首页> 外文期刊>Remote sensing letters >Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands
【24h】

Suitability of hyperspectral data for monitoring nitrogen and phosphorus content in constructed wetlands

机译:高光谱数据监测构造湿地中氮和磷含量的高光谱数据

获取原文
获取原文并翻译 | 示例
       

摘要

The nitrogen and phosphorus content in water and sediment is an important index for evaluating the nutritional status of wetland ecosystems. This study used an inversion model to assess the total nitrogen (TN) and total phosphorus (TP) content of constructed wetland using the canopy spectral reflectance data of four wetland plants. And then determine their relative suitability as a remotely sensed environmental monitoring tool. For water, the coefficient of determination (R-2) of floating plants (up to 0.92) was higher than that of emergent plants (up to 0.82). For sediment, the R-2 of TN inversion for S. natans was 0.59 and that of TP inversion for L. minor was 0.52, suggesting that floating plant canopy spectral reflectance data are more useful for assessing water directly, while indicators for the sedimentary environment can be assessed using emergent plants. Overall, the results clearly show that it is feasible to estimate water and sediment TN and TP content using plant canopy spectral reflectance data, providing the basis for widespread, rapid, and reliable monitoring of wetland ecosystem health via hyperspectral remote sensing. This study provides a reference for the timely development of further wetland restoration and protection measures.
机译:水和沉积物中的氮和磷含量是评估湿地生态系统的营养状况的重要指标。该研究使用了反演模型来使用四种湿地植物的冠层光谱反射数据来评估构造湿地的总氮(TN)和总磷(TP)含量。然后确定它们作为远程感测的环境监测工具的相对适用性。对于水,浮植物(高达0.92)的测定系数(R-2)高于紧急植物(高达0.82)。对于沉淀物,S. Nat体的TN逆转的R-2为0.59,L. minor的TP反转为0.52,表明浮动植物冠层谱反射数据对于直接评估水更有用,而沉积环境的指标更有用。可以使用紧急植物进行评估。总体而言,结果清楚地表明,使用植物冠层光谱反射数据估计水和沉积物TN和TP含量是可行的,通过高光谱遥感,为湿地生态系统健康的广泛,快速和可靠监测提供基础。本研究为及时开发进一步湿地修复和保护措施提供了参考。

著录项

  • 来源
    《Remote sensing letters》 |2020年第6期|495-504|共10页
  • 作者单位

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Beijing Shunyi Dist Hanshiqiao Wetland Nat Reserv Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

    Chinese Acad Forestry Inst Wetland Res Beijing Peoples R China|Beijing Key Lab Wetland Serv & Restorat Beijing Peoples R China|Beijing Hanshiqiao Natl Wetland EcoSyst Res Stn Beijing Peoples R China;

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

  • 入库时间 2022-08-18 21:31:34

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