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Volumn , Issue , 2011, Pages 273-288

Land-use and land-cover change detection

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EID: 84876710899     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (21)

References (99)
  • 1
    • 33646686961 scopus 로고    scopus 로고
    • What remote sensing system should be used to collect the data?
    • ed. J. D. Bossler, J. R. Jensen, R. B. McMaster, and C. Rizos, New York: Taylor & Francis
    • Althausen, J. D. 2002. What remote sensing system should be used to collect the data? In Manual of Geospatial Science and Technology, ed. J. D. Bossler, J. R. Jensen, R. B. McMaster, and C. Rizos, 276. New York: Taylor & Francis.
    • (2002) Manual of Geospatial Science and Technology , pp. 276
    • Althausen, J.D.1
  • 2
    • 0026446015 scopus 로고
    • Evaluating handheld radiometer derived vegetation indices for estimating above ground biomass
    • Anderson, G. L., and J. D. Hanson. 1992. Evaluating handheld radiometer derived vegetation indices for estimating above ground biomass. Geocarto Int 7: 71.
    • (1992) Geocarto Int , vol.7 , pp. 71
    • Anderson, G.L.1    Hanson, J.D.2
  • 3
    • 0027788573 scopus 로고
    • Evaluating Landsat Thematic Mapper derived vegetation indices for estimating aboveground biomass on semiarid rangelands
    • Anderson, G. L., J. D. Hanson, and R. H. Haas. 1993. Evaluating Landsat Thematic Mapper derived vegetation indices for estimating aboveground biomass on semiarid rangelands. Rem Sens Environ 45: 165.
    • (1993) Rem Sens Environ , vol.45 , pp. 165
    • Anderson, G.L.1    Hanson, J.D.2    Haas, R.H.3
  • 4
    • 0001821176 scopus 로고    scopus 로고
    • Per-field classification of land use using the forthcoming very fine spatial resolution satellite sensors: Problems and potential solutions
    • ed. P. M. Atkinson and N. J. Tate, New York: John Wiley & Sons
    • Aplin, P., P. M. Atkinson, and P. J. Curran. 1999. Per-field classification of land use using the forthcoming very fine spatial resolution satellite sensors: problems and potential solutions. In Advances in Remote Sensing and GIS Analysis, ed. P. M. Atkinson and N. J. Tate, 219. New York: John Wiley & Sons.
    • (1999) Advances in Remote Sensing and GIS Analysis , pp. 219
    • Aplin, P.1    Atkinson, P.M.2    Curran, P.J.3
  • 5
    • 0036378759 scopus 로고    scopus 로고
    • Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: Comparing multispectral and hyperspectral observations
    • Asner, G. P., and K. B. Heidebrecht. 2002. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: Comparing multispectral and hyperspectral observations. Int J Rem Sens 23: 3939.
    • (2002) Int J Rem Sens , vol.23 , pp. 3939
    • Asner, G.P.1    Heidebrecht, K.B.2
  • 6
    • 0004300367 scopus 로고    scopus 로고
    • Digital remote sensing data and their characteristics
    • 2nd ed, ed. P. Longley, M. Goodchild, D. J. Maguire, and D. W. Rhind, New York: John Wiley & Sons
    • Barnsley, M. J. 1999. Digital remote sensing data and their characteristics. In Geographical Information Systems: Principles, Techniques, Applications, and Management, 2nd ed, ed. P. Longley, M. Goodchild, D. J. Maguire, and D. W. Rhind, 451. New York: John Wiley & Sons.
    • (1999) Geographical Information Systems: Principles, Techniques, Applications, and Management , pp. 451
    • Barnsley, M.J.1
  • 7
    • 0004120190 scopus 로고    scopus 로고
    • Accuracy assessment of remote sensing-detected change detection
    • ed. S. Khorram. Maryland: American Society for Photogrammetry and Remote Sensing
    • Biging, G. S. et al. 1999. “Accuracy assessment of remote sensing-detected change detection,” Monograph Series, ed. S. Khorram. Maryland: American Society for Photogrammetry and Remote Sensing.
    • (1999) Monograph Series
    • Biging, G.S.1
  • 8
    • 0033402088 scopus 로고    scopus 로고
    • Towards the remote sensing of Matorral vegetation physiology: Relationships between spectral reflectance, pigment, and biophysical characteristics of semiarid bushland canopies
    • Blackburn, G. A., and C. M. Steele. 1999. Towards the remote sensing of Matorral vegetation physiology: Relationships between spectral reflectance, pigment, and biophysical characteristics of semiarid bushland canopies. Rem Sens Environ 70: 278.
    • (1999) Rem Sens Environ , vol.70 , pp. 278
    • Blackburn, G.A.1    Steele, C.M.2
  • 9
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke, T. 2010. Object based image analysis for remote sensing. ISPRS J Photogramm Rem Sens 65: 2.
    • (2010) ISPRS J Photogramm Rem Sens , vol.65 , pp. 2
    • Blaschke, T.1
  • 10
    • 0035892345 scopus 로고    scopus 로고
    • Digital change detection with the aid of multiresolution wavelet analysis
    • Carvalho, L. M. T. et al. 2001. Digital change detection with the aid of multiresolution wavelet analysis. Int J Rem Sens 22: 3871.
    • (2001) Int J Rem Sens , vol.22 , pp. 3871
    • Carvalho, L.M.T.1
  • 11
    • 0029659966 scopus 로고    scopus 로고
    • Image-based atmospheric corrections-revisited and improved
    • Chavez Jr., P. S. 1996. Image-based atmospheric corrections-revisited and improved. Photogramm Eng Rem Sens 62: 1025.
    • (1996) Photogramm Eng Rem Sens , vol.62 , pp. 1025
    • Chavez, P.S.1
  • 12
    • 0028431068 scopus 로고
    • Automatic detection of vegetation changes in the southwestern United States using remotely sensed images
    • Chavez Jr., P. S., and D. J. Mackinnon. 1994. Automatic detection of vegetation changes in the southwestern United States using remotely sensed images. Photogramm Eng Rem Sens 60: 571.
    • (1994) Photogramm Eng Rem Sens , vol.60 , pp. 571
    • Chavez, P.S.1    Mackinnon, D.J.2
  • 13
    • 63949083045 scopus 로고    scopus 로고
    • Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
    • Chander, G., B. L. Markham, and D. L. Helder. 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Rem Sens Environ 113: 893.
    • (2009) Rem Sens Environ , vol.113 , pp. 893
    • Chander, G.1    Markham, B.L.2    Helder, D.L.3
  • 14
    • 0024855654 scopus 로고
    • Topographic normalization of Landsat Thematic Mapper digital imagery
    • Civco, D. L. 1989. Topographic normalization of Landsat Thematic Mapper digital imagery. Photogramm Eng and Rem Sens 55: 1303.
    • (1989) Photogramm Eng and Rem Sens , vol.55 , pp. 1303
    • Civco, D.L.1
  • 15
    • 0026359676 scopus 로고
    • Topographic normalization in rugged terrain
    • Colby, J. D. 1991. Topographic normalization in rugged terrain. Photogramm Eng Rem Sens 57: 531.
    • (1991) Photogramm Eng Rem Sens , vol.57 , pp. 531
    • Colby, J.D.1
  • 16
    • 0020968740 scopus 로고
    • Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques
    • Congalton, R. G., R. G. Oderwald, and R. A. Mead. 1983. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogramm Eng Rem Sens 49: 1671.
    • (1983) Photogramm Eng Rem Sens , vol.49 , pp. 1671
    • Congalton, R.G.1    Oderwald, R.G.2    Mead, R.A.3
  • 17
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classification of remotely sensed data
    • Congalton, R. G. 1991. A review of assessing the accuracy of classification of remotely sensed data. Rem Sens Environ 37: 35.
    • (1991) Rem Sens Environ , vol.37 , pp. 35
    • Congalton, R.G.1
  • 18
    • 3242799211 scopus 로고    scopus 로고
    • Quality assurance and accuracy assessment of information derived from remotely sensed data
    • ed. J. Bossler, London: Taylor & Francis
    • Congalton, R. G., and L. Plourde. 2002. Quality assurance and accuracy assessment of information derived from remotely sensed data. In Manual of Geospatial Science and Technology, ed. J. Bossler, 349. London: Taylor & Francis.
    • (2002) Manual of Geospatial Science and Technology , pp. 349
    • Congalton, R.G.1    Plourde, L.2
  • 20
    • 0030472333 scopus 로고    scopus 로고
    • Digital change detection in forest ecosystems with remote sensing imagery
    • Coppin, P. R., and M. E. Bauer. 1996. Digital change detection in forest ecosystems with remote sensing imagery. Rem Sens Rev 13: 207.
    • (1996) Rem Sens Rev , vol.13 , pp. 207
    • Coppin, P.R.1    Bauer, M.E.2
  • 21
    • 1942536045 scopus 로고    scopus 로고
    • Digital change detection methods in ecosystem monitoring: A review
    • Coppin, P. et al. 2004. Digital change detection methods in ecosystem monitoring: A review. Int J Rem Sens 25: 1565.
    • (2004) Int J Rem Sens , vol.25 , pp. 1565
    • Coppin, P.1
  • 22
    • 0032166282 scopus 로고    scopus 로고
    • The effects of image misregistration on the accuracy of remotely sensed change detection
    • Dai, X. L., and S. Khorram. 1998. The effects of image misregistration on the accuracy of remotely sensed change detection. IEEE Trans Geosci Rem Sens 36: 1566.
    • (1998) IEEE Trans Geosci Rem Sens , vol.36 , pp. 1566
    • Dai, X.L.1    Khorram, S.2
  • 23
    • 3242774001 scopus 로고
    • Digital change detection techniques: Civilian and military applications
    • Greenbelt, MD: Goddard Space Flight Center
    • Deer, P. J. 1995. Digital change detection techniques: Civilian and military applications, International Symposium on Spectral Sensing Research 1995 Report. Greenbelt, MD: Goddard Space Flight Center.
    • (1995) International Symposium on Spectral Sensing Research 1995 Report
    • Deer, P.J.1
  • 24
    • 0036190084 scopus 로고    scopus 로고
    • Detection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data
    • Dhakal, A. S. et al. 2002. Detection of areas associated with flood and erosion caused by a heavy rainfall using multitemporal Landsat TM data. Photogramm Eng Rem Sens 68: 233.
    • (2002) Photogramm Eng Rem Sens , vol.68 , pp. 233
    • Dhakal, A.S.1
  • 25
    • 8344225395 scopus 로고    scopus 로고
    • Evaluation of impervious surface estimates in a rapidly urbanizing watershed
    • Dougherty, M. et al. 2004. Evaluation of impervious surface estimates in a rapidly urbanizing watershed. Photogramm Eng Rem Sens 70: 1275.
    • (2004) Photogramm Eng Rem Sens , vol.70 , pp. 1275
    • Dougherty, M.1
  • 26
    • 0038222099 scopus 로고    scopus 로고
    • Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection
    • Du, Y., P. M. Teillet, and J. Cihlar. 2002. Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection. Rem Sens Environ 82: 123.
    • (2002) Rem Sens Environ , vol.82 , pp. 123
    • Du, Y.1    Teillet, P.M.2    Cihlar, J.3
  • 27
    • 0031431982 scopus 로고    scopus 로고
    • The reliability of vegetation indices for monitoring saltmarsh vegetation cover
    • Eastwood, J. A. et al. 1997. The reliability of vegetation indices for monitoring saltmarsh vegetation cover. Int J Rem Sens 18: 3901.
    • (1997) Int J Rem Sens , vol.18 , pp. 3901
    • Eastwood, J.A.1
  • 28
    • 0028815095 scopus 로고
    • Comparison of broad-band and narrow-band red and near-infrared vegetation indices
    • Elvidge, C. D., and Z. Chen. 1995. Comparison of broad-band and narrow-band red and near-infrared vegetation indices. Rem Sens Environ 54: 38.
    • (1995) Rem Sens Environ , vol.54 , pp. 38
    • Elvidge, C.D.1    Chen, Z.2
  • 29
    • 33646714327 scopus 로고    scopus 로고
    • Characteristics, sources, and management of remotely-sensed data
    • 2nd ed., eds. P. Longley, M. Goodchild, D. J. Maguire, and D. W. Rhind, New York: John Wiley & Sons
    • Estes, J. E., and T. R. Loveland. 1999. Characteristics, sources, and management of remotely-sensed data. In Geographical Information Systems: Principles, Techniques, Applications, and Management, 2nd ed., eds. P. Longley, M. Goodchild, D. J. Maguire, and D. W. Rhind, 667. New York: John Wiley & Sons.
    • (1999) Geographical Information Systems: Principles, Techniques, Applications, and Management , pp. 667
    • Estes, J.E.1    Loveland, T.R.2
  • 30
    • 0030135691 scopus 로고    scopus 로고
    • Approaches for the production and evaluation of fuzzy land cover classification from remotely-sensed data
    • Foody, G. M. 1996. Approaches for the production and evaluation of fuzzy land cover classification from remotely-sensed data. Int J Rem Sens 17: 1317.
    • (1996) Int J Rem Sens , vol.17 , pp. 1317
    • Foody, G.M.1
  • 31
    • 0036213079 scopus 로고    scopus 로고
    • Status of land cover classification accuracy assessment
    • Foody, G. M. 2002. Status of land cover classification accuracy assessment. Rem Sens Environ 80: 185.
    • (2002) Rem Sens Environ , vol.80 , pp. 185
    • Foody, G.M.1
  • 32
    • 0037058334 scopus 로고    scopus 로고
    • Evidential reasoning with Landsat TM, DEM and GIS data for land cover classification in support of grizzly bear habitat mapping
    • Franklin, S. E. et al. 2002. Evidential reasoning with Landsat TM, DEM and GIS data for land cover classification in support of grizzly bear habitat mapping. Int J Rem Sens 23: 4633.
    • (2002) Int J Rem Sens , vol.23 , pp. 4633
    • Franklin, S.E.1
  • 33
    • 0025456506 scopus 로고
    • An assessment of TM imagery for land-cover change detection
    • Fung, T. 1990. An assessment of TM imagery for land-cover change detection. IEEE Trans Geosci Rem Sens 28: 681.
    • (1990) IEEE Trans Geosci Rem Sens , vol.28 , pp. 681
    • Fung, T.1
  • 34
    • 3042729893 scopus 로고    scopus 로고
    • Remote sensing and land-cover area estimation
    • Gallego, F. J. 2004. Remote sensing and land-cover area estimation. Int J Rem Sens 25: 3019.
    • (2004) Int J Rem Sens , vol.25 , pp. 3019
    • Gallego, F.J.1
  • 35
    • 79955448374 scopus 로고    scopus 로고
    • Contextual land cover classification: Incorporating spatial dependence in land cover classification models using random forests and the Getis statistic
    • Ghimire, B., J. Rogan, and J. Miller. 2010. Contextual land cover classification: Incorporating spatial dependence in land cover classification models using random forests and the Getis statistic. Rem Sens Lett 1: 45.
    • (2010) Rem Sens Lett , vol.1 , pp. 45
    • Ghimire, B.1    Rogan, J.2    Miller, J.3
  • 36
    • 0028582483 scopus 로고
    • An atmospheric correction method for the automatic retrieval of surface reflectance from TM images
    • Gilabert, M. A., C. Conese, and F. Maselli. 1994. An atmospheric correction method for the automatic retrieval of surface reflectance from TM images. Int J Rem Sens 15: 2065.
    • (1994) Int J Rem Sens , vol.15 , pp. 2065
    • Gilabert, M.A.1    Conese, C.2    Maselli, F.3
  • 37
    • 0026846026 scopus 로고
    • Frequency-based contextual classification and gray-level vector reduction for land-use identification
    • Gong, P., and P. J. Howarth. 1992. Frequency-based contextual classification and gray-level vector reduction for land-use identification. Photogramm Eng Rem Sens 58: 423.
    • (1992) Photogramm Eng Rem Sens , vol.58 , pp. 423
    • Gong, P.1    Howarth, P.J.2
  • 38
    • 0028172421 scopus 로고
    • Using remote sensing to detect and monitor land-cover and land-use change
    • Green, K., D. Kempka, and L. Lackey. 1994. Using remote sensing to detect and monitor land-cover and land-use change. Photogramm Eng Rem Sens 60: 331.
    • (1994) Photogramm Eng Rem Sens , vol.60 , pp. 331
    • Green, K.1    Kempka, D.2    Lackey, L.3
  • 39
    • 0033952526 scopus 로고    scopus 로고
    • A standardized radiometric normalization method for change detection using remotely sensed imagery
    • Heo, J., and T. W. FitzHugh. 2000. A standardized radiometric normalization method for change detection using remotely sensed imagery. Photogramm Eng Rem Sens 66: 173.
    • (2000) Photogramm Eng Rem Sens , vol.66 , pp. 173
    • Heo, J.1    FitzHugh, T.W.2
  • 40
    • 0028410937 scopus 로고
    • Accuracy assessment of satellite derived land-cover data: A review
    • Janssen, L. F. J., and F. J. M. van der Wel. 1994. Accuracy assessment of satellite derived land-cover data: A review. Photogramm Eng Rem Sens 60: 419.
    • (1994) Photogramm Eng Rem Sens , vol.60 , pp. 419
    • Janssen, L.F.J.1    van der Wel, F.J.M.2
  • 41
    • 7944238651 scopus 로고    scopus 로고
    • A modeling approach for estimating watershed impervious surface area from national land cover data 92
    • Jennings, D. B., S. T. Jarnagin, and C. W. Ebert. 2004. A modeling approach for estimating watershed impervious surface area from national land cover data 92. Photogramm Eng Rem Sens 70: 1295.
    • (2004) Photogramm Eng Rem Sens , vol.70 , pp. 1295
    • Jennings, D.B.1    Jarnagin, S.T.2    Ebert, C.W.3
  • 42
    • 0019999450 scopus 로고
    • Detecting residential land use development at the urban fringe
    • Jensen, J. R., and D. L. Toll. 1982. Detecting residential land use development at the urban fringe. Photogramm Eng Rem Sens 48: 629.
    • (1982) Photogramm Eng Rem Sens , vol.48 , pp. 629
    • Jensen, J.R.1    Toll, D.L.2
  • 44
    • 0031222047 scopus 로고    scopus 로고
    • Variance estimates and confidence intervals for the Kappa measure of classification accuracy
    • Kalkhan, M. A., R. M. Reich, and R. L. Czaplewski. 1997. Variance estimates and confidence intervals for the Kappa measure of classification accuracy. Can J Rem Sens 23: 210.
    • (1997) Can J Rem Sens , vol.23 , pp. 210
    • Kalkhan, M.A.1    Reich, R.M.2    Czaplewski, R.L.3
  • 45
    • 67349132266 scopus 로고    scopus 로고
    • Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects
    • Kennedy, R. E. et al. 2009. Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects. Rem Sens Environ 113: 1382.
    • (2009) Rem Sens Environ , vol.113 , pp. 1382
    • Kennedy, R.E.1
  • 46
    • 0027879544 scopus 로고
    • An experimental system for the integration of GIS data in knowledge-based image analysis for remote sensing of agriculture
    • Kontoes, C. et al. 1993. An experimental system for the integration of GIS data in knowledge-based image analysis for remote sensing of agriculture. Int J Geogr Inf Syst 7: 247.
    • (1993) Int J Geogr Inf Syst , vol.7 , pp. 247
    • Kontoes, C.1
  • 50
    • 0037053931 scopus 로고    scopus 로고
    • View angle effects on canopy reflectance and spectral mixture analysis of coniferous forests using AVIRIS
    • Lobell, D. B. et al. 2002. View angle effects on canopy reflectance and spectral mixture analysis of coniferous forests using AVIRIS. Int J Rem Sens 23: 2247.
    • (2002) Int J Rem Sens , vol.23 , pp. 2247
    • Lobell, D.B.1
  • 51
    • 0035923272 scopus 로고    scopus 로고
    • An area-based accuracy assessment methodology for digital change maps
    • Lowell, K., 2001. An area-based accuracy assessment methodology for digital change maps. Int J Rem Sens 22: 3571.
    • (2001) Int J Rem Sens , vol.22 , pp. 3571
    • Lowell, K.1
  • 52
    • 85009544198 scopus 로고    scopus 로고
    • Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research
    • Lu, D. et al. 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. Int J Rem Sens 23: 2651.
    • (2002) Int J Rem Sens , vol.23 , pp. 2651
    • Lu, D.1
  • 53
    • 1642644595 scopus 로고    scopus 로고
    • Change detection techniques
    • Lu, D. et al. 2004. Change detection techniques. Int J Rem Sens 25: 2365.
    • (2004) Int J Rem Sens , vol.25 , pp. 2365
    • Lu, D.1
  • 54
    • 13344269650 scopus 로고    scopus 로고
    • Land-cover binary change detection methods for use in the moist tropical region of the Amazon: A comparative study
    • Lu, D. et al. 2005. Land-cover binary change detection methods for use in the moist tropical region of the Amazon: A comparative study. Int J Rem Sens 26: 101.
    • (2005) Int J Rem Sens , vol.26 , pp. 101
    • Lu, D.1
  • 55
    • 27644546267 scopus 로고    scopus 로고
    • Urban classification using full spectral information of Landsat ETM+ imagery in Marion County
    • Lu, D., and Q. Weng. 2005. Urban classification using full spectral information of Landsat ETM+ imagery in Marion County. Indiana Photogramm Eng Rem Sens 71: 1275.
    • (2005) Indiana Photogramm Eng Rem Sens , vol.71 , pp. 1275
    • Lu, D.1    Weng, Q.2
  • 56
    • 33646478860 scopus 로고    scopus 로고
    • Use of impervious surface in urban land use classification
    • Lu, D., and Q. Weng. 2006. Use of impervious surface in urban land use classification. Rem Sens Environ 102: 146.
    • (2006) Rem Sens Environ , vol.102 , pp. 146
    • Lu, D.1    Weng, Q.2
  • 57
    • 33947591833 scopus 로고    scopus 로고
    • A survey of image classification methods and techniques for improving classification performance
    • Lu, D., and Q. Weng. 2007. A survey of image classification methods and techniques for improving classification performance. Int J Rem Sens 28: 823.
    • (2007) Int J Rem Sens , vol.28 , pp. 823
    • Lu, D.1    Weng, Q.2
  • 58
    • 41549153340 scopus 로고    scopus 로고
    • Integration of Landsat TM and SPOT HRG images for vegetation change detection in the Brazilian Amazon
    • Lu, D., M. Batistella, and E. Moran. 2008a. Integration of Landsat TM and SPOT HRG images for vegetation change detection in the Brazilian Amazon. Photogramm Eng and Rem Sens 70: 421.
    • (2008) Photogramm Eng and Rem Sens , vol.70 , pp. 421
    • Lu, D.1    Batistella, M.2    Moran, E.3
  • 59
    • 56649103459 scopus 로고    scopus 로고
    • Pixel-based Minnaert correction method for reducing topographic effects on the Landsat 7 ETM+ image
    • Lu, D. et al. 2008b. Pixel-based Minnaert correction method for reducing topographic effects on the Landsat 7 ETM+ image. Photogramm Eng Rem Sens 74: 1343.
    • (2008) Photogramm Eng Rem Sens , vol.74 , pp. 1343
    • Lu, D.1
  • 60
    • 0031885631 scopus 로고    scopus 로고
    • A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data
    • Macleod, R. D., and R. G. Congalton. 1998. A quantitative comparison of change-detection algorithms for monitoring eelgrass from remotely sensed data. Photogramm Eng Rem Sens 64: 207.
    • (1998) Photogramm Eng Rem Sens , vol.64 , pp. 207
    • Macleod, R.D.1    Congalton, R.G.2
  • 61
    • 0023163602 scopus 로고
    • Thematic Mapper bandpass solar exoatmospheric irradiances
    • Markham, B. L., and J. L. Barker. 1987. Thematic Mapper bandpass solar exoatmospheric irradiances. Int J Rem Sens 8: 517.
    • (1987) Int J Rem Sens , vol.8 , pp. 517
    • Markham, B.L.1    Barker, J.L.2
  • 62
    • 0033540330 scopus 로고    scopus 로고
    • Monitoring land-cover changes: A comparison of change detection techniques
    • Mas, J. F. 1999. Monitoring land-cover changes: A comparison of change detection techniques. Int J Rem Sens 20: 139.
    • (1999) Int J Rem Sens , vol.20 , pp. 139
    • Mas, J.F.1
  • 63
    • 0037138460 scopus 로고    scopus 로고
    • The radiometric normalization of multitemporal Thematic Mapper imagery of the midlands of Ireland-a case study
    • McGovern, E. A. et al. 2002. The radiometric normalization of multitemporal Thematic Mapper imagery of the midlands of Ireland-a case study. Int J Rem Sens 23: 751.
    • (2002) Int J Rem Sens , vol.23 , pp. 751
    • McGovern, E.A.1
  • 64
    • 0027788760 scopus 로고
    • Radiometric corrections of topographically induced effects on Landsat TM data in alpine environment
    • Meyer, P. et al. 1993. Radiometric corrections of topographically induced effects on Landsat TM data in alpine environment. ISPRS J Photogramm Rem Sens 48: 17.
    • (1993) ISPRS J Photogramm Rem Sens , vol.48 , pp. 17
    • Meyer, P.1
  • 65
    • 0031459538 scopus 로고    scopus 로고
    • Detection of vegetation associated with extensive flooding in a forested ecosystem
    • Michener, W. K., and P. F. Honhoulis. 1997. Detection of vegetation associated with extensive flooding in a forested ecosystem. Photogramm Eng Rem Sens 63: 1363.
    • (1997) Photogramm Eng Rem Sens , vol.63 , pp. 1363
    • Michener, W.K.1    Honhoulis, P.F.2
  • 66
    • 0033920388 scopus 로고    scopus 로고
    • Accuracy assessment curves for satellite-based change detection
    • Morisette, J. T., and S. Khorram. 2000. Accuracy assessment curves for satellite-based change detection. Photogramm Eng Rem Sens 66: 875.
    • (2000) Photogramm Eng Rem Sens , vol.66 , pp. 875
    • Morisette, J.T.1    Khorram, S.2
  • 67
    • 0028519423 scopus 로고
    • Change detection for monitoring forest defoliation
    • Muchoney, D. M., and B. N. Haack. 1994. Change detection for monitoring forest defoliation. Photogramm Eng Rem Sens 60: 1243.
    • (1994) Photogramm Eng Rem Sens , vol.60 , pp. 1243
    • Muchoney, D.M.1    Haack, B.N.2
  • 68
    • 5444267906 scopus 로고    scopus 로고
    • Narrow band vegetation indices overcome the saturation problem in biomass estimation
    • Mutanga, O., and A. K. Skidmore. 2004. Narrow band vegetation indices overcome the saturation problem in biomass estimation. Int J Rem Sens 25: 3999.
    • (2004) Int J Rem Sens , vol.25 , pp. 3999
    • Mutanga, O.1    Skidmore, A.K.2
  • 69
    • 84899848814 scopus 로고    scopus 로고
    • A robust texture analysis and classification approach for urban land-use and landcover feature discrimination
    • Myint, S. W. 2001. A robust texture analysis and classification approach for urban land-use and landcover feature discrimination. Geocarto Int 16: 27.
    • (2001) Geocarto Int , vol.16 , pp. 27
    • Myint, S.W.1
  • 70
    • 0142125798 scopus 로고    scopus 로고
    • Spectral unmixing of hyperspectral imagery for mineral exploration: Comparison of results from SFSI and AVIRIS
    • Neville, R. A. et al. 2003. Spectral unmixing of hyperspectral imagery for mineral exploration: Comparison of results from SFSI and AVIRIS. Can J Rem Sens 29: 99.
    • (2003) Can J Rem Sens , vol.29 , pp. 99
    • Neville, R.A.1
  • 71
    • 0034890857 scopus 로고    scopus 로고
    • Practical limits on hyperspectral vegetation discrimination in arid and semiarid environments
    • Okin, G. S. et al. 2001. Practical limits on hyperspectral vegetation discrimination in arid and semiarid environments. Rem Sens Environ 77: 212.
    • (2001) Rem Sens Environ , vol.77 , pp. 212
    • Okin, G.S.1
  • 72
    • 0141569007 scopus 로고    scopus 로고
    • An assessment of the effectiveness of decision tree methods for land cover classification
    • Pal, M., and P. M. Mather. 2003. An assessment of the effectiveness of decision tree methods for land cover classification. Rem Sens Environ 86: 554.
    • (2003) Rem Sens Environ , vol.86 , pp. 554
    • Pal, M.1    Mather, P.M.2
  • 73
    • 4143144226 scopus 로고    scopus 로고
    • A comparison of AVIRIS and Landsat for land use classification at the urban fringe
    • Platt, R. V., and A. F. H. Goetz. 2004. A comparison of AVIRIS and Landsat for land use classification at the urban fringe. Photogramm Eng Rem Sens 70: 813.
    • (2004) Photogramm Eng Rem Sens , vol.70 , pp. 813
    • Platt, R.V.1    Goetz, A.F.H.2
  • 74
    • 58149121834 scopus 로고    scopus 로고
    • Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: A case study of the Greater Cairo region
    • Rashed, T. et al. 2001. Revealing the anatomy of cities through spectral mixture analysis of multispectral satellite imagery: A case study of the Greater Cairo region. Egypt Geocarto Int 16: 5.
    • (2001) Egypt Geocarto Int , vol.16 , pp. 5
    • Rashed, T.1
  • 75
    • 0030617352 scopus 로고    scopus 로고
    • Comparison of single-stage and multi-stage classification approaches for cover type mapping with TM and SPOT data
    • San Miguel-Ayanz, J., and G. S. Biging. 1997. Comparison of single-stage and multi-stage classification approaches for cover type mapping with TM and SPOT data. Rem Sens Environ 59: 92.
    • (1997) Rem Sens Environ , vol.59 , pp. 92
    • San Miguel-Ayanz, J.1    Biging, G.S.2
  • 76
  • 77
    • 0035044422 scopus 로고    scopus 로고
    • Improvement of classification in urban areas by the use of textural features: The case study of Lucknow city
    • Shaban, M. A., and O. Dikshit. 2001. Improvement of classification in urban areas by the use of textural features: The case study of Lucknow city. Uttar Pradesh Int J Rem Sens 22: 565.
    • (2001) Uttar Pradesh Int J Rem Sens , vol.22 , pp. 565
    • Shaban, M.A.1    Dikshit, O.2
  • 78
    • 0024855524 scopus 로고
    • Digital change detection techniques using remotely sensed data
    • Singh, A. 1989. Digital change detection techniques using remotely sensed data. Int J Rem Sens 10: 989.
    • (1989) Int J Rem Sens , vol.10 , pp. 989
    • Singh, A.1
  • 79
    • 0033586922 scopus 로고    scopus 로고
    • Quality assessment of image classification algorithms for land-cover mapping: A review and a proposal for a cost-based approach
    • Smits, P.C., S. G. Dellepiane, and R. A. Schowengerdt. 1999. Quality assessment of image classification algorithms for land-cover mapping: A review and a proposal for a cost-based approach. Int J Rem Sens 20: 1461.
    • (1999) Int J Rem Sens , vol.20 , pp. 1461
    • Smits, P.C.1    Dellepiane, S.G.2    Schowengerdt, R.A.3
  • 80
    • 0035141621 scopus 로고    scopus 로고
    • Classification and change detection using Landsat TM data: When and how to correct atmospheric effect
    • Song, C. et al. 2001. Classification and change detection using Landsat TM data: When and how to correct atmospheric effect. Rem Sens Environ 75: 230.
    • (2001) Rem Sens Environ , vol.75 , pp. 230
    • Song, C.1
  • 81
    • 0031146380 scopus 로고    scopus 로고
    • A physically-based model to correct atmospheric and illumination effects in optical satellite data of rugged terrain
    • Stefan, S., and K. I. Itten. 1997. A physically-based model to correct atmospheric and illumination effects in optical satellite data of rugged terrain. IEEE Trans Geosci Rem Sens 35: 708.
    • (1997) IEEE Trans Geosci Rem Sens , vol.35 , pp. 708
    • Stefan, S.1    Itten, K.I.2
  • 82
    • 0032826393 scopus 로고    scopus 로고
    • Reducing the effects of misregistration on pixel-level change detection
    • Stow, D. A. 1999. Reducing the effects of misregistration on pixel-level change detection. Int J Rem Sens 20: 2477.
    • (1999) Int J Rem Sens , vol.20 , pp. 2477
    • Stow, D.A.1
  • 83
    • 0036116220 scopus 로고    scopus 로고
    • Sensitivity of multitemporal NOAA AVHRR data of an urbanizing region to land-use/land-cover change and misregistration
    • Stow, D. A., and D. M. Chen. 2002. Sensitivity of multitemporal NOAA AVHRR data of an urbanizing region to land-use/land-cover change and misregistration. Rem Sens Environ 80: 297.
    • (2002) Rem Sens Environ , vol.80 , pp. 297
    • Stow, D.A.1    Chen, D.M.2
  • 84
    • 0034161563 scopus 로고    scopus 로고
    • Integrating contextual information with per-pixel classification for improved land cover classification
    • Stuckens, J., P. R. Coppin, and M. E. Bauer. 2000. Integrating contextual information with per-pixel classification for improved land cover classification. Rem Sens Environ 71: 282.
    • (2000) Rem Sens Environ , vol.71 , pp. 282
    • Stuckens, J.1    Coppin, P.R.2    Bauer, M.E.3
  • 85
    • 0020372346 scopus 로고
    • On the slope-aspect correction of multispectral scanner data
    • Teillet, P. M., B. Guindon, and D. G. Goodenough. 1982. On the slope-aspect correction of multispectral scanner data. Can J Rem Sens 8: 84.
    • (1982) Can J Rem Sens , vol.8 , pp. 84
    • Teillet, P.M.1    Guindon, B.2    Goodenough, D.G.3
  • 86
    • 0345085640 scopus 로고    scopus 로고
    • Relative calibration of multitemporal Landsat data for forest cover change detection
    • Tokola, T., S. Löfman, and A. Erkkilä. 1999. Relative calibration of multitemporal Landsat data for forest cover change detection. Rem Sens Environ 68: 1.
    • (1999) Rem Sens Environ , vol.68 , pp. 1
    • Tokola, T.1    Löfman, S.2    Erkkilä, A.3
  • 87
    • 0026914974 scopus 로고
    • The effect of image misregistration on the detection of vegetation change
    • Townshend, J. R. G. et al. 1992. The effect of image misregistration on the detection of vegetation change. IEEE Trans Geosci Rem Sens 30: 1054.
    • (1992) IEEE Trans Geosci Rem Sens , vol.30 , pp. 1054
    • Townshend, J.R.G.1
  • 89
    • 0034524236 scopus 로고    scopus 로고
    • Bias in land cover change estimates due to misregistration
    • Verbyla, D. L., and S. H. Boles. 2000. Bias in land cover change estimates due to misregistration. Int J Rem Sens 21: 3553.
    • (2000) Int J Rem Sens , vol.21 , pp. 3553
    • Verbyla, D.L.1    Boles, S.H.2
  • 90
    • 0031139633 scopus 로고    scopus 로고
    • Second simulation of the satellite signal in the solar spectrum, 6S: An overview
    • Vermote, E. et al. 1997. Second simulation of the satellite signal in the solar spectrum, 6S: An overview. IEEE Trans Geosci Rem Sens 35: 675.
    • (1997) IEEE Trans Geosci Rem Sens , vol.35 , pp. 675
    • Vermote, E.1
  • 91
    • 50849103360 scopus 로고    scopus 로고
    • Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images
    • Vicente-Serrano, S. M., F. Pérez-Cabello, and T. Lasanta. 2008. Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images. Rem Sens Environ 112: 3916.
    • (2008) Rem Sens Environ , vol.112 , pp. 3916
    • Vicente-Serrano, S.M.1    Pérez-Cabello, F.2    Lasanta, T.3
  • 92
    • 24244432576 scopus 로고    scopus 로고
    • A method to incorporate phenology into land cover change analysis
    • Weber, K. T. 2001. A method to incorporate phenology into land cover change analysis. J Range Manage 54: A1.
    • (2001) J Range Manage , vol.54 , pp. A1
    • Weber, K.T.1
  • 93
    • 0037381086 scopus 로고    scopus 로고
    • Estimating impervious surface distribution by spectral mixture analysis
    • Wu, C., and A. T. Murray. 2003. Estimating impervious surface distribution by spectral mixture analysis. Rem Sens Environ 84: 493.
    • (2003) Rem Sens Environ , vol.84 , pp. 493
    • Wu, C.1    Murray, A.T.2
  • 94
    • 77952523850 scopus 로고    scopus 로고
    • Land cover change detection using texture analysis
    • Wu, X., F. Yang, and R. Lishman. 2010. Land cover change detection using texture analysis. J Comp Sci 6: 92.
    • (2010) J Comp Sci , vol.6 , pp. 92
    • Wu, X.1    Yang, F.2    Lishman, R.3
  • 95
    • 0033873756 scopus 로고    scopus 로고
    • Relative radiometric normalization performance for change detection from multi-date satellite images
    • Yang, X., and C. P. Lo. 2000. Relative radiometric normalization performance for change detection from multi-date satellite images. Photogramm Eng Rem Sens 66: 967.
    • (2000) Photogramm Eng Rem Sens , vol.66 , pp. 967
    • Yang, X.1    Lo, C.P.2
  • 96
    • 0030619097 scopus 로고    scopus 로고
    • Techniques for computer-assisted mapping of rangeland change
    • Yool, S. R., M. J. Makaio, and J. M. Watts. 1997. Techniques for computer-assisted mapping of rangeland change. J Range Manage 50: 307.
    • (1997) J Range Manage , vol.50 , pp. 307
    • Yool, S.R.1    Makaio, M.J.2    Watts, J.M.3
  • 97
    • 0032208731 scopus 로고    scopus 로고
    • NALC land cover change detection pilot study: Washington D.C. area experiments
    • Yuan, D., and C. Elvidge. 1998. NALC land cover change detection pilot study: Washington D.C. area experiments. Rem Sens Environ 66: 166.
    • (1998) Rem Sens Environ , vol.66 , pp. 166
    • Yuan, D.1    Elvidge, C.2
  • 99
    • 41549145410 scopus 로고    scopus 로고
    • Object-based land cover classification and change analysis in the Baltimore metropolitan area using multi-temporal high resolution remote sensing data
    • Zhou, W., A. Troy, and J. M. Grove. 2008. Object-based land cover classification and change analysis in the Baltimore metropolitan area using multi-temporal high resolution remote sensing data. Sensors 8: 1613.
    • (2008) Sensors , vol.8 , pp. 1613
    • Zhou, W.1    Troy, A.2    Grove, J.M.3


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