Transcript RSG Geometric Modelling and Rectification
George Büttner et al.: Institute of Geodesy, Cartography and Remote Sensing (FÖMI) Remote Sensing Centre Budapest, Hungary
Construction of a large scale (1:50k) land cover database in Hungary
Contents: The EU CORINE Land Cover in Hungary Applications, the need for a better national database Technical solutions Results
GSDI 6 Conference "From Global to local" September 16-19, 2002 Budapest, Hungary
Why Land Cover is needed?
• Quantitative basis to develop a sustainable land use systems • A basic data layer in any environmental modelling: hydrology, flood protection soil erosion agriculture regional development, integrated environmental assessment telecommunication …..
• There is a need for standardised data sets in order to model trans boundary phenomena and foster international cooperation
Why to use Remote Sensing?
Topographic map (1975)
Tuzla (B-H)
IRS-1C & SPOT Pan (1998)
CORINE Land Cover
CORINE = Co-ordination of Information on the Environment
Land cover: biophysical coverage of the Earth’s surface (changes > 1 year)
• project initiated by the European Commission • working scale - 1 : 100 000 • minimum mapping unit: 25 ha • 28 countries are involved, 4.43 million km 2 Purpose: To provide quantitative, consistent and comparable information on land cover CLC in Europe: • Support from various European programmes • 26 countries (1985-1998) • an update has started (CLC2000)
CORINE Land Cover - methodology
Input : Landsat TM satellite image photomaps (scale 1 : 100 000) Method: Visual interpretation with computer assistance, use of ancillary information (maps, air-photos), field checking Output: Digital database including 44 categories in five groups: - artificial surfaces - agriculture - forest and semi-natural vegetation - wetlands - water bodies The “BIBLE”: CORINE Land Cover Technical Guide (1994)
Major applications of CORINE Land Cover
Support: CLC100:1993-1997 CLC50: MoARD and ???? (1999-????) •
Crop mapping and yield forecast (FÖMI)
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Regional planning (VÁTI)
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Development of EU-conform land-use strategy (U. Gödöllő)
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Catchment based environment modelling (FÖMI-Vituki Consult)
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Flood protection planning (VITUKI Consult)
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Nature protection (MoE)
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Telecommunication network panning (Mannessmann, Ericsson)
CORINE Land Cover - Hungary
Application in regional crop monitoring
Aims: • identification of crops based on high resolution, multitemporal satellite imagery • providing thematic crop maps • crop area measurement Nográd Győr-Moson-Sopron Vas Zala Komárom-Esztergom Veszprém Fejér Budapest Pest Baranya Bács-Kiskun Heves Borsod-Abaúj-Zemplén Szabolcs-Szatmár-Bereg Hajdú-Bihar Jász-Nagykun-Szolno k
Partial data of the farms Additional ground survey
Contractor: Ministry of Agriculture and Regional Development (an operational activity) Implemented by: FÖMI Method: supervised classification of satellite images The CORINE Land Cover database is used to mask non-arable land areas out of the classification
NEEDS FOR DETAILED LAND COVER
To support Hungary’s accession to the EU:
• Planning sustainable land use (e.g. converting arable land to grassland and forest land) • Integrated landuse management for landscape, soil and hydrological conservation areas • Network of Environmentally Sensitive Areas (agri-environment protection) • Rural development • Habitats Directive (nature protection) Legal background: 2339/1996.(XII.6) Government Resolution
CLC50 preparations
• Acquisition of SPOT-4 imagery for the entire country, summer 1998-99 • High precision orthorectification: RMSE<10 méter • Nomenclature development (national needs, EU compatibility) • Development of a computer assisted photointerpretation tool (ArcView/ InterView)
Comparison of CLC100 and CLC50
Eger NE Hungary 1 : 100 000 •Better geometrical resolution •Better thematic resolution •More precise delineation •Actual (1998/99)
1 : 50 000
CLC50 processing chain
Data preparations (FÖMI) Photointerpretation (team) Internal quality control (FÖMI) Field work (team) External quality control (nature protection, agricultural inspectorate) Data integration (FÖMI)
CLC50 - NOMENCLATURE
1. Artificial surfaces (26 items):
Residential, industrial, commercial, traffic, mines, dumps, construction, parks, cemeteries, sport, leisure, recreation
2. Agriculture (21 items):
Arable land (small / large fields), irrigated arable land, greenhouses, rice fields, vineyards, orchards, berries, hop plantations, intensive pastures with / without trees and shrubs, agricultural mosaics, farmsteads, agriculture with natural formations (5 types)
3. Forests and semi-natural vegetation (22 items)
Broadleaved / coniferous / mixed forests with continuous / discontinous canopy; on dry / wet area; forest plantations; natural grassland with / without trees and shrubs; young stands and clearcuts; bushy woodlands; nurseries, damaged forests, bare rocks, sparse vegetation on sand/ rocks/ salines; burnt areas
4. Wetlands (4)
Fresh water marshes, saline-alkaline marshes; explored / unexplored peat bogs
5. Water bodies (6)
Rivers, channels, permanent lakes, salt affected lakes; reservoirs, fish ponds
COMPUTER ASSISTED PHOTOINTERPRETATION
Aims: optimal combination of capabilities of human expert and computer
• easy zoom of imagery • application of multitemporal imagery • precise delineation of polygons • easy corrections • automatic checking of polygon codes • automatic checking of polygon geometry (area, average width) • possibility to use comments and remarks on polygon level (a tool for „discussion”) • on-line nomenclature • controlled conversion into polygon topology • data exchange via e-mail
Realisation: ArcView 3.1/3.2 macro package (InterView)
PHOTOINTERPRETATION - an example
PHOTOINTERPRETATION example of a multitemporal imagery
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Separation of annual crops and plantations
Multitemporal imagery - an example
SPOT-4: 1998 Temporal dynamics supports identification Landsat TM: 1990
INTERNAL QUALITY CONTROL
• Remarks on polygon level in file (errors, uniform understanding of nomenclature) • Printed protocol
Status of CLC50 (December 2002)
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RESULTS
Budapest
RESULTS
Balaton
Thanks for your attention !
Aggtelek National Park