TY - JOUR
AU - LLOYD, DANIEL
AB -  Abstract 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 calculated 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. 
TI - A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery
JF - International Journal of Remote Sensing
DO - 10.1080/01431169008955174
DA - 1990-12-01
UR - https://www.deepdyve.com/lp/taylor-francis/a-phenological-classification-of-terrestrial-vegetation-cover-using-B0J4Y5vaNv
SP - 2269
EP - 2279
VL - 11
IS - 12
DP - DeepDyve
ER -