期刊论文详细信息
Remote Sensing
Quantification of Impact of Orbital Drift on Inter-Annual Trends in AVHRR NDVI Data
Jyoteshwar R. Nagol1  Eric F. Vermote2 
[1] Department of Geographical Sciences, University of Maryland, 2181 Samuel J. LeFrak Hall, College Park, MD 20742, USA; E-Mail:;NASA Goddard Space Flight Center, Mail Code 619, Building 32, S036C, Greenbelt, MD 20771, USA; E-Mail:
关键词: AVHRR;    LTDR;    NDVI;    orbital drift;    BRDF;    MODIS;    solar zenith angle;   
DOI  :  10.3390/rs6076680
来源: mdpi
PDF
【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland

【 预 览 】
附件列表
Files Size Format View
RO202003190023784ZK.pdf 773KB PDF download
  文献评价指标  
  下载次数:3次 浏览次数:4次