On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study
Social media continues to grow, permanently capturing our digital footprint in the form of texts, photographs, and videos, thereby reflecting our daily lives. Therefore, recent studies are increasingly recognising passively crowdsourced geotagged photographs retrieved from location-based social medi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/9/5/158 |
| _version_ | 1797567582892457984 |
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| author | Oleksandr Karasov Stien Heremans Mart Külvik Artem Domnich Igor Chervanyov |
| author_facet | Oleksandr Karasov Stien Heremans Mart Külvik Artem Domnich Igor Chervanyov |
| author_sort | Oleksandr Karasov |
| collection | DOAJ |
| description | Social media continues to grow, permanently capturing our digital footprint in the form of texts, photographs, and videos, thereby reflecting our daily lives. Therefore, recent studies are increasingly recognising passively crowdsourced geotagged photographs retrieved from location-based social media as suitable data for quantitative mapping and assessment of cultural ecosystem service (CES) flow. In this study, we attempt to improve CES mapping from geotagged photographs by combining natural language processing, i.e., topic modelling and automated machine learning classification. Our study focuses on three main groups of CESs that are abundant in outdoor social media data: landscape watching, active outdoor recreation, and wildlife watching. Moreover, by means of a comparative viewshed analysis, we compare the geographic information system- and remote sensing-based landscape organisation metrics related to landscape coherence and colour harmony. We observed the spatial distribution of CESs in Estonia and confirmed that colour harmony indices are more strongly associated with landscape watching and outdoor recreation, while landscape coherence is more associated with wildlife watching. Both CES use and values of landscape organisation indices are land cover-specific. The suggested methodology can significantly improve the state-of-the-art with regard to CES mapping from geotagged photographs, and it is therefore particularly relevant for monitoring landscape sustainability. |
| first_indexed | 2024-03-10T19:44:57Z |
| format | Article |
| id | doaj.art-9300997b99fb449d8d7dd6acf6533349 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-10T19:44:57Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-9300997b99fb449d8d7dd6acf65333492023-11-20T00:54:32ZengMDPI AGLand2073-445X2020-05-019515810.3390/land9050158On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case StudyOleksandr Karasov0Stien Heremans1Mart Külvik2Artem Domnich3Igor Chervanyov4Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 51006 Tartu, EstoniaResearch Institute for Nature and Forest (INBO), 1000 Brussels, BelgiumInstitute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 51006 Tartu, EstoniaInstitute of Computer Science, University of Tartu, 51009 Tartu, EstoniaPhysical Geography and Cartography Department, School of Geology, Geography, Recreation and Tourism, V. N. Karazin Kharkiv National University, 61022 Kharkiv, UkraineSocial media continues to grow, permanently capturing our digital footprint in the form of texts, photographs, and videos, thereby reflecting our daily lives. Therefore, recent studies are increasingly recognising passively crowdsourced geotagged photographs retrieved from location-based social media as suitable data for quantitative mapping and assessment of cultural ecosystem service (CES) flow. In this study, we attempt to improve CES mapping from geotagged photographs by combining natural language processing, i.e., topic modelling and automated machine learning classification. Our study focuses on three main groups of CESs that are abundant in outdoor social media data: landscape watching, active outdoor recreation, and wildlife watching. Moreover, by means of a comparative viewshed analysis, we compare the geographic information system- and remote sensing-based landscape organisation metrics related to landscape coherence and colour harmony. We observed the spatial distribution of CESs in Estonia and confirmed that colour harmony indices are more strongly associated with landscape watching and outdoor recreation, while landscape coherence is more associated with wildlife watching. Both CES use and values of landscape organisation indices are land cover-specific. The suggested methodology can significantly improve the state-of-the-art with regard to CES mapping from geotagged photographs, and it is therefore particularly relevant for monitoring landscape sustainability.https://www.mdpi.com/2073-445X/9/5/158cultural ecosystem servicesautomated image recognitionnatural language processingtopic modellinglandscape coherencecolour harmony |
| spellingShingle | Oleksandr Karasov Stien Heremans Mart Külvik Artem Domnich Igor Chervanyov On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study Land cultural ecosystem services automated image recognition natural language processing topic modelling landscape coherence colour harmony |
| title | On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study |
| title_full | On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study |
| title_fullStr | On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study |
| title_full_unstemmed | On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study |
| title_short | On How Crowdsourced Data and Landscape Organisation Metrics Can Facilitate the Mapping of Cultural Ecosystem Services: An Estonian Case Study |
| title_sort | on how crowdsourced data and landscape organisation metrics can facilitate the mapping of cultural ecosystem services an estonian case study |
| topic | cultural ecosystem services automated image recognition natural language processing topic modelling landscape coherence colour harmony |
| url | https://www.mdpi.com/2073-445X/9/5/158 |
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