메뉴 건너뛰기




Volumn 3, Issue 11, 2011, Pages 2364-2383

Fusion of high resolution aerial multispectral and lidar data: Land cover in the context of urban mosquito habitat

Author keywords

Arizona; Data fusion; Land cover classification; LiDAR; Mosquito; Multispectral; Public health; Tucson; Urban; West nile virus

Indexed keywords

ARIZONA; LAND COVER CLASSIFICATION; MOSQUITO; MULTI-SPECTRAL; TUCSON; URBAN; WEST NILE VIRUS;

EID: 84856732577     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs3112364     Document Type: Article
Times cited : (83)

References (38)
  • 1
    • 84856689562 scopus 로고    scopus 로고
    • NCID. NCID, CDC: Atlanta, GA, USA, Available online (accessed on 2 September 2010)
    • NCID. Mosquito-Borne Diseases, Infectious Disease Information; NCID, CDC: Atlanta, GA, USA, 2007. Available online: http://www.cdc.gov/ncidod/diseases/list_mosquitoborne.htm (accessed on 2 September 2010).
    • (2007) Mosquito-Borne Diseases, Infectious Disease Information
  • 2
    • 83155183988 scopus 로고    scopus 로고
    • Identifying mosquito habitat microtopography in an Australian mangrove forest using LiDAR derived elevation data
    • Griffin, L.F.; Knight, J.M.; Dale, P.E.R. Identifying mosquito habitat microtopography in an Australian mangrove forest using LiDAR derived elevation data. Wetlands 2010, 30, 929-937.
    • (2010) Wetlands , vol.30 , pp. 929-937
    • Griffin, L.F.1    Knight, J.M.2    Dale, P.E.R.3
  • 3
    • 79960353838 scopus 로고    scopus 로고
    • Delineation of impervious surface from multispectral imagery and LiDAR incorporating knowledge based expert system rules
    • Germaine, K.A.; Hung, M.C. Delineation of impervious surface from multispectral imagery and LiDAR incorporating knowledge based expert system rules. Photogramm. Eng. Remote Sensing 2011, 77, 75-85.
    • (2011) Photogramm. Eng. Remote Sensing , vol.77 , pp. 75-85
    • Germaine, K.A.1    Hung, M.C.2
  • 4
    • 0014833447 scopus 로고
    • New eyes for epidemiologists: Aerial photography and other remote sensing techniques
    • Cline, B.L. New eyes for epidemiologists: Aerial photography and other remote sensing techniques. Am. J. Epidemiol. 1970, 92, 85-89.
    • (1970) Am. J. Epidemiol. , vol.92 , pp. 85-89
    • Cline, B.L.1
  • 5
    • 70349660262 scopus 로고    scopus 로고
    • Application of spatial technology in malaria research & control: Some new insights
    • Saxena, R.; Nagpal, B.N.; Srivastava, A.; Gupta, S.K.; Dash, A.P. Application of spatial technology in malaria research & control: Some new insights. Indian J. Med. Res. 2009, 130, 125-132.
    • (2009) Indian J. Med. Res. , vol.130 , pp. 125-132
    • Saxena, R.1    Nagpal, B.N.2    Srivastava, A.3    Gupta, S.K.4    Dash, A.P.5
  • 6
    • 0024353350 scopus 로고
    • Applications of remote sensing to the identification of the habitats of parasites and disease vectors
    • Hugh-Jones, M. Applications of remote sensing to the identification of the habitats of parasites and disease vectors. Parasitol. Today 1989, 5, 244-251.
    • (1989) Parasitol. Today , vol.5 , pp. 244-251
    • Hugh-Jones, M.1
  • 7
    • 33846538768 scopus 로고    scopus 로고
    • Thirty years of use and improvement of remote sensing, applied to epidemiology: From early promises to lasting frustration
    • Herbreteau, V.; Salem, G.; Souris, M.; Hugot, J.-P.; Gonzalez, J.-P. Thirty years of use and improvement of remote sensing, applied to epidemiology: From early promises to lasting frustration. Health Place 2007, 13, 400-403.
    • (2007) Health Place , vol.13 , pp. 400-403
    • Herbreteau, V.1    Salem, G.2    Souris, M.3    Hugot, J.-P.4    Gonzalez, J.-P.5
  • 8
    • 77955852643 scopus 로고    scopus 로고
    • Modeled response of the West Nile virus vector Culex quinquefasciatus to changing climate using the dynamic mosquito simulation model
    • Morin, C.; Comrie, A. Modeled response of the West Nile virus vector Culex quinquefasciatus to changing climate using the dynamic mosquito simulation model. Int. J. Biometeorol. 2010, 54, 517-529.
    • (2010) Int. J. Biometeorol. , vol.54 , pp. 517-529
    • Morin, C.1    Comrie, A.2
  • 9
    • 33745670241 scopus 로고    scopus 로고
    • WRCC, Western Regional Climate Center: Reno, NV, USA. Available online, (accessed on 20 May 2011)
    • WRCC. Arizona Climate Summaries; Western Regional Climate Center: Reno, NV, USA. Available online: http://www.wrcc.dri.edu/cgi-bin/cliMAIN.pl?az8815 (accessed on 20 May 2011).
    • Arizona Climate Summaries
  • 10
    • 0029521079 scopus 로고
    • Exploring a V-I-S (Vegetation-Impervious Surface-Soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities
    • Ridd, M.K. Exploring a V-I-S (Vegetation-Impervious Surface-Soil) model for urban ecosystem analysis through remote sensing: comparative anatomy for cities. Int. J. Remote Sens. 1995, 16, 2165-2185.
    • (1995) Int. J. Remote Sens. , vol.16 , pp. 2165-2185
    • Ridd, M.K.1
  • 11
    • 84856715084 scopus 로고    scopus 로고
    • AFPO, Aerial Photography Field Office, USDA: Salt Lake City, UT, USA, Available online, (accessed on 11 October 2011)
    • AFPO. National Agriculture Imagery Program (NAIP); Aerial Photography Field Office, USDA: Salt Lake City, UT, USA, 2011. Available online: http://www.fsa.usda.gov/FSA/apfoapp?area=home&subject=prog&topic=nai (accessed on 11 October 2011).
    • (2011) National Agriculture Imagery Program (NAIP)
  • 12
    • 0018465733 scopus 로고
    • Red and photographic infrared linear combinations for monitoring vegetation
    • Tucker, C.J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 1979, 8, 127-150.
    • (1979) Remote Sens. Environ. , vol.8 , pp. 127-150
    • Tucker, C.J.1
  • 15
    • 0032770877 scopus 로고    scopus 로고
    • Airborne laser scanning-An introduction and overview
    • Wehr, A.; Lohr, U. Airborne laser scanning-An introduction and overview. ISPRS J. Photogramm. 1999, 54, 68-82.
    • (1999) ISPRS J. Photogramm. , vol.54 , pp. 68-82
    • Wehr, A.1    Lohr, U.2
  • 17
    • 84856726566 scopus 로고    scopus 로고
    • LIDAR processing-It's not black magic
    • October
    • Fowler, R.A. LIDAR processing-It's not black magic. Earth Observation Magazine October 2001; pp. 33-35.
    • (2001) Earth Observation Magazine , pp. 33-35
    • Fowler, R.A.1
  • 18
    • 0346144476 scopus 로고    scopus 로고
    • Combining Lidar elevation data and IKONOS multispectral imagery for coastal classification mapping
    • Lee, D.S.; Shan, J. Combining Lidar elevation data and IKONOS multispectral imagery for coastal classification mapping. Marine Geod. 2003, 26, 117.
    • (2003) Marine Geod , vol.26 , pp. 117
    • Lee, D.S.1    Shan, J.2
  • 19
    • 34548846375 scopus 로고    scopus 로고
    • Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis
    • Bork, E.W.; Su, J.G. Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis. Remote Sens. Environ. 2007, 111, 11-24.
    • (2007) Remote Sens. Environ. , vol.111 , pp. 11-24
    • Bork, E.W.1    Su, J.G.2
  • 20
    • 70149122627 scopus 로고    scopus 로고
    • Classification of multispectral high-resolution satellite imagery using lidar elevation data
    • Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Porikli, F., Peters, J., Klosowski, J., Arns, L., Chun, Y., Rhyne, T.-M., Monroe, L., Eds.; Springer: Berlin/Heidelberg, Germany
    • Alonso, M.; Malpica, J. Classification of multispectral high-resolution satellite imagery using lidar elevation data. In Advances in Visual Computing; Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Porikli, F., Peters, J., Klosowski, J., Arns, L., Chun, Y., Rhyne, T.-M., Monroe, L., Eds.; Springer: Berlin/Heidelberg, Germany, 2008; Volume 5359, pp. 85-94.
    • (2008) Advances in Visual Computing , vol.5359 , pp. 85-94
    • Alonso, M.1    Malpica, J.2
  • 21
    • 17444390061 scopus 로고    scopus 로고
    • Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection
    • Rottensteiner, F.; Trinder, J.; Clode, S.; Kubik, K. Using the Dempster-Shafer method for the fusion of LIDAR data and multi-spectral images for building detection. Inform. Fusion 2005, 6, 283-300.
    • (2005) Inform. Fusion , vol.6 , pp. 283-300
    • Rottensteiner, F.1    Trinder, J.2    Clode, S.3    Kubik, K.4
  • 23
    • 85013986650 scopus 로고    scopus 로고
    • Assessing the Possibility of Land-Cover Classification Using LIDAR Intensity Data
    • Graz, Austria, 9-13 September In IAPRS, 2002
    • Song, J.; Han, S.; Yu, K.; Kim, Y. Assessing the Possibility of Land-Cover Classification Using LIDAR Intensity Data. In Proceedings of ISPRS Commission III "Photogrammetric Computer Vision", Graz, Austria, 9-13 September 2002; In IAPRS, 2002; Volume 34, pp. 259-263.
    • (2002) Proceedings of ISPRS Commission III "Photogrammetric Computer Vision" , vol.34 , pp. 259-263
    • Song, J.1    Han, S.2    Yu, K.3    Kim, Y.4
  • 24
    • 0023163720 scopus 로고
    • A comparison of supervised maximum likelihood and decision tree classification for crop cover estimation from multitemporal LANDSAT MSS data
    • Belward, A.S.; de Hoyos, A. A comparison of supervised maximum likelihood and decision tree classification for crop cover estimation from multitemporal LANDSAT MSS data. Int. J. Remote Sens. 1987, 8, 229-235.
    • (1987) Int. J. Remote Sens. , vol.8 , pp. 229-235
    • Belward, A.S.1    de Hoyos, A.2
  • 27
    • 56649090968 scopus 로고    scopus 로고
    • A comparison of coincident Landsat-5 TM and Resourcesat-1 AWiFS imagery for classifying croplands
    • Johnson, D.M. A comparison of coincident Landsat-5 TM and Resourcesat-1 AWiFS imagery for classifying croplands. Photogramm. Eng. Remote Sensing 2008, 74, 1413-1423.
    • (2008) Photogramm. Eng. Remote Sensing , vol.74 , pp. 1413-1423
    • Johnson, D.M.1
  • 28
    • 33746166986 scopus 로고    scopus 로고
    • Object-oriented land cover classification of lidar-derived surfaces
    • Brennan, R.; Webster, T.L. Object-oriented land cover classification of lidar-derived surfaces. Can. J. Remote Sens. 2006, 32, 162-172.
    • (2006) Can. J. Remote Sens. , vol.32 , pp. 162-172
    • Brennan, R.1    Webster, T.L.2
  • 29
    • 1242276174 scopus 로고    scopus 로고
    • RuleQuest Research: St Ives, NSW, Australia, Available online (accessed on 2 November 2011)
    • Data Mining Tools See5 and C5.0; RuleQuest Research: St Ives, NSW, Australia, 2011. Available online: http://www.rulequest.com/see5-info.html (accessed on 2 November 2011).
    • (2011) Data Mining Tools See5 and C5.0
  • 30
  • 31
    • 84973587732 scopus 로고
    • A coefficient of agreement for nominal scales
    • Cohen, J. A coefficient of agreement for nominal scales. Educ. Psychol. Meas. 1960, 20, 37-46.
    • (1960) Educ. Psychol. Meas. , vol.20 , pp. 37-46
    • Cohen, J.1
  • 32
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • Congalton, R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 1991, 37, 35-46.
    • (1991) Remote Sens. Environ. , vol.37 , pp. 35-46
    • Congalton, R.G.1
  • 34
    • 77953962719 scopus 로고    scopus 로고
    • Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies
    • Korpela, I.; Ørka, H.O.; Hyyppä, J.; Heikkinen, V.; Tokola, T. Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies. ISPRS J. Photogramm. 2010, 65, 369.
    • (2010) ISPRS J. Photogramm. , vol.65 , pp. 369
    • Korpela, I.1    Ørka, H.O.2    Hyyppä, J.3    Heikkinen, V.4    Tokola, T.5
  • 35
    • 0000596361 scopus 로고
    • Note on the sampling error of the difference between correlated proportions or percentages
    • McNemar, Q. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika 1947, 12, 153-157.
    • (1947) Psychometrika , vol.12 , pp. 153-157
    • McNemar, Q.1
  • 36
    • 33745115697 scopus 로고    scopus 로고
    • Comparing accuracy assessments to infer superiority of image classification methods
    • De Leeuw, J.; Jia, H.; Yang, L.; Liu, X.; Schmidt, K.; Skidmore, A.K. Comparing accuracy assessments to infer superiority of image classification methods. Int. J. Remote Sens. 2006, 27, 223-232.
    • (2006) Int. J. Remote Sens. , vol.27 , pp. 223-232
    • De Leeuw, J.1    Jia, H.2    Yang, L.3    Liu, X.4    Schmidt, K.5    Skidmore, A.K.6
  • 38
    • 78049255268 scopus 로고    scopus 로고
    • Automated derivation of urban building density information using airborne LiDAR data and object-based method
    • Yu, B.L.; Liu, H.X.; Wu, J.P.; Hu, Y.J.; Zhang, L. Automated derivation of urban building density information using airborne LiDAR data and object-based method. Landscape Urban Plan. 2010, 98, 210-219.
    • (2010) Landscape Urban Plan , vol.98 , pp. 210-219
    • Yu, B.L.1    Liu, H.X.2    Wu, J.P.3    Hu, Y.J.4    Zhang, L.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.