ASSESSMENT AND MONITORING OF FOREST RESOURCES IN THE FRAMEWORK OF THE EU-RUSSIAN SPACE DIALOGUE THE ZAPÁS PROJECT

Transcription

1 Friedrich-Schiller-University Jena Institute for Geography Earth Observation ASSESSMENT AND MONITORING OF FOREST RESOURCES IN THE FRAMEWORK OF THE EU-RUSSIAN SPACE DIALOGUE THE ZAPÁS PROJECT C.C. SCHMULLIUS 1, C. THIEL 1, S. BARTALEV 2, K. EMELYANOV 3, M. KORETS 4, A. SHVIDENKO 5, V. SKUDIN 6, L. VASHCHOUK 7

2 TEAM COMPOSITION 1 Dept. for Earth Observation, University Jena, Germany 2 IKI-RAS Space Research Institute, Moscow, Russia 3 Earth Operative Monitoring Center, Moscow, Russia 4 SIF-RAS Sukachev Institute of Forest, Krasnoyarsk, Russia 5 IIASA, Laxenburg, Austria Associated partner: 6 State Forest Inventory Roslesinforg Krasnoyarsk, Russia 7 State Forest Inventory Roslesinforg Irkutsk, Russia 2

3 Previous Team Experience ZAPÁS 1. SIBERIA-I ( ): EU FP-4 Project, Coordinator DLR 2. SIBERIA-II ( ): EU FP-5 Project, Coordinator Uni Jena 3. GSE Forest Monitoring in Russia ( ): ESA Project, Project partner 4. Land Cover Project Office of GOFC-GOLD (Global Observation of Forest Cover and Land dynamics) ( ): ESA Project, Coordinator Uni Jena 5. SIB-ESS-C ( ): University Funding, Coordinator 6. FRA-SAR-2010 ( ): DLR/BMWi Project, Coordinator Uni Jena Further cooperation projects with Russia are the EC INCO projects 7. GMES-RUSSIA and 8. IRIS, and the EC INTAS projects 7. Baikal Environmental Monitoring and 8. SibFORD (all with Uni Jena as coordinator). 3

4 Programmatic Context FP7 Cooperation Work Programme Space Activity: 9.3 Cross-cutting activities Area 9.3.2: International Cooperation SPA EU-Russia Cooperation in GMES Continuation of EC- and GMES-cooperation activities with Russia since FP `98 Joint and synergistic exploration of EO data provided by ESA and ROSCOSMOS Exchange of methodological know-how in processing Earth Observation data 4

5 11 March 2009 TECHNICAL ANNEX of ROSCOSMOS-ESA Data Exchange Agreement 1. Selected R&D Projects 1.1- Agriculture 1.2- Forestry 1.3- Earthquake precursors 1.4- Arctic polar research 2- EO data access 2.1- ESA data (plus 3 rd Party Mission Data, ie. SPOT, ALOS,..) Envisat ASAR (total: 3000 products) Envisat MERIS (total: 1000 products) 2.2- ROSCOSMOS data METEOR-M 1 KM SS data - total: 1000 product scenes, RESURS-DK1 data product scenes including 100 archived products, RESURS-DK1 data 300 tasking.

6 ZAPÁS ZAPÀS Study Region 6

7 ZAPÁS Overall Project Concept

8 ZAPÁS Overall Project Concept

9 ZAPÁS 9

10 10

11 Regression Analysis for ALOS PALSAR Data Chunsky North Stem volume vs. Coherence (05feb mar2008) 12.5 m data Stem volume vs. backscatter (HV) (05aug2007) 12.5 m data Very significant correlation between SAR data and stem volume!

12 12

13 Biomass Map based on the Jena IWC-Model (Interferometric Water Cloud Model). Data Source: ALOS PALSAR, L-HH coherence from December 2008 until February Courtesy: Oliver Cartus, Carolin Thiel, Christian Thiel, Chris Schmullius (Department for 13 Earth Observation, Jena University, Germany)

14 14

15 Forest Cover Change Pilot Study Forest Cover (Structure) Change First Results (ERS-1/2 Tandem) /08 (ASAR GMM) - Xiaoxinganling 15

16 ZAPÁS Overall Project Concept

17 Classifier Results Spatial resolution issue GLC2000, 1km MODIS, 500m MERIS, 300m 17

18 Growing Stem Volume and National Land Cover Classes for NE China R. Leiterer (2011), MSc Thesis, University Jena

19 Spatial Agreement of Radar-retrieved stem volume and NLCD, NE China R. Leiterer (2011), MSc Thesis, University Jena

20 ZAPÁS Overall Project Concept

21 Envisat ASAR ScanSAR data distribution Wide Swath Mode 2007 Global Monitoring Mode

22 ESA s BIOMASAR-II project started November 2010 and maps growing stock volume of the whole northern hemisphere Team: Carsten Pathe, University Jena & Maurizio Santoro, Gamma Inc., Bern 22

23 BIOMASAR GSV map of Central Siberia 1-km forest GSV map of Central Siberia 2,400,000 km 2 ENVISAT ASAR Global Monitoring mode (Jan Feb. 2006) m 3 /ha GLC 2000 land cover used as background m 3 /ha 23

24 J. Reiche (2011) MSc Thesis University Jena BIOMASAR Model Retrieval Accuracy Reference parameterization GLAS based parameterization

25 CONCLUSIONS Strategic Objectives of ZAPÁS o o o o o o Joint exploitation of new (optical and radar) EO data Analysis of up- and down-scaling effects of integrated data sets and products Realization of cross-validation approaches Provision of a bi-lingual webportal to findings, data and products Design of an ESA-ROSCOSMOS approach to support a forest observation system Preparation of ESA s upcoming SENTINEL s 25

26 Thank you for your attention! Please follow us on 26