Free Download Landuse landcover with machine learning using ArcGIS only
Published 6/2024
Created by Lakhwinder Singh
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 9m ) | Size: 2.35 GB
ArcGIS only machine learning for Landuse classification
What you'll learn:
Make landuse with machine learning methods
Train and use Machine learning model within ArcGIS
Use of ArcGIS for landuse change
Generation of research ready map layout
Calculation using pixels
Processing of 10m resolutiuon data
Requirements:
Must know the basic of GIS
Description:
This on-demand course was created in response to user requests. Many users expressed frustration with having to use multiple software programs for GIS tasks, such as performing land use classification in one program, land use change detection in another, and pixel correction (post-classification) in yet another. In this course, all tasks are performed exclusively using ArcGIS. From data preparation to data representation, this course covers every important task, ensuring a seamless and efficient workflow within ArcGIS. This course covers SVM and random forest methods for classification with supervised methods. So all the landuse is not perfect some pixels remain wrong classified such as sometimes the river bed is classified as an urban area. This is a common problem in most landuse classifications. So in this course, I have covered how to correct this type of error pixels using ArcGIS only. Landuse change using ArcGIS is also covered. Research-level layout creation is also covered and accepted by most journals with high-quality maps. Key Highlights:Landuse using machine learningUsing only and only ArcGISPost classification pixel correctionFast method of landuse makingUnderstanding of satellite image in infrared. Landuse change detection.Making of confusion matrix and calculation of changes. Note: This is an expert-level course so I assume you know all the basics of GIS.
Who this course is for:
Course for Advanced users
Phd and Master student of Universities
Final year students seeking project
Covers pratical of GIS as per syllabus of most of universites around world
Homepage
Code:
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