Monitoring von forstlichen Großschadereignissen im Rahmen des. GMES Downstream Projekts
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1 Monitoring von forstlichen Großschadereignissen im Rahmen des GMES Downstream Projekts 6. RESA Workshop, Bonn, 5-6 März 2014 Matthias Dees Institut für Forstwissenschaften Albert-Ludwigs-Universität Freiburg 1
2 Content EUFODOS RESA Cases within EUFODOS Bark beetle mapping RapidEye for storm damage mapping - test case Poland 2
3 Objectives of EUFODOS To develop sustainable for the effective assessment of forest damage and forest functional parameters at regional scale to an operational level utilising Copernicus Data Land/Forest Core Products (Down Stream Services) Duration:
4 Consortium JOANNEUM Research (JR), Austria, Project Co-ordinator GAF AG, Germany Technical Research Centre of Finland (VTT), Finland Albert-Ludwigs-University Freiburg (ALU-FR), Germany BlackBridge, formerly RapidEye (RE), Germany European Academy of Research (EURAC), Italy Remote Sensing Application Centre (ReSAC), Bulgaria Environment Agency Austria (EAA), Austria Umweltbundesamt GmbH 4
5 EUFODOS Users Austria - Styrian Forestry Board Germany Thüringen Forst Poland - Local Forest Authority, Regional Directorate of State Forests Wrocław Italy - Department of Forest Planning Autonomous Province of Bolzano Bulgaria Executive Forestry Agency - Council of Ministers Finland -Stora Enso Austria Environment Agency Austria EAA 5
6 Testcases 7 Countries 7 Users 6
7 Services and Products Storm Forest Fire Snow Load Insect Infestation Ecological Indicators Economical Parameters Foto: Toland Volgger/STOL 7
8 List of ALU-FR s RESA Studies RapidEye for snow damage mapping & assessment of forest operations in Thuringia RapidEye for bark beetle damage mapping - test case Baden-Württemberg RapidEye for storm damage mapping - test case Poland -> Transfer of R&D findings to service provider GAF AG, application in test case Thuringia 8
9 Bark beetle damage mapping Risk estimation based on traps and weather data 9
10 Bark beetle damage mapping Situation during project life time 10
11 Bark beetle damage mapping Shift of activities to Bannwald Wilder See Black forest, Germany 11
12 Bark beetle damage mapping behind the lake single dead trees dead wood already subject to decay 12
13 Bark beetle damage mapping Assessing mapping capabilities using 2009 data 13
14 Bark beetle damage mapping New damages 2009 to 2012: only one 0.01 ha area 14
15 RapidEye for storm damage mapping - test case Poland 11 th of September 2011 in North-West-Poland Damages on a stripe of 10 km by 50 km 15
16 Background Amount of damaged wood m³ initial estimate next estimate March 2012 Final official figure 16
17 Objectives Assess achievable mapping accuracies for a medium scale storm damage event In terms of damaged area Standard verification approach Assess achievable mapping accuracies for a medium scale storm damage event In terms of the amount of damaged wood Test of an option to assess scattered damages Comparison with operational findings 17
18 RapidEye for storm damage mapping - test case Poland Pre- and Post-storm coverage with RapidEye 18
19 RapidEye for storm damage mapping - test case Poland Damages in Barlinek & Klodowa Image composite: R: NIR-after G: Red edge-after B: Red edge-before, Damaged areas occur in yellow colour 19
20 RapidEye for storm damage mapping - test case Poland Damaged areas map Map of stands with scattered damages and of damaged areas 20
21 RapidEye for storm damage mapping - test case Poland 21
22 RapidEye for storm damage mapping - test case Poland 22
23 RapidEye for storm damage mapping - test case Poland 23
24 RapidEye for storm damage mapping - test case Poland 24
25 RapidEye for storm damage mapping - test case Poland Verification of result Damaged area map Damage area, mapped [number of verification points] No damage area, mapped [number of verification points] Damage area, verification [number of verification points] No damage area, verification [number of verification points] Total [number of verification points] Total [number of verification points] OAC 99,9% Damage area - User Accuracy 98,1% Damage area -Producer accuracy 95,2% Definition: Proportion of correctly mapped area of entire area Definition: Proportion of correctly mapped scattered damage areas by all mapped scattered damage areas Definition: Proportion of correctly mapped scattered damage areas by all scattered damage areas due to verification 25
26 RapidEye for storm damage mapping - test case Poland Damaged wood in the forest district of Bogdaniec Amount of damaged wood in damaged areas (minimum mapping unit 0.2 ha) Number of damaged areas Area in ha Damaged wood - total [m³] Damaged wood - pine [m³] Damaged wood - beech [m³] Amount of damaged wood in stands with scattered damages assuming 15% are damaged Number of damaged stands Area in ha Damaged wood - total [m³] Damaged wood - pine [m³] Damaged wood - beech [m³]
27 RapidEye for storm damage mapping - test case Poland Initial estimate Next estimate March 2012 Final official figure Estimate based on mapping with 0.2 ha MMU Total EO based estimate 27
28 Acknowledgements The authors would like to thank the forest administration of Poland for their support to this study, namely, Witold Koss, head of the Regional Forest Directorate Szczecinie, Andrezej Bielewski, Forest District Office Kliniska, Piotr Pietkun, Forest District Office Bogdaniec, Tomasz Kalembkiewicz, Forest District Office Klodawa Mieczyslaw Zachas & Grzegorz Majchrzak & Puemystacz Raczwat, Regional Forest Directorate Szczecinie Aldona Bernacka and Jan Demczyszyn, Forest District Office Bogdaniec 28
29 Outlook: future R&D needs for the tailor-made EUFODOS DS services Further explore RapidEye Regional scale dense time series Explore Sentinel 2 / Landsat 8 Large scale dense time series TerraSAR-X based change detection Promote of bistatic single pass interferometrie Explore of monostatic interferomerie TerraSAR-X, Sentinel 1, cosmo skymed, 29
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