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Sensitivity of clay content prediction to spectral configuration of VNIR/SWIR imaging data, from multispectral to hyperspectral scenarios
Remote Sensing of Environment ( IF 13.5 ) Pub Date : 2018-01-01 , DOI: 10.1016/j.rse.2017.10.047 C. Gomez , K. Adeline , S. Bacha , B. Driessen , N. Gorretta , P. Lagacherie , J.M. Roger , X. Briottet
Remote Sensing of Environment ( IF 13.5 ) Pub Date : 2018-01-01 , DOI: 10.1016/j.rse.2017.10.047 C. Gomez , K. Adeline , S. Bacha , B. Driessen , N. Gorretta , P. Lagacherie , J.M. Roger , X. Briottet
Abstract The use of digital soil mapping, with the help of spectroscopic data, provides a non-destructive and cost-efficient alternative to soil property laboratory measurements. Visible, near-infrared and short wave infrared (VNIR/SWIR, 400–2500 nm) hyperspectral imaging is one of the most promising tools for topsoil property mapping. The aim of this study was to test the sensitivity of soil property prediction results to coarsening image spectral resolution. This may offer an analysis of the potential of forthcoming hyperspectral satellite sensors, e.g., HYPerspectral X IMagery (HYPXIM) or Environmental Mapping and Analysis Program (EnMAP), and existing multispectral sensors, e.g., SENTINEL-2 Multispectral Sensor Instrument (MSI) or LANDSAT-8 Operational Land Imager (OLI), for soil properties mapping. This study used VNIR/SWIR hyperspectral airborne data acquired by the AISA-DUAL sensor (initial spectral and spatial resolutions of approximately 5 nm and 5 m, respectively) over a 300 km2 Mediterranean rural region. Ten spectral configurations were built and divided in the following two groups: i) six spectral configurations corresponding to simulated sensors with regular spectral resolution from 5 nm to 200 nm (i.e., the Full Width at Half Maximum (FWHM) remains constant throughout the considered spectral domain; this includes the simulation of the forthcoming HYPXIM and EnMAP hyperspectral satellites) and ii) four spectral configurations corresponding to existing multispectral sensors with irregular spectral resolution (i.e., the FWHM differs from spectral sampling interval; Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), SENTINEL-2 MSI, LANDSAT-7 Enhanced Thematic Mapper (ETM +) and LANDSAT-8 OLI). The soil property studied in this paper is the clay content, defined as the percentage of granulometric fraction finer than 2 μm by weight of the soil, which will be estimated using the partial least squares regression method. Our results showed that i) spectral configurations with regular spectral resolutions from 5 to 100 nm provided similar and good clay content prediction performances (R2val > 0.7 and RPIQ > 3) and allowed clay mapping with correct short-scale variations, ii) the spectral configuration with a regular spectral resolution of 200 nm provided unsatisfactory clay content prediction performance (R2val ≃ 0.01 and RPIQ ≃ 1.65) and iii) the ASTER sensor was the only existing multispectral sensor that provided both correct performance of clay content estimation (R2val ≃ 0.8 and RPIQ ≃ 3.72) and correct clay mapping. Therefore, clay mapping by the ASTER multispectral data should be pursued while awaiting the launch of forthcoming hyperspectral satellite sensors (e.g., HYPXIM and EnMAP), which will be good candidates for future large clay mapping campaigns over bare soils.
中文翻译:
粘土含量预测对 VNIR/SWIR 成像数据光谱配置的敏感性,从多光谱到高光谱场景
摘要 在光谱数据的帮助下,数字土壤绘图的使用为土壤性质实验室测量提供了一种非破坏性且具有成本效益的替代方法。可见光、近红外和短波红外(VNIR/SWIR,400-2500 nm)高光谱成像是最有前途的表土特性绘图工具之一。本研究的目的是测试土壤性质预测结果对粗化图像光谱分辨率的敏感性。这可以分析即将推出的高光谱卫星传感器的潜力,例如 HYPerspectral X IMagery (HYPXIM) 或环境测绘和分析程序 (EnMAP),以及现有的多光谱传感器,例如 SENTINEL-2 多光谱传感器仪器 (MSI) 或 LANDSAT -8 操作土地成像仪 (OLI),用于土壤特性绘图。本研究使用了 AISA-DUAL 传感器(初始光谱和空间分辨率分别约为 5 nm 和 5 m)在 300 平方公里的地中海农村地区获取的 VNIR/SWIR 高光谱机载数据。构建了十种光谱配置并将其分为以下两组:i) 对应于模拟传感器的六种光谱配置,具有从 5 nm 到 200 nm 的常规光谱分辨率(即,半高全宽 (FWHM) 在整个考虑的光谱中保持不变)域;这包括对即将到来的 HYPXIM 和 EnMAP 高光谱卫星的模拟)和 ii) 对应于具有不规则光谱分辨率的现有多光谱传感器的四种光谱配置(即 FWHM 不同于光谱采样间隔;先进的星载热发射和反射辐射计 (ASTER)、SENTINEL-2 MSI、LANDSAT-7 增强型专题测绘仪 (ETM +) 和 LANDSAT-8 OLI)。本文研究的土壤性质是粘土含量,定义为按土壤重量计小于 2 μm 的粒度部分的百分比,将使用偏最小二乘回归方法进行估计。我们的结果表明 i) 具有从 5 到 100 nm 的常规光谱分辨率的光谱配置提供了相似且良好的粘土含量预测性能(R2val > 0.7 和 RPIQ > 3),并允许以正确的短尺度变化进行粘土映射,ii) 光谱配置200 nm 的常规光谱分辨率提供了不令人满意的粘土含量预测性能(R2val ≃ 0.01 和 RPIQ ≃ 1。65) 和 iii) ASTER 传感器是唯一现有的多光谱传感器,它提供正确的粘土含量估计性能(R2val ≃ 0.8 和 RPIQ ≃ 3.72)和正确的粘土映射。因此,在等待即将推出的高光谱卫星传感器(例如 HYPXIM 和 EnMAP)的同时,应继续使用 ASTER 多光谱数据进行粘土制图,这将是未来在裸土上进行大型粘土制图活动的良好候选者。
更新日期:2018-01-01
中文翻译:
粘土含量预测对 VNIR/SWIR 成像数据光谱配置的敏感性,从多光谱到高光谱场景
摘要 在光谱数据的帮助下,数字土壤绘图的使用为土壤性质实验室测量提供了一种非破坏性且具有成本效益的替代方法。可见光、近红外和短波红外(VNIR/SWIR,400-2500 nm)高光谱成像是最有前途的表土特性绘图工具之一。本研究的目的是测试土壤性质预测结果对粗化图像光谱分辨率的敏感性。这可以分析即将推出的高光谱卫星传感器的潜力,例如 HYPerspectral X IMagery (HYPXIM) 或环境测绘和分析程序 (EnMAP),以及现有的多光谱传感器,例如 SENTINEL-2 多光谱传感器仪器 (MSI) 或 LANDSAT -8 操作土地成像仪 (OLI),用于土壤特性绘图。本研究使用了 AISA-DUAL 传感器(初始光谱和空间分辨率分别约为 5 nm 和 5 m)在 300 平方公里的地中海农村地区获取的 VNIR/SWIR 高光谱机载数据。构建了十种光谱配置并将其分为以下两组:i) 对应于模拟传感器的六种光谱配置,具有从 5 nm 到 200 nm 的常规光谱分辨率(即,半高全宽 (FWHM) 在整个考虑的光谱中保持不变)域;这包括对即将到来的 HYPXIM 和 EnMAP 高光谱卫星的模拟)和 ii) 对应于具有不规则光谱分辨率的现有多光谱传感器的四种光谱配置(即 FWHM 不同于光谱采样间隔;先进的星载热发射和反射辐射计 (ASTER)、SENTINEL-2 MSI、LANDSAT-7 增强型专题测绘仪 (ETM +) 和 LANDSAT-8 OLI)。本文研究的土壤性质是粘土含量,定义为按土壤重量计小于 2 μm 的粒度部分的百分比,将使用偏最小二乘回归方法进行估计。我们的结果表明 i) 具有从 5 到 100 nm 的常规光谱分辨率的光谱配置提供了相似且良好的粘土含量预测性能(R2val > 0.7 和 RPIQ > 3),并允许以正确的短尺度变化进行粘土映射,ii) 光谱配置200 nm 的常规光谱分辨率提供了不令人满意的粘土含量预测性能(R2val ≃ 0.01 和 RPIQ ≃ 1。65) 和 iii) ASTER 传感器是唯一现有的多光谱传感器,它提供正确的粘土含量估计性能(R2val ≃ 0.8 和 RPIQ ≃ 3.72)和正确的粘土映射。因此,在等待即将推出的高光谱卫星传感器(例如 HYPXIM 和 EnMAP)的同时,应继续使用 ASTER 多光谱数据进行粘土制图,这将是未来在裸土上进行大型粘土制图活动的良好候选者。