A5011476548- Ocean Waves and Remote Sensing
- Oceanographic and Atmospheric Processes
- Coastal and Marine Dynamics
- Tropical and Extratropical Cyclones Research
- Arctic and Antarctic ice dynamics
- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Cryospheric studies and observations
- Geophysics and Gravity Measurements
- Anomaly Detection Techniques and Applications
- Face and Expression Recognition
- Meteorological Phenomena and Simulations
- Methane Hydrates and Related Phenomena
- Data Stream Mining Techniques
- Sustainable Agricultural Systems Analysis
- Machine Learning and Data Classification
- Climate variability and models
- Water Quality Monitoring Technologies
- Energy Efficiency in Computing
- Mathematical and Theoretical Epidemiology and Ecology Models
- Game Theory and Applications
- Remote Sensing in Agriculture
- Graph Labeling and Dimension Problems
- Advanced Graph Theory Research
- Atmospheric aerosols and clouds
Xi'an University of Science and Technology
2024-2025
Ocean University of China
2014-2024
Nanjing University of Information Science and Technology
2018-2024
Guangdong Urban & Rural Planning and Design Institute
2023
State Key Laboratory of Remote Sensing Science
2022
Ministry of Natural Resources
2022
Hangzhou Dianzi University
2022
Qingdao National Laboratory for Marine Science and Technology
2019-2021
Tianjin Normal University
2019-2020
Guangxi Normal University
2020
The first rotating fan beam scatterometer onboard China-France Oceanography Satellite (CFOSAT) was successfully launched on October 29, 2018. CFOSAT SCATterometer (CSCAT) is dedicated to the monitoring of sea surface wind vectors but also provides valuable data for applications over land and Polar Regions. This article an overview relevant procedures CSCAT processing, including signal processing operational ground processing. Then a post-launch analysis carried out evaluate results L1 L2...
The normalized radar cross section (NRCS) measured by satellite ocean systems is representative of the sea surface roughness at scale gravity-capillary waves, which are not only dominated winds, but also modulated some secondary factors such as temperature (SST) and salinity (SSS). In this paper, variations NRCS due to SST changes, depending on scatterometer frequency, polarization, incidence angle, investigated basis a physics-based backscatter model dataset collocated ASCAT C-band...
Agricultural extension service is the foundation of sustainable agricultural development. The evaluation and analysis for development can provide an effective analytical tool agriculture. This paper analyzes influence on development, constructs system from four dimensions environment, society, economy, service. work proposes a framework based combination technique order performance by similarity to ideal solution (TOPSIS) entropy method evaluate system. Taking three national modern...
Sustainable agriculture is a vital part of the UN Development Goals. While tremendous achievements in sector China have been made, series problems are challenging sustainable development management and economy. In this paper, level was evaluated by constructing an entropy-TOPSIS model. The agricultural evaluation system subsequently established, including 4 first-level criteria (economy, society, environment resources) 25 second-level criteria. Corresponding data on 13 cities Jiangsu...
The China-France Oceanography Satellite (CFOSAT) to be launched in October 2018 will carry two innovative payloads, i.e., the surface wave investigation and monitoring instrument rotating fan-beam scatterometer [CFOSAT (CFOSCAT)]. Both instruments, operated Ku-band microwave frequency, are dedicated measurement of sea spectra wind vectors, respectively. This paper provides an overview system definition characteristics CFOSCAT instrument. A prelaunch analysis is carried out estimate...
The new Ku-band scatterometer (HSCAT-B) onboard the HY-2B satellite was launched on October 25, 2018, and soon after C-band (Advanced Scatterometer (ASCAT)-C) MetOp-C November 6, 2018. This article aims to validate sea surface wind products from them, also summarize common issues in current products. Thus, other data are used for comparisons, including MetOp-B/ASCAT, SCATSAT-1/OSCAT2 HY-2A/SCAT winds. In this study, were each reproduced using same procedures, terms of backscatter...
Abstract A new Ku‐band geophysical model function (GMF), which includes sea surface temperature (SST) dependence, named NSCAT‐5, is developed for improved RapidScat wind retrieval. The scatterometer instrument mounted on the International Space Station (ISS) provides near‐global data over oceans. Starting from existing NSCAT‐4 GMF, variation of approximated as a second‐order Taylor expansion in each given speed , and fitting coefficients are obtained both observed simulated radar cross...
An objectively trained model for tropical cyclone intensity estimation from routine satellite infrared images over the Northwestern Pacific Ocean is presented in this paper. The correlated to some critical signals extracted images, by training 325 cases 1996 2007 typhoon seasons. To begin with, deviation angles and radial profiles of are calculated extract as much potential predicators possible. These examined strictly included into (or excluded from) initial predicator pool regression...
The Chinese HY-2C satellite was launched on Sep. 21, 2020, carrying the new Ku-band scatterometer (HSCAT-C). Different from other currently operating scatterometers, HSCAT-C is in a nonsun-synchronous orbit and as such it will be useful for cross-calibration of sea surface wind products current space-borne scatterometers radiometers. In this article, are validated by comparing to collocated winds buoys, European Centre Medium-Range Weather Forecasts model, several scatterometers. results...
As one of the most densely populated, economically developed, and outwardly open urban agglomerations in China, Pearl River Delta (PRD) agglomeration is a key player achieving China’s carbon peak neutrality targets. This study analyzes low-emission development by examining evolutionary patterns dioxide (CO2) emissions decoupling relationship between economic growth CO2 emissions, using latest available data from 2000 to 2020. Here are main findings: (1) We found significant fluctuation...
A near-real-time version of the blended sea surface wind (BSSW) data product from multiple satellites, as well processing method, and accuracy analysis is introduced in this paper. The BSSW used winds provided by virtual satellite constellation composed HY-2 series Metop satellites DMSP input. Error analysis, cross-calibration 2D-Var applied to blend these derived different platform. With methods, a with 6 hours interval spatial resolution 25 kilometers produced released operationally...
The Ku-band scatterometer called CSCAT onboard the Chinese–French Oceanography Satellite (CFOSAT) is first spaceborne rotating fan-beam (RFSCAT). A new algorithm for classification of Arctic sea ice types on measurement data using a random forest classifier presented. trained National Snow and Ice Data Center (NSIDC) weekly age concentration product. Five feature parameters, including mean value horizontal vertical polarization backscatter coefficient, standard deviation coefficient copol...
A sea ice detection algorithm based on Fisher’s linear discriminant analysis is developed to segment and open water for the Ku-band scatterometer onboard China’s Hai Yang 2A Satellite (HY-2A/SCAT). Residual classification errors are reduced through image erosion/dilation techniques growth/retreat constraint methods. The arctic sea-ice-type estimated via a time-dependent threshold derived from annual backscatter trends previous HY-2A/SCAT extent. extent edge of obtained in this study compared...
In this paper, a new meta-heuristic path planning algorithm, the cuckoo–beetle swarm search (CBSS) is introduced to solve problems of heterogeneous mobile robots. Traditional algorithms, e.g., genetic algorithms (GA), particle (PSO), beetle optimization (BSO), and cuckoo (CS), have such as tenancy become trapped in local minima because premature convergence weakness global capability planning. Note that CBSS algorithm imitates biological habits herds thus has good robustness ability....
The Chinese HY-2D satellite was launched on 19 May 2021, carrying a Ku-band scatterometer. Together with the operating scatterometers onboard HY-2B and HY-2C satellites, HY-2 series scatterometer constellation built, constituting different orbits hence opportunity for mutual intercomparison intercalibration. To achieve intercalibration of backscatter measurements these scatterometers, this study presents performs three methods including: (1) direct comparison using collocated measurements,...
The Ku-band scatterometer called CSCAT onboard the Chinese–French Oceanography Satellite (CFOSAT) is first spaceborne rotating fan-beam (RFSCAT). This paper performs sea ice monitoring with backscatter measurements in polar areas. have characteristics of diverse incidence and azimuth angles separation between open water ice. Hence, five microwave feature parameters, which show different sensitivity to or water, are defined derived from firstly. Then random forest classifier selected for...
The estimation of tropical cyclone (TC) intensity using Ku-band scatterometer data is challenging due to rain perturbation and signal saturation in the radar backscatter measurements. In this paper, an alternative approach directly taking maximum scatterometer-derived wind speed proposed assess TC intensity. First, center location identified based on unique characteristics stress divergence/curl near core. Then radial extent 17-m/s winds (i.e., R17) calculated field from Haiyang-2B (HY-2B)...