Exploring the Potentialities of Landsat 8 and Sentinel-2 Satellite Data for Estimating the Land Surface Albedo in Urban Areas Using GEE Platform

Author:

Barletta CarloORCID,Capolupo AlessandraORCID,Tarantino EufemiaORCID

Publisher

Springer International Publishing

Reference42 articles.

1. Liu, Q., Wen, J., Qu, Y., He, T., Zhang, X., Wang, L.: Broadband albedo. In: Liang, S., Li, X., Wang, J. (eds.) Advanced Remote Sensing: Terrestrial Information Extraction and Applications, 1st edn, pp. 173–231. Academic Press, Cambridge (2012)

2. Capolupo, A., Monterisi, C., Barletta, C., Tarantino, E.: Google earth engine for land surface albedo estimation: comparison among different algorithms. In: Proceedings of SPIE 11856, Remote Sensing for Agriculture, Ecosystems, and Hydrology XXIII, p. 118560F. International Society for Optics and Photonics (2021)

3. Essential Climate Variables. https://gcos.wmo.int/en/essential-climate-variables. Accessed 28 Nov 2021

4. Voogt, J.A., Oke, T.R.: Thermal remote sensing of urban climates. Remote Sens. Environ. 86(3), 370–384 (2003)

5. The Urban Heat Island (UHI) Effect. https://www.urbanheatislands.com/. Accessed 13 Dec 2021

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