5,743
Views
173
CrossRef citations to date
0
Altmetric
Articles

Built-up area extraction using Landsat 8 OLI imagery

&
Pages 445-467 | Received 23 Feb 2014, Accepted 25 Jun 2014, Published online: 24 Jul 2014

References

  • Acerbi-Junior, F. W., R. Zurita Milla, M. Wachowicz, J. G. P. W. Clevers, and M. E. Schaepman. 2005. “MODIS and Landsat TM Image Fusion Using the Sifulap Method for Mapping the Brazilian Savannas (Cerrado).” In Global Developments in Environmental Earth Observation from Space. Proceedings of the 25th EARSeL Symposium, 71–79. Porto: Millpress Science.
  • Ahmad, R., and R. P. Singh. 2002. “Comparison of Various Data Fusion for Surface Features Extraction Using IRS Pan and LISS-III Data.” Advances in Space Research 29 (1): 73–78. doi:10.1016/S0273-1177(01)00631-7.
  • Bannari, A., D. Morin, F. Bonn, and A. R. Huete. 1995. “A Review of Vegetation Indices.” Remote Sensing Reviews 13 (1–2): 95–120. doi:10.1080/02757259509532298.
  • Bauer, M. E., N. J. Heinert, J. K. Doyle, and F. Yuan. 2004. “Impervious Surface Mapping and Change Monitoring Using Landsat Remote Sensing.” In Proceedings, American Society of Photogrammetry and Remote Sensing Annual Conference, Denver, CO, May 24–28.
  • Bertrand-Krajewski, J.-L., S. Barraud, and B. Chocat. 2000. “Need for Improved Methodologies and Measurements for Sustainable Management of Urban Water Systems.” Environmental Impact Assessment Review 20 (3): 323–331. doi:10.1016/S0195-9255(00)00044-5.
  • Bureau of Statistics. 2012. Punjab Development Statistics 2012. Lahore: Bureau of Statistics, Government of the Punjab.
  • Chao, Z., and M. Sheng. 2001. “Study on Extraction Methods for Water Information in Nantong City, China Using Landsat ETM+ Data.” In International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE), 771–774. Nanjing: IEEE.
  • Chavez, P., S. C. Sides, and J. A. Anderson. 1991. “Comparison of Three Different Methods to Merge Multiresolution and Multispectral Data – Landsat TM and SPOT Panchromatic.” Photogrammetric Engineering and Remote Sensing 57 (3): 295–303.
  • Chen, J., P. Gong, C. He, R. Pu, and P. Shi. 2003. “Land-Use/Land-Cover Change Detection Using Improved Change-Vector Analysis.” Photogrammetric Engineering & Remote Sensing 69 (4): 369–379. doi:10.14358/PERS.69.4.369.
  • Civco, D. L., J. D. Hurd, E. H. Wilson, C. L. Arnold, and M. P. Prisloe Jr. 2002. “Quantifying and Describing Urbanizing Landscapes in the Northeast United States.” Photogrammetric Engineering and Remote Sensing 68 (10): 1083−1090.
  • Cleve, C., M. Kelly, F. R. Kearns, and M. Moritz. 2008. “Classification of the Wildland–Urban Interface: A Comparison of Pixel- and Object-Based Classifications Using High-Resolution Aerial Photography.” Computers, Environment and Urban Systems 32 (4): 317–326. doi:10.1016/j.compenvurbsys.2007.10.001.
  • Cohen, B. 2006. “Urbanization in Developing Countries: Current Trends, Future Projections, and Key Challenges for Sustainability.” Technology in Society 28 (1–2): 63–80. doi:10.1016/j.techsoc.2005.10.005.
  • Congalton, R. G. 1991. “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” Remote Sensing of Environment 37 (1): 35–46. doi:10.1016/0034-4257(91)90048-B.
  • Deng, C., and C. Wu. 2013. “A Spatially Adaptive Spectral Mixture Analysis for Mapping Subpixel Urban Impervious Surface Distribution.” Remote Sensing of Environment 133: 62–70. doi:10.1016/j.rse.2013.02.005.
  • Dozier, J. 1989. “Spectral Signature of Alpine Snow Cover from the Landsat Thematic Mapper.” Remote Sensing of Environment 28: 9–22. doi:10.1016/0034-4257(89)90101-6.
  • Gangkofner, U. G., P. S. Pradhan, and D. W. Holcomb. 2008. “Optimizing the High-Pass Filter Addition Technique for Image Fusion.” Photogrammetric Engineering & Remote Sensing 74 (9): 1107–1118. doi:10.14358/PERS.74.9.1107.
  • Gao, J. 2008. “Mapping of Land Degradation from ASTER Data: A Comparison of Object-Based and Pixel-Based Methods.” GiScience & Remote Sensing 45 (2): 149–166. doi:10.2747/1548-1603.45.2.149.
  • Gartland, L. 2010. Heat Islands: Understanding and Mitigating Heat in Urban Areas. London: Earthscan.
  • Gitelson, A. A., and Y. J. Kaufman. 1998. “MODIS NDVI Optimization to Fit the AVHRR Data Series – Spectral Considerations.” Remote Sensing of Environment 66 (3): 343–350. doi:10.1016/S0034-4257(98)00065-0.
  • Gitelson, A. A., and M. N. Merzlyak. 1996. “Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll.” Journal of Plant Physiology 148 (3–4): 494–500. doi:10.1016/S0176-1617(96)80284-7.
  • Goward, S. N. 1981. “Thermal Behavior of Urban Landscapes and the Urban Heat Island.” Physical Geography 2 (1): 19–33.
  • Griffiths, P., P. Hostert, O. Gruebner, and V. D. L. Sebastian. 2010. “Mapping Megacity Growth with Multi-Sensor Data.” Remote Sensing of Environment 114 (2): 426–439. doi:10.1016/j.rse.2009.09.012.
  • Guindon, B., Y. Zhang, and C. Dillabaugh. 2004. “Landsat Urban Mapping Based on a Combined Spectral–Spatial Methodology.” Remote Sensing of Environment 92 (2): 218–232. doi:10.1016/j.rse.2004.06.015.
  • Hall, D. K., G. A. Riggs, and V. V. Salomonson. 1995. “Development of Methods for Mapping Global Snow Cover Using Moderate Resolution Imaging Spectroradiometer Data.” Remote Sensing of Environment 54 (2): 127–140. doi:10.1016/0034-4257(95)00137-P.
  • He, C., P. Shi, D. Xie, and Y. Zhao. 2010. “Improving the Normalized Difference Built-Up Index to Map Urban Built-Up Areas Using a Semiautomatic Segmentation Approach.” Remote Sensing Letters 1 (4): 213–221. doi:10.1080/01431161.2010.481681.
  • Herold, M., D. A. Roberts, M. E. Gardner, and P. E. Dennison. 2004. “Spectrometry for Urban Area Remote Sensing–Development and Analysis of a Spectral Library from 350 to 2400 Nm.” Remote Sensing of Environment 91 (3–4): 304–319. doi:10.1016/j.rse.2004.02.013.
  • Huete, A. R., and R. D. Jackson. 1987. “Suitability of Spectral Indices for Evaluating Vegetation Characteristics on Arid Rangelands.” Remote Sensing of Environment 23 (2): 213–232. doi:10.1016/0034-4257(87)90038-1.
  • Jawak, S. D., and A. J. Luis. 2013. “A Comprehensive Evaluation of PAN-Sharpening Algorithms Coupled with Resampling Methods for Image Synthesis of Very High Resolution Remotely Sensed Satellite Data.” Advances in Remote Sensing 2: 332–344. doi:10.4236/ars.2013.24036.
  • Jensen, J. R. 2006. Remote Sensing of the Environment: An Earth Resource Perspective. 2nd ed. Upper Saddle River, NJ: Prentice Hall.
  • Jolliffe, I. T. 2002. “Graphical Representation of Data Using Principal Components.” In Principal Component Analysis, edited by I. T. Jolliffe, 78–110. New York: Springer.
  • Joseph, G. 2005. Fundamentals of Remote Sensing. 2nd ed. Hyderabad: Universities Press (India) Private Limited.
  • Jusuf, S. K., N. H. Wong, E. Hagen, R. Anggoro, and Y. Hong. 2007. “The Influence of Land Use on the Urban Heat Island in Singapore.” Habitat International 31 (2): 232–242. doi:10.1016/j.habitatint.2007.02.006.
  • Kim, H. H. 1992. “Urban Heat Island.” International Journal of Remote Sensing 13 (12): 2319–2336. doi:10.1080/01431169208904271.
  • Knight, J. F., R. S. Lunetta, J. Ediriwickrema, and S. Khorram. 2006. “Regional Scale Land Cover Characterization Using MODIS-NDVI 250 M Multi-Temporal Imagery: A Phenology-Based Approach.” GiScience & Remote Sensing 43 (1): 1–23. doi:10.2747/1548-1603.43.1.1.
  • Lambin, E. F., and H. J. Geist. 2001. “Global Land-Use and Land-Cover Change: What Have We Learned so Far?” Global Change Newsletter 46 (6): 27–30.
  • Lein, J. K. 2006. “Toward the Rapid Characterization of the Built Environment within the Wildland-Urban Interface: A Soft Classification Strategy.” GiScience & Remote Sensing 43 (2): 179–196. doi:10.2747/1548-1603.43.2.179.
  • Lillesand, T. M., R. W. Kiefer, and J. W. Chipman. 2004. Remote Sensing and Image Interpretation. New York: John Wiley.
  • Lo, C. P. 2004. “Testing Urban Theories Using Remote Sensing.” GiScience & Remote Sensing 41 (2): 95–115. doi:10.2747/1548-1603.41.2.95.
  • Lu, D., and Q. Weng. 2004. “Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM+ Imagery.” Photogrammetric Engineering & Remote Sensing 70 (9): 1053–1062. doi:10.14358/PERS.70.9.1053.
  • Lwin, K. K., and Y. Murayama. 2013. “Evaluation of Land Cover Classification Based on Multispectral versus Pansharpened Landsat ETM+ Imagery.” GiScience & Remote Sensing 50 (4): 458–472.
  • Maktav, D., F. S. Erbek, and C. Jürgens. 2005. “Remote Sensing of Urban Areas.” International Journal of Remote Sensing 26 (4): 655–659. doi:10.1080/01431160512331316469.
  • Mallick, J., Y. Kant, and B. D. Bharath. 2008. “Estimation of Land Surface Temperature over Delhi Using Landsat-7 ETM+.” Journal of Indian Geophysical Union 12 (3): 131–140.
  • Maynard, C. L., R. L. Lawrence, G. A. Nielsen, and G. Decker. 2007. “Modeling Vegetation Amount Using Bandwise Regression and Ecological Site Descriptions as an Alternative to Vegetation Indices.” GiScience & Remote Sensing 44 (1): 68–81. doi:10.2747/1548-1603.44.1.68.
  • Mcfeeters, S. K. 1996. “The Use of the Normalized Difference Water Index (NDWI) in the Delineation of Open Water Features.” International Journal of Remote Sensing 17 (7): 1425–1432. doi:10.1080/01431169608948714.
  • Ogashawara, I., and V. S. B. Bastos. 2012. “A Quantitative Approach for Analyzing the Relationship between Urban Heat Islands and Land Cover.” Remote Sensing 4 (12): 3596–3618. doi:10.3390/rs4113596.
  • Oke, T. R. 1982. “The Energetic Basis of the Urban Heat Island.” Quarterly Journal of Royal Meteorological Society 108 (455): 1–24.
  • Oke, T. R. 1973. “City Size and the Urban Heat Island.” Atmospheric Environment (1967) 7 (8): 769–779. doi:10.1016/0004-6981(73)90140-6.
  • Perepechko, A. S., J. K. Graybill, C. Zumbrunnen, and D. Sharkov. 2005. “Spatial Database Development for Russian Urban Areas: A New Conceptual Framework.” GiScience & Remote Sensing 42 (2): 144–170. doi:10.2747/1548-1603.42.2.144.
  • Powell, R. L., D. A. Roberts, P. E. Dennison, and L. 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.
  • Richards, J. A. 2013. Remote Sensing Digital Image Analysis: An Introduction. 5th ed. New York: Springer.
  • Rosa, D. L., and D. Wiesmann. 2013. “Land Cover and Impervious Surface Extraction Using Parametric and Non-Parametric Algorithms from the Open-Source Software R: An Application to Sustainable Urban Planning in Sicily.” GiScience & Remote Sensing 50 (2): 231–250.
  • Showengerdt, R. A. 1980. “Reconstruction of Multispatial, Multispectral Image Data Using Spatial Frequency Contents.” Photogrammetric Engineering and Remote Sensing 46 (10): 1325–1334.
  • Small, C. 2003. “High Spatial Resolution Spectral Mixture Analysis of Urban Reflectance.” Remote Sensing of Environment 88 (1–2): 170–186. doi:10.1016/j.rse.2003.04.008.
  • Teillet, P. M., K. Staenz, and D. J. William. 1997. “Effects of Spectral, Spatial, and Radiometric Characteristics on Remote Sensing Vegetation Indices of Forested Regions.” Remote Sensing of Environment 61 (1): 139–149. doi:10.1016/S0034-4257(96)00248-9.
  • Thomas, N., C. Hendrix, and R. G. Congalton. 2003. “A Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery.” Photogrammetric Engineering & Remote Sensing 69 (9): 963–972. doi:10.14358/PERS.69.9.963.
  • Tran, H., D. Uchihama, S. Ochi, and Y. Yasuoka. 2006. “Assessment with Satellite Data of the Urban Heat Island Effects in Asian Mega Cities.” International Journal of Applied Earth Observation and Geoinformation 8 (1): 34–48. doi:10.1016/j.jag.2005.05.003.
  • USGS. 2013a. “Frequently Asked Questions About the Landsat Missions.” Accessed November 6. http://landsat.usgs.gov/L8_band_combos.php.
  • USGS. 2013b. “Using the USGS Landsat 8 Product.” Accessed November 7. https://landsat.usgs.gov/Landsat8_Using_Product.php.
  • Voogt, J. A., and T. R. Oke. 2003. “Thermal Remote Sensing of Urban Climates.” Remote Sensing of Environment 86 (3): 370–384. doi:10.1016/S0034-4257(03)00079-8.
  • Vrabel, J. 2000. “Multispectral Imagery Advanced Band Sharpening Study.” Photogrammetric Engineering & Remote Sensing 66 (1): 73–79.
  • Walker, J. J., K. M. De Beurs, R. H. Wynne, and F. Gao. 2012. “Evaluation of Landsat and MODIS Data Fusion Products for Analysis of Dryland Forest Phenology.” Remote Sensing of Environment 117: 381–393. doi:10.1016/j.rse.2011.10.014.
  • Wang, Z., D. Ziou, C. Armenakis, D. Li, and Q. Li. 2005. “A Comparative Analysis of Image Fusion Methods.” IEEE Transactions on Geoscience and Remote Sensing 43 (6): 1391–1402. doi:10.1109/TGRS.2005.846874.
  • Welch, R. 1982. “Spatial Resolution Requirements for Urban Studies.” International Journal of Remote Sensing 3 (2): 139–146. doi:10.1080/01431168208948387.
  • Weng, Q. 2001. “A Remote Sensing-GIS Evaluation of Urban Expansion and Its Impact on Surface Temperature in the Zhujiang Delta, China.” International Journal of Remote Sensing 22 (10): 1999–2014.
  • Weng, Q., D. Lu, and J. Schubring. 2004. “Estimation of Land Surface Temperature–Vegetation Abundance Relationship for Urban Heat Island Studies.” Remote Sensing of Environment 89 (4): 467–483. doi:10.1016/j.rse.2003.11.005.
  • Xu, H. 2005. “A Study on Information Extraction of Water Body with the Modified Normalized Difference Water Index (MNDWI).” Journal of Remote Sensing 9 (5): 511–517.
  • Xu, H. 2008. “A New Index for Delineating Built-Up Land Features in Satellite Imagery.” International Journal of Remote Sensing 29 (14): 4269–4276. doi:10.1080/01431160802039957.
  • Yuan, F., and M. E. Bauer. 2007. “Comparison of Impervious Surface Area and Normalized Difference Vegetation Index as Indicators of Surface Urban Heat Island Effects in Landsat Imagery.” Remote Sensing of Environment 106 (3): 375–386. doi:10.1016/j.rse.2006.09.003.
  • Zha, Y., J. Gao, and S. Ni. 2003. “Use of Normalized Difference Built-Up Index in Automatically Mapping Urban Areas from TM Imagery.” International Journal of Remote Sensing 24 (3): 583–594. doi:10.1080/01431160304987.
  • Zhang, Q., G. Pavlic, W. Chen, R. Fraser, S. Leblanc, and J. Cihlar. 2005. “A Semi-Automatic Segmentation Procedure for Feature Extraction in Remotely Sensed Imagery.” Computers & Geosciences 31 (3): 289–296. doi:10.1016/j.cageo.2004.10.003.
  • Zhangyan, J., C. Yunhao, and L. Jing. 2006. “On Urban Heat Island of Beijing Based on Landsat TM Data.” Geo-Spatial Information Science 9 (4): 293–297. doi:10.1007/BF02826743.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.