Global vegetation phenology from AVHRR and MODIS data

Xiaoyang Zhang; John C.F. Hodges; Crystal B. Schaaf; Mark A. Friedl; Alan H. Strahler; Feng Gao

Global vegetation phenology from AVHRR and MODIS data

Xiaoyang Zhang
, John C.F. Hodges
, Crystal B. Schaaf
, Mark A. Friedl
, Alan H. Strahler
, Feng Gao

SFE - Dean's Office

Boston University

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	2262-2264
Number of pages	3
State	Published - 2001
Event	2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) - Sydney, NSW, Australia Duration: Jul 9 2001 → Jul 13 2001

Conference

Conference	2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)
Country/Territory	Australia
City	Sydney, NSW
Period	7/9/01 → 7/13/01

ASJC Scopus Subject Areas

Computer Science Applications
General Earth and Planetary Sciences

Cite this

@conference{4bc204f7dcd445ecba33ef61b12e97b8,

title = "Global vegetation phenology from AVHRR and MODIS data",

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.",

author = "Xiaoyang Zhang and Hodges, \{John C.F.\} and Schaaf, \{Crystal B.\} and Friedl, \{Mark A.\} and Strahler, \{Alan H.\} and Feng Gao",

year = "2001",

language = "English",

pages = "2262--2264",

note = "2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001) ; Conference date: 09-07-2001 Through 13-07-2001",

}

TY - CONF

T1 - Global vegetation phenology from AVHRR and MODIS data

AU - Zhang, Xiaoyang

AU - Hodges, John C.F.

AU - Schaaf, Crystal B.

AU - Friedl, Mark A.

AU - Strahler, Alan H.

AU - Gao, Feng

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0035570810

UR - https://www.scopus.com/pages/publications/0035570810#tab=citedBy

M3 - Paper

AN - SCOPUS:0035570810

SP - 2262

EP - 2264

T2 - 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001)

Y2 - 9 July 2001 through 13 July 2001

ER -

Global vegetation phenology from AVHRR and MODIS data

Abstract

Conference

ASJC Scopus Subject Areas

Other files and links

Fingerprint

Cite this