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Data · dataset · 2022

2021 Land use classification data set of typical urban core areas in Northern China

Listed in ScienceDB

The high-resolution satellite remote sensing images of the core built-up areas of the four typical cities in northern China, Handan, Shijiazhuang, Tangshan and Xingtai of Hebei Province, are the data sets.

Description

The land use classification data sets of the core areas of typical cities in northern China are established by combining visual interpretation and interactive interpretation using the convolutional neural network framework EfficientNet V2.

It can provide basic data for land use classification and extraction.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65% · Satellite remote sensing 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.0682111 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:computer-science-aimapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
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%)
concepts[modality].local:modality:remote-sensingenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
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