Monitoring von forstlichen Großschadereignissen im Rahmen …Matthias Dees, Albert-Ludwigs-Universität Freiburg 6. RESA Workshop, Bonn, 5-6 März 2014 RapidEye for snow damage mapping

European Forest Downstream ServicesImproved Information on Forest Structure and Damages

11Matthias Dees, Albert-Ludwigs-Universität Freiburg 6. RESA Workshop, Bonn, 5-6 März 2014


Monitoring von forstlichen Großschadereignissen im Rahmen des

GMES Downstream Projekts

6. RESA Workshop, Bonn, 5-6 März 2014Matthias Dees

Institut für ForstwissenschaftenAlbert-Ludwigs-Universität Freiburg

[email protected]



Content

EUFODOS http://www.eufodos.info/

RESA – Cases within EUFODOS

Bark beetle mapping

RapidEye for storm damage mapping - test case Poland



Objectives of EUFODOS

To develop sustainable for the effectiveassessment of forest damage and forestfunctional parameters at regional scaleto an operational level

utilising

Copernicus Data

Land/Forest Core Products (Down Stream Services)

Duration: 1.1.2011 – 31.12.2013



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), AustriaUmweltbundesamt GmbH



EUFODOS Users

Austria - Styrian Forestry BoardGermany – Thüringen ForstPoland - Local Forest Authority, Regional Directorate of State Forests WrocławItaly - Department of Forest Planning –Autonomous Province of BolzanoBulgaria – Executive Forestry Agency -Council of MinistersFinland - Stora EnsoAustria – Environment Agency Austria EAA



Testcases

7 Countries7 Users



Services and Products

StormForest FireSnow LoadInsect InfestationEcological IndicatorsEconomical Parameters

Foto: Toland Volgger/STOL



RapidEye for snow damage mapping & assessment of forest operations in ThuringiaRapidEye for bark beetle damage mapping -test case Baden-WürttembergRapidEye for storm damage mapping - test case Poland

-> Transfer of R&D findings to service provider GAF AG, application in test case Thuringia

List of ALU-FR’s RESA Studies



Risk estimation based on traps and weather data

Bark beetle damage mapping



Situation during project life time




Shift of activities to „Bannwald Wilder See“Black forest, Germany




behind the lake single dead trees

dead wood already subject to decay




Assessing mapping capabilities using 2009 data




New damages 2009 to 2012:– only one 0.01 ha area






11th of September 2011 in North-West-Poland

Damages on a stripe of 10 km by 50 km



Background

Amount of damaged wood

0

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initialestimate

nextestimate

March2012

Finalofficialfigure

m³



Objectives

Assess achievable mapping accuracies for a medium scale storm damage event

In terms of damaged areaStandard verification approach

Assess achievable mapping accuracies for a medium scale storm damage event

In terms of the amount of damaged woodTest of an option to assess scattered damages

Comparison with operational findings





Pre- and Post-storm coverage with RapidEye





Damages in Barlinek & Klodowa

Image composite: R: NIR-after G: Red edge-after B: Red edge-before, Damaged areas occur in yellow colour





Damaged areas map Map of stands with scattered damages and of damaged areas





















Damage area, verification [number of verification points]

No damage area, verification [number of verification points] Total [number

of verification points]

Damage area, mapped [number of verification points] 360 7

367No damage area, mapped [number of verification points] 18 31043

31061

Total [number of verification points] 378 31050 31428

OAC 99,9%Definition: Proportion of correctly mapped areaof entire area

Damage area -User Accuracy 98,1%

Definition: Proportion of correctly mappedscattered damage areas by all mapped scattereddamage areas

Damage area -Producer accuracy 95,2%

Definition: Proportion of correctly mappedscattered damage areas by all scattered damageareas due to verification

Verification of result “Damaged area map”





Damaged wood in the forest district of Bogdaniec

Number of damaged

areas Area in haDamaged

wood -total [m³]

Damaged wood -

pine [m³]Damaged

wood -beech [m³]

134 115.0 25 708 17 819 4 110

Amount of damaged wood in damaged areas (minimum mapping unit 0.2 ha)

Amount of damaged wood in stands with scattered damages assuming 15% are damaged

Number of damaged

stands Area in haDamaged

wood -total [m³]

Damaged wood -

pine [m³]Damaged

wood -beech [m³]

311 1015.4 38259 31 496 2 113





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March 2012 Finalofficialfigure

Estimatebased onmapping

with 0.2 haMMU

Total EObased

estimate



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 KlodawaMieczyslaw Zachas & Grzegorz Majchrzak & Puemystacz Raczwat, Regional Forest Directorate SzczecinieAldona Bernacka and Jan Demczyszyn, Forest District Office Bogdaniec



Outlook: future R&D needs for the tailor-made EUFODOS DS services

Further explore RapidEyeRegional scale dense time series

Explore Sentinel 2 / Landsat 8 Large scale dense time series

TerraSAR-X based change detection Promote of bistatic single pass interferometrieExplore of monostatic interferomerieTerraSAR-X, Sentinel 1, cosmo skymed, …

Documents

Monitoring von forstlichen Großschadereignissen im Rahmen …Matthias Dees, Albert-Ludwigs-Universität Freiburg 6. RESA Workshop, Bonn, 5-6 März 2014 RapidEye for snow damage mapping