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Data · dataset · 2019

A dataset of impervious surface in Sanya City from 2004 to 2015

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Impervious surface is one of the most basic components of a city which has a significant impact on urban ecological environment and regional development.

Description

Remote sensing has been widely used in impervious surface research in recent years due to its fast, large-scale, multi-scale and reproducible ground observation advantages. Taking Sanya city as the research area, this study selected and collected the Landsat series remote sensing image data of 2004, 2008, 2011, 2013 and 2015 in this area.

A method combining BCI index and BI index is proposed to extract the impervious surface information in the study area. Based on this method, the impervious surface distribution maps of the five phases of Sanya City in 2004, 2008, 2011, 2013 and 2015 were obtained. Precision verification using Google Earth images which have high accuracy.

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It was concluded that this method is operability, simple and easy operation,the highest precision is over 90%. This dataset can provide reference for the rational planning of “sponge city” in Hainan Province or other provinces and cities.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Hydrology 68% · Image 75% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.72112 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:3707enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (68%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
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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 (75%)
concepts[modality].local:modality:remote-sensingenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (65%)
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