Comparison of three satellite sensors at three spatial scales to predict larval mosquito presence in Connecticut wetlands

Remote Sensing of Environment

Volumn 112, Issue 5, 2008, Pages 2301-2308

  Brown, Heidi E ^a   Diuk Wasser, Maria A ^a   Guan, Yongtao ^a   Caskey, Susan ^b   Fish, Durland ^a  

^a YALE UNIVERSITY   (United States)

^b SANDIA NATIONAL LABORATORIES   (United States)

Author keywords

ASTER; Disease Water Stress Index; Hyperion; Mosquito habitat

Indexed keywords

BIODIVERSITY; IMAGE SENSORS; OBJECT RECOGNITION; REGRESSION ANALYSIS; VEGETATION; WETLANDS;

DISEASE WATER STRESS INDEX; HYPERION; MOSQUITO HABITAT;

SATELLITE IMAGERY;

ASTER; COMPARATIVE STUDY; DISEASE; HABITAT STRUCTURE; HYPERION; LARVA; MOSQUITO; NDVI; SATELLITE IMAGERY; SATELLITE SENSOR; SPECTRAL RESOLUTION; VEGETATION INDEX; WATER CONTENT; WATER STRESS; WETLAND;

CONNECTICUT; NORTH AMERICA; UNITED STATES;

ANOPHELES PUNCTIPENNIS; HYPERION;

EID: 41249087111     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.10.005     Document Type: Article

References (53)

1. Andreadis T.G., Thomas M.C., and Shepard J.J. Identification guide to the mosquitoes of Connecticut (2005), The Connecticut Agricultural Experiment Station, New Haven
2. Apan A., Held A., Phinn S., and Markley J. Detecting sugarcane 'orange rust' disease using EO-1 Hyperion hyperspectral imagery. International Journal of Remote Sensing 25 (2004) 489-498
3. Asner G.P. Biophysical and biochemical sources of variability in canopy reflectance. Remote Sensing of Environment 64 (1998) 234-253
4. Baret F., and Guyot G. Potentials and limits of vegetation indexes for LAI and Apar assessment. Remote Sensing of Environment 35 (1991) 161-173
5. Barrera R., Torres N., Freier J.E., Navarro J.C., Garcia C.Z., Slala R., CVasquez C., and Weaver S.C. Characterization of enzootic foci of Venezuelan equine encephalitis virus in western Venezuela. Vector-Borne and Zoonotic Diseases 3 (2001) 219-230
6. Beck L.R., Lobitz B.M., and Wood B.L. Remote sensing and human health: New sensors and new opportunities. Emerging Infectious Diseases 6 (2000) 217-227
7. Beck L.R., Rodriguez M.H., Dister S.W., Rodriguez A.D., Washino R.K., Roberts D.R., and Spanner M.A. Assessment of a remote sensing-based model for predicting malaria transmission risk in villages of Chiapas, Mexico. American Journal of Tropical Medicine and Hygiene 56 (1997) 99-106
8. Brownstein J.S., Rosen H., Purdy D., Miller J.R., Merlino M., Mostashari F., and Fish D. Spatial analysis of West Nile Virus: Rapid risk assessment of an introduced vector-borne zoonosis. Vector-Borne and Zoonotic Diseases 2 (2002) 157-164
9. Brownstein J.S., Rosen H., Purdy D., Miller J.R., Merlino M., Mostashari F., and Fish D. Spatial analysis of West Nile Virus: Rapid risk assessment of an introduced vector-borne zoonosis (vol 2, pg 157, 2002). Vector-Borne and Zoonotic Diseases 3 (2003) 155-155
10. Bubier J.L., Rock B.N., and Crill P.M. Spectral reflectance measurements of boreal wetland and forest mosses. Journal of Geophysical Research-Atmospheres 102 (1997) 29483-29494
11. Burnham K.P., and Anderson D.R. Multimodel inference - Understanding AIC and BIC in model selection. Sociological Methods & Research 33 (2004) 261-304
12. Carter G.A., and Miller R.L. Early Detection of Plant Stress by Digital Imaging within Narrow Stress-Sensitive Wavebands. Remote Sensing of Environment 50 (1994) 295-302
13. Chuvieco E., Riano D., Aguado I., and Cocero D. Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment. International Journal of Remote Sensing 23 (2002) 2145-2162
14. Cowardin L.M., Carter V., Golet F.C., and LaRoe E.T. Classification of wetlands and deepwater habitats of the United States (1979), FWS/OBS-79/31, U.S. Department of the Interior, Washington
15. Curran P.J. Remote-sensing of foliar chemistry. Remote Sensing of Environment 30 (1989) 271-278
16. Dister S.W., Fish D., Bros S.M., Frank D.H., and Wood B.L. Landscape characterization of peridomestic risk for Lyme disease using satellite imagery. American Journal of Tropical Medicine and Hygiene 57 (1997) 687-692
17. Diuk-Wasser M.A., Bagayoko M., Sogoba N., Dolo G., Toure M.B., Traore S.F., and Taylor C.E. Mapping rice field anopheline breeding habitats in Mali, West Africa, using Landsat ETM+ sensor data. International Journal of Remote Sensing 25 (2004) 359-376
18. Dunning J.B., Danielson B.J., and Pulliam H.R. Ecological Processes That Affect Populations in Complex Landscapes. Oikos 65 (1992) 169-175
19. Environmental Systems Research Institute, I. ArcGIS. Environmental Systems Research Institute, Inc., Redlands (2004)
20. Galvao L.S., Formaggio A.R., and Tisot D.A. Discrimination of sugarcane varieties in southeastern Brazil with EO-1 Hyperion data. Remote Sensing of Environment 94 (2005) 523-534
21. Gamon J.A., Serrano L., and Surfus J.S. The photochemical reflectance index: An optical indicator of photosynthetic radiation use efficiency across species, functional types, and nutrient levels. Oecologia 112 (1997) 492-501
22. Gao B.C. NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment 58 (1996) 257-266
23. Gemperli A., Sogoba N., Fondjo E., Mabaso M., Bagayoko M., Briet O.J.T., Anderegg D., Liebe J., Smith T., and Vounatsou P. Mapping malaria transmission in West and Central Africa. Tropical Medicine & International Health 11 (2006) 1032-1046
24. Glass G.E., Schwartz B.S., Morgan J.M., Johnson D.T., Noy P.M., and Israel E. Environmental risk-factors for Lyme-disease identified with geographic information-systems. American Journal of Public Health 85 (1995) 944-948
25. Gomez C., Delacourt C., Allemand P., Ledru P., and Wackerle R. Using ASTER remote sensing data set for geological mapping, in Namibia. Physics and Chemistry of the Earth 30 (2005) 97-108
26. Gong P., Pu R.L., Biging G.S., and Larrieu M.R. Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data. Ieee Transactions on Geoscience and Remote Sensing 41 (2003) 1355-1362
27. Graham A.J., Atkinson P.M., and Danson F.M. Spatial analysis for epidemiology. Acta Tropica 91 (2004) 219-225
28. Hirano A., Madden M., and Welch R. Hyperspectral image data for mapping wetland vegetation. Wetlands 23 (2003) 436-448
29. Hosmer D.W., and Lemeshow S. Applied logistic regression (1989), John Wiley & Sons, Inc., New York
30. Hugh-Jones M. Applications of remote-sensing to the identification of the habitats of parasites and disease vectors. Parasitology Today 5 (1989) 244-251
31. Kerr J.T., and Ostrovsky M. From space to species: Ecological applications for remote sensing. Trends in Ecology & Evolution 18 (2003) 299-305
32. Kitron U., and Kazmierczak J.J. Spatial analysis of the distribution of Lyme disease in Wisconsin. American Journal of Epidemiology 145 (1997) 558-566
33. Landis J.R., and Koch G.G. Measurement of observer agreement for categorical data. Biometrics 33 (1977) 159-174
34. Lillesand T.M., and Kiefer R.W. Remote sensing and image interpretation. (3rd ed.). (1994), Wiley, New York
35. Moncayo A.C., Edman J.D., and Finn J.T. Application of geographic information technology in determining risk of eastern equine encephalomyelitis virus transmission. Journal of the American Mosquito Control Association 16 (2000) 28-35
36. Morris D.W. Ecological scale and habitat use. Ecology 68 (1987) 362-369
37. NASA. Earth observing-1. Spacecraft (2001) in
38. Ostfeld R.S., Glass G.E., and Keesing F. Spatial epidemiology: An emerging (or re-emerging) discipline. Trends in Ecology & Evolution 20 (2005) 328-336
39. Pearlman J.S., Barry P.S., Segal C.C., Shepanski J., Beiso D., and Carman S.L. Hyperion, a space-based imaging spectrometer. Ieee Transactions on Geoscience and Remote Sensing 41 (2003) 1160-1173
40. Penuelas J., and Filella I. Visible and near-infrared reflectance techniques for diagnosing plant physiological status. Trends in Plant Science 3 (1998) 151-156
41. Penuelas J., Pinol J., Ogaya R., and Filella I. Estimation of plant water concentration by the reflectance water index WI (R900/R970). International Journal of Remote Sensing 18 (1997) 2869-2875
42. Pinzon J.E., Wilson J.M., Tucker C.J., Arthur R., Jahrling P.B., and Formenty P. Trigger events: Enviroclimatic coupling of Ebola hemorrhagic fever outbreaks. American Journal of Tropical Medicine and Hygiene 71 (2004) 664-674
43. Pontius J., Hallett R., and Martin M. Using AVIRIS to assess hemlock abundance and early decline in the Catskills, New York. Remote Sensing of Environment 97 (2005) 163-173
44. Rashed T., Weeks J.R., Roberts D., Rogan J., and Powell R. Measuring the physical composition of urban morphology using multiple endmember spectral mixture models. Photogrammetric Engineering and Remote Sensing 69 (2003) 1011-1020
45. Research Systems, I. ENVI 4.2 (2005), Research Systems, Inc, Boulder
46. Rogers D.J., and Randolph S.E. Studying the global distribution of infectious diseases using GIS and RS. Nature Reviews Microbiology 1 (2003) 231-237
47. Schafer M.L., Lundstrom J.O., Pfeffer M., Lundkvist E., and Landin J. Biological diversity versus risk for mosquito nuisance and disease transmission in constructed wetlands in southern Sweden. Medical and Veterinary Entomology 18 (2004) 256-267
48. Schmidt K.S., and Skidmore A.K. Spectral discrimination of vegetation types in a coastal wetland. Remote Sensing of Environment 85 (2003) 92-108
49. Stata Corp, LP. Intercooled Stata 9.0 (2005), StataCorp, LP, College Station
50. Swets J.A. Measuring the accuracy of diagnostic systems. Science 240 (1988) 1285-1293
51. Townsend P.A., Foster J.R., Chastain R.A., and Currie W.S. Application of imaging spectroscopy to mapping canopy nitrogen in the forests of the central Appalachian Mountains using Hyperion and AVIRIS. Ieee Transactions on Geoscience and Remote Sensing 41 (2003) 1347-1354
52. Treitz P.M., and Howarth P.J. Hyperspectral remote sensing for estimating biophysical parameters of forest ecosystems. Progress in Physical Geography 23 (1999) 359-390
53. Vane G., and Goetz A.F.H. Terrestrial imaging spectrometry - Current status, future-trends. Remote Sensing of Environment 44 (1993) 117-126