메뉴 건너뛰기




Volumn 34, Issue 15, 2013, Pages 5468-5486

Integration of urban growth modelling products with image-based urban change analysis

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA FUSION; DATA INTEGRATION; DECISION TREES; FORECASTING; INPUT OUTPUT PROGRAMS; INTEGRATION; PIXELS; REMOTE SENSING; SAMPLING; SELF ORGANIZING MAPS;

EID: 84877830084     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.791760     Document Type: Article
Times cited : (20)

References (60)
  • 1
    • 85130047007 scopus 로고    scopus 로고
    • Estimating and Mapping Impervious Surface Area by Regression Analysis of Landsat Imagery
    • In: Weng Q., editors Boca Raton, FL,: CRC Press
    • Bauer, M., Loeffelholz, B. and Wilson, B. 2007. " Estimating and Mapping Impervious Surface Area by Regression Analysis of Landsat Imagery ". In Remote Sensing of Impervious Surfaces, Edited by: Weng, Q. 3-19. Boca Raton, FL: CRC Press.
    • (2007) Remote Sensing of Impervious Surfaces , pp. 3-19
    • Bauer, M.1    Loeffelholz, B.2    Wilson, B.3
  • 4
    • 0035134388 scopus 로고    scopus 로고
    • Detecting the Nature of Change in an Urban Environment: A Comparison of Machine Learning Algorithms
    • Chan, J. C., Chan, K. and Yeh, A. G. 2001. Detecting the Nature of Change in an Urban Environment: A Comparison of Machine Learning Algorithms. Photogrammetric Engineering and Remote Sensing, 67: 213-225.
    • (2001) Photogrammetric Engineering and Remote Sensing , vol.67 , pp. 213-225
    • Chan, J.C.1    Chan, K.2    Yeh, A.G.3
  • 5
    • 0032447095 scopus 로고    scopus 로고
    • Loose-Coupling a CA Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore
    • Clarke, K. C. and Gaydos, L. J. 1998. Loose-Coupling a CA Model and GIS: Long-Term Urban Growth Prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 12: 699-714.
    • (1998) International Journal of Geographical Information Science , vol.12 , pp. 699-714
    • Clarke, K.C.1    Gaydos, L.J.2
  • 6
    • 0020968740 scopus 로고
    • Assessing Landsat Classification Accuracy Using Discrete Multivariate Analysis Statistical Techniques
    • Congalton, R. G., Oderwald, R. G. and Mead, R. A. 1983. Assessing Landsat Classification Accuracy Using Discrete Multivariate Analysis Statistical Techniques. Photogrammetric Engineering & Remote Sensing, 49: 1671-1678.
    • (1983) Photogrammetric Engineering & Remote Sensing , vol.49 , pp. 1671-1678
    • Congalton, R.G.1    Oderwald, R.G.2    Mead, R.A.3
  • 7
    • 74349113700 scopus 로고    scopus 로고
    • Wetland Monitoring Using Classification Trees and SPOT-5 Seasonal Time Series
    • Davranche, A., Lefebvre, G. and Poulin, B. 2010. Wetland Monitoring Using Classification Trees and SPOT-5 Seasonal Time Series. Remote Sensing of Environment, 114: 552-562.
    • (2010) Remote Sensing of Environment , vol.114 , pp. 552-562
    • Davranche, A.1    Lefebvre, G.2    Poulin, B.3
  • 8
    • 0032216156 scopus 로고    scopus 로고
    • Global Land Cover Classifications at 8 Km Spatial Resolution: The Use of Training Data Derived from Landsat Imagery in Decision Tree Classifiers
    • DeFries, R. S., Hansen, M., Townshend, J. R. G. and Sohlberg, R. 1998. Global Land Cover Classifications at 8 Km Spatial Resolution: The Use of Training Data Derived from Landsat Imagery in Decision Tree Classifiers. International Journal of Remote Sensing, 19: 3141-3168.
    • (1998) International Journal of Remote Sensing , vol.19 , pp. 3141-3168
    • DeFries, R.S.1    Hansen, M.2    Townshend, J.R.G.3    Sohlberg, R.4
  • 9
    • 0024855530 scopus 로고
    • A Software Package for Integrating Digital Elevation Models into the Digital Analysis of Remote-Sensing Data
    • Duguay, C., Holder, G., LeDrew, E., Howarth, P. and Dudycha, D. 1989. A Software Package for Integrating Digital Elevation Models into the Digital Analysis of Remote-Sensing Data. Computers and Geosciences, 15: 669-678.
    • (1989) Computers and Geosciences , vol.15 , pp. 669-678
    • Duguay, C.1    Holder, G.2    LeDrew, E.3    Howarth, P.4    Dudycha, D.5
  • 10
  • 11
    • 0003024008 scopus 로고
    • On the Handling of Continuous-Valued Attributes in Decision Tree Generation
    • Fayyad, U. M. and Irani, K. B. 1992. On the Handling of Continuous-Valued Attributes in Decision Tree Generation. Machine Learning, 8: 87-102.
    • (1992) Machine Learning , vol.8 , pp. 87-102
    • Fayyad, U.M.1    Irani, K.B.2
  • 12
    • 67349090017 scopus 로고    scopus 로고
    • Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of Hyperspectral Imagery for Urban Environments
    • Franke, J., Roberts, D. A., Halligan, K. and Menz, G. 2009. Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of Hyperspectral Imagery for Urban Environments. Remote Sensing of Environment, 113: 1712-1723.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 1712-1723
    • Franke, J.1    Roberts, D.A.2    Halligan, K.3    Menz, G.4
  • 13
    • 0029478629 scopus 로고
    • Predictive Vegetation Mapping: Geographic Modeling of Biospatial Patterns in Relation to Environmental Gradients
    • Franklin, J. 1995. Predictive Vegetation Mapping: Geographic Modeling of Biospatial Patterns in Relation to Environmental Gradients. Progress in Physical Geography, 19: 494-519.
    • (1995) Progress in Physical Geography , vol.19 , pp. 494-519
    • Franklin, J.1
  • 14
    • 0026359283 scopus 로고
    • Spatial and Spectral Classification of Remote-Sensing Imagery
    • Franklin, S. E. and Wilson, B. A. 1991. Spatial and Spectral Classification of Remote-Sensing Imagery. Computers and Geosciences, 17: 1151-1172.
    • (1991) Computers and Geosciences , vol.17 , pp. 1151-1172
    • Franklin, S.E.1    Wilson, B.A.2
  • 15
    • 0344972104 scopus 로고    scopus 로고
    • Decision Tree Classification of Land Cover from Remotely Sensed Data
    • Friedl, M. A. and Brodley, C. 1997. Decision Tree Classification of Land Cover from Remotely Sensed Data. Remote Sensing of Environment, 61: 399-409.
    • (1997) Remote Sensing of Environment , vol.61 , pp. 399-409
    • Friedl, M.A.1    Brodley, C.2
  • 17
    • 34249824313 scopus 로고    scopus 로고
    • Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary Data
    • Gamba, P., Dell'Acqua, F. and Trianni, G. 2007. Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary Data. IEEE Transactions on Geoscience and Remote Sensing, 45: 1582-1589.
    • (2007) IEEE Transactions on Geoscience and Remote Sensing , vol.45 , pp. 1582-1589
    • Gamba, P.1    Dell'Acqua, F.2    Trianni, G.3
  • 18
    • 0031429661 scopus 로고    scopus 로고
    • Analyzing the Urban-Wildland Interface with GIS
    • Greenberg, J. D. and Bradley, G. A. 1997. Analyzing the Urban-Wildland Interface with GIS. Journal of Forestry, 95: 18-22.
    • (1997) Journal of Forestry , vol.95 , pp. 18-22
    • Greenberg, J.D.1    Bradley, G.A.2
  • 19
    • 0022624923 scopus 로고
    • Linear Function Neurons: Structure and Training
    • Hampson, S. E. and Volper, D. J. 1986. Linear Function Neurons: Structure and Training. Biological Cybernetics, 53: 203-217.
    • (1986) Biological Cybernetics , vol.53 , pp. 203-217
    • Hampson, S.E.1    Volper, D.J.2
  • 20
  • 21
    • 0029667616 scopus 로고    scopus 로고
    • Classification Trees: An Alternative to Traditional Land Cover Classifiers
    • Hansen, M., Dubayah, R. and DeFries, R. 1996. Classification Trees: An Alternative to Traditional Land Cover Classifiers. International Journal of Remote Sensing, 17: 1075-1081.
    • (1996) International Journal of Remote Sensing , vol.17 , pp. 1075-1081
    • Hansen, M.1    Dubayah, R.2    DeFries, R.3
  • 22
    • 0029532172 scopus 로고
    • The Integration of Geographic Data with Remotely Sensed Imagery to Improve Classification in an Urban Area
    • Harris, P. M. and Ventura, S. J. 1995. The Integration of Geographic Data with Remotely Sensed Imagery to Improve Classification in an Urban Area. Photogrammetric Engineering and Remote Sensing, 61: 993-998.
    • (1995) Photogrammetric Engineering and Remote Sensing , vol.61 , pp. 993-998
    • Harris, P.M.1    Ventura, S.J.2
  • 23
    • 67849114029 scopus 로고    scopus 로고
    • Estimating Impervious Surfaces from Medium Spatial Resolution Imagery Using the Self-Organizing Map and Multi-Layer Perceptron Neural Networks
    • Hu, X. and Weng, Q. 2009. Estimating Impervious Surfaces from Medium Spatial Resolution Imagery Using the Self-Organizing Map and Multi-Layer Perceptron Neural Networks. Remote Sensing of Environment, 113: 2089-2102.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 2089-2102
    • Hu, X.1    Weng, Q.2
  • 24
    • 36148984256 scopus 로고    scopus 로고
    • Modeling Urban Growth in Atlanta Using Logistic Regression
    • Hu, Z. and Lo, C. P. 2007. Modeling Urban Growth in Atlanta Using Logistic Regression. Computers, Environment and Urban Systems, 31: 667-688.
    • (2007) Computers, Environment and Urban Systems , vol.31 , pp. 667-688
    • Hu, Z.1    Lo, C.P.2
  • 26
    • 27644447968 scopus 로고    scopus 로고
    • A Change Detection Model Based on Neighborhood Correlation Image Analysis and Decision Tree Classification
    • Im, J. and Jensen, J. R. 2005. A Change Detection Model Based on Neighborhood Correlation Image Analysis and Decision Tree Classification. Remote Sensing of Environment, 99: 326-340.
    • (2005) Remote Sensing of Environment , vol.99 , pp. 326-340
    • Im, J.1    Jensen, J.R.2
  • 27
    • 0038181102 scopus 로고    scopus 로고
    • A Non-Parametric Supervised Classification of Vegetation Types on the Kaibab National Forest Using Decision Trees
    • Joy, S. M., Reich, R. M. and Reynolds, R. T. 2003. A Non-Parametric Supervised Classification of Vegetation Types on the Kaibab National Forest Using Decision Trees. International Journal of Remote Sensing, 24: 1835-1852.
    • (2003) International Journal of Remote Sensing , vol.24 , pp. 1835-1852
    • Joy, S.M.1    Reich, R.M.2    Reynolds, R.T.3
  • 28
    • 0242625243 scopus 로고    scopus 로고
    • Instability of Decision Tree Classification Algorithms
    • Edmonton, AB, July 23-26, Edmonton, AB, July 23-26, New York,: Association for Computing Machinery, CD-ROM
    • Li, R. H. and Belford, G. G. Edmonton, AB, July 23-26 2002. " Instability of Decision Tree Classification Algorithms ". In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, AB, July 23-26, 570-575. New York: Association for Computing Machinery. CD-ROM
    • (2002) Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pp. 570-575
    • Li, R.H.1    Belford, G.G.2
  • 29
    • 77951196905 scopus 로고    scopus 로고
    • Parallel Cellular Automata for Large-Scale Urban Simulation Using Load-Balancing Techniques
    • Li, X., Zhang, X., Yeh, A. and Liu, X. 2010. Parallel Cellular Automata for Large-Scale Urban Simulation Using Load-Balancing Techniques. International Journal of Geographical Information Science, 24: 803-820.
    • (2010) International Journal of Geographical Information Science , vol.24 , pp. 803-820
    • Li, X.1    Zhang, X.2    Yeh, A.3    Liu, X.4
  • 30
    • 42449123039 scopus 로고    scopus 로고
    • Using the ART-MMAP Neural Network to Model and Predict Urban Growth: A Spatiotemporal Data Mining Approach
    • Liu, W. and Seto, K. C. 2008. Using the ART-MMAP Neural Network to Model and Predict Urban Growth: A Spatiotemporal Data Mining Approach. Environment and Planning B: Planning and Design, 35: 296-317.
    • (2008) Environment and Planning B: Planning and Design , vol.35 , pp. 296-317
    • Liu, W.1    Seto, K.C.2
  • 31
    • 33646478860 scopus 로고    scopus 로고
    • Use of Impervious Surface in Urban Land Use Classification
    • Lu, D. and Weng, Q. 2006. Use of Impervious Surface in Urban Land Use Classification. Remote Sensing of Environment, 102: 146-160.
    • (2006) Remote Sensing of Environment , vol.102 , pp. 146-160
    • Lu, D.1    Weng, Q.2
  • 32
    • 77949489187 scopus 로고    scopus 로고
    • Integrating Intermediate Inputs from Partially Classified Images Within a Hybrid Classification Framework: An Impervious Surface Estimation Example
    • Luo, L. and Mountrakis, G. 2010. Integrating Intermediate Inputs from Partially Classified Images Within a Hybrid Classification Framework: An Impervious Surface Estimation Example. Remote Sensing of Environment, 114: 1220-1229.
    • (2010) Remote Sensing of Environment , vol.114 , pp. 1220-1229
    • Luo, L.1    Mountrakis, G.2
  • 33
    • 0036327090 scopus 로고    scopus 로고
    • Using Prior Probabilities in Decision-Tree Classification of Remotely Sensed Data
    • McIver, D. K. and Friedl, M. A. 2002. Using Prior Probabilities in Decision-Tree Classification of Remotely Sensed Data. Remote Sensing of Environment, 81: 253-261.
    • (2002) Remote Sensing of Environment , vol.81 , pp. 253-261
    • McIver, D.K.1    Friedl, M.A.2
  • 34
    • 0037202441 scopus 로고    scopus 로고
    • Modeling the Distribution of Four Vegetation Alliances Using Generalized Linear Models and Classification Trees with Spatial Dependence
    • Miller, J. and Franklin, J. 2002. Modeling the Distribution of Four Vegetation Alliances Using Generalized Linear Models and Classification Trees with Spatial Dependence. Ecological Modelling, 157: 227-247.
    • (2002) Ecological Modelling , vol.157 , pp. 227-247
    • Miller, J.1    Franklin, J.2
  • 35
    • 79952069751 scopus 로고    scopus 로고
    • Enhancing and Replacing Spectral Information with Intermediate Structural Inputs: A Case Study on Impervious Surface Detection
    • Mountrakis, G. and Luo, L. 2011. Enhancing and Replacing Spectral Information with Intermediate Structural Inputs: A Case Study on Impervious Surface Detection. Remote Sensing of Environment, 115: 1162-1170.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 1162-1170
    • Mountrakis, G.1    Luo, L.2
  • 36
    • 0141569007 scopus 로고    scopus 로고
    • An Assessment of the Effectiveness of Decision Tree Methods of Land Cover Classification
    • Pal, M. and Mather, P. M. 2003. An Assessment of the Effectiveness of Decision Tree Methods of Land Cover Classification. Remote Sensing of Environment, 86: 554-565.
    • (2003) Remote Sensing of Environment , vol.86 , pp. 554-565
    • Pal, M.1    Mather, P.M.2
  • 39
    • 33845914584 scopus 로고    scopus 로고
    • Sub-Pixel Mapping of Urban Land Cover Using Multiple Endmember Spectral Mixture Analysis: Manaus, Brazil
    • Powell, R. L., Roberts, D. A., Dennison, P. E. and Hess, L. L. 2007. Sub-Pixel Mapping of Urban Land Cover Using Multiple Endmember Spectral Mixture Analysis: Manaus, Brazil. Remote Sensing of Environment, 106: 253-267.
    • (2007) Remote Sensing of Environment , vol.106 , pp. 253-267
    • Powell, R.L.1    Roberts, D.A.2    Dennison, P.E.3    Hess, L.L.4
  • 40
    • 0034078777 scopus 로고    scopus 로고
    • Multispectral Satellite Image and Ancillary Data for Geological Classification
    • Ricchetti, E. 2000. Multispectral Satellite Image and Ancillary Data for Geological Classification. Photogrammetric Engineering and Remote Sensing, 66: 429-435.
    • (2000) Photogrammetric Engineering and Remote Sensing , vol.66 , pp. 429-435
    • Ricchetti, E.1
  • 42
    • 41249090031 scopus 로고    scopus 로고
    • Integrating Landsat TM and SRTM-DEM Derived Variables with Decision Trees for Habitat Classification and Change Detection in Complex Neotropical Environments
    • Sesnie, S. E., Gessler, P. E., Finegan, B. and Thessler, S. 2008. Integrating Landsat TM and SRTM-DEM Derived Variables with Decision Trees for Habitat Classification and Change Detection in Complex Neotropical Environments. Remote Sensing of Environment, 112: 2145-2159.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 2145-2159
    • Sesnie, S.E.1    Gessler, P.E.2    Finegan, B.3    Thessler, S.4
  • 43
    • 0037314451 scopus 로고    scopus 로고
    • Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data
    • Seto, K. C. and Kaufmann, R. K. 2003. Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data. Land Economics, 79: 106-121.
    • (2003) Land Economics , vol.79 , pp. 106-121
    • Seto, K.C.1    Kaufmann, R.K.2
  • 44
    • 37749044501 scopus 로고    scopus 로고
    • Global Elevation Ancillary Data for Land-Use Classification Using Granular Neural Networks
    • Stathakis, D. and Kanellopoulos, L. 2008. Global Elevation Ancillary Data for Land-Use Classification Using Granular Neural Networks. Photogrammetric Engineering and Remote Sensing, 74: 55-63.
    • (2008) Photogrammetric Engineering and Remote Sensing , vol.74 , pp. 55-63
    • Stathakis, D.1    Kanellopoulos, L.2
  • 45
    • 0034881595 scopus 로고    scopus 로고
    • Monitoring Urban Land Cover Change: An Expert System Approach to Land Cover Classification of Semiarid to Arid Urban Centers
    • Stefanov, W. L., Ramsey, M. S. and Christensen, P. R. 2001. Monitoring Urban Land Cover Change: An Expert System Approach to Land Cover Classification of Semiarid to Arid Urban Centers. Remote Sensing of Environment, 77: 173-185.
    • (2001) Remote Sensing of Environment , vol.77 , pp. 173-185
    • Stefanov, W.L.1    Ramsey, M.S.2    Christensen, P.R.3
  • 46
    • 85040381455 scopus 로고
    • FOCIS: A Forest Classification and Inventory System Using Landsat and Digital Terrain Data
    • Houston, TX,: U.S. Department of Agriculture
    • Strahler, A. H., Franklin, J., Woodcock, C. E. and Logan, T. L. 1981. " FOCIS: A Forest Classification and Inventory System Using Landsat and Digital Terrain Data ". In Report NFAP/255, Nationwide Forestry Application Program, 60 Houston, TX: U.S. Department of Agriculture.
    • (1981) Report NFAP/255, Nationwide Forestry Application Program , pp. 60
    • Strahler, A.H.1    Franklin, J.2    Woodcock, C.E.3    Logan, T.L.4
  • 47
    • 21244454421 scopus 로고    scopus 로고
    • Using a Cellular Automaton Model to Forecast the Effects of Urban Growth on Habitat Pattern in Southern California
    • Syphard, A. D., Clarke, K. C., Woodcock, K. C. and Franklin, J. 2005. Using a Cellular Automaton Model to Forecast the Effects of Urban Growth on Habitat Pattern in Southern California. Ecological Complexity, 2: 185-203.
    • (2005) Ecological Complexity , vol.2 , pp. 185-203
    • Syphard, A.D.1    Clarke, K.C.2    Woodcock, K.C.3    Franklin, J.4
  • 48
    • 58149105396 scopus 로고    scopus 로고
    • Extracting Urban Vegetation Characteristics Using Spectral Mixture Analysis and Decision Tree Classifications
    • Tooke, T. R., Coops, N. C., Goodwin, N. R. and Voogt, J. A. 2009. Extracting Urban Vegetation Characteristics Using Spectral Mixture Analysis and Decision Tree Classifications. Remote Sensing of Environment, 113: 398-407.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 398-407
    • Tooke, T.R.1    Coops, N.C.2    Goodwin, N.R.3    Voogt, J.A.4
  • 49
    • 84871929452 scopus 로고    scopus 로고
    • A Spatially Heterogeneous Expert Based (SHEB) Urban Growth Model Using Model Regionalization
    • Triantakonstantis, D., Mountrakis, G. and Wang, J. 2011. A Spatially Heterogeneous Expert Based (SHEB) Urban Growth Model Using Model Regionalization. Journal of Geographic Information System, 3: 195-210.
    • (2011) Journal of Geographic Information System , vol.3 , pp. 195-210
    • Triantakonstantis, D.1    Mountrakis, G.2    Wang, J.3
  • 50
    • 0034054414 scopus 로고    scopus 로고
    • Integrating Spectral, Spatial and Terrain Variables for Forest Ecosystem Classification
    • Trietz, P. and Howarth, P. 2000. Integrating Spectral, Spatial and Terrain Variables for Forest Ecosystem Classification. Photogrammetric Engineering and Remote Sensing, 66: 305-317.
    • (2000) Photogrammetric Engineering and Remote Sensing , vol.66 , pp. 305-317
    • Trietz, P.1    Howarth, P.2
  • 51
    • 79952729366 scopus 로고    scopus 로고
    • USGS (US Geological Survey Rocky Mountain Mapping Center)
    • USGS (US Geological Survey Rocky Mountain Mapping Center) 2003. Front Range Infrastructure Resources (Frir) Project. http://energy.cr.usgs.gov/regional_studies/frip/ (http://energy.cr.usgs.gov/regional_studies/frip/) (Accessed: 19 April 2013).
    • (2003) Front Range Infrastructure Resources (Frir) Project
  • 52
    • 79952721164 scopus 로고    scopus 로고
    • Developing a Multi-Network Urbanization Model: A Case Study of Urban Growth in Denver, Colorado
    • Wang, J. and Mountrakis, G. 2010. Developing a Multi-Network Urbanization Model: A Case Study of Urban Growth in Denver, Colorado. International Journal of Geographical Information Science, 25: 229-253.
    • (2010) International Journal of Geographical Information Science , vol.25 , pp. 229-253
    • Wang, J.1    Mountrakis, G.2
  • 53
    • 0141569024 scopus 로고    scopus 로고
    • Urbanization Pressure and Modeling of Urban Growth: Example of the Tunis Metropolitan Area
    • Weber, C. and Puissant, A. 2003. Urbanization Pressure and Modeling of Urban Growth: Example of the Tunis Metropolitan Area. Remote Sensing of Environment, 86: 341-352.
    • (2003) Remote Sensing of Environment , vol.86 , pp. 341-352
    • Weber, C.1    Puissant, A.2
  • 54
    • 84855458471 scopus 로고    scopus 로고
    • Remote Sensing of Impervious Surfaces in the Urban Areas: Requirements, Methods, and Trends
    • Weng, Q. 2012. Remote Sensing of Impervious Surfaces in the Urban Areas: Requirements, Methods, and Trends. Remote Sensing of Environment, 117: 34-49.
    • (2012) Remote Sensing of Environment , vol.117 , pp. 34-49
    • Weng, Q.1
  • 55
    • 70449360423 scopus 로고    scopus 로고
    • Estimating Impervious Surfaces Using Linear Spectral Mixture Analysis with Multitemporal ASTER Images
    • Weng, Q., Hu, X. and Liu, H. 2009. Estimating Impervious Surfaces Using Linear Spectral Mixture Analysis with Multitemporal ASTER Images. International Journal of Remote Sensing, 30: 4807-4830.
    • (2009) International Journal of Remote Sensing , vol.30 , pp. 4807-4830
    • Weng, Q.1    Hu, X.2    Liu, H.3
  • 56
    • 0030856252 scopus 로고    scopus 로고
    • The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics
    • White, R., Engelen, G. and Uljee, I. 1997. The Use of Constrained Cellular Automata for High-Resolution Modelling of Urban Land-Use Dynamics. Environment and Planning B: Planning and Design, 24: 323-343.
    • (1997) Environment and Planning B: Planning and Design , vol.24 , pp. 323-343
    • White, R.1    Engelen, G.2    Uljee, I.3
  • 57
    • 7444231656 scopus 로고    scopus 로고
    • Normalized Spectral Mixture Analysis for Monitoring Urban Composition Using ETM+ Imagery
    • Wu, C. 2004. Normalized Spectral Mixture Analysis for Monitoring Urban Composition Using ETM+ Imagery. Remote Sensing of Environment, 93: 480-492.
    • (2004) Remote Sensing of Environment , vol.93 , pp. 480-492
    • Wu, C.1
  • 58
    • 0037381086 scopus 로고    scopus 로고
    • Estimating Impervious Surface Distribution by Spectral Mixture Analysis
    • Wu, C. and Murray, A. T. 2003. Estimating Impervious Surface Distribution by Spectral Mixture Analysis. Remote Sensing of Environment, 84: 493-505.
    • (2003) Remote Sensing of Environment , vol.84 , pp. 493-505
    • Wu, C.1    Murray, A.T.2
  • 59
    • 41549087480 scopus 로고    scopus 로고
    • Quantifying Multi-Temporal Urban Development Characteristics in Las Vegas from Landsat and ASTER Data
    • Xian, G., Crane, M. and McMahon, C. 2008. Quantifying Multi-Temporal Urban Development Characteristics in Las Vegas from Landsat and ASTER Data. Photogrammetric Engineering and Remote Sensing, 74: 473-481.
    • (2008) Photogrammetric Engineering and Remote Sensing , vol.74 , pp. 473-481
    • Xian, G.1    Crane, M.2    McMahon, C.3
  • 60
    • 31144447929 scopus 로고    scopus 로고
    • Estimating Landscape Imperviousness Index from Satellite Imagery
    • Yang, X. 2006. Estimating Landscape Imperviousness Index from Satellite Imagery. IEEE Geoscience and Remote Sensing Letters, 3: 6-9.
    • (2006) IEEE Geoscience and Remote Sensing Letters , vol.3 , pp. 6-9
    • Yang, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.