Big Geospatial Data Analysis With Earth Engine Api

Category: Tutorial


Posted on 2020-03-07, by raymanhero.

Description

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Big Geospatial Data Analysis with Earth Engine API
h264, yuv420p, 1280x720 |ENGLISH, aac, 44100 Hz, 2 channels, s16 | 3h 17mn | 2.1 GB
Instructor: Dr. Alemayehu Midekisa


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Learn to access satellite sensors, visualize big Earth observation Remote Sensing and GIS data, and extract information What you'll learnStudents will access and sign up the Google Earth Engine platform.
Apply Remote Sensing and GIS techniques to process and analyze various vector data.
Generate various visualizations including time series and histogram charts from remote sensing data.
Learn to access and analyze various satellite data including MODIS, Sentinel and Landsat.
Visualize Time Series images.
Extract information from satellite data.
Requirements
Need to learn accessing and understanding Earth observation data in the cloud.
Need to learn processing analyzing large volume of remotely sensed satellite data using Google Earth Engine cloud computing.
Need to learn applying GIS techniques using cloud-based platforms.
Description
Do you want to access satellite sensors?
Do you want to visualize big Earth observation Remote Sensing GIS data?
Do you want extract information from satellite sensors?
Enroll in my new course to Big Geospatial Data Analysis with Earth Engine API.
I will provide you with hands-on training with example GIS and Remote Sensing data, sample scripts, and real-world applications. By taking this course, you will take your geospatial data science skills to the next level by gaining proficiency in accessing satellite sensors, visualize big Earth observation data and extract information from satellite data.
What makes me qualified to teach you?
I have over 10 years of experience in processing and analyzing real big Earth observation data from various sources including Landsat, MODIS, Sentinel-2, SRTM and other remote sensing products. I am also the recipient of one the prestigious NASA Earth and Space Science Fellowship. I teach over 10,000 students on Udemy.
In this Big Geospatial Data Analysis with Earth Engine API course, I will help you get up and running on the Earth Engine cloud platform access satellites, visualize big data and extract information from satellites.
By the end of this course, you will be equipped with a set of new skills including accessing, ing, visualizing big data, and extracting information.
In this course, I will use real satellite data including Landsat, MODIS, Sentinel-2, and others to provide you a hands-on practical experience of working with Earth observation data.
One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Engine jаvascript open source cloud platform. Additionally, I will walk you through using a step by step video tutorials to process and analyze GIS and Remote Sensing data with GEE. All sample data and script will be provided to you as an added bonus throughout the course.
Jump in right now to enroll. To get started click the enroll button.
Who this course is for:
This course is meant for professionals who want to harness the power Google Earth Engine cloud computing platform.
People who want to understand various satellite image processing techniques.
Anyone who wants to learn accessing visualizing and extracting information from satellites.
People who are working with satellite remote sensing data such as Landsat, MODIS, and Sentinel-2.
Anyone who wants to apply for GIS or Remote Sensing Specialist job position.

Download link
Nitroflare

https://nitroflare.com/view/3781CA5D13C50F6/D3qtHtBj__Big_Geospa.part1.rar
https://nitroflare.com/view/689A0825EB8A09D/D3qtHtBj__Big_Geospa.part2.rar
https://nitroflare.com/view/BBCFC9E9D92B04B/D3qtHtBj__Big_Geospa.part3.rar

Rapidgator

https://rapidgator.net/file/9eaed76de4310eeae956872a510b4800/D3qtHtBj__Big_Geospa.part1.rar.html
https://rapidgator.net/file/0f378ca3a87bb4e96049190101dcd496/D3qtHtBj__Big_Geospa.part2.rar.html
https://rapidgator.net/file/b9f3e5eb6c0345ffc6dcebdd8ec9a06c/D3qtHtBj__Big_Geospa.part3.rar.html


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