REMOTE SENSING TECHNIQUES TO ASSESS POST-FIRE EFFECTS AT THE HILLSLOPE AND SUB-BASIN SCALES VIA MULTI-SCALE MODEL
| Autor: | Nurit Shtober-Zisu, Anna Brook, Daniella Kopel, Maria Polinova, Dar A. Roberts, Lea Wittenberg, Dan Malkinson |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Ecological footprint 010504 meteorology & atmospheric sciences lcsh:T Local scale lcsh:TA1501-1820 04 agricultural and veterinary sciences Structural basin 01 natural sciences lcsh:Technology Geography Remote sensing (archaeology) lcsh:TA1-2040 Temporal resolution 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Satellite lcsh:Engineering (General). Civil engineering (General) Scale model Cartography 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 135-141 (2017) |
| ISSN: | 2194-9034 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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