Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Buma, Willibroad Gabila, Lee, Sang-Il, and Seo, Jae Young, 2018. Recent Surface Water Extent of Lake Chad from Multispectral Sensors and GRACE. Sensors, 18(7):2082, doi:10.3390/s18072082.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2018Senso..18.2082B,
author = {{Buma}, Willibroad Gabila and {Lee}, Sang-Il and {Seo}, Jae Young},
title = "{Recent Surface Water Extent of Lake Chad from Multispectral Sensors and GRACE}",
journal = {Sensors},
keywords = {sensors, spatial analysis, remote sensing, Lake Chad, Landsat, surface water mapping},
year = 2018,
month = jun,
volume = {18},
number = {7},
eid = {2082},
pages = {2082},
abstract = "{Consistent observations of lakes and reservoirs that comprise the
majority of surface freshwater globally are limited, especially
in Africa where water bodies are exposed to unfavorable climatic
conditions and human interactions. Publicly available satellite
imagery has increased the ability to monitor water bodies of
various sizes without much financial hassle. Landsat 7 and 8
images were used in this study to estimate area changes around
Lake Chad. The Automated Water Extraction Index (AWEI),
Normalized Difference Water Index (NDWI), Modified Normalized
Difference Water Index (MNDWI) and Normalized Difference
Vegetation Index (NDVI) were compared for the remote sensing
retrieval process of surface water. Otsu threshold method was
used to separate water from non-water features. With an overall
accuracy of \raisebox{-0.5ex}\textasciitilde96\% and an inter-
rater agreement (kappa coefficient) of 0.91, the MNDWI was a
better indicator for mapping recent area changes in Lake Chad
and was used to estimate the lake's area changes from 2003-2016.
Extracted monthly areas showed an increasing trend and ranged
between \raisebox{-0.5ex}\textasciitilde1242 km$^{2}$ and 2231
km$^{2}$ indicating high variability within the 13-year period,
2003-2016. In addition, we combined Landsat measurements with
Total Water Storage Anomaly (TWSA) data from the Gravity
Recovery and Climate Experiment (GRACE) satellites. This
combination is well matched with our estimated surface area
trends. This work not only demonstrates the importance of remote
sensing in sparsely gauged developing countries, it also
suggests the use of freely available high-quality imagery data
to address existing lake crisis.}",
doi = {10.3390/s18072082},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018Senso..18.2082B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Generated by
bib2html_grace.pl
(written by Patrick Riley
modified for this page by Volker Klemann) on
Mon Oct 13, 2025 16:16:51
GRACE-FO
Mon Oct 13, F. Flechtner