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ALPMON FINAL REPORT - ARC systems research

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Contract ENV4-CT96-0359 <strong>ALPMON</strong><br />

Table 20: Synthesis of the customer evaluation for erosion risk.<br />

Item Strong Points Weak Points<br />

<strong>ALPMON</strong> Land<br />

Cover mapping<br />

from Remote<br />

Sensing<br />

Auxiliary data<br />

acquisition and<br />

harmonisation<br />

(geology,<br />

geomorphology)<br />

� Demonstrates the feasibility of<br />

realisation of an up-to-date land<br />

cover mapping over the whole<br />

regional Alpine area.<br />

� Thematic content and accuracy is<br />

generally compatible with the<br />

fundamental requirements of<br />

erosion risk assessment.<br />

� The implementation of the erosion<br />

risk model has pushed the<br />

acquisition and harmonisation of<br />

auxiliary data until now spread<br />

among several administrations<br />

and very heterogeneous. The<br />

harmonised data will turn out to be<br />

very useful also for other land<br />

planning applications of the<br />

Customer.<br />

� The auxiliary data, once scanned<br />

and georeferenced, have been<br />

delivered to the local<br />

administrations which previously<br />

supplied the original information<br />

on printed format, allowing them to<br />

put the information in their GIS.<br />

Erosion model � The FSTAB model is particularly<br />

interesting for planning purposes<br />

because: 1) it accounts for several<br />

erosion phenomena; 2) unlike<br />

other models, it gives a measure<br />

of the erosion risk instead of the<br />

predicted amount of removed soil.<br />

� The sub-model DA, built over a<br />

statistical analysis of ground<br />

surveys and extrapolated to the<br />

whole test site area using<br />

distributed data (including land<br />

cover) seems a promising<br />

approach to the zoning on the<br />

basis of soil static conditions.<br />

3.3 Technical Project Evaluation<br />

� The geometric resolution of the<br />

employed satellites is not enough<br />

detailed to detect the presence on<br />

the surface of potentially unstable<br />

incoherent materials (e.g. debris<br />

flows). In other words, while the<br />

satellite sensors used in <strong>ALPMON</strong><br />

are suitable for land cover<br />

mapping, they are still not<br />

satisfactory for geomorphological<br />

mapping. Pixel resolution of 1<br />

metre should be required.<br />

� The quantitative verification of a<br />

potential risk index is rather<br />

difficult.<br />

� In displaying the MEHI erosion risk<br />

index, the choice of the right<br />

slicing levels of the index is very<br />

critical for the correct interpretation<br />

of the map.<br />

� The correct choice of the threshold<br />

precipitation event for the submodel<br />

SCS-CN is rather difficult.<br />

In the following the technical aspects of the projects sub-tasks as well as the feasibility studies are<br />

evaluated from the project teams point of view.<br />

JR, RSDE, ALU, LMU, Seibersdorf, WSL 74

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