Thu Apr 10, F. Flechtner
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Seo, J. Y. and Lee, S. -I., 2015. Multi-Platform Satellite Based Estimates of Runoff in Ungauged Areas. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL24:61–62, doi:10.5194/isprsarchives-XL-2-W4-61-2015.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2015ISPArXL24...61S,
author = {{Seo}, J.~Y. and {Lee}, S. -I.},
title = "{Multi-Platform Satellite Based Estimates of Runoff in Ungauged Areas}",
journal = {ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
year = 2015,
month = oct,
volume = {XL24},
pages = {61-62},
abstract = "{Over the past decades, extreme weather events such as floods and
droughts have been on a steady increase. Especially, ungauged or
hard-to-reach areas turn out to be the most affected areas by
the unexpected water-related disasters. It is usually due to
insufficient observation data, and deterioration of infra-
structures as well as inadequate water management system. For
such reasons, reliable estimation of runoff is important for the
planning and the implementation of water projects in ungauged
areas. North Korea, whose terrain is mostly hilly and
mountainous, has become vulnerable to floods and droughts due to
poor watershed management based on unreliable hydrological
information along with rapid deforestation. Runoff estimation
using data from multi-platform satellites having broad spatio-
temporal coverage could be of a valuable substitute for ground-
observed measurements. In this study, monthly runoff in North
Korea (38{\textdegree}N - 43{\textdegree}N, 124{\textdegree}E -
131{\textdegree}E) was estimated by combining space-borne data
from multi-platform satellites with ground observations. Period
of analysis is from January 2003 to December 2013. Data sets
used for this study are as in the following: \{1\} Terrestrial
Water Storage Anomaly (TWSA) from Gravity Recovery and Climate
Experiment (GRACE), (2) Evapotranspiration from Moderate
Resolution Imaging Spectroradiometer (MODIS), (3) Satellite-
observed precipitation from Tropical Rainfall Measurement
Mission (TRMM), and (4) Ground-observed precipitation from World
Meterological Organization (WMO) (see Figure 1 and Table 1).
These components are balanced with the terrestrial water storage
change, and runoff can be estimated from eq. (1).}",
doi = {10.5194/isprsarchives-XL-2-W4-61-2015},
adsurl = {https://ui.adsabs.harvard.edu/abs/2015ISPArXL24...61S},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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