Next Article in Journal
Historical Single Image-Based Modeling: The Case of Gobierna Tower, Zamora (Spain)
Next Article in Special Issue
Temperature and Snow-Mediated Moisture Controls of Summer Photosynthetic Activity in Northern Terrestrial Ecosystems between 1982 and 2011
Previous Article in Journal
Integration of Satellite Imagery, Topography and Human Disturbance Factors Based on Canonical Correspondence Analysis Ordination for Mountain Vegetation Mapping: A Case Study in Yunnan, China
Previous Article in Special Issue
Phenological Metrics Derived over the European Continent from NDVI3g Data and MODIS Time Series
Article Menu

Export Article

Open AccessArticle
Remote Sens. 2014, 6(2), 1057-1084;

Intercomparison of Seven NDVI Products over the United States and Mexico

Department of Atmospheric Sciences, The University of Arizona, Tucson, AZ 85721, USA
Author to whom correspondence should be addressed.
Received: 4 December 2013 / Revised: 15 January 2014 / Accepted: 16 January 2014 / Published: 27 January 2014
(This article belongs to the Special Issue Monitoring Global Vegetation with AVHRR NDVI3g Data (1981-2011))
Full-Text   |   PDF [1833 KB, uploaded 19 June 2014]   |  


Satellites have provided large-scale monitoring of vegetation for over three decades, and several satellite-based Normalized Difference Vegetation Index (NDVI) datasets have been produced. Here we intercompare four long-term NDVI datasets based largely on the AVHRR sensor (NDVIg, NDVI3g, STAR, VIP) and three datasets based on newer sensors (SPOT, Terra, Aqua) and evaluate the effectiveness of homogenizing the datasets using the green vegetation fraction (GVF) and the impact it has on phenology trends. Results show that all NDVI datasets are highly correlated with each other. However, there are significant differences in the regression slopes that vary spatially and temporally. There is a general trend towards higher maximum annual NDVI over much of the temperate forests of the US and a longer greening period due mostly to a delayed end of the season. These trends are less well-defined over rainfall dependent ecosystems in Mexico and the southwest US Compared with the NDVI datasets, the derived GVF datasets show more one-to-one relationships, have reduced interannual variation, preserve their relationships better over the entire time period and are characterized by weaker trends. Finally, weak agreement between the trends in the datasets stresses the importance of using multiple datasets to evaluate changes in vegetation and its phenology. View Full-Text
Keywords: vegetation fraction; NDVI; phenology; trends; satellite; MODIS; AVHRR; SPOT vegetation fraction; NDVI; phenology; trends; satellite; MODIS; AVHRR; SPOT

Graphical abstract

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Scheftic, W.; Zeng, X.; Broxton, P.; Brunke, M. Intercomparison of Seven NDVI Products over the United States and Mexico. Remote Sens. 2014, 6, 1057-1084.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top