Airborne imaging spectroscopy to monitor urban mosquito microhabitats

Remote Sensing of Environment

Volumn 137, Issue , 2013, Pages 226-233

  Thompson, David R ^a   de la Torre Juárez, Manuel ^a   Barker, Christopher M ^b   Holeman, Jodi ^c   Lundeen, Sarah ^a   Mulligan, Steve ^c   Painter, Thomas H ^a   Podest, Erika ^a   Seidel, Felix C ^a   Ustinov, Eugene ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Consolidated Mosquito Abatement District ^*  (United States)

Author keywords

Disease vector control; Green swimming pools; Imaging spectroscopy; Matched filter detection; Urban environments; West Nile virus

Indexed keywords

DISEASE VECTORS; FILTER DETECTIONS; IMAGING SPECTROSCOPY; URBAN ENVIRONMENTS; WEST NILE VIRUS;

AERIAL PHOTOGRAPHY; ECOSYSTEMS; INFRARED SPECTROMETERS; MATCHED FILTERS; SURVEYS; SWIMMING POOLS;

LAKES;

AVIRIS; CHLOROPHYLL; COLONIZATION; DISEASE VECTOR; HEALTH SURVEY; MICROHABITAT; MOSQUITO; PROBABILITY; PUBLIC HEALTH; REMOTE SENSING; SWIMMING;

UNITED STATES;

EID: 84880819104     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.06.015     Document Type: Article

References (38)

1. Beck L.R., Lobitz B.M., Wood B.L. Remote sensing and human health: New sensors and new opportunities. Emerging Infectious Diseases 2000, 6:217-227.
2. Bishop C.M. Pattern recognition and machine learning 2006, Springer, New York.
3. Caillouët K.A., Carlson J.C., Wesson D., Jordan F. Colonization of abandoned swimming pools by larval mosquitoes and their predators following Hurricane Katrina. Journal of Vector Ecology 2008, 33:166-172.
4. California Department of Public Health West Nile Website http://westnile.ca.gov/reports.php.
5. Dekker A.G., Vos R.J., Peters S.W.M. Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOT sensor data. International Journal of Remote Sensing 2002, 23:15-35.
6. Dell'Acqua F., Gamba P., Trianni G. A preliminary study on separability of paving materials in shadowed hyperspectral pixels from a central urban area. Proceedings of ISPRS joint conferences: 3rd international symposium remote sensing and data fusion over urban areas (URBAN 2005) and 5th international symposium remote sensing of urban areas (URS 2005) 2005.
7. DiPietro R.S., Manolakis D., Lockwood R., Cooley T., Jacobson J. Performance evaluation of hyperspectral detection algorithms for sub-pixel objects. Proceedings of SPIE 2010, 7695.
8. Dreiseitl S., Ohno-Machado L. Logistic regression and artificial neural network classification models: A methodology review. Journal of Biomedical Informatics 2002, 35:352-359.
9. Fawcett T. ROC graphs: Notes and practical considerations for researchers. Pattern Recognition Letters 2004, 27:882-891.
10. Fielding A., Bell J. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 1997, 24:38-49.
11. Foy B., Theiler J., Fraser A. Decision boundaries in two dimensions for target detection in hyperspectral imagery. Optics Express 2009, 17:17391-17411.
12. Franklin, R. (2013). Personal communication. Aerial Services, a division of TeamBuilders, Inc. http://www.aerialpoolsurvey.com.
13. Gitelson A. The peak near 700nm on radiance spectra of algae and water: Relationships of its magnitude and position with chlorophyll concentration. International Journal of Remote Sensing 1992, 13:3367-3373.
14. Google Google maps (accessed Aug. 2012). http://maps.google.com/.
15. Green R. AVIRIS and related 21st century imaging spectrometers for Earth and space science. High Performance Computing in Remote Sensing 2008, 335.
16. Han L. Spectral reflectance with varying suspended sediment concentrations in clear and algae-laden waters. Photogrammetric Engineering and Remote Sensing 1997, 63:701-705.
17. Hoogenboom H.J., Dekker A.G., Althuis I.J.A. Simulation of AVIRIS sensitivity for detecting chlorophyll over coastal and inland waters. Remote Sensing of Environment 1998, 65:333-340.
18. Kallio K., Kutser T., Hannonen T., Koponen S., Pulliainen J., Vepslinen J. Retrieval of water quality from airborne imaging spectrometry of various lake types in different seasons. The Science of the Total Environment 2001, 268:59-77.
19. Kalluri S., Gilruth P., Rogers D., Szczur M. Surveillance of arthropod vector-borne infectious diseases using remote sensing techniques: A review. PLoS Pathogens 2007, 3(10):e116.
20. Kearns M., Ron D. Algorithmic stability and sanity-check bounds for leave-one-out cross-validation. Neural Computation 1999, 11:1427-1453.
21. Kim M., Holt J.B., Eisen R., Padgett K., Reisen W.K., Croft J. Detection of swimming pools by geographic object-based image analysis to support West Nile virus control efforts. Photogrammetric Engineering and Remote Sensing 2011, 77:1169-1179.
22. Kim M., Park J., Tuell G. A constrained optimization technique for estimating environmental parameters from CZMIL hyperspectral and Lidar data. SPIE defense, security, and sensing 2010, 769513. International Society for Optics and Photonics.
23. Lachérade S., Miesch C., Briottet X., Le Men H. Spectral variability and bidirectional reflectance behaviour of urban materials at a 20cm spatial resolution in the visible and near-infrared wavelengths. A case study over Toulouse (France). International Journal of Remote Sensing 2005, 26:3859-3866.
24. Lee Z., Carder K., Mobley C., Steward R., Patch J. Hyperspectral remote sensing for shallow waters. 2. Deriving bottom depths and water properties by optimization. Applied Optics 1999, 38:3831-3843.
25. Linthicum K., Bailey C., Davies F., Tucker C. Application of remote sensing to arthropod vector surveillance and control. Science 1987, 235:1565-1659.
26. Lunetta R.S., Knight J.F., Paerl H.W., Streicher J.J., Peierls B.L., Gallo T., et al. Measurement of water colour using AVIRIS imagery to assess the potential for an operational monitoring capability in the Pamlico Sound Estuary, USA. International Journal of Remote Sensing 2009, 30:3291-3314.
27. Manolakis D.G., Siracusa C., Marden D., Shaw G.A. Hyperspectral adaptive matched-filter detectors: Practical performance comparison. Proceedings of SPIE 2001, 4381.
28. McFeeters S.K. The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing 1996, 17:1425-1432.
29. Nokia/DigitalGlobe Nokia maps (accessed on Aug. 2012). http://maps.nokia.com/.
30. Reisen W.K. Landscape epidemiology of vector-borne diseases. Annual Review of Entomology 2010, 55:461-483.
31. Reisen W.K., Takashi R.M., Carroll B.D., Quiring R. Delinquent mortgages, neglected swimming pools, and West Nile virus, California. Emerging Infectious Diseases 2008, 14:1747.
32. Richardson L. Remote sensing of algal bloom dynamics. BioScience 1996, 46:492-501.
33. Richter R., Schläpfer D. Atmospheric/topographic correction for airborne imagery: ATCOR-4 user guide. Technical report DLR-IB 565-02/12 2012, (Weissling, Germany).
34. Santa Clara Vector Control District http://www.sccgov.org/sites/vector/Pages/Vector-Control-District-Site-Home-Page.aspx.
35. Schaepman-Strub G., Schaepman M., Painter T., Dangel S., Martonchik J. Reflectance quantities in optical remote sensing-definitions and case studies. Remote Sensing of Environment 2006, 103:27-42.
36. Stocker A.D., Reed I.S., Yu X. Mu1tidimensiona1 signal processing for electro-optical target detection. SPIE signal and data processing of small targets 1990, 1305.
37. Washino R., Wood B. Application of remote sensing to arthropod vector surveillance and control. The American Journal of Tropical Medicine and Hygiene 1994, 50:134-144.
38. Yacobi Y.Z., Gitelson A., Mayo M. Remote sensing of chlorophyll in Lake Kinneret using high spectral-resolution radiometer and Landsat TM: Spectral features of reflectance and algorithm development. Journal of Plankton Research 1995, 17:2155-2173.