Harness the power of big spatial data with Earth Ee Python API and QGIS

Students will access and sign up the Google Earth Ee Python API platform

, and install QGIS

Access satellite data in Earth Ee

Export geospatial Data

Access image collections

Learn to access and analyze various satellite data including, MODIS, Sentinel and Landsat

Cloud masking of Landsat images

Visualize series images

Extract information from satellite data

Basic understanding of GIS and Remote Sensing

and install QGIS

Access to the Google Earth Ee API

Do you want to learn the QGIS Earth Ee plugin?

Do you want to visualize and analyze satellite data in Python?

Enroll in my new course to Python for Spatial Data Analysis with Earth Ee and QGIS.

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 QGIS and Earth Ee plugin. Then, you will have access to satellite data using the 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 Python for Spatial Data Analysis with Earth Ee and QGIS course, I will help you get up and running on the Earth Ee Python API and QGIS. By the end of this course, you will have access to all example script and data such that you will be able to accessing, ing, visualizing big data, and extracting information.

In this course we will cover the following topics:

Introduction to Earth Ee Python API

Install the QGIS Earth Ee Plugin

Load Landsat Satellite Data

Cloud Masking Algorithm

Calculate NDVI

Access Sentinel, Landsat, MODIS, CHIRPS, and VIIRS data

Export images and videos

Process image collections

CART classification

Clustering analysis

Linear regression

Global Land Cover Products (NLCD, and MODIS Land Cover)

One of the common problems with learning image processing is the high cost of software. In this course, I entirely use the Google Earth Ee Python API and QGIS open source tools. 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.

Best,

Dr. Alemayehu Midekisa

This course is meant for professionals who want to harness the power Google Earth Ee Python API and QGIS

People who want to understand various satellite image processing techniques using Python

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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