
Explore core remote sensing and GIS tasks in ArcGIS and Erdas, including data management, satellite imagery integration, and basic to advanced workflows for real-world projects.
Examine the software tools used in this remote sensing and GIS course, focusing on image processing tasks across multiple tools. Master each task with whichever software is applicable.
Learn licensing basics for ArcGIS and Erdas, distinguishing proprietary software from open source, and discover how institutions and students access licenses, with emphasis on cost and provider contact.
Explore how geographic data is projected from the curved earth to a flat plane using various projection systems, including geographic coordinate system, conic projections, and UTM, for accurate map analysis.
Receive guidance on submitting suggestions before ratings, and consider rating after watching 50 percent, while prioritizing hands-on learning for real-life projects via a basic video-first path and Q&A discourse.
Georeferencing links pixel locations to latitude and longitude, enabling your computer to place digital images on the earth, permitting accurate analysis and map overlay.
Connect to your data folders in ArcGIS by adding folder connections to local drives, then organize and load data before starting a remote sensing and GIS project.
Connect a folder as a project folder in ArcGIS to streamline access to data. Add the folder once, then view its contents instantly without repeated browsing.
Georeference in arcgis by assigning a projection, selecting a geographic coordinate system, adding data, and using control points to rectify to decimal degrees, creating a copy to preserve originals.
Learn to find the UTM zone using GIS by loading a reference system file, adding and rectifying layers, adjusting labels, and interpreting area values shown by the map.
reproject data by applying a projection into a coordinate system, then export spectral reference data to a chosen output folder, and verify the coordinate system in properties.
Create a basic shapefile in ArcGIS by defining a polygon feature and setting its coordinate system. Edit the boundary accurately, save edits, and organize the project within folders.
Save your work in a folder to resume later by saving a project file that links to data, then reopen to continue from where you left off.
Create two polygons with the same boundary in a shapefile using edit features and auto complete polygon in ArcGIS; start inside a polygon, then double-click to finish and save edits.
Enable the editor toolbar, start editing in ArcGIS, and use circle, center, and corner snapping to ensure vertices snap to lines for higher digitisation accuracy.
Learn to cut polygons by selecting the polygon, using the polygon tool from the edit toolbar, and starting and ending the cut outside the area to create two separate polygons.
Learn to join two polygons by editing in the editor toolbar, selecting both polygons with the pen tool and shift-click, then using the edit toolbar to merge and confirm.
Define and edit an attribute table for polygon features, adding fields like category, name, and remarks; populate and save attributes to enable meaningful symbology.
Apply attribute table data to map symbology by category, assigning colors for agriculture, city, forest, and water, adjust values, and view color changes in ArcGIS.
Create a point shapefile and enter rainfall data by using arc catalog, editing attributes, and setting a coordinate system, then add fields and capture weather station observations for interpolation.
Create a road line shapefile by defining a polyline feature, setting the projection, and editing road features; build an attribute table with a name field and assign road names.
Display feature names by labeling attributes in the map, using the label field and properties, then adjust category and symbology for clear visualization.
Learn how to calculate the area of multiple shapes in square kilometers by adding an area field, computing geometry, setting units, and formatting decimal places in ArcGIS or Erdas.
Display multiple data by labeling features with names and areas, define classes and label each class differently, apply colors, and show kilometre square symbols.
Download shapefiles for country, state, or district data, verify projection, and use ArcGIS tools to select features and export them as new shapefiles to isolate specific regions.
Learn how to clip a shapefile with another to extract the inside shapes, using the clip tool, defining input feature and output, and understanding hollow boundaries in ArcGIS Erdas.
Add online base maps and compare your data against satellite imagery and street maps to verify accuracy, understanding loading times and internet requirements.
Download and install QGIS, the open source GIS tool, choosing 64-bit if your computer supports it. Then download a street map and load it into QGIS for mapping tasks.
Download street level vector data from OpenStreetMap using the Overpass API, select an area by latitude and longitude, export and download, then convert the file for GIS use.
Convert various vector data types to shapefiles by using the data source manager to add lines, polygons, and points, then export each feature as a shapefile for GIS workflows.
Connect to a web map service by adding a WMS from an online server, select land use data, view layers, and export the map to the Djibouti format.
Explore how satellite images are structured and the role of red, green, blue, near infrared, and thermal bands, with free options like Landsat and Sentinel and cloud-free imagery.
Understand how satellite orbits affect data capture dates, with north-south pole passes causing 10 to 15 day differences and cloud disruptions, and learn basic processing using USGS data.
Explore the Landsat band info site for satellite band documentation and NASA resources, with downloadable data to support your remote sensing study.
Learn to download satellite images by selecting area on the map, searching by place name or coordinates, and choosing Landsat 8 data with under 10% cloud to create a mosaic.
Process downloaded satellite images in ArcGIS using embedded scripts, create single color composites from multispectral bands, adjust display, and export processed data from USGS sources.
Master manual processing in ArcGIS for remote sensing by selecting bands, building image composites, and exporting data to refine spectral signatures.
Stack satellite images in ERDAS by stacking multiple files, selecting spectral bands, and saving a processed multi-band TIFF for improved image visualization.
Learn to set no data values in ERDAS by selecting an image, computing statistics, and applying no data to remove black pixels and prepare images for analysis.
This lecture explains how to prepare satellite images for mosaicking by selecting low-cloud, month-to-month images, matching brightness, and removing bad data through precise edge cutting and subsets.
This course covers Basic tasks to do any real-life project. Learning of Basic of any software is different than the basic task that will enable you to do real-life project. After this course, you will be able to do any real life project. After learning any software when we start any project we face many real world data problems. This course covers all the task that are required to handle any type of GIS data. Even non GIS data to GIS.
The theory behind tools, how it works. Hands-on tools. Perfect Mosaic in Erdas, satellite data, Digital Elevation Model, Most of the things covered that required for Mast of GIS students, PhD students and Civil Engineers, Irrigation and Hydrology Engineers. If you have missed your practical classes of GIS, then this course is for you. It covers the whole practical syllabus of GIS, even more than it. It also covers Error resolving is software, issue with Satellite data. Compared same task output on different software. This will enable you to do any real life project. Content are decide based on real life problems which my Engineer student faced in field. Sometimes satellite image not provide sharp resolution data then we take Help of Google Earth, How use that Data in GIS. Even how we can use our Good Android Phone to Survey up to 3meter GPS accuracy by calibration its GPS. Later how we can use in GIS. Other than working with Data we need to represent in Best way. A best presentation of Data is considered to be Good work, so I have also covered how to make research ready GIS layouts. How we can improve satellite image improve resolution up to 15 meter and Processing of 10-meter satellite data. Getting Earthwork of Reservoir volume, converting to 3D. Mosaicking of Digital Elevation Model. Getting Drainage and watershed, stream order. Changing the projection of data. Advance labelling using scripts. Handling NetCDF data. Generation annual rainfall map and interpolation of Data. On Other side NDVI is covered. Cutting Study area for the project and deleting bad data from satellite image and vector files using smart tricks covered. How to reference data without latitude longitude and make it usable. Even how to get street level data from online sources and convert to GIS format. Cutting shapes with shapes. Handling attributes and calculation on that. Data conversion between raster and vector of multiple type. Small mini project also shown how to use a combination of tools to do one task. Even to find the right UTM Zone for your area. Also covers Excel data to GIS. Getting lat long, Making Grid, If you missed your GIS practical classes, then it is for you.
Covered 90% hands on and 10% theory on basics.
It does not matter which version of the software you have. Tool covered applicable to all version of ArcGIS 10.1 or 10.7 or above. Similarly Applicable to all versions of Erdas 2015 or 2018 and above.
Try Not to jump between videos, many future video required concept covered in past videos.
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Real-life GIS Problems that solved by this course
In real life GIS project, we face many problems,
Like We get data but not from toposheet
Or we have the number of Excel sheets that need to convert to map,
The study area lies in Two or more satellite images that are totally different.
Sometime Station data not available for weather analysis.
Counting vegetation in a fraction of second NDVI
or, Still typing attribute open by one.
Still making road maps by Digitizing, When QGIS helps a lot in combination with ArcGIS
Want to represent multiple labels in Shapefile
Mouse control is not good, autocorrection
Advanced Editing of Shapefiles.
The Best one Presenting work in the Best way so that everyone thinks, you really did Much Hard work.
The best way of result presentation like high impact factor journals,
Then This course is for you.