Download e-book for kindle: Advances in the Use of NOAA AVHRR Data for Land Applications by C. J. Tucker (auth.), Giles D’Souza, Alan S. Belward,

By C. J. Tucker (auth.), Giles D’Souza, Alan S. Belward, Jean-Paul Malingreau (eds.)

ISBN-10: 9400902034

ISBN-13: 9789400902039

ISBN-10: 9401065756

ISBN-13: 9789401065757

An up to date, exact set of notes masking all features of NOAA AVHRR facts assortment, pre-processing, research and alertness. comprises many FTP websites, e mail addresses and URL destinations. a few chapters handle specific points of the NOAA AVHRR approach, equivalent to radiometric calibration and geometric correction, whereas others offer normal info of curiosity to any distant sensing examine, akin to radiative move modelling and atmospheric correction. The ebook of a e-book that covers all vital points of the remedy and realizing of the knowledge in a single quantity makes the paintings a handy, informative `recipe publication' that's guaranteed to develop into a favorite for all clients of NOAA AVHRR data.

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Extra resources for Advances in the Use of NOAA AVHRR Data for Land Applications

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All quantitative analysis of NOAA-AVHRR data should be based on real physical parameters derived from the imagery. In this chapter we cover the basic steps involved in the conversion of the raw digital numbers from the NOAA-AVHRR data stream into real physical quantities such as radiance, top-of-atmosphere reflectance and brightness temperature. Both preflight and inflight calibration of all NOAA AVHRR channels are covered in detail. 1. Introduction As seen in the previous chapter by Tucker, the redesignation of the visible channel on the NOAA-AVHRR sensors led to the rapid development of a number of land applications, especially the monitoring of vegetation dynamics using vegetation indices In general, vegetation indices are based on a ratio of reflectance, as derived from channels 1 and 2 of the AVHRR sensor.

International Journal of Remote Sensing, 6:619-628. , 1986. Satellite remote sensing of primary production. Internationa/Journal of Remote Sensing, 7: 1395-1416. L, Boerwinkel, E, and Gaston, A, 1983 Satellite remote sensing of total dry matter production in the Senegalese Sahel: 1980-1984. Remote SenSing of Environment, 13:461-474. , Vanpraet, C. L, Sharman, M. , 1985. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 19801984. Remote Sensing of Environment, 17:233-249.

00 Target temperature (K) Figure 2. Non-linear corrections for Channels 4 and 5 for NOAA's 9, and 11, at internal target temperatures of 10, 15 and 20 degrees Centigrade. 2. VISIBLE AND NEAR-INFRARED CHANNELS Similarly to the radiometric calibration for the thermal and mid-infrared channels, the first thing to be determined for the visible and near-infrared channels is their spectral sensitivity. This is provided diagramatically in Kidwell (1991), and an example of the spectral sensitivity curves for channel 1 and 2 of the NOAA-II AVHRR is provided in Figure 3 below.

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Advances in the Use of NOAA AVHRR Data for Land Applications by C. J. Tucker (auth.), Giles D’Souza, Alan S. Belward, Jean-Paul Malingreau (eds.)

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