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Data · dataset · 2026

GDTM-0.9 m

Listed in ScienceDB

We developed a high-resolution (0.9 m) terrace map of Guangdong Province using a locally deployed deep learning model integrated with slope–area denoising techniques.

Description

The map achieved a pixel-level producer’s accuracy of 80.38 %, significantly outperforming existing 30 m and 10 m terrace datasets in the region.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Applied computing 72%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00240.0010811 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4601enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (72%)
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
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title