A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information-Reference-Cited by-同舟云学术

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A gap-filling method for satellite-derived chlorophyll-a time series based on neighborhood spatiotemporal information

Published:2024-04 Issue: Volume:128 Page:103724
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Zhou Gaoxiang,Liu Ming,Xu Linlin,Li Liangzhi

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference44 articles.

1. Reconstruction of incomplete oceanographic data sets using empirical orthogonal functions: application to the Adriatic Sea surface temperature;Alvera-Azcárate;Ocean Model,2005

2. Remote sensing of phytoplankton blooms in the continental shelf and shelf-break of Argentina: spatio-temporal changes and phenology;Andreo;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2016

3. A mechanistic semi-analytical method for remotely sensing sea surface p CO 2 in river-dominated coastal oceans: A case study from the E ast C hina S ea;Bai;J. Geophys. Res. Oceans,2015

4. DINCAE 1.0: a convolutional neural network with error estimates to reconstruct sea surface temperature satellite observations;Barth;Geosci. Model Dev.,2020

5. DINCAE 2.0: multivariate convolutional neural network with error estimates to reconstruct sea surface temperature satellite and altimetry observations;Barth;Geosci. Model Dev.,2022

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