Deutsch Intern
Earth Observation Research Cluster

Dr. Anna Cord

Employment at the department:

10/2007 - 03/2012

Research projects at the departement:

Dissertation in "Potential of multi-temporal Terra-MODIS data as environmental predictors for species distribution modeling in Mexico."

Publications at the departement

(list no longer maintained)

  • Modelling the Species Distribution of Flat-Headed Cats (Prionailurus planiceps), an Endangered South-East Asian Small Felid. Wilting, A.; Cord, A.; Hearn, A.; Hesse, D.; Mohamed, A.; Traeholdt, C.; Cheyne, S. M.; Sunarto, S.; Jayasilan, M.-A.; Ross, J.; Shapiro, A. C.; Sebastian, A.; Dech, S.; Breitenmoser, C.; Sanderson, J.; Duckworth, J. W.; Hofer, H.  in PLoS ONE (2010).  5(3)  e9612.
     
  • Standardized FAO-LCCS land cover mapping in heterogeneous tree savannas of West Africa. Cord, A.; Conrad, C.; Schmidt, M.; Dech, S.  in Journal of Arid Environments (2010).  74  1083-1091.

  • Analyzing Phenological Characteristics of Mexico with MODIS Time Series Products. Colditz, R. R.; Cord, A.; Conrad, C.; Mora, F.; Maeda, P.; Ressl, R.  (2009).
     
  • Inclusion of habitat availability in species distribution models through multi-temporal remote sensing data? Cord, A.; Rödder, D.  in Ecological Applications (2011).  (in press).
     
  • Land cover analysis on sub-continental scale: FAO LCCS standard with well-defined 250 meter MODIS satellite observations in West Africa. Machwitz, M.; Landmann, T.; Cord, A.; Conrad, C.; Dech, S.  (2008).
     
  • Potential and limitations of multi-temporal earth observation data to improve model results of tree species distribution in Mexico. Cord, A.; Schmidt, M.; Dech, S.  (2009).
     
  • Potential of multi-temporal remote sensing data for modeling tree species distributions and richness in Mexico. Technical Report (PhD dissertation),  Cord, A.  (2012).
     
  • Species Distribution and Forest Type Mapping in Mexico. Cord, A.; Colditz, R. R.; Schmidt, M.; Dech, S.  (2009).
     
  • Using the Land Cover Classification System (LCCS) for interoperable determination of land cover and land cover change in Africa. Landmann, T.; Machwitz, M.; Cord, A.; Hüttich, C.; Dech, S.  (2009).