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

Volume

5

fYear

2001

fDate

2001

Firstpage

2262

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.977969

Filename

977969