Wenpeng Lin
Biographic Data
| ID | 7898227 |
|---|---|
| NAME | Wenpeng Lin |
| GIVEN NAMES | Wenpeng |
| FAMILY NAME | Lin |
| SIGNATURE | LIN W |
| AFFILIATIONS | Shanghai Normal University |
| ORCID | 0000-0002-7974-6408 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Accounting for Land Use Carbon Emissions Considering Differences in Wetland Types to Support the Achievement of SDG 13.2.2
In recent years, the relentless rise in global greenhouse gas (GHG) emissions has escalated climate change. Land‐use changes, particularly those involving wetlands, significantly impact GHG emissions. However, previous studies on land‐use carbon emissions often overlooked the specific contributions of different wetland types. This study aims to assess these differential contributions and explore strategies for managing GHG emissions (SDG 13.2.2) …
Assessment of eco-environment quality using multi-source remote sensing data
Accurate analysis of regional eco-environment quality (EEQ) changes is essential for urban sustainability. Most of the widely used EEQ indicators ignore the impact of air pollution caused by urbanization and economic growth. This study proposed a remote sensing-based approach using a time-series comprehensive evaluation index (CEI), which was developed by PM2.5 concentration, Land surface temperature (LST), and vegetation coverage (VC) to assess …
Impacts of extreme drought and heatwave events on evergreen forests in warm and humid climate regions
Afforestation and reforestation are widely recognized as key ecological approaches for addressing global warming. However, the increasing frequency, duration, and intensity of extreme climate events, especially in warm and humid regions, pose great challenges to the carbon sequestration efficiency and ecological stability of forest ecosystems. Consequently, understanding the different performances of planted versus natural forests under extreme c…
Spatio-temporal variation of the relationship between air pollutants and land surface temperature in the Yangtze River Delta Urban Agglomeration, China
PM2.5 Exposure and Health Risk Assessment Using Remote Sensing Data and GIS
Assessing personal exposure risk from PM 2.5 air pollution poses challenges due to the limited availability of high spatial resolution data for PM 2.5 and population density. This study introduced a seasonal spatial-temporal method of modeling PM 2.5 distribution characteristics at a 1-km grid level based on remote sensing data and Geographic Information Systems (GIS). The high-accuracy population density data and the relative exposure risk model…
Estimation model of dust deposition capacity of common vegetation based on spectral characteristics in Shanghai, China
A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data
In the trend of global warming and urbanization, frequent extreme weather has a severe impact on the lives of citizens. Land Surface Temperature (LST) is an essential climate variable and a vital parameter for land surface processes at local and global scales. Retrieving LST from global, regional, and city-scale thermal infrared remote sensing data has unparalleled advantages and is one of the most common methods used to study urban heat island e…
Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries
The dynamic analysis and evaluation on tourist ecological footprint of city
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The dynamic analysis and evaluation on tourist ecological footprint of city
Mapping the capacity of concave green land in mitigating urban pluvial floods and its beneficiaries
Estimation model of dust deposition capacity of common vegetation based on spectral characteristics in Shanghai, China
A Comparative Analysis of Retrieval Algorithms of Land Surface Temperature from Landsat-8 Data
In the trend of global warming and urbanization, frequent extreme weather has a severe impact on the lives of citizens. Land Surface Temperature (LST) is an essential climate variable and a vital parameter for land surface processes at local and global scales. Retrieving LST from global, regional, and city-scale thermal infrared remote sensing data has unparalleled advantages and is one of the most common methods used to study urban heat island e…
PM2.5 Exposure and Health Risk Assessment Using Remote Sensing Data and GIS
Assessing personal exposure risk from PM 2.5 air pollution poses challenges due to the limited availability of high spatial resolution data for PM 2.5 and population density. This study introduced a seasonal spatial-temporal method of modeling PM 2.5 distribution characteristics at a 1-km grid level based on remote sensing data and Geographic Information Systems (GIS). The high-accuracy population density data and the relative exposure risk model…
Spatio-temporal variation of the relationship between air pollutants and land surface temperature in the Yangtze River Delta Urban Agglomeration, China
Accounting for Land Use Carbon Emissions Considering Differences in Wetland Types to Support the Achievement of SDG 13.2.2
In recent years, the relentless rise in global greenhouse gas (GHG) emissions has escalated climate change. Land‐use changes, particularly those involving wetlands, significantly impact GHG emissions. However, previous studies on land‐use carbon emissions often overlooked the specific contributions of different wetland types. This study aims to assess these differential contributions and explore strategies for managing GHG emissions (SDG 13.2.2) …
Assessment of eco-environment quality using multi-source remote sensing data
Accurate analysis of regional eco-environment quality (EEQ) changes is essential for urban sustainability. Most of the widely used EEQ indicators ignore the impact of air pollution caused by urbanization and economic growth. This study proposed a remote sensing-based approach using a time-series comprehensive evaluation index (CEI), which was developed by PM2.5 concentration, Land surface temperature (LST), and vegetation coverage (VC) to assess …
Impacts of extreme drought and heatwave events on evergreen forests in warm and humid climate regions
Afforestation and reforestation are widely recognized as key ecological approaches for addressing global warming. However, the increasing frequency, duration, and intensity of extreme climate events, especially in warm and humid regions, pose great challenges to the carbon sequestration efficiency and ecological stability of forest ecosystems. Consequently, understanding the different performances of planted versus natural forests under extreme c…
Environmental Science (9 works) · Geography (7 works) · Ecology (6 works) · Geology (4 works) · Remote sensing (4 works) · Urban Heat Island Mitigation (4 works) · Air pollution (3 works) · China (3 works) · Computer Science (3 works) · Land Use and Ecosystem Services (3 works)