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Data · dataset · 2023

A dataset of land surface water with a spatial resolution of 30 meters on the Qinghai-Tibet Plateau in 2022

Listed in ScienceDB

The Tibetan Plateau is known as the Asian Water Tower, and the change in its surface water distribution is a vital parameter in the water cycle and water balance.

Description

Based on collecting high-precision land surface water samples, the random forest classification algorithm in machine learning is used to extract land surface water information from Landsat series satellite images, and produce land surface water product with a resolution of 30 meters on the Tibetan Plateau in 2022.

This dataset can provide foundational data support for water resource management, ecosystem services, and global change research in the Tibetan Plateau.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Hydrology 73% · Image 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.0693712 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
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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
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