The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 34, Part XXX
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia
2.2 Classification systems
The classification system was developed based on what is
possible to interpret from an aerial image and the needed of
indicators describing the changes in the agricultural landscape.
The classification for area is built up hierarchically with three
levels for land type classes.
A Agricultural land
Al Fields of annual agricultural
plants, and cultivated meadows
A2 Horticultural land
A3 Pasture
A4 Pasture and hay meadows
apparently no longer in use
B Natural bare
ground
B1 Bare rocks, boulders and scree
B2 Gravel, sand, earth and peat
T Permantent
unforested dry-land
vegetation
F1 Semi-natural grassland
F2 Heaths and ridges
F3 Maritim vegetation
F4 Cleared forest
F5 Outfield pasture
M Natural,
unforested wetland
vegetation
M1 Mire and other freshwater
wetlands
2 Salt and brackish wetlands
S Forest and three-
covered land
S1 Deciduous forest
S2 Mixed forest
S3 Coniferous forest
U Built-up areas
UI Transport
U2 Buildings
U3 Storage areas, dumps and
rubbish tips
U4 Urban greenways, sport and
recreation areas
U5 Other built-up areas
V Water, snow and
ice
V1 Freshwater
V2 Snow and ice
V3 Saltwater and brackish water
Table 1. Classification system for land type classes for the
Norwegian land use / land cover monitoring program.
Interpreted lines are: path, stone wall, fence, line of trees, line
of bushes, vegetation line, ditch / canal, stream and high tens-
ion cable.
Interpreted points are: pile of stones, boulder, solitary tree, post
in field, pylon, building, ruin and fish racks.
Some of these are indicators for biodiversity and some are
indicators for the experience of the landscape.
For the accessibility we interpret pedestrian zone , path and
road. The size of the square has proved to be too small to tell
the accessibility in the agricultural landscape, but the changes
can be measured and inaccessible areas are visible.
2.3 Software systems
For the interpretation Summit software with a Planar mirror
stereo view system is used. MicroStation is used for mapping.
The data is converted into sosi-files (the Norwegian standard
for vector data) and these sosi-files are checked for errors.
Further quality check, storage and analyses of the data are now
being carried out with the open source software PostgreSQL
and PostGIS.
2.4 Field control
1096 of the squares are visited in the field and are used to verify
the interpretation. The program are now in the second inventory
cycle. The operator's interpretation has improveddue to several
reasons: the photos are better, the skills of the interpreter have
improved and the operators easier understand what they see on
the ground when they can compare two photos with different
dates. They see and understand the development of the area
better (Engan, 2012).
Second First
recording recording
Al Annual
A2 Horticultural land
A3 Pasture
A4 Pasture and hay meadows
no in use
B1 Bare Scree
B2 Grave
F1 Semi-natural
F2 Heaths and ri
F3 Seashore
F4 Cleared forest
F5 Outfield
M1 Mire, freshwater wetlands
S1 Decidous forest
S2 Mixed forest
S3 Coniferous forest
ULT 75
U2 Buildi 89
U3S rubbish ti 43
U4 Urban greenways, sport-,
recreation areas 79,7
U5 Other built-up areas
V1 Freshwater 91
V3 Salt- and brackish water 99 99
Table 2: Results from field control for first and second
inventory cycle.
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