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High-Spatial-Resolution NDVI Reconstruction with GA-ANN

High-Spatial-Resolution NDVI Reconstruction with GA-ANN

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e828469d69014bed9cf345e25ec19f0c

High-Spatial-Resolution NDVI Reconstruction with GA-ANN

About this item

Full title

High-Spatial-Resolution NDVI Reconstruction with GA-ANN

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2023-02, Vol.23 (4), p.2040

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

The normalized differential vegetation index (NDVI) for Landsat is not continuous on the time scale due to the long revisit period and the influence of clouds and cloud shadows, such that the Landsat NDVI needs to be filled in and reconstructed. This study proposed a method based on the genetic algorithm–artificial neural network (GA-ANN) algorithm...

Alternative Titles

Full title

High-Spatial-Resolution NDVI Reconstruction with GA-ANN

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e828469d69014bed9cf345e25ec19f0c

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e828469d69014bed9cf345e25ec19f0c

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s23042040

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