Post on 20-Feb-2023
Polytechnic of Namibia
Transforming into Namibia University of Science and Technology
Department of Geo-Spatial Sciences and Technology
Bachelor of Geo – Information Technology
Course: RES611S– Remote Sensing 2
Proposal for data collection on vegetation structure
and density in Hardap Game Park.
Done by: Anna Penohole Shiweda
213038862
Lecturer: Celeste Espach
Moderator: Daniel Wyss
Table of Contents
1 INTRODUCTION..............................................4
1.1 Background.............................................5
2 LITERATURE REVIEW.........................................6
2.1 Image Preparation......................................6
2.2 Image Classification...................................6
2.2.1 Supervised Classification...........................6
2.2.2 Unsupervised Classification.........................6
3 MATERIALS AND METHODOLOGY.................................7
3.1 Data Sources...........................................7
3.2 Software...............................................7
3.3 Methodology............................................7
3.3.1 Pre-Fieldwork.......................................7
3.3.2 Fieldwork...........................................7
4 EXPECTED OUTCOMES.........................................9
5 CONLUSION AND RECOMMENDATION.............................10
6 REFERENCE LIST...........................................11
Table of Figures
Figure 1.1: Location of Hardap Game Park.....................4
Figure 3.1: Form used for collecting field data concerned with
vegetation density and structure.....................8
1 INTRODUCTION
This whole data will be collected for the Ministry of
Environment and Tourism and used to classify the newest
satellite image of Hardap Game Park, as to have a final land
cover map of the Plateau. This will help the Ministry see the
changes that took place during the last satellite image
production.
Figure 1.1: Location of Hardap Game Park.
1.1 Background
The Hardap Game Park lies along the south of Namibia were it
wraps around the 25 km Hardap Game Reservoir. The reservoir
holds about 320 million cubic metres. The game park is home to
a variety of aquatic birds including white pelican flamingo’s
cormorants African darters spoonbills and the majestic African
fish eagle.
The most common species in the area are the kudus, zebra, red
hartebeest, springbok, gemsbok and steenbok. The 24 bird
species recorded here include the great white pelican, yellow-
billed stork, osprey, Bradfield’s swift and Stark lark. The
park is dominated by the Hardap Dam, the fish and the Groot
Komatsas Rivers. Open savannah with mountainous areas such as
the Gemsbok Plateau.
Hardap stands in the dominant highlands of Namibia, and its
rolling hilly scenery is generally covered in low-growing
bushes and stunted trees. Its river-courses tend to be densely
vegetated; frequently having thick, taller stands of camel
thorn and buffalo thorn trees.
The most fascinating birds to be seen here are often Cape
species, at the northern verge of their kind, like the
cinnamon-breasted warbler, the Karoo eremomela, or the
uncommon Sclater’s lark. Others are Namibian species towards
the southern verge of their kind, like amusing rosy-faced
lovebirds.
Hardap's larger game includes Hartmann's mountain zebra, Oryx,
kudu, springbok and red hartebeest. Cheetahs used to inhabit
here, but they increased and run away on to bordering farms,
so now they have been excluded. This is a classic leopard
country, hilly and thickly bushed – suitable for the dominant
predators, though they are rarely seen. There are no lions,
elephants or buffalos.
A handful of black rhinos were moved to Hardap from Damaraland
in 1990, and they have settled up towards the north of the
park. They were familiarised to the west side of the lake, but
one has been reported as crossing the lake to settle into a
region on the eastern side.
2 LITERATURE REVIEW
Before the starting of the project, different strategies had
to be evaluated to determine the most effective way in
completing the project and obtaining the desired results.
(Information from other sources; secondary information, and
random sampling methods will be used.)
2.1 Image Preparation
Many image processing and analysis techniques have been
developed to aid the interpretation of remote sensing images
and to extract as much information as possible from the
images.
The choice of specific techniques or algorithms to use depends
on the goals of each individual project.
Pre- processing and image enhancement techniques will be used
in this project.
2.2 Image Classification
2.2.1Supervised Classification
In supervised classification, the spectral features of some
areas of known land cover types will be extracted from the
image. These areas are known as the "training areas". Every
pixel in the whole image is then classified as belonging to
one of the classes depending on how close its spectral
features are to the spectral features of the training areas.
2.2.2Unsupervised Classification
Here unsupervised classification, the computer program
automatically groups the pixels in the image into separate
clusters, depending on their spectral features. Each cluster
will then be assigned a land cover type by the analyst.
3 MATERIALS AND METHODOLOGY
3.1 Data Sources
Satellite imagery can be from Land cover Facilities on web
sites. And further processing will basically be done using
software such as MultiSpec version 9.
3.2 Software
Microsoft Access - will be used to create a data sheet for
the map that will be created.
ArcMap - will be used to create the locality map for the
field, as well as compiling professional maps/ coordinate
points based on the findings of rhe project.
Multispec Version 9 - will be used to create the different
supervised and unsupervised land cover types.
3.3 Methodology
3.3.1Pre-Fieldwork
Before the excursion, each group should create a locality
field map for navigation purposes and keeping track of how the
fieldwork is being carried out.
3.3.2Fieldwork
As the six people are dropped at their designated areas, they
will walk a number of km depending on the pick-up point.
During the walk, they should be able to collect points after
every 500m to using Trimble and the handheld GPS.
To collect the data, a group of 6 people will be assigned to
their designated areas each morning with the provision of a
map, Trimble, hand held GPS, field book and a camera. The
Trimble will be used to collect the correct coordinate points
in decimal degrees, while the handheld will collect the
coordinates in degrees, minutes and seconds. Another two
people will also have to be assigned to do the recording in
the field book and one other person to work with the camera.
The post-fieldwork will be done during and at the end of the
project to display the results in a professional and
understandable way.
After the field work is done, the data (including the pictures
that will be downloaded- taken during the field work) will be
used to create a geographical map in GIS. This will be done
using ArcCatalog10.1 and ArcMap10.1.
But before the map is created, data needs to be entered in
Microsoft Excel where it will be exported and converted to a
shape file as this is the only supported format in ArcGIS.
Figure 3.2: Form used for collecting field data concerned withvegetation density and structure.
4 EXPECTED OUTCOMES
One of the essential outcomes is the final report. This report
will contain all maps containing the data that was collected
in the study area. It will also contain all the field work
maps that will be used in the field for navigation.
5 CONLUSION AND RECOMMENDATION
Collecting this type of data is very essential. Not only would
it cater for the Ministry, but the state at large.
The project must successfully result in proper mapping
representations of the findings. At the end the project most
or all of the objectives would’ve been achieved.
For excellent results, people to be used in this excursion
should be able to use the GPS and also read the map correctly
during the actual fieldwork.
6 REFERENCE LIST
Murphy, A., Ham, A., Morgan, K., Holden, T. (2013). Namibia
and Botswana: Travel guide (3rd Edition.). Cape Town,
South Africa.
Namibian Tourism. (2012). Hardap Game Park .Retrieved October
01, 2014, from Hardap Game Reserve Namibia Network:
http://www.namibiatourism.org
Namibian Constitution, a. GRN. (2013). Regional Development
Plan: Hardap Region. (Volume3) of Regional Development
Plan.
Namibia-1on1. (2013). The Information Site. Retrived October
03, 2014, from Travel Namibia Network:
http://www.namibia-1on1.com/mariental.html