Publications

Publications: Journal Articles, Refereed

+ Ph.D Student Author, ++ M.S./M.A. Student author, +++ B.A. Student Author, * Equal contribution,  # Fulbright.

1.    Ip YCA, Montemartini L., Chang JJM, Desiderato A., Franco-Sierra ND, Geckeler C, Gonzalez Herrera MA., Gregorini M, Jucker M, Kirchgeorg S, Lüthi M, Bendix Thostrup F, Murari G, Mura M, Pulido Santacruz P, Sangermano F, Schindler T, Melvad C, Mintchev S, Deiner K. Real-time Malaria Detection in the Amazon Rainforest via Drone-Collected eDNA and Portable qPCR. bioRxiv 2025.06.16.660023; doi: https://doi.org/10.1101/2025.06.16.660023

2.    Martin M.E., Stein M, Sangermano F., and Estallo EL. 2025. Ecological Niche Models of Aedes aegypti and Aedes albopictus in Northeast Argentina. EcoHealth. 10.1007/s10393-025-01721-1

3. Geckeler, C., Kirchgeorg, S., Strunck, G., Thostrup, F.B., Sangermano, F., Desiderato, A., Lüthi, M., Jucker, M., Herrera, M.A.G., Franco-Sierra, N.D. and Pulido-Santacruz, P., 2025. Field Deployment of BiodivX Drones in the Amazon Rainforest for Biodiversity Monitoring. IEEE Transactions on Field Robotics. 10.1109/TFR.2025.3574945

4. Zhang A.+, Pontius Jr. R.G., Bilintoh T.M., Sangermano F. Rogan J. 2025. Introducing DynamicPATCH: Spatially Explicit Dynamic Patch Transition Characterization. Landscape Ecology (in press)

5.    Sayre R., Frye C., Breyer S., Patrick R. Roehrdanz P.R., Elsen P.R., Butler K., Brown C., Cress J., Karagulle D., Martin M., Sangermano F., Smyth R.L, Sohl T.L.,  Wolff N.H., Wright D.J., and Wu Z. 2025. Potential 2050 Distributions of World Terrestrial Ecosystems from Projections of Changes in World Climate Regions and Global Land Cover. Global Ecology and Conservation.

6. Prist P., Sangermano F., Bailey A. , Bugni V., Villalobos-Segura M., Pimiento-Quiroga N. , Daszak P., Zambrana-Torrelio C. 2023. Protecting Brazilian Amazon Indigenous territories reduces atmospheric particulates and avoids associated health impacts and costs. Communications Earth & Environment  4, 34. IF: 7.290

7. Sangermano F. 2022. Acoustic diversity of forested landscapes: Relationships to habitat structure and anthropogenic pressure. Landscape and Urban Planning 226, 104508. IF:5.144

8.    Guz J.+, Sangermano F., and Kulakowski D. 2022.  The Influence of Burn Severity on Post-Fire Spectral Recovery of Three Fires in the Southern Rocky Mountains. Remote Sensing. 14(6), 1363. IF: 4.509

9.    Himmelberger, A.+++, Frey KE and Sangermano F. 2022. Investigating the fragmentation of Pacific walrus sea-ice habitat in the St. Lawrence Island and Wainwright Regions of the Bering and Chukchi Seas (Alaska) using Landsat satellite data. Polar Research. 41, 10-33265. IF: 1.141

10.  Pagan A++, Rogan J, Schmook B, Christman Z, and Sangermano F. 2021. Understanding agricultural fire dynamics in the southern Yucatán Peninsular Region using the MODIS (C6) active fire product, Remote Sensing Letters, 12:7, 715-726. IF: 2.369

11.  Sangermano F., Pontius Jr R.G., Chaitman J. +++, and Meneghini A++. 2021. Linking land change model evaluation to model objective for the assessment of land cover change impacts on biodiversity. Landscape Ecology 36(9), 2707-2723. IF: 5.587

12.  Elmes A.+, Healy M.+, Geron N. +, Andrews M. +++, Rogan J., Martin D., Sangermano F., Williams C., and Weil B. 2020. Mapping land surface temperature variability across the urban gradient in Worcester, Massachusetts using in-situ thermochrons and Landsat-8 Thermal Infrared Sensor (TIRS) data. GIScience & Remote Sensing. 57 (7): 845-864. IF: 6.397

13.  Markham, K.E.++ and Sangermano, F., 2018. Evaluating Wildlife Vulnerability to Mercury Pollution From Artisanal and Small-Scale Gold Mining in Madre de Dios, Peru. Tropical Conservation Science, 11, p.1940082918794320. iF: 2.238

14.  Estallo, E.L.#, Sangermano, F., Grech, M., Ludueña‐Almeida, F., Frías‐Cespedes, M., Ainete, M., Almirón, W. and Livdahl, T., 2018. Modelling the distribution of the vector Aedes aegypti in a central Argentine city. Medical and veterinary entomology (4):451-461. IF: 2.479

15.  Ye, S.+, Rogan, J. and Sangermano, F. 2018. Monitoring rubber plantation expansion using Landsat data time series and a Shapelet-based approach. ISPRS Journal of Photogrammetry and Remote Sensing, 136, pp.134-143. IF: 11.77

16.  Gill N.+, Sangermano F., Burma B. and Kulakowski D. 2017. Populus tremuloides seedling establishment: an underexplored vector for forest type conversion after multiple disturbances. Forest Ecology and Management 404: 156–164. IF: 4.384

17.  Osipova L.++ and Sangermano F.  2016.  Surrogate Species Protection in Bolivia under Climate and Land Cover Change Scenarios. Journal for Nature Conservation  34:107-117. IF: 2.575

18.  Gill N.S.+ and Sangermano F. 2016. Africanized honeybee habitat suitability: a comparison between models for southern Utah and southern California. Applied Geography 76: 14-21. IF: 4.24

19.  Shatz A.J.++, Rogan J., Sangermano F., Miller J. 2016. Modeling the risk of spread and establishment for Asian Longhorned Beetle (Anoplophora glabripennis) in Massachusetts from 2008-2009. Geocarto International. 31(8):813-31. IF: 3.45

20.  Sangermano F., Bol L., Galvis P., Gullison T., Hardner J., and Ross G. 2015. Habitat suitability and protection status of four species of amphibians in the Dominican Republic. Applied Geography 63:55-65. IF: 4.24

21.  Sangermano F., Bol L., Galvis P., Gullison T., Hardner J., and Ross G. 2015. Forest baseline and deforestation map of the Dominican Republic through the analysis of time series of MODIS data. Data in Brief. 10.1016/j.dib.2015.06.006. IF: 1.133

22.  Shatz A.J.+++, Rogan J., Sangermano F., Ogneva-Himmelberger Y., and Chen H. 2013. Characterizing the potential distribution of the invasive Asian Longhorned Beetle (Anoplophora glabripennis) in Worcester County, Massachusetts. Applied Geography 45:259-268. IF: 4.24

23.  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 5(10):4799-4818

24.  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 27(4): 571-584 . IF: 4.509

25.  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. IF: 3.545

26.  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. IF: 3.151

27.  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. IF: 2.55

28.  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. IF: 2.568

29.  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. IF: 3151

30.  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. iF: 2.363

31.  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. c 17:989–100. iF: 6.105

Publications: book, chapters, reports, non-refereed.

1.    Warner T.A., Campagna D.J. and Sangermano F. 2021. Remote Sensing with TerrSet 2020: A Beginners Guide. Kindle Edition.

2.    Warner T.A., Campagna D.J. and Sangermano F. 2017. Remote Sensing with TerrSet/ IDRISI: A Beginners Guide. Geocarto International Centre.

3.    Contributor to Working Group 7: In situ / Remote-Sensing Integration through Modelling. Group on Earth Observations Biodiversity Observation Network (GEO BON) Detailed Implementation Plan. May 2010.

http://www.earthobservations.org/documents/cop/bi_geobon/geobon_detailed_imp_plan.pdf

4.    Sangermano, F. 2009. Inferential Monitoring of Global Change Impact on Biodiversity through Remote Sensing and Species Distribution Modeling. Ph.D. Dissertation. Clark University, Worcester, MA.

5.    Toledano J., Eastman J.R., Sangermano F. and Killeen T. 2008. GIS Helps Gauge Land Change Effects on the Nation's Endemic Biodiversity: Conserving Bolivia's Critical Resources. ArcNews Magazine. Spring 2008.

http://www.esri.com/news/arcnews/spring08articles/conserving-bolivias.html

--Reprinted in GIS Best Practices: GIS for Climate change. November 2008. ESRI Press. http://www.esri.com/library/bestpractices/climate-change.pdf

--Reprinted in GIS Best Practices: Forest Carbon Management. December 2009. ESRI Press. http://www.esri.com/library/bestpractices/forest-carbon-management.pdf

6.    Eastman J.R. and Sangermano F. 2008. Spatial Priors Ease Classification of Tropical Dry Forest. Earth Imaging Journal. July/August 2008. 32-34.

7.    Eastman, J.R., Sangermano, F., 2005. Application of spatial priors in the maximum likelihood classification of tropical dry forest classes. Clark Labs News. Summer 2005 http://www.clarklabs.org/Summer2005.asp?cat=5&subcat=1

8.    Sangermano, F. 2002. Efecto de diferentes coberturas vegetales en el desarrollo de suelos sobre dunas costeras en el Vivero Florentino Ameghino. Tesis de Licenciatura. Universidad Nacional de Mar del Plata, Argentina. (BSc./MSc. Thesis: Impact of different forest cover on sand dune soil development)