I will pay for the following article Remote Sensing and Image Processing. The work is to be 8 pages with three to five sources, with in-text citations and a reference page. There are two types of remote sensing which are passive and active. In passive remote sensing, the Sun is used to illuminate the target and the reflected waves are used to carry out the measurement. Active remote sensing, however, offers the ability to carry out measurement at any time of day or season. Furthermore, it also allows for examination of wavelengths that are not sufficiently provided by the sun as well as control over how the target object is illuminated. However, active remote sensing requires a fairly large energy source in order to adequately illuminate the target (Smith 2010).
For Task involving estimation of vegetation coverage, the data was collected through the National Oceanic and Atmospheric Administrations (NOAA) Advanced Very High-Resolution Radiometer(AVHRR).In order to detect vegetation a band rationing of near Infra-Red (700-1300nm) by Visible Light (400-700nm) is used. This will not only eliminate albedo effects as well as shadows from the processed imaging but would also allow high visibility of vegetation in the image.
For Task involving classification of information classes, an image of Churn Farm will be used. This data in this image was collected by a NERC ATM scanner in 1984 which was carried by airplane. The image has 4 bands. This map outlines sites of known agricultural land-use. Each land cover type has been assigned an integer hence. possible training sites for each type of land cover can be identified.
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The methodology used for this task involves the calculation of the Ratio Vegetation Index (RVI) as well as the Normalized Difference Vegetation Index (NDVI) for Lake Nakuru Thematic Mapper (TM) image. For TM data, band 3 and band 4 are used where band 3 measures red light while band 4 measures the near Infra-Red light.
Lake Nakura is a small saltwater lake situated outside the town of Nakuru. .