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Articles

Reconstruction of satellite chlorophyll-a data using a modified DINEOF method: a case study in the Bohai and Yellow seas, China

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Pages 204-217 | Received 08 Oct 2012, Accepted 04 Jun 2013, Published online: 04 Dec 2013

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Yueqi Wang, Zhiqiang Gao & Dongyan Liu. (2019) Multivariate DINEOF Reconstruction for Creating Long-Term Cloud-Free Chlorophyll- a Data Records From SeaWiFS and MODIS: A Case Study in Bohai and Yellow Seas, China . IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12:5, pages 1383-1395.
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Andrea Hilborn & Maycira Costa. (2018) Applications of DINEOF to Satellite-Derived Chlorophyll-a from a Productive Coastal Region. Remote Sensing 10:9, pages 1449.
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Chenxu Ji, Yuanzhi Zhang, Qiuming Cheng, JinYeu Tsou, Tingchen Jiang & X. San Liang. (2018) Evaluating the impact of sea surface temperature (SST) on spatial distribution of chlorophyll-a concentration in the East China Sea. International Journal of Applied Earth Observation and Geoinformation 68, pages 252-261.
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Bo Ping, Fenzhen Su & Yunshan Meng. (2015) Reconstruction of Satellite-Derived Sea Surface Temperature Data Based on an Improved DINEOF Algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8:8, pages 4181-4188.
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Ying Wang, Hong Jiang, Jiaxin Jin, Xiuying Zhang, Xuehe Lu & Yueqi Wang. (2015) Spatial-Temporal Variations of Chlorophyll-a in the Adjacent Sea Area of the Yangtze River Estuary Influenced by Yangtze River Discharge. International Journal of Environmental Research and Public Health 12:5, pages 5420-5438.
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Andrea Corredor‐Acosta, Carmen E. Morales, Samuel Hormazabal, Isabel Andrade & Marco A. Correa‐Ramirez. (2015) Phytoplankton phenology in the coastal upwelling region off central‐southern C hile (35°S–38°S): Time‐space variability, coupling to environmental factors, and sources of uncertainty in the estimates . Journal of Geophysical Research: Oceans 120:2, pages 813-831.
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J.-M. Beckers, A. Barth, I. Tomazic & A. Alvera-Azcárate. (2014) A method to generate fully multi-scale optimal interpolation by combining efficient single process analyses, illustrated by a DINEOF analysis spiced with a local optimal interpolation. Ocean Science 10:5, pages 845-862.
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Andreas Nikolaidis, Stavros Stylianou, Georgios Georgiou, Diofantos Hadjimitsis & Evangelos Akylas. New toolbox in ArcGIS for the reconstruction of missing satellite data using DINEOF algorithm: a case study of reconstruction of Chlorophyll-a gaps over the Mediterranean Sea. New toolbox in ArcGIS for the reconstruction of missing satellite data using DINEOF algorithm: a case study of reconstruction of Chlorophyll-a gaps over the Mediterranean Sea.

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