Mapping the distribution of the main host for plague in a complex landscape in kazakhstan: An object-based approach using SPOT-5 XS, landsat 7 ETM+, SRTM and multiple random forests
Utrecht University, Department of Physical Geography, Heidelberglaan 2, PO Box 80115, 3508 TC Utrecht, Netherlands; Utrecht University, Faculty of Veterinary Medicine, Yalelaan 7, 3584 CL Utrecht, Netherlands; Stavropol Plague Control Research Institute, Sovetskaya 13-15, Stavropol 355035, Russian Federation; Anti-Plague Institute, M. Aikimbayev's Kazakh Science Centre for Quarantine and Zoonotic Diseases, 14 Kapalskaya Street, Almaty 050074, Kazakhstan; RMIT University, School of Mathematical and Geospatial Sciences, Melbourne, VIC 3000, Australia; University of Liverpool, Institute of Integrative Biology, Crown Street, Liverpool, United Kingdom; University of Antwerp, Department of Biology, Groenenborgerlaan 171, B-2020 Antwerpen, Belgium
Recommended Citation:
Wilschut L,I,, Addink E,et al. Mapping the distribution of the main host for plague in a complex landscape in kazakhstan: An object-based approach using SPOT-5 XS, landsat 7 ETM+, SRTM and multiple random forests[J]. International Journal of Applied Earth Observation and Geoinformation,2013-01-01,23(1)