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Data · dataset · 2025

A dataset of mangrove forests distribution in Leizhou Peninsula during 2019-2023

Listed in ScienceDB

This dataset uses Sentinel-2 constellation cloud free images, extracts coastal buffer zones, selects suitable scale segmentation images, and uses object-oriented random forest method to classify and extract mangrove forests shapefiles.

Description

Finally, threshold optimization is performed and organized. The dataset includes shapefiles of mangrove forests in nine districts and counties of Leizhou Peninsula in 2019, 2021, and 2023.

The file naming format is "district name+mangroves_year", using the WGS_1984_UTM coordinate system, with a spatial resolution of 10 meters, and totaling 61MB of data volume.

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Catalogue records · 1

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Inferred from text
Image 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00001.0118412 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
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concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:imageenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title