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Evaluation of Multispectral Data for Rapid Assessment of Wheat Straw Residue Cover

机译：快速评估小麦秸秆残留覆盖率的多光谱数据评估

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Crop residues influence near surface soil organic carbon (SOC) content, impact our ability to remotely assess soil properties, and play a role in global carbon budgets. Methods that measure crop residues are laborious, and largely inappropriate for field-scale to regional estimates. The objective of this study was to evaluate high spectral resolution remote sensing (RS) data for rapid quantification of residue cover. In March 2000 and April 2001, residue plots (15 by 15 m) were established in the Coastal Plain and Appalachian Plateau physiographic regions of Alabama. Treatments consisted of five wheat (Triticum aestivum L.) straw cover rates (0, 10, 20, 50, and 80%) replicated three times. Spectral measurements were acquired monthly via a handheld spectroradiometer (350–1050 nm) and per availability via the Airborne Terrestrial Applications Sensor (ATLAS) (400–12500 nm). Overall, treatment separation was influenced by soil water content and percentage of total organic carbon (TOC) of the residue (degree of decomposition). Results showed that atmospherically corrected visible and near-infrared ATLAS data can differentiate between residue coverages. Similar results were obtained with the handheld spectroradiometer, although treatment differentiation was less consistent. Thermal infrared ATLAS imagery best discriminated among residue treatments due to differing heat capacities between soil and residue. Results from our study suggest airborne thermal infrared (TIR) imagery can be used for crop residue variability assessment within the southeastern USA.
机译：作物残渣影响近地表土壤有机碳（SOC）含量，影响我们对土壤特性进行远程评估的能力，并在全球碳预算中发挥作用。测量 作物残留量的方法比较费力，并且对于区域规模的 来说在很大程度上不适合区域估计。这项研究的目的是评估 高光谱分辨率遥感（RS）数据，以快速 量化残留物覆盖率。在2000年3月和2001年4月，在阿拉巴马州的沿海平原和阿巴拉契亚高原生理地区建立了 残留地块（15 x 15 m）。处理 由五种小麦（Triticum aestivum L.）稻草覆盖率 （0％，10％，20％，50％和80％）重复三次。每月通过手持式光谱仪（350–1050 nm）获取光谱测量值 ，并通过机载地面应用 传感器（ATLAS）每次获取光谱测量值（400 –12500 nm）。总体而言，处理分离 受土壤含水量和残渣中总 有机碳（TOC）百分比（分解程度）的影响。 结果结果表明，大气校正的可见光和近红外 ATLAS数据可以区分残留物覆盖率。尽管 治疗差异不太一致，但手持式分光光度计获得了相似的 结果。由于 由于土壤和残留物之间的热容量不同，在残留物处理之间最好地区分红外热图像。我们研究的结果 表明，机载热红外（TIR）图像 可以用于美国南部 内的农作物残留变异性评估。 / sup>

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    《Soil Science Society of America Journal》 |2004年第6期|2007-2013|共7页
  • 作者

    D. G. Sullivan; J. N. Shaw; P. L. Mask; D. Rickman; E. A. Guertal; J. Luvall; J. M. Wersinger;

  • 作者单位

    USDA-ARS Southeast Watershed Research Laboratory, Tifton, GA 31794,Physics Dep., Auburn University Auburn, AL 36849;

    USDA-ARS Southeast Watershed Research Laboratory, Tifton, GA 31794,Physics Dep., Auburn University Auburn, AL 36849;

    Dep. of Agronomy and Soils, Auburn University, Auburn, AL 36849,Physics Dep., Auburn University Auburn, AL 36849;

    USDA-ARS Southeast Watershed Research Laboratory, Tifton, GA 31794,Physics Dep., Auburn University Auburn, AL 36849;

    Dep. of Agronomy and Soils, Auburn University, Auburn, AL 36849,Physics Dep., Auburn University Auburn, AL 36849;

    Global Hydrology and Climate Center, Huntsville, AL 35805,Physics Dep., Auburn University Auburn, AL 36849;

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