Ditulis pada: May 06, 2020
- Created by Spatial eLearning, Dr. Alemayehu Midekisa
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Do you want to implement land cover classification algorithm on the cloud?
Do you want to quickly gain proficiency in digital image processing and classification?
Do you want to become a spatial data scientist?
Enroll in this Land Use Land Cover Classification with Earth Engine API course and master land use land cover classification on the cloud.
In this course we will cover the following topics:
Unsupervised Classification (Clustering)
Training Reference data
Supervised Classification with Landsat
Supervised Classification with Sentinel
Supervised Classification with MODIS
Change Detection Analysis (Water and Forest Change Analysis)
Global Land Cover Products (NLCD, Globe Cover and MODIS Land Cover)
I will provide you with hands-on training with example data, sample scripts, and real-world applications.
By taking this course, you will take your spatial data science skills to the next level by gaining proficiency in processing satellite data, applying classification algorithm and assessing classification accuracy using confusion matrix. We will apply classification using various satellites including Landsat, MODIS and Sentinel.
Jump in right now to enroll. To get started click the enroll button.
Who this course is for:
Anyone interested in land use land cover classification.
Anyone who wants to quickly gain proficiency in digital image processing and classification.
Anyone who needs experience with implementing land cover classification on the cloud.
Anyone wants to become a spatial data scientist.
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