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Application of HyMap Image in the Environmental Survey in Shenzhen, China

机译:HyMap影像在中国深圳环境调查中的应用

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摘要

Hyperspectral HyMap image with synchronous in-situ spectral data were used to survey the environmental condition in Shenzhen of South China. HyMap image was measured with 3.5m spatial resolution and 15nm spectral resolution from 0.44μm-2.5μm and corrected with Modtran5 model and synchronous solar illuminance and atmospheric visibility to the ground. The spectra of rocks, soils, water and vegetation were obtained by ASD spectrometer in reflectance. Both the fresh granite and eroded sandy soil was found with absorption at 2200nm± in-situ spectra, but the weathered granite and sandy soil have another absorption at 880nm~940 nm. Polluted water with high ammonia nitrogen and phosphorous and BOD_5 get the strongest reflectance at 550 ~570nm, while polluted water of high COD_(cr) and heavy metal ions content get the peak reflectance at 450~490nm. The in-situ spectra was resampled in wavelength range and spectral resolution to that of Hymap sensor for image classification with SAM algorithm, the unpaved granite among cement the paved mine pits , the newly excavated land surface and the eroded soil was mapped out with the accuracy over 95%. We also discriminate the artificial forest from the natural with the spectral endmember extracted from the image.
机译:使用具有同步原位光谱数据的高光谱HyMap图像来调查华南深圳的环境状况。 HyMap图像是在0.44μm-2.5μm的空间中以3.5m的空间分辨率和15nm的光谱分辨率进行测量的,并使用Modtran5模型,同步太阳照度和大气对地面的可见度进行校正。利用ASD光谱仪获得了岩石,土壤,水和植被的光谱反射率。新鲜花岗岩和侵蚀的沙土均在2200nm±原位光谱处吸收,而风化的花岗岩和沙土在880nm〜940nm处又有吸收。氨氮,磷和BOD_5高的污水在550〜570nm处具有最强的反射率,而COD_(cr)和重金属离子含量高的污水在450〜490nm处具有峰值的反射率。用SAM算法在波长范围和光谱分辨率上对Hymap传感器的原位光谱进行重新采样,以进行图像分类,准确绘制出水泥层,未铺砌的花岗岩,铺筑的矿坑,新开挖的地表和侵蚀土壤的图样。超过95%。我们还从图像中提取了光谱末端成员,从而将人工森林与自然区域区分开来。

著录项

  • 来源
  • 会议地点 Warsaw(PL)
  • 作者单位

    National Key Laboratory of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China;

    The College of Urban and Environmental Sciences at Peking University, Beijing 100083, China;

    National Key Laboratory of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China;

    National Key Laboratory of Remote Sensing Information and Image Analysis Technology, Beijing Research Institute of Uranium Geology, Beijing 100029, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hyperspectral; granite and soil mapping; water pollution; planted forest; SAM;

    机译:高光谱;花岗岩和土壤图;水污染;人工林SAM;

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