A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France

MLA

Cerbelaud, Arnaud, et al. A Repeatable Change Detection Approach to Map Extreme Storm-Related Damages Caused by Intense Surface Runoff Based on Optical and SAR Remote Sensing: Evidence from Three Case Studies in the South of France. Dec. 2021. EBSCOhost, https://doi.org/10.1016/j.isprsjprs.2021.10.013⟩.

APA

Cerbelaud, A., Roupioz, L., Blanchet, G., Breil, P., & Briottet, X. (2021). A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France. https://doi.org/10.1016/j.isprsjprs.2021.10.013⟩

Chicago

Cerbelaud, Arnaud, Laure Roupioz, Gwendoline Blanchet, Pascal Breil, and Xavier Briottet. 2021. “A Repeatable Change Detection Approach to Map Extreme Storm-Related Damages Caused by Intense Surface Runoff Based on Optical and SAR Remote Sensing: Evidence from Three Case Studies in the South of France,” December. doi:10.1016/j.isprsjprs.2021.10.013⟩.