Aerial images dataset for Reconstructing Long Term High Andean Forest Dynamics Using Historical Aerial Imagery: A Case Study in Colombia
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PANGAEA
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2021
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| _version_ | 1867169145968132096 |
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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 |