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所在平台: Udemy |
课程主页: https://www.udemy.com/course/developing-a-high-resolution-rusle-model-in-qgis/
课程评论：没有评论
**课程名称：** 在QGIS中开发高分辨率RUSLE模型 **课程概述：** 本课程旨在教授如何利用QGIS、SAGA GIS和Google Earth Engine (GEE) 开发高分辨率（10米）的RUSLE（修订通用土壤流失方程）模型。土壤侵蚀是土地生产力、可持续农业和环境稳定性的重大威胁。本课程将引导您完成计算RUSLE模型五个核心因子——R（降雨侵蚀力）、K（土壤可蚀性）、LS（坡度长度和坡度）、C（覆盖管理）和P（种植或土地支持措施）——的步骤，并将它们整合到一个空间侵蚀风险图中。 **目标受众：** GIS专业人士、环境科学家、学生、规划师，以及任何希望使用现代、开源工具准确模拟水蚀的人员。特别适合从事土地退化、农业、流域管理或保护工作的GIS分析师、环境模型师、学生和专业人士。 **学习内容：** * **地形预处理和LS因子推导（SAGA GIS）：** 利用ALOS PALSAR DEM等数据进行地形处理，计算LS因子。 * **土地利用和土地覆盖分类（Google Earth Engine）：** 使用Sentinel-2影像和随机森林算法进行高精度分类，用于C因子计算。 * **土壤和保护措施赋值（QGIS和Google Earth Pro）：** 在QGIS中整合土壤数据，并在Google Earth Pro中辅助识别土地支持措施。 * **模型整合与侵蚀风险图生成：** 将所有因子层叠加，生成最终的土壤侵蚀风险图。 **核心优势：** * **全开源工具：** 仅使用免费的开源软件和全球可用的开源数据，无需昂贵的许可证。 * **高分辨率：** 目标是实现10米分辨率的建模结果。 * **实操性强：** 提供动手实践经验，学习如何构建和应用模型。 * **实用性广泛：** 无论是在特定区域还是全球尺度，都能准确有效地进行侵蚀建模。 **课程成果：** 学员将能够独立开发高分辨率的RUSLE土壤侵蚀模型，并为土地退化、水土保持等领域提供科学依据。
Soil erosion remains one of the greatest threats to land productivity, sustainable agriculture, and environmental stability. In this hands-on course, you will learn how to develop a high-resolution (10-meter) RUSLE (Revised Universal Soil Loss Equation) model in QGIS using a powerful combination of SAGA GIS and Google Earth Engine (GEE).This course is designed for GIS professionals, environmental scientists, students, and planners who want to accurately model water-induced soil erosion with modern, open-source tools. You'll learn how to calculate the five core RUSLE factors-R (rainfall erosivity), K (soil erodibility), LS (slope length and steepness), C (cover management), and P (support practice)-and integrate them into a single spatial erosion map.We'll use Sentinel-2 imagery, ALOS PALSAR DEM, and field-proven methods to produce reliable, high-resolution results. You'll gain practical skills in:Terrain preprocessing and LS factor derivation in SAGAAccurate land use and land cover classification for the C factor in Google Earth Engine with Random ForestsAssigning soil and conservation values in QGIS and Google Earth ProCombining all layers to generate a final erosion risk mapWe will create our own maps and use global open-source data when it is available. By the end of the course, you'll be able to create accurate erosion models for any region, using freely available global datasets and open-source GIS software. No need for expensive licenses-just results.This course is ideal for GIS analysts, environmental modelers, students, and professionals working in land degradation, agriculture, watershed management, or conservation.Whether you're focused on a specific region or working on global sustainability assessments, this course gives you the data, tools, and skills to model erosion accurately and effectively.
