基于高分六号数据的东海县植被覆盖度分析
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Q948

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江苏省省测绘地理信息局开放(JSCHKY201904);水文水资源与水利工程科学国家重点实验室“一带一路”水与可持续科技基金面上项目(2018491411); 连云港市“海燕计划”人才资助项目( HYJH202021);江苏海洋大学横向课题“高精度DSM数据管理系统建设”(JOUH22339)


Study and analysis of Vegetation Coverage in Donghai County based on GF-6
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    摘要:

    为了对中国连云港市东海县地区植被进行植被覆盖度的研究及分析,本文以高分六号(GF-6)卫星数据为原始数据源,在归一化植被指数(NDVI)和像元二分模型分析方法的传统研究基础上,进一步通过不同置信度法来获取像元二分模型数据中所对应的纯土壤像元(Ssoil)值和纯植被像元(Sveg)值,从而对植被覆盖度进行遥感估测分析。结果表明:(1)植被覆盖度的估测结果对置信度的取值非常敏感,在选取置信度时,应结合数据源的卫星特征、影像特征、地域特征等合理选择,置信度应控制在2%-10%之间;(2)高分六号卫星影像能较好的估测出植被覆盖度,东海县植被覆盖等级主要呈西高东低的空间状态,这也为后续高分六号卫星在林业应用方面提供价值参考。

    Abstract:

    In order to study and analyze vegetation coverage in Donghai County, Lianyungang City, China, GF-6 satellite data was used as the original data source, based on the traditional research of normalized vegetation index (NDVI) and pixel dichotomous model analysis methods, and further obtains the corresponding pure soil pixel (Ssoil) values and pure vegetation pixel (Sveg) values in the pixel dichotomous model data by different confidence methods, so as to estimate and analyze vegetation coverage by remote sensing.The results show that: (1) the estimation result of vegetation coverage is very sensitive to the value of confidence. When selecting the confidence, the reasonable selection of satellite characteristics, image characteristics and regional characteristics of the data source should be controlled between 2% and 10%; (2) Gaofen 6 satellite image can measure the vegetation coverage. The vegetation coverage level of Donghai County is mainly high and low in spatial state, which also provides value reference for the subsequent Gaofen 6 satellite in forestry application.

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钱慧,邱志伟,李俊峰,等. 基于高分六号数据的东海县植被覆盖度分析[J]. 科学技术与工程, 2023, 23(28): 11990-11996.
Qian Hui, Qiu Zhiwei, Li Junfeng, et al. Study and analysis of Vegetation Coverage in Donghai County based on GF-6[J]. Science Technology and Engineering,2023,23(28):11990-11996.

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  • 收稿日期:2022-10-23
  • 最后修改日期:2023-07-07
  • 录用日期:2023-03-20
  • 在线发布日期: 2023-09-28
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