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所在平台: Udemy |
课程主页: https://www.udemy.com/course/flood-hazard-risk-analysis-with-remote-sensing-and-gisahp/
课程评论：没有评论
**课程名称：** 利用遥感和 GIS/AHP 方法进行洪水灾害风险分析 **课程概述：** 本课程教授如何使用 ArcGIS Pro 结合层次分析法（AHP）和多准则决策方法，对洪水灾害风险进行分析。课程将计算 10 个不同图层（包括高程、坡度、地形湿度指数、曲率分析、降雨量分析（使用 Schreiber 方法）、NDVI 分析、土地利用和土地覆盖分析、距河流距离/邻近分析、排水密度分析、地貌分析（提供 Jennes Tools））的权重和效应。 您将学习如何获取和准备用于分析的数据，了解数据经过的地理处理过程，以及如何为分析做准备。课程还将详细讲解栅格和矢量数据的准备、投影转换、字段添加，以及栅格到矢量和矢量到栅格转换过程中可以加速操作的快捷方式。 本课程共包含 6 个部分、36 个视频，总时长为 5 小时 40 分钟。学完本课程后，您将掌握利用 GIS 和遥感技术进行洪水风险分析的方法，并能将所学知识应用于世界任何地区的类似研究。课程提供了实验数据，方便您进行实践。 **课程重点：** * **GIS 和遥感在风险分析中的应用：** 了解其日益增长的重要性，以及如何利用 GIS 收集、处理和分析数据以识别潜在风险区域。 * **洪水风险分析实践：** 以印度金奈地区为例，使用 GIS 技术确定洪水风险区域。 * **加权叠加分析（Weighted Overlay Analysis）：** 学习如何在建模阶段应用此方法。 * **多准则决策方法（AHP）：** 掌握如何确定不同影响因素的权重。 * **数据准备和处理：** 学习如何获取、准备和处理用于空间分析的栅格和矢量数据，包括投影转换和字段管理。 * **多种空间分析工具：** 熟悉和应用多种分析工具，包括高程、坡度、地形湿度指数、降雨量、NDVI、土地利用/覆盖、距河流距离、排水密度以及地貌分析。 * **实操练习：** 通过提供的实验数据进行动手实践，巩固学习成果。 本课程旨在为您提供一个进行类似洪水风险分析研究的资源，无论您在世界何处，都可以借鉴此方法。
Hello,The weights and effects of 10 different layers were calculated for the Flood Risk Analysis with the AHP /multi criteria decision method with ArcGIS Pro. The use of Geographic Information Systems (GIS) and Remote Sensing in risk analysis studies are increasing day by day. Geographic Information Systems are used to collect, process and analyze existing data in order to identify potential risk areas. In this study, Flood Risk Analysis areas of the city of Chennai district were determined by GIS techniques. In the modeling phase, the Weighted Overlay Analysis method was applied and digital maps.There are 6 sections and 36 videos. Totally, 5 hours 40 minutes!Which analysis that we need? Elevation, Slope, Topographic Wetness İndexCurvature Analysis,Precipitation Analysis (By using Schriber Method) NDVI Analysis, Landuse and Landcover Analysis, Distance to stream Analysis/Proximity AnalysisDrainage Density AnalysisGeomorphology Analysis (Jennes Tools/I will provide this tool to you as freely) You will learn from where to download and how the data to be used in the analysis, what geographical processes it goes through and how it is prepared for analysis. Raster and vector data how to be prepared one by one, projection conversion operations, adding fields and the shortcuts that will speed up your process when converting from raster to vector and from vector to raster will be especially useful for you. Based on this study, it has been prepared as a resource for you to do a similar study about any part of the world. By sharing the data I used throughout the study with you, I allow you to practice.
