Time-series dataset on land surface temperature, vegetation, built up areas and other climatic factors in top 20 global cities (2000–2018)

Time-series datasets of Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI), Normalized Difference Built Index (NDBI) and other climatic factors are of significance due to their application in tracking climate change in cities. In this paper, new data processing methods are...

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Detalles Bibliográficos
Autores principales: Jamei, Yashar, Rajagopalan, Priyadarsini, Sun, Qian Chayn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Social Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660608/
https://www.ncbi.nlm.nih.gov/pubmed/31372448
http://dx.doi.org/10.1016/j.dib.2019.103803

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6660608/
https://www.ncbi.nlm.nih.gov/pubmed/31372448
http://dx.doi.org/10.1016/j.dib.2019.103803

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