Spatial Data Analysis with Earth Engine Python API

 

Spatial Data Analysis with Earth Engine Python API

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Spatial Data Analysis with Earth Engine Python API Learn machine learning, big data analysis, GIS, remote sensing with Earth Engine Python

What you'll learn

• Students will access and sign up the Google Earth Engine Python API platform
• Access satellite data in Earth Engine
• Export geospatial Data including rasters and vectors.
• Access images and image collections from the Earth Engine cloud data library
• Perform cloud masking of various satellite images
• Visualize and analyze various satellite data including, MODIS, Sentinel and Landsat
• Visualize time series images
• Run machine learning algorithms using big Earth Observation data

Requirements

• Download and Install Anaconda and Jupyter Notebook
• Basic understanding of GIS and Remote Sensing
• Access to the Google Earth Engine API

Description

Do you want to access satellite sensors using Earth Engine Python API and Jupyter Notebook?

Do you want to learn the spatial data science on the cloud?

Do you want to become a spatial data scientist?

• Enroll in my new course to Spatial Data Analysis with Earth Engine Engine Python API.
• I will provide you with hands-on training with example data, sample scripts, and real-world applications. By taking this course, you be able to install Anaconda and Jupyter Notebook. Then, you will have access to satellite data using the Earth Engine Python API.

What makes me qualified to teach you?

• I am Dr. Alemayehu Midekisa, PhD. I am a geospatial data scientist, instructor and author. I have over 15 plus 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 Spatial Data Analysis with Earth Engine Python API course, I will help you get up and running on the Earth Engine Python API and Jupyter Notebook. By the end of this course, you will have access to all example script and data such that you will be able to accessing, downloading, visualizing big data, and extracting information.

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