Abstract
The urban built-up area is a key monitoring and statistics data of national and provincial statistical departments, and has become an important scale to reflect the level of urban development and predict the potential of urban development. Based on the Landsat 8 images, by using the way of spectral signature analysis, the study selected four indices, Modified Normalized Difference Built-up Index (MNDBI), Normalized Difference Vegetation Index (NDVI), Modified Normalized Difference Water Index (MNDWI) and a set of mineral index (Clay, Iron, Ferrous), and combined with the band operation and K-means unsupervised classification algorithm to extract the range of urban built-up area. Taking Shenyang as an example, the method proposed in this paper was used to extract the built-up area of Shenyang and the Kappa coefficient of the extracted built-up area range was 0.9091 after the post-classification treatment and refinement treatment of the built-up area.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, G.D., Fang, C.L., Wang, S.J., Zhang, Q.: Progress in remote sensing recognition and spatio-temporal changes study of urban and rural land use. J. Nat. Resour. 31(04), 703–718 (2016)
Xu, Z.N., Gao, X.: A novel method for identifying the boundary of urban built-up areas with POI data. Acta Geogr. Sin. 71(06), 928–939 (2016)
Xu, H.Q., Du, L.P., Sun, X.D.: Index-based definition and auto-extraction of the urban built-up region from remote sensing imagery. J. Fuzhou Univ. (Nat. Sci. Ed.) 39(05), 707–712 (2011)
Song, J.C., et al.: A method of extracting urban built-up area based on DMSP/OLS Nighttime data and Google Earth. J. Geo-Inf. Sci. 17(06), 750–756 (2015)
Li, Z., Yang, X.M., Meng, F., Chen, X., Yang, F.S.: The method of multi-source remote sensing synergy extraction in urban built-up area. J. Geo-Inf. Sci. 19(11), 1522–1529 (2017)
Zhong, S.Y., Li, X.X., Bai, Y.H., Feng, J.: The method of extracting built-up areas based on multi-scale segmentation and spectral features. Softw. Guide 17(09), 180–184 (2018)
Tong, B., Shen, W.: Object-oriented Landsat 8 image of the city proper extraction method research. J. Liaoning Prov. Coll. Commun. 19(02), 21–25 (2017)
Zha, Y., Gao, J.Q.: Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 24(3), 583–594 (2003)
Hu, Y.Y.: Investigation of a modified normalized built-up index and a post processing scheme for BUILT-UP extraction in urban area. Geomat. Sci. Technol. 5(3), 83–92 (2017)
Xu, H.Q.: A study on information extraction of water body with the modified normalized difference water index (MNDWI). J. Remote Sens. 9(5), 589–595 (2005)
Rouse, J.W., Haas, R.H., Schell, J.A., Deering, D.W.: Monitoring vegetation systems in the great plains with ERTS. NASA Spec. Publ. 351, 309 (1973)
Douglas, W., Stuart, R.P., Alan, T.M.: Monitoring growth in rapidly urbanizing areas using remotely sensed data. Prof. Geogr. 52(3), 371–386 (2000)
Xu, H.Q., Tang, F.: Analysis of new characteristics of the first Landsat 8 image and their eco-environmental significance. Acta Ecol. Sin. 33(11), 3249–3257 (2013)
Mac, Q.J.: Some methods for classification and analysis of multivariable observation. Comput. Chem. 4, 257–272 (1967)
Duan, M.X.: Research and Application of Hierarchical Clustering Algorithm. Master, Central South University (2009)
Liaoning Statistical Department: Liaoning Investigation Team of National Statistical Bureau: Liaoning Statistical Yearbook 2018. China Statistical Press, Shenyang (2018)
Acknowledgments
This study was supported by Natural Science Foundation of Liaoning Province of China: Study on Remote Sensing Monitoring Method for Maize Planting Area in Liaoning Province (No. 20180550479).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ma, Y., Xie, Z., You, Y., Xuan, X. (2020). Research on Rapid Extraction Method of Urban Built-up Area with Multiple Remote Sensing Indexes. In: Xie, Y., Li, Y., Yang, J., Xu, J., Deng, Y. (eds) Geoinformatics in Sustainable Ecosystem and Society. GSES GeoAI 2019 2019. Communications in Computer and Information Science, vol 1228. Springer, Singapore. https://doi.org/10.1007/978-981-15-6106-1_15
Download citation
DOI: https://doi.org/10.1007/978-981-15-6106-1_15
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6105-4
Online ISBN: 978-981-15-6106-1
eBook Packages: Computer ScienceComputer Science (R0)