REMOTE SENSING DATA IN MUNICIPAL GOVERNMENT

Authors

  • Jaroslav Nýdrle CTU in Prague, Faculty of Civil Engineering, Department of Geomatics, Prague, Thákurova 7, Czech Republic, jaroslav.nydrle@fsv.cvut.cz https://orcid.org/0000-0002-2691-667X

DOI:

https://doi.org/10.14311/CEJ.2021.04.0073

Keywords:

Satellite, Landsat 8, Planet Scope, Sentinel 2, Remote sensing, LST, NDVI, NDWI, NDBI

Abstract

This article focuses on the issue of using data obtained through remote sensing methods  in the administrative district of the municipality with extended powers of Liberec (the Czech Republic). The first part of the article discusses the question of using Earth remote sensing data for city agendas in general. Then, it presents a questionnaire, created for evaluating the needs of the Liberec municipality. This questionnaire, focusing on the use of remotely sensed data, was created on the basis of a review of relevant literature. Based on the results of the questionnaire, the following spatial information requirements were chosen to be addressed: land surface temperature map - LST (Landsat 8), vegetation index - NDVI (Sentinel 2, Planet Scope), normalized difference water index - NDWI, NDWI 2 (Sentinel 2), normalized difference built-up index - NDBI (Sentinel 2). All data obtained during the creation of this study have become part of the database of the Urban Planning and GIS Department and are available to employees of the City of Liberec.

References

[ 1 ] AHMADI, S., Azarnivand, H., Khosravi, H., Dehghan, P., Behrang Manesh, M., 2019. Assessment the effect of drought and land use change on vegetation using Landsat data. Desert (2008-0875) 24, 23–31.

[ 2 ] JEREMY P. Mondejar, Alejandro F. Tongco, 2019. Near infrared band of Landsat 8 as water index: a case study around Cordova and Lapu-Lapu City, Cebu, Philippines. Sustainable Environment Research 1. https://doi.org/10.1186/s42834-019-0016-5

[ 3 ] MARCOF P., Statescu F., 2017. Comparasion of NDBI and NDVI as Indicators of Surface Urban Heat Island Effect in Landsat 8 Imagery: A Case Study of Iasi. Present Environment and Sustainable Development 141. https://doi.org/10.1515/pesd-2017-0032

[ 4 ] KAPLAN, G., Avdan, U., Avdan, Z.Y., 2018. Urban Heat Island Analysis Using the Landsat 8 Satellite Data: A Case Study in Skopje, Macedonia. Proceedings 2, 358. https://doi.org/10.3390/ecrs-2-05171

[ 7 ] WONG, M.M.F., Fung, J.C.H., Yeung, P.P.S., 2019. High-resolution calculation of the urban vegetation fraction in the Pearl River Delta from the Sentinel-2 NDVI for urban climate model parameterization. Geosci. Lett. 6, 2. https://doi.org/10.1186/s40562-019-0132-4

[ 6 ] RADOUX, J., Chomé, G., Jacques, D.C., Waldner, F., Bellemans, N., Matton, N., Lamarche, C., d’Andrimont, R., Defourny, P., 2016. Sentinel-2’s Potential for Sub-Pixel Landscape Feature Detection. Remote Sensing 8, 488.

[ 7 ] MACLACHLAN, A., Biggs, E., Roberts, G., Boruff, B., 2017. Urban Growth Dynamics in Perth, Western Australia: Using Applied Remote Sensing for Sustainable Future Planning. Land 6, 9. https://doi.org/10.3390/land6010009

[ 8 ] SURAN, N.A., Shafri, H.Z.M., Shaharum, N.S.N., Radzali, N.A.W.M., Kumar, V., 2019. UAV-BASED HYPERSPECTRAL DATA ANALYSIS FOR URBAN AREA MAPPING. Int. Arch.

Photogramm. Remote Sens. Spatial Inf. Sci. XLII-4/W16, 621–626. https://doi.org/10.5194/isprs- archives-XLII-4-W16-621-2019

[ 9 ] 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

[ 10 ] HAFIZI, H., KALKAN, K. Evaluation of Object-Based Water Body Extraction Approaches Using Landsat-8 Imagery. Journal of Aeronautics [online]. 2020, 13(1), 81-89 [cit. 2020-07-01]. ISSN 13040448. Available from: http://search.ebscohost.com/login.aspx?direct=true&db=a9h&an=141501455&scope=site

[ 11 ] ZHA, Y., J. Gao a S. Ni. "Using the normalized index of difference created in the automatic mapping of urban areas from TM images." International Journal of Remote Sensing 24, no. 3 (2003): 583-594.

[ 12 ] ROUSE, J.W, Haas, R.H., Scheel, J.A., and Deering, D.W. (1974) 'Monitoring Vegetation Systems in the Great Plains with ERTS.' Proceedings, 3rd Earth Resource Technology Satellite (ERTS) Symposium, vol. 1, p. 48-62.

Downloads

Published

2021-12-31

How to Cite

Nýdrle, J. (2021). REMOTE SENSING DATA IN MUNICIPAL GOVERNMENT. Stavební Obzor - Civil Engineering Journal, 30(4). https://doi.org/10.14311/CEJ.2021.04.0073

Issue

Section

Articles