P.G. Diploma in Applied Remote Sensing & GIS (Geoinformatics)

by Computer Aided Design (CAD) Centre

Paper

No. of Theory Classes

No. of LAB Classes

Total No. of Classes

Information Systems

Introduction to computer: What is computer, various types of computer, hardware, system software, application software, concept of memory, concept of networking, etc.

1

-

1

Number systems and file structure: number systems, concept of data, file & folder, logic gates, concept of program (how a computer program works), etc.

1

-

1

System Software (Windows): Getting familiar with computer, booting, desktop, folder & file, Notepad/WordPad, MS-Paint

1

1

2

Word Processor (MS-Word): Introduction, page setup, font, font style , color, header & footer, footnote, inserting picture, wrapping textbox, hyperlink, table, equation editor, etc.

1

1

2

Spread Sheet (MS-Excel): Page setup, inserting rows/columns, worksheet, chart, function, text to column, formatting cell, color, calculation using function, etc.

2

2

4

Introduction to DBMS: Data/information/knowledge, database, DBMS/RDBMS, advantages over file system, components of DBMS (table, form, report, query), different types of keys

1

-

1

Commercial Database Design & development (using MS-Access):

i) Designing database, creating table, fields, data entry

ii) Query based on SQL

iii) Forms and reports, export/import

3

3

6

Advanced theory on DBMS:

1. Schema, data dictionary, abstract level of database (conceptual, logical, and physical), ANSI generalized database architecture, and database language

2. Different types of data model, mathematical background of relational model (structural, manipulation, integrity), Codd’s rules

3. Conceptual database design by E-R diagram

3

-

3

Commercial Database Design & development (using Oracle):

1. Client server model, data types, column/table constraints, table creation, record insertion, view data dictionary

2. Data modification and alteration of table structure, functions

3. Sub-query, joining, transaction processing, user creation

3

3

6

Concept on Remote Sensing: Definition, data (in situ / remote sensing), remote sensing process

1

-

1

Remote Sensing platforms and sensor characteristics: Platforms, passive/active, orbits, swath, nadir, sensor resolutions, image referencing system, orbital calendar

1

-

1

Introduction to Remote Sensing and Image Interpretation

Photographic imaging: Camera, filter, film, vantage point

1

-

1

Visual interpretation of photographic images: Interpretation elements, interpretation of optical images, interpretation keys, mapping geographic features, practical

1

1

2

Digital optical imaging: Digital image, sensor, detector, image acquisition, PAN, multispectral, hyperspectral, digital camera

1

-

1

Digital image processing (enhancement): DIP system, digital image (data format, metadata/header file), image display (RGB), image reduction/magnification, colour combinations, transact

1

-

1

Visual interpretation of digital images (using ERDAS Imagine): Opening an image, zoom, pan, band combination, image info, pixel inquiry, multilayer arrangement, image co-ordinates, header file, save as, etc.

1

1

2

Concepts on co-ordinate system: Map, scale, coordinate systems, sphere/spheroid, datums, projection, projection parameters

1

-

1

DIP (pre-processing and enhancement): Georeferencing, RMS error, transformation and resampling, contrast enhancement

1

-

1

Visual interpretation of digital images (using ERDAS Imagine): Image profile (choosing appropriate band/s), contrast enhancement

1

1

2

Pre-processing (using ERDAS Imagine):

1. Georeferencing (image to image, image to ground, image to map)

2. Mosaicking, AOI tools, subsetting (spatial and spectral)

2

2

4

Geographical Information Systems

Overview of GIS: Introduction to GIS, definition of GIS, spatial data, attribute data, functions and advantages of GIS

1

-

1

Spatial data model: Conceptual (field/object) and logical (raster/vector/object oriented)

1

-

1

Process of GIS: Data sources, data capture (raster/vector/attribute)

1

-

1

GIS using MapInfo:

1. Introduction, table creation, raster handling, georeferencing (image to map), Projection, R2V data conversion, layer control, etc.

2. Georeferencing (image to ground), R2V, vector editing

3. Geocoding, co-ordinate extraction, external database attachment, zoom level

3

3

6

Geospatial analysis: Database query, proximity analysis, classification and reclassification, chart, report, layout

1

-

1

GIS using MapInfo:

1. Thematic map, label, layout

2. Charts, graphs, vector registration

3. Attribute query, proximity, spatial query

3

3

6

Geographical Information Systems

GIS using Autodesk Map:

1. Cartesian co-ordinate, polar co-ordinate, primitives, text, erase, undo, redo

2. Vector editing

3. Layer control, linetype, linetype scale, line weight, colour

4. Image insert, R2V

4

4

8

Complex spatial data model: Topology, thematic (raster and vector), vector cleaning

1

-

1

GIS using Autodesk Map:

1. Blocks, vector cleaning, topology (polygon)

2. Topology (network, node), data attachment, vector analysis

3. Map publication

3

3

6

Examination

3

3

6

Total

49

31

80

Paper

No. of Theory Classes

No. of LAB Classes

Total No. of Classes

Advanced GIS and GNSS Technology

Advanced GIS: database to knowledge base approach, metadata standards, concept of geodatabase, advanced GIS data types

1

-

1

GIS using ArcGIS:

1. Introduction to ArcGIS Desktop

2. Image Georeferencing (image to image, inage to ground), metadata editing, projection

3. Geodatabase design, vector (generation/editing)

4. Add XY data, external data attachment, create relationship, query

5. Thematic map, annotation, layout

6. ArcScan: Automated R2V conversion

6

6

12

Advanced geospatial analysis: Overlay operations, geocoding, network analysis

1

-

1

GIS using ArcGIS: Geoprocessing and workflow model

1

1

2

GIS using ArcGIS: Geocoding, network analysis

1

1

2

Advanced GIS:

1. Surface model and surface analysis

2. Virtual environment, raster algebra, zonal statistics, surface interpolation

2

-

2

GIS using ArcGIS:

1. TIN/DEM creation, slope/aspect, hillshade, viewshed, 3D model, ArcGlobe

2. Suitable site finding, shortest path analysis, interpolation (spline, kriging)

3. Animation in ArcMap, Import/Export

3

3

6

Advanced GIS and GNSS Technology

Advanced concepts on GIS: Web GIS, time dimension (4D GIS/real-time GIS), Planning, implementation and management of GIS

1

-

1

GNSS Technology: Introduction, concept of GNSS technology, three segments of GNSS, timing and ranging, calculating location, errors, differential GNSS, applications

1

-

1

Practical on GNSS:

1. Using a GNSS receiver, GCP collection (field survey)

2. Downloading the data from GNSS receiver, georeferencing a map, R2V conversion

3. Field survey with GNSS receiver

4. Mapping with GNSS survey data

-

4

4

Digital Image Analysis and Photogrammetry

DIP (enhancement and transformation): Spatial frequency, filtering (convolution, statistical, crisp), image addition, image subtraction, image multiplication, index

1

-

1

Image filtering and transformation (using ERDAS Imagine): Convolution, crisp, change detection, index (iron oxide, clay, NDVI)

1

1

2

DIP (Transformation): Colour space transformation, PCT, TCT, FFT, fusion

1

-

1

Image transformation (using ERDAS Imagine): Colour space transformation, TCT, FFT, fusion

1

1

2

Thermal remote sensing: Imaging techniques, thermal properties of terrain, black body, thermal inertia, interpretation of thermal image

1

-

1

Microwave remote sensing: Passive and active microwave remote sensing, radar imaging, frequency, polarization, viewing geometry, spatial resolution, speckle, surface geometry, surface roughness, dielectric properties, interpretation of radar image

1

-

1

DIP (Classification): Information class, spectral class, supervised vs. unsupervised, decision rules for unsupervised classification

Image classification using ERDAS imagine: Unsupervised classification

1

1

2

DIP (Classification): Decision rules for supervised classification, accuracy assessment, post-classification filtering

1

-

1

Image classification using ERDAS Imagine:

1. Supervised classification, accuracy assessment

2. Unsupervised classification of NDVI image, post-classification vectorisation

3. Layer stack, supervised classification using optical bands in addition to PC images and indexed image, post-classification filtering

3

3

6

Presentation and publication using ERDAS Imagine: Map composition, import/export

1

1

2

Digital Photogrammetry: Image acquisition, geometric distortion, orientation and triangulation, digital stereo model, parallax, DEM generation, orthorectification, 3D feature

1

0

1

Digital Image Analysis and Photogrammetry

Digital Photogrammetry using ERDAS Imagine (anaglyph mode):

1. Non-oriented and oriented DSM, checking the accuracy of DSM, measuring 3D information

2. Collecting and editing 3D GIS data, automated DTM extraction, orthorectification

3. Irregular terrain observation and interpolation to create a DEM, DEM editing

3

3

6

Virtual GIS in ERDAS Imanine: Creating virtual environment, navigation, flight path, movie generation etc.

1

1

2

DIP using PCI Geomatica:

1. Open, save, colour composite, visualization tools, measure tool, import/export

2. Subsetting, image profile, spectral plot, custom contrast enhancement, filtering, PCA, image fusion, data merge, NDVI

3. Georeferencing (image to image and image to ground), mosaicking

4. Working with DEM, Unsupervised classification

5. Supervised classification, Accuracy assessment, post-classification filtering

6. Image subtraction (change detection), classification of change image (unsupervised), post-classification vectorization, layout

6

6

12

Project

A Project of 60 hours duration (equivalent to 15 number of Lab classes of 4 hours duration)

-

15

15

Examination

2

2

4

Total

42

49

91

Papers

Full Marks

Theory

Sessional

100

100

-

Introduction to Remote Sensing and image interpretation

100

100

-

Geographical Information System

100

100

-

Papers

Full Marks

Theory

Sessional

100

100

-

Digital Image Analysis and Photogrammetry

100

200

-

Project (viva)

-

-

400