The LISA extension to INSPIRE LC/LU data model: The Austrian experience
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1 The LISA extension to INSPIRE LC/LU data model: The Austrian experience Gebhard Banko, Environment Agency Austria Roland Grillmayer, Environment Agency Austria Wolfgang Stemberger, GeoVille INSPIRE KEN 15. Nov. 2017, Brussels
2 LISA Project evolution Product portfolio Data model EAGLE based INSPIRE compatible extension Content
3 LISA land information system Austria LISA phase 1: (FFG financed) Segmentation and classification of orthofotos LISA phase 2: (FFG financed) Larger test sites LISA phase 3: (ESA financed) Mapping of larger areas (urban agglomerations) LISA phase 4: (ESA financed) Integration of Sentinel-2 data Temporal dimension
4 LISA cooperation project Project lead + main service provider: GeoVille GmbH, Innsbruck Service provider: Joanneum, Graz Scientific team: AIT Austrian Institute of Technology, University of Life Sciences (BOKU), Technical University Vienna Users: Umweltbundesamt, BEV, ministry for agriculture & environment, statistical office Austria, regional states, Financing programm FFG Austrian Space and application programme ESA European Space Agency
5 Orthofoto (resampled from 25 to 50 cm)
6 Orthofoto + ndsm
7 Ortho + ALS + Segmentation
8 LISA land cover classification
9 LISA Land cover classes MMU (class depending) 25 m m 2
10 LISA: land information system austria Object based land information system Geometric objects (2-D information) Mixed approach Derived from existing databases (e.g. IACS) Derived from segmentation of orthofotos + ndsm Thematic information = characterisation of objects Thematic class from CIR-orthofotos spectral reflection According to EAGLE data model Object height (3-D information) TIME!!! (4-D information) Sentinel-2 (Landsat 7+8)
11 Products in CadasterENV P1: HR Land Cover Map using Sentinel-2 in 10 m resolution P2: Enhanced LISA Land Cover Map (adding information to existing, very detailled land cover) Change Alerts (P3) New urban areas Deforestation HR Land Cover Monitoring (P4) Bare soil count Mowing count Water occurrence Ecosystem Maps (P5) Forest degradation
12 Integration of data: informal data model
13 Data model: LISA, INSPIRE + EAGLE EAGLE European Action Group on Land Monitoring in Europe Extension of INSPIRE data model for land cover LISA data model Modification to reach compatibility with INSPIRE and EAGLE
14 Changes in landmonitoring Various types of changes Status changes Seasonald changes Conditional changes Growth, succcession growth, succession Drought stress, climate, incsects Deforestation, Soil sealing growt harvest Urban succession
15 Data model time machine Wihtin 1 LC-unit more than 1 LC component can exist over time (seasonal changes)
16 attributive parameters for LC unit A single observation can be stored with A specific observation date ObservationDate With a specific thematic reference parametricobservation
17 Parametric observation
18 Parametric observation
19 bare soil Herbeceous veg. bare soil Herbeceous veg. bare soil LCcomponent Parametric observation
20 Herbeceous periodically. LC-Unit bare soil Herbeceous veg. bare soil Herbeceous veg. bare soil LCcomponent Parametric observation
21
22 Wheat vegetation cycle 1. April 1. June 15. July 1. Sept. 15. April 15. June 1. Aug. 15. Sept. 15. May 1. July 15. Aug. 1. Oct.
23 NDVI 0.9 Wheat Wheat Harvest: 6. July /02/ 03/03/ 02/04/ 02/05/ 01/06/ 01/07/ 31/07/ 30/08/ 29/09/ 29/10/
24 NDVI 0.9 Wheat Herbeceous periodically. LC-Unit 0.8 Bare soil Herbaceous vegetation Bare soil Herb. Veg. LC-component Parametric observation 0.4 Wheat /02/ 03/03/ 02/04/ 02/05/ 01/06/ 01/07/ 31/07/ 30/08/ 29/09/ 29/10/
25
26 Parametric observation LC components LC Unit
27 Demo-application conclusions Extension of INSPIRE data model Application of EAGLE data model
28
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