Landuse landcover with machine learning using ArcGIS only
ArcGIS only machine learning for Landuse classification
Landuse landcover with machine learning using ArcGIS only free download
ArcGIS only machine learning for Landuse classification
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 learning
Using only and only ArcGIS
Post classification pixel correction
Fast method of landuse making
Understanding 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.
Highlights :
Land use mapping
Land cover classification
ArcGIS machine learning
SVM land use classification
Random Forest land use mapping
Post-classification pixel correction
ArcGIS pixel correction
Supervised training ArcGIS
Land use errors correction
Urban area misclassification corrections
Barren land classification corrections
Riverbed misclassification corrections
Single software land use mapping
ArcGIS only land use mapping
High-accuracy land cover mapping
Machine learning in ArcGIS
Land use mapping techniques
Land cover classification errors corrections
