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        <datestamp>2026-09-30T05:26:32Z</datestamp>
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          <dc:title>Spatiotemporal dynamics of vegetation greenness and its climatic associations in Harbin based on kernel NDVI</dc:title>
          <dc:creator>Yuguang Li (1931245)</dc:creator>
          <dc:creator>Lijuan Gong (18266826)</dc:creator>
          <dc:creator>Shuang Wu (148427)</dc:creator>
          <dc:creator>Yuhan Jiang (6424001)</dc:creator>
          <dc:creator>Huan Zhang (220065)</dc:creator>
          <dc:subject>Environmental Sciences not elsewhere classified</dc:subject>
          <dc:subject>Ecology</dc:subject>
          <dc:subject>Sociology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Inorganic Chemistry</dc:subject>
          <dc:subject>Plant Biology</dc:subject>
          <dc:subject>kNDVI</dc:subject>
          <dc:subject>vegetation greenness</dc:subject>
          <dc:subject>high-latitude temperate continental-monsoon regions</dc:subject>
          <dc:subject>landsat time series</dc:subject>
          <dc:description>&lt;p&gt;Long-term vegetation greenness dynamics provide important evidence of ecosystem responses to climatic variability in high-latitude temperate regions. 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. 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.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-30T05:26:32Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.34030023.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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