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Udemy - Advanced Google Earth Engine(GEE) For Spatial Data Analysis
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 4.36 GB | Duration: 6h 5m
What you'll learn
Gain robust grounding in the basic and latest features of Google Earth Engine (GEE)
Learn how to work with in-built shapefiles and imagery data present within GEE
Learn to upload and analyse your own data in GEE
Gain proficiency in jаvascript for operating the GEE ecosystem
Carry out pre-processing and processing of satellite data in the GEE cloud
Requirements
Desire to learn spatial data processing using Google Earth Engine
Desire to learn common image pre-processing and GIS techniques in Google Earth Engine
Prior knowledge of the different common spatial data types
Access to a gmail email account to sign up for Google Earth Engine
Description
ENROLL IN MY LATEST COURSE ON HOW TO LEARN ALL ABOUT BASIC SATELLITE REMOTE SENSING AND GIS ANALYSIS USING GOOGLE EARTH ENGINE (GEE).
Are you currently enrolled in any of my GIS and remote sensing related courses?
Or perhaps you have prior experiences in GIS or tools like R and QGIS?
You want to quickly analyse large amounts of geospatial data
Implement machine learning models on remote sensing data
You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis?
The next step for you is to gain proficiency in satellite remote sensing data analysis and GIS using GEE, a cloud-based endeavour by Google that can help process several petra-byte of imagery data. Over the past few years, the a
MY COURSE IS A HANDS-ON TRAINING WITH REAL REMOTE SENSING AND GIS DATA ANALYSIS WITH GOOGLE EARTH ENGINE- A planetary-scale platform for Earth science data & analysis; including implementing machine learning models on imagery data, powered by Google's cloud infrastructure. !
My course provides a foundation to carry out PRACTICAL, real-life remote sensing and GIS analysis tasks in this powerful cloud-supported platform. By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.
Why Should You Take My Course?
I have an MPhil (Geography and Environment) from the University of Oxford, UK. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).
I have several years of experience in analyzing real-life spatial remote sensing data from different sources and producing publications for international peer-reviewed journals.
In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote sensing can help us answer. You will be introduced to a variety of other datasets as well, including those relating to fires and socio-economic measures.
This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.
Remote sensing software tools are costly, and their cost can run into thousands of dollars. Instead of shelling out so much money or procuring pirated copies (which puts you at risk of prosecution), you will learn to carry out some of the most critical and common remote sensing analysis tasks using one of the most powerful earth observation data and analysis platform. GEE is rapidly demonstrating its importance in the geospatial sector and improving your skills in GEE will give you an edge over other job applicants..
This is a fairly comprehensive course, i.e. we will focus on learning the most essential and widely encountered remote sensing data processing and GIS analysis techniques in Google Earth Engine
You will also learn about the different sources of remote sensing data there are and how to obtain these FREE OF CHARGE and process them using within GEE.
In addition to all the above, you'll have MY CONTINUOUS SUPPORT to make sure you get the most value out of your investment!
ENROLL NOW :)
Who this course is for:
Students of forestry, environment, geography and environmental sciences
People interested in geospatial data analysis
People interested in geospatial imagery analysis
People interested in applying machine learning techniques on geospatial data
Homepage
https://www.udemy.com/course/advanced-google-earth-enginegee-for-spatial-data-analysis/Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
https://rapidgator.net/file/97af696c8199aee8a431ca6c101c3b4a/xrkw1.Advanced.Google.Earth.EngineGEE.For.Spatial.Data.Analysis.part1.rar.html
https://rapidgator.net/file/8b9d5f613159c233ae741145cb3d8f6b/xrkw1.Advanced.Google.Earth.EngineGEE.For.Spatial.Data.Analysis.part2.rar.html
https://rapidgator.net/file/147f6e7387c46b8ec6ef4c7a32537774/xrkw1.Advanced.Google.Earth.EngineGEE.For.Spatial.Data.Analysis.part3.rar.html
https://rapidgator.net/file/8576907f95a53b0f3767d79e5e1fff6e/xrkw1.Advanced.Google.Earth.EngineGEE.For.Spatial.Data.Analysis.part4.rar.html
https://rapidgator.net/file/97719dc8bfee98e1eb319e1a4342fd5f/xrkw1.Advanced.Google.Earth.EngineGEE.For.Spatial.Data.Analysis.part5.rar.html
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