【摘要】 本文以盐城滨海湿地部分区域为研究区，利用无人机多光谱激光雷达融合技术提取互花米草（Spartina alterniflora）不同物候期的冠层高度、植被指数、覆盖度和倒伏率等长势参数，计算冠层高度与植被指数及其他参数的相关系数并构建了回归模型。结果表明：（1）枯萎期至成熟期的冠层高度逐渐增加，自海向陆的冠层高度整体逐渐减小；枯萎期至开花期的归一化植被指数（normalized difference vegetation index,NDVI）逐渐增加，成熟期的NDVI减小，自海向陆的NDVI整体逐渐减小。（2）非枯萎期的冠层高度与植被指数、覆盖度、倒伏率和空间位置显著相关。（3）冠层高度与植被指数分布存在空间异质性，地理加权回归（geographically weighted regression,GWR）在模型精度和空间异质性分析上均优于普通最小二乘回归（ordinary least square,OLS）。更多还原

【Abstract】 With some areas of Yancheng coastal wetland as the study area, the canopy height, vegetation index,coverage and lodging rate of Spartina alterniflora were extracted by UAV multi-spectral lidar fusion technology in different phenological periods. The temporal and spatial variation characteristics of canopy height and vegetation index were analyzed, and the correlation coefficients between canopy height and vegetation index and other parameters were calculated. Three regression models were constructed. The results show that:(1) The canopy height of Spartina alterniflora gradually increased from withering stage to mature stage, and the canopy height gradually decreased as a whole from sea to land. The NDVI gradually increased from the wilting period to the flowering period, while the NDVI decreased in mature stage, and the NDVI gradually decreased from sea to land.(2) The canopy height was significantly correlated with vegetation index, coverage, lodging rate and spatial position in non-withering period.(3) There was spatial heterogeneity in the distribution of canopy height and vegetation index of Spartina alterniflora, and GWR was superior to OLS in model accuracy and spatial heterogeneity analysis.更多还原