Determining the impacts of climate change and urban expansion on net primary productivity using the spatio-temporal fusion of remote sensing data

Determining the impacts of climate change and urban expansion on net primary productivity using the spatio-temporal fusion of remote sensing data

Climate change (CLC) and urban expansion (URE) have profoundly altered the terrestrial net primary productivity (NPP). Many studies have determined the effects of CLC and URE on the NPP. However, these studies were conducted at low resolutions (250–1000 m), making it difficult to detect many smaller...

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Bibliographic Details
Main Authors: Wen, Y. (Author), Wu, C. (Author), Yan, Y. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
accuracy assessment
Beijing [China]
China
climate change
Climate change
Ecosystems
Expansion
Fusion model
Indicator indicator
Irrigation
LANDSAT
Moderate-resolution imaging spectroradiometers
MODIS
NDVI
net primary production
Net primary productivity
Normalized difference vegetation index
Photosynthesis
Phytoplankton
Radiometers
remote sensing
Remote sensing
Remote-sensing
solar radiation
spatiotemporal analysis
Spatio-temporal fusion
Spatio-temporal fusions
Spatio-temporal resolution
Temporal adaptive
urban area
Urban expansion
urban planning
Vegetation
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