Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran-Reference-Cited by-同舟云学术

Rapid and automatic burned area detection using sentinel-2 time-series images in google earth engine cloud platform: a case study over the Andika and Behbahan Regions, Iran

Published:2022-04-16 Issue:5 Volume:194 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Farhadi Hadi^ORCID,Mokhtarzade Mehdi,Ebadi Hamid,Beirami Behnam Asghari

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10661-022-10045-4.pdf

Reference50 articles.

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3. Barbosa, P. M., Pereira, J. M. C., & Grégoire, J. -M. (1998). Compositing criteria for burned area assessment using multitemporal low resolution satellite data. Remote Sensing of Environment, 65(1), 38–49. https://doi.org/10.1016/S0034-4257(98)00016-9

4. Boschetti, M., Stroppiana, D., & Brivio, P. A. (2010). Mapping burned areas in a Mediterranean environment using soft integration of spectral indices from high-resolution satellite images. Earth Interactions, 14(17), 1–20. https://doi.org/10.1175/2010EI349.1

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