Why Learn RS and GIS?

Remote Sensing (RS) and GIS are essential tools in modern geography, environmental studies, planning, and research. This course will help learners gain both conceptual clarity and hands-on skills for academic and professional applications.

✔ Easy-to-follow teaching-learning
✔ Focus on research & teaching applications
✔ Learn popular software – QGIS, SAGA, ArcGIS, ERDAS, GEE

Special Features

• Small batches (10 learners) for better interaction
• Individual counselling for learners for their own work/projects
• Comprehensive handouts & exercises
• Practical training with real datasets
• Online weekend classes with flexible timings
• Access to recorded sessions

Detailed Course Structure

Session No.	Topic	Focus / Tools
Understand How RS System Works
1	Introduction to RS & GIS; Components of RS system, EM spectrum overview	Conceptual
2	Sensors, resolutions, satellites (Landsat, Sentinel, IRS), data formats	Conceptual
3	Data acquisition (USGS, Copernicus, Bhuvan), metadata, preprocessing basics	Demonstration
Fundamentals of GIS
4	GIS basics – spatial & non-spatial, vector & raster, projections	Conceptual
5	Introduction to GIS software (QGIS, ArcGIS, SAGA, ERDAS)	Demonstration
6	Data input – shapefiles, spreadsheets, GPS data	QGIS/ArcGIS
7	Editing vector data – geometry, digitization, attributes	QGIS/ArcGIS
8	Attribute table operations – joins, queries, field calculator	QGIS/ArcGIS
9	Georeferencing maps & satellite images	QGIS/ArcGIS
10	Basics of cartography – symbology, labeling, layouts	QGIS/ArcGIS
Vector Data Analysis
11	Digitization – points, lines, polygons	QGIS/ArcGIS
12	Overlay analysis – union, intersect, buffer	QGIS/ArcGIS
13	Topology – adjacency, connectivity, containment	QGIS/ArcGIS
14	Network analysis – shortest path, service area	ArcGIS/QGIS
15	Thematic mapping – population density, land use	QGIS/ArcGIS
16	Vector spatial queries & geoprocessing	QGIS/ArcGIS
17	Project – village resource mapping (vector)	QGIS/ArcGIS
Raster Data Analysis
18	Raster basics – pixels, resolution, display	QGIS/ArcGIS
19	Unsupervised classification	QGIS/ArcGIS
20	Supervised classification	QGIS/ArcGIS
21	Visual image classification using ArcGIS Base Map	ArcGIS
22	Accuracy assessment – confusion matrix, kappa	QGIS/Excel
23	Raster algebra – NDVI, NDBI, NDWI	QGIS/ArcGIS
Advanced Raster Analysis
24	Band ratio & indices (EVI, GNDVI, ARVI, SAVI)	QGIS/ArcGIS
25	Estimating soil moisture (Soil Moisture Index)	QGIS/ArcGIS
26	Estimating Leaf Area Index (LAI)	QGIS/ArcGIS
27	Calculating Land Surface Temperature (LST)	QGIS/ArcGIS
28	Mapping Urban Heat Island	QGIS/ArcGIS
29	Mapping Urban Green Spaces	QGIS/ArcGIS
30	Mapping Forest Fires	QGIS/ArcGIS
Terrain & Hydrological Analysis
31	DEM analysis – slope, aspect, hillshade	QGIS/ArcGIS
32	Watershed area delineation using DEM	QGIS/ArcGIS
Advanced Spatial Analysis
33	Analytical Hierarchy Process (AHP)	QGIS/Excel/Web
34	Site suitability analysis (workflow)	QGIS/ArcGIS
35	Spatial statistics – density, hot spot	QGIS/ArcGIS
36	Map composition – publishing quality maps	QGIS/ArcGIS
37	Google Earth Engine (GEE) – interface & datasets	GEE (Web)
38	Hands-on GEE – processing, clipping and exporting data/maps	GEE (Web)
Applications in Research & Teaching
39	Urban studies – expansion, sprawl, heat island	QGIS/ArcGIS
40	Environmental studies – deforestation, wetlands	QGIS/ArcGIS
41	Resource management – agriculture, water, mining	QGIS/ArcGIS
42	Disaster management – flood, drought, landslides	QGIS/ArcGIS
43	Integrating RS, GIS & GPS in research	Concept + tools
44	Dissertation/project methodology – writing with RS/GIS	Concept
45	Case study – urban land use change detection	QGIS/ArcGIS
46	Case study – water resource assessment	QGIS/ArcGIS
47	Designing teaching materials with GIS (maps, visuals)	QGIS/ArcGIS
48	Course review, project presentations, feedback	All tools