What you’ll learn
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Fully understand advanced methods of Land use and Land Cover (LULC) Mapping in QGIS and Google Earth Engine
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Learn how to perform such advanced methods as object based image analysis (OBIA) and object-based classification using real-world data in QGIS
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Further advanced your skills in the most popular open-source GIS and Remote Sensing software tools (QGIS)
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Learn how to obtain satellite data, apply image pre-processing, create training and validation data for OBIA in QGIS and Google Earth Engine
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Apply advanced Machine Learning image classification algorithms
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Create and download LULC maps for your report
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Explore the power of Google Earth Engine for image analysis
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You’ll also have plenty of handy hints and tips will be provided alongside the code to prevent glitches
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You’ll have a copy of the labs’ step-by-step manuals used in the course for your reference to use in your analysis.
Who this course is for:
- Geographers, Programmers, geologists, biologists, social scientists, or every other expert who deals with GIS maps in their field
Can I download Machine Learning in GIS : Land Use Land Cover Image Analysis course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Machine Learning in GIS : Land Use Land Cover Image Analysis course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
