Next Article in Journal
Effect of Bias Correction of Satellite-Rainfall Estimates on Runoff Simulations at the Source of the Upper Blue Nile
Previous Article in Journal
An Approach to Persistent Scatterer Interferometry
Article Menu

Export Article

Open AccessLetter
Remote Sens. 2014, 6(7), 6680-6687; doi:10.3390/rs6076680

Quantification of Impact of Orbital Drift on Inter-Annual Trends in AVHRR NDVI Data

1
Department of Geographical Sciences, University of Maryland, 2181 Samuel J. LeFrak Hall, College Park, MD 20742, USA
2
NASA Goddard Space Flight Center, Mail Code 619, Building 32, S036C, Greenbelt, MD 20771, USA
*
Author to whom correspondence should be addressed.
Received: 14 November 2013 / Revised: 30 June 2014 / Accepted: 3 July 2014 / Published: 22 July 2014
View Full-Text   |   Download PDF [773 KB, uploaded 22 July 2014]   |  

Abstract

The Normalized Difference Vegetation Index (NDVI) time-series data derived from Advanced Very High Resolution Radiometer (AVHRR) have been extensively used for studying inter-annual dynamics of global and regional vegetation. However, there can be significant uncertainties in the data due to incomplete atmospheric correction and orbital drift of the satellites through their active life. Access to location specific quantification of uncertainty is crucial for appropriate evaluation of the trends and anomalies. This paper provides per pixel quantification of orbital drift related spurious trends in Long Term Data Record (LTDR) AVHRR NDVI data product. The magnitude and direction of the spurious trends was estimated by direct comparison with data from MODerate resolution Imaging Spectrometer (MODIS) Aqua instrument, which has stable inter-annual sun-sensor geometry. The maps show presence of both positive as well as negative spurious trends in the data. After application of the BRDF correction, an overall decrease in positive trends and an increase in number of pixels with negative spurious trends were observed. The mean global spurious inter-annual NDVI trend before and after BRDF correction was 0.0016 and −0.0017 respectively. The research presented in this paper gives valuable insight into the magnitude of orbital drift related trends in the AVHRR NDVI data as well as the degree to which it is being rectified by the MODIS BRDF correction algorithm used by the LTDR processing stream. View Full-Text
Keywords: AVHRR; LTDR; NDVI; orbital drift; BRDF; MODIS; solar zenith angle AVHRR; LTDR; NDVI; orbital drift; BRDF; MODIS; solar zenith angle
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Nagol, J.R.; Vermote, E.F.; Prince, S.D. Quantification of Impact of Orbital Drift on Inter-Annual Trends in AVHRR NDVI Data. Remote Sens. 2014, 6, 6680-6687.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

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