Development of ET SEBAL model in Google Earth Engine
Author: fullsoftcrack on 18-06-2023, 20:13, Views: 32
Free Download Development of ET SEBAL model in Google Earth EnginePublished 6/2023
Created by GIS Lab
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 86 Lectures ( 10h 41m ) | Size: 6 GB
Step by step guide for croplands
What you'll learn
SEBAL
Evapotranspiration
Google Earth Engine
Remote Sensing
NDVI, SAVI, LAI
Surface Temperature
Incoming Longwave Radiation
Incoming Shortwave Radiation
Surface Emissivity
Momentum Roughness Length
Sensible Heat Flux
Soil Heat Flux
Outgoing longwave radiation
Net radiation flux
Requirements
Basic (or better Intermediate) knowledge of Google Earth Engine
Good Internet Connection
Description
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!
Who this course is for
Remote sensing specialists
GIS specialists
Remote sensing master students
GIS master students
Hydrologists
Ecologists
Crop scientists
Ecologists
Environmentalists
Homepage
https://www.udemy.com/course/development-of-et-sebal-model-in-google-earth-engine/
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