메뉴 건너뛰기




Volumn 38, Issue 20, 2017, Pages 5763-5792

Subpixel land-cover classification for improved urban area estimates using landsat

Author keywords

[No Author keywords available]

Indexed keywords

ECOLOGY; IMAGE RESOLUTION; LAND USE; PIXELS;

EID: 85037525615     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2017.1346403     Document Type: Article
Times cited : (37)

References (91)
  • 1
    • 0013022346 scopus 로고    scopus 로고
    • Australian Bureau of Statistics. Belconnen, ACT, Australia
    • ABS. 2015. Australian National Accounts 1988-2015. Australian Bureau of Statistics. Belconnen, ACT, Australia.
    • (2015) Australian National Accounts , pp. 1988-2015
  • 3
    • 0037429630 scopus 로고    scopus 로고
    • Analyzing the Land Cover of an Urban Environment Using High-Resolution Orthophotos
    • Akbari, H., S. Rose, and H. Taha. 2003. “Analyzing the Land Cover of an Urban Environment Using High-Resolution Orthophotos.” Landscape and Urban Planning 63 (1): 1–14. doi:10.1016/S0169-2046(02)00165-2.
    • (2003) Landscape and Urban Planning , vol.63 , Issue.1 , pp. 1-14
    • Akbari, H.1    Rose, S.2    Taha, H.3
  • 5
    • 84903592004 scopus 로고    scopus 로고
    • Land-Cover Change Analysis in 50 Global Cities by Using a Combination of Landsat Data and Analysis of Grid Cells
    • IOP Publishing
    • Bagan, H., and Y. Yamagata. 2014. “Land-Cover Change Analysis in 50 Global Cities by Using a Combination of Landsat Data and Analysis of Grid Cells.” Environmental Research Letters 9(6). IOP Publishing: 64015. doi:10.1088/1748-9326/9/6/064015.
    • (2014) Environmental Research Letters , vol.9 , Issue.6 , pp. 64015
    • Bagan, H.1    Yamagata, Y.2
  • 6
    • 77958600184 scopus 로고    scopus 로고
    • A Unified Theory of Urban Living
    • Bettencourt, L., and G. West. 2010. “A Unified Theory of Urban Living.” Nature 467 (913): 9–10. doi:10.1038/467912a.
    • (2010) Nature , vol.467 , Issue.913 , pp. 9-10
    • Bettencourt, L.1    West, G.2
  • 7
    • 84861757634 scopus 로고    scopus 로고
    • Classification in High-Dimensional Feature Spaces- Assessment Using SVM, IVM and RVM with Focus on Simulated EnMAP Data
    • Braun, A. C., U. Weidner, and S. Hinz. 2012. “Classification in High-Dimensional Feature Spaces- Assessment Using SVM, IVM and RVM with Focus on Simulated EnMAP Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (2): 436–443. doi:10.1109/JSTARS.2012.2190266.
    • (2012) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol.5 , Issue.2 , pp. 436-443
    • Braun, A.C.1    Weidner, U.2    Hinz, S.3
  • 9
    • 84961615797 scopus 로고    scopus 로고
    • Quantifying the Impact of Land use/Land Cover Changes on the Urban Heat Island: A Case Study of the Natural Wetlands Distribution Area of Fuzhou City, China
    • Cai, Y., H. Zhang, P. Zheng, and W. Pan. 2016. “Quantifying the Impact of Land use/Land Cover Changes on the Urban Heat Island: A Case Study of the Natural Wetlands Distribution Area of Fuzhou City, China.” Wetlands. doi:10.1007/s13157-016-0738-7.
    • (2016) Wetlands
    • Cai, Y.1    Zhang, H.2    Zheng, P.3    Pan, W.4
  • 10
    • 84884770420 scopus 로고    scopus 로고
    • Using Satellite Based Soil Moisture to Quantify the Water Driven Variability in NDVI: A Case Study over Mainland Australia
    • Chen, T., R. A. M. De Jeu, Y. Y. Liu, G. R. Van Der Werf, and A. J. Dolman. 2014. “Using Satellite Based Soil Moisture to Quantify the Water Driven Variability in NDVI: A Case Study over Mainland Australia.” Remote Sensing of Environment 140: 330–338. doi:10.1016/j.rse.2013.08.022.
    • (2014) Remote Sensing of Environment , vol.140 , pp. 330-338
    • Chen, T.1    de Jeu, R.A.M.2    Liu, Y.Y.3    van Der Werf, G.R.4    Dolman, A.J.5
  • 11
    • 79959765110 scopus 로고    scopus 로고
    • Empirical Models for Radiometric Calibration of Digital Aerial Frame Mosaics
    • Collings, S., P. Caccetta, and N. Campbell. 2011. “Empirical Models for Radiometric Calibration of Digital Aerial Frame Mosaics.” IEEE Transactions on Geoscience and Remote Sensing 49 (7): 2573– 2588. doi:10.1109/TGRS.2011.2108301.
    • (2011) IEEE Transactions on Geoscience and Remote Sensing , vol.49 , Issue.7 , pp. 2573-2588
    • Collings, S.1    Caccetta, P.2    Campbell, N.3
  • 12
    • 0035638349 scopus 로고    scopus 로고
    • Accuracy Assessment and Validation of Remotely Sensed and Other Spatial Information
    • Congalton, R. G. 2001. “Accuracy Assessment and Validation of Remotely Sensed and Other Spatial Information.” International Journal of Wildland Fire 10: 321–328. doi:10.1071/WF01031.
    • (2001) International Journal of Wildland Fire , vol.10 , pp. 321-328
    • Congalton, R.G.1
  • 13
    • 84937641889 scopus 로고    scopus 로고
    • Mapping Land Development through Periods of Economic Bubble and Bust in Massachusetts Using Landsat Time Series Data
    • Cunningham, S., J. Rogan, D. Martin, V. DeLauer, S. McCauley, and A. Shatz. 2015. “Mapping Land Development through Periods of Economic Bubble and Bust in Massachusetts Using Landsat Time Series Data.” GIScience & Remote Sensing 1603: 2016. doi:10.1080/15481603.2015.1045277.
    • (2015) Giscience & Remote Sensing , vol.1603
    • Cunningham, S.1    Rogan, J.2    Martin, D.3    Delauer, V.4    McCauley, S.5    Shatz, A.6
  • 15
    • 85019222244 scopus 로고    scopus 로고
    • Glimpses of Sustainability in Perth, Western Australia: Capturing and Communicating the Adaptive Capacity of an Activist Group
    • Dhakal, S. P. 2014. “Glimpses of Sustainability in Perth, Western Australia: Capturing and Communicating the Adaptive Capacity of an Activist Group.” Consilience: the Jounral of Sustainable Development 11 (1): 167–182.
    • (2014) Consilience: the Jounral of Sustainable Development , vol.11 , Issue.1 , pp. 167-182
    • Dhakal, S.P.1
  • 16
    • 80052543763 scopus 로고    scopus 로고
    • Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo
    • Dorais, A., and J. Cardille. 2011. “Strategies for Incorporating High-Resolution Google Earth Databases to Guide and Validate Classifications: Understanding Deforestation in Borneo.” Remote Sensing 3 (6): 1157–1176. doi:10.3390/rs3061157.
    • (2011) Remote Sensing , vol.3 , Issue.6 , pp. 1157-1176
    • Dorais, A.1    Cardille, J.2
  • 17
    • 29144536870 scopus 로고    scopus 로고
    • Smart Growth: Why We Discuss It More than We Do It
    • Downs, A. 2005. “Smart Growth: Why We Discuss It More than We Do It.” Journal of the American Planning Association 71 (4): 367–378. doi:10.1080/01944360508976707.
    • (2005) Journal of the American Planning Association , vol.71 , Issue.4 , pp. 367-378
    • Downs, A.1
  • 18
    • 84952945839 scopus 로고    scopus 로고
    • Locally Optimized Separability Enhancement Indices for Urban Land Cover Mapping: Exploring Thermal Environmental Consequences of Rapid Urbanization in Addis Ababa, Ethiopia
    • Feyisa, G. L., G. Henrik Meilby, D. Jenerette, and S. Pauliet. 2016. “Locally Optimized Separability Enhancement Indices for Urban Land Cover Mapping: Exploring Thermal Environmental Consequences of Rapid Urbanization in Addis Ababa, Ethiopia.” Remote Sensing of Environment 175: 14–31. doi:10.1016/j.rse.2015.12.026.
    • (2016) Remote Sensing of Environment , vol.175 , pp. 14-31
    • Feyisa, G.L.1    Henrik Meilby, G.2    Jenerette, D.3    Pauliet, S.4
  • 19
    • 33745756516 scopus 로고    scopus 로고
    • The Use of Small Training Sets Containing Mixed Pixels for Accurate Hard Image Classification: Training on Mixed Spectral Responses for Classification by a SVM
    • Foody, G. M., and A. Mathur. 2006. “The Use of Small Training Sets Containing Mixed Pixels for Accurate Hard Image Classification: Training on Mixed Spectral Responses for Classification by a SVM.” Remote Sensing of Environment 103 (2): 179–189. doi:10.1016/j.rse.2006.04.001.
    • (2006) Remote Sensing of Environment , vol.103 , Issue.2 , pp. 179-189
    • Foody, G.M.1    Mathur, A.2
  • 21
    • 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.” Remote Sensing Letters 1 (1): 45–54. doi:10.1080/01431160903252327.
    • (2010) Remote Sensing Letters , vol.1 , Issue.1 , pp. 45-54
    • Ghimire, B.1    Rogan, J.2    Miller, J.3
  • 22
  • 23
    • 84865427954 scopus 로고    scopus 로고
    • A Review of Large Area Monitoring of Land Cover Change Using Landsat Data
    • Hansen, M. C., and T. R. Loveland. 2012. “A Review of Large Area Monitoring of Land Cover Change Using Landsat Data.” Remote Sensing of Environment 122: 66–74. doi:10.1016/j.rse.2011.08.024.
    • (2012) Remote Sensing of Environment , vol.122 , pp. 66-74
    • Hansen, M.C.1    Loveland, T.R.2
  • 24
    • 84874233967 scopus 로고    scopus 로고
    • Urban Growth Patterns and Growth Management Boundaries in the Central Puget Sound, Washington, 1986-2007
    • Hepinstall-Cymerman, J., S. Coe, and L. R. Hutyra. 2013. “Urban Growth Patterns and Growth Management Boundaries in the Central Puget Sound, Washington, 1986-2007.” Urban Ecosystems 16 (1): 109–129. doi:10.1007/s11252-011-0206-3.
    • (2013) Urban Ecosystems , vol.16 , Issue.1 , pp. 109-129
    • Hepinstall-Cymerman, J.1    Coe, S.2    Hutyra, L.R.3
  • 25
  • 26
    • 0042999359 scopus 로고
    • London, UK: Cambridge University Press
    • Howard, L. 1988. The Climate of London. London, UK: Cambridge University Press.
    • (1988) The Climate of London
    • Howard, L.1
  • 27
    • 84921302189 scopus 로고    scopus 로고
    • A New Perspective to Assess the Urban Heat Island through Remotely Sensed Atmospheric Profiles
    • Hu, L., and N. A. Brunsell. 2015. “A New Perspective to Assess the Urban Heat Island through Remotely Sensed Atmospheric Profiles.” Remote Sensing of Environment 158: 393–406. doi:10.1016/j.rse.2014.10.022.
    • (2015) Remote Sensing of Environment , vol.158 , pp. 393-406
    • Hu, L.1    Brunsell, N.A.2
  • 28
    • 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 Q. Weng. 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 (10): 2089–2102. doi:10.1016/j.rse.2009.05.014.
    • (2009) Remote Sensing of Environment , vol.113 , Issue.10 , pp. 2089-2102
    • Hu, X.1    Weng, Q.2
  • 30
    • 0037138473 scopus 로고    scopus 로고
    • An Assessment of Support Vector Machines for Land Cover Classification
    • Huang, C., L. S. Davis, and J. R. G. Townshend. 2002. “An Assessment of Support Vector Machines for Land Cover Classification.” International Journal of Remote Sensing 23 (4): 725–749. doi:10.1080/01431160110040323.
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 31
    • 0031231143 scopus 로고    scopus 로고
    • A Technique for Using Composite DMSP/OLS ‘City Lights’ Satellite Data to Map Urban Area
    • Imhoff, M. L., W. T. Lawrence, D. C. Stutzer, and C. D. Elvidge. 1997. “A Technique for Using Composite DMSP/OLS ‘City Lights’ Satellite Data to Map Urban Area.” Remote Sensing of Environment 61 (3): 361–370. doi:10.1016/S0034-4257(97)00046-1.
    • (1997) Remote Sensing of Environment , vol.61 , Issue.3 , pp. 361-370
    • Imhoff, M.L.1    Lawrence, W.T.2    Stutzer, D.C.3    Elvidge, C.D.4
  • 32
    • 84865425646 scopus 로고    scopus 로고
    • Continental-Scale Validation of MODIS-Based and LEDAPS Landsat ETM+ Atmospheric Correction Methods
    • Ju, J., D. P. Roy, E. Vermote, J. Masek, and V. Kovalskyy. 2012. “Continental-Scale Validation of MODIS-Based and LEDAPS Landsat ETM+ Atmospheric Correction Methods.” Remote Sensing of Environment 122: 175–184. doi:10.1016/j.rse.2011.12.025.
    • (2012) Remote Sensing of Environment , vol.122 , pp. 175-184
    • Ju, J.1    Roy, D.P.2    Vermote, E.3    Masek, J.4    Kovalskyy, V.5
  • 33
    • 0038024324 scopus 로고    scopus 로고
    • Impact of Urbanization and Land-Use Change on Climate
    • Kalnay, E., and M. Cai. 2003. “Impact of Urbanization and Land-Use Change on Climate.” Nature 423: 528–531. doi:10.1038/nature01649.1.
    • (2003) Nature , vol.423 , pp. 528-531
    • Kalnay, E.1    Cai, M.2
  • 35
    • 47549103306 scopus 로고    scopus 로고
    • Perth, Western Australia
    • Kennewell, C., and B. J. Shaw. 2008. “Perth, Western Australia.” Cities 25 (4): 243–255. doi:10.1016/j. cities.2008.01.002.
    • (2008) Cities , vol.25 , Issue.4 , pp. 243-255
    • Kennewell, C.1    Shaw, B.J.2
  • 36
    • 38349031393 scopus 로고    scopus 로고
    • Machine Learning: A Review of Classification and Combining Techniques
    • Kotsiantis, S. B., I. D. Zaharakis, and P. E. Pintelas. 2006. “Machine Learning: A Review of Classification and Combining Techniques.” Artificial Intelligence Review 26 (3): 159–190. doi:10.1007/s10462-007-9052-3.
    • (2006) Artificial Intelligence Review , vol.26 , Issue.3 , pp. 159-190
    • Kotsiantis, S.B.1    Zaharakis, I.D.2    Pintelas, P.E.3
  • 37
    • 84894607481 scopus 로고    scopus 로고
    • Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery
    • Li, C., J. Wang, L. Wang, H. Luanyun, and P. Gong. 2014. “Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery.” Remote Sensing 6 (2): 964–983. doi:10.3390/rs6020964.
    • (2014) Remote Sensing , vol.6 , Issue.2 , pp. 964-983
    • Li, C.1    Wang, J.2    Wang, L.3    Luanyun, H.4    Gong, P.5
  • 38
    • 0035509491 scopus 로고    scopus 로고
    • Atmospheric Correction of Landsat ETM+ Land Surface Imagery. I.\nMethods
    • Liang, S., H. Fang, and M. Chen. 2001. “Atmospheric Correction of Landsat ETM+ Land Surface Imagery. I.\nMethods.” IEEE Transactions on Geoscience and Remote Sensing 39 (11): 2490–2498. doi:10.1109/36.964986.
    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.11 , pp. 2490-2498
    • Liang, S.1    Fang, H.2    Chen, M.3
  • 39
    • 84895907818 scopus 로고    scopus 로고
    • Methods to Extract Impervious Surface Areas from Satellite Images
    • Lu, D., L. Guiying, W. Kuang, and E. Moran. 2014. “Methods to Extract Impervious Surface Areas from Satellite Images.” International Journal of Digital Earth 7 (2015): 93–112. doi:10.1080/17538947.2013.866173.
    • (2014) International Journal of Digital Earth , vol.7 , Issue.2015 , pp. 93-112
    • Lu, D.1    Guiying, L.2    Kuang, W.3    Moran, E.4
  • 41
    • 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.” Remote Sensing of Environment 102 (1–2): 146–160. doi:10.1016/j.rse.2006.02.010.
    • (2006) Remote Sensing of Environment , vol.102 , Issue.1-2 , pp. 146-160
    • Lu, D.1    Weng, Q.2
  • 43
    • 85019228940 scopus 로고    scopus 로고
    • Urban Growth Dynamics in Perth, Western Australia: Using Applied Remote Sensing for Sustainable Future Planning
    • MacLachlan, A., E. Biggs, G. Roberts, and B. Boruff. 2017a. “Urban Growth Dynamics in Perth, Western Australia: Using Applied Remote Sensing for Sustainable Future Planning.” Land 6 (1): 9. doi:10.3390/land6010009.
    • (2017) Land , vol.6 , Issue.1 , pp. 9
    • Maclachlan, A.1    Biggs, E.2    Roberts, G.3    Boruff, B.4
  • 44
    • 85046248979 scopus 로고    scopus 로고
    • Classified Earth Observation Data between 1990 and 2015 for the Perth Metropolitan Region, Western Australia Using the Import Vector Machine Algorithm
    • MacLachlan, A., E. Biggs, G. Roberts, and B. Boruff. 2017b. Classified Earth Observation Data between 1990 and 2015 for the Perth Metropolitan Region, Western Australia Using the Import Vector Machine Algorithm. PANGAEA. doi:10.1594/PANGAEA.871017.
    • (2017) PANGAEA
    • Maclachlan, A.1    Biggs, E.2    Roberts, G.3    Boruff, B.4
  • 46
    • 85028139395 scopus 로고    scopus 로고
    • Community Responses and Adaptation Strategies toward Flood Hazard in Jakarta, Indonesia
    • Marfai, M. A., A. B. Sekaranom, and P. Ward. 2014. “Community Responses and Adaptation Strategies toward Flood Hazard in Jakarta, Indonesia.” Natural Hazards 75 (2): 1127–1144. doi:10.1007/s11069-014-1365-3.
    • (2014) Natural Hazards , vol.75 , Issue.2 , pp. 1127-1144
    • Marfai, M.A.1    Sekaranom, A.B.2    Ward, P.3
  • 48
    • 0034518841 scopus 로고    scopus 로고
    • Dynamics of Urban Growth in the Washington DC Metropolitan Area, 1973-1996, from Landsat Observations
    • Masek, J. G., F. E. Lindsay, and S. N. Goward. 2000. “Dynamics of Urban Growth in the Washington DC Metropolitan Area, 1973-1996, from Landsat Observations.” International Journal of Remote Sensing 21 (18): 3473–3486. doi:10.1080/014311600750037507.
    • (2000) International Journal of Remote Sensing , vol.21 , Issue.18 , pp. 3473-3486
    • Masek, J.G.1    Lindsay, F.E.2    Goward, S.N.3
  • 49
    • 0037400207 scopus 로고    scopus 로고
    • Cities from Space: Potential Applications of Remote Sensing in Urban Environmental Research and Policy
    • Miller, R. B., and C. Small. 2003. “Cities from Space: Potential Applications of Remote Sensing in Urban Environmental Research and Policy.” Environmental Science and Policy 6 (2): 129–137. doi:10.1016/S1462-9011(03)00002-9.
    • (2003) Environmental Science and Policy , vol.6 , Issue.2 , pp. 129-137
    • Miller, R.B.1    Small, C.2
  • 51
    • 79952070569 scopus 로고    scopus 로고
    • Per-Pixel Vs. Object- Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery
    • Myint, S. W., P. Gober, A. Brazel, S. Grossman-Clarke, and Q. Weng. 2011. “Per-Pixel Vs. Object- Based Classification of Urban Land Cover Extraction Using High Spatial Resolution Imagery.” Remote Sensing of Environment 115 (5): 1145–1161. doi:10.1016/j.rse.2010.12.017.
    • (2011) Remote Sensing of Environment , vol.115 , Issue.5 , pp. 1145-1161
    • Myint, S.W.1    Gober, P.2    Brazel, A.3    Grossman-Clarke, S.4    Weng, Q.5
  • 52
    • 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.” Remote Sensing of Environment 86 (4): 554–565. doi:10.1016/S0034-4257(03) 00132-9.
    • (2003) Remote Sensing of Environment , vol.86 , Issue.4 , pp. 554-565
    • Pal, M.1    Mather, P.M.2
  • 53
    • 67349170321 scopus 로고    scopus 로고
    • Automatic Generation of Seamline Network Using Area Voronoi Diagrams with Overlap
    • Pan, J., M. Wang, D. Li, and J. Li. 2009. “Automatic Generation of Seamline Network Using Area Voronoi Diagrams with Overlap.” IEEE Transactions on Geoscience and Remote Sensing 47 (6): 1737–1744. doi:10.1109/TGRS.2008.2009880.
    • (2009) IEEE Transactions on Geoscience and Remote Sensing , vol.47 , Issue.6 , pp. 1737-1744
    • Pan, J.1    Wang, M.2    Li, D.3    Li, J.4
  • 54
    • 67349222342 scopus 로고    scopus 로고
    • Characterizing Variability of the Urban Physical Environment for a Suite of Cities in Rondônia, Brazil
    • Powell, R., and D. Roberts. 2008. “Characterizing Variability of the Urban Physical Environment for a Suite of Cities in Rondônia, Brazil.” Earth Interactions 12 (13): 1–32. doi:10.1175/2008EI246.1.
    • (2008) Earth Interactions , vol.12 , Issue.13 , pp. 1-32
    • Powell, R.1    Roberts, D.2
  • 55
    • 81555195783 scopus 로고    scopus 로고
    • Characterizing Urban Land-Cover Change in Rondônia, Brazil: 1985 to 2000
    • Powell, R., and D. Roberts. 2010. “Characterizing Urban Land-Cover Change in Rondônia, Brazil: 1985 to 2000.” Journal of Latin American Geography 9 (3): 183–211. doi:10.1353/lag.2010.0028.
    • (2010) Journal of Latin American Geography , vol.9 , Issue.3 , pp. 183-211
    • Powell, R.1    Roberts, D.2
  • 56
    • 33845914584 scopus 로고    scopus 로고
    • Sub-Pixel Mapping of Urban Land Cover Using Multiple Endmember Spectral Mixture Analysis: Manaus, Brazil
    • Powell, R., D. Roberts, P. Dennison, and L. Hess. 2007. “Sub-Pixel Mapping of Urban Land Cover Using Multiple Endmember Spectral Mixture Analysis: Manaus, Brazil.” Remote Sensing of Environment 106 (2): 253–267. doi:10.1016/j.rse.2006.09.005.
    • (2007) Remote Sensing of Environment , vol.106 , Issue.2 , pp. 253-267
    • Powell, R.1    Roberts, D.2    Dennison, P.3    Hess, L.4
  • 57
    • 84890529076 scopus 로고    scopus 로고
    • Derivation of Urban Objects and Their Attributes for Large-Scale Urban Areas Based on Very High Resolution UltraCam True Orthophotos and nDSM – a Case Study Berlin, Germany
    • Poznanska, A., S. Bayer, and T. Bucher. 2013. “Derivation of Urban Objects and Their Attributes for Large-Scale Urban Areas Based on Very High Resolution UltraCam True Orthophotos and nDSM – a Case Study Berlin, Germany.” Proceedings of the SPIE 13. doi:10.1117/12.2030000.
    • (2013) Proceedings of the SPIE 13
    • Poznanska, A.1    Bayer, S.2    Bucher, T.3
  • 58
    • 84924434517 scopus 로고    scopus 로고
    • Local Spatially Dependent Driving Forces of Urban Expansion in an Emerging Asian Megacity: The Case of Greater Jakarta (Jabodetabek)
    • Pravitasari, A. E., I. Saizen, N. Tsutsumida, E. Rustiadi, and D. O. Pribadi. 2015. “Local Spatially Dependent Driving Forces of Urban Expansion in an Emerging Asian Megacity: The Case of Greater Jakarta (Jabodetabek).” Journal of Sustainable Development 8 (1): 108–120. doi:10.5539/jsd.v8n1p108.
    • (2015) ” Journal of Sustainable Development , vol.8 , Issue.1
    • Pravitasari, A.E.1    Saizen, I.2    Tsutsumida, N.3    Rustiadi, E.4    Pribadi, D.O.5
  • 59
    • 0029521079 scopus 로고
    • Exploring A V-I-S Model for Urban Ecosystem through Remote Sensing: A Comparative Ananomy for Cities
    • Ridd, M. K. 1995. “Exploring A V-I-S Model for Urban Ecosystem through Remote Sensing: A Comparative Ananomy for Cities.” International Journal of Remote Sensing. doi:10.1080/01431169508954549.
    • (1995) International Journal of Remote Sensing
    • Ridd, M.K.1
  • 60
    • 84861743393 scopus 로고    scopus 로고
    • I 2VM: Incremental Import Vector Machines
    • Roscher, R., W. Förstner, and B. Waske. 2012. “I 2VM: Incremental Import Vector Machines.” Image and Vision Computing 30: 263–278. doi:10.1016/j.imavis.2012.04.004.
    • (2012) Image and Vision Computing , vol.30 , pp. 263-278
    • Roscher, R.1    Förstner, W.2    Waske, B.3
  • 62
    • 84864044765 scopus 로고    scopus 로고
    • Monitoring Land Cover Change in Urban and Peri-Urban Areas Using Dense Time Stacks of Landsat Satellite Data and a Data Mining Approach
    • Schneider, A. 2012. “Monitoring Land Cover Change in Urban and Peri-Urban Areas Using Dense Time Stacks of Landsat Satellite Data and a Data Mining Approach.” Remote Sensing of Environment 124: 689–704. doi:10.1016/j.rse.2012.06.006.
    • (2012) Remote Sensing of Environment , vol.124 , pp. 689-704
    • Schneider, A.1
  • 63
    • 77955326628 scopus 로고    scopus 로고
    • Mapping Global Urban Areas Using MODIS 500-M Data: New Methods and Datasets Based on ‘Urban Ecoregions
    • Schneider, A., M. Friedl, and D. Potere. 2010. “Mapping Global Urban Areas Using MODIS 500-M Data: New Methods and Datasets Based on ‘Urban Ecoregions.’.” Remote Sensing of Environment 114 (8): 1733–1746. doi:10.1016/j.rse.2010.03.003.
    • (2010) Remote Sensing of Environment , vol.114 , Issue.8 , pp. 1733-1746
    • Schneider, A.1    Friedl, M.2    Potere, D.3
  • 64
    • 70450253287 scopus 로고    scopus 로고
    • A New Map of Global Urban Extent from MODIS Satellite Data
    • Schneider, A., M. A. Friedl, and D. Potere. 2009. “A New Map of Global Urban Extent from MODIS Satellite Data.” Environmental Research Letters 4 (4): 44003. doi:10.1088/1748-9326/4/4/044003.
    • (2009) Environmental Research Letters , vol.4 , Issue.4 , pp. 44003
    • Schneider, A.1    Friedl, M.A.2    Potere, D.3
  • 65
    • 84928096344 scopus 로고    scopus 로고
    • Expansion and Growth in Chinese Cities, 1978–2010
    • Schneider, A., and C. M. Mertes. 2014. “Expansion and Growth in Chinese Cities, 1978–2010.” Environmental Research Letters 9 (2): 24008. doi:10.1088/1748-9326/9/2/024008.
    • (2014) Environmental Research Letters , vol.9 , Issue.2
    • Schneider, A.1    Mertes, C.M.2
  • 66
    • 21344458771 scopus 로고    scopus 로고
    • Urban Growth in Chengdu, Western China: Application of Remote Sensing to Assess Planning and Policy Outcomes
    • Schneider, A., K. Seto, and D. Webster. 2005. “Urban Growth in Chengdu, Western China: Application of Remote Sensing to Assess Planning and Policy Outcomes.” Environment and Planning B: Planning and Design 32 (3): 323–345. doi:10.1068/b31142.
    • (2005) Environment and Planning B: Planning and Design , vol.32 , Issue.3 , pp. 323-345
    • Schneider, A.1    Seto, K.2    Webster, D.3
  • 67
    • 84869865583 scopus 로고    scopus 로고
    • Urban Growth of the Washington, D.C.–Baltimore, MD Metropolitan Region from 1984 to 2010 by Annual, Landsat-Based Estimates of Impervious Cover
    • Sexton, J. O., X.-P. Song, C. Huang, C. Saurabh, M. E. Baker, and J. R. Townshend. 2013. “Urban Growth of the Washington, D.C.–Baltimore, MD Metropolitan Region from 1984 to 2010 by Annual, Landsat-Based Estimates of Impervious Cover.” Remote Sensing of Environment 129: 42– 53. doi:10.1016/j.rse.2012.10.025.
    • (2013) Remote Sensing of Environment , vol.129 , pp. 42-53
    • Sexton, J.O.1    Song, X.-P.2    Huang, C.3    Saurabh, C.4    Baker, M.E.5    Townshend, J.R.6
  • 68
    • 84924500052 scopus 로고    scopus 로고
    • Comparative Analysis of Surface Urban Heat Island Effect in Central Sydney
    • Sharifi, E., and S. Lehmann. 2014. “Comparative Analysis of Surface Urban Heat Island Effect in Central Sydney.” Journal of Sustainable Development 7 (3): 23–34. doi:10.5539/jsd.v7n3p23.
    • (2014) Journal of Sustainable Development , vol.7 , Issue.3 , pp. 23-34
    • Sharifi, E.1    Lehmann, S.2
  • 69
    • 84952783724 scopus 로고    scopus 로고
    • Characterizing the Magnitude, Timing and Duration of Urban Growth from Time Series of Landsat-Based Estimates of Impervious Cover
    • Song, X.-P., J. O. Sexton, C. Huang, S. Channan, and J. R. Townshend. 2016. “Characterizing the Magnitude, Timing and Duration of Urban Growth from Time Series of Landsat-Based Estimates of Impervious Cover.” Remote Sensing of Environment 175: 1–13. doi:10.1016/j.rse.2015.12.027.
    • (2016) Remote Sensing of Environment , vol.175 , pp. 1-13
    • Song, X.-P.1    Sexton, J.O.2    Huang, C.3    Channan, S.4    Townshend, J.R.5
  • 72
    • 0038015719 scopus 로고    scopus 로고
    • Poverty and Vulnerability in Indonesia before and after the Economic Crisis
    • Suryahadi, A., and S. Sumarto. 2003. “Poverty and Vulnerability in Indonesia before and after the Economic Crisis.” Asian Economic Journal 17 (1): 45–64. doi:10.1111/1351-3958.00161.
    • (2003) Asian Economic Journal , vol.17 , Issue.1 , pp. 45-64
    • Suryahadi, A.1    Sumarto, S.2
  • 73
    • 38049134453 scopus 로고    scopus 로고
    • The Emergence of Land Change Science for Global Environmental Change and Sustainability
    • Turner, B., E. Lambin, and A. Reenberg. 2010. “The Emergence of Land Change Science for Global Environmental Change and Sustainability.” PNAS 103 (128): 13070–13075. doi:10.1073/pnas.0704119104.
    • (2010) PNAS , vol.103 , Issue.128 , pp. 13070-13075
    • Turner, B.1    Lambin, E.2    Reenberg, A.3
  • 74
    • 85046283134 scopus 로고    scopus 로고
    • Housing Profile: United States. U.S. Department of Housing and Uban Development. Washington
    • U.S. Department of Commerce. 2013. 2013 Housing Profile: United States. U.S. Department of Housing and Uban Development. Washington, USA: United States Census Bureau.
    • (2013) USA: United States Census Bureau
  • 76
    • 84891383980 scopus 로고    scopus 로고
    • A Comparative Study of Built-Up Index Approaches for Automated Extraction of Built-Up Regions from Remote Sensing Data
    • Varshney, A., and E. Rajesh. 2014. “A Comparative Study of Built-Up Index Approaches for Automated Extraction of Built-Up Regions from Remote Sensing Data.” Journal of the Indian Society of Remote Sensing 42: 1–5. doi:10.1007/s12524-013-0333-9.
    • (2014) Journal of the Indian Society of Remote Sensing , vol.42 , pp. 1-5
    • Varshney, A.1    Rajesh, E.2
  • 78
    • 84886598380 scopus 로고    scopus 로고
    • Spectral Unmixing Model Based on Least Squares Support Vector Machine with Unmixing Residue Constraints
    • Wang, L., D. Liu, Q. Wang, and Y. Wang. 2013. “Spectral Unmixing Model Based on Least Squares Support Vector Machine with Unmixing Residue Constraints.” Ieee Geoscience and Remote Sensing Letters 10 (6): 1592–1596. 10.1109/LGRS.2013.2262371.
    • (2013) Ieee Geoscience and Remote Sensing Letters , vol.10 , Issue.6 , pp. 1592-1596
    • Wang, L.1    Liu, D.2    Wang, Q.3    Wang, Y.4
  • 79
    • 0029542552 scopus 로고
    • On the Derivation of Kernels for Kernel-Driven Models of Bidirectional Reflectance
    • Wanner, W., X. Li, and A. H. Strahler. 1995. “On the Derivation of Kernels for Kernel-Driven Models of Bidirectional Reflectance.” Journal of Geophysical Research 100 (D10): 21077. doi:10.1029/95JD02371.
    • (1995) Journal of Geophysical Research , vol.100 , Issue.D10
    • Wanner, W.1    Li, X.2    Strahler, A.H.3
  • 80
    • 38949149377 scopus 로고    scopus 로고
    • Multisource Classification Using Support Vector Machines: An Empirical Comparison with Decision Tree and Neural Network Classifiers
    • Watanachaturaporn, P., M. K. Arora, and P. K. Varshney. 2008. “Multisource Classification Using Support Vector Machines: An Empirical Comparison with Decision Tree and Neural Network Classifiers.” Photogrammetric Engineering and Remote Sensing 74 (2): 239–246. doi:10.14358/PERS.74.2.239.
    • (2008) Photogrammetric Engineering and Remote Sensing , vol.74 , Issue.2 , pp. 239-246
    • Watanachaturaporn, P.1    Arora, M.K.2    Varshney, P.K.3
  • 81
    • 84887154520 scopus 로고    scopus 로고
    • Mapping and Assessing of Urban Impervious Areas Using Multiple Endmember Spectral Mixture Analysis: A Case Study in the City of Tampa, Florida
    • Weng, F., and P. Ruiliang. 2013. “Mapping and Assessing of Urban Impervious Areas Using Multiple Endmember Spectral Mixture Analysis: A Case Study in the City of Tampa, Florida.” Geocarto International 28 (7): 594–615. doi:10.1080/10106049.2013.764355.
    • (2013) Geocarto International , vol.28 , Issue.7 , pp. 594-615
    • Weng, F.1    Ruiliang, P.2
  • 82
    • 0035192377 scopus 로고    scopus 로고
    • Modeling Urban Growth Effects on Surface Runoff with the Integration of Remote Sensing and GIS
    • Weng, Q. 2001. “Modeling Urban Growth Effects on Surface Runoff with the Integration of Remote Sensing and GIS.” Environmental Management 28 (6): 737–748. doi:10.1007/s002670010258.
    • (2001) Environmental Management , vol.28 , Issue.6 , pp. 737-748
    • Weng, Q.1
  • 86
    • 0141569028 scopus 로고    scopus 로고
    • Development of a Geospatial Model to Quantify, Describe and Map Urban Growth
    • Wilson, E. H., J. D. Hurd, D. L. Civco, M. P. Prisloe, and C. Arnold. 2003. “Development of a Geospatial Model to Quantify, Describe and Map Urban Growth.” Remote Sensing of Environment 86 (3): 275–285. doi:10.1016/S0034-4257(03)00074-9.
    • (2003) Remote Sensing of Environment , vol.86 , Issue.3 , pp. 275-285
    • Wilson, E.H.1    Hurd, J.D.2    Civco, D.L.3    Prisloe, M.P.4    Arnold, C.5
  • 87
    • 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.” Remote Sensing of Environment 84: 493–505. doi:10.1016/S0034-4257(02)00136-0.
    • (2003) Remote Sensing of Environment , vol.84 , pp. 493-505
    • Wu, C.1    Murray, A.T.2
  • 88
    • 84944318185 scopus 로고    scopus 로고
    • Impact Of Urbanization On Urban Heat Island Effect Based On TM Imagery In Wuhan
    • Xie, Q., and Z. Zhou. 2015. “Impact Of Urbanization On Urban Heat Island Effect Based On TM Imagery In Wuhan, China.” Environmental Engineering and Management Journal 14 (3): 647–655.
    • (2015) China.” Environmental Engineering and Management Journal , vol.14 , Issue.3 , pp. 647-655
    • Xie, Q.1    Zhou, Z.2
  • 89
    • 25844497537 scopus 로고    scopus 로고
    • Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing
    • Yuan, F., K. E. Sawaya, B. C. Loeffelholz, and M. E. Bauer. 2005. “Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing.” Remote Sensing of Environment 98 (2): 317–328. doi:10.1016/j.rse.2005.08.006.
    • (2005) Remote Sensing of Environment , vol.98 , Issue.2 , pp. 317-328
    • Yuan, F.1    Sawaya, K.E.2    Loeffelholz, B.C.3    Bauer, M.E.4
  • 90
    • 15944424353 scopus 로고    scopus 로고
    • Kernel Logistic Regression and the Import Vector Machine
    • Zhu, J., and T. Hastie. 2005. “Kernel Logistic Regression and the Import Vector Machine.” Journal of Computational and Graphical Statistics 14 (2015): 185–205. doi:10.1198/106186005X25619.
    • (2005) Journal of Computational and Graphical Statistics , vol.14 , Issue.2015 , pp. 185-205
    • Zhu, J.1    Hastie, T.2
  • 91
    • 84893747703 scopus 로고    scopus 로고
    • Continuous Change Detection and Classification of Land Cover Using All Available Landsat Data
    • Zhu, Z., and C. E. Woodcock. 2014. “Continuous Change Detection and Classification of Land Cover Using All Available Landsat Data.” Remote Sensing of Environment 144: 152–171. doi:10.1016/j. rse.2014.01.011.
    • (2014) Remote Sensing of Environment , vol.144 , pp. 152-171
    • Zhu, Z.1    Woodcock, C.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.