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你们有什么版本的Arc Hydro 2.9 ?
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星期五
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这个错误与Pro 2.9和Pro 3+版本的工具冲突有关。这里有Arc Hydro 2.9和3的更新版本,安装最新版本可以解决这个错误吗?最好,吉娜
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一周前
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嗨,Gabo,谢谢你的问题!你能描述一下你看到的平滑高分辨率DEM的错误吗?如果您使用自己的数据,请确保您输入的DEM是TIFF格式和投影坐标系。还要检查输入和输出文件路径中没有空格。最后,请确保在Pro 3或Pro 2.9中使用最新版本的工具。强烈推荐使用Pro 3。文档用例中使用的数据可以在这里找到。最新版本的工具和用例中使用的工具会有一些细微的差异。然而,工作流程基本上是相同的,新的工具在Pro中有很好的文档。新版本的用户指南即将发布。最好,吉娜
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一周前
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我们刚刚发布了一个新的Pro 2.9版本,应该可以解决这些问题。这些工具也包含了Pro 3几乎所有的功能(除了Continuous Flow)。如果你仍然遇到问题,请告诉我。谢谢!在此下载https://downloads.esri.com/archydro/archydro/Setup/Pro/2.9/
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12-02-202202:22点
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嘿。谢谢你的提醒!我仍然需要提交Arc Hydro Pro 2.9构建的更改来解决这个问题。在Arc Hydro Pro 3版本中,这些工具应该都能正常工作,并具有额外的功能。你能升级吗?我将在本周修复这些Pro 2.9的问题。
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11-28-202201:38点
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查看Arc Hydro Pro 3安装中可用的最新版本WIM工具(版本3.0.35+)!这些WIM更新是自工具首次发布以来最重要的更新。更新包括修订:预处理地面真值数据,列车测试分割,计算TWI,计算曲率和计算DTW,以及一个新工具:后处理湿地预测。预处理地面真值数据此工具将地面真值特征格式化为符合wwin的栅格。在训练和/或测试期间,输出栅格中的每个单元都被视为某些分类(例如,湿地或非湿地)的真实发生。以前,预处理地面真值数据要求背景区域(地面真值特征之外和地面真值范围内的区域)属于已知的类别。该工具的更新版本将处理未知的背景区域,将这些区域转换为输出中的NoData单元格。虽然这最终导致用于训练和测试的数据单元减少,但由于需要栅格化的已知区域较少,更新允许更简化地应用点地面真值数据和不完整的湿地圈定。请参见下面的三个用例。列车测试分裂功能保持不变。 However, the user-interface has been refreshed to make the training sampling percentages inputs more intuitive. Reminder that these inputs control the proportion from each class that the tool may sample to create training data from. Once the Input Ground Truth Data is entered, the tool interface prepopulates all unique class values to prepare the user to assign a sampling percent to each. Curvature, TWI, and DTW using Surface Parameters The predictor variables tools have been updated to leverage optimized core tools: Surface Parameters (all three tools) and Derive Continuous Flow (Calculate TWI). Surface Parameters applies an optimal window size over which curvature or slope are calculated, i.e., adaptive neighborhoods. Smaller window sizes are used where more topographic variation occurs locally, and larger sizes are used where there is little variation and it is appropriate to generalize the geomorphology of an area. Leveraging this functionality within the WIM tools allows users to model hydrologic patterns at varying scales. Calculate Curvature uses the output of Surface Parameters directly. TWI and DTW use the Slope output of Surface Parameters as an input to their underlying equations. Derive Continuous Flow offers an alternative to Fill as a way to hydrocondition a DEM with sinks. This tool addresses erroneous flow direction and accumulation outputs caused by DEM sinks, not by modifying the input DEM data, but through the application of the least-cost path algorithm. This algorithm routes flow into depressions along the steepest downhill path and back out of the depressions along the least steep path. The updated TWI tool allows users to implement this flow routing algorithm when creating the flow accumulation input to the TWI equation. Using this method in appropriate landscapes has been shown to improve wetland modeling accuracy as more hydrologic detail is captured in the TWI that may have been otherwise generalized by flat, filled areas. See below outputs from older versions of the Curvature, TWI, and DTW tools versus outputs created with the updated tools. Imagery Basemap Traditional Curvature Surface Parameters Curvature DTW with Traditional Slope DTW with Surface Parameters Slope TWI with Traditional Slope and Fill TWI with Surface Parameters Slope and Least-Cost Flow Accumulation Postprocess Wetland Predictions Postprocess Wetland Predictions is a new tool that applies simple, geometry-based cleaning to binary raster wetland predictions. Postprocessing executes the following: Majority Filter on the binary predictions raster Converts predicted raster cells to polygons Deletes polygons smaller than a given minimum wetland size Uses Eliminate Polygon Part to fill holes smaller than the minimum wetland size Users should determine if postprocessing is best for their application. Raster wetland predictions (yellow), NWI reference wetlands (blue) Postprocessed polygon wetland predictions (red outline), NWI reference wetlands (blue) On the Horizon Additional learning materials showcasing these changes are on the horizon! Be on the lookout for: updated WIM User Guide and use cases WIM code snippets WIM training
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11-28-202201:14点
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很高兴知道这个。这样可以确认错误与工具UI相关,而不是代码本身。
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10-26-2022上午09:20
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嗨@MalloryGill,谢谢你的帮助。我相信这是电弧水力工具本身的一个错误,正如你所建议的。我们正致力于解决在Pro 3中开发,然后在Pro 2.9中使用的工具中的冲突。不幸的是,Train Test Split工具属于这一类。我们正在优先修复这个问题,并将在未来几周内提供新版本的WIM(这将包括额外的新WIM功能!)。同时,我建议尝试Pro 3中的工具,或者(更稳定)在2.9.59之前降级到arc hydro版本。
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10-25-202208:36我
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很高兴听到这个消息!谢谢你的跟进。
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09-19-2022上午08:07
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你好,马洛里,谢谢你的问题。很高兴听到你在使用WIM!您在训练随机树中看到的警告是预期的。我可能会把它降级为一条信息,而不是警告。它只是通知你,训练栅格与预测变量没有完全重叠。通常情况下,这是因为预测变量是为流域计算的,但训练数据只包含该流域的一个子集。因此,该工具在内部做一些滑动,模型只使用训练光栅与预测变量重叠的像素进行训练。这并不表示个别预测变量光栅之间的程度不匹配。0的波段重要性度量是奇怪的。我可以想象,如果没有训练细胞与预测变量细胞对齐,这种情况就会发生。 Can you share a screenshot of the training raster and predictor variables? Thanks, Gina
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09-15-202202:13点
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2 | 11-28-202201:14点 | |
1 | 09-15-202202:13点 | |
1 | 03-09-202109:23我 | |
1 | 05-04-202108:36我 | |
1 | 04-13-202108:56我 |