Complete Remote Sensing and GIS – ArcGIS – Erdas
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- The lowest price of Complete Remote Sensing and GIS - ArcGIS - Erdas was obtained on October 31, 2025 8:15 pm.
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Complete Remote Sensing and GIS – ArcGIS – Erdas
$64.99 Original price was: $64.99.$10.00Current price is: $10.00.
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Complete Remote Sensing and GIS - ArcGIS - Erdas
★★★★★
$64.99
in stock
Udemy.com
as of October 31, 2025 8:15 pm
Real life GIS Basics DEM, Mosaic, NDVI, 3D, Excel to GIS, ArcGIS, ERDAS, Image Processing, NetCDF, Rainfall Data, Layout
Created by:
Lakhwinder Singh
Advanced GIS and Machine Learning
Advanced GIS and Machine Learning
Rating:4.2 (294reviews)
1751students enrolled
What Will I Learn?
- Basics of GIS in Depth
- Georeferencing
- Projection system understanding and use.
- Working with vector data
- GIS data entry and Handling
- Cutting different type of Data Raster with vector and vector with vector
- Colorize map based on attribute data
- Area and length calculation
- Displaying data with Advance methods
- Downloading of GIS data of different type Raster, Vector Street data and Process
- Linking to WMS Servers
- Understanding Satellite image and best images to Download
- Increasing image quality and resolution
- Processing of 10 meter resolution data
- Mosaicing of satellite images
- Cutting Study Area using ArcGIS and Erdas
- All the Spatial analysis and surface analysis
- Hydrology tools and watershed
- 3D Representation
- Making 3D animation of GIS data and Export to Video
- Volume calculation
- Converting Excel data to GIS Shapefile
- Thiessen Polygon
- Solar Radiation calculation of Area
- Interpolation of Data
- NetCDF file handling and getting data - Interpolation
- Making annual rainfall map from NetCDF data with calculation
- NDVI
- Image to Image Georeferencing
- Working with GPS data
- Collection GPS points using Android and use in GIS
- Making Research Ready Layouts
- The basic concept of GIS
- Basic GIS and mapping
Requirements
- Software used are not open source You Need to manage it
- At least you know Basic like Excel.
Target audience
- Student of GIS
- PhD Student of Satellite data analysis
- Research Scholars
- Water Resource Students and Engineers
- Civil Engineers
- Professors of GIS
- GIS Analyst
- Policy makers
- Survey persons working with GPS data
- Earth Science University Level Students
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