DOI: 10.5281/zenodo.17644250
title: Global Urban Rural Vegetation Dataset

description: Overview

This dataset supports the study "Global urban-rural contrasts in vegetation amount, subtype, and structure modulated by background climate and socioeconomic conditions."

It contains processed CSV files representing vegetation characteristics across 83,102 urban clusters globally. The data includes analysis of vegetation cover, structural metrics (LAI, Tree Height), and temporal trends from 1990 to 2020.

Data Sources

Land Cover: ESA WorldCover 2020 (10m), Landsat-based Global Land CoverStructure: Sentinel-2 (for LAI), Meta Canopy Height (1m)Climate/Socioeconomic: Koppen-Geiger climate classification, World Bank income groups (Global North/South)



Vegetation cover (ESA WorldCover)



urbanRural_VegBiomeKoppen_withLatLon_with_countries.csv

urbanRural_VegBiomeKoppen_withLatLon_with_countries_global_ns.csv


Leaf area index (LAI)



urbanRuralLAI_with_countries_veg.csv

urbanRuralLAI_with_countries_global_ns_veg.csv


Tree height (Meta canopy height)



urbanRural_TreesBiomeKoppen_withLatLon_with_countries.csv


Vegetation indices (NDVI & EVI)

EVI



urbanRural_EVIBiomeKoppen_withLatLon_with_countries_global_ns.csv

urbanRural_EVIBiomeKoppen_withLatLon_with_countries.csv


Country-level temporal EVI change between 1990 and 2020



urbanEVI_1990_perCountry.csv

urbanEVI_2020_perCountry.csv


NDVI



urbanRural_NDVIBiomeKoppen_withLatLon_with_countries_global_ns.csv

urbanRural_NDVIBiomeKoppen_withLatLon_with_countries.csv


Country-level temporal NDVI change between 1990 and 2020



urbanNDVI_1990_perCountry.csv

urbanNDVI_2020_perCountry.csv


Country-level temporal analysis: fixed urban extents (1990 & 2020)

Vegetation



vegUrban_1990_2020_constBuiltUp2020_100m.csv

vegUrban_1990_2020_constBuiltUp1992_100m.csv


Tree



treeUrban_1990_2020_constBuiltUp2020_100m.csv

treeUrban_1990_2020_constBuiltUp1992_100m.csv


Temporal change (1990 vs 2020)

Vegetation



vegUrban_2020_constBuiltUp2020_100m.csv

vegUrban_1990_constBuiltUp1992_100m.csv


Tree



treeUrban_2020_constBuiltUp2020_100m.csv

treeUrban_1990_constBuiltUp1992_100m.csv


Crop



croplandUrban_1990_constBuiltUp1990_100m.csv

croplandUrban_2020_constBuiltUp2020_100m.csv


Grass



grassUrban_1990_constBuiltUp1990_100m.csv

grassUrban_2020_constBuiltUp2020_100m.csv


Shrub



shrubUrban_1990_constBuiltUp1990_100m.csv

shrubUrban_2020_constBuiltUp2020_100m.csv


Temporal change: 5-Year increments

Vegetation



vegUrban1990.csv

vegUrban1995.csv

vegUrban2000.csv

vegUrban2005.csv

vegUrban2010.csv

vegUrban2015.csv

vegUrban2020.csv


Tree



treeUrban1990.csv

treeUrban1995.csv

treeUrban2000.csv

treeUrban2005.csv

treeUrban2010.csv

treeUrban2015.csv

treeUrban2020.csv


Climate zone analysis

Vegetation



urbanVegetationClimate_1990_2020_tropical.csv

urbanVegetationClimate_1992_2020_arid.csv

urbanVegetationClimate_1990_2020_continental.csv

urbanVegetationClimate_1990_2020_temperate_100m.csv


Tree



urbanTreeCover_1992_2020_tropical.csv

urbanTreeCover_1992_2020_continental.csv

urbanTreeCover_1992_2020_arid.csv

urbanTreeCover_1992_2020_temperate.csv



 

Code

Associated Google Earth Engine and Python code to generate these datasets and perform analysis as described in the paper: 

https://github.com/Rohit18/GlobalUrbanRuralVegetation v0.1-beta