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Spectral reflectance and remote sensing of coral reefs.

机译:珊瑚礁的光谱反射率和遥感。

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摘要

The immediate aim of this dissertation is to investigate spectral reflectance characteristics of, and spectral contrasts between, different classes of coral reef benthos worldwide. Classes include healthy and bleached corals; fleshy brown, green and red algae; non-fleshy calcareous and turf algae; carbonate sand; terrigenous mud; soft/gorgonian corals; and seagrass. I have measured 13,100 reflectance spectra in situ on reefs in the Atlantic, Indian and Pacific Oceans, representing the world's major coral reef biogeographic regions.; Two healthy coral types and the ten other reef classes exhibit characteristic and distinct spectral reflectance features that are conservative across biogeographic regions, and their distinguishing spectral features exist in narrow wavelength ranges (10–20 nm). Classification function analyses for the twelve community-types achieve mean accuracies of 83%, 76% and 71% for full-visible-spectrum data (301-wavelength), 52-wavelength, and 14-wavelength subsets, respectively. Radiative transfer modeling shows that in typically clear coral reef waters, low-albedo substrates such as corals have a depth-of-detection limit on the order of 10–20 m.; Healthy reef-building corals exhibit two basic modes of spectral reflectance at visible wavelengths. (1) The brown mode has characteristic positive reflectance features near 575, 605 and 650 nm which arise solely through absorption of light by zooxanthellae. (2) The blue mode lacks the positive 575 nm feature and often exhibits a negative feature near 580 nm, which is due to absorption by coral-host pigments. Other coral-host pigments produce second-order modifications to the basic reflectance shapes.; Analyses of simulated reflectance spectra for seven remote sensors (AAHIS, AVIRIS, Proto, CRESPO, Ikonos, Landsat-ETM+, SPOT-HRV) indicate that hyperspectral and narrowband multispectral sensors (with wavebands optimized for reef mapping) classify coral, algae and sand at higher accuracies (91–98%) than do broadband multispectral sensors (50–64%). The hyperspectral and narrowband multispectral sensors also have the ability to discriminate between coral and algae across many levels of linearly mixed spectra, while the broadband multispectral sensors do not.; This dissertation demonstrates that basic reef benthic classes are spectrally identifiable and differentiable. These results establish the basis for the ultimate goal of developing remote sensing technology and methodology for scientific study of coral reef ecosystems.
机译:本文的直接目的是研究全世界不同种类的珊瑚礁底栖生物的光谱反射特性和光谱对比。种类包括健康和漂白的珊瑚;肉质的棕色,绿色和红色藻类;非肉质钙质和草皮藻类;碳酸盐砂泥浆软/高角珊瑚;和海草。我已经在代表世界主要珊瑚礁生物地理区域的大西洋,印度洋和太平洋上的珊瑚礁上实测了13,100个反射光谱。两种健康的珊瑚类型和其他十种珊瑚礁类别在整个生物地理区域都具有保守的特征和独特的光谱反射特征,并且它们的独特光谱特征存在于狭窄的波长范围(10-20 nm)中。对于十二种群落类型的分类函数分析,全可见光谱数据(301波长),52波长和14波长子集的平均准确度分别为83%,76%和71%。辐射传递模型表明,在通常晴朗的珊瑚礁水域中,诸如珊瑚之类的低反照率底物的探测深度极限约为10-20 m。健康的造礁珊瑚在可见波长处表现出两种基本的光谱反射率模式。 (1)棕色模式在575、605和650 nm附近具有正反射特性,这仅是由于虫黄藻对光的吸收而产生的。 (2)蓝色模式缺乏575 nm的正特征,而通常在580 nm附近表现出负的特征,这是由于珊瑚宿主色素的吸收所致。其他珊瑚主体颜料会对基本反射率形状产生二阶修饰。对七个遥感器(AAHIS,AVIRIS,Proto,CRESPO,Ikonos,Landsat-ETM +,SPOT-HRV)的模拟反射光谱的分析表明,高光谱和窄带多光谱传感器(具有针对礁石制图进行了优化的波段)可将珊瑚,藻类和沙子分类为比宽带多光谱传感器(50-64%)具有更高的准确性(91-98%)。高光谱和窄带多光谱传感器还具有在许多水平的线性混合光谱中区分珊瑚和藻类的能力,而宽带多光谱传感器则没有。本文证明了基本的礁底栖类在光谱上是可识别的和可区分的。这些结果为开发遥感技术和方法进行珊瑚礁生态系统科学研究的最终目标奠定了基础。

著录项

  • 作者

    Hochberg, Eric Jeremy.;

  • 作者单位

    University of Hawai'i.;

  • 授予单位 University of Hawai'i.;
  • 学科 Biology Oceanography.; Biology Ecology.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 p.2742
  • 总页数 151
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 海洋生物;
  • 关键词

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