Geography
Document Type
Article
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 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.
Publication Title
Remote Sensing
Publication Date
2013
Volume
5
Issue
10
First Page
4799
Last Page
4818
ISSN
2072-4292
DOI
10.3390/rs5104799
Keywords
AVHRR, GIMMS NDVI3g, NDVI, phenology, seasonal trend analysis
Repository Citation
Eastman, J. Ronald; Sangermano, Florencia; Machado, Elia A.; Rogan, John; and Anyamba, Assaf, "Global trends in seasonality of Normalized Difference Vegetation Index (NDVI), 1982-2011" (2013). Geography. 39.
https://commons.clarku.edu/faculty_geography/39
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
