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An accuracy assessment of European Soil Sealing Dataset (SSL2009): Stara Miłosna area, Poland - a case study

100%
Pabjanek P., Krówczyńska M., Wilk E., Miecznikowski M.
Miscellanea Geographica. Regional Studies on Development
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2016
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vol. 20
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issue 4
59-63
EN
the purpose of the undertaken survey is to assess the accuracy of the SSe2009, based on a reference dataset. the dataset contains 3,600 samples with the same spatial resolution as the final Soil Sealing layer product and covers a rectangle of 36 km2. the basis for assessing the accuracy was the photointerpretation of the orthophotomap. the overall accuracy with data division into 6 classes amounted to 65%; while divided into 2 classes: sealed and non-sealed reached 95%. the evaluation results accuracy may form the basis for future improvements in evaluation methods impervious surface.
2
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Mapping asbestos-cement roofing with the use of APEX hyperspectral airborne imagery: Karpacz area, Poland – a case study

88%
Krówczyńska M., Wilk E., Pabjanek P., Zagajewski B., Meuleman K.
Miscellanea Geographica. Regional Studies on Development
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2016
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vol. 20
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issue 1
41-46
EN
Asbestos and asbestos containing products are harmful to human health, and therefore its use has been legally forbidden in the EU. Since there is no adequate data on the amount of asbestos-cement roofing in Poland, the objective of this study was to map asbestos-cement roofing with the use of hyperspectral APEX data (288 bands at the spatial resolution of 2.7 m) in the Karpacz area (southwest Poland). A field survey constituted the basis for training and verification polygons in the classification process. A SAM classification method was performed with the following classification results: 62% producer’s accuracy, 73% user’s accuracy and an overall accuracy of 95%. The asbestos-cement roofing for buildings may be discriminated with a high classification accuracy with the use of hyperspectral imagery. The vast majority of the classified buildings were characterised by their small area (i.e. residential type buildings), which reduced the overall accuracy of the classification.
3
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ACCURACY OF THE SOIL SEALING ENHANCEMENT PRODUCT FOR POLAND

76%
Krówczyńska M., Soszyńska A., Pabjanek P., Wilk E., Hurbanek P., Rosina K.
Quaestiones Geographicae
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2016
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vol. 35
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issue 3
89-95
EN
Increasing urbanization results in constant enlarging of the artificial area closed to water infiltration. In 2006–2008, the Soil Sealing Enhancement (SSE) database was the part of the GMES Fast Track Service on Land Monitoring. The accuracy of the final product set by the authors should reach at least 85%. Orthorectified high resolution aerial photos of Poland were used to develop reference data constituting 20,000 random samples around the country. In each sample, the points were classified into three possible surface classes: natural, artificial and semi-sealed. Comparison of reference data to original project statistics revealed the values of accuracy, commission and omission errors in the SSE dataset. Although, SSE accuracy in Poland fulfils the criteria set by SSE authors with overall accuracy of 99.5%, the individual analysis for each category reveals many weaknesses. Preliminary interpretation of mistakes leads to the conclusion that the spatial resolution of pictures used in the SSE project is insufficient. In several cases, validation proved that omission errors were made in relation to construction sites or recently constructed buildings. It should be stated that the accuracy of SSE product for Poland should be treated as the maximum value of impervious surfaces.
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