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Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images wit...

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images wit...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_10095020_2022_2100287

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

About this item

Full title

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

Publisher

Wuhan: Taylor & Francis

Journal title

Geo-spatial information science, 2023-07, Vol.26 (3), p.302-320

Language

English

Formats

Publication information

Publisher

Wuhan: Taylor & Francis

More information

Scope and Contents

Contents

Mapping and monitoring the distribution of croplands and crop types support policymakers and international organizations by reducing the risks to food security, notably from climate change and, for that purpose, remote sensing is routinely used. However, identifying specific crop types, cropland, and cropping patterns using space-based observations...

Alternative Titles

Full title

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1080_10095020_2022_2100287

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1080_10095020_2022_2100287

Other Identifiers

ISSN

1009-5020

E-ISSN

1993-5153

DOI

10.1080/10095020.2022.2100287

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