Data availibilty
Okamboro
The list below shows which other data is available for this observatory.
Other observatories
The list below shows for which other observatories the following datatype is available:
Remote Sensing
(List in North-South Direction)
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Okamboro (S06) - Remote Sensing
Explanations for ETM-subsetsThis image is a subset of a Landsat 7 ETM+ image, covering a size of about 30 km by 25 km, which was acquired during the rainy season. It is visualized as a so-called false colour composite. On the Red, Green and Blue channels the spectral bands 4: NIR (near Infrared), 5: MIR1 (Mid Infrared 1) and 3: visible red of the Landsat ETM+ sensor are displayed (RGB: 4-5-3).This band combination suits best for a detailed visualization of different land cover properties. Due to that, the displayed colours are not natural.
Details |
Observatory |
Okamboro (S06) |
Info |
In the displayed image the observatory is given as a dotted rectangular box of 1km x 1km extension. |
WRS2 Path-Row |
178-75 |
Acquisition Date |
17.05.2000 |
Image Details |
The highland savanna of the Khomas Hochland where the Ovitoto observatory is located is affected by bush encroachment (red). Communal settlements with concentrated high grazing impact appear as white patches. In the left center of the image the town Okahandja is visible (small scale red-blue mosaic), and in the mountains East of Okahandja the Von Bach Dam can be recognized as a black-blue “dragon”. Dry river beds are visible as white lines because recent flooding swiped away riverine vegetation. |
In general, the colours refer to the following land cover types:
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Dark Blue: Water bodies, dams and lakes without Algae.
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Light Blue: in populated places mainly buildings, outside of towns mainly rocks, and very sparsely vegetated soils.
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Red: Very dense and vital vegetation like bush thickets, forests or planted fields, in towns: gardens.
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Green: "middle dense" or less vital vegetation, like grass savanna (light green) and dry bush (dark green).
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White: bare soil or sparsely vegetated areas, independently from the natural soil colour, also gravel roads and pads.
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Intermediate colours are representing mixed pixels with information of several land cover types.
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