Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube
Mapping waterbodies variations through time is only possible thanks to the use of in-situ hydrometric sensors or remotely sensed data. Few areas around the world count with a functional in-situ sensor’s network, but all areas can be observed with satellite imagery. Several previous studies have mapp...
- Autores:
-
Peppa, Maria Valasia
Solano-Correa, Yady Tatiana
Mills, Jon P.
Haile, A.T.
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/12737
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/12737
- Palabra clave:
- Digital Earth Africa
Open Data Cube
remote sensing
Sentinel-1 and 2
Ethiopia
LEMB
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube |
| title |
Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube |
| spellingShingle |
Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube Digital Earth Africa Open Data Cube remote sensing Sentinel-1 and 2 Ethiopia LEMB |
| title_short |
Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube |
| title_full |
Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube |
| title_fullStr |
Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube |
| title_full_unstemmed |
Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube |
| title_sort |
Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube |
| dc.creator.fl_str_mv |
Peppa, Maria Valasia Solano-Correa, Yady Tatiana Mills, Jon P. Haile, A.T. |
| dc.contributor.author.none.fl_str_mv |
Peppa, Maria Valasia Solano-Correa, Yady Tatiana Mills, Jon P. Haile, A.T. |
| dc.subject.keywords.spa.fl_str_mv |
Digital Earth Africa Open Data Cube remote sensing Sentinel-1 and 2 Ethiopia |
| topic |
Digital Earth Africa Open Data Cube remote sensing Sentinel-1 and 2 Ethiopia LEMB |
| dc.subject.armarc.none.fl_str_mv |
LEMB |
| description |
Mapping waterbodies variations through time is only possible thanks to the use of in-situ hydrometric sensors or remotely sensed data. Few areas around the world count with a functional in-situ sensor’s network, but all areas can be observed with satellite imagery. Several previous studies have mapped waterbodies by means of optical satellite imagery. Combining both optical and radar data is an alternative to avoid high cloud coverage or low data availability. This work presents a workflow for mapping waterbodies variations of lakes, spatially and temporally, located in the Central Rift Valley, Ethiopia by considering Landsat-based analysis-ready data alongside Sentinel-1/2 imagery, and comparing automatic thresholding methods. The workflow is simple, yet effective, and makes use of the Digital Earth Africa Open Data Cube, for the very first time in Ethiopia to accelerate time-series processing with the potential to extend this analysis to a national scale, addressing water security challenges. |
| publishDate |
2023 |
| dc.date.issued.none.fl_str_mv |
2023-10-20 |
| dc.date.accessioned.none.fl_str_mv |
2024-09-12T14:05:03Z |
| dc.date.available.none.fl_str_mv |
2024-09-12T14:05:03Z |
| dc.date.submitted.none.fl_str_mv |
2024-09-11 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_c94f |
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publishedVersion |
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M. V. Peppa; Y. T. Solano-Correa; J. P. Mills; A. T. Haile, "Rapid mapping of waterbody variations in the central rift valley, Ethiopia, using the digital Earth Africa open data cube," in 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, United States of America, Jul. 2023. DOI: 10.1109/IGARSS52108.2023.10282717. |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/12737 |
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10.1109/IGARSS52108.2023.10282717 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
M. V. Peppa; Y. T. Solano-Correa; J. P. Mills; A. T. Haile, "Rapid mapping of waterbody variations in the central rift valley, Ethiopia, using the digital Earth Africa open data cube," in 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, United States of America, Jul. 2023. DOI: 10.1109/IGARSS52108.2023.10282717. 10.1109/IGARSS52108.2023.10282717 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
| url |
https://hdl.handle.net/20.500.12585/12737 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
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http://purl.org/coar/access_right/c_14cb |
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info:eu-repo/semantics/closedAccess |
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closedAccess |
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4 páginas |
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application/pdf |
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Cartagena de Indias |
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Ciencias Básicas |
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
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Peppa, Maria Valasiaf461b8f5-c60d-4610-8321-bab08bbe56deSolano-Correa, Yady Tatiana64432ee7-11fa-4bfb-b643-143125ef82c1Mills, Jon P.d91c97e2-efd8-43ae-b986-28307e9a3774Haile, A.T.fa421368-651b-4ca5-bb95-a55f2fc34c042024-09-12T14:05:03Z2024-09-12T14:05:03Z2023-10-202024-09-11M. V. Peppa; Y. T. Solano-Correa; J. P. Mills; A. T. Haile, "Rapid mapping of waterbody variations in the central rift valley, Ethiopia, using the digital Earth Africa open data cube," in 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, United States of America, Jul. 2023. DOI: 10.1109/IGARSS52108.2023.10282717.https://hdl.handle.net/20.500.12585/1273710.1109/IGARSS52108.2023.10282717Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarMapping waterbodies variations through time is only possible thanks to the use of in-situ hydrometric sensors or remotely sensed data. Few areas around the world count with a functional in-situ sensor’s network, but all areas can be observed with satellite imagery. Several previous studies have mapped waterbodies by means of optical satellite imagery. Combining both optical and radar data is an alternative to avoid high cloud coverage or low data availability. This work presents a workflow for mapping waterbodies variations of lakes, spatially and temporally, located in the Central Rift Valley, Ethiopia by considering Landsat-based analysis-ready data alongside Sentinel-1/2 imagery, and comparing automatic thresholding methods. The workflow is simple, yet effective, and makes use of the Digital Earth Africa Open Data Cube, for the very first time in Ethiopia to accelerate time-series processing with the potential to extend this analysis to a national scale, addressing water security challenges.4 páginasapplication/pdfengIEEE International Geoscience and Remote Sensing Symposium (IGARSS)Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cubeinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_c94fhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Digital Earth AfricaOpen Data Cuberemote sensingSentinel-1 and 2EthiopiaLEMBinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCartagena de IndiasCiencias BásicasT. Donauer, A. T. Haile, D. W. Goshime, T. Siegfried, and S. Ragettli, "Gap and opportunity analysis of hydrological monitoring in the ziway-shala sub-basin, Ethiopia," IWMI Working Papers, 2020, pp. IWMI-1-IWMI-33.W. Asfaw, A. T. Haile, and T. Rientjes, “Combining multisource satellite data to estimate storage variation of a lake in the Rift Valley Basin, Ethiopia,” International Journal of Applied Earth Observation and Geoinformation, vol. 89, pp. 102095, 2020.W. M. Seyoum, A. M. Milewski, and M. C. Durham, “Understanding the relative impacts of natural processes and human activities on the hydrology of the Central Rift Valley lakes, East Africa,” Hydrological Processes, vol. 29, no. 19, pp. 4312- 4324, 2015.H. Desta, and B. Lemma, “SWAT based hydrological assessment and characterization of Lake Ziway sub-watersheds, Ethiopia,” Journal of Hydrology: Regional Studies, vol. 13, pp. 122-137, 2017.D. T. Meshesha, A. Tsunekawa, and M. Tsubo, “Continuing land degradation: Cause–effect in Ethiopia's Central Rift Valley,” Land Degradation & Development, vol. 23, no. 2, pp. 130-143, 2012.M. Getnet, H. Hengsdijk, and M. van Ittersum, “Disentangling the impacts of climate change, land use change and irrigation on the Central Rift Valley water system of Ethiopia,” Agricultural Water Management, vol. 137, pp. 104-115, 2014/05/01/, 2014.D. Africa. "Digital Earth Africa open Data Cube for accessing imagery via a geoportal and analysing using Sandbox, a Jupyter cloud-computing platform. ," https://www.digitalearthafrica.org/.T. Dhu, B. Dunn, B. Lewis, L. Lymburner, N. Mueller, E. Telfer, A. Lewis, A. McIntyre, S. Minchin, and C. Phillips, “Digital earth Australia – unlocking new value from earth observation data,” Big Earth Data, vol. 1, no. 1-2, pp. 64-74, 2017/12/22, 2017.F. Yuan, M. Repse, A. Leith, A. Rosenqvist, G. Milcinski, N. F. Moghaddam, T. Dhar, C. Burton, L. Hall, C. Jorand, and A. Lewis, “An Operational Analysis Ready Radar Backscatter Dataset for the African Continent,” Remote Sensing, vol. 14, no. 2, 2022, 2022.N. Mueller, A. Lewis, D. Roberts, S. Ring, R. Melrose, J. Sixsmith, L. Lymburner, A. McIntyre, P. Tan, S. Curnow, and A. Ip, “Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia,” Remote Sensing of Environment, vol. 174, pp. 341-352, 2016/03/01/, 2016.WOfS. "Water Observations from Space (WOfS)-Data Catalogue, Digital Earth Africa," https://docs.digitalearthafrica.org/ /en/latest/data_specs/Landsat_WOfS_specs.html.C. E. Krause, V. Newey, M. J. Alger, and L. Lymburner, “Mapping and monitoring the multi-decadal dynamics of australia’s open waterbodies using landsat,” Remote Sensing, vol. 13, no. 8, 2021, 2021.F. Yuan, C. Ticehurst, Z. S. Zhou, E. Lehmann, B. Lewis, A. Rosenqvist, S. Chua, and N. Mueller, "Water Mapping with SAR and Optical Data Cube."S. Sagar, D. Roberts, B. Bala, and L. Lymburner, “Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations,” Remote Sensing of Environment, vol. 195, pp. 153-169, 2017, 2017.H. C. Jansen, H. Hengsdijk, D. Legesse, T. Ayenew, P. Hellegers, and P. C. Spliethoff, “Land and water resources assessment in the Ethiopian Central Rift Valley : project: ecosystems for water, food and economic development in the Ethiopian Central Rift Valley,” 2007.H. Tian, W. Li, M. Wu, N. Huang, G. Li, X. Li, and Z. Niu, “Dynamic Monitoring of the Largest Freshwater Lake in China Using a New Water Index Derived from High Spatiotemporal Resolution Sentinel-1A Data,” Remote Sensing, vol. 9, no. 6, 2017, 2017.H. Xu, “Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery,” International Journal of Remote Sensing, vol. 27, no. 14, pp. 3025-3033, 2006.C. H. Li, and P. K. S. Tam, “An iterative algorithm for minimum cross entropy thresholding,” Pattern Recognition Letters, vol. 19, no. 8, pp. 771-776, 1998/06/01/, 1998.N. Otsu, “Threshold selection method from gray-level histograms,” IEEE Trans Syst Man Cybern, vol. SMC-9, no. 1, pp. 62-66, 1979.Planet. "Planet Satellite very high-resolution imagery," https://www.planet.com/products/hi-res-monitoring/.C. Funk, P. Peterson, M. Landsfeld, D. Pedreros, J. Verdin, S. Shukla, G. Husak, J. Rowland, L. Harrison, A. Hoell, and J. Michaelsen, “The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes,” Scientific Data, vol. 2, no. 1, pp. 150066, 2015/12/08, 2015.http://purl.org/coar/resource_type/c_c94fORIGINAL2023-C-Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube.pdf2023-C-Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube.pdfapplication/pdf1236710https://repositorio.utb.edu.co/bitstream/20.500.12585/12737/1/2023-C-Rapid%20Mapping%20of%20Waterbody%20Variations%20in%20the%20Central%20Rift%20Valley%2c%20Ethiopia%2c%20Using%20the%20Digital%20Earth%20Africa%20Open%20Data%20Cube.pdf45fe96d51026ee7f68cd1ec5abf795f8MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/12737/2/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD52TEXT2023-C-Rapid Mapping of Waterbody 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