TY - JOUR
T1 - Beyond land cover : How integrated remote sensing and social media data analysis facilitates assessment of cultural ecosystem services
AU - Karasov, Oleksandr
AU - Heremans, Stien
AU - Külvik, Mart
AU - Domnich, Artem
AU - Burdun, Iuliia
AU - Kull, Ain
AU - Helm, Aveliina
AU - Uuemaa, Evelyn
N1 - Funding Information:
We are grateful to Dr Edith Chenault for the English proofreading of the manuscript.The Google Earth Engine code scripts for retrieval of remote sensing data, SAHM VisTrails workflow file, and code files for the environmental niche modelling are available via the GitHub repository: https://github.com/oleksandrkarasov/ES_2021
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2022/2
Y1 - 2022/2
N2 - Coupled usage of remote sensing and geotagged social media data responds to the growing interest in the spatially explicit operationalisation of cultural ecosystem services (CES). However, synergies of integrated usage of these data sources have not yet been unveiled to improve CES accessibility. This study aimed at applying the integrated remote sensing-social media framework to analyse the suitability of landscape pattern for CES use and explore CES availability in Estonia. We first spatially analysed the demand for selected CES—landscape watching, outdoor recreation, and wildlife watching—depicted in geotagged photographs. Second, we modelled CES supply as relative environmental suitability for the presence of CES related photographs, performing a proxy to the potential capacity of landscapes to provide opportunities for CES use. Third, we estimated the population density in spatial clusters of relatively low and high CES supply. We revealed the discrepancies between population density and accessibility of CES supply and CES providing areas within this integrative framework. As a result, we detected populated areas requiring in-depth CES assessment and prioritisation to restore, preserve, and, where necessary, enhance CES stocks. Our replicable and spatially explicit methodology improves rapid CES assessment across scales, given the nearly global character of remote sensing and social media data.
AB - Coupled usage of remote sensing and geotagged social media data responds to the growing interest in the spatially explicit operationalisation of cultural ecosystem services (CES). However, synergies of integrated usage of these data sources have not yet been unveiled to improve CES accessibility. This study aimed at applying the integrated remote sensing-social media framework to analyse the suitability of landscape pattern for CES use and explore CES availability in Estonia. We first spatially analysed the demand for selected CES—landscape watching, outdoor recreation, and wildlife watching—depicted in geotagged photographs. Second, we modelled CES supply as relative environmental suitability for the presence of CES related photographs, performing a proxy to the potential capacity of landscapes to provide opportunities for CES use. Third, we estimated the population density in spatial clusters of relatively low and high CES supply. We revealed the discrepancies between population density and accessibility of CES supply and CES providing areas within this integrative framework. As a result, we detected populated areas requiring in-depth CES assessment and prioritisation to restore, preserve, and, where necessary, enhance CES stocks. Our replicable and spatially explicit methodology improves rapid CES assessment across scales, given the nearly global character of remote sensing and social media data.
KW - Earth observations
KW - Flickr
KW - Landsat 8
KW - Non-material ecosystem services
KW - VK
KW - Vkontakte
UR - http://www.scopus.com/inward/record.url?scp=85120795072&partnerID=8YFLogxK
U2 - 10.1016/j.ecoser.2021.101391
DO - 10.1016/j.ecoser.2021.101391
M3 - Article
AN - SCOPUS:85120795072
SN - 2212-0416
VL - 53
JO - Ecosystem Services
JF - Ecosystem Services
M1 - 101391
ER -