A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
On how crowdsourced data and landscape organisation metrics can facilitate the mapping of cultural ecosystem services : An Estonian case study
Funding Information: Funding: This research was funded by the European Social Fund’s Dora Plus Programme, the ALTER-Net mobility fund, and the IMAGINE project (ERANET BIODIVERSA 3). The APC was partly funded by the IMAGINE project (ERANET BIODIVERSA 3). Funding Information: This research was funded by the European Social Fund's Dora Plus Programme, the ALTER-Net mobility fund, and the IMAGINE project (ERANET BIODIVERSA 3). The APC was partly funded by the IMAGINE project (ERANET BIODIVERSA 3). This research was supported by the European Social Fund's Dora Plus Programme, ALTER-Net mobility fund, and the IMAGINE project (ERANET BIODIVERSA 3). We credit Olha Kaminska (University of Ghent, Belgium) for the methodological suggestion to use topic modelling, and Ms. Edith Chenault, who provided English proofreading for the manuscript. Publisher Copyright: © 2020 by the authors. ; 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 fromlocation-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. ; Peer reviewed
On how crowdsourced data and landscape organisation metrics can facilitate the mapping of cultural ecosystem services : An Estonian case study
Funding Information: Funding: This research was funded by the European Social Fund’s Dora Plus Programme, the ALTER-Net mobility fund, and the IMAGINE project (ERANET BIODIVERSA 3). The APC was partly funded by the IMAGINE project (ERANET BIODIVERSA 3). Funding Information: This research was funded by the European Social Fund's Dora Plus Programme, the ALTER-Net mobility fund, and the IMAGINE project (ERANET BIODIVERSA 3). The APC was partly funded by the IMAGINE project (ERANET BIODIVERSA 3). This research was supported by the European Social Fund's Dora Plus Programme, ALTER-Net mobility fund, and the IMAGINE project (ERANET BIODIVERSA 3). We credit Olha Kaminska (University of Ghent, Belgium) for the methodological suggestion to use topic modelling, and Ms. Edith Chenault, who provided English proofreading for the manuscript. Publisher Copyright: © 2020 by the authors. ; 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 fromlocation-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. ; Peer reviewed
On how crowdsourced data and landscape organisation metrics can facilitate the mapping of cultural ecosystem services : An Estonian case study
Karasov, Oleksandr (author) / Heremans, Stien (author) / Külvik, Mart (author) / Domnich, Artem (author) / Chervanyov, Igor (author) / Department of Geosciences and Geography
2020-05-01
Article (Journal)
Electronic Resource
English
DDC:
710
Using Crowdsourced imagery to detect cultural ecosystem services: A case study in South Wales, UK
| BASE | 2016
| DOAJ | 2020
Recording Manifestations of Cultural Ecosystem Services in the Landscape
| British Library Online Contents | 2013
Recording Manifestations of Cultural Ecosystem Services in the Landscape
| Taylor & Francis Verlag | 2013