Data · dataset · 2025
Colombia Environmental and Socioeconomic Satellite Dataset (2016–2021)
Listed in Teesside University Research Data Repository
This dataset compiles a rich set of environmental, climatic, and socioeconomic indicators for Colombian municipalities spanning the years 2016–2021.
Description
The data combine multiple satellite-based and administrative sources, enabling spatially explicit analyses of environmental and economic dynamics across the country. The dataset includes the following main variables: PM2.5 concentration (log): Logarithm of the annual mean concentration (µg/m³) of particulate matter smaller than 2.5 micrometers, derived from global atmospheric reanalysis models as described by Morcrette et al. (2009) and Benedetti et al. (2009).
SO₄ concentration (log): Logarithm of the annual mean concentration (µg/m³) of sulfate aerosols, calculated from the NASA Global Modeling and Assimilation Office (GMAO, 2015) datasets. Total value added (log): Logarithm of the total municipal value added, obtained from the Colombian National Administrative Department of Statistics (DANE, 2025). Sum of Nighttime Lights (log): Logarithm of the annual sum of VIIRS Version 2 Nighttime Lights (NTL), used as a proxy for economic activity and urban development (Elvidge et al., 2021).
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Mean of Nighttime Lights (log): Logarithm of the annual mean VIIRS V.2 NTL, reflecting average light intensity within each municipality (Elvidge et al., 2021). Precipitation (log): Logarithm of total annual precipitation, obtained from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS; Funk et al., 2015). Temperature (log): Logarithm of the annual mean land surface temperature, derived from the MODIS Land Surface Temperature and Emissivity dataset (Wan et al., 2021).
Dense vegetation area (log): Logarithm of the proportion of municipal area covered by dense vegetation, estimated using the Normalized Difference Vegetation Index (NDVI) following the approach of Sulla-Menashe and Friedl (2022). Burned area (log): Logarithm of the total municipal area affected by fire during each year, based on MODIS Terra Thermal Anomalies and Fire products (Giglio et al., 2021). Altitude (log): Logarithm of mean municipal elevation (meters above sea level), obtained from topographic datasets compiled by Universidad de los Andes.
Population density (log): Logarithm of population density (inhabitants per km²), also sourced from Universidad de los Andes. Education expenditures (log): Logarithm of total central government transfers for education at the municipal level, based on administrative records compiled by Universidad de los Andes.
Links
Where it is published
- DOI doi.org/10.17632/kd6tjgy9y8.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Economics & Finance
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/kd6tjgy9y8.1 | 14 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |