首页> 外文期刊>Remote sensing letters >Hyperspectral remote sensing of salinity stress on red (Rhizophora mangle) and white (Laguncularia racemosa) mangroves on Galapagos Islands
【24h】

Hyperspectral remote sensing of salinity stress on red (Rhizophora mangle) and white (Laguncularia racemosa) mangroves on Galapagos Islands

机译:加拉帕戈斯群岛上红(红根菌)和白(红花树)红树林盐分胁迫的高光谱遥感

获取原文
获取原文并翻译 | 示例
           

摘要

Mangroves are an assemblage of salt-tolerant woody hydrophytes that are the foundational species along tropical and subtropical coastlines, estuaries, lagoons and rivers. Once covering 75% of the world's tropical and subtropical coastlines, mangrove forests have been declining rapidly throughout the world in the last few decades. Monitoring and modelling mangrove forest growth are critical for their conservation. Salinity is one of the primary limiting factors for mangrove forest growth. In this letter, we report the potential of using hyperspectral remotely sensed data collected in the field for monitoring the photosynthesis rate of red {Rhizophora mangle) and white {Laguncularia racemosa) mangroves with regard to salinity gradient. Using photochemical reflectance index (PRI) as proxy for photo-synthetic rate, PRI for both species are strongly related to salinity gradient, indicating the potential of monitoring mangrove forest growth on a regional scale using hyperspectral remote sensing.
机译:红树林是耐盐的木质水生植物的集合,它们是热带和亚热带海岸线,河口,泻湖和河流沿岸的基础物种。红树林曾经覆盖了世界75%的热带和亚热带海岸线,但在过去的几十年中,它在世界范围内迅速下降。监测和建模红树林的生长对于其保护至关重要。盐度是红树林生长的主要限制因素之一。在这封信中,我们报告了在盐度梯度方面使用野外收集的高光谱遥感数据监测红(红根茎)和白(红景天)红树林的光合作用率的潜力。使用光化学反射指数(PRI)表示光合速率,这两个物种的PRI与盐度梯度密切相关,表明使用高光谱遥感在区域范围内监测红树林生长的潜力。

著录项

  • 来源
    《Remote sensing letters》 |2011年第3期|p.221-230|共10页
  • 作者单位

    Department of Geography, University of North Carolina, Chapel Hill, NC 27599, USA;

    Department of Marine Sciences, University of North Carolina, Chapel Hill,NC 28599, USA;

    Department of Geography, University of North Carolina, Chapel Hill, NC 27599, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号