Modeling Degraded Land Area in Province of Bangka Belitung Islands Based on Remote Sensing and Ecosystem Service to Support Sustainable Tourism

Fahrudin; Therissia Hati; Elin Herlina; Ketut Wikantika; Zuzy Anna; Anjar Dimara Sakti

doi:10.2991/978-94-6463-086-2_103

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Modeling Degraded Land Area in Province of Bangka Belitung Islands Based on Remote Sensing and Ecosystem Service to Support Sustainable Tourism

Authors

Fahrudin¹^{, 5}^{, *}, Therissia Hati⁴, Elin Herlina⁵, Ketut Wikantika², Zuzy Anna³, Anjar Dimara Sakti²

¹Doctoral Program of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Jl. Ganesha, 10, Bandung, 40132, Jawa Barat, Indonesia

²Department of Geodesy and Geomatics Engineering, Faculty of Earth Sciences and Technology, Institut Teknologi Bandung, Jl. Ganesha, 10, Bandung, 40132, Jawa Barat, Indonesia

³SDGs Center, Universitas Padjadjaran, Bandung, Indonesia

⁴Agriculture and Food Service, Belitung Timur Regency – Indonesia, Kepulauan Bangka Belitung, Indonesia

⁵Public works and Spatial Planning Service, Belitung Timur Regency – Indonesia, Kepulauan Bangka Belitung, Indonesia

^*Corresponding author. Email: fahrudinmanggar@gmail.com

Corresponding Author

Fahrudin

Available Online 28 December 2022.

DOI: 10.2991/978-94-6463-086-2_103 How to use a DOI?
Keywords: Modeling; Land degradation; Bangka Belitung; Sustainable tourism; Remote sensing; Ecosystem services
ABSTRACT: The Province of the Bangka Belitung Islands (Babel) has a unique natural beauty that supports sustainable tourism. Sustainable tourism is highly dependent on terrestrial ecosystems. Due to mining activities, the terrestrial ecosystem in Bangka Belitung can experience land degradation which is characterized by reduced land productivity, reduced land cover, and reduced soil carbon. Therefore, degraded terrestrial ecosystems need to be modelled to gain knowledge to support wisdom for sustainable tourism. This study aims to model degraded land by integrating remote sensing and ecosystem services based on the DIKW paradigm. Remote sensing data used are NDVI (MOD13Q1-coll6), land cover (ESA CCI), soil moisture (MERRA 2), rainfall (CHRIPS), evapotranspiration (MOD16A2), soil taxonomic unit (SoilGrids-USDA). Ecosystem services used are ecosystem services that regulate land productivity, provide forest and land cover, and provide soil carbon. These parameters will be synthesized for obtaining the proportion of degraded land to the total land of the study area based on Trends.Earth-Google Earth Engine. The results of the study will be evaluated using remote sensing data such as night-time lights, forest, and oil palm cover. This research is useful to support tourism in Babel Province which pays attention to sustainable life on land SDGs 15.3 Indonesia.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
Series: Advances in Biological Sciences Research
Publication Date: 28 December 2022
ISBN: 10.2991/978-94-6463-086-2_103
ISSN: 2468-5747
DOI: 10.2991/978-94-6463-086-2_103 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Fahrudin
AU  - Therissia Hati
AU  - Elin Herlina
AU  - Ketut Wikantika
AU  - Zuzy Anna
AU  - Anjar Dimara Sakti
PY  - 2022
DA  - 2022/12/28
TI  - Modeling Degraded Land Area in Province of Bangka Belitung Islands Based on Remote Sensing and Ecosystem Service to Support Sustainable Tourism
BT  - Proceedings of the International Conference on Sustainable Environment, Agriculture and Tourism (ICOSEAT 2022)
PB  - Atlantis Press
SP  - 785
EP  - 792
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-086-2_103
DO  - 10.2991/978-94-6463-086-2_103
ID  - 2022
ER  -

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