대한지리학회지 (Journal of the Korean Geographical Society)

대한지리학회 (The Korean Geographical Society)
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계절별 위성자료를 이용한 미국 캔자스주 식생 분류 - 하이브리드 접근방식의 적용 -

Kansas Vegetation Mapping Using Multi-Temporal Remote Sensing Data: A Hybrid Approach

  • 박선엽 (미국 캔자스대학교 캔자스원격탐사연구원) ;
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  • 발행 : 2003.12.01
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초록

미국 캔자스주 정부와 연방정부가 필요로 하는 상세한 지표피복 수치지도제작을 위해, Landsat Thematic Mapper 자료를 이용하여 캔자스주 전체를 대상으로 43가지로 분류된 식생군단(vegetation alliance) 수준의 자연식 생지도를 제작하였다. 지도제작 방법으로는 봄, 여름, 가을의 계절별 위성자료를 이용하여 두 단계 분류절차를 거치는 이른바 '하이브리드(hybrid)' 방식을 채택하였다. 이 접근 방법은 첫 단계로 unsupervised classification을 이용, 자연녹지를 농경지로부터 분리해 낸 다음. 두 번째 단계에서 supervised classification, 현장확인조사. 그리고 분류 후 다양한 보강자료를 이용하여 최종적으로 자연식생을 구분ㆍ분류해 내는 것이다. 정확도 평가는 세 가지 분류 수준에서 실행되었는데, 이는 앤더슨 분류단계 I(Anderson level I), 식생군계(vegetation formation), 그리고 식생군단 수준을 포함한다. 확인결과 전반적인 정확도는 51.7%에서 89.4%에 이르는 것으로 조사되었다.

To address the requirements of gap analysis for species protection, as well as the needs of state and federal agencies for detailed digital land cover, a 43-class map at the vegetation alliance level was created for the state of Kansas using multi-temporal Thematic Mapper imagery. The mapping approach included the use of three-date multi-seasonal imagery, a two-stage classification approach that first masked out cropland areas using unsupervised classification and then mapped natural vegetation with supervised classification, visualization techniques utilizing a map of small multiples and field experts, and extensive use of ancillary data in post-hoc processing. Accuracy assessment was conducted at three levels of generalization (Anderson Level I, vegetation formation, and vegetation alliance) and three cross-tabulation approaches. Overall accuracy ranged from 51.7% to 89.4%, depending on level of generalization, while accuracy figures for individual alliance classes varied by area covered and level of sampling.

키워드

참고문헌

  1. 기본과제 연구보고서 생태자연도 작성 및 활용을 위한 원격탐사기법 연구 Ⅱ-식생분류도 작성을 중심으로 전성우;정휘철
  2. 생물학 용어집 한국생물과학협회
  3. Geological Survey Professional Paper 964 A land use and land cover classification system for use with remote sensor data Anderson,J.R.;Hardy,E.E.;Roach,J.T.;Witmer,R.E.
  4. The National Vegetation Classification System : list of types v.Ⅱ International classification of ecological communities: terrestrial vegetation of the United States Anderson,M.;Bourgeron,P.;Bryer,M.T.;Crawford,R.;Engelking,L.;Farber-Langendoen;D.Gallyoun,M.;Goodin,K.;Grossman,D.H.;Landaal,S.;Metzler,K.;Patterson,K.D.;Pyne,M.;Reid,M.;Sneddon,L.;Weakley,A.S.
  5. Journal of Soil and Water Conservation v.50 Nongame bird nesting on CRP lands in the Texas Southern High Plains Berthelsen,P.S.;Smith,L.M.
  6. Remote Sensing of Environment v.29 Comparative study of crop and soil mapping using multitemporal and multipectral SPOT and Landsat Thematic Mapper data Buttner,G.;Csillag,F. https://doi.org/10.1016/0034-4257(89)90003-5
  7. Introduction to remote sensing Campbell,J.B.
  8. Remote Sensing of Environment v.24 An improved dark-object subtraction technique for atmospheric scattering corretion of multispectral data Chavez,P.S. https://doi.org/10.1016/0034-4257(88)90019-3
  9. Assessing the accuracy of remotely sensed data : principles and practices, Congalton,R.G.;Green,K.
  10. Remote Sensing of Environment v.63 Assessing map accuracy in a remotely sensed, ecoregion-scale cover map Edwards,T.C.;Moisen,G.C.;Cutler,D.R. https://doi.org/10.1016/S0034-4257(96)00246-5
  11. Proceedings, ACSM/ASPRS 95 Annual Convention and Exposition v.3 Developing a land cover modelling protocol for the high plains using multi-seasonal Thematic Mapper imagery Egbert,S.L.;Price,K.P.;Nellis,M.D.;Lee,R.
  12. Geocarto International v.13 Mapping Conservation Reserve Program (CRP) lands using multi-seasonal Thematic Mapper imagery Egbert,S.L.;Lee,R.;Price,K.P.;Nellis,M.D.;Boyce,R.
  13. Kansas Biological Survey Report No. 98 The Kansas GAP land cover map: final report Egbert,S.L.;Peterson,D.L.;Stewart,A.M.;Lauver,C.L.;Blodgett,C.F.;Price,K.P.;Martinko,E.A.
  14. ASPRS 2001 : Gateway to the New Millenium Landscape structure and the U.S. Conservation Reserve Program on the Central High Plains Egbert,S.L.;Park,S.;Stewart,A.M.;Peterson,D.L.;Lauver,C.L.;Price,K.P.;Martinko,E.A.
  15. Photogrammetirc Engineering and Remote Sensing v.60 The land cover map of Great Britain : an automated classification of Landsat Thematic Mapper data Fuller,R.M.;Groom,G.B.;Jones,A.R.
  16. International Journal of Remote Sensing v.11 Classification of TM imagery in the study of land use in lowland Britain : practical considerations for operational use Fuller,R.M.;Parsell,R.J. https://doi.org/10.1080/01431169008955137
  17. International Classification of ecological communities : terrestrial vegetation of the United StatesⅠⅠⅠ v.Ⅰ The National Vegetation Classification System: development, status, and applications, in The Nature Conservancy Grossman,D.H.;Faber-Langendoen,D.;Weakley,A.S.;Anderson,M.;Bourgeron,P.;Crawford,R.;Goodin,K.;Landaal,S.;Metzler,K.;Patterson,K.D.;Payne,M.;Reid,M.;Sneddon,L.
  18. International Journal of Remote Sensing v.12 Radiometric correction of multitemporal Thematic Mapper data for use in agricultural land-cover classification and vegetation monitoring Hill,J.;Sturm,B. https://doi.org/10.1080/01431169108955184
  19. Gap Analysis Technical Bulletin 2. Idaho Cooperative Fish and Wildlife Research Unit Natural terrestrial cover classification : Assumptions and definitions Jennings,M.D.
  20. Photogrammetric Engineering and Remote Sensing v.53 Inland wetland change detection using aircraft MSS data Jensen,J.R.;Ramsey,E.W.;Mackey,H.E.;Christensen,E.J.;Shartiz,R.R.
  21. Introductory digital image processing Jensen,J.R.
  22. Surface Water Information Management System(SWIMS) Kansas Department of Health and Environment
  23. Journal of Soil and Water Conservation v.48 Duck nest success on Conservation Reserve Program land in the prairie pothole region Kantrud,H.A.
  24. Ecology v.55 A new vegetation map of Kansas Kuchler,A.W. https://doi.org/10.2307/1935149
  25. The Southwestern Naturalist v.44 A classification of the natural vegetation of Kansas Lauver,C.L.;Kindscher,K.;Faber-Langendoen,D.;Schneider,R. https://doi.org/10.2307/3672341
  26. National GAP Meeting 2000 Just how much tallgrass prairie is left?-Analysis of current and historical land cover in Kansas Lauver,C.L.;Stewart,A.M.;Egbert,S.L.;Martinko,E.A.;Price,K.P.;Peterson,D.L.;Park,S.;Blodgett,C.F.
  27. Remote sensing and image interpretation Lillesand,T.M.;Kiefer,R.P.
  28. Concepts and techniques of geographic information systems Lo,C.P.;Yeung,A.K.
  29. Proceedings, Workshop on Earthnet Pilot Project on Landsat Thematic Mapper Applications Mauser,W.
  30. ASPRS 2001: Gateway to the New Millenium Identifying and understanding land use/land cover changes in Kansas, Peterson,D.L.;Stewart,A.M.;Egbert,S.L.;Lauver,C.L.;Martinko,E.A.;Price,K.P.;Park,S.
  31. Transactions of Kansas Academy of Sciences v.100 Mapping land cover in a High Plains agro-ecosystem using a multi-date Landsat Thematic Mapper modeling approach Price,K.P.;Egbert,S.L.;Nellis,M.D.;Lee,R.Y.;Boyce,R. https://doi.org/10.2307/3628436
  32. Remote Sensing of Environment v.16 Thematic mapping from multitemporal image data using the principal components transformation Richards,J.A. https://doi.org/10.1016/0034-4257(84)90025-7
  33. Photogrammetric Engineering and Remote Sensing v.60 Assessing the potential impact of Conservation Reserve Program lands on Bobwhite habitat using remote sensing, GIS, and habitat modeling Roseberry,J.L.;Richards,B.J.;Hollenhorst,T.P.
  34. Journal of Wildlife Management;Wildlife Monographs v.57 no.supplement.123 Gap analysis : A geographic approach to protection of biological diversity Scott,J.M.;Davis,F.;Csuti,B.;Noss,R.;Butterfield,B.;Groves,C.;Anderson,H.;Caicco,S.;Dierchia,F.;Edwards,Jr,T.C.;Ulliman,J.;Wright,R.G.
  35. Perspectives on sustainable development of water resurces in Kansas Water resurces of Kansas-a comprehensive outline Sophocleous,M.;M.Sophocelous(ed.)
  36. Proceedings, ASPRS 2000, Annual Meetings of the American Sociey for Photogrammetry and Remote Sensing Land cover mapping for GAP: A hybrid classification approach to identifying the vegetation of Kansas Stewart,A.M.;Peterson,D.L.;Egbert,S.L.;Price,K.P.;Blodgett,C.F.;Park,S.;Lauver,C.L.;Martinko,E.A.;Cully,J.
  37. Photogrammetric Engineering and Remote Sensing v.52 Accuracy assessment: a users perspective Story,M.;Congalton,R.G.
  38. Pattern recognition principles Tou,J.T.;Gonzalez,R.C.
  39. The visual display of quantitative information Tufte,E.R.
  40. Envisioning information Tufte,E.R.
  41. Visual explanations Tufte,E.R.
  42. International classifiation and mapping of vegetation UNESCO
  43. Soil Survey Geographic (SSURGO) Database USDA,Natural Resources Conservation Service
  44. Photogrammetric Engineering and Remote Sensing v.61 Regional characterization of land cover using multiple sources of data Vogelmann,J.E.;Sohl,T.;Howard,S.M.
  45. Photogrammetric Engineering and Remote Sensing v.67 Completion of the 1990s National Land Cover Data set for the conterminous United States Vogelmann,J.E.;Howard,S.M.;Yang,L.;Larson,C.R.;Wylie,B.K.;van Driel,J.N.
  46. ASPRS 2001: Gateway to the New Millenium A comparison of the GAP and regional MRLC land cover data sets for the state of Kansas classification systems, methods and results Wardlow,B.D.;Egbert,S.L.
  47. 1995 ACSM/ASPRS Annual Convention and Exposition Technical Papers v.3 The Kansas state land cover mapping project: Regional scale land use/land cover mapping using Landsat Thematic Mapper data Whistler,J.L.;Jakubauskas,M.E.;Egbert,S.L.;Martinko,E.A.;Baumgartner,D.W.;Lee,R.
  48. Single sheet, 1:750000 scale, color, Map available from Kansas Geological Survey Kansas land cover patterns Whistler,J.L.;Jakubauskas,M.E.;Egbert,S.L.;Martinko,E.A.;Baumgartner,D.W.;Lee,R.
  49. The Conservation Reserve Program: A wildlfie conservation legacy Wildlife Legacy Partners