%0 Journal Article
%T 基于Landsat时序数据的1995~2024年深圳湾红树林空间分布与NDVI时空变化特征研究<br>Characterization of Spatial Distribution and Spatial-Temporal Variation of NDVI of Mangrove Forests in Shenzhen Bay from 1995 to 2024 Based on Landsat Time Series Data
%A 黄明钜
%A 刘大召
%J Adances in Marine Sciences
%P 146-158
%@ 2376-4279
%D 2025
%I Hans Publishing
%R 10.12677/ams.2025.122015
%X 本文使用Mann-Kendall + Theil-Sen联合分析了深圳湾红树林从1995至2024年的NDVI时空变化&#65292;并使用Pearson分析了红树林NDVI的变化与海平面和海表面温度之间的关系。使用Hurst指数联合Theil-Sen分析对红树林NDVI的未来趋势进行了预测。研究表明1995~2024年中国红树林NDVI空间平均值上升了0.21&#65292;线性变化斜率为0.0073。NDVI与海平面高度的Pearson相关系数为0.201&#65292;呈现正相关&#65292;关系不显著。NDVI与海表面温度Pearson相关系数为0.146。预计在未来深圳湾红树林NDVI值呈上升趋势的面积为658.8 ha&#65292;占比89.39%&#65292;呈下降趋势的面积为42.93 ha&#65292;占比5.82%。<br>In this paper, spatial and temporal changes in NDVI of mangrove forests in Shenzhen Bay from 1995 to 2024 were analyzed using Mann-Kendall + Theil-Sen joint analysis, and the relationship between NDVI changes and sea-level and sea-surface temperatures was analyzed using Pearson analysis. The future trend of mangrove NDVI was predicted using the Hurst index combined with Theil-Sen analysis. The study showed that the spatial mean of mangrove NDVI in China increased by 0.21 from 1995 to 2024, with a linear trend slope of 0.0073. The Pearson correlation coefficient between NDVI and sea level height was 0.201, and 0.146 between NDVI and sea surface temperature&#8212;both positive but insignificant. It is projected that NDVI values in the mangrove forests of Shenzhen Bay will continue to increase, with 658.8 ha (89.39%) of the area showing an upward trend and only 42.93 ha (5.82%) showing a downward trend.
%K 红树林&#65292
%K NDVI&#65292
%K Mann-Kendall趋势分析&#65292
%K Theil-Sen斜率&#65292
%K Hurst指数&#65292
%K Person相关性<br>Mangrove
%K NDVI
%K Mann-Kendall Trend Analysis
%K Theil-Sen Slope
%K Hurst Index
%K Person Correlation
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=117493