A5100615555- Cryospheric studies and observations
- Climate change and permafrost
- Soil Moisture and Remote Sensing
- Remote Sensing and Land Use
- Environmental and Agricultural Sciences
- Quantum optics and atomic interactions
- Remote Sensing in Agriculture
- Environmental Changes in China
- Advanced Computational Techniques and Applications
- Precipitation Measurement and Analysis
- Landslides and related hazards
- Remote Sensing and LiDAR Applications
- Quantum Information and Cryptography
- Ionosphere and magnetosphere dynamics
- Mechanical and Optical Resonators
- Arctic and Antarctic ice dynamics
- Synthesis of heterocyclic compounds
- Soil erosion and sediment transport
- Geographic Information Systems Studies
- Urban Heat Island Mitigation
- Quantum Mechanics and Applications
- Forest, Soil, and Plant Ecology in China
- Forest Management and Policy
- Soil and Water Nutrient Dynamics
- Potato Plant Research
State Key Laboratory of Remote Sensing Science
2006-2025
Wuhan University of Technology
2024-2025
Chinese Academy of Forestry
2024-2025
Institute of Forest Resource Information Techniques
2024-2025
Smart Material (Germany)
2025
Institute of Forest Ecology, Environment and Protection
2025
State Forestry and Grassland Administration
2025
Changjiang Institute of Survey, Planning, Design and Research
2024
Beijing University of Civil Engineering and Architecture
2023
Ningbo University of Technology
2023
Abstract High‐precision soil moisture products play an important role in estimating forest carbon storage and emissions Genhe, China. In this paper, we evaluated the Soil Moisture Ocean Salinity (SMOS) L3 product, Active Passive (SMAP) four derived from Advanced Microwave Scanning Radiometer 2 (AMSR‐2), i.e., Dual Channel Algorithm based on Qp model (QDCA) Japan Aerospace Exploration Agency (JAXA) Land Parameter Retrieval Model (LPRM) C band X Genhe area of The results indicated that...
Studies related to vegetation dynamics in heterogeneous landscapes often require Normalized Difference Vegetation Index (NDVI) datasets with both high spatial resolution and frequent coverage, which cannot be satisfied by a single sensor due technical limitations. In this study, we propose new method called NDVI-Bayesian Spatiotemporal Fusion Model (NDVI-BSFM) for accurately effectively building Landsat-like NDVI integrating Moderate Resolution Imaging Spectroradiometer (MODIS) Landsat NDVI....
Dual-functional radar–communication systems are extensively employed for the detection and control of unmanned aerial vehicle groups play crucial roles in scenario monitoring. In this study, we address downlink precoding problem large-scale multi-user multiple-input multiple-output dual-function equipped with low-resolution quantized digital-to-analog converters. To tackle issue, develop a weighted optimization framework that minimizes mean squared error between transmitted symbols their...
Airborne LiDAR (ALS) data have been extensively utilized for aboveground biomass (AGB) estimation; however, the high acquisition costs make it challenging to attain wall-to-wall estimation across large regions. Some studies leveraged ALS as intermediate variables amplify sample sizes, thereby reducing and enhancing representativeness model accuracy, but cost issue remains in larger-scale estimations. Satellite data, offering a broader dataset that can be acquired quickly with lower costs,...
Graphite anodes are widely regarded as key components for achieving high-performance lithium-ion batteries. However, research on the multiscale effects of anode microstructures remains lacking in depth. The influence transport and reaction processes within microstructure overall battery performance requires a coupling investigation integrating both electrochemical physical field data. In this study, we construct two-dimensional (2D) multi-physics model simulate 2D geometry internal to...
We report on a first principles theory for analyzing the parametric electron pump at finite frequency. The is controlled by two pumping parameters with phase difference $\phi$. In zero frequency limit, our predicts well known result that pumped current proportional to $\sin\phi$. For more general situation of frequency, non-vanishing even when driving forces are in phase, agreement recent experimental results. present physical mechanism behind nonzero $\phi=0$, which we found be due...
Snow depth estimation with passive microwave (PM) remote sensing is challenged by spatial variations in the Earth’s surface, e.g., snow metamorphism, land cover types, and topography. Thus, traditional static retrieval algorithms cannot capture thickness well. In this study, we present a new operational algorithm, hereafter referred to as pixel-based method (0.25° × 0.25° grid-level), provide more accurate nearly real-time estimates. First, reference was retrieved using previously proposed...
Synthetic aperture radar (SAR) sensors, such as Advanced Land Observing Satellite-2 (ALOS-2) and Sentinel-1, provide significant opportunities for soil moisture content (SMC) retrieval with relatively high spatial resolutions (10~30 m). In this work, an artificial neural network (ANN) SMC algorithm combined the water cloud model, advanced integral equation Oh model database was proposed. The SAR copolarization backscatter, local incidence angle (LIA), normalized difference vegetation index...
With the rapid development of Earth observation technology, satellite data centres have accumulated large amounts remote sensing from different spaceborne and airborne sensors. The efficient management quick retrieval multisource, massive heterogeneous in Big Data age become increasingly important. In this paper, a spatio-temporal organization model based on GeoHash coding is proposed. First, ISO standard, metadata can be converted into unified format, differences multisource are screened....
Forest disturbances provide an important reference and a basis for studying the carbon cycle, biodiversity, eco-social development. Remote sensing is promising data source monitoring forest ecosystem dynamics detecting disturbance areas. This research used seasonal trend method to model Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series from 2007 2011 recursively with fixed-size temporal sliding window step length of 1 (i.e. 16...
The presence of estrogens and antibiotics in animal manure has raised considerable attention regarding their potential risks both the soil system human health. This study investigated removal (estriol (E3), bisphenol A (BPA), estradiol (17β-E2), ethinyl (EE2)), antibiotic (sulfadimethoxine (SDM)) livestock using Fenton oxidation process. Based on efficiency antibiotics, optimal conditions process were as follows: an H2O2 dosage 10.5 mmol/g slurry, Fe2+/H2O2 molar ratio 0.067 mol/mol, a...
GF-1卫星PMS(GF-1...
The dataset presented in this article is related to the work "Evaluation and Analysis of SMAP, AMSR2, MEaSUREs Freeze/Thaw Products China [1]". Soil moisture temperature are important variables land-atmosphere energy exchange, monitoring vegetation growth, predicting drought disasters climate hydrological modelling [2], [3], [4], [5], [6]. This provides detailed information on situ soil data network established Genhe watershed Saihanba area China, respectively. represents complex surface...
Forests have invariably been considered as an obstacle in retrieving land surface parameters from spaceborne passive microwave brightness temperature (TB) observations. For quantifying the effect of forests on signals, several models developed. However, these rarely reveal dependence radiation forest types, which can hardly meet needs high-accuracy retrieval terrestrial forested regions. A ground-based radiometric observation experiment was designed to investigate frequency, polarization,...
The spatial extent and duration of soil freeze/thaw (F/T) control water heat exchange, the energy cycle, climate change. Global warming causes permafrost thawing, which increases carbon emissions in turn exacerbates Passive microwave remote sensing has been proven to be effective monitoring land surface F/T. However, it was found that applicability existing passive sensing-retrieved F/T products large-scale areas (such as Qinghai-Tibetan Plateau (QTP)) influenced by some landscape factors,...