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Species Distribution and Forest Type Mapping in Mexico

Cord, Anna and Colditz, Rene and Schmidt, Michael and Dech, Stefan (2009) Species Distribution and Forest Type Mapping in Mexico. In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1-4. IEEE International Geoscience & Remote Sensing Symposium (IGARSS), 12.-17. Juli 2009, Kapstadt, Südafrika. ISBN 978 1 4244 3395 7.

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The study analyzed the potential of multi-temporal satellite remote sensing data (Terra-MODIS) for phenological studies in Mexico. Within two conceptually and methodologically independent approaches, we analyzed vegetation index data to continuously predict species’ occurrence and linked these predictions to a satellite data based land cover map of Mexico. Phenological metrics derived from interpolated MODIS EVI time series together with topographic data of the SRTM mission and bioclimatic variables (WorldClim) were used as environmental predictors for Maxent distribution modeling of six Quercus species. We evaluated model performance based on 20 % independent occurrence data using model sensitivity, model specificity, and AUC statistics. Forest classes were extracted from a recently accomplished national land cover map of Mexico (NALCMS) with approximate accuracy of 82 %. We found a remarkable spatial agreement of modeled Quercus distribution and forest classes. The value-added combination of both approaches allows for improved vegetation maps and the methodology has a great potential of transferability.

Document Type:Conference or Workshop Item (Speech)
Title:Species Distribution and Forest Type Mapping in Mexico
AuthorsInstitution or Email of Authors
Cord, Annaanna.cord@uni-wuerzburg.de
Colditz, Renerene.colditz@conabio.gob.mx
Schmidt, Michaelmichael.schmidt@conabio.gob.mx
Dech, Stefanstefan.dech@dlr.de
Date:August 2009
Journal or Publication Title:Proceedings of the IEEE International Geoscience and Remote Sensing Symposium
Refereed publication:No
In ISI Web of Science:No
Page Range:pp. 1-4
ISBN:978 1 4244 3395 7
Keywords:Multi-temporal analysis, time series, MODIS, phenology, land cover classification, species distribution modeling, Maxent
Event Title:IEEE International Geoscience & Remote Sensing Symposium (IGARSS)
Event Location:Kapstadt, Südafrika
Event Type:international Conference
Event Dates:12.-17. Juli 2009
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Anna Cord
Deposited On:27 Oct 2010 11:06
Last Modified:12 Dec 2013 20:44

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