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.
|Number of pages||7|
|Journal||International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives|
|State||Published - 30 May 2017|
|Event||ISPRS Hannover Workshop 2017 on High-Resolution Earth Imaging for Geospatial Information, HRIGI 2017, City Models, Roads and Traffic , CMRT 2017, Image Sequence Analysis, ISA 2017, European Calibration and Orientation Workshop, EuroCOW 2017 - Hannover, Germany|
Duration: 6 Jun 2017 → 9 Jun 2017
Bibliographical noteFunding Information:
This research was supported by Grant No 2014299 from the United States-Israel Binational Science Foundation (BSF).
- Hillslope micro-topography
- Log-Gaussian cox processes
- Multiscale model
- Post-fire environment
ASJC Scopus subject areas
- Information Systems
- Geography, Planning and Development