CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 5093 > Article
Translator Disclaimer
Paper
23 September 2003 Identification of mosquito larval habitats in high resolution satellite data
Richard K. Kiang, Stephanie M. Hulina, Penny M. Masuoka, David M. Claborn
Author Affiliations +
Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX; (2003) https://doi.org/10.1117/12.487016
Event: AeroSense 2003, 2003, Orlando, Florida, United States
Abstract
Mosquito-born infectious diseases are a serious public health concern, not only for the less developed countries, but also for developed countries like the U.S. Larviciding is an effective method for vector control and adverse effects to non-target species are minimized when mosquito larval habitats are properly surveyed and treated. Remote sensing has proven to be a useful technique for large-area ground cover mapping, and hence, is an ideal tool for identifying potential larval habitats. Locating small larval habitats, however, requires data with very high spatial resolution. Textural and contextual characteristics become increasingly evident at higher spatial resolution. Per-pixel classification often leads to suboptimal results. In this study, we use pan-sharpened Ikonos data, with a spatial resolution approaching 1 meter, to classify potential mosquito larval habitats for a test site in South Korea. The test site is in a predominantly agricultural region. When spatial characteristics were used in conjunction with spectral data, reasonably good classification accuracy was obtained for the test site. In particular, irrigation and drainage ditches are important larval habitats but their footprints are too small to be detected with the original spectral data at 4-meter resolution. We show that the ditches are detectable using automated classification on pan-sharpened data.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Richard K. Kiang, Stephanie M. Hulina, Penny M. Masuoka, and David M. Claborn "Identification of mosquito larval habitats in high resolution satellite data", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); https://doi.org/10.1117/12.487016
ACCESS THE FULL ARTICLE
PERSONAL SIGN IN
Full access may be available with your subscription
Forgot your username?
Forgot your password?
No SPIE account? Create an account
Institutional Access:
Sign in with your institutional credentials
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 9 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
SHARE
GET CITATION
Advertisement
Advertisement
KEYWORDS
Earth observing sensors
Spatial resolution
High resolution satellite images
Vegetation
Satellites
Linear filtering
Digital filtering
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top