Landscape Analysis and Planning

Luc, Małgorzata; Somorowska, Urszula; Szmańda, Jacek

doi:10.1007/978-3-319-13527-4

Cited by 6 publications

(3 citation statements)

References 89 publications

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“…In many parts of the world, raw materials were mined in open pit mines during the last century, leaving many of these regions inhospitable or uninhabitable. To put these regions back into use, entire stretches of land must be renaturalized, which means that land must be ecologically restored with the aim to ultimately increase biodiversity, or recultivated, which means its productivity must be restored, e.g., reused for agriculture, recreational areas, industrial parks, solar and wind farms, or as building land (Luc et al, 2015). In the following, we subsume both renaturalization and recultivation under land reuse.…”

Section: Introductionmentioning

confidence: 99%

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning

Schröder¹,

Annanias²,

Niekler³

et al. 2021

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Confer

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Open pit mines left many regions worldwide inhospitable or uninhabitable. Many sites are left behind in a hazardous or contaminated state, show remnants of waste, or have other restrictions imposed upon them, e.g., for the protection of human or nature. Such information has to be permanently managed in order to reuse those areas in the future. In this work we present and evaluate an automated workflow for supporting the post-mining management of former lignite open pit mines in the eastern part of Germany, where prior to any planned land reuse, aforementioned information has to be acquired to ensure the safety and validity of such an endeavor. Usually, this information is found in expert reports, either in the form of paper documents, or in the best case as digitized unstructured text-all of them in German language. However, due to the size and complexity of these documents, any inquiry is tedious and time-consuming, thereby slowing down or even obstructing the reuse of related areas. Since no training data is available, we employ active learning in order to perform multi-label sentence classification for two categories of restrictions and seven categories of topics. The final system integrates optical character recognition (OCR), active-learningbased text classification, and geographic information system visualization in order to effectively extract, query, and visualize this information for any area of interest. Active learning and text classification results are twofold: Whereas the restriction categories were reasonably accurate (>0.85 F1), the seven topicoriented categories seemed to be complex even for human annotators and achieved mediocre evaluation scores (<0.70 F1).

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Section: Introductionmentioning

confidence: 99%

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning

Schröder¹,

Annanias²,

Niekler³

et al. 2021

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Confer

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“…There has also been a lot of work undertaken so far on the influence of tourism on the physiognomic aspects of the landscape (i.e. Wyrzykowski, 1991;Chmielewski, 2012;Gkoltsiou & Terkenli, 2012;Nita, Myga-Piątek, & Absalon, 2015;Chmielewski, Śleszyński, Chmielewski, & Kułak, 2018), but they have not attempted an objective approach to spatial issues in the study of tourist infrastructure. The quantity, quality and diversity of types of existing elements has so far been neglected.…”

Section: Introductionmentioning

confidence: 99%

Spatial diversity of tourist facilities in the Silesian Beskid mountains in Poland

Żemła-Siesicka¹,

Andreychouk²,

Myga-Piątek³

2020

Geogr. Pol.

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This article proposes a method of the assessment of distribution of tourist facilities. The main aim of presented study is to assess a spatial density of tourist elements. The evaluation of the distribution of tourist facilities in the landscape allows to indicate overloaded areas. The second purpose is the proposition of an indicator measuring the landscape saturation of tourist facilities, i.e. density index developed by the authors. The index, referred to river basin, is based on the ratio of the area of the tourist facilities to the total area of the unit. For the purposes of calculation, the authors developed a framework for the classification of tourist facilities based on its spatial character. The method was examined in the Silesian Beskid mountain range and can be applied in similar mountain areas.

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“…Landscape typology models were produced using various supervised classification methods based on the training samples of already classified or defined cells of individual landscape types. It was determined that the method selection had a strong impact on the results because modeled typologies matched the original ones by 51 to 75% (Ciglič 2014;Ciglič and Perko 2015). During the last testing of the original 1996 typology, its accuracy was estimated at 94% (Ciglič et al 2017).…”

Section: Introductionmentioning

confidence: 99%

The usefulness of unsupervised classification methods for landscape typification: The case of Slovenia

Perko

Ciglič²,

Hrvatin³

2019

AGS

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Gender, age and education differences in food consumption within a region: Case studies of Belgrade and Novi Sad (Serbia) Special issue-Franciscean cadaster as a source of studying landscape changes Matej GABROVEC, Ivan BIČÍK, Blaž KOMAC Land registers as a source of studying long-term land-use changes Ivan BIČÍK, Matej GABROVEC, Lucie KUPKOVÁ Long-term land-use changes: A comparison between Czechia and Slovenia Lucie KUPKOVÁ, Ivan BIČÍK, Zdeněk BOUDNÝ Long-term land-use / land-cover changes in Czech border regions Drago KLADNIK, Matjaž GERŠIČ, Primož PIPAN, Manca VOLK BAHUN Land-use changes in Slovenian terraced landscapes Daniela RIBEIRO, Mateja ŠMID HRIBAR Assessment of land-use changes and their impacts on ecosystem services in two Slovenian rural landscapes Mojca FOŠKI, Alma ZAVODNIK LAMOVŠEK Monitoring land-use change using selected indices

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Landscape Analysis and Planning

Cited by 6 publications

References 89 publications

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning

Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning

Spatial diversity of tourist facilities in the Silesian Beskid mountains in Poland

The usefulness of unsupervised classification methods for landscape typification: The case of Slovenia

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