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Data · dataset · 2025

Zhanjiang Anpu Port 2022 Mangrove Classification Dataset

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Based on Sentinel-1/2 image data, coupled with multi-source remote sensing image features and ensemble learning algorithms, spectral index features, radar polarization features, and temporal harmonic spectral features are used to classify mangrove tree species in Zhanjiang Mangrove National Nature Reserve.

Description

The dataset is set in 2022 (validated by UAV LiDAR data), with a spatial resolution of 10m, an overall accuracy of 88.03%, and a Kappa coefficient of 0.86.

Among them, labels 0-5 represent 0-Magnolia, 1-Avicennia, 2-Paulownia, 3-Sapindaceae, 4-Red Magnolia, and 5 Background respectively. 

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3133311 d agoJSON v1
FieldAssertionExtractorEvidence
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