Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011
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...
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ftclarkuniv:oai:commons.clarku.edu:faculty_geography-1038 2023-09-05T13:23:40+02:00 Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 Eastman, J. Ronald Sangermano, Florencia Machado, Elia A. Rogan, John Anyamba, Assaf 2013-01-01T08:00:00Z application/pdf https://commons.clarku.edu/faculty_geography/39 https://doi.org/10.3390/rs5104799 https://commons.clarku.edu/context/faculty_geography/article/1038/viewcontent/GeographyFacultyWorks_SangRogan_GlobalTrends_038.pdf unknown Clark Digital Commons https://commons.clarku.edu/faculty_geography/39 doi:10.3390/rs5104799 https://commons.clarku.edu/context/faculty_geography/article/1038/viewcontent/GeographyFacultyWorks_SangRogan_GlobalTrends_038.pdf http://creativecommons.org/licenses/by/4.0/ Geography AVHRR GIMMS NDVI3g NDVI phenology seasonal trend analysis Geography Remote Sensing Social and Behavioral Sciences text 2013 ftclarkuniv https://doi.org/10.3390/rs5104799 2023-08-14T06:15:07Z 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 of these classes, it was evident that they are primarily found in natural areas (as opposed to anthropogenic land cover conversions) and that they are consistent with climate-related ameliorations of growing conditions during the study period. © 2013 by the authors. Text taiga Tundra Clark University: Clark Digital Commons Remote Sensing 5 10 4799 4818 |
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Clark University: Clark Digital Commons |
op_collection_id |
ftclarkuniv |
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topic |
AVHRR GIMMS NDVI3g NDVI phenology seasonal trend analysis Geography Remote Sensing Social and Behavioral Sciences |
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AVHRR GIMMS NDVI3g NDVI phenology seasonal trend analysis Geography Remote Sensing Social and Behavioral Sciences Eastman, J. Ronald Sangermano, Florencia Machado, Elia A. Rogan, John Anyamba, Assaf Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 |
topic_facet |
AVHRR GIMMS NDVI3g NDVI phenology seasonal trend analysis Geography Remote Sensing Social and Behavioral Sciences |
description |
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 of these classes, it was evident that they are primarily found in natural areas (as opposed to anthropogenic land cover conversions) and that they are consistent with climate-related ameliorations of growing conditions during the study period. © 2013 by the authors. |
format |
Text |
author |
Eastman, J. Ronald Sangermano, Florencia Machado, Elia A. Rogan, John Anyamba, Assaf |
author_facet |
Eastman, J. Ronald Sangermano, Florencia Machado, Elia A. Rogan, John Anyamba, Assaf |
author_sort |
Eastman, J. Ronald |
title |
Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 |
title_short |
Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 |
title_full |
Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 |
title_fullStr |
Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 |
title_full_unstemmed |
Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011 |
title_sort |
global trends in seasonality of normalized difference vegetation index (ndvi), 1982-2011 |
publisher |
Clark Digital Commons |
publishDate |
2013 |
url |
https://commons.clarku.edu/faculty_geography/39 https://doi.org/10.3390/rs5104799 https://commons.clarku.edu/context/faculty_geography/article/1038/viewcontent/GeographyFacultyWorks_SangRogan_GlobalTrends_038.pdf |
genre |
taiga Tundra |
genre_facet |
taiga Tundra |
op_source |
Geography |
op_relation |
https://commons.clarku.edu/faculty_geography/39 doi:10.3390/rs5104799 https://commons.clarku.edu/context/faculty_geography/article/1038/viewcontent/GeographyFacultyWorks_SangRogan_GlobalTrends_038.pdf |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs5104799 |
container_title |
Remote Sensing |
container_volume |
5 |
container_issue |
10 |
container_start_page |
4799 |
op_container_end_page |
4818 |
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1776204258498052096 |