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Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE
by
Ji, Wenxin
, Liu, Yaohui
, Dong, Hao
, Cui, Jian
, Zhu, Mingshui
in
Algorithms
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Center of gravity
/ China
/ Conservation of Natural Resources
/ Data processing
/ Earth and Environmental Science
/ Ecological function
/ ecological restoration
/ Ecology
/ Economic development
/ Ecosystem
/ Ecosystem services
/ ecosystems
/ Ecotoxicology
/ Environment
/ Environmental economics
/ Environmental Management
/ Environmental Monitoring
/ Environmental restoration
/ Environmental science
/ fractional vegetation cover
/ Gravity
/ Internet
/ issues and policy
/ Land use
/ Monitoring/Environmental Analysis
/ Natural resources
/ Plant cover
/ Population density
/ Regional planning
/ Remote sensing
/ Restoration strategies
/ Soil
/ Soil types
/ Soils
/ Sustainability
/ Sustainability management
/ Sustainable Development
/ Temporal variations
/ Time series
/ Trend analysis
/ Trends
/ Vegetation
/ Vegetation changes
/ Vegetation cover
/ Vegetation effects
2023
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Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE
by
Ji, Wenxin
, Liu, Yaohui
, Dong, Hao
, Cui, Jian
, Zhu, Mingshui
in
Algorithms
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Center of gravity
/ China
/ Conservation of Natural Resources
/ Data processing
/ Earth and Environmental Science
/ Ecological function
/ ecological restoration
/ Ecology
/ Economic development
/ Ecosystem
/ Ecosystem services
/ ecosystems
/ Ecotoxicology
/ Environment
/ Environmental economics
/ Environmental Management
/ Environmental Monitoring
/ Environmental restoration
/ Environmental science
/ fractional vegetation cover
/ Gravity
/ Internet
/ issues and policy
/ Land use
/ Monitoring/Environmental Analysis
/ Natural resources
/ Plant cover
/ Population density
/ Regional planning
/ Remote sensing
/ Restoration strategies
/ Soil
/ Soil types
/ Soils
/ Sustainability
/ Sustainability management
/ Sustainable Development
/ Temporal variations
/ Time series
/ Trend analysis
/ Trends
/ Vegetation
/ Vegetation changes
/ Vegetation cover
/ Vegetation effects
2023
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Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE
by
Ji, Wenxin
, Liu, Yaohui
, Dong, Hao
, Cui, Jian
, Zhu, Mingshui
in
Algorithms
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Center of gravity
/ China
/ Conservation of Natural Resources
/ Data processing
/ Earth and Environmental Science
/ Ecological function
/ ecological restoration
/ Ecology
/ Economic development
/ Ecosystem
/ Ecosystem services
/ ecosystems
/ Ecotoxicology
/ Environment
/ Environmental economics
/ Environmental Management
/ Environmental Monitoring
/ Environmental restoration
/ Environmental science
/ fractional vegetation cover
/ Gravity
/ Internet
/ issues and policy
/ Land use
/ Monitoring/Environmental Analysis
/ Natural resources
/ Plant cover
/ Population density
/ Regional planning
/ Remote sensing
/ Restoration strategies
/ Soil
/ Soil types
/ Soils
/ Sustainability
/ Sustainability management
/ Sustainable Development
/ Temporal variations
/ Time series
/ Trend analysis
/ Trends
/ Vegetation
/ Vegetation changes
/ Vegetation cover
/ Vegetation effects
2023
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Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE
Journal Article
Spatial and temporal variations of vegetation cover and its influencing factors in Shandong Province based on GEE
2023
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Overview
Economic development has rapidly progressed since the implementation of reform and opening up policies, posing significant challenges to sustainable development, especially to vegetation, which plays a crucial role in maintaining ecosystem service functions and promoting green low-carbon transformations. In this study, we estimated the fractional vegetation cover (FVC) in Shandong Province from 2000 to 2020 using the Google Earth Engine (GEE) platform. The spatial and temporal changes in FVC were analyzed using gravity center migration analysis, trend analysis, and geographic detector, and the vegetation changes of different land use types were analyzed to reveal the internal driving mechanism of FVC changes. Our results indicate that vegetation cover in Shandong Province was in good condition during the period 2000 to 2020. The high vegetation cover classes dominated, and overall changes were relatively small, with the center of gravity of vegetation cover generally shifting towards the southwest. Land use type, soil type, population density, and GDP factors had the most significant impact on vegetation cover change in Shandong Province. The interaction of these factors enhanced the effect on vegetation cover change, with land use type and soil type having the highest degree of influence. The observational results of this study can provide data support for the policy makers to formulate new ecological restoration strategies, and the findings would help facilitate the sustainability management of regional ecosystem and natural resource planning.
Publisher
Springer International Publishing,Springer Nature B.V
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