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      Global data sets for land applications from the Advanced Very High Resolution Radiometer: an introduction

      International Journal of Remote Sensing
      Informa UK Limited

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          Characteristics of maximum-value composite images from temporal AVHRR data

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            Analysis of the phenology of global vegetation using meteorological satellite data

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              African land-cover classification using satellite data.

              Data from the advanced very-high-resolution radiometer sensor on the National Oceanic and Atmospheric Administration's operational series of meteorological satellites were used to classify land cover and monitor vegetation dynamics for Africa over a 19-month period. There was a correspondence between seasonal variations in the density and extent of green-leaf vegetation and the patterns of rainfall associated with the movement of the Intertropical Convergence Zone. Regional variations, such as the 1983 drought in the Sahel of westem Africa, were observed. Integration of the weekly satellite data with respect to time for a 12-month period produced a remotely sensed estimate of primary production based upon the density and duration of green-leaf biomass. Eight of the 21-day composited data sets covering an 11-month period were used to produce a general land-cover classification that corresponded well with those of existing maps.
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                Author and article information

                Journal
                International Journal of Remote Sensing
                International Journal of Remote Sensing
                Informa UK Limited
                0143-1161
                1366-5901
                May 10 2007
                May 10 2007
                : 15
                : 17
                : 3319-3332
                Article
                10.1080/01431169408954333
                86f027ec-1aa8-43e4-acd8-173810b9b890
                © 2007
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