Big Geospatial Data Analysis With Google Earth Engine
Last updated 8/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.06 GB | Duration: 3h 21m
Learn to analyze, visualize big Earth observation data, Remote Sensing, GIS, Google Earth Engine Cloud Computing[/center]
What you'll learn
download скачать varies satellite data for free
Students 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
This course has no requirements.
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 Google Earth Engine.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. In this Big Geospatial Data Analysis with Google Earth Engine 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, downloading, 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 JavaScript 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.
Overview
Section 1: Explore Earth Engine API
Lecture 1 Welcome
Lecture 2 Introduction to Earth Engine
Lecture 3 Explore Earth Engine
Lecture 4 Sign Up with Earth Engine
Lecture 5 Code Editor
Lecture 6 JavaScript Syntax
Section 2: Big Earth Observation Data
Lecture 7 Earth Observation Satellites
Lecture 8 Landsat Satellite Image
Lecture 9 Cloud Mask Landsat Satellite Image
Lecture 10 Sentinel Satellite Image
Lecture 11 MODIS Image
Section 3: Visualization of Satellite Data
Lecture 12 Map Rainfall
Lecture 13 Map LST
Lecture 14 Map NDVI
Lecture 15 Map EVI
Lecture 16 Map Nighttime Light
Lecture 17 Map Land Cover
Section 4: Plot Monthly Time Series
Lecture 18 Plot Rainfall Time Series
Lecture 19 Plot LST Time Series
Lecture 20 Plot NDVI Time Series
Lecture 21 Plot EVI Time Series
Section 5: Extract Monthly Time Series
Lecture 22 Extract Monthly Rainfall
Lecture 23 Extract Monthly LST
Lecture 24 Extract Monthly NDVI
Lecture 25 Extract Monthly EVI
Section 6: Bonus
Lecture 26 Bonus Lecture
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.
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