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Journal of Geo-information Science >

2011 , Vol. 13 >Issue 4: 439 - 446

DOI: https://doi.org/10.3724/SP.J.1047.2011.00439

ARTICLES

Reconstruction of Time Series Data of Environmental Parameters: Methods and Application

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  • Data Center for Resources and Environmental Sciences, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China

Received date: 2011-02-16

  Revised date: 2011-06-26

  Online published: 2011-08-23

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Abstract

The satellite-derived environmental parameters play important roles in global change and regional resources and environment researches. Atmosphere effects and sensor limitations often lead to data products of inherently variable quality. The main goals of time series data reconstruction are to remove cloud affected observations and create gapless dataset at a prescribed time with multiple spatio-temporal interpolation and statistical methods. The conventional reconstructing algorithm include threshold method, temporal filtering method, and nonlinear simulation, etc., and mainly applied on satellite derived vegetation index, leaf area index and surface energy balance parameters. Although methods mentioned above have been applied in related researches and received good results, they suffer from their own drawbacks which limit their use. The algorithm of MVC and MVI ignores the remarkable anisotropy of reflectivity and VI, which may conceal details of vegetation with too large interval and lead to the result of reconstructed VI data from MVC and MVI remain a lot of noises. The BISE and other threshold-based methods may make the extracted temporal information unreliable. The Fourier analysis algorithm is sensitive to spurious peaks of the VI trend line, so it may depart from the truth a lot. Much attention should be paid to data assimilation based approaches which couple remote sensing retrieval model with surface processing model.

Key words： remotely sensed parameters; time series data reconstruction; data assimilation

Cite this article

JIANG Dong, FU Jingying, HUANG Yaohuan, ZHUANG Dafang . Reconstruction of Time Series Data of Environmental Parameters: Methods and Application[J]. Journal of Geo-information Science, 2011 , 13(4) : 439 -446 . DOI: 10.3724/SP.J.1047.2011.00439

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