Workshop Proceedings - Inter Islamic Network on Space Sciences ...

Theme 2: Agriculture Landuse
2.3. Method
Fig. (2) Research plan flow chart
As shown in Fig. (2), the flow of the research activities
was as follows:
Landsat image p172r51, covering the study area, was
downloaded from the open source (USGS website). Field
data were collected and entered in a Microsoft Office
sheet as a table containing the following columns, in
addition to others: coordinates of points where crop
cutting had taken place, average crop yield amount at
each location, date of crop cutting, …etc.
The image was subset using the boundary of the study
area, processed and the Normalized Difference Vegetation
Index (NDVI) was produced.
Using the field data in the Excel sheet, a point shapefile
was produced showing the locations where the crop was
cut. This point shapefile was then overlaid on the produced
NDVI surface and the NDVI Values at all locations of crop
cutting were obtained by applying the tool (3D Analyst
Tools| Functional Surface | Surface Spot) of ArcGIS 9.3.
The InfraRed reflectance values were obtained at all crop
cutting locations, in a similar manner as done for getting
the NDVI values, using Band 4 of the Landsat image as a
background on which the crop cutting point shapefile was
overlaid.
produce a chart for the purpose of comparison. From the
attribute table of the crop cutting point shapefile the
frequency distribution of each of the NDVI, InfraRed
Reflectance, and Crop Cutting values were produced and
the standard statistical controls were investigated.
2.4. Tools
2.4.1. Microsoft Excel
2.4.2. ArcGIS 9.3 including the extension: Geostatistical
Analyst and 3D Analyst.
2.4.3. ERDAS imagine 8,5.
2.4.4. GPS navigator, Garmin map 60.
2.4.5. Laptop HP550, Intel (R), Celeron (R) CPU 2.00 GHz
@ 550 RAM 0.99 GB, 1.99 GHz.
2.4.6 Printer: HP LaserJet 1320 and Plotter: hpdesignjet
500.
3. Results And Discussion
3.1: Result obtained from the crop cutting activities was
presented in Fig. (3), which shows the spatial distribution
of the crop cutting locations in the field, in addition to an
interpolated surface produced to assist in providing a
synoptic view of the crop cut in the study area.
Finally, the Geostatistical Analyst was applied to produce
the Quantile-Quantile plot in order to display and compare
the results. Moreover, the Microsoft Excel was used to
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