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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
sediment control and flood protection measures existing in the
site. Excluding gabions, ditches, installed mainly for irrigation
purposes, are seen at the site. The completely/partially damaged
gabions and ditches at the site display the impacts of flood
events occurring in the monsoon.
en SA =
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Figure 1. Location of Study Area
2.1 Geomorphometric Parameters and Land Use/Land
Cover Classification
In this study 1988 dated Landsat 5 TM and three Landsat 7 TM
images taken 1999, 2000 and 2003 were used to investigate
landuse/land cover changes in the study area. The images were
geo-referenced and ortho-rectified, using topographic map,
aerial photograph and field observations. A hierarchical
classification of four Landuse/land cover classes within the
watershed was performed by unsupervised multitemporal
classification by means of the ISODATA (Iterative Self
Organizing Data Analysis Technique) algorithm in Erdas
Imaging 8.4 environment. ISODATA, a clustering method,
classify pixels iteratively, redefine the criteria for each class,
and classifies again, so that the spectral distance pattern in the
data gradually emerge. The convergence threshold was set as
0.95 pixels and the number of iteration was 24. Four land cover
types, class 1: mix of cultivated land and settlements; class 2:
mix of sparse forest, vegetable farms and settlements; class 3:
mix of flood plains, eroded and depleted lands; and class 4:
dense forest, were classified. Where, classes 1, 2, 3 and 4 will
be refer as cultivation land, sparse forest, floodplains/eroded
lands and dense forest, respectively. An example of image
classification for the year 2003 is given in Figure 2. :
565
ENSE Cultivation lands
Sparse forests
Floodsplains
Dense forests
2 Kilometers
Figure 2. Classification Results of Image taken in 2003
Digital data for deriving geomorphometric parameters: drainage
area, stream length, altitude difference, numbers of streams,
drainage density and bifurcation ratio, were prepared from
topographical map of scale 1:25,000 (Figure 3). Sub-watersheds
were delineated on the topographical map according to Strahler
branch ordering method. Delineated topographical map was
then scanned, digitized and produced DXF (Digital Exchange)
files by AutoCAD 2000 software, and performed spatial
analysis in ArcView 3.1 desktop environment. For the
generation of DEM, contour lines were scanned from 1:25,000
scale topographical map having contour interval of 20 m.
Altitude differences, watershed areas and stream lengths within
the watersheds were measured directly from the topographic
map. Digital planimeter (X-PLAN 360) was used for area and
stream length measurement. Areas of the watershed were also
calculated form the GIS software (ArcView). The difference in
values obtained from manual and automated measurements are
shown in Table 1. The total difference in whole Thadokhola
watershed is approx. 0.10 km?, whereas, total differences in first,
second and third watersheds are 0.03, 0.07 and 0.11 km?
respectively. Here, all the geomorphometric parameters:
watershed area, stream frequency and drainage density those
implicated in watershed areas, were calculated from the
automated values.
The difference values in these two measurements are
considered due to the errors exerted during. These are; re-
delineation, re-alignment and re-arrangement of watersheds
while interpreting and digitizing into the AutoCAD and
ArcView environment and errors governed by the thickness of
watershed boundaries drawn on topographic map (watershed
boundaries were delineated by 0.3 to 0.5 mm ball pens). From
this, it could be mentioned that doing spatial measurement on
map, especially in measuring comparatively small watershed
area of less than 1 km? (1:25,000 scale of standard topographic
map) needs very fine and precise workmanship. High
possibilities of occurring human errors, difficulties in re-