A5062867551- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Atmospheric aerosols and clouds
- Geographic Information Systems Studies
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Data Management and Algorithms
- Air Quality Monitoring and Forecasting
- Remote Sensing in Agriculture
- Advanced Image and Video Retrieval Techniques
- Remote-Sensing Image Classification
- Landslides and related hazards
- Cryospheric studies and observations
- Atmospheric Ozone and Climate
- Automated Road and Building Extraction
- Constraint Satisfaction and Optimization
- COVID-19 impact on air quality
- Image Retrieval and Classification Techniques
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Hydrology and Watershed Management Studies
- Environmental and Agricultural Sciences
- Species Distribution and Climate Change
- Simulation and Modeling Applications
- Diverse Aspects of Tourism Research
- Advanced Neural Network Applications
Lanzhou Jiaotong University
2016-2025
Nanjing Surveying and Mapping Research Institute (China)
2024
Dalian Maritime University
2020-2021
Panyu District Central Hospital
2020
University of Waterloo
2011-2015
Old Dominion University
2015
The COVID-19 (Coronavirus Disease 2019) broke out in the late of 2019. On January 23 Wuhan, and later all other cities country, there were taken measures to control spread virus through quarantine measures. This article focused on East China attempted assess comprehensively environmental impact outbreak. study analyzed satellite observational data sulfur dioxide (SO2), nitrogen (NO2), carbon monoxide (CO) aerosol optical depth (AOD) period before outbreak epidemic during implementation...
Camrelizumab is an antibody against programmed death protein 1. We assessed the activity and safety of camrelizumab plus apatinib, a tyrosine kinase inhibitor vascular endothelial growth factor receptor-2, in patients with advanced cervical cancer.
Aerosol optical depth (AOD) is one of essential atmosphere parameters for climate change assessment as well total ecological situation study. This study presents long-term data (2000-2017) on time-space distribution and trends in AOD over various regions China, received from Moderate Resolution Imaging Spectroradiometer (MODIS) (combined Dark Target Deep Blue) Multi-angle (MISR), based satellite Terra. Ground-based stations Robotic Network (AERONET) were used to validate the obtained. data,...
Abstract Increasing human activity around the world has greatly changed natural ecosystem and services it provides. In past few decades, a series of significant changes have taken place in land use/land cover (LULC) China due to rapid growth population, particularly cities Zhujiang Deita. However, there been attempts study co-evolution change service value (ESV) main urban area Guangzhou. Therefore, based on Landsat TM/OLI images from 1987, 1993, 1999, 2005, 2011 2017, weight vector AdaBoost...
Remote sensing monitoring of glacial lakes is an indispensable tool for identifying and preventing lake disasters. At present, the existing extraction methods based on Landsat remote image have achieved remarkable results, but algorithms used lack ability to analyze spectral shape texture features, require manual design parameters fine tune automation algorithm. As a result, it cannot mine depth features glacier in images accurately enough. To address these challenges, this study designed...
Landslide susceptibility mapping (LSM) is very important for hazard risk identification and prevention. Most of existing neural network models extract a pixel neighborhood feature or sequence landslide factors on one side, which leads to the generalization ability difficultly, had low prediction accuracy in complex scenes. In this paper, new unified information considering superimposed spatial neighbourhood proposed LSM. Different from traditional model framework, conditioning are merged...
Surface deformation poses a great threat to the safety of Jinchuan mining area production activities. At present, spatio-temporal evolution law and mechanism surface in are unclear, it is difficult obtain reliable prediction results using existing methods due lack model parameters or relevant data. To solve these problems, this study proposes new unified convolutional neural network with peephole long short-term memory (CNN-PhLSTM). Small baseline subset interferometric synthetic aperture...
Every spring, a large part of China is confronted with sand and dust storms (SDS) – mainly originating in the Gobi (including Chinese Mongolian Gobi) Taklamakan deserts. In March-April 2023, most northern, northwestern northeastern was struck by three sandstorms that affected an area more than 500 million people. this study, aerosol optical, microphysical radiative properties were studied during these SDS events using integrated approach combines satellite, terrestrial re-analysis data. The...
Drainage pattern recognition is crucial for geospatial understanding and hydrologic modelling. Currently, drainage methods employ geometric measures of overall local features river networks but lack basin unit shape features, so that potential correlations between segments are usually ignored, resulting in poor results. In order to overcome this problem, paper proposes a supervised graph neural network method considers the networks. First, based on hierarchy networks, confluence angle units,...
This study provides characteristics of aerosol columnar properties, measured over ten countries in Eastern Europe from 2002 to 2019. Aerosol optical depth (AOD) and Ångström exponent (AE) were obtained with the Moderate Resolution Imaging Spectroradiometer (MODIS) Collection 6.1 merged Dark Target Deep Blue product. The product is validated using ground-based Robotic Network (AERONET) situated at Minsk, Belsk, Moldova Kyiv. results showed that 76.15% retrieved AOD data are within expected...
The Qilian Mountains (QLMs), an important ecological protective barrier and major water resource connotation area in the Hexi Corridor region, have impact on security western China due to their changes. However, most existing studies investigated vegetation changes main driving forces QLMs basis of a single scale. Thus, interactions among multiple environmental factors are still unclear. This study was based normalised difference index (NDVI) data from 2000 2019. We systematically analysed...
Since its first detection in December 2019 the Chinese city of Wuhan, virus has become a global pandemic within just three months. The Polish government declared state emergency on March 14, 2020, which was connected with adoption number measures aimed to prevent spread virus. These restrictive have led improvements air quality throughout country. Therefore, evaluation reduction anthropogenic emissions due COVID-19 and related constrain is crucial define impact pollution. During this study,...