Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements
Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements
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DOI：
10.1016/j.geoderma.2014.11.015
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发表时间：
2015-03
期刊：
影响因子：
6.1
通讯作者：
Sebastian Rudolph;J. Kruk;C. Hebel;M. Ali;M. Herbst;C. Montzka;S. Pätzold;D. Robinson;H. Vereecken;L. Weihermüller
中科院分区：
文献类型：
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作者：
Sebastian Rudolph;J. Kruk;C. Hebel;M. Ali;M. Herbst;C. Montzka;S. Pätzold;D. Robinson;H. Vereecken;L. Weihermüller
作物发育和产量的模式往往与土壤质地的横向和纵向变化直接相关，这种变化导致植物生长所需的水和资源供应发生变化，特别是在干旱条件下。残留的地貌特征，如被浅沉积物覆盖的古老河道，可以挑战精确农业、地下水文学和作物建模中的均匀性假设。因此，更好地检测这些地下结构是非常感兴趣的。在这项研究中，狭窄和起伏的叶面积指数（LAI）模式的起源，显示更好的作物表现在大规模的多时相卫星图像的解释第一次近端土壤传感器数据。一个多接收器电磁感应（EMI）传感器测量土壤表观电导率（ECa）为6个深度的勘探（DOE）范围从0-0.25到0-1.9米被用来作为普查土壤调查工具结合选定的电阻率层析成像（ERT）横断面，地面真实纹理数据，调查横向和纵向变化的土壤性质在10个耕地。中等至优秀的空间一致性（R20.19-0.82）的ECapatrium和LAI作物标记，表明较高的蓄水能力，以及大偏移ECapatrium和底土粘土含量和土壤剖面深度之间的相关性增加，这意味着沿着这个埋藏的古河流结构的底土是主要负责更好的作物生长在干旱时期。此外，观察到的积水在底土表明，这种古河流结构仍然发挥着重要作用，地下水文。这些见解应在当地水文和作物模型中加以考虑和实施。
Patterns in crop development and yield are often directly related to lateral and vertical changes in soil texture causing changes in available water and resource supply for plant growth, especially under dry conditions. Relict geomorphologic features, such as old river channels covered by shallow sediments can challenge assumptions of uniformity in precision agriculture, subsurface hydrology, and crop modeling. Hence a better detection of these subsurface structures is of great interest. In this study, the origins of narrow and undulating leaf area index (LAI) patterns showing better crop performance in large scale multi-temporal satellite imagery were for the first time interpreted by proximal soil sensor data. A multi-receiver electromagnetic induction (EMI) sensor measuring soil apparent electrical conductivity (ECa) for six depths of exploration (DOE) ranging from 0–0.25 to 0–1.9 m was used as reconnaissance soil survey tool in combination with selected electrical resistivity tomography (ERT) transects, and ground truth texture data to investigate lateral and vertical changes of soil properties at ten arable fields. The moderate to excellent spatial consistency (R20.19–0.82) ofECapatterns andLAIcrop marks that indicate a higher water storage capacity as well as the increased correlations between large-offsetECadata and the subsoil clay content and soil profile depth, implies that along this buried paleo-river structure the subsoil is mainly responsible for better crop development in drought periods. Furthermore, observed stagnant water in the subsoil indicates that this paleo-river structure still plays an important role in subsurface hydrology. These insights should be considered and implemented in local hydrological as well as crop models.