{"id":{"repo_id":"freiburg-diss","oai_identifier":"oai:freidok.uni-freiburg.de:752"},"canonical_url":"https://search.dev.ndltd.org/etd/freiburg-diss/oai:freidok.uni-freiburg.de:752","repository":{"repo_id":"freiburg-diss","name":"University of Freiburg","base_url":"https://freidok.uni-freiburg.de/oai/oai2.php"},"display":{"title":"Classification and modeling of trees outside forest in Central American landscapes by combining remotely sensed data and GIS","abstract":"The present research was conceived and developed within the framework of the 'Tree Resources Outside the Forest' (TROF) project funded by the European Commission (Project number ERB3514PL973202). Most of the raw data was provided for this research initiative and some of the results obtained in the project were used with the consent of the authors.
Study sites are located in Costa Rica and Honduras, both covering an area of 199,600ha. Both areas are covered by an IRS 1-D panchromatic image with 5.8m spatial resolution. In the case of Costa Rica, a smaller area of 127,500ha was also selected for investigation. Twenty-three scanned aerial photos cover this area.
For the purposes of this study, TOF comprises as all trees outside the legal forest borders comprising an area < 2ha. In this research, an algorithm was developed for TOF extraction on digital aerial photos in a study area located in Costa Rica. Furthermore, the effect of the biophysical and spatial covariables on the spatial distribution of TOF in the two study sites selected. The effects of the spatial resolution at which TOF was extracted, the effect of TOF absence event, and covariables scale on factors affecting TOF spatial distribution were also assessed.","abstract_html":"The present research was conceived and developed within the framework of the 'Tree Resources Outside the Forest' (TROF) project funded by the European Commission (Project number ERB3514PL973202). Most of the raw data was provided for this research initiative and some of the results obtained in the project were used with the consent of the authors. <br>Study sites are located in Costa Rica and Honduras, both covering an area of 199,600ha. Both areas are covered by an IRS 1-D panchromatic image with 5.8m spatial resolution. In the case of Costa Rica, a smaller area of 127,500ha was also selected for investigation. Twenty-three scanned aerial photos cover this area. <br>For the purposes of this study, TOF comprises as all trees outside the legal forest borders comprising an area < 2ha. In this research, an algorithm was developed for TOF extraction on digital aerial photos in a study area located in Costa Rica. Furthermore, the effect of the biophysical and spatial covariables on the spatial distribution of TOF in the two study sites selected. The effects of the spatial resolution at which TOF was extracted, the effect of TOF absence event, and covariables scale on factors affecting TOF spatial distribution were also assessed.","abstract_has_math":false,"creators":["Herrera-Fernandez, Bernal"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Koch, Barbara"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T02:21:58Z","subjects":["GIS","Logistic regression","tropcial forestry","agroforestry"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://freidok.uni-freiburg.de/data/752","outbound_label":"Repository record","outbound_source":"source_url"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Koch, Barbara"]},{"key":"dc:creator","label":"Author","values":["Herrera-Fernandez, Bernal"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:type","label":"Dc Type","values":["DoctoralThesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["GIS","Logistic regression","tropcial forestry","agroforestry"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The present research was conceived and developed within the framework of the 'Tree Resources Outside the Forest' (TROF) project funded by the European Commission (Project number ERB3514PL973202). Most of the raw data was provided for this research initiative and some of the results obtained in the project were used with the consent of the authors.
Study sites are located in Costa Rica and Honduras, both covering an area of 199,600ha. Both areas are covered by an IRS 1-D panchromatic image with 5.8m spatial resolution. In the case of Costa Rica, a smaller area of 127,500ha was also selected for investigation. Twenty-three scanned aerial photos cover this area.
For the purposes of this study, TOF comprises as all trees outside the legal forest borders comprising an area < 2ha. In this research, an algorithm was developed for TOF extraction on digital aerial photos in a study area located in Costa Rica. Furthermore, the effect of the biophysical and spatial covariables on the spatial distribution of TOF in the two study sites selected. The effects of the spatial resolution at which TOF was extracted, the effect of TOF absence event, and covariables scale on factors affecting TOF spatial distribution were also assessed."]},{"key":"dc:format.medium","label":"Dc Format Medium","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Classification and modeling of trees outside forest in Central American landscapes by combining remotely sensed data and GIS","Klassifizierung und Modellierung von Bäume ausserhalb des Waldes in Zentralamerika durch Kombination von Fernerkundung und GIS"]}]}],"canonical_facts":{"dc:contributor":["Koch, Barbara"],"dc:creator":["Herrera-Fernandez, Bernal"],"dc:description.abstract":["The present research was conceived and developed within the framework of the 'Tree Resources Outside the Forest' (TROF) project funded by the European Commission (Project number ERB3514PL973202). Most of the raw data was provided for this research initiative and some of the results obtained in the project were used with the consent of the authors.
Study sites are located in Costa Rica and Honduras, both covering an area of 199,600ha. Both areas are covered by an IRS 1-D panchromatic image with 5.8m spatial resolution. In the case of Costa Rica, a smaller area of 127,500ha was also selected for investigation. Twenty-three scanned aerial photos cover this area.
For the purposes of this study, TOF comprises as all trees outside the legal forest borders comprising an area < 2ha. In this research, an algorithm was developed for TOF extraction on digital aerial photos in a study area located in Costa Rica. Furthermore, the effect of the biophysical and spatial covariables on the spatial distribution of TOF in the two study sites selected. The effects of the spatial resolution at which TOF was extracted, the effect of TOF absence event, and covariables scale on factors affecting TOF spatial distribution were also assessed."],"dc:format.medium":["application/pdf"],"dc:subject":["GIS","Logistic regression","tropcial forestry","agroforestry"],"dc:title":["Classification and modeling of trees outside forest in Central American landscapes by combining remotely sensed data and GIS","Klassifizierung und Modellierung von Bäume ausserhalb des Waldes in Zentralamerika durch Kombination von Fernerkundung und GIS"],"dc:type":["DoctoralThesis"]},"updated_at":"2026-07-24T02:21:58Z"}