基于HY-1C卫星CZI数据的红树林长势遥感监测

doi:10.3969/j.issn.1001-909X.2020.01.008

海洋学研究 ›› 2020, Vol. 38 ›› Issue (1): 68-76.DOI: 10.3969/j.issn.1001-909X.2020.01.008

基于HY-1C卫星CZI数据的红树林长势遥感监测

邹亚荣^1,2, 刘建强^1,2, 梁超^1,2, 朱海天^1,2

1.自然资源部国家卫星海洋应用中心, 北京 100081;
2.自然资源部空间海洋遥感与应用研究重点实验室, 北京 100081

收稿日期:2019-01-08 出版日期:2020-03-15 发布日期:2022-11-14
作者简介:邹亚荣(1967-),男,江西省南昌市人,博士,研究员,主要从事海洋遥感应用研究。E-mail:zyr@mail.nsoas.org.cn
基金资助:
国家重点研发计划项目资助(2018YFB0505001)

Monitoring of mangrove growth using HY-1C Satellite CZI data based on remote sensing

ZOU Yarong^1,2, LIU Jianqiang^1,2, LIANG Chao^1,2, ZHU Haitian^1,2

1. National Satellite Ocean Application Services, Ministry of Natural Resources, Beijing 100081, China;
2. Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China

Received:2019-01-08 Online:2020-03-15 Published:2022-11-14

摘要/Abstract

摘要： 红树林是一种以耐盐的红树植物为主体的潮滩湿地林生物群落,其生长状态对于海岸带具有重要意义,利用遥感技术对红树林进行监测已成为目前主要手段之一。本文以广西北海山口红树林为例,利用HY-1C卫星的海岸带成像仪数据,结合其纹理参数,提取红树林信息,并对红树林植被指数进行分析。结果表明:2018年10月至11月间,红树林的RVI值均大于1,其中部分区域大于5;红树林的NDVI值的变化处于0~0.01之间,NDVI均值都大于0.5;红树林的EVI指数值主要集中在0.2~0.7之间。不同的植被指数计算结果均表明山口红树林长势良好。

关键词: HY-1C CZI, 红树林, 植被指数, 遥感监测

Abstract: Mangrove is a kind of biological coast composed of salt tolerant mangrove plant communities. Its growth status is of great significance to the coastal zone. Remote sensing technology has become one of the main means for mangrove monitoring. In this study, taking the mangrove in Shankou, Beihai of Guangxi as an example, using the coastal zone imager data of HY-1C satellite, combined with its texture parameters, the mangrove information was extracted, and the mangrove vegetation indexes were analyzed. The results showed that from October to November 2018, the RVI value of mangroves was greater than 1, and this in some areas was greater than 5; the NDVI value of mangroves varied from 0 to 0.01, and the average value was greater than 0.5; the EVI value of mangroves was mainly concentrated between 0.2 and 0.7. The results of different vegetation indexes showed that mangrove in Shankou grew well.

Key words: HY-1C CZI, mangrove, vegetation index, remote sensing monitoring

中图分类号:

S771

邹亚荣, 刘建强, 梁超, 朱海天. 基于HY-1C卫星CZI数据的红树林长势遥感监测[J]. 海洋学研究, 2020, 38(1): 68-76.

ZOU Yarong, LIU Jianqiang, LIANG Chao, ZHU Haitian. Monitoring of mangrove growth using HY-1C Satellite CZI data based on remote sensing[J]. Journal of Marine Sciences, 2020, 38(1): 68-76.

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基于HY-1C卫星CZI数据的红树林长势遥感监测

Monitoring of mangrove growth using HY-1C Satellite CZI data based on remote sensing

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