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Evaluation and comparison of hyperspectral imagery for mapping surface symptoms of dryland salinity

机译:评价和比较高光谱影像绘制旱地盐度表面症状的方法

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摘要

Hyperspectral images from three sensors are compared for their ability to discriminate and map selected symptoms of salinity in a dryland agricultural area in southern Australia. Airborne HyMap and satellite Hyperion imagery were acquired in the late dry season to maximize the discrimination of saline soils and perennial, halophytic vegetation, whereas airborne Compact Airborne Spectrographic Imager (CASI) imagery was acquired in late spring to capture senescence of annual, halophytic grasses. The evaluation of imagery included comparisons of spectral resolution, spectral range, spatial resolution and landscape seasonality. Salinity symptoms were also characterized using field spectra collected with an ASD FieldspecPro spectrometer. Image-derived spectra were used to map salinity symptoms using partial spectral unmixing techniques. Salinity symptom maps were compared with independent mapping of soils and salinity from aerial photography and Landsat imagery. Saltpans were discriminated using the gypsum 1750nm absorption feature, whereas full-wavelength image spectra were necessary to map the halophytic plants. HyMap imagery produced the most accurate maps of samphire and saltpans, identifying substantial saline areas covered with samphire that had not been delineated in previous aerial photo-interpretation. The study demonstrates that hyperspectral imagery can improve discrimination of vegetation and mineral indicators of surface salinity and has the potential to improve traditional soil and salinity mapping based on multispectral satellite imagery and aerial photo-interpretation.
机译:比较了来自三个传感器的高光谱图像,以区分和绘制澳大利亚南部干旱地区农业地区盐分选定症状的能力。在干旱后期获取了机载HyMap和卫星Hyperion影像,以最大程度地区分盐渍土壤和多年生盐生植物,而机载紧凑型机载光谱成像仪(CASI)图像是在春末获取的,以捕获一年生盐生草的衰老。图像评估包括光谱分辨率,光谱范围,空间分辨率和景观季节性的比较。盐度症状也通过使用ASD FieldspecPro光谱仪收集的现场光谱来表征。图像光谱用于通过部分光谱解混技术绘制盐度症状。将盐度症状图与通过航空摄影和Landsat影像对土壤和盐度的独立绘图进行比较。使用石膏在1750nm处的吸收特征来区分盐锅,而全波长图像光谱对于绘制盐生植物是必需的。 HyMap影像生成了最准确的汉弗勒犬和盐沼地图,可识别出以前在航拍照片中未画出的大量包含汉弗勒犬的盐渍区域。研究表明,高光谱影像可以改善对植被和地表盐度矿物指标的区分,并有可能改善基于多光谱卫星影像和航空照片解释的传统土壤和盐度制图。

著录项

  • 来源
    《International journal of remote sensing》 |2009年第4期|693-719|共27页
  • 作者单位

    The Cooperative Research Centre for Plant-based Management of Dryland Salinity, The University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia The Department of Water, Land and Biodiversity Conservation, GPO Box 2834, Adelaide, SA 5001, Australia;

    The Cooperative Research Centre for Plant-based Management of Dryland Salinity, The University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia School of Earth and Environmental Sciences, The University of Adelaide, PMB1 Glen Osmond, SA 5064, Australia;

    The Cooperative Research Centre for Plant-based Management of Dryland Salinity, The University of Western Australia, 35 Stirling Hwy, Crawley, WA 6009, Australia School of Earth and Environmental Sciences, The University of Adelaide, PMB1 Glen Osmond, SA 5064, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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