- Impact of Light on Environment and Health
- Flood Risk Assessment and Management
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Atmospheric chemistry and aerosols
- Air Quality and Health Impacts
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Urban Transport and Accessibility
- Hydrology and Watershed Management Studies
- Automated Road and Building Extraction
- Hydrological Forecasting Using AI
- Environmental Changes in China
- Vehicle emissions and performance
- Air Quality Monitoring and Forecasting
- Water Quality Monitoring Technologies
- Energy, Environment, Economic Growth
- Environmental Monitoring and Data Management
- Geochemistry and Geologic Mapping
- Urban Heat Island Mitigation
- Atmospheric and Environmental Gas Dynamics
- Environmental Quality and Pollution
- Water Quality and Pollution Assessment
- Water Resources and Sustainability
- Maritime Navigation and Safety
China Institute of Water Resources and Hydropower Research
2019-2025
Ministry of Water Resources of the People's Republic of China
2019-2025
University of Jinan
2015-2025
Shandong Normal University
2020-2024
Chinese Academy of Sciences
2017-2021
CRRC (China)
2020-2021
Research Center for Eco-Environmental Sciences
2021
Jiangxi College of Applied Technology
2021
Aerospace Information Research Institute
2019-2020
China National Commission for Disaster Reduction
2020
The successful launch of Luojia 1-01 complements the existing nighttime light data with a high spatial resolution 130 m. This paper is first study to assess potential using imagery for investigating artificial pollution. Eight images were selected conduct geometric correction. Then, ability detect pollution was assessed from three aspects, including comparison between and Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), source patterns urban...
Surface water mapping is essential for monitoring climate change, resources, ecosystem services and the hydrological cycle. In this study, we adopt a multilayer perceptron (MLP) neural network to identify surface in Landsat 8 satellite images. To evaluate performance of proposed method when extracting water, eight images typical regions are collected, index support vector machine employed comparison. Through visual inspection quantitative index, algorithm terms entire scene classification,...
Surface water bodies, such as rivers, lakes, and reservoirs, play an irreplaceable role in global ecosystems climate systems. Sentinel-2 imagery provides new high-resolution satellite remote sensing data. Based on the analysis of spectral characteristics satellite, a novel index called (SWI) that is based vegetation-sensitive red-edge band (Band 5) shortwave infrared 11) bands was developed. Four representative body types, namely, Taihu Lake, Yangtze River, Chaka Salt Chain were selected...
Automatic water body extraction method is important for monitoring floods, droughts, and resources. In this study, a new semantic segmentation convolutional neural network named the multi-scale (MWEN) proposed to automatically extract bodies from GaoFen-1 (GF-1) remote sensing images. Three networks (fully (FCN), Unet, Deeplab V3+) are employed compare with performance of MWEN. Visual comparison five evaluation metrics used evaluate these (CNNs). The results show following. (1) in multiple...
Investigating the coordinated development between social economy and water environmental quality is an important basis for promoting protection of ecological environment. In this paper, a comprehensive index system was built to estimate coupling coordination subsystems in Nansi Lake catchment, China. Improved degree (CCD) model, scissors difference projection pursuit model based on genetic algorithm were developed investigate spatiotemporal distribution dynamic evolution mechanism...
Rapid urbanization and economic development inevitably lead to light pollution, which has become a universal environmental issue. In order reveal the spatiotemporal patterns evolvement rules of pollution in China, images from 1992 2012 were selected Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) systematically corrected ensure consistency. Furthermore, we employed linear regression trend method nighttime index demonstrate China’s characteristics across...
The Surface Water and Ocean Topography (SWOT) satellite mission, jointly developed by NASA several international collaboration agencies, aims to achieve high-resolution two-dimensional observations of global surface water. Equipped with the advanced Ka-band radar interferometer (KaRIn), it significantly enhances ability monitor water provides a new data source for obtaining large-scale elevation (WSE) at high temporal spatial resolution. However, accuracy applicability its scientific...
The Yemen conflict has caused a severe humanitarian crisis. This study aims to evaluate the crisis by making use of time series nighttime light images from Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite sensor (NPP-VIIRS). We develop process flow correct NPP-VIIRS April 2012 March 2017 employing Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) stable image. analyses at national scales show that there is sharp decline in...
Since the beginning of 21st century, spatial pattern urban expansion and mechanism urbanization in coastal areas have undergone significant changes. This study aims to reveal spatiotemporal patterns land analyze dynamic driving forces agglomeration Pearl River Delta China from 2000 2015. The urban-land-expansion intensity index, difference fractal dimension were used how this area was developed, geographical detector applied explore relative importance, intensity, interactions physical...
The COVID-19 global pandemic has posed a serious impact on human life and health. Facing this unknown, unexpected, devastating disease, China launched resolute battle to prevent control its spread. This study focused assessing the recovery of city activity 17 administrative regions in around period early 2020. night-time light (NTL) satellite remote sensing data, NPP-VIIRS dataset, was applied evaluate NTL changes during coronavirus epidemic understand economy China. A series median...
Abstract. Water body plays an irreplaceable role in the global ecosystem and climate system. Sentinel-2 is a new satellite data with higher spatial spectral resolution. Through analysing characteristics of imagery, brightness water vegetation red edge band shortwave infrared showe sharply different than that not body. Therefore, type index SWI (Sentinel-2 Index) was proposed by combing those two bands. Four representative types, which included Taihu Lake, Yangtze River Estuary, ChaKa Salt...
Exploring the spatial-temporal evolution characteristics of land use carbon emissions and their influencing factors is great significance for optimization structure, formulation emission reduction policies, development a regional low-carbon economy. Based on cover energy consumption data, multi-parameter accounting system was constructed to calculate in Shandong Province. Moreover, were analyzed based Gini coefficient logarithmic mean Divisia index. The results indicated that ① From 2000...
From 2020 to 2022, hydrological extremes such as severe floods and droughts occurred successively in Jiujiang city, Poyang Lake Basin, posing a threat regional water quality safety. The chlorophyll-a (Chl-a) concentration is key indicator of river eutrophication. Until now, there has been lack empirical research exploring the Chl-a trend inland context extremes. In this study, Sentinel-2 satellite remote sensing data sourced from Google Earth Engine (GEE) cloud platform, along with hourly...
Protected areas (PAs) with natural, ecological, and cultural value play important roles related to biological processes, biodiversity, ecosystem services. Over the past four decades, spatial range intensity of light pollution in China has experienced an unprecedented increase. Few studies have been documented on across PAs China, especially regions that provide a greater amount biodiversity conservation. Here, nighttime satellite images from Defense Meteorological Satellite Program...
Rapid urbanization has given rise to serious urban problems. It is crucial understand the process accurately and quickly identify boundary changes in built-up areas implement planning schemes adjustments scientific effective ways. This study proposes a new method automate refine extraction of by using Landsat nighttime light (NTL) imagery. The agglomeration Dongting Lake Ecological Economic Zone (UADLEEZ) data are mapped NTL resampling, superpixel segmentation, assigning blank part with...
The emission sources and health risks of volatile organic compounds (VOCs) were analyzed evaluated in a typical petrochemical refinery Hainan, China. levels 9 VOCs five production areas identified qualified, the probabilistic risk assessment method was employed to obtain more reasonable scientific outcomes specifically realized by inhalation model Monte Carlo simulation. Sensitivity uncertainty analysis also conducted determine influential factors evaluation process. results indicated that...
Large-scale surface water mapping not only helps us protect, utilize and manage resources but also contributes to the understanding of climate change hydrologic cycle. A recent study showed that a multilayer perceptron (MLP) neural network is an effective method identify various types from Landsat 8 Operational Land Imager (OLI) satellite imagery. We use this produce map China for 2015 (SWMC-2015) at 30 m pixel size. The accuracy SWMC-2015 was assessed with set random validation points....