Comparison of Harmonic Analysis of Time Series (HANTS) and Multi-Singular Spectrum Analysis (M-SSA) in Reconstruction of Long-Gap Missing Data in NDVI Time Series

Comparison of Harmonic Analysis of Time Series (HANTS) and Multi-Singular Spectrum Analysis (M-SSA) in Reconstruction of Long-Gap Missing Data in NDVI Time Series

Monitoring vegetation changes over time is very important in dry areas such as Iran, given its pronounced drought-prone agricultural system. Vegetation indices derived from remotely sensed satellite imageries are successfully used to monitor vegetation changes at various scales. Atmospheric dust as...

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Bibliographic Details
Main Authors: Hamid Reza Ghafarian Malamiri, Hadi Zare, Iman Rousta, Haraldur Olafsson, Emma Izquierdo Verdiguier, Hao Zhang, Terence Darlington Mushore
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Remote Sensing
Subjects:
harmonic analysis of time series (HANTS)
multi-singular spectrum analysis (M-SSA)
gap filling of NDVI time series
MODIS
Online Access:https://www.mdpi.com/2072-4292/12/17/2747

Internet

https://www.mdpi.com/2072-4292/12/17/2747

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