@techreport{citeulike:14284151,
    abstract = {[Excerpt: Executive Summary]

Strategic discussions among {EEA} member countries and the main {EU} institutions
responsible for environmental policy, reporting and assessment have underlined an
increasing need for quantitative information on the state of the environment based on
timely, quality-assured data, concerning in particular land cover and land use. Based on
these requirements {EEA} has been collaborating since 2006 with the European
Commission and the European Space Agency on the implementation of a fast track
service on land monitoring as part of the implementation of {GMES}.

[\n] {CORINE} Land Cover 2006 is the third European Land Cover inventory (1990, 2000 and
2006). The number of participating countries is increasing, at present being nominally
39. New countries ({CH}, {IS}, {NO}, {TR}) not participating previous {CLC} inventories have
joined the project. Altogether 38 countries have implemented {CLC2006}. 

[\n] {CLC2006} project is co-financed by the {EEA} and the member countries, and covers 5.8
Mkm2 of the European continent. For production of {CLC}-Change2000-2006 database
 ” change-mapping first” visual photo-interpretation technology was successfully applied
by majority of countries. Scandinavian countries replaced part of labour-intensive photointerpretation
with {GIS} and image processing. {CLC2006} database was usually produced
in {GIS} by adding {CLC}-Change2000-2006 to revised {CLC2000}.

[\n] A Technical Team under {ETC}-{LUSI} was responsible for technical follow-up of the project,
i.e. training of national teams and verification of results. National teams used multitemporal
(2 coverages) {SPOT}-4/5 and/or {IRS}-P6 imagery to derive the minimum 5 ha
land cover changes that occurred between 2000 and 2006. Ortho-corrected satellite
images provided a solid geometrical basis for mapping land cover changes. Particular
emphasis was placed on mapping real change processes. Several national teams had
access to recent topographic maps and digital orthophotos as in-situ data. The standard
{CLC} nomenclature used since the mid 1980's was applicable, although minor
modifications were required due to involvement of new countries and occurrence of
specific changes. Recent report also presents examples of (1) typical cases of significant
change processes, and (2) typical mistakes, which have to be avoided.

[\n] Results of the {CLC2006} project ({CLC2006} and {CLC}-Change2000-2006 databases) are for free
available from the {EEA} for any users. Results show that land cover changed on 1.24\% of
the surface of Europe between 2000 and 2006, which is equivalent to the size of
Lithuania. Forestry changes (forest felling and growth) constitute the largest change
area, also providing the highest number of change polygons. Several policy-relevant
processes can be derived from the {CLC}-Change dataset based on Land Cover Flows, such
as urban sprawl, changes in agriculture and forestry, new water bodies etc. Portugal is
the country having far more the highest {CLC} dynamics: the change rate exceeds 1.4
\%/year between 2000 and 2006. On the other end, the less dynamic countries are Malta,
Switzerland and Slovenia having changed less than 0.01\%/year. The average yearly land
cover change value in Europe is 0.23\%.

[\n] Stratified random sampling was used for validating {CLC}-Change2000-2006. The obtained
87.82\%±3.30\% (commission error only) overall accuracy based on 2405 samples is
satisfying. Omissions were not possible to measure due to the very large sample size
required, being the consequence of small change percentage.

[\n] Additional testing of ten important level-3 changes (belonging to eight different Land
Cover Flows) showed that all but two change types have more than 85\% accuracy. Only
two change types were mapped with accuracy lower than 85\%: (1) growth of coniferous
forests; (2) pasture/set-aside land turned to arable land.

[\n] Main reasons of the 3-year-long implementation time are difficulties in providing national
contribution and long {GIS} integration time in some of the 38 participants.

[\n] [...]},
    author = {B\"{u}ttner, G. and Kosztra, B. and Maucha, G. and Pataki, R.},
    citeulike-article-id = {14284151},
    citeulike-linkout-0 = {http://mfkp.org/INRMM/article/14284151},
    citeulike-linkout-1 = {https://scholar.google.com/scholar?cluster=101018774320527470},
    citeulike-linkout-2 = {http://www.eea.europa.eu/ds\_resolveuid/GQ4JECM8TB},
    editor = {Erhard, Markus},
    institution = {European Environment Agency},
    keywords = {clc, corroboration, europe, land-cover, validation},
    posted-at = {2017-02-22 14:30:59},
    priority = {2},
    title = {{Implementation and
achievements of CLC2006}},
    url = {http://mfkp.org/INRMM/article/14284151},
    year = {2012}
}

{"_id":"4yEcw997XZvvShFSv","bibbaseid":"bttner-kosztra-maucha-pataki-implementationandachievementsofclc2006-2012","downloads":0,"creationDate":"2017-06-22T15:25:07.191Z","title":"Implementation and achievements of CLC2006","author_short":["Büttner, G.","Kosztra, B.","Maucha, G.","Pataki, R."],"year":2012,"bibtype":"techreport","biburl":"http://www.citeulike.org/bibtex/group/15400/","bibdata":{"bibtype":"techreport","type":"techreport","abstract":"[Excerpt: Executive Summary] Strategic discussions among EEA member countries and the main EU institutions responsible for environmental policy, reporting and assessment have underlined an increasing need for quantitative information on the state of the environment based on timely, quality-assured data, concerning in particular land cover and land use. Based on these requirements EEA has been collaborating since 2006 with the European Commission and the European Space Agency on the implementation of a fast track service on land monitoring as part of the implementation of GMES. [\\n] CORINE Land Cover 2006 is the third European Land Cover inventory (1990, 2000 and 2006). The number of participating countries is increasing, at present being nominally 39. New countries (CH, IS, NO, TR) not participating previous CLC inventories have joined the project. Altogether 38 countries have implemented CLC2006. [\\n] CLC2006 project is co-financed by the EEA and the member countries, and covers 5.8 Mkm2 of the European continent. For production of CLC-Change2000-2006 database ” change-mapping first” visual photo-interpretation technology was successfully applied by majority of countries. Scandinavian countries replaced part of labour-intensive photointerpretation with GIS and image processing. CLC2006 database was usually produced in GIS by adding CLC-Change2000-2006 to revised CLC2000. [\\n] A Technical Team under ETC-LUSI was responsible for technical follow-up of the project, i.e. training of national teams and verification of results. National teams used multitemporal (2 coverages) SPOT-4/5 and/or IRS-P6 imagery to derive the minimum 5 ha land cover changes that occurred between 2000 and 2006. Ortho-corrected satellite images provided a solid geometrical basis for mapping land cover changes. Particular emphasis was placed on mapping real change processes. Several national teams had access to recent topographic maps and digital orthophotos as in-situ data. The standard CLC nomenclature used since the mid 1980's was applicable, although minor modifications were required due to involvement of new countries and occurrence of specific changes. Recent report also presents examples of (1) typical cases of significant change processes, and (2) typical mistakes, which have to be avoided. [\\n] Results of the CLC2006 project (CLC2006 and CLC-Change2000-2006 databases) are for free available from the EEA for any users. Results show that land cover changed on 1.24% of the surface of Europe between 2000 and 2006, which is equivalent to the size of Lithuania. Forestry changes (forest felling and growth) constitute the largest change area, also providing the highest number of change polygons. Several policy-relevant processes can be derived from the CLC-Change dataset based on Land Cover Flows, such as urban sprawl, changes in agriculture and forestry, new water bodies etc. Portugal is the country having far more the highest CLC dynamics: the change rate exceeds 1.4 %/year between 2000 and 2006. On the other end, the less dynamic countries are Malta, Switzerland and Slovenia having changed less than 0.01%/year. The average yearly land cover change value in Europe is 0.23%. [\\n] Stratified random sampling was used for validating CLC-Change2000-2006. The obtained 87.82%±3.30% (commission error only) overall accuracy based on 2405 samples is satisfying. Omissions were not possible to measure due to the very large sample size required, being the consequence of small change percentage. [\\n] Additional testing of ten important level-3 changes (belonging to eight different Land Cover Flows) showed that all but two change types have more than 85% accuracy. Only two change types were mapped with accuracy lower than 85%: (1) growth of coniferous forests; (2) pasture/set-aside land turned to arable land. [\\n] Main reasons of the 3-year-long implementation time are difficulties in providing national contribution and long GIS integration time in some of the 38 participants. [\\n] [...]","author":[{"propositions":[],"lastnames":["Büttner"],"firstnames":["G."],"suffixes":[]},{"propositions":[],"lastnames":["Kosztra"],"firstnames":["B."],"suffixes":[]},{"propositions":[],"lastnames":["Maucha"],"firstnames":["G."],"suffixes":[]},{"propositions":[],"lastnames":["Pataki"],"firstnames":["R."],"suffixes":[]}],"citeulike-article-id":"14284151","citeulike-linkout-0":"http://mfkp.org/INRMM/article/14284151","citeulike-linkout-1":"https://scholar.google.com/scholar?cluster=101018774320527470","citeulike-linkout-2":"http://www.eea.europa.eu/ds_resolveuid/GQ4JECM8TB","editor":[{"propositions":[],"lastnames":["Erhard"],"firstnames":["Markus"],"suffixes":[]}],"institution":"European Environment Agency","keywords":"clc, corroboration, europe, land-cover, validation","posted-at":"2017-02-22 14:30:59","priority":"2","title":"Implementation and achievements of CLC2006","url":"http://mfkp.org/INRMM/article/14284151","year":"2012","bibtex":"@techreport{citeulike:14284151,\n abstract = {[Excerpt: Executive Summary]\n\nStrategic discussions among {EEA} member countries and the main {EU} institutions\nresponsible for environmental policy, reporting and assessment have underlined an\nincreasing need for quantitative information on the state of the environment based on\ntimely, quality-assured data, concerning in particular land cover and land use. Based on\nthese requirements {EEA} has been collaborating since 2006 with the European\nCommission and the European Space Agency on the implementation of a fast track\nservice on land monitoring as part of the implementation of {GMES}.\n\n[\\n] {CORINE} Land Cover 2006 is the third European Land Cover inventory (1990, 2000 and\n2006). The number of participating countries is increasing, at present being nominally\n39. New countries ({CH}, {IS}, {NO}, {TR}) not participating previous {CLC} inventories have\njoined the project. Altogether 38 countries have implemented {CLC2006}. \n\n[\\n] {CLC2006} project is co-financed by the {EEA} and the member countries, and covers 5.8\nMkm2 of the European continent. For production of {CLC}-Change2000-2006 database\n ” change-mapping first” visual photo-interpretation technology was successfully applied\nby majority of countries. Scandinavian countries replaced part of labour-intensive photointerpretation\nwith {GIS} and image processing. {CLC2006} database was usually produced\nin {GIS} by adding {CLC}-Change2000-2006 to revised {CLC2000}.\n\n[\\n] A Technical Team under {ETC}-{LUSI} was responsible for technical follow-up of the project,\ni.e. training of national teams and verification of results. National teams used multitemporal\n(2 coverages) {SPOT}-4/5 and/or {IRS}-P6 imagery to derive the minimum 5 ha\nland cover changes that occurred between 2000 and 2006. Ortho-corrected satellite\nimages provided a solid geometrical basis for mapping land cover changes. Particular\nemphasis was placed on mapping real change processes. Several national teams had\naccess to recent topographic maps and digital orthophotos as in-situ data. The standard\n{CLC} nomenclature used since the mid 1980's was applicable, although minor\nmodifications were required due to involvement of new countries and occurrence of\nspecific changes. Recent report also presents examples of (1) typical cases of significant\nchange processes, and (2) typical mistakes, which have to be avoided.\n\n[\\n] Results of the {CLC2006} project ({CLC2006} and {CLC}-Change2000-2006 databases) are for free\navailable from the {EEA} for any users. Results show that land cover changed on 1.24\\% of\nthe surface of Europe between 2000 and 2006, which is equivalent to the size of\nLithuania. Forestry changes (forest felling and growth) constitute the largest change\narea, also providing the highest number of change polygons. Several policy-relevant\nprocesses can be derived from the {CLC}-Change dataset based on Land Cover Flows, such\nas urban sprawl, changes in agriculture and forestry, new water bodies etc. Portugal is\nthe country having far more the highest {CLC} dynamics: the change rate exceeds 1.4\n\\%/year between 2000 and 2006. On the other end, the less dynamic countries are Malta,\nSwitzerland and Slovenia having changed less than 0.01\\%/year. The average yearly land\ncover change value in Europe is 0.23\\%.\n\n[\\n] Stratified random sampling was used for validating {CLC}-Change2000-2006. The obtained\n87.82\\%±3.30\\% (commission error only) overall accuracy based on 2405 samples is\nsatisfying. Omissions were not possible to measure due to the very large sample size\nrequired, being the consequence of small change percentage.\n\n[\\n] Additional testing of ten important level-3 changes (belonging to eight different Land\nCover Flows) showed that all but two change types have more than 85\\% accuracy. Only\ntwo change types were mapped with accuracy lower than 85\\%: (1) growth of coniferous\nforests; (2) pasture/set-aside land turned to arable land.\n\n[\\n] Main reasons of the 3-year-long implementation time are difficulties in providing national\ncontribution and long {GIS} integration time in some of the 38 participants.\n\n[\\n] [...]},\n author = {B\\\"{u}ttner, G. and Kosztra, B. and Maucha, G. and Pataki, R.},\n citeulike-article-id = {14284151},\n citeulike-linkout-0 = {http://mfkp.org/INRMM/article/14284151},\n citeulike-linkout-1 = {https://scholar.google.com/scholar?cluster=101018774320527470},\n citeulike-linkout-2 = {http://www.eea.europa.eu/ds\\_resolveuid/GQ4JECM8TB},\n editor = {Erhard, Markus},\n institution = {European Environment Agency},\n keywords = {clc, corroboration, europe, land-cover, validation},\n posted-at = {2017-02-22 14:30:59},\n priority = {2},\n title = {{Implementation and\nachievements of CLC2006}},\n url = {http://mfkp.org/INRMM/article/14284151},\n year = {2012}\n}\n\n","author_short":["Büttner, G.","Kosztra, B.","Maucha, G.","Pataki, R."],"editor_short":["Erhard, M."],"key":"citeulike:14284151","id":"citeulike:14284151","bibbaseid":"bttner-kosztra-maucha-pataki-implementationandachievementsofclc2006-2012","role":"author","urls":{"Paper":"http://mfkp.org/INRMM/article/14284151"},"keyword":["clc","corroboration","europe","land-cover","validation"],"downloads":0},"search_terms":["implementation","achievements","clc2006","büttner","kosztra","maucha","pataki"],"keywords":["clc","corroboration","europe","land-cover","validation"],"authorIDs":[],"dataSources":["fYpmg9W7iaWenpuRo"]}