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Potential and Limitations of Multi-Temporal Earth Observation Data to Improve Modeled Results of Tree Species Distribution in Mexico

Cord, Anna and Schmidt, Michael and Dech, Stefan (2009) Potential and Limitations of Multi-Temporal Earth Observation Data to Improve Modeled Results of Tree Species Distribution in Mexico. In: Proceedings of the 33rd Symposium on remote Sensing of Environment (ISRSE), pp. 1-4. 33rd International Symposium on Remote Sensing of the Environment, 4.-8. Mai 2009, Stresa, Italien.

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Abstract

The study explored the potential of multi-temporal remote sensing data for distribution modeling of selected tree species belonging to the genera Pinus spp. (pine) and Quercus spp. (white oak) in Mexico. Several environmental predictor data sets at 1 km2 spatial resolution were used in combination with the Maxent algorithm (Phillips et al., 2004), namely (1) phenological metrics derived from the Terra-MODIS 16-day vegetation indices product MOD13A2 averaged over the seven years of the study period from 2001 to 2007, (2) topographic data (elevation, slope, and aspect) of the SRTM mission, and (3) a series of bioclimatic variables (WorldClim, Hijmans et al., 2005) derived from monthly temperature and rainfall values. Different model scenarios were compared and showed that remote sensing data contributed significantly to discover habitat characteristics even within similar climatic conditions. Moreover, a sharper delineation of the predicted areas and better exclusion of regions that had suffered land cover change was possible. The improved distribution maps can contribute to long-term and sustainable conservation planning and management of biodiversity hotspots.

Document Type:Conference or Workshop Item (Speech)
Title:Potential and Limitations of Multi-Temporal Earth Observation Data to Improve Modeled Results of Tree Species Distribution in Mexico
Authors:
AuthorsInstitution or Email of Authors
Cord, Annaanna.cord@dlr.de
Schmidt, Michaelmichael.schmidt@conabio.gob.mx
Dech, Stefanstefan.dech@dlr.de
Date:May 2009
Journal or Publication Title:Proceedings of the 33rd Symposium on remote Sensing of Environment (ISRSE)
Refereed publication:No
In ISI Web of Science:No
Page Range:pp. 1-4
Status:Published
Keywords:MODIS, vegetation phenology, time series, species distribution modeling, maximum entropy, Mexico
Event Title:33rd International Symposium on Remote Sensing of the Environment
Event Location:Stresa, Italien
Event Type:international Conference
Event Dates:4.-8. Mai 2009
Organizer:JRC
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 Prozesse der Landoberfläche (old), W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Anna Cord
Deposited On:14 Jun 2010 11:33
Last Modified:12 Dec 2013 20:44

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