A5085099069- Remote Sensing and Land Use
- Hydrology and Watershed Management Studies
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Climate variability and models
- Geographic Information Systems Studies
- Flood Risk Assessment and Management
- Geophysics and Gravity Measurements
- Hydrology and Drought Analysis
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Environmental Changes in China
- Soil erosion and sediment transport
- Marine and coastal ecosystems
- Soil Geostatistics and Mapping
- Precipitation Measurement and Analysis
- Landslides and related hazards
- Data Management and Algorithms
- Meteorological Phenomena and Simulations
- Advanced Computational Techniques and Applications
- Soil Moisture and Remote Sensing
- Solar and Space Plasma Dynamics
- Advanced Image Fusion Techniques
- Soil and Land Suitability Analysis
Hong Kong Baptist University
2016-2025
Wuhan University
2010-2025
China Nonferrous Metal Mining (China)
2021-2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
1999-2024
Lanzhou University of Technology
2024
Chinese Academy of Sciences
2006-2024
Sun Yat-sen University
2024
University of Gothenburg
2024
Shanghai Jiao Tong University
2024
Xinjiang Institute of Ecology and Geography
2024
ABSTRACT This study examines the temporal variations and spatial distributions of annual precipitation over Central Asia during periods 1901–2013, 1951–2013, 1979–2013 using latest version Global Precipitation Climatology Centre (GPCC) full data reanalysis 7 ( GPCC V7 ) set. The linear trend multiperiods entire region plain mountainous area separately are analysed by least square method ensemble empirical mode decomposition method. An overall increasing [0.66 mm (10 years) −1 ] is found for...
Abstract Taylor diagram has been frequently used to evaluate climate or hydrology models data. A summarizes three metrics including correlation coefficient (CC), standard deviation (STD), and centred root mean square error ( RMSE c ). Although these are relevant for some applications, in cases, additional indicators needed, which calls a new method. This study firstly addressed the short comments about distance between indices of simulation observation (DISO) described previous study....
Suspended particulate matter (SPM) is one of the dominant water constituents in inland and coastal waters, SPM concnetration (CSPM) a key parameter describing quality. This study, using in-situ spectral CSPM measurements as well Sentinel 2 Multispectral Imager (MSI) images, aimed to develop retrieval models further estimate values Poyang Lake, China. Sixty-eight hyperspectral relative response function were applied simulate MIS spectra. Thirty-four samples used calibrate left validate...
Climate models use quantitative methods to simulate the interactions of important drivers climate system, reveal corresponding physical mechanisms, and project future dynamics among atmosphere, oceans, land surface ice, such as regional global models. A comprehensive assessment these is identify their different overall performances, accuracy simulated temperature precipitation against observed field. However, until now, performances have not been quantified by a index except existed single...
The “dry gets drier, wet wetter” (DGDWGW) paradigm well describes the pattern of precipitation changes over oceans. However, it has also been usually considered as a simplified regional in wet/dry under global warming, although GCMs mostly do not agree this land. To examine validity land and evaluate how usage drought indices estimated from different hydrological variables affects detection trends, we take arid regions central Asia case study area estimate drying wetting trends during period...
The accuracies of gridded precipitation data sets are important for regional climate studies and hydrological models. In this study, the performances Global Precipitation Climatology Centre (GPCC) V7, Climatic Research Unit (CRU) TS 3.22 Willmott Matsuura (WM) were examined over central Asia by comparing them against observed records (OBS) from 586 meteorological stations during 1901–2010. results show that all three underestimated at annual monthly scales, especially in mountainous areas....
Abstract With the rapid development of big data, assessment data quality or model performance has become a hot scientific question. However, most existing lots metrics focus on specific aspects assessment, and comprehensive is rare. Therefore, it very necessary to develop new system. To address this problem, system constructed which named after Chen, Hu, Zhou (CCHZ)‐distance between indices simulation observation (DISO) according contributions Xi Deliang Zengyun Qiming Zhou. CCHZ‐DISO builds...
Extreme precipitation events have caused severe societal, economic and environmental impacts through the disasters of floods, flash-floods landslides. However, coarse-resolution satellite-derived data makes it difficult to quantitatively capture certain fine-scale heavy rainfall process. Therefore, improve spatial resolution accuracy satellite-based extremes, a downscaling-calibration scheme based on eXtreme Gradient Boosting (XGBoost_DC) was proposed in this study, where XGBoost algorithm...
Accuracy assessment for remote sensing classification is commonly based on using an error matrix, or confusion table, which needs reference, 'ground truthing', data to support. When undertaking change detection numerous multi-temporal images, it often difficult make the accuracy by 'traditional' method, typically requires simultaneous collection of reference data. In this study, we propose a new approach arguing rationality with post-classification comparison. Multi-temporal Landsat TM...
This paper explores the prospect of coupling fuzzy set theory and analytic hierarchy process (AHP) into a raster-based geographical information system (GIS) for preliminary screening landfill sites in Thailand. The linguistic variable is used to represent imprecision spatial data human cognition over criteria process. Proximity geographic objects, slope elevation are this investigation. priority weights reflecting preferences on criteria, accounting seventeen map layers, derived by method...
Abstract Remotely sensed data have been utilized for environmental change study over the past 30 years. Large collections of remote sensing imagery made it possible spatio‐temporal analyses environment and impact human activities. This research attempts to develop both conceptual framework methodological implementation land cover detection based on medium high spatial resolution temporal trajectory analysis. Multi‐temporal multi‐scale remotely integrated from various sources with a...
Under climate change and increasing water demands, groundwater depletion has become regional global threats for security, which is an indispensable target to achieving sustainable developments of human society ecosystems, especially in arid semiarid regions where a major source. In this study, 2003–2016 over Xinjiang China, typical region Central Asia, assessed using the gravity recovery experiment (GRACE) satellite land data assimilation system (GLDAS) datasets. transition warm-dry warm-wet...
Artificial light at night (ALAN) dramatically alters the natural daily cycle of and may cause a suite physiological behavioral responses freshwater crustacean Daphnia. Here, we conducted life table experiment to investigate effect different wavelengths [white (L-L, 400–800 nm), red (R, 614 green (G, 527 blue (B, 447 nm)] flashing modes [three colors flash alternately (3-Flash), seven strobe (7-Strobe)] ALAN on development, reproduction, predator-induced defenses Daphnia magna. The results...
Abstract This paper reports an investigation on the accuracy of grid-based routing algorithms used in hydrological models. A quantitative methodology has been developed for objective and data-independent assessment errors generated from that extract parameters gridded DEM. The generic approach is to use artificial surfaces can be described by a mathematical model, thus ‘true’ output value pre-determined avoid uncertainty caused uncontrollable data errors. Four based ellipsoid (representing...