Udemy - Remote Sensing for Land Cover Mapping in Google Earth Engine

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Udemy - Remote Sensing for Land Cover Mapping in Google Earth Engine (Size: 1.8 GB)
  1. Globe Cover.mp4 39.3 MB
  1. Introduction to Earth Engine.mp4 19.4 MB
  1. JavaScript Syntax.mp4 51 MB
  1. Processing Landsat Data.mp4 150.1 MB
  1. Processing MODIS Data.mp4 70.9 MB
  1. Processing Sentinel Data.mp4 88.2 MB
  1. Training Reference Data.mp4 228.5 MB
  1. Unsupervised Classification.mp4 175.1 MB
  1. Water Change Analysis.mp4 155.4 MB
  2. Classification with Landsat.mp4 111.3 MB
  2. Classification with MODIS.mp4 63.1 MB
  2. Classification with Sentinel.mp4 65.7 MB
  2. Code Editor.mp4 110.2 MB
  2. Explore Earth Engine.mp4 117.8 MB
  2. Forest Change Analysis.mp4 135.8 MB
  2. MODIS Land Cover.mp4 46.7 MB
  3. Confusion Matrix.mp4 40.8 MB
  3. NLCD Land Cover.mp4 58.4 MB
  3. Sign Up with Earth Engine.mp4 29.6 MB
  Assignment Clustering.html 307.2 B
  Assignment Water Change Analysis.html 307.2 B
  Bonus Lecture.html 3.7 KB
  Bonus Resources.txt 307.2 B
  Final Project.html 716.8 B
  Forest-Change-Analysis.txt 1.1 KB
  Get Bonus Downloads Here.url 204.8 B
  LinearRegressionwithR.R.R 14.9 KB
  MODISLandCover.txt 819.2 B
  SupClassLandsat.txt 4.7 KB
  UnsupervisedClassification.txt 1.9 KB
  ▲ 32 total files

Description


Remote Sensing for Land Cover Mapping in Google Earth Engine
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.83 GB | Duration: 2h 24m
Learn machine learning, big data and land use land cover classification using Google Earth Engine cloud API
What you'll learn
Learn to apply land use land cover classification using satellite data
Land use land cover change detection analysis
Perform accuracy assessment of land use classifications
Download, and process satellite images
Learn digital image processing
Digitize reference training data
Understand satellite image bands and spectral indices
Predict new land use land cover products
Access global land use land cover products
Requirements
This course has no requirements.
Description
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 Remote Sensing for Land Cover Mapping in Google Earth Engine course and master land use land cover classification on the cloud.

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