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Structure · dataset · 2026

Spatiotemporal dynamics of vegetation greenness and its climatic associations in Harbin based on kernel NDVI

Listed in ZivaHub and Deakin Research Online — shown once because both records carry DOI 10.6084/m9.figshare.34030023.v1

<p>Long-term vegetation greenness dynamics provide important evidence of ecosystem responses to climatic variability in high-latitude temperate regions.

Description

This study analyzed vegetation greenness in Harbin, Northeast China, from 2000 to 2024 using annual maximum kernel Normalized Difference Vegetation Index (kNDVI) derived from Landsat imagery. Long-term trends were assessed using Theil-Sen slope estimation and the Mann-Kendall test, with the Pettitt test used to detect temporal changes.

Pixel-wise multiple linear regression with standardized climatic predictors was used to examine climatic associations. Regional median kNDVI increased from 0.56 to 0.61, with a significant change point in 2004. Significant increases and decreases accounted for 3.52% and 0.50% of the study area, respectively.

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Precipitation was the dominant climatic variable across 83.66% of the area, followed by temperature (13.68%), potential evapotranspiration (1.66%), and solar radiation (1.01%). Overall, Harbin showed widespread greening with spatially heterogeneous climatic associations.</p>

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Provenance · 2 source records, 21 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3403002312 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3403002312 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:3108mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Plant Biology']
concepts[field].anzsrc:group:3108mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Plant Biology']
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concepts[field].anzsrc:group:3402mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Inorganic Chemistry']
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