Validation of official erosion modelling based on high‐resolution radar rain data by aerial photo erosion classification

机译：基于高分辨率雷达雨数据的官方侵蚀建模验证空中照片侵蚀分类

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Abstract > The universal soil loss equation (USLE) is the most frequently applied erosion prediction model and it is also implemented as an official decision‐making instrument for agricultural regulations. The USLE itself has been already validated using different approaches. Additional errors, however, arise from input data and interpolation procedures that become necessary for field‐specific predictions on a national scale for administrative purposes. In this study, predicted event soil loss using the official prediction system in Bavaria (Germany) was validated by comparison with aerial photo erosion classifications of 8100 fields. Values for the USLE factors were mainly taken from the official Bavarian high‐resolution (5?×?5?m 2 ) erosion cadastre. As series of erosion events were examined, the cover and management factor was replaced by the soil loss ratio. The event erosivity factor was calculated from high‐resolution (1?×?1?km 2 , 5?min), rain gauge‐adjusted radar rain data (RADOLAN). Aerial photo erosion interpretation worked sufficiently well and average erosion predictions and visual classifications correlated closely. This was also true for data broken down to individual factors and different crops. There was no reason to assume a general invalidity of the USLE and the official parametrization procedures. Event predictions mainly suffered from errors in the assumed crop stage period and tillage practices, which do not reflect interannual and farm‐specific variation. In addition, the resolution of radar data (1?km 2 ) did not seem to be sufficient to predict short‐term erosion on individual fields given the strong spatial gradients within individual rains. The quality of the input data clearly determined prediction quality. Diffe </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> <div class="translation abstracttxt"> <span class="zhankaihshouqi fivelineshidden" id="abstract"> <span>机译：</span><Abstract XMLNS =“http://www.wiley.com/namespaces/wiley”type =“main”xml：lang =“en”> <title type =“main”>抽象</ title> >通用土壤损失方程（USLE）是最常见的应用侵蚀预测模型，也是农业法规的官方决策工具。 USLE本身已使用不同的方法验证。然而，额外的错误来自输入数据和插值程序，这是对国家规模的现场预测所必需的，用于行政目的。在这项研究中，通过与8100个领域的空中照片侵蚀分类进行了验证了使用巴伐利亚官方预测系统的预测事件土壤损失。 USLE因子的价值主要来自官方巴伐利亚高分辨率（5？×5？5？5？M <SUP> 2 </ SUP>）侵蚀肉体。由于检查了一系列侵蚀事件，因此覆盖和管理因子被土壤损失率取代。事件侵蚀因子由高分辨率（1？×1×1 km 2 </ sup>，5≤min）计算，雨量调整后的雷达雨数据（拉多兰）。空中照片侵蚀解释工作充分良好，平均侵蚀预测和视觉分类密切相关。这对于分解给个体因素和不同作物的数据也是如此。没有理由承担USLE的一般无效和官方参数化程序。事件预测主要遭受假定的作物阶段期间和耕作实践中的错误，不会反映营制和农业特异性变异。此外，雷达数据的分辨率（1 km 2 </ sup>）似乎没有足以在单个雨中赋予各个字段的短期侵蚀。输入数据的质量明确确定了预测质量。 diffe. </span> <span class="z_kbtn z_kbtnclass hoverxs" style="display: none;">展开▼</span> </div> </div> <div class="record"> <h2 class="all_title" id="enpatent33" >著录项</h2> <ul> <li> <span class="lefttit">来源</span> <div style="width: 86%;vertical-align: text-top;display: inline-block;"> <a href='/journal-foreign-22319/'>《Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group》</a> <b style="margin: 0 2px;">|</b><span>2018年第1期</span><b style="margin: 0 2px;">|</b><span>共8页</span> </div> </li> <li> <div class="author"> <span class="lefttit">作者</span> <p id="fAuthorthree" class="threelineshidden zhankaihshouqi"> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Fischer Franziska Katharina&option=202" target="_blank" rel="nofollow">Fischer Franziska Katharina;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Kistler Michael&option=202" target="_blank" rel="nofollow">Kistler Michael;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Brandhuber Robert&option=202" target="_blank" rel="nofollow">Brandhuber Robert;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Maier Harald&option=202" target="_blank" rel="nofollow">Maier Harald;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Treisch Melanie&option=202" target="_blank" rel="nofollow">Treisch Melanie;</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Auerswald Karl&option=202" target="_blank" rel="nofollow">Auerswald Karl;</a> </p> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zkzz" style="display: none;">展开▼</span> </div> </li> <li> <div style="display: flex;"> <span class="lefttit">作者单位</span> <div style="position: relative;margin-left: 3px;max-width: 639px;"> <div class="threelineshidden zhankaihshouqi" id="fOrgthree"> <p>Technische Universit?t MünchenLehrstuhl für Grünlandlehre85354 Freising Germany;</p> <p>Bavarian State Research Centre for Agriculture85354 Freising Germany;</p> <p>Bavarian State Research Centre for Agriculture85354 Freising Germany;</p> <p>Deutscher WetterdienstAu?enstelle Weihenstephan85354 Freising Germany;</p> <p>Bavarian State Research Centre for Agriculture85354 Freising Germany;</p> <p>Technische Universit?t MünchenLehrstuhl für Grünlandlehre85354 Freising Germany;</p> </div> <span class="z_kbtnclass z_kbtnclassall hoverxs" id="zhdw" style="display: none;">展开▼</span> </div> </div> </li> <li > <span class="lefttit">收录信息</span> <span style="width: 86%;vertical-align: text-top;display: inline-block;"></span> </li> <li> <span class="lefttit">原文格式</span> <span>PDF</span> </li> <li> <span class="lefttit">正文语种</span> <span>eng</span> </li> <li> <span class="lefttit">中图分类</span> <span><a href="https://www.zhangqiaokeyan.com/clc/163.html" title="地球物理学">地球物理学;</a></span> </li> <li class="antistop"> <span class="lefttit">关键词</span> <p style="width: 86%;vertical-align: text-top;"> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=RUSLE&option=203" rel="nofollow">RUSLE;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=RADOLAN&option=203" rel="nofollow">RADOLAN;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=erosion cadastre&option=203" rel="nofollow">erosion cadastre;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=event soil loss&option=203" rel="nofollow">event soil loss;</a> <a style="color: #3E7FEB;" href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=orthorectified photographs&option=203" rel="nofollow">orthorectified photographs;</a> </p> <div class="translation"> 机译：风险;拉多兰;侵蚀肉体;事件土壤损失;矫形照片; </div> </li> </ul> </div> </div> <div class="literature cardcommon"> <div class="similarity "> <h3 class="all_title" id="enpatent66">相似文献</h3> <div class="similaritytab clearfix"> <ul> <li class="active" >外文文献</li> <li >中文文献</li> <li >专利</li> </ul> </div> <div class="similarity_details"> <ul > <li> <div> <b>1. </b><a class="enjiyixqcontent" href="/journal-foreign-detail/0704023139159.html">Validation of official erosion modelling based on high‐resolution radar rain data by aerial photo erosion classification</a> <b>[J]</b> . <span> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Fischer Franziska Katharina&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Fischer Franziska Katharina,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Kistler Michael&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Kistler Michael,</a> <a href="/search.html?doctypes=4_5_6_1-0_4-0_1_2_3_7_9&sertext=Brandhuber Robert&option=202" target="_blank" rel="nofollow" class="tuijian_auth tuijian_authcolor">Brandhuber Robert,</a> <a href="/journal-foreign-22319/" target="_blank" rel="nofollow" class="tuijian_authcolor">Earth Surface Processes and Landforms: The journal of the British Geomorphological Research Group .</a> <span>2018</span><span>,第1期</span> 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