Remote Sensing Basics in Earth Engine Python and Colab
Remote Sensing Basics in Earth Engine Python and Colab
Duration: 1h 46m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 868 MB
Genre: eLearning | Language: English
Duration: 1h 46m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 868 MB
Genre: eLearning | Language: English
Become proficient to analyze remote sensing data on the earth engine cloud computing platform
What you'll learn
Learn the basics of remote sensing principles
Master the image processing skills: mosaicking, compositing, resampling, reprojection, spectral unmixing, and classification
Access and download freely available Earth observation satellite data using cloud platform
Get familiarized with various satellite sensors and remotely sensed products
Get started with Python and Colab using the Google cloud computing
Requirements
No prior knowledge of remote sensing is required.
Anyone interested in to master Python and Earth Engine to analyze satellite data
Description
Do you want to learn the basics of remote sensing using the Earth Engine Python API?
Do you want to write your first Python code to analyze satellite data?
Enroll in this Remote Sensing Basics in Earth Engine Python course.
I will provide you with hands-on Python scripts, data and tips and tricks to successfully write your code to manage big data on the cloud.
By taking this course, you will take your spatial data science skills to the next level by gaining proficiency in Python, AErth Engine, and Colab powered by by Google.
What makes me qualified to teach you?
I have over 10 years of experience in processing and analyzing real GIS and 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 Fundamentals of Remote Sensing and Image Analysis course, I will help you get up and running on the Google Earth Engine JavaScript API platform form to process and analyze geospatial data. By the end of this course, you will be equipped with a set of new Remote Sensing skills including accessing, downloading processing, analyzing, and visualizing GIS and Earth Observation big data.
The course covers various topics including introduction to digital image processing, earth engine Python API overview, colab and various digital image processing analysis.
In this course, I will use real satellite data to help you up and running on the colab and Python environment easily. If you have no prior programming skills, do not worry. I will hep you get on track by guiding you step by step to master the Python AP and Colab. All sample data and script will be provided to you as an added bonus throughout the course.
If you want to improve your spatial data science skills and be ready for your next geospatial job, take action now by taking this course.
Lets get started!
Who this course is for:
Anyone interested in learning how to process and analyze Earth observation data with Google earth Engine
Anyone interested to learning the basics of satellite remote sensing
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