1. WELCOME
Term
Paper
presentation
Date:
23 May, 2023

2. About
Site suitability analysis for afforestation
Presenter:
Binita Khadka, Roll no. 05
Sandesh Ghimire, Roll no. 32
Yugesh Bhandari, Roll no. 41
Sonali Singh Patel, Roll no.
Saroj Ballav Bhattrai, Roll no. 33
M.Sc. Forestry, Third semester
Agriculture and Forestry
University
Faculty of Forestry

3. Introduction
Literature
Review
Study area:
Udayapur district, Koshi province,
Nepal
Plantation species considered:
• Dalbergia sissoo
Parameters Used for suitabilitity
mapping for afforestation:
• Elevation
• Landuse
• Aspect
• Slope

4. Introduction
Literature
Review
Methodology Used:
1. Data Collection
• Elevation
• Landuse
• Aspect
• Slope
2. Classification of Dataset
available
3. Overlaying the layers
4. Final output

5. Literature
Review
Discussion

6. Data
inputs
Discussion
The layer of the study area
was obtained from the
official website of DoS.
The dissolve feature from
geoprocessing tab was used
to dissolve the local level
boundary.

7. Data
inputs
Discussion
DATA Download: USGS Earth Explorer
Data used: SRTM DEM, Resolution: 30*30m

8. Discussion
The three
layers of
DEM data
were
required to
cover the
study area.
The
properties
of the dem
used was
viewed.

9. Literature
Review
Discussion
The
command
“Mosaic to
New Raster
is used from
the pathway:
>Arctoolbox
>Data
Management
tools
> Raster
>Mosaic
dataset
>Mosaic to
new raster data

10. Literature
Review
Discussion
The new shapefile with the greater extent to encompass the study area was created to make
the clipping process of rasters more accurate, undisturbed with that of pixel size.

11. Literature
Review
Discussion
Project Raster to the respective Coordinate System: WGS 1984/UTM45N
Clipping extent

12. Literature
Review
Discussion
The second input parameter beside elevation was aspect, that was generated from the dem.

13. Literature
Review
Discussion
The third input parameter: Slope was also
generated from the dem.

14. Literature
Review
Discussion
While, the fourth
parameter: Landuse
data was derived
from the NLCMS
data, 2019 provided
by ICIMOD, RDS
(https://rds.icimod.o
rg/).

15. Literature
Review
Discussion

16. Discussion
The reclassification
of elevation data
was based on the
JK Jackson, 1994
literature, Manual
of afforestation
volume 2- which
mentions that the
elevation range of
Dalbergia sissoo is
upto 1500 m.
The reclassification
is made
accordingly.

17. Discussion
The
reclassificatio
n of slope data
is made in 4
classes as:

18. Discussion
The
reclassification of
aspect data is
made in 4 classes
as:
Flat, South,
South west and
West considered
to be suitable
site,
Southeast
considered
moderately
suitable,
East and
Northeast
considered less
suitable,
North considered
non suitable.

19. Discussion
The
reclassification of
landcover data is
made in 4 classes
as:
Riverbed and
bare soil
considered to be
suitable site,
Cropland,
Grassland and
OWL moderately
suitable,
Forest considered
less suitable,
Water and builtup
considered non
suitable.

20. Literature
Review
Discussion

21. Discussion
• The weighted
overlay tool
was run for all
the classified
layers with
following
weightage:

22. Literature
Review
Discussion

23. Discussion
• The
overlayed
raster was
converted
to polygon
or vector
to make an
efficient
cropping
along the
boarders.

24. Discussion
• After the raster dataset is converted to vector, the clip tool is run to the exact study area.

25. Discussion
The clipped suitability layer:

26. Discussion
• The clipped dataset was run to dissolve the gridcode to have an accumulated grid code
feature in the attribute table,.

27. Discussion
• The
symbology
for the
suitability
layer is
changed in
accordance
to the
gridcode an
the label is
done
accordingly.

28. Discussion

29. Design and Instruments:
Conclusion
References
Conclusion
References
Conclusion
References S.N Site AREA (ha.)
1 Suitable 21338 9.30%
2 Moderately suitable 140887.3 61.37%
3 Less suitable 64878.4 28.26%
4 Non suitable 2448.4 1.07%
229552.1 100%
Total

30. about
Any queries?
Suggestions and
Feedbacks are
heartedly welcome
Thank
You