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所在平台: Udemy |
课程主页: https://www.udemy.com/course/development-of-et-sebal-model-in-google-earth-engine/
课程评论：没有评论
**课程名称：** Google Earth Engine 蒸散发 (ET) 制图 (SEBAL) **课程概述：** 本课程将引导您逐步学习在 Google Earth Engine (GEE) 中开发最著名的蒸散发模型——陆地表面能量平衡算法 (SEBAL)。课程以阿联酋迪拜的一个农业区为研究案例。成功完成本课程后，您将掌握 SEBAL 模型，并能将其应用于其他遥感项目。 **先决条件：** * 拥有 Google Earth Engine 账户 (免费注册)。 * 具备 GEE 或 JavaScript 的基础或中级编程能力。 * 具备相关的蒸散发知识/经验者更佳。 **课程内容：** 课程包含理论和实践两部分，其中实践部分占比约 90%。课程将提供 SEBAL 模型脚本，并允许您根据自身研究区域进行调整。 **课程亮点：** * 掌握 SEBAL 模型在 GEE 中的实现。 * 为研究区域的蒸散发制图提供实用技能。 * 课程附带两个专为本课程开发的 QGIS 插件 (用于计算瞬时参考蒸散发和相关系数)，可免费下载。 * 提升您的遥感和 Google Earth Engine 技能。
In this course, you will master a step-by-step guide to developing a script in Google Earth Engine for the most famous Evapotranspiration model - Surface Energy Balance Algorithm for Land (SEBAL) for agricultural areas. Before starting a course, please read the requirements for the course - you need to have a Google Earth Engine profile (free to open), and a basic or better intermediate level of scripting in GEE or JavaScript. As a research study area an agricultural field that is located in Dubai Emirate, the UAE was taken. You can apply this course to your study area by making minor changes. It is good if you also have some knowledge/ experience of evapotranspiration. The course is divided into a theoretical part and a practical part, the latter of which constitutes almost 90 % of the course. Each practical part of the course contains an attached script in txt format. After finishing the course, besides developing the SEBAL model, you can apply different parts of the course in your other projects, that involve remote sensing. The course also contains two QGIS plugins ( to calculate instantaneous reference evapotranspiration and correlation coefficients) developed deliberately for the course which is free to download. Get ready to boost your knowledge in remote sensing and Google Earth Engine!
