Dataset
Normalized Difference Vegetation Index (NDVI) for Bogota, Colombia, 2000-2022
2025
Abstract
This dataset is part of the ESCALA (Study of Urban Health and Climate Change in Informal Settlements in Latin America) project that was funded by the Lacuna Fund of the Meridian Institute https://lacunafund.org/.
This dataset contains NDVI (normalized difference vegetation index), an indicator of vegetation health, which is calculated from the reflectance of red and infrared light from the earth's surface. This variable is represented by raster layers and has a range of values from -1 to 1 where higher values represent denser, healthier vegetation. Satellite imagery was processed in Google Earth Engine as follows. Images from the
Landsat 5, 6, 7, 8, and 9 collections were selected for the period of interest (2000-01-01 to 2022-12-31) with a maximum cloud cover of 20%. For each image, reflectance values were calculated using scaling parameters from the product guide and a cloud and shadow mask was applied. NDVI was then calculated from the Red and NIR bands and cropped to the urban perimeter area. The dataset consists of 119 raster images where each pixel (30 m spatial resolution) has a NDVI value for a specific date.
Metrics
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Details
- Title
- Normalized Difference Vegetation Index (NDVI) for Bogota, Colombia, 2000-2022
- Creators
- Alex Quistberg - Drexel UniversityOlga Lucia Sarmiento - Universidad de Los AndesNatalia Hoyos Botero - Universidad del Norte
- Publisher
- Harvard Dataverse
- Grant note
- 0000000049 / Lacuna Fund
- Resource Type
- Dataset
- Language
- English
- Academic Unit
- Urban Health Collaborative; Environmental and Occupational Health
- Other Identifier
- 991022028136704721