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基于GF-1 WFV影像的黄河口湿地植被盖度估测及分析

王建步 张杰 马毅 任广波

王建步, 张杰, 马毅, 任广波. 基于GF-1 WFV影像的黄河口湿地植被盖度估测及分析[J]. 海洋学报, 2018, 40(6): 40-50. doi: 10.3969/j.issn.0253-4193.2018.06.004
引用本文: 王建步, 张杰, 马毅, 任广波. 基于GF-1 WFV影像的黄河口湿地植被盖度估测及分析[J]. 海洋学报, 2018, 40(6): 40-50. doi: 10.3969/j.issn.0253-4193.2018.06.004
Wang Jianbu, Zhang Jie, Ma Yi, Ren Guangbo. Vegetation fraction coverage estimation and analysis of the Yellow River Estuary wetland based on GF-1 WFV satellite image[J]. Haiyang Xuebao, 2018, 40(6): 40-50. doi: 10.3969/j.issn.0253-4193.2018.06.004
Citation: Wang Jianbu, Zhang Jie, Ma Yi, Ren Guangbo. Vegetation fraction coverage estimation and analysis of the Yellow River Estuary wetland based on GF-1 WFV satellite image[J]. Haiyang Xuebao, 2018, 40(6): 40-50. doi: 10.3969/j.issn.0253-4193.2018.06.004

基于GF-1 WFV影像的黄河口湿地植被盖度估测及分析

doi: 10.3969/j.issn.0253-4193.2018.06.004
基金项目: 海洋公益性行业科研专项经费项目(201205008-01);高分海岸带遥感监测与应用示范项目。

Vegetation fraction coverage estimation and analysis of the Yellow River Estuary wetland based on GF-1 WFV satellite image

  • 摘要: 植被盖度是植被生长状况的重要定量指标,而目前开展的植被盖度遥感估测工作主要集中在陆地区域,对河口湿地植被盖度遥感估测工作比较少见。本文基于国产GF-1 WFV遥感影像开展了黄河口湿地植被盖度估算,并结合植被类型、土壤盐度和植被指数分布状况开展了植被盖度分布特征分析,得到如下结论:(1)基于GF-1 WFV卫星影像的NDVI、SRI、SAVI、MSAVI和DVI 5种植被指数,分别建立植被盖度估测模型,其中基于NDVI、SRI、MSAVI和DVI 4种植被指数建立的多变量线性回归模型估测精度最好,其决定系数(R2)最大,为0.904,均方根误差RMSE最小,为0.14;(2)植被盖度估算模型的精度与植被盖度本身有一定的关系,其中各植被盖度回归模型中,盖度大于0.8时估算精度要优于盖度小于0.6的区域,RMSE最大相差0.04;(3)以潮滩碱蓬和潮滩芦苇为主的植被覆盖区属于低植被盖度区,盖度位于0.03~0.5,盐度在1.5 g/L左右;芦苇草甸、互花米草和柽柳灌丛植被覆盖区属于高植被盖度区,盖度位于0.8~1.0,其中芦苇草甸土壤盐度小于1.2 g/L,柽柳灌丛土壤盐度在1.4~2.0 g/L,在高盖度植被区混生有中等盖度的植被,盖度在0.5~0.8,土壤盐度在1.8 g/L左右。
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出版历程
  • 收稿日期:  2017-09-15
  • 修回日期:  2017-10-16

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