Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote Sensing
Water resources are becoming scarce due to climate change and anthropogenic activities, necessitating immediate action. The first step in conserving our water supplies is to manage them mindfully and sustainably. To achieve this, water sources must be monitored, mapped, and evaluated regularly. Upda...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-03-01
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| Series: | Environmental Sciences Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4931/25/1/52 |
| _version_ | 1797594864786866176 |
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| author | Mervegul Aykanat Atay Gordana Kaplan |
| author_facet | Mervegul Aykanat Atay Gordana Kaplan |
| author_sort | Mervegul Aykanat Atay |
| collection | DOAJ |
| description | Water resources are becoming scarce due to climate change and anthropogenic activities, necessitating immediate action. The first step in conserving our water supplies is to manage them mindfully and sustainably. To achieve this, water sources must be monitored, mapped, and evaluated regularly. Updating national water maps using conventional methods can be a challenging task. Most of the obstacles have been addressed due to recent breakthroughs in the remote sensing field. In this study, we employed remote sensing data integrated into Google Earth Engine (GEE) to develop an application for mapping Turkey’s national inland water bodies. To achieve this aim, we explored the recently developed Multi-Band Water Index (MBWI) in GEE using Sentinel-2 satellite imagery and then applied it throughout the research area. The results showed that GEE is a promising application for handling large amounts of satellite data and can accurately extract water bodies on a national scale. The results of this study could be helpful for various administrative applications that require up-to-date water information. The developed application can be used for different study areas and for spatiotemporal analysis. |
| first_indexed | 2024-03-11T02:29:41Z |
| format | Article |
| id | doaj.art-62b800ad64f5417c8aedf0030ba09560 |
| institution | Directory Open Access Journal |
| issn | 2673-4931 |
| language | English |
| last_indexed | 2024-03-11T02:29:41Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Environmental Sciences Proceedings |
| spelling | doaj.art-62b800ad64f5417c8aedf0030ba095602023-11-18T10:19:41ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-03-012515210.3390/ECWS-7-14171Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote SensingMervegul Aykanat Atay0Gordana Kaplan1Institute of Graduate School, Eskisehir Technical University, Eskisehir 26555, TurkeyInstitute of Earth and Space Sciences, Eskisehir Technical University, Eskisehir 26555, TurkeyWater resources are becoming scarce due to climate change and anthropogenic activities, necessitating immediate action. The first step in conserving our water supplies is to manage them mindfully and sustainably. To achieve this, water sources must be monitored, mapped, and evaluated regularly. Updating national water maps using conventional methods can be a challenging task. Most of the obstacles have been addressed due to recent breakthroughs in the remote sensing field. In this study, we employed remote sensing data integrated into Google Earth Engine (GEE) to develop an application for mapping Turkey’s national inland water bodies. To achieve this aim, we explored the recently developed Multi-Band Water Index (MBWI) in GEE using Sentinel-2 satellite imagery and then applied it throughout the research area. The results showed that GEE is a promising application for handling large amounts of satellite data and can accurately extract water bodies on a national scale. The results of this study could be helpful for various administrative applications that require up-to-date water information. The developed application can be used for different study areas and for spatiotemporal analysis.https://www.mdpi.com/2673-4931/25/1/52remote sensingwaterGoogle Earth Enginemapping |
| spellingShingle | Mervegul Aykanat Atay Gordana Kaplan Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote Sensing Environmental Sciences Proceedings remote sensing water Google Earth Engine mapping |
| title | Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote Sensing |
| title_full | Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote Sensing |
| title_fullStr | Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote Sensing |
| title_full_unstemmed | Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote Sensing |
| title_short | Large-Scale Mapping of Inland Waters with Google Earth Engine Using Remote Sensing |
| title_sort | large scale mapping of inland waters with google earth engine using remote sensing |
| topic | remote sensing water Google Earth Engine mapping |
| url | https://www.mdpi.com/2673-4931/25/1/52 |
| work_keys_str_mv | AT mervegulaykanatatay largescalemappingofinlandwaterswithgoogleearthengineusingremotesensing AT gordanakaplan largescalemappingofinlandwaterswithgoogleearthengineusingremotesensing |