COSMO-SkyMed data for detection of forest boundaries on steep terrain
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1 Photo Credit: Peter Morley COSMO-SkyMed data for detection of forest boundaries on steep terrain Peter Morley 1, Sophie Davison 3, Alistair Jump 1, Daniel Donoghue 2
2 Why mountain forests? 23% earths forested surface Large areas of primary forest Ecosystem services High biodiversity value Carbon storage Water regulation Soil protection Slope stabilisation Commercial benefit Forestry Tourism Photo Credit: Peter Morley
3 Why mountain forests? 23% earths forested surface Large areas of primary forest Ecosystem services High biodiversity value Carbon storage Water regulation Soil protection Slope stabilisation Commercial benefit Forestry Tourism Photo Credit: Peter Morley Dynamic areas- Susceptible to change
4 Aim Identify the value / limitations of COSMO-SkyMed data for forest / non-forest characterisation in steep terrain
![Kielder water and forest park GetMapping [2018]](/docs-images/96/129233496/images/5-0.jpg "Davison, S., Donoghue D.N.M.")
5 Kielder water and forest park GetMapping [2018] Davison, S., Donoghue D.N.M. (2018) Assessing the losses in accuracy and precision during vegetation hazard assessment of power lines in the field: A comparison against LiDAR identified vegetation hazards along a UK distribution line. Manuscript in preparation
![COSMO-SkyMed Spotlight - ASI [2017] Spotlight](/docs-images/96/129233496/images/6-6.jpg "May 2017 COSMO-SkyMed StripMap - ASI [2017]")
6 COSMO-SkyMed Spotlight & StripMap data - ASI [2017] processed under license from ASI Agenzia Spaziale Italiana. All rights reserved. Distributed by e-geos Kielder: Datasets X Band COSMO- SkyMed LiDAR COSMO-SkyMed StripMap - ASI [2017] COSMO-SkyMed Spotlight - ASI [2017] Spotlight January pulses/m2 May 2016 around power line AOI StripMap January 2017 COSMO-SkyMed Spotlight - ASI [2017] Spotlight May 2017 COSMO-SkyMed StripMap - ASI [2017] StripMap May 2017
7 SpotLight StripMap Kielder: Initial Observations No high reflectance off power line as seen in some SAR imagery Minimal impact from terrain COSMO-SkyMed StripMap - ASI [2017] processed under license from ASI Agenzia Spaziale Italiana. All rights reserved. Distributed by e-geos Summer Winter COSMO-SkyMed Spotlight - ASI [2017] processed under license from ASI Agenzia Spaziale Italiana. All rights reserved. Distributed by e-geos
![COSMO-SkyMed Spotlight - ASI [2017] processed under license from](/docs-images/96/129233496/images/8-0.jpg "ASI Agenzia Spaziale Italiana. All rights reserved.")
![COSMO-SkyMed COSMO-SkyMed StripMap - ASI [2017] processed under](/docs-images/96/129233496/images/8-3.jpg "license from Distributed by e-geos GetMapping [2018] GetMapping")
8 COSMO-SkyMed Spotlight - ASI [2017] processed under license from ASI Agenzia Spaziale Italiana. All rights reserved. Distributed by e-geos Kielder: Initial Observations No high reflectance off power line as seen in some SAR imagery Minimal impact from terrain Texture and brightness differs over forested/non forested areas 2018 Get Mapping imagery May 2017 COSMO-SkyMed COSMO-SkyMed StripMap - ASI [2017] processed under license from ASI Agenzia Spaziale Italiana. All rights reserved. Distributed by e-geos GetMapping [2018] GetMapping [2018]
9 Kielder: Change Capture Calibration Coregistration Speckle Reduction (multitemporal) Terrain Correction Raster Maths
10 Kielder: Change Capture GetMapping [2018]
11 Kielder: Initial Observations GetMapping [2018]
12 Kielder: Change Capture GetMapping [2018]
13 Taiwan: Background Photo Credit: Peter Morley Photo Credit: Peter Morley Photo Credit: Peter Morley
14 Taiwan: Dataset COSMO-SkyMed StripMap data Green-Red Vegetation Index SPOT 7 Sentinel-2 39 forest & 39 grassland plots Methods in Ecology and Evolution 12 DEC 2017 DOI: / X
![[2017] processed under license from ASI Agenzia](/docs-images/96/129233496/images/15-1.jpg "Spaziale Italiana. All rights reserved.")
15 Taiwan: Initial Observations Sentinel 2 - European Space Agency [2017] COSMO-SkyMed StripMap - ASI [2017] processed under license from ASI Agenzia Spaziale Italiana. All rights reserved. Distributed by e-geos
16 Taiwan: Forest Non-Forest Transitions COSMO-SkyMed R 2 MF = 0.204
17 Taiwan: Forest Non-Forest Transitions Multispectral SPOT R 2 MF = Sentinel 2 R 2 MF = 0.636
18 Taiwan: Forest Non-Forest Transitions Partial effect of backscatter SPOT R 2 MF = Sentinel 2 R 2 MF = 0.835
19 Work in progress Scale dependent benefits: Large scale monitoring Improvement of training models & identification of management zones Detailed management Tree fall events likely only captured in high resolution SAR datasets Validate changes identified in the COSMO-SkyMed imagery against LiDAR and field observations to assess the accuracy Benefit from further repeat SAR images to separate tree fall from surrounding noise & identify suitable workarounds for dealing with terrain effects Photo Credit: Peter Morley
20 Photo Credit: Peter Morley
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