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Bibliographic Details
Main Authors: Calbi, Mariasole, Clerici, Nicola
Format: Dataset Open Access
Language:en
Published: PANGAEA 2021
Subjects:
Online Access:https://doi.org/10.1594/PANGAEA.932909
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author Calbi, Mariasole
Clerici, Nicola
author_facet Calbi, Mariasole
Clerici, Nicola
collection Datos científicos de ciencias marinas y ambientales
contents To unveil the long-term dynamics of peri-urban high Andean forest cover, and provide valuable information on historical vegetation changes in a highly dynamic landscape, we gathered and analyzed aerial imagery spanning the years 1940 to 2007 from nine administrative localities in the Eastern Andean Cordillera of Colombia. The aerial images were obtained from the Colombian Geographical Institute Agustín Codazzi (IGAC) where they were scanned in high resolution. Subsequently the images were georeferenced in two consecutive steps using QGIS 2.18, using the thin plate spline as a transformation method for data interpolation, since it led to the highest precision among all the methods tested (first and second order polynomials).
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_932909
institution PANGAEA
language en
publishDate 2021
publisher PANGAEA
record_format pangaea
spellingShingle Aerial images dataset for Reconstructing Long Term High Andean Forest Dynamics Using Historical Aerial Imagery: A Case Study in Colombia
Calbi, Mariasole
Clerici, Nicola
aerial imagery; altiplano cundiboyacense; Andes; Binary Object; Binary Object (File Size); Binary Object (Media Type); Central_Andes; ColBioDiv; Colombia; Integrated Biodiversity Management in Exemplar Regions of Colombia
To unveil the long-term dynamics of peri-urban high Andean forest cover, and provide valuable information on historical vegetation changes in a highly dynamic landscape, we gathered and analyzed aerial imagery spanning the years 1940 to 2007 from nine administrative localities in the Eastern Andean Cordillera of Colombia. The aerial images were obtained from the Colombian Geographical Institute Agustín Codazzi (IGAC) where they were scanned in high resolution. Subsequently the images were georeferenced in two consecutive steps using QGIS 2.18, using the thin plate spline as a transformation method for data interpolation, since it led to the highest precision among all the methods tested (first and second order polynomials).
title Aerial images dataset for Reconstructing Long Term High Andean Forest Dynamics Using Historical Aerial Imagery: A Case Study in Colombia
topic aerial imagery; altiplano cundiboyacense; Andes; Binary Object; Binary Object (File Size); Binary Object (Media Type); Central_Andes; ColBioDiv; Colombia; Integrated Biodiversity Management in Exemplar Regions of Colombia
url https://doi.org/10.1594/PANGAEA.932909