| 基于HY-1C卫星CZI数据的红树林长势遥感监测 |
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| 引用本文： | 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. |
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| 作者姓名： | 邹亚荣 刘建强 梁超 朱海天 |
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| 作者单位： | 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 |
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| 基金项目： | 国家重点研发计划项目资助(2018YFB0505001) |
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| 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。
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| 关 键 词： | HY-1CCZI 红树林 植被指数 遥感监测 |
| 收稿时间： | 2019-01-08 |
Monitoring of mangrove growth using HY-1C Satellite CZI data based on remote sensing |
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| 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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| Authors: | ZOU Yarong LIU Jianqiang LIANG Chao ZHU Haitian |
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| Institution: | 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 |
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| 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. |
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| Keywords: | HY-1C CZI mangrove vegetation index remote sensing monitoring |
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