Department of Land, Environment, Agriculture and Forestry, University of Padova, Agripolis, Viale dell'Università 16, 35020 Legnaro, PD, Italy.
Soil Erosion and Degradation Research Group, Department of Geography, University of Valencia, Blasco Ibáñez, 28, 46010, Valencia, Spain.
Sci Total Environ. 2017 Jan 1;574:204-215. doi: 10.1016/j.scitotenv.2016.09.036. Epub 2016 Oct 14.
Soil water erosion is a serious problem, especially in agricultural lands. Among these, vineyards deserve attention, because they constitute for the Mediterranean areas a type of land use affected by high soil losses. A significant problem related to the study of soil water erosion in these areas consists in the lack of a standardized procedure of collecting data and reporting results, mainly due to a variability among the measurement methods applied. Given this issue and the seriousness of soil water erosion in Mediterranean vineyards, this works aims to quantify the soil losses caused by simulated rainstorms, and compare them with each other depending on two different methodologies: (i) rainfall simulation and (ii) surface elevation change-based, relying on high-resolution Digital Elevation Models (DEMs) derived from a photogrammetric technique (Structure-from-Motion or SfM). The experiments were carried out in a typical Mediterranean vineyard, located in eastern Spain, at very fine scales. SfM data were obtained from one reflex camera and a smartphone built-in camera. An index of sediment connectivity was also applied to evaluate the potential effect of connectivity within the plots. DEMs derived from the smartphone and the reflex camera were comparable with each other in terms of accuracy and capability of estimating soil loss. Furthermore, soil loss estimated with the surface elevation change-based method resulted to be of the same order of magnitude of that one obtained with rainfall simulation, as long as the sediment connectivity within the plot was considered. High-resolution topography derived from SfM revealed to be essential in the sediment connectivity analysis and, therefore, in the estimation of eroded materials, when comparing them to those derived from the rainfall simulation methodology. The fact that smartphones built-in cameras could produce as much satisfying results as those derived from reflex cameras is a high value added for using SfM.
土壤水蚀是一个严重的问题,特别是在农业用地中。在这些问题中,葡萄园值得关注,因为它们构成了地中海地区受高土壤流失影响的一种土地利用类型。与这些地区土壤水蚀研究相关的一个重要问题是缺乏收集数据和报告结果的标准化程序,主要是由于应用的测量方法存在变异性。鉴于这个问题和地中海葡萄园土壤水蚀的严重性,本工作旨在量化模拟暴雨引起的土壤流失,并根据两种不同的方法对其进行比较:(i)降雨模拟和(ii)基于地表高程变化的方法,依赖于从摄影测量技术(结构从运动或 SfM)得出的高分辨率数字高程模型 (DEM)。实验在西班牙东部一个典型的地中海葡萄园进行,尺度非常小。SfM 数据由一台反射相机和一部智能手机内置相机获得。还应用了一个泥沙连通性指数来评估斑块内连通性的潜在影响。智能手机和反射相机导出的 DEM 在精度和估计土壤流失的能力方面彼此相当。此外,只要考虑到斑块内的泥沙连通性,基于地表高程变化的方法估计的土壤流失量与降雨模拟获得的土壤流失量具有相同的量级。SfM 生成的高分辨率地形对于泥沙连通性分析以及因此对于比较与降雨模拟方法相比的侵蚀材料的估算至关重要。智能手机内置相机能够产生与反射相机一样令人满意的结果,这是使用 SfM 的一个高附加值。