- Impact of Light on Environment and Health
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Urban Green Space and Health
- Urban Transport and Accessibility
- EFL/ESL Teaching and Learning
- Remote-Sensing Image Classification
- Atmospheric Ozone and Climate
- Advanced Image Fusion Techniques
- Higher Education and Teaching Methods
- Precipitation Measurement and Analysis
- Education and Work Dynamics
- Remote Sensing and Land Use
- Infrared Target Detection Methodologies
- Advanced Neural Network Applications
- Advanced Computational Techniques and Applications
- Air Quality and Health Impacts
- Human Mobility and Location-Based Analysis
- Evaluation Methods in Various Fields
- Video Surveillance and Tracking Methods
- Air Quality Monitoring and Forecasting
- Meteorological Phenomena and Simulations
- Climate variability and models
- Discourse Analysis in Language Studies
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2016-2025
Wuhan University
2016-2025
Zhejiang University
2020-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2021-2025
Zhangzhou Normal University
2025
Nanjing Tech University
2024
Sichuan Agricultural University
2021-2024
Zhengzhou University
2024
Hunan Normal University
2024
Institute of Industrial Economics
2024
Historically, the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) was unique satellite sensor used to collect nighttime light, which is an efficient means map global economic activities. Since it launched in October 2011, Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi National Polar-orbiting Partnership (NPP) has become a new monitor light. This study performed first evaluation NPP-VIIRS light imagery modeling economy, analyzing 31 provincial...
Nighttime light observations from remote sensing provide us with a timely and spatially explicit measure of human activities, therefore enable host applications such as tracking urbanization socioeconomic dynamics, evaluating armed conflicts disasters, investigating fisheries, assessing greenhouse gas emissions energy use, analyzing pollution health effects. The new improved sensors, algorithms, products for nighttime lights, in association other Earth ancillary data (e.g., geo-located big...
Monthly composites of night-time light acquired from the Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) had been used to evaluate socio-economic dynamics and human rights during Syrian Civil War, which started in March 2011. However, DMSP/OLS monthly are not available subsequent February 2014, only for that period were Suomi National Polar-orbiting Partnership satellite's Visible Infrared Imaging Radiometer Suite (Suomi NPP/VIIRS). This article proposes an...
As the successor of Tropical Rainfall Measuring Mission (TRMM), Global Precipitation Measurement (GPM) mission significantly improves spatial resolution precipitation estimates from 0.25° to 0.1°. The present study analyzed error structures Integrated Multisatellite Retrievals for GPM (IMERG) monthly products over Mainland China March 2014 February 2015 using gauge measurements at multiple spatiotemporal scales. Moreover, IMERG were also compared with TRMM 3B43 products. results show that:...
This study investigates whether night-time light images acquired from the Defense Meteorological Satellite Program's Operational Linescan System provide spatial and temporal insight with regard to humanitarian aspects of Syrian crisis. Evaluating ongoing crisis in Syria is challenging since reliable witness reports are hard gather a war zone. Therefore satellite images, as one few sources objective information, potentially great importance. We used 38 monthly composites covering period...
The released VIIRS DNB nightly images, also known as daily nighttime provide rich information for time series analysis of global socioeconomic dynamics. Anisotropic characteristic is a possible factor that influences the radiance at night and its analysis. This study aims to investigate relationship between viewing angles Suomi NPP satellite in urban areas. First, twenty-nine points were selected globally explore angle variation views night. We found zenith (VZA) consistent (e.g. 0° 70°)...
Luojia 1-01 satellite, launched on 2 June 2018, provides a new data source of nighttime light at 130 m resolution and shows potential for mapping urban extent. In this paper, using VIIRS imagery, we compared several methods extracting areas, including Human Settlement Index (HSI), Simple Thresholding Segmentation (STS) SVM supervised classification. According to the accuracy assessment, HSI method LJ1-01 had best performance in extent extraction, which presented largest Kappa Coefficient...
The availability of accurate precipitation data with high spatial resolution is deemed necessary for many types hydrological, meteorological, and environmental applications. Tropical Rainfall Measuring Mission (TRMM) sets can provide effective information, but at coarse (0.25°), so it very important to improve their resolution. There a strong relationship between other environment variables (e.g. vegetation topography). existing precipitation-downscaling methods attempt describe this by...
Launched on 2 June 2018, Luojia-1 satellite records night-time light imagery at 130 m resolution, which is higher than most of the existing images to date. This study evaluated radiometric and spatial properties for cities Los Angeles, Wuhan Rome as well change detection capability Zunyi city. For property, analysis shows that correlate with radiance Visible Infrared Imaging Radiometer Suite (VIIRS)'s Day Night Band (DNB), have a wider range values, values (e.g., 40%–90% higher) VIIRS DNB...
Satellite-observed night-time light in urban areas has been widely used as an indicator for socioeconomic development and pollution. Up to present, the diurnal dynamics of city during night, which are important understand nature human activity underlying variables explaining brightness, have hardly investigated by remote sensing techniques due limitation revisit time spatial resolution available satellites. In this study, we employed a consumer-grade unmanned aerial vehicle (UAV) monitor...
Abstract The spatial agglomeration of urban elements results in the center-periphery structure, but difference gradients socioeconomic and physical is unclear. This study investigates how land density (ULD) nighttime light intensity (NLI) decline with distance to center(s) using inverse-S function. Taking 30 global megacities as examples, we acquired their 2020 represent elements, respectively. ULD NLI concentric rings have been calculated compare from city center(s). Results show that both...
Abstract The urban scaling theory (UST) strives for a universal taxonomy that depicts relationships among indicators (e.g. energy consumption, economic output) with city size. However, the lack of international agreement on definitions and statistics complicates cross-country comparisons performance. Remote sensing provides uniform standard measuring cities around world. To scrutinize consistency UST, we quantified changes in remotely sensed built-up areas (UBA) nighttime lights (NTL)...
In remote-sensing community, radiometric calibration of night-time light images has long been a problem, hindering change detection in different dates. Currently, an intercalibration model is regarded as the unique solution for but prior knowledge needed to extract reference pixels with stable lights, which are hard obtain most applications. This study proposed automatic algorithm convenient use model, assumption that there sufficient lights multi-temporal images. To automatically from two...
The territory controlled by the Islamic State of Iraq and Syria (ISIS) has grown rapidly since start Syrian Civil War. In 2014, ISIS expanded its control into Northern Iraq, leading to a major humanitarian crisis in region. This study makes use night-time light images detect offensive against 2014. We developed an algorithm separate city lights from oilfield lights, based on urban extent map. image analysis indicates that all Iraqi provinces experienced large reduction lighting, varying 16%...
In this study, we analyzed the night-time light dynamics in Iraq over period 2012–2017 by using Visible Infrared Imaging Radiometer Suite (VIIRS) monthly composites. The data quality of VIIRS images was improved repairing missing data, and Night-time Light Ratio Indices (NLRIs), derived from urban extent map images, were calculated for different provinces cities. We found that when Islamic State Syria (ISIS) attacked or occupied a region, region lost its rapidly, with Al-Anbar, At-Ta’min,...
The Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) records visible and near-infrared light from clouds the Earth’s surface at night, in doing so provides ...
Accurate and fine-grained information about the extent of damage to buildings is essential for humanitarian relief disaster response. However, as most commonly used architecture in remote sensing interpretation tasks, Convolutional Neural Networks (CNNs) have limited ability model non-local relationship between pixels. Recently, Transformer first proposed modeling long-range dependency natural language processing has shown promising results computer vision tasks. Considering frontier...
Recent studies have described the anisotropy of ALAN based on statistical analysis a quadratic model-based relationship between radiances derived from VIIRS Day/Night Band sensor onboard Suomi-NPP and viewing zenith angle (VZA) (Li et al., 2019). Contrary to conventional wisdom, satellite-observed radiance always decreases at first then increase with VZA, especially for high building areas. This leads so-called 'cold-spot' effect (i.e. reaches local minimum in specific VZA) VZA-radiance...
In this paper, we conducted a scientometric analysis based on the Night-Time Light (NTL) remote sensing related literature datasets retrieved from Science Citation Index Expanded and Social in Web of core collection database. Using methods bibliometric Network Analysis (SNA), drew several conclusions: (1) NTL studies have become research hotspot, especially after 2011 when second generation satellites, Suomi National Polar-orbiting Partnership (S-NPP) Satellite with Visible Infrared Imaging...
High spatiotemporal population data are critical for a wide range of applications (e.g. urban planning and management, risk assessment, epidemic control). However, such still not widely available due to the limited knowledge complex human activities. Here we proposed downscaling framework estimating hourly dynamics in Beijing by integrating remote sensing social data. First, generated two baseline maps during sleep work times using dasymetric method. Second, functional zones random forest...