A PHENOLOGICAL CLASSIFICATION OF TERRESTRIAL VEGETATION COVER USING SHORTWAVE VEGETATION INDEX IMAGERY

被引:312
作者
LLOYD, D [1 ]
机构
[1] UNIV BRISTOL,DEPT GEOG,REMOTE SENSING UNIT,BRISTOL BS8 1SS,ENGLAND
关键词
D O I
10.1080/01431169008955174
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The imaging frequency and synoptic coverage of the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) make possible for the first time a phenological approach to vegetation cover classification in which classes are defined in terms of the timing, the duration and the intensity of photosynthetic activity. This approach, which exploits the strong, approximately linear relationship between the amount of solar irradiance absorbed by plant pigments and shortwave vegetation indices calcu-lated from red and near-infrared reflectances, involves a supervised binary decision tree classification of phytophenological variables derived from multidate normalized difference vegetation index (NDVI) imagery. A global phytophenological classification derived from NOAA global vegetation index imagery is presented and discussed. Although interpretation of the various classes is limited considerably by the quality of global vegetation index imagery, the data show clearly the marked temporal asymmetry of terrestrial photosynthetic activity. © 1990 Taylor & Francis Group, LLC.
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页码:2269 / 2279
页数:11
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