On the performance of remote sensing time series reconstruction methods – A spatial comparison-Reference-Cited by-同舟云学术

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On the performance of remote sensing time series reconstruction methods – A spatial comparison

Published:2016-12 Issue: Volume:187 Page:367-384
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Zhou Jie^ORCID,Jia Li,Menenti Massimo,Gorte Ben

Funder

Chinese Academy of Sciences

National Key Basic Research Program of China

1000 Talent Plan for High-Level Foreign Experts

China Scholarship Council

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference72 articles.

1. Global changes in dryland vegetation dynamics (1988–2008) assessed by satellite remote sensing: comparing a new passive microwave vegetation density record with reflective greenness data;Andela;Biogeosciences,2013

2. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology;Atkinson;Remote Sens. Environ.,2012

3. Evaluating the effectiveness of smoothing algorithms in the absence of ground reference measurements;Atzberger;Int. J. Remote Sens.,2011

4. Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data;Azzali;Int. J. Remote Sens.,2000

5. Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products: proposition of the CEOS-BELMANIP;Baret;IEEE Trans. Geosci. Remote Sens.,2006

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