Combining multisource satellite data to estimate storage variation of a lake in the Rift Valley Basin, Ethiopia

Wegayehu Asfaw*, Alemseged Tamiru Haile, T. Rientjes

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

59 Downloads (Pure)

Abstract

Integration of remote sensing data sets from multiple satellites is tested to simulate water storage variation of Lake Ziway, Ethiopia for the period 009-2018. Sixty Landsat ETM+/OLI images served to trace temporal variation of lake surface area using a water extraction index. Time series of lake levels were acquired from two altimetry databases that were validated by in-situ lake level measurements. Coinciding pairs of optical satellite based lake surface area and radar altimetry based lake levels were related through regression and served for simulating lake storage variation. Indices for extracting lake surface area from images showed 91–99 % overall accuracy. Lake water levels from the altimetry products well agreed to in-situ lake level measurements with R2=0.92 and root mean square error of 11.9 cm. Based on this study we conclude that integrating satellite imagery and radar altimetry is a viable approach for frequent and accurate monitoring of lake water volume variation and for long-term change detection. Findings indicate water level reduction (4 cm/annum), surface area shrinkage (0.08km2/annum) and water storage loss (20.4Mm3/annum) of Lake Ziway (2009–2018).
Original languageEnglish
Article number102095
Pages (from-to)1-13
Number of pages13
JournalInternational Journal of Applied Earth Observation and Geoinformation
Volume89
Early online date2 Mar 2020
DOIs
Publication statusPublished - Jul 2020

Keywords

  • ITC-ISI-JOURNAL-ARTICLE
  • ITC-HYBRID

Fingerprint Dive into the research topics of 'Combining multisource satellite data to estimate storage variation of a lake in the Rift Valley Basin, Ethiopia'. Together they form a unique fingerprint.

Cite this