<?xml version="1.0" encoding="UTF-8"?><!--*** Generated from internal PANGAEA metadata schema by dif.xslt ***--><DIF xsi:schemaLocation="http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/ http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/dif_v9.4.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://gcmd.gsfc.nasa.gov/Aboutus/xml/dif/">
<Entry_ID>PANGAEA_932909</Entry_ID>
<Entry_Title>Aerial images dataset for Reconstructing Long Term High Andean Forest Dynamics Using Historical Aerial Imagery: A Case Study in Colombia</Entry_Title>
<Data_Set_Citation>
<Dataset_Creator>Calbi, Mariasole; Clerici, Nicola</Dataset_Creator>
<Dataset_Title>Aerial images dataset for Reconstructing Long Term High Andean Forest Dynamics Using Historical Aerial Imagery: A Case Study in Colombia</Dataset_Title>
<Dataset_Release_Date>2021-06-22</Dataset_Release_Date>
<Dataset_Publisher>PANGAEA</Dataset_Publisher>
<Data_Presentation_Form>Dataset</Data_Presentation_Form>
<Online_Resource>https://doi.pangaea.de/10.1594/PANGAEA.932909</Online_Resource>
</Data_Set_Citation>
<Personnel>
<Role>Investigator</Role>
<First_Name>Mariasole</First_Name>
<Last_Name>Calbi</Last_Name>
<Email>m.calbi@bgbm.org</Email>
</Personnel>
<Discipline>
<Discipline_Name>Earth Science</Discipline_Name>
</Discipline>
<Parameters>
<Detailed_Variable>Binary Object</Detailed_Variable>
</Parameters>
<Parameters>
<Detailed_Variable>Binary Object (Media Type)</Detailed_Variable>
</Parameters>
<Parameters>
<Detailed_Variable>Binary Object (File Size)</Detailed_Variable>
</Parameters>
<ISO_Topic_Category>geoscientificInformation</ISO_Topic_Category>
<Keyword>aerial imagery</Keyword>
<Keyword>altiplano cundiboyacense</Keyword>
<Keyword>Central_Andes</Keyword>
<Keyword>Colombia</Keyword>
<Data_Set_Progress>Complete</Data_Set_Progress>
<Spatial_Coverage>
<Southernmost_Latitude>-20.0</Southernmost_Latitude>
<Northernmost_Latitude>-20.0</Northernmost_Latitude>
<Westernmost_Longitude>-65.0</Westernmost_Longitude>
<Easternmost_Longitude>-65.0</Easternmost_Longitude>
</Spatial_Coverage>
<Project>
<Short_Name>ColBioDiv</Short_Name>
<Long_Name>Integrated Biodiversity Management in Exemplar Regions of Colombia</Long_Name>
</Project>
<Access_Constraints>unrestricted</Access_Constraints>
<Use_Constraints>CC-BY-4.0: Creative Commons Attribution 4.0 International</Use_Constraints>
<Data_Set_Language>English</Data_Set_Language>
<Data_Center>
<Data_Center_Name>
<Short_Name>PANGAEA</Short_Name>
<Long_Name>Data Publisher for Earth &amp; Environmental Science</Long_Name>
</Data_Center_Name>
<Data_Center_URL>https://www.pangaea.de/</Data_Center_URL>
<Personnel>
<Role>Data Center Contact</Role>
<First_Name>Michael</First_Name>
<Last_Name>Diepenbroek</Last_Name>
<Email>info@pangaea.de</Email>
<Contact_Address>
<Address>Leobener Str.</Address>
<City>Bremen</City>
<Province_or_State>Bremen</Province_or_State>
<Postal_Code>28359</Postal_Code>
<Country>Germany</Country>
</Contact_Address>
</Personnel>
</Data_Center>
<Distribution>
<Distribution_Media>online</Distribution_Media>
<Distribution_Size>41 data points</Distribution_Size>
<Distribution_Format>text/tab-separated-values</Distribution_Format>
</Distribution>
<Reference>Calbi, Mariasole; Clerici, Nicola; Thomas, Borsch; Brokamp, Grischa (2020): Reconstructing Long Term High Andean Forest Dynamics Using Historical Aerial Imagery: A Case Study in Colombia. Forests, 11(8), 788, https://doi.org/10.3390/f11080788</Reference>
<Summary>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). ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.932909"!</Summary>
<Related_URL>
<URL>https://doi.org/10.3390/f11080788</URL>
<Description>Reconstructing Long Term High Andean Forest Dynamics Using Historical Aerial Imagery: A Case Study in Colombia</Description>
</Related_URL>
<Related_URL>
<URL>https://www.geo.fu-berlin.de/en/geog/fachrichtungen/physgeog/forschung/Integrated-Biodiversity-Management-in-Exemplar-Regions-of-Colombia-_ColBioDiv_/index.html</URL>
<Description>ColBioDiv</Description>
</Related_URL>
<Metadata_Name>DIF</Metadata_Name>
<Metadata_Version>9.4</Metadata_Version>
<DIF_Creation_Date>2021-06-22</DIF_Creation_Date>
<Last_DIF_Revision_Date>2026-04-30</Last_DIF_Revision_Date>
</DIF>
