MOSAICKING. Affiliation: European Commission DG Joint Research Centre. Method

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1 MOSAICKING Affiliation: European Commission DG Joint Research Centre Geocoding using: Method JAXA slant range 50 m HH+HV detected data + SCANSAR data SRTM, GTOPO elevation data JAXA orbital data Radiometric revision for slope effects and range artifacts Mosaic compilation and stitching using a LS global optimization procedure Software JRC proprietary mosaicking code + SARMAP SARSCAPE

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5 MOSAICKING Geographic Areas High res mosaics Europe & Siberia EORC slant range 50 m detected data Insular SE Asia (selected areas) SCANSAR mosaics Africa (Congo river basin, Okavango delta) Eurasia (Ob river basin; Central Siberia)

6 MOSAICKING G-TOPO30 original resolution 900x450m 60 SRTM resolution 100x100m

7 MOSAICKING ISSUES FOR DISCUSSION Ancillary data from SIGMA-SAR processor Texture from high res data (wavelets?) JRC code to JAXA?

8 Can we catch secondary and swamp forest in tropical Africa by wavelet texture measures? Secondary forest River Swamp forest K-means clustering of wavelet texture feature vector (4 classes 4 iterations)

9 THEMATIC Mapping the Congo Basin - Central Floodplain and the Forest-Woodland Transition Zones Product Leader: Joint Research Centre Product Team (confirmed members): EC TREES-3 project partners Observatoire Aquitain des Sciences de l'univers JAXA EORC

10 Project Objectives Extension of the GRFM Africa vegetation maps to the transition zones at the borders of the Congo basin Generation of Inundation Duration map of the Congo basin Comparison with and update of the GRFM Congo floodplain map Rationale The transition zones at the borders of the Congo Basin are less studied than the humid forests. But the majority of the population is present in these transition zones. L-band images are potentially very important for the delineation of agricultural domain, woodlands and shrub-lands (with different levels of tree cover). Reforestation in these areas is an important issue that qualifies this product for supporting the Kyoto protocol requirements. Every-cycle ScanSAR mapping of the Central Congo floodplain will consolidate the analysis and estimates of exchange processes (such as methane emissions) so far carried out using the GRFM data sets.

11 Prototype Area Definition Prototype Area 1: Humid rain forest Southern transition zone Corresponding observation plan polygons: E2, E3, E4 Period: May-June No. PALSAR paths/coverage: ~52 passes PALSAR request (Year 1-3): ~52 passes Input data: geocoded terrain corrected JRC mosaics PALSAR HH+HV Prototype Area 2: Humid rain forest Northern transition zone Corresponding observation plan polygons: E4, E5 Period: October-November No. PALSAR paths/coverage: 74 PALSAR request (Year 1-3): 74 Input data: geocoded terrain corrected JRC mosaics PALSAR HH+HV Ancillary data requests: texture (100 m)

12 Prototype Area Definition Prototype Area 3: Congo River floodplain Corresponding observation plan polygon: E4 Period: 2007 Input data (EORC products): PALSAR HH+HV power calibrated slant range or power calibrated ground range (50 m) PALSAR SCANSAR time-series (12 months) Ancillary data requests: texture (100 m)

13 Deliverables K&C Product Deliverables (before end of Year 3): Thematic map of the forest woodlands transition zones in the Congo basin Flood Duration map of the Central Congo floodplain Vegetation map of the Central Congo floodplain Validation figures Prospects for Years 4-6 (assuming agreement extension): Cross comparison with TREES-3 classifications

14 Location of Prototype Areas

15 VEGETATION MAP OF THE CONGO BASIN ERS-1 JERS-1 VGT DATA TREES PROJECT GIS LAYERS Lowland rain forest Secondary forest Swamp forest Swamp grassland Savannah Water Plantations Sahelian steppe 500 km

16 FLOODPLAIN BETWEEN CONGO AND OUBANGI RIVERS Lowland rain forest Secondary forest Swamp forest (flooded) Swamp forest (dry season) Swamp grassland Savannah Water Urban Plantations Pixel size: 200 m - 1 km

17 Regional Scale Assessment of Forest Resources and Forest Properties Changes in Eurasia at Two Epochs Product Lead: Joint Research Centre Product Team (confirmed members only): VTT, Information Technology, Finland JAXA EORC SARMAP U. Trento

18 Project Objectives Compilation, geo-location and validation of a reference forest cover map of the Eurasian Taiga at epoch 1 (1997) using GBFM JERS-1 acquisitions, the GLC-2000 land cover map, USGS elevation data. Resolution element size 100 m. Compilation, geo-location and validation of a Taiga forest cover map at epoch 2 (2007) using PALSAR dual-pol data and ENVISAT MERIS data. Development of multi-scale multi-source image segmentation algorithms based on region detection and description. Differential measures of region properties between the two epochs and first estimate of the method s accuracy. Validation of the change map by cross-comparison with a statistical sample of cover-change maps at higher resolution. These maps will be derived by an independent analysis method.

19 Prototype Areas Definition Prototype Area 1: Siberia Corresponding observation plan polygons: A1, A2, A3, A4, A5 No. PALSAR paths/coverage: ~623 passes PALSAR request (Year 1-3): ~623 passes Input data: JRC mosaics Ancillary data requests: texture (100 m)

20 Prototype Areas Definition Prototype Area 2: Europe-Russia Corresponding observation plan polygons: D3, D4, D5 No. PALSAR paths/coverage: 266 PALSAR request (Year 1-3): 266 Input data: JRC mosaics Ancillary data requests: texture (100 m)

21 Location of Prototype Areas

22 VEGETATION MAP OF SIBERIA Water bodies Steppe Tundra, Shrubs Bogs Forest Union of: GBFM radar backscatter, radar texture measure, GLC2000 map Pixel spacing: 900 m Projection: Albers Global Vegetation equal area Monitoring conical Unit

23 UPSCALING TO 100 m: MAPPING PALSA BOGS GBFM radar mosaic 100 m Lee speckle filter K-means clustering 5 classes GBFM radar mosaic 900 m GBFM map 900 m GLC2000 map 900 m Wetlands between the Sibirskie Uvaly hills and the Ob River (73.28E, 62.29N) Institute for Environment and Sustainability

24 Deliverables K&C Product Deliverables (before end of Year 3): Map of forest resources in the Eurasian Taiga at two epochs ( ). Map of 10-year changes (segment based differential properties between two epochs). Prospects for Years 4-6 (assuming agreement extension): Accuracy assessment by independent data.