TY - GEN
T1 - Rapid Mapping of Waterbody Variations in the Central Rift Valley, Ethiopia, Using the Digital Earth Africa Open Data Cube
AU - Peppa, M. V.
AU - Solano-Correa, Y. T.
AU - Mills, J. P.
AU - Haile, A. T.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Digital Earth Africa
KW - Ethiopia
KW - Open Data Cube
KW - remote sensing
KW - Sentinel-1 and 2
UR - https://www.scopus.com/pages/publications/85178387005
UR - https://www.mendeley.com/catalogue/86e2de70-1afa-3d54-8cd2-ab4db806dbf7/
U2 - 10.1109/igarss52108.2023.10282717
DO - 10.1109/igarss52108.2023.10282717
M3 - Conference contribution
AN - SCOPUS:85178387005
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 5359
EP - 5362
BT - IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023
Y2 - 16 July 2023 through 21 July 2023
ER -