Udemy - Spatial Data Analysis with Earth Engine Python API

[ DevCourseWeb.com ] Spatial Data Analysis with Earth Engine Python API



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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 23 lectures (2h 15m) | Size: 937.2 MB

Learn machine learning, big data analysis, GIS, remote sensing with Earth Engine Python API and Jupyter Notebook

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?



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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