ALPMON FINAL REPORT - ARC systems research

Contract ENV4-CT96-0359 ALPMON
layers according to the needs for analysis. One of the most important GIS layers implemented into the
ALPMON database is the forest management map. The forest management plan including the
statistics data base (German: Forstbetriebsbücher) is connected to this map. Information about stands,
age, crown closure, function of the forest stand, treatment, etc. are important hints for the development
of knowledge based classification rules and for the verification too.
The result of GIS data accuracy study showed error sources of technical and/or fundamental nature
which directly influence the accuracy of parameter estimation. The technical error sources are
connected to data conversion from one format to another as well as to different result output from
different software packages. The fundamental problems are connected to the accuracy of topographic
base data as well as of the forest management maps which show errors of 40 m and more. For pixel
based GIS-analysis as developed in the frame of ALPMON, the geometric accuracy of different
thematic layers is a basic request. Each mismatch leads to erroneous parameter determination and as
follow on effect, to erroneous criteria estimation. In an automated procedure this may lead to
conclusions which do not match the real situation. Especially knowledge based advanced evaluation
procedures applied on high resolution remote sensing data of the future generation of Earth
observation systems may be severely affected by such error sources.
Data layers and data bases created in the frame of ALPMON
In addition to the already implemented data layers of the administrative level the following data layers
have been created and are available as output of the ALPMON investigations.
Aerial photograph interpretation:
� pass-points data set for geo-rectification of new aerial photograph series
� stereo models for the aerial photograph series from 1960 (B&W), 1994 (B&W) and 1997 (CIR)
� pass-points data set for satellite data geocoding
� training and verification area selection (250 selected, 172 considered)
� statistics of training and verification areas
� detailed change detection data between 1960 and 1994 in a sub-test site
Satellite data
Satellite data have been evaluated according to the requirements of the customer Alpine Convention,
Corine land cover and the application customer Bavarian State Office of Water Resource
Management.
� Radiometric corrected, geocoded data sets of the Mangfall test site :
� Landsat TM, 13 th of August 1985
� Landsat TM 09 th of August 1992
� Landsat TM 28 th of June 1994)
� Landsat TM 03 rd of May 1997
� IRS 1C, 07 th of February 1997 LISS
� IRS 1C, 07 th of June 1997 LISS
� IRS 1C,11 th of September 1997 LISS
� IRS 1C, 05 th of October 1997, LISS, PAN
� ADEOS data set from 7 th of May 1997
� Land cover / land use classification according to the customers
� Simulation of grid sizes 75, 200, 277,312, 416, 500, 625 and 833 m
GIS data
GIS data evaluations have been restricted on the core test area Spitzingsee. In addition and on base of
the ready to use GIS layers from the Bavarian State Cadestral Office a series of other application
relevant data layers have been created as follows:
� The official DEM of the Bavarian State Cadestral Office has been used to derive the following data
layers:
� Map of slope classes
� Map of elevation classes
� Map of exposure classes
JR, RSDE, ALU, LMU, Seibersdorf, WSL 35