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Synergetic Use of Sentinel-1 and Sentinel-2 Data for Analysis of Urban Development and Green Spaces
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 17th International Conference on Geoinformatics - Theoretical and Applied Aspects, May 2018, Volume 2018, p.1 - 6
Abstract
In the presented study a methodological framework to integrate Sentinel-1 and Sentinel-2 imagery for accurate mapping of urban development and amount of vegetation in urban green spaces by integrating the advantages of radar and optical imagery was proposed. It was tested on Kiev city area using Sentinel-2A level 2 multispectral image and two Sentinel 1A images (Level-1 SLC), forming an interferometric pair. For urban extant and development extraction from combined use of Sentintinel-1 and Sentinel-2A images existing verified methods were used. For urban vegetation quantity estimation using multispectral satellite imagery, a method based on LAI(NDVI) dependence was applied. As a result, five challenging classes of urban development were extracted. Obtained LAI map characterizes urban green spaces. Its values correspond to the amount of total green vegetation of all canopy layers including the understory This research demonstrates that synergetic use of Sentinel-1 SAR and Sentinel- 2 MSI data both for buildup areas extraction and for urban vegetation quantitative estimations is very promising for analysis of urban development and green spaces. The algorithm presented here will provide objective, reliable and operative information to urban planners and decision-makers.