Advanced GIS and Remote Sensing Analysis with ArcGIS

5 Available Seats with 50% Discount

Rated 5.00 out of 5 based on 2 customer ratings

(2 customer reviews)

Category GIS, Remote Sensing

Course Contents

Class Start: Any time privately you can start.

For registration contact this WhatsApp number: +8801780942798 or email: rmijanur10266@gmail.com

Total Class: 20+ days (one day in a week)

Class Duration: 2 hours (Each day)

Time: depends on you

Training language: English

1. Introduction and Overview of GIS
– Understanding the fundamentals of Geographic Information Systems.
2. Data and Spatial Data Model
– Exploring different types of data and spatial data models.
3. GIS Maps, Map Projection, and Coordinate System
– Navigating through GIS maps, map projections, and coordinate systems.
4. Introduction to ArcGIS Desktop
– Familiarizing with the ArcGIS Desktop environment.
5. Managing Data with ArcCatalog:
– Learning data management techniques using ArcCatalog.
6. Digitization and Data Capture from Maps:
– Acquiring skills in digitization and capturing data from maps.
7. Spatial Analysis:
– Understanding spatial analysis techniques.
8. Suitability Mapping:
– Applying GIS for suitability mapping scenarios.
9. River Erosion and Accretion:
– Analyzing river erosion and accretion using GIS.
10. Interpolation Techniques:
– Exploring methods for spatial data interpolation.
11. River Density / Drainage Density
– Analyzing river density and drainage patterns.
12. River Stream
– Studying river stream characteristics.
13. Catchment Area
– Defining and analyzing catchment areas.
14. Flood Susceptibility
– Assessing flood susceptibility through GIS.
15. DEM- Understanding Digital Elevation Models.
16. Slope, Aspect, Hill Shade
– Analyzing terrain characteristics.
17. Determining distances to road networks.
18. Calculating distances to river networks.
19. Introduction to Remote Sensing: -Introducing the basics of remote sensing.
20. Landslide Mapping:- Mapping and analyzing landslide-prone areas.
21. NDVI Mapping -Utilizing Normalized Difference Vegetation Index for mapping.
22. NDVI Classification: – Classifying NDVI data for vegetation analysis.
23. SAVI (Soil-Adjusted Vegetation Index)
24. Performing calculations on raster data.
25. Mapping Land Use and Land Cover changes and detecting alterations.
26. Accuracy of LULC:
– Evaluating the accuracy of Land Use and Land Cover mapping.
27. Generating contour maps for topographic representation
28. LST Mapping using ArcMap:
– Mapping Land Surface Temperature
29. Incorporating CSV location data into GIS projects
30. Geological Mapping using ArcMap:
– Applying GIS for geological mapping and analysis.

2 reviews for Advanced GIS and Remote Sensing Analysis with ArcGIS

Rated 5 out of 5

عيسى الجبوري – February 16, 2026

امتياز
Rated 5 out of 5

DUSHIMIMANA Remy – February 17, 2026

Very helpful course for future spatial planners mostly for youths

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