ZRCSAZU. Remote sensing and Earth observation data at ZRC SAZU. dr. Tatjana Veljanovski Atrij ZRC Ljubljana
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1 ZRCSAZU Remote sensing and Earth observation data at ZRC SAZU dr. Tatjana Veljanovski Atrij ZRC Ljubljana
2 Remote Sensing Department
3 Remote Sensing Department 20 years of experience application, research and development GIS and remote sensing pioneering group
4 Remote sensing research and applications topographic modelling and thematic mapping geometric and radiometric pre-processing LU/LC classification change detection disaster monitoring urban areas observation, water bodies mapping maritime surveillance vegetation development (and deviations) monitoring high precision relief and digital elevation modelling archaeological site observations, past lands recovering
5 EO data Optical: Landsat SPOT RapidEye PROBA-V, MERIS, MODIS, SPOT-VGT WorldView, Pleiades, Ikonos, GeoEye, QuickBird Sentinel-2 SAR: ENVISAT, RadarSat Sentinel-1 aerial photography lidar
6 Disaster monitoring Floods, landslides, forest fires
7 Floods dynamics around Ljubljana 2010
8 Detail of an area
9 Classification
10 Rapid mapping products satellite maps and interpreted maps
11 Mapping of water bodies Sentinel-1 data service
12 Photo: Peter Pehani Processing chain
13 Historical analyses Cultural heritage recovery Breginj, cultural heritage, earthquake, aerial photography
14 Photo: Jaka Čop
15 Breginj
16 3D model of old settlement
17 Structure-From-Motion DSMs
18 Historical land use
19 Observation of archaeological sites Lidar data processing and visualizations
20 St. Helena a fortified camp late Roman period Foto: Željko Cimprič
21 0 100 m
22 RVT toolbox m (20 px) m
23 iaps.zrc-sazu.si/en/rvt Relief Visualization Toolbox (RVT)
24 Advanced maritime surveillance Detection and identification of vessels
25 Sea roughness removal
26 Vessels detection ~80% overall accuracy works with all optical sensors Lampedusa, Italija WorldView-2
27 SILIS Satellite images for a Slovenian land information system Classification and change detection
28 Land cover classification of Slovenia: 1992
29 Aims a prototype of an accurate, countrywide, harmonized land information system that covers present and future needs of its users in Slovenia designed for straightforward continuous updating
30 Workflow
31 Detailed land cover classification
32 PROBA-V 100 m Development of vegetation products Vegetation and bio-physical products development Monitoring forest state, disturbance detection in forests Feeding the SFI VegX dissemination and analytical tool Global to regional spatio-temporal compositing
33 Aims 100 m vegetation and bio-physical products development optimal spatio-temporal compositing application of vegetation products for forestry detection of deviations: ice storm damage, forest fires, wind throws
34 fapar forest interannual differences in forest state
35 Monthly mosaic of NDVI composites: Europe PROBA-V 100 m regional to global compositing big data processing various compositing techniques composites of various vegetation indicators: NDVI, EVI, MSAVI, fapar, LAI, fcover...
36 What is behind... working with a large set of various EO data systematic approach development of autonomous procedures verification of processes and outputs developing and adapting knowledge about EO image processing to user needs outputs: provision of EO data ready for services
37 Where to... systematic high frequency EO monitoring - for specific users (e.g. forestry, water management) to become a relevant information provider to companies and government bodies in relation to land inventories and sustainable monitoring participating in international collaboration on sustained Earth observation and providing data processing for global users
38 ZRC SAZU Research Centre of the Slovenian Academy of Sciences and Arts
GCOS High Resolution Land Cover ECV. Slide 11
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