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of the adjacent glaciers, (d) impact on downstream areas. Each of those
groups consists of several variables. Table 14.2 gives an overview of these
variables and their applicability using remote sensing.
Table 14.2. Key factors contributing to the hazard risk of a glacial lake and its investigation
using remote sensing data (Bolch et al. 2011a).
Characteristics
group
Factor
Remote sensing data source
and applicable techniques
Suitable for
automatization
Lake
characteristics
Lake area and volume
Detection using multi-temporal
multi-spectral (MS) satellite
data
Ye s
Rate of lake formation
and growth
Change detection using multi-
temporal (MT) and MS satellite
data
Ye s
Glacier
characteristics
Fluctuations of the
glacier
Investigation of area and
volume change of the glacier
based on MS and MT satellite
data, MT digital terrain models
(DTMs)
Ye s
Activity of the glacier
Derive glacier velocity using
feature tracking or DInSAR
based on MT optical or radar
data
Ye s
Geomorphometric
characteristics of the
glacier
Geomorphometric DTM
analysis, slope classifi cation
Ye s
Characteristics
of the lake
surrounding
Freeboard between lake
and crest of moraine
ridge
Geomorphometric DTM
analysis
Partly
Width and height of the
moraine dam
Geomorphometric DTM
analysis
Partly
Stability of the moraine
dam/presence of dead
ice in the moraine dam
Investigation of surface
deformation based on MT DTM
analysis, permafrost modeling
Partly
Possibility of mass
movements into the
lakes
Mapping of ice cover and
geology using MS data,
Geomorphometric DTM
analysis of the surrounding
catchment areas
Ye s
Impact of
an GLOF
todownstream
areas
Affected Area
Flow modeling
Yes
Infrastucture down-
valley
Detection of human
infrastructure based on MS
satellite data analysis
Partly
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