terrestrial remotely sensed imagery in support of public health new avenues of research using object-based image analysis支持公共卫生的陆地遥感图像使用基于对象的图像分析研究的新途径.pdf

Remote Sens. 2011, 3, 2321-2345; doi:10.3390/rs3112321 OPEN ACCESS Remote Sensing ISSN 2072-4292 /journal/remotesensing Review Terrestrial Remotely Sensed Imagery in Support of Public Health: New Avenues of Research Using Object-Based Image Analysis Maggi Kelly 1,2,*, Samuel D. Blanchard 1, Ellen Kersten 1 and Kevin Koy 2 1 Department of Environmental Science, Policy and Management, University of California, Berkeley, 130 Mulford Hall #3114, Berkeley, CA 94720, USA; E-Mails: sablanchard@ (S.B.); ekersten@ (E.K.) 2 Geospatial Innovation Facility, College of Natural Resources, University of California, Berkeley, Berkeley, CA 94720, USA; E-Mail: kkoy@ * Author to whom correspondence should be addressed; E-Mail: maggi@. Received: 15 August 2011; in revised form: 7 October 2011 / Accepted: 20 October 2011 / Published: 27 October 2011 Abstract: The benefits of terrestrial remote sensing in the environmental sciences are clear across a range of applications, and increasingly remote sensing analyses are being integrated into public health research. This integration has largely been in two areas: first, through the inclusion of continuous remote sensing products such as normalized difference vegetation index (NDVI) or moisture indices to answer large-area questions associated with the epidemiology of vector-borne diseases or other health exposures; and second, through image classification to map discrete landscape patches that provide habitat to disease