ISPRS-Archives ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Archives Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9034 Copernicus Publications Göttingen, Germany 10.5194/isprs-archives-XLII-1-W1-135-2017 REMOTE SENSING TECHNIQUES TO ASSESS POST-FIRE EFFECTS AT THE HILLSLOPE AND SUB-BASIN SCALES VIA MULTI-SCALE MODEL Brook A. 1 https://orcid.org/0000-0002-3205-6581 Polinova M. 1 https://orcid.org/0000-0002-5108-3796 Kopel D. 1 Malkinson D. 2 Wittenberg L. 2 Roberts D. 3 Shtober-Zisu N. 4 https://orcid.org/0000-0002-5711-2586 Spectroscopy & Remote Sensing Laboratory, Center for Spatial Analysis Research (UHCSISR), Department of Geography and Environmental Studies, University of Haifa, Mount Carmel, 3498838, Israel Geomorphology Laboratory, Department of Geography and Environmental Studies, University of Haifa, Israel Geography Department, University of California Santa Barbara, Santa Barbara, CA, USA Department of Israel Studies, University of Haifa, Israel 31 05 2017 XLII-1/W1 135 141 This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ This article is available from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-1-W1-135-2017.html The full text article is available as a PDF file from https://isprs-archives.copernicus.org/articles/isprs-archives-XLII-1-W1-135-2017.pdf

Post-fire environmental footprint is expected at varying scales in space and in time and demands development of multi-scale monitoring approaches. In this paper, a spatially and temporally explicit multi-scale model that reveals the physical and morphological indicators affecting hillslope susceptibility at varying scales, is explained and demonstrated. The qualitative and quantitative suitability classification procedures are adapted to translate the large-scale space-borne data supplied by satellite systems (Landsat OLS8 and Sentinel 2 and 3) to local scale produced by a regional airborne survey performed by unmanned aerial vehicle (UAV). At the smallest spatial and temporal resolution, a daily airborne imagery collection by UAV is linked to micro-topography model, using statistical and mathematical approaches.