www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011

Abstract: A 30-year series of global monthly Normalized Difference Vegetation Index (NDVI) imagery derived from the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g archive was analyzed for the presence of trends in changing seasonality. Using the Seasonal Trend Analysis (STA) procedure,...

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Main Authors: J. Ronald Eastman, Florencia Sangermano, Elia A. Machado, John Rogan, Assaf Anyamba
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2013
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.690.1025
http://www.mdpi.com/2072-4292/5/10/4799/pdf/
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.690.1025 2023-05-15T18:30:47+02:00 www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011 J. Ronald Eastman Florencia Sangermano Elia A. Machado John Rogan Assaf Anyamba The Pennsylvania State University CiteSeerX Archives 2013 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.690.1025 http://www.mdpi.com/2072-4292/5/10/4799/pdf/ en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.690.1025 http://www.mdpi.com/2072-4292/5/10/4799/pdf/ Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.mdpi.com/2072-4292/5/10/4799/pdf/ OPEN ACCESS text 2013 ftciteseerx 2016-01-08T18:21:20Z Abstract: A 30-year series of global monthly Normalized Difference Vegetation Index (NDVI) imagery derived from the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g archive was analyzed for the presence of trends in changing seasonality. Using the Seasonal Trend Analysis (STA) procedure, over half (56.30%) of land surfaces were found to exhibit significant trends. Almost half (46.10%) of the significant trends belonged to three classes of seasonal trends (or changes). Class 1 consisted of areas that experienced a uniform increase in NDVI throughout the year, and was primarily associated with forested areas, particularly broadleaf forests. Class 2 consisted of areas experiencing an increase in the amplitude of the annual seasonal signal whereby increases in NDVI in the green season were balanced by decreases in the brown season. These areas were found primarily in grassland and shrubland regions. Class 3 was found primarily in the Taiga and Tundra biomes and exhibited increases in the annual summer peak in NDVI. While no single attribution of cause could be determined for each Text taiga Tundra Unknown
institution Open Polar
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topic OPEN ACCESS
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J. Ronald Eastman
Florencia Sangermano
Elia A. Machado
John Rogan
Assaf Anyamba
www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011
topic_facet OPEN ACCESS
description Abstract: A 30-year series of global monthly Normalized Difference Vegetation Index (NDVI) imagery derived from the Global Inventory Modeling and Mapping Studies (GIMMS) NDVI3g archive was analyzed for the presence of trends in changing seasonality. Using the Seasonal Trend Analysis (STA) procedure, over half (56.30%) of land surfaces were found to exhibit significant trends. Almost half (46.10%) of the significant trends belonged to three classes of seasonal trends (or changes). Class 1 consisted of areas that experienced a uniform increase in NDVI throughout the year, and was primarily associated with forested areas, particularly broadleaf forests. Class 2 consisted of areas experiencing an increase in the amplitude of the annual seasonal signal whereby increases in NDVI in the green season were balanced by decreases in the brown season. These areas were found primarily in grassland and shrubland regions. Class 3 was found primarily in the Taiga and Tundra biomes and exhibited increases in the annual summer peak in NDVI. While no single attribution of cause could be determined for each
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author J. Ronald Eastman
Florencia Sangermano
Elia A. Machado
John Rogan
Assaf Anyamba
author_facet J. Ronald Eastman
Florencia Sangermano
Elia A. Machado
John Rogan
Assaf Anyamba
author_sort J. Ronald Eastman
title www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011
title_short www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011
title_full www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011
title_fullStr www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011
title_full_unstemmed www.mdpi.com/journal/remotesensing Article Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011
title_sort www.mdpi.com/journal/remotesensing article global trends in seasonality of normalized difference vegetation index (ndvi), 1982–2011
publishDate 2013
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.690.1025
http://www.mdpi.com/2072-4292/5/10/4799/pdf/
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Tundra
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http://www.mdpi.com/2072-4292/5/10/4799/pdf/
op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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