Title :
Global vegetation phenology from AVHRR and MODIS data
Author :
Zhang, Xiaoyang ; Hodges, John C F ; Schaaf, Crystal B. ; Friedl, Mark A. ; Strahler, Alan H. ; Gao, Feng
Author_Institution :
Dept. of Geogr. & Center for Remote Sensing, Boston Univ., MA, USA
Abstract :
Seasonal climatic variability drives four successive phases of vegetation phenology: green-up, maturity, senescence and dormancy. These periods can be divided by four transition dates of phenological phases. An algorithm of maximal curvature detection is developed to measure these dates for vegetation communities at each vegetation cycle. This method is applied to detect vegetation phenology based on AVHRR and MODIS data from regional to global extents. The spatial distribution patterns of phenological phases and cycle modes are analyzed in association with such environmental factors as temperature variability, water availability and human activity
Keywords :
vegetation mapping; AVHRR data; MODIS data; cycle modes; dormancy; environmental factors; global vegetation phenology; green-up; human activity; maturity; maximal curvature detection; seasonal climatic variability; senescence; temperature variability; transition dates; vegetation communities; vegetation cycle; water availability; Clouds; Geography; Humans; MODIS; Pattern analysis; Remote sensing; Satellites; Stability; Temperature distribution; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.977969
