Advanced search
Publication Cover
Remote Sensing Letters Volume 5, 2014 - Issue 10
Submit an article Journal homepage
1,226
Views
56
CrossRef citations to date
0
Altmetric
Articles

A new index for mapping built-up and bare land areas from Landsat-8 OLI data

Yi ZhouInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
,
Guang YangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;University of Chinese Academy of Sciences, Beijing, ChinaCorrespondence[email protected]
,
Shixin WangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
,
Litao WangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
,
Futao WangInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China
&
Xiongfei LiuInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China;University of Chinese Academy of Sciences, Beijing, China
Pages 862-871 | Received 19 May 2014, Accepted 02 Oct 2014, Published online: 20 Oct 2014

References

  • As-Syakur, A. R., I. W. S. Adnyana, I. W. Arthana, and I. W. Nuarsa. 2012. “Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area.” Remote Sensing 4: 2957–2970. doi:10.3390/rs4102957.
  • Chu, Q., H. Zhang, Y. Wu, Z. Feng, and B. Chen. 2013. “Application Research of Landsat-8.” Remote Sensing Information 28: 110–114. url: <Go to ISI>://CSCD:4911019
  • Griffiths, P., P. Hostert, O. Gruebner, and S. van der Linden. 2010. “Mapping Megacity Growth with Multi-Sensor Data.” Remote Sensing of Environment 114: 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: 218–232. doi:10.1016/j.rse.2004.06.015.
  • 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: 213–221. doi:10.1080/01431161.2010.481681.
  • Huang, T., Q. Shi, and Q. Shi. 2013. “Validate Classification Precision of Low Spatial Resolution Remote Sensing Data by Using High Spatial Resolution Data.” Journal of Xinjiang University (Natural Science Edition) 30: 238–242.
  • Kayadibi, O., and D. Aydal 2013. “Quantitative and Comparative Examination of the Spectral Features Characteristics of the Surface Reflectance Information Retrieved from the Atmospherically Corrected Images of Hyperion.” Journal of Applied Remote Sensing 7. doi:10.1117/1.jrs.7.073528.
  • Lu, X. 2008. “Dynamic Monitoring of Urban Expansion Based on RS and GIS Technology-a Case Study of Zhengzhou City.” Journal of Henan Polytechnic University (Natural Science) 27: 182–187.
  • Sun, C., Z. Wu, Z. Lv, N. Yao, and J. Wei. 2013. “Quantifying Different Types of Urban Growth and the Change Dynamic in Guangzhou Using Multi-Temporal Remote Sensing Data.” International Journal of Applied Earth Observation and Geoinformation 21: 409–417. doi:10.1016/j.jag.2011.12.012.
  • Sun, Z., X. Li, W. Fu, Y. Li, and D. Tang. 2013. “Long-Term Effects of Land Use/Land Cover Change on Surface Runoff in Urban Areas of Beijing, China.” Journal of Applied Remote Sensing 8. doi:10.1117/1.jrs.8.084596.
  • Varshney, A. 2013. “Improved NDBI Differencing Algorithm for Built-Up Regions Change Detection from Remote-Sensing Data: An Automated Approach.” Remote Sensing Letters 4: 504–512. doi:10.1080/2150704x.2013.763297.
  • Xu, H. 2008. “A New Index for Delineating Built-Up Land Features in Satellite Imagery.” International Journal of Remote Sensing 29: 4269–4276. doi:10.1080/01431160802039957.
  • Yang, C., and C. Zhou. 2000. “Extracting Residential Areas on the TM Imagery.” Journal of Remote Sensing 4: 146–150. url: <Go to ISI>://CSCD:812864
  • 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: 583–594. doi:10.1080/01431160304987.
  • Zha, Y., S. Ni, and S. Yang. 2003. “An Effective Approach to Automatically Extract Urban Land-use from TM Imagery.” Journal of Remote Sensing 7: 37–40+82. url: <Go to ISI>://CSCD:1298713
  • Zhao, H. M., and X. L. Chen 2005. “Use of Normalized Difference Bareness Index in Quickly Mapping Bare Areas from TM/ETM.” IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Seoul, South Korea. url: <Goto ISI>://WOS:000237237602044

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:

Order Reprints Request Corporate Permissions

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:

Request Academic Permissions

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.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.