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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ftmdpi:oai:mdpi.com:/2072-4292/5/10/4799/ 2023-08-20T04:10:06+02:00 Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011 J. Eastman Florencia Sangermano Elia Machado John Rogan Assaf Anyamba agris 2013-09-30 application/pdf https://doi.org/10.3390/rs5104799 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs5104799 https://creativecommons.org/licenses/by/3.0/ Remote Sensing; Volume 5; Issue 10; Pages: 4799-4818 NDVI GIMMS NDVI3g Seasonal Trend Analysis AVHRR phenology Text 2013 ftmdpi https://doi.org/10.3390/rs5104799 2023-07-31T20:34:11Z 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. Text taiga Tundra MDPI Open Access Publishing Remote Sensing 5 10 4799 4818 |
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English |
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NDVI GIMMS NDVI3g Seasonal Trend Analysis AVHRR phenology |
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NDVI GIMMS NDVI3g Seasonal Trend Analysis AVHRR phenology J. Eastman Florencia Sangermano Elia Machado John Rogan Assaf Anyamba Global Trends in Seasonality of Normalized Difference Vegetation Index (NDVI), 1982–2011 |
topic_facet |
NDVI GIMMS NDVI3g Seasonal Trend Analysis AVHRR phenology |
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. |
format |
Text |
author |
J. Eastman Florencia Sangermano Elia Machado John Rogan Assaf Anyamba |
author_facet |
J. Eastman Florencia Sangermano Elia Machado John Rogan Assaf Anyamba |
author_sort |
J. Eastman |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2013 |
url |
https://doi.org/10.3390/rs5104799 |
op_coverage |
agris |
genre |
taiga Tundra |
genre_facet |
taiga Tundra |
op_source |
Remote Sensing; Volume 5; Issue 10; Pages: 4799-4818 |
op_relation |
https://dx.doi.org/10.3390/rs5104799 |
op_rights |
https://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.3390/rs5104799 |
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Remote Sensing |
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10 |
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4799 |
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4818 |
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