorithm that considers the effects of radar incidence angle, land cover types topography regions where prairie main type. We quantitatively evaluate performance proposed method by optical-derived maps. The results show (1) overall accuracy 80.8% (dry reference)...
Sensitivity analysis (SA) of model parameters is great importance for understanding, development, and application models. However, the influence snow microstructure variability on water equivalent retrieval from passive microwave measurements still unclear. This article explores parameter sensitivity emission layered snowpacks (MEMLS) with improved born approximation (IBA) by using a quantitative global SA method, extended Fourier amplitude test (EFAST) algorithm. A deep conducted, including...
A model and estimation procedure are proposed for the recurrence rate of hurricanes in Gulf Mexico. The based on representation hurricane tracks as a locally linear line process. spatial variation intensity process is estimated through kernel procedure. optimal degree smoothness selected resampling goodness-of-fit statistics. Simulations demonstrate that procedures can detect statistically significant variations occurrence hurricanes. emphasis study storms have affected offshore areas...
Snow cover is an important component of the cryosphere. Clouds have a large influence on optical remote sensing satellites when recognizing snow cover. Geostationary satellites, due to their high-frequency observations over coverage areas, can effectively compensate for drawback recognition from polar orbit under cloud-covered conditions. However, past geostationary relatively few band settings produce sensitive factors recognition. The FY-4A Advanced Radiation Imager (AGRI) satellite has...
Snow density is an important variable in snowpack research. The comprehensive applicability evaluation of the snow datasets a prerequisite these for their applications hydrology processes and climate change, as well equivalent water retrieval algorithms. In this letter, three datasets, including European ReAnalysis (ERA)-Interim, ERA5, newly released ERA5-Land was first assessed using two ground with different land covers from seven survey courses four densely sampled networks China. results...
Quad-pol SAR is one of the most effective approaches for dry and wet snow identification data, but its applicability limited by high cost quad-pol data. Dual-pol such as Sentinel-1 has larger spatial coverage, longer time sequences freely accessible there still a highly uncertainty in dual-pol to distinguish due polarimetric information. In this study, pixel neighborhood-based algorithm was developed verified using C-band data Northern Xinjiang, China. A total six decomposed parameters were...