Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)

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An Example of Karst Features Identification Using High-Resolution Aerial Photograph for Environmental Management at Pindul Cave Area, Gunung Sewu Karst, Indonesia

Authors
Hendy Fatchurohman1, *, Ahmad Cahyadi2, Tjahyo Nugroho Adji2, Indra Agus Riyanto1, 2, 3
1Department of Earth Technology, Vocational College, Universitas Gadjah Mada, Yogyakarta, Indonesia
2Department of Environmental Geography, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, Indonesia
3Karst Research Group, Faculty of Geography, Universitas Gadjah Mada, Yogyakarta, Indonesia
*Corresponding author. Email: hendy.fatchurohman@ugm.ac.id
Corresponding Author
Hendy Fatchurohman
Available Online 22 May 2023.
DOI
10.2991/978-94-6463-122-7_15How to use a DOI?
Keywords
UAV; Karst; Gunungsewu; DEM
Abstract

Karst area poses distinctive landform features on its surface such as karst hills, cave entrances, sinking streams, and doline. Identification of surface karst features in detail will greatly help understand the hydrogeological system of an area. However, the availability of open-source high-resolution spatial data is scarce. This study aims to identify karst features in the Pindul Cave Karst Area is part of the Gunungsewu Geopark Area using a multirotor unmanned aerial vehicle. Identification of surface karst features solely based on orthomosaic images is challenging. The use of a digital elevation model for more detailed topographic expression is necessary. The digital terrain model is more reliable for karst feature identification compared to the digital surface model. In the small study area, dense vegetation cover often leads to misinterpretation of karst features, while the digital terrain model provides stronger topographic expression.

Copyright
© 2023 The Author(s)
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 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
Series
Advances in Biological Sciences Research
Publication Date
22 May 2023
ISBN
10.2991/978-94-6463-122-7_15
ISSN
2468-5747
DOI
10.2991/978-94-6463-122-7_15How to use a DOI?
Copyright
© 2023 The Author(s)
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

risenwbib
TY  - CONF
AU  - Hendy Fatchurohman
AU  - Ahmad Cahyadi
AU  - Tjahyo Nugroho Adji
AU  - Indra Agus Riyanto
PY  - 2023
DA  - 2023/05/22
TI  - An Example of Karst Features Identification Using High-Resolution Aerial Photograph for Environmental Management at Pindul Cave Area, Gunung Sewu Karst, Indonesia
BT  - Proceedings of the 3rd International Conference on Smart and Innovative Agriculture (ICoSIA 2022)
PB  - Atlantis Press
SP  - 165
EP  - 174
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-122-7_15
DO  - 10.2991/978-94-6463-122-7_15
ID  - Fatchurohman2023
ER  -