By Paul M. Mather

ISBN-10: 0470849185

ISBN-13: 9780470849187

ISBN-10: 0470849193

ISBN-13: 9780470849194

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Extra info for Computer Processing of Remotely-Sensed Images: An Introduction

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Clarke (1999) gives an accessible survey of the use of imaging spectrometers in identifying surface materials. 22 was produced from spectral reflectance and emittance data downloaded from the NASA Jet Propulsion Laboratory’s ASTER Spectral Library. Spectra for basalt and limestone are shown, for the optical and infrared regions of the spectrum. Distinctive differences are apparent. The dark basalt reflects less incoming energy than the limestone sample in the optical region of the spectrum, and shows more variability in the thermal infrared between 3 and 6 µm.

82 minutes. 1(a). 1(b). The angle between the orbital plane and the Earth’s equatorial plane is termed the inclination of the orbit, which is usually denoted by the letter i. Changes in the orbit are due largely to precession, caused mainly by the slightly nonspherical shape of the Earth. If the orbital precession is the same as the Earth’s rotation round the Sun then the relationship between the node line and the Sun is always the same, and the satellite will pass over a given point on the Earth’s surface at the same Sun time each day.

In this figure, the Sun is in the south east with an azimuth of approximately 120◦ and a zenith angle of approximately 60◦ . the leafing stage, through growth to maturity and, finally, to senescence. 19), the height of the Sun in the sky (solar elevation angle), the direction that the sensor is pointing relative to nadir (the look angle) and the state of health of vegetation, if that is the target. Nevertheless, if the assumption that specific targets are characterised by an individual spectral response were invalid then the Earth observation by remote sensing would be an impossible task.

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Computer Processing of Remotely-Sensed Images: An Introduction by Paul M. Mather


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