Faculty Biography

Florencia Sangermano

Florencia Sangermano, Ph.D.

Research Assistant Professor, Clark Labs
Adjunct Research Assistant Professor of Geography

Graduate School of Geography
Worcester, MA 01610-1477

Phone: (508) 849-2309
Email: fsangermano@clarku.edu

Curriculum Vitae

Website


Florencia is a Geographer who specializes in Conservation Biology, GIS, Remote Sensing and Landscape Ecology. Her research interests lie in the application of geospatial analysis and satellite remote sensing to evaluate changes in the earth system, and to assess their effect on ecosystems and biodiversity. She earned a B.Sc./M.Sc. equivalent (Licenciatura) in Biology from Universidad Nacional de Mar del Plata, Argentina, where she worked in the field of Geoecology; and an M.A. and Ph.D in Geography from Clark University. Recent research has focused on the impact of land cover change on biodiversity in the Bolivian Amazon as well as the analysis of biodiversity offsets in Panama and the Dominican Republic.

Courses Offered

GEOG 190/310: Introduction to GIS
GEOG 336: Wildlife Conservation GIS Seminar

Publications

J. R Eastman*, Sangermano F.*, Machado-Machado E A.*, Rogan J., and Anyamba A. (2013) Global Trends in Seasonality of NDVI, 1982-2011.  Remote Sensing – In press

Sangermano F., Toledano J., Eastman, J.R. (2012) Land cover change in the Bolivian Amazon and its implications for REDD+ and Endemic Biodiversity. Landscape Ecology. DOI : 10.1007/s10980-012-9710-y

Sangermano F. and Eastman J.R. (2012). A GIS framework for the refinement of species geographic Ranges. International Journal of GIS. 26 (1): 39-55

Schmook B., Dickson R.P., Sangermano F., Vadjunec J., Eastman J.R. and Rogan J. A. (2011) Step-Wise Land Cover Classification of the Tropical Forests of the Southern Yucatán, Mexico. International Journal of Remote Sensing. 32(4): 1139-1164.

Khatchikian C.*, Sangermano F.*, Kendell D. and Livdhal T. (2010). Evaluation of Species distribution model algorithms for fine-scale container breeding mosquito risk prediction. Medical and Veterinary Entomology. 25(3): 268-275

Sangermano F., Eastman, J.R., and  Zhu H.  (2010) Similarity weighted instance based learning for the generation of transition potentials in land change modeling. Transactions in GIS. 14(5): 569-580.

Eastman, J.R., Sangermano F., Ghimire B.,  Zhu H.,  Chen H., Neeti N., Cai Y., Machado E.A. and Crema S.C. 2009. Seasonal Trend Analysis of Image Time Series. International Journal of Remote Sensing 30(10): 2721-2726.

Lippit C.D., Rogan J., Toledano J., Sangermano F., Mastro V. and Sawyer A. 2008. Incorporating Human Interaction Variables in a Non-parametric Decision Support System to Predict Gypsy Moth Outbreak. Ecological Modelling 210(3): 339-350.

Vester, H. F. M., Lawrence, D., Eastman, J. R., Turner, B. L. II, Calme, S., Dickson, R., Pozo, C., Sangermano, F.2007. Land Change in the Southern Yucatán and Calakmul Biosphere Reserve: Implications for Habitat and Biodiversity. Ecological Applications 17:989–100.