per person /
Free
Domain Track: Aerial Surveying and Remote Sensing Applications
Teacher
Prafulla Kumar Panda
Category
Domain Courses
Course Attendees
Still no participant
Course Reviews
Still no reviews
Track Total Credits ( T-P-P): 4-10-4
Courses Division:
- Remote Sensing & Digital Image Processing (CODE: CUAS2020) (2-2-0) 45Hours
- Geospatial Technology and its Application (CODE: CUAS2021) (2-2-0)45Hours
- Photogrammetry and its Application (CODE: CUAS2022) (0-2-0) 25Hours
- Lidar Remote sensing and its Applications (CODE: CUAS2023) (0-2-0) 25Hours
- Hyper-spectral Remote Sensing and its Application (CODE: CUAS2024) (0-2-0) 25Hours
- Project (CODE: CUAS2025) (0-0-4) 54Hours
Domain Track Objectives:
- Apply the principles of Remote Sensing and GIS to collect, map and retrieve spatial information.
- Plan, assess and evaluate natural and manmade systems using geospatial models and methods.
- Use geospatial tools and techniques for natural resources planning and management.
- Pursue research and develop capabilities to handle multi-disciplinary field projects.
- Work in teams and demonstrate leadership skills with professional ethics
Domain Track Learning Outcomes:
- Identify specific data and methodologies for effective mapping and evaluation of natural resources.
- Develop geospatial models and tools to address the social and engineering problems
- Design multi-criteria geospatial systems for decision-making process
- Work in a team using geospatial tools and environment to achieve project objectives.
- Pursue lifelong learning for professional advancement
| COs | Course outcomes | Mapping COs with POs (High-3, Medium-2, Low-1) |
| CO1 | Able to identify specific data knowledge and analyses methodology for effective mapping and evaluation resources. | Engineering Knowledge PO1 (3), Problem Analysis PO2 [1] |
| CO2 | Understand the geospatial models skills address to the social and engineering problems. | Conduct investigations of complex problems PO4 [1], The engineer and society PO6[1] |
| CO3 | Design multi-criteria geospatial systems for decision-making process. | Design/development of solutions PO3 (2) |
| CO4 | Work in a team using geospatial tools and environment to achieve project objectives. | Individual and Team work PO9(3) |
| CO5 | Pursue lifelong learning for professional advancement. | Life-Long learning
PO12 (3) |
Domain Syllabus:
1. Remote Sensing and Digital Image Processing (Code: CUAS2020) (2-2-0) 45 Hours
1.1 Basic Concept of Remote Sensing (4+6) Hours
Introduction of Remote Sensing: Principles of RS and its Type; Energy sources and Radiation principles, Pixel, DN value, Energy equation; EMR and Spectrum; EMR interaction with Atmosphere; scattering, Absorption, Atmospheric window, Black body radiation; EMR interaction with earth surface features, reflection, absorption, emission and transmission, Spectral signature; Interaction with vegetation, soil, water bodies; Advantage of RS over conventional method, Limitation, Ideal remote sensing.
Practice:
- Installation of Image Processing software’s
- Download satellite data from GLOVIS / Earth Explorer / Bhuvan etc.
- Layer stacking
- LUT and Image Subset
- Spectral Signature mapping (soil,vegetation,water)
1.2 Digital Image (2+3) Hours
Data acquisition: Procedure, Reflectance and Digital numbers; Intensity, Reference data, Ground truth, Analog to digital conversion, FCCs, TCC, Platforms and sensors; orbits ,types, Resolutions; Image Interpretation; visual- Interpretation keys.
Practice:
- FCCs and TCC
- Resolution
- Image Interpretation
1.3 Satellite Information and Principles (2+3) Hours
Land observation satellites, characters and applications; PSLV, GSLV, Satellite, Platform Types; LANDSAT series; IRS series; IKONOS Series; QUICKBIRD series; Weather/Meteorological satellites; INSAT series, NOAA, Applications, Marine observation satellites; OCEANSAT
Practice:
- Image filtering and Band ratioing
- Mosaicking
1.4 Image Acquisition and Format (2+4) Hours
Digital Image Processing; Export and import, Data formats; BSQ, BIL, BIP, Run length encoding, Image Compression Data products.
Practice:
- Export and Import
- Histogram
- Subset using AOI
1.5 Image Processing (3+4) Hours
IMAGE RECTIFICATION; Preprocessing and Post processing Geometric distortion; sources and causes for distortion, rectification, GCP, Resampling, Image registration; Radiometric distortion; sources and causes, atmospheric correction
Practice: (Spectral Python and ENVI)
- Geometric correction
- Radiometric correction
- Atmospheric correction
1.6 Image Classification (4+4) Hours
IMAGE CLASSIFICATION; Classification techniques, types, Supervised and Un-supervised; Principal Component Analysis (PCA); Image Enhancement; Accuracy assessment.
Practice:
- PCA analysis (spectral Python and ENVI)
- NDVI, DVI, NDWI calculation
- Image classification in Spectral angel Mapper
- MNF Ratoing
- Supervised Classification(spectral Python and ENVI)
- Un-supervised Classification(spectral Python and ENVI)
- Image Enhancement( ENVI)
- Accuracy Assessment(ENVI)
1.7 Remote Sensing and Its application (3+4) Hours
Microwave RS and its application; Thermal RS and its application; Optical RS and its application; Sensor and its types.
Practice:Using Spectral Python
- Application of microwave remote sensing (Structural Trend line mapping)
- Application of thermal remote sensing and case study(Land surface Temp.estimation)
- Application of optical remote sensing and case study
2. Geospatial Technology and its Application (Code: CUAS2021) (2-2-0) 45 Hours
2.1 GIS &Cartography (2+4) Hours
Components of GIS, Types of Data in GIS, Scale Application of GIS, Advantage and limitation of GIS. History and development of Cartography; Definition, scope and concepts of cartography, Characteristics of Map; Categories of maps, Methods of mapping, relief maps, thematic maps.
Practice:
1.Symbology (generalization, symbology, and coloureffect, change symbology and use transparency in creative ways) using GRASS and QGIS
Geo-referencing (Map to Image and Image to Image), Projection, Data base creation: Digitization using Point, line and polygon, Edit, Clip, Intersect, Union, Merge, Join and subset. Attribute table editing
2.Google Earth (Convert Shape file to KML Format and KML File to shape file, Import data into Google earth, Bhuvan view, Extract data From Google Earth, Extract Point Data, Extract Polygon data, Extract line data, overlaying an image into Google earth)
2.2 Data analysis tools(2+4) Hours
Raster data spatial analysis, Network analysis, Vector operations and analysis, Data editing, Primary and secondary data. Data model and data structure, Geodatabase and metadata, GIS data model, Overlay analysis, Network modeling, Data Structure Models, Spatial interpolation; measurement and analysis methods, Advantage and disadvantage
Practice:
1.Linking of spatial and Non-spatial data and queries, Joining tabular data with the feature attribute data, Non-spatial query, Spatial query, Spatial join, Vector based spatial analysis, Raster based spatial data analysis
2.Buffering and Creation of Contour
3.Network Analysis
2.3 Multi-criteria analysis and decision making (3+4) Hours
Principles and elements of multiple-criteria decision making, Classification of Multiple-criteria Decision Problem: Multi-objective Vs Multi-attribute, Decision Alternatives and constraints, Criterion weighting, Decision rules, Multiple-criteria decision making in spatial data analysis.
Introduction to AHP, Basic Principles of AHP, Effect Table, Pair Wise comparison, Consistency, Weightage, performance score, Case studies involving AHP
Practice:
- Mapping accident locations using Linear Referencing technique.
- Preparation of raster layers for Multicriteria Analysis
- Solving a spatial problem using Multicriteria Analysis (Spatial AHP)
2.4 Digital Elevation Model (DEM) (2+4) Hours
Concept of DEM, Various techniques to generate DEM, Importance of spatial resolution to DEM, Integration of DEM to satellite data, Common derivatives of DEM, Slope, Aspects, TIN, Sources of DEM, Laminations and future of DEM.
Practice:
1.Google earth to DEM, 3D Map preparation, Contour to DEM, TIN and Aspect
2.DEM based surface Hydrology modeling,
3.LiDAR classification, DEM from LiDAR
2.5 Geospatial Technology for Water resources Engineering (3+4) Hours
Watershed, types, divide catchment, command area, stream types, Drainage network, different pattern; morphometric analysis, Bifurcation ratio analysis; Assessment of Groundwater potential zones and Groundwater mapping; Site selection for recharge structures, Hydrogeological Mapping GIS applications to ground water studies.
Practice:
- Mapping of catchment, command area
- Drainage network analysis
- Morphometric analysis
- Mapping of Groundwater potential zones
2.6 Geospatial Technology for Environmental Engineering (3+4) Hours
Monitoring atmosphere constituents; air pollution, industrial activity, modeling using GIS, Resource development in remote areas, Impacts of anthropogenic activity, Solid Waste management; Water Pollution, Shortest path Identification, Network analysis.
Practice:
- Air pollution mapping
- Solid waste management
- Water pollution
2.7 Web GIS (3+4) Hours
FOSS and its use in web mapping; Designing web services and web maps, storing and processing spatial data with FOSS, Drawing and querying maps on the server with WMS, Putting layers together with a web mapping API, Drawing vector layers with the browser.
Practice:
- Designing web services and web maps
- Drawing and querying maps on the server with WMS
- Putting layers together with a web mapping API
3. Photogrammetry and Application (Code:CUAS2022) (0-2-0) 25 Hours
3.1 Scale determination from aerial photo
3.2 Aerial photo Interpretation
3.3 Use of Parallax bar and determination of Height from stereo pair
3.4 Satellite DEM and ortho Image generation
3.5 Primary and additive colour creation
3.6 Stereo test
3.7 Mosaic
3.8 Stereoscopic vision
3.9 Relief displacement
3.10 Analog to digital conversion,Orientation of stereo model and Determination of Height
3.11 Aerial mapping using DRONE
3.12 Mosaicking of aerial Photo
3.13 Correction and rectification
3.14 DTM generation ,Image correction ,Link between GIS and Digital Photogrammetry and Ortho Image generation
4. LIDAR Remote Sensing and Application (CODE:CUAS2023) (0-2-0) 25 Hours
4.1 Download of LIDAR data
4.2 Layer stacking
4.3 Data Validation
4.4 Georeferencing Technology
4.5 Boresight Calibration - Lidar Data Preprocessing
4.6 Project Coverage Verification - Review Lidar Data against Field Control
4.7 Lidar data errors and rectifications, - processes calibration of Lidar data - artifacts and anomalies - Lidar Error Budget.
4.8 Noise Removal and other sensor-related artifacts - Layer Extraction - Automated Filtering
4.9 Manual Editing and Product Generation – Surface Editing - Hydrologic Enforcement
4.10 Breaklines, Contours, and Accuracy Assessment
4.11 Topographic Mapping, flood inundation analysis, line-of-sight analysis
4.12 Forestry, various types of LIDAR sensors-, vegetation metric calculations - specific application software.
4.13 Corridor mapping system, data processing and quality control procedures.
4.14 Modelling
5. Hyperspectral Remote Sensing and Application (CODE: CUAS2024) (0-2-0) 25 Hours
5.1 Introduction to ENVI, Python and Downloading, Displaying, and Analyzing Hyperspectral Imagery
5.2 Atmospheric Correction of Hyperspectral Imagery.
5.3 MNF ratioing from Hyperspectral(EO1)
5.4 Hyperspectral Image Classification Using Spectral Angle Mapper (SAM) & Spectral Feature Fitting (SFF).
5.5 Hyperspectral Imagery Classification Using an Unsupervised Neuron fuzzy System.
5.6 Application of Hyperspectral Imagery in Geological Studies.
5.7 Hyperspectral Signatures & Feature Fitting.
5.8 Hyperspectral Remote Sensing for Agriculture and soil Studies.
5.9 Hyperspectral Remote Sensing for Forestry Applications.
5.10 Hyperspectral Remote Sensing for Urban Studies.
5.11 Mineral identification from Hyperspectral imagery
5.12 Python Programming for Hyperspectral data analysis.
Session Plan for the Entire Domain:
1. Remote Sensing and Digital Image Processing (2-2-0) 45 Hours
Session -1.1 : Introduction to remote sensing and advantages and Limitations of remote sensing
ppt:Lecture-1
video:https://www.youtube.com/watch?v=YU9XphJqi6k&list=PLnts6bz5xbzEjSVZP40SUiWxOu0IFNp9c
Session-1.2: Types of Remote sensing electromagnetic spectrum
ppt:Lecture -2
video:https://www.youtube.com/watch?v=US8RHxQ_-qQ
Session-1.3: Energy sources and radiations interaction with atmosphere
ppt:https://www.slideshare.net/SumantDiwakar/interaction-of-emr-with-atmosphere-and-earth-surface
video:https://www.youtube.com/watch?v=EzV5JBBY7GE
https://www.youtube.com/watch?v=YZYGC55i5cg
Session-1.4: Energy sources and radiations interaction earth surface feature
video:https://www.youtube.com/watch?v=LQMhOJhGV5g
Session-1.5: Spectral signatures of different bodies and spectral response pattern
ppt:https://www.slideshare.net/KunalRathod2/spectral-signature
video:https://www.youtube.com/watch?v=f7IWafNgpeo
Session-1.6: Remote sensing systems - Remote sensing platforms, Sensors and characteristics and capability, Satellite system parameters
ppt:https://www.slideshare.net/udaykumardevalla/unit2-51304046
video:https://www.youtube.com/watch?v=5g2eFkDm28Q
Session-1.7 : Sensor parameters and Different type of Satellite and sensor
video:https://www.youtube.com/watch?v=hXa3bTcIGPU
https://www.youtube.com/watch?v=NBbHun2pyyw
Session-1.8: Installation of Image Processing software’s ENVI and ERDAS SOTWARE
ENVI- HOW TO INSTALL ENVI Classic && ENVI 5.1 in PC??? - YouTube
ERDAS- ERDAS Installation - YouTube
Session-1.9: Download satellite data from GLOVIS / Earth Explorer / Bhuvan etc.
https://www.youtube.com/watch?v=8BxTjdqCMUc&t=215s
Session-1.10: Layer stacking
Lyerstacking in ENVIhttps://www.youtube.com/watch?v=1jEExlc6vdI
Inerdas:https://www.youtube.com/watch?v=MFB9ij9pXz0
Session-1.11: LUT and Image Subset
https://www.youtube.com/watch?v=rA7mIOn_FvY
https://www.youtube.com/watch?v=jIZeXzipmkg
Session-1.12: Spectral Signature mapping (soil,vegetation,water)
PPT:https://drive.google.com/file/d/1HbQQ3EWICBuC8dkOQ5GbhsRCI0CEzDjR/view?usp=drive_link
Soil Spectral Signature by ENVI:https://www.youtube.com/watch?v=E8BAe7STw-c&t=109s
Spectral Signature of Vegetation using ENVI:https://www.youtube.com/watch?v=oHdiuF1GQNU
Session-1.13: Introduction, fundamentals of visual interpretation and equipment’s, Different method of Visual Image Interpretation techniques key elements with case studies such as water resources application
https://www.youtube.com/watch?v=XzvfgAQmo_I
Session-1.14: Development of FCCs and TCC
STANDARD FALSE COLOUR COMPOSITE , FALSE COLOUR COMPOSIT, TRUE COLOURE COMPOSITE BY ENVI:https://www.youtube.com/watch?v=Ma55GXB4ym4
Session- 1.15: Image Interpretation using software
https://www.youtube.com/watch?v=XzvfgAQmo_I
Session -1. 16: Land observation satellites, characters and applications; PSLV, GSLV, Satellite
Session -1.17: Platform Types; LANDSAT series; IRS series; IKONOS Series; QUICKBIRD series; Weather/Meteorological satellites; INSAT series, NOAA, Applications, Marine observation satellites; OCEANSAT
https://www.youtube.com/watch?v=M8pdSzh-Wz8
Session -1. 18: Introduction to Digital image processing and components of DIP
ppt:Lecture-6
Video:https://www.youtube.com/watch?v=J-KxVvDRl18
Session -1. 19: Digital Image Processing; Export and import, Data formats; BSQ, BIL, BIP, Run length encoding, Image Compression Data products.
https://www.youtube.com/watch?v=ssn7gjgljXQ
Session -1. 20: Image rectification and restoration
ppt:Lecture-7
Session -1. 21: Geometric correction using ENVI/ERDAS
Geometric Correction Process (Image to Image) Using Erdas Imagine:https://www.youtube.com/watch?v=eu2ke21O0aQ
Session -1. 22: Radiometric correction
https://www.youtube.com/watch?v=sCqA1n_W1iA
Session -1. 23: Atmospheric correction
https://www.youtube.com/watch?v=f-ebNu7-9b8&t=137s
https://www.youtube.com/watch?v=IfCYFmIxDx8
Session -1. 24: Image enhancement
ppt:https://drive.google.com/file/d/1FaZEI-mrDKYgGv8R1MwH1xmjCVemcLl5/view?usp=drive_link
ppt:https://www.slideshare.net/Ayaelshiwi/image-enhancement-29760056
Session -1. 25: Manipulation (contrast, spatial, and multi-image)
https://shodhganga.inflibnet.ac.in/bitstream/10603/200043/6/chapter%205.pdf
Session -1. 26: Image filtering and Band Ratioing
PPT- https://drive.google.com/file/d/1XvflGGZpVgCWX1DA5bmyRtX38xdmP6we/view?usp=drive_link
PPT- https://drive.google.com/file/d/1plv8J75WyHCUyu_Cb5aEyAHxDfT1P6Gf/view?usp=drive_link
https://www.youtube.com/watch?v=zpQBAjbAcjk
Session -1. 27: IMAGE CLASSIFICATION; Classification techniques, types, Supervised classification
https://www.youtube.com/watch?v=eOKw75ne-zs
Session -1. 28: Un-supervised Classification
PPT- https://drive.google.com/file/d/1xqLA4zz-5YUtkkK1kov93E6Hn6Zi0UHK/view?usp=drive_link
https://www.youtube.com/watch?v=eOKw75ne-zs
Session -1. 29: Principal Component Analysis (PCA)
PPT- https://drive.google.com/file/d/11kvGLZEuAodSFPViRQMZh4HqCggdThM9/view?usp=drive_link
https://www.youtube.com/watch?v=VaiolMYETmE
https://www.youtube.com/watch?v=rhJdBWr4kvc
Session -1. 30: Classification of image (supervised and unsupervised classification
https://www.youtube.com/watch?v=-Lqx5dL8XyM
https://www.youtube.com/watch?v=-K0NDfhuKOg
Session-1. 31: Classification accuracy and assessment
https://www.youtube.com/watch?v=8XKtpriWrfA&t=6s
https://www.youtube.com/watch?v=YdqkCjWVnvQ
Session -1. 32: PCA analysis (spectral Python and ENVI)
https://www.youtube.com/watch?v=fu7uXxZMzC8
Session -1. 33: NDVI Calculation
https://www.youtube.com/watch?v=KUTZFCWR5no
Session -1. 34: DVI, NDWI calculation
https://www.youtube.com/watch?v=QpthHkquQLo
Session -1. 35: Image classification in Spectral angel Mapper(spectral Python and ENVI/ERDAS)
https://www.youtube.com/watch?v=avwotTuGvq8
Session -1. 36: MNF Ratioing
ttps://www.youtube.com/watch?v=zliZ0j0B87o
Session -1. 37: Supervised Classification (spectral Python and ENVI/ERDAS)
https://www.youtube.com/watch?v=vuamjzzdGUg
https://www.youtube.com/watch?v=09QsEIBqEL0
Session -1. 38: Un-supervised Classification (spectral Python and ENVI)
https://www.youtube.com/watch?v=YgY1e98LacQ
Lesson-1. 39: Accuracy Assessment (ENVI/ERADAS)
https://www.youtube.com/watch?v=TkL0RHFYEcs&t=25s
https://www.youtube.com/watch?v=aM6kQPkY27s
Session -1. 40: Microwave RS and its application; Thermal RS and its application; Optical RS and its application; Sensor and its types.
ppt:https://www.slideshare.net/yourmohsin/microwave-remote-sensing-45873985
Session -1. 41: Application of microwave remote sensing (Structural Trend line mapping)
Microwave remote sensing and its applications - YouTube
Session-1. 42: Application of thermal remote sensing and case study
https://www.youtube.com/watch?v=uowKzQCjM50
Session-1. 43: (Land surface Temp. estimation)
https://www.youtube.com/watch?v=pfNlHqb5NeQ
Session-1. 44: Application of optical remote sensing and case study
RS2.3 - Optical remote sensing: interaction with the atmosphere - YouTube
Question Bank: https://drive.google.com/file/d/1GzTc-vfkExqYd_YrlX6QchUqUmVX7gBG/view?usp=drive_link
2. Geospatial Technology and its Application (2-2-0) 45 Hours
Session -2. 1: Components of GIS, Types of Data in GIS, Scale Application of GIS, Advantage and limitation of GIS
ppt:https://www.slideshare.net/samhati27/gis-47703273
https://www.youtube.com/watch?v=2kZWZjxN8uY
Session -2.2 : History and development of Cartography; Definition, scope and concepts of cartography
https://www.slideshare.net/pramodgpramod/cartography-76693418
https://www.youtube.com/watch?v=DXFPZBFdDZc
Session-2.3: Characteristics of Map; Categories of maps, Methods of mapping, relief maps, thematic maps.
http://Characteristics of Map; Categories of maps, Methods of mapping, relief maps, thematic maps.
Session-2. 4: Generalization, symbology, and colour effect, change symbology and use transparency in creative ways) using GRASS and QGIS
https://www.youtube.com/watch?v=vB7LO8mzFL4
Session-2. 5: Geo-referencing (Map to Image and Image to Image), Projection, Data base creation: Digitization using Point, line and polygon, Edit, Clip, Intersect, Union, Merge, Join and subset. Attribute table editing using GRASS and QGIS
https://www.youtube.com/watch?v=m12ZXpGBoDc
Session-2. 6: Google Earth (Convert Shape file to KML Format and KML File to shape file, Import data into Google earth, Bhuvan view, Extract data From Google Earth, Extract Point Data, Extract Polygon data, Extract line data, overlaying an image into Google earth)
https://www.youtube.com/watch?v=XpQ02Ulw5NE
Session-2. 7: Raster data spatial analysis, Network analysis, Vector operations and analysis, Data editing, Primary and secondary data. Data model and data structure, Geodatabase and metadata
https://www.slideshare.net/AjayKumar146/data-model-and-data-structure-in-gis-142903572
https://www.youtube.com/watch?v=QaehRjdlLf0
Session-2. 8: GIS data model, Overlay analysis, Network modeling, Data Structure Models, Spatial interpolation; measurement and analysis methods, Advantage and disadvantage
HOW TO DO OVERLAY ANALYSIS IN ArcGIS? - YouTube
Spatial Interpolation (IDW) using QGIS - YouTube
Session -2. 9: Linking of spatial and Non-spatial data and queries, Joining tabular data with the feature attribute data
https://www.youtube.com/watch?v=-JFaGY9uDp0
Session-2. 10: spatial query, Spatial join, Vector based
https://www.youtube.com/watch?v=E6RJn1GV0A0
Session -2. 11: Spatial analysis, Raster based spatial data analysis, Buffering, Creation of Contour
PPT- https://drive.google.com/file/d/11Fvvmpc0FiKqnkJVE352GhZ7KSjLwGlb/view?usp=drive_link
https://www.youtube.com/watch?v=1qdQTjdlaBA
https://www.youtube.com/watch?v=SBgrKTE7EY8
Session -2. 12: Principles and elements of multiple-criteria decision making, Classification of Multiple-criteria Decision Problem: Multi-objective Vs Multi-attribute, Decision Alternatives and constraints, Criterion weighting, Decision rules, Multiple-criteria decision making in spatial data analysis.
https://www.youtube.com/watch?v=Smc592uG6KQ
https://www.youtube.com/watch?v=76IMbiUbyDM
Session -2. 13: Introduction to AHP, Basic Principles of AHP, Effect Table, Pair Wise comparison, Consistency, Weightage, performance score
https://www.slideshare.net/lakshanasuresh/ahp-calculations
Session -2. 14: Case studies involving AHP
https://www.youtube.com/watch?v=J4T70o8gjlk
Session-2. 15: Mapping accident locations using Linear Referencing technique
https://www.youtube.com/watch?v=swP3S128QWc
Session-2. 16: Preparation of raster layers for Multicriteria Analysis
https://www.youtube.com/watch?v=33ebYnTTecM
Session-2. 17: Solving a spatial problem using Multicriteria Analysis (Spatial AHP)
https://www.youtube.com/watch?v=WCK8dfeiPcA
Session -2. 18: Concept of DEM, Various techniques to generate DEM, Importance of spatial resolution to DEM, Integration of DEM to satellite data, Common derivatives of DEM
https://nptel.ac.in/courses/105/107/105107174/
Session -2. 19: Slope, Aspects, TIN, Sources of DEM, Laminations and future of DEM.
https://www.youtube.com/watch?v=Z7D7RQl54ck
Session-2. 20: Google earth to DEM, 3D Map preparation, Contour to DEM, TIN and Aspect
https://www.youtube.com/watch?v=NkDoE8SY7rE
Session-2. 21: DEM based surface Hydrology modeling
PPT- https://drive.google.com/file/d/1J2e1MiDfgsn53aOrMGDoHlfvokhDR_SB/view?usp=drive_link
PPT- https://drive.google.com/file/d/1d6cXUvudIfowDuVtI5ENEe6EL1dQx6zZ/view?usp=drive_link
https://www.youtube.com/watch?v=Ke8krldbSZQ
Session -2. 22: LiDAR classification, DEM from LiDAR
https://www.youtube.com/watch?v=iVZncs4ZMXA
Session -2. 23: Watershed, types, divide catchment, command area, stream types, Drainage network, different pattern; morphometric analysis, Bifurcation ratio analysis.
https://www.youtube.com/watch?v=x3zMjPrp4M8
Session-2. 24: Assessment of Groundwater potential zones and Groundwater mapping; Site selection for recharge structures
PPT-https://docs.google.com/presentation/d/17IHVrb_vXJ4GdqeLhVqqmyw7lQ0P-LOD/edit?usp=drive_link
https://www.youtube.com/watch?v=D6KfN8d8Onc
Session-2. 25: Hydrogeological Mapping GIS applications to ground water studies.
https://www.youtube.com/watch?v=ADG0MMUjjWI
Session -2. 26: Mapping of catchment, command area
PPT- https://drive.google.com/file/d/1bMf0fbT21mF6v_VSvtV4O4He9TbMeYkY/view?usp=drive_link
https://www.youtube.com/watch?v=aTYHpft1gus
Session - 2. 27: Drainage network analysis
PPT- https://drive.google.com/file/d/1zrPm_0ob3ctyTnPvks_f67zszNjrI-8p/view?usp=drive_link
Extracting Stream or Drainage Network from DEM in ArcGIS - YouTube
Session -2. 28: Morphometric analysis
PPT- https://drive.google.com/file/d/1zrPm_0ob3ctyTnPvks_f67zszNjrI-8p/view?usp=drive_link
Morphometric Analysis of Drainage Basin by Prof. Rameshwar Bali - YouTube
Session -2. 29: Mapping of Groundwater potential zones
https://www.youtube.com/watch?v=dXwFV9rj2_Y
Session -2. 30: Monitoring atmosphere constituents; air pollution, industrial activity, modeling using GIS, Resource development in remote areas, Impacts of anthropogenic activity
PPT- https://drive.google.com/file/d/1KBz5A5-L7fx4Vot9HB0QXVK1v68H01kf/view?usp=drive_link
https://www.youtube.com/watch?v=GoypLUmqPL4
Session -2. 31: Solid Waste management
PPT- https://drive.google.com/file/d/1l9KUyFIc9tr0OwW--aahjiZ1aAIayOng/view?usp=drive_link
https://www.youtube.com/watch?v=8WeDYHjHnRU
Session -2. 32: Water Pollution
PPT- https://drive.google.com/file/d/1-XYreUP1SPfPfnEmeU36ZqMCC3GLy4Jv/view?usp=drive_link
https://www.youtube.com/watch?v=zFjXYt3dX08
Session -2. 33: Air pollution mapping
PPT- https://drive.google.com/file/d/1WVCz43okHLcaNxGqxrzrice4UYMJkeyo/view?usp=drive_link
https://www.youtube.com/watch?v=GoypLUmqPL4
Session -2. 34: Shortest path Identification, Network analysis.
https://www.youtube.com/watch?v=2bhz1W-gRCE
Session -2. 35: Air pollution mapping
PPT- https://drive.google.com/file/d/1WVCz43okHLcaNxGqxrzrice4UYMJkeyo/view?usp=drive_link
https://www.youtube.com/watch?v=GoypLUmqPL4
Session -2. 36: Solid Waste management
PPT-https://drive.google.com/file/d/10Z9Pn7kTyYK_64kNUe1EdjVbmg5pGOkc/view?usp=drive_link
https://www.youtube.com/watch?v=8WeDYHjHnRU
Session -2. 37: Water Pollution
https://www.youtube.com/watch?v=zFjXYt3dX08
Session -2. 38: FOSS and its use in web mapping; Designing web services and web maps, storing and processing spatial data with FOSS
https://www.youtube.com/watch?v=z2PVuBjD0eU
Session -2. 39: Drawing and querying maps on the server with WMS
https://www.youtube.com/watch?v=g6GuUg2JGZY
Session -2. 40: Putting layers together with a web mapping API, Drawing vector layers with the browser.
https://www.youtube.com/watch?v=27-hsEhhzHo
Session -2. 41: Designing web services and web maps
https://www.youtube.com/watch?v=WFO3Xe0uD5k
Session -2. 42: Drawing and querying maps on the server with WMS
https://www.youtube.com/watch?v=Lgz8BuJADio
Session -2. 43: Putting layers together with a web mapping API
https://www.youtube.com/watch?v=n0Lp1SNb6Co
Session -2. 44: Spatial interpolation; measurement and analysis methods, Advantage and disadvantage
https://www.youtube.com/watch?v=cWDnXi-S04I
Question Bank:https://drive.google.com/file/d/1UQ7hSPASuOfgnwiaw8-Dkl-iA4aHrkY5/view?usp=drive_link
3. Photogrammetry and Application (0-2-0) 25 Hours
Session -3. 1: Scale determination from aerial photo
PPT- https://drive.google.com/file/d/1YhlJs3LDRRL_7V6gmccsAC3dmtuBIitf/view?usp=drive_link
Video- Lecture 05: Photogrammetry- Scale of Aerial Photographs - YouTube
Session-3. 2: Aerial photo Interpretation
PPT-https://drive.google.com/file/d/1w3Is2S5uIpvWHg1PGJayeAZSLgMXIIXh/view?usp=drive_link
PPT- https://drive.google.com/file/d/1e7OVK1h6Wnd9PDX-PcUdNUDrlAbDTZ89/view?usp=drive_link
Video- Elements of Aerial Photo Interpretation | Geodynamics - YouTube
Session-3. 3: Use of Parallax bar and determination of Height from stereo pair
PPT- https://drive.google.com/file/d/13rPxX5R-RUx_m-QGgTkj8UAznsHnZ-hP/view?usp=drive_link
Video- Lecture 09: Photogrammetry - Parallax in Photographs - YouTube
Session-3. 4: Satellite DEM and ortho Image generation
PPT-https://drive.google.com/file/d/1rOrnT-ARBoVg__I_seQ2fCSwfZ4SNjv2/view?usp=drive_link
Video- Lecture 11: Photogrammetry - 3D Mapping, DEM, DTM, and DSM - YouTube
Lesson-3. 5: Primary and additive color creation
PPT- https://drive.google.com/file/d/1_gIwmYp64meTHCahcuFRPwrCL_iZsjYl/view?usp=drive_link
Video- Additive color subtractive color primary color neutral color Urdu/Hindi - YouTube
Session-3. 6: Stereo test and Stereoscopic vision
PPT- https://drive.google.com/file/d/13rPxX5R-RUx_m-QGgTkj8UAznsHnZ-hP/view?usp=drive_link
Video- Lecture 07: Photogrammetry - Stereo Pairs and Stereovision - YouTube
Session-3. 7: Relief displacement
PPT- https://drive.google.com/file/d/1UK53UGRQ8-gn5pZnQBHUTowO062i91wG/view?usp=drive_link
Video- Lecture 06: Photogrammetry - Relief Displacement - YouTube
Session-3. 8: Analog to digital conversion, Orientation of stereo model and Determination of Height
PPT- https://drive.google.com/file/d/1NC0A8N-RodrWo9YCNpPHAqD9XN4gt98v/view?usp=drive_link
Video- Lecture 10: Height Determination from Stereo-Pairs - YouTube
Session-3. 9: Aerial mapping using DRONE
PPT- https://drive.google.com/file/d/1ZRno2rxjSGtCDCnHBbyb_ZnzpyDEDnoA/view?usp=drive_link
PPT- https://drive.google.com/file/d/1VlawkNJuJIZffPNT4s15uRgaQ4vlSBXu/view?usp=drive_link
PPT- https://drive.google.com/file/d/109uX740Zw2u13344M0Ua86izqc7Xnixv/view?usp=drive_link
Video- Drone Mapping for Construction: Complete Guide - YouTube
Session-3. 10: Mosaicking of aerial Photo
PPT-https://drive.google.com/file/d/1Z8pkVWzOkYTSgs1zOit3y_vuKuJmDwyF/view?usp=drive_link
Video- How to mosaic aerial imagery in ArcGIS Pro - YouTube
Session -3. 11: Correction and rectification
PPT- https://drive.google.com/file/d/1JHtBbQIp_8GmflblKYwrh92x8K4_YDqo/view?usp=drive_link
Session -3. 12: DTM generation ,Image correction ,Link between GIS and Digital Photogrammetry and Ortho Image generation
PPT-https://drive.google.com/file/d/1cdq9Zj94r0m2cGIQRFh8mgKnOtAiLIV1/view?usp=drive_link
PPT- https://drive.google.com/file/d/1f53dbCilaZsLLLp4kWMU1uvcs0w7K2Uy/view?usp=drive_link
Video- Lecture 12: Digital Photogrammetry - YouTube
4. LIDAR Remote Sensing and Application (0-2-0) 25 Hours
Session -4. 1: Download of LIDAR data
PPT-https://drive.google.com/file/d/1-6C8ygZDeoRFsnIqVkiZq4UGdUJ-mUrL/view?usp=drive_link
SITE LINK-5 Best Free LiDAR Software Tools and Viewers - GIS Geography
https://www.youtube.com/watch?v=FuRhYCFCaCc
Session -4. 2: Processing of LiDAR data
PPT- https://drive.google.com/file/d/1ggiMFeZIsbBHKwwQojX5GuNENsQSrAS3/view?usp=drive_link
https://www.youtube.com/watch?v=yyRTVBE4JF8
https://www.youtube.com/watch?v=lOwWNV9rpcc
Session -4. 3: Data Validation
PPT- https://drive.google.com/file/d/1mZvTWLMKuRpTu1vUrrWit2Y5Ufq5zei0/view?usp=drive_link
https://www.youtube.com/watch?v=nnzMRNLYMjA
Session -4. 4: Geo-referencing Technology
PPT- https://drive.google.com/file/d/1vZbXnQrs4WMKJR9RaWyuCH_sev1IZJ3I/view?usp=drive_link
PPT- https://drive.google.com/file/d/1eTkUFYPaEbXu9rDJ1cTYJWSqzUFQxenw/view?usp=drive_link
https://www.youtube.com/watch?v=Qs2Toq41m18
Session -4. 5: Boresight Calibration - Lidar Data Preprocessing
PPT- https://drive.google.com/file/d/1vDj0xc_5C36gqXRuWe0XlgZ_KP0S5U2u/view?usp=drive_link
https://www.youtube.com/watch?v=a9LV5_M5vRo
Session -4. 6: Project Coverage Verification - Review Lidar Data against Field Control
PPT- https://drive.google.com/file/d/1bGgyIMMHGjwBlvxRxpHG8YgPCAUrpOvP/view?usp=drive_link
https://www.youtube.com/watch?v=PRE5KV2_w3Q
Session -4. 7: Lidar data errors and rectifications, - processes calibration of Lidar data - artifacts and anomalies - Lidar Error Budget.
4 LiDAR error sources (iitk.ac.in)
https://www.youtube.com/watch?v=aKsGtdNw9v8
Session -4. 8: Noise Removal and other sensor-related artifacts - Layer Extraction - Automated Filtering
https://www.youtube.com/watch?v=Pm9eL5vVg30
Session -4. 9: Manual Editing and Product Generation – Surface Editing - Hydrologic Enforcement
https://www.youtube.com/watch?v=wvVIMEJiaik
Session -4. 10: Breaklines, Contours, and Accuracy Assessment
PDF- https://drive.google.com/file/d/1LmGrWfuoI2CxqM5CwzDpbgt9q4DMvNKC/view?usp=drive_link
PDF- https://drive.google.com/file/d/1mZvTWLMKuRpTu1vUrrWit2Y5Ufq5zei0/view?usp=drive_link
https://www.youtube.com/watch?v=TGNrEcX5dI8
Session -4. 11: Topographic Mapping, flood inundation analysis, line-of-sight analysis
PDF- https://drive.google.com/file/d/1k3sjsAFoNnUAVPfY2XUjTwj9msdMvDcO/view?usp=drive_link
PDF- https://drive.google.com/file/d/1otGwTZqGPRpCbFHF6Gou57W-sw-HZNfy/view?usp=drive_link
Session -4. 12: Forestry, various types of LIDAR sensors-, vegetation metric calculations - specific application software.
The Different Types of LiDAR Systems – LiDAR and RADAR Information (lidarradar.com)
PPT- https://drive.google.com/file/d/1-u8UhannUmo05FuTMehj99jmmFL1rgGM/view?usp=drive_link
https://www.youtube.com/watch?v=QE9_enLWRqs
Visualization of Vegetation GIS Mapping using LiDAR: https://www.youtube.com/watch?v=tiSyA6_KmYs
Session -4. 13: Corridor mapping system, data processing and quality control procedures.
PDF- https://drive.google.com/file/d/1LmGrWfuoI2CxqM5CwzDpbgt9q4DMvNKC/view?usp=drive_link
Power Line Corridor Mapping with Lidar - Surveying Group
https://drive.google.com/file/d/1aEidymeOJsvmBoZMzZvAqrBmZOt_4Jv0/view?usp=drive_link
https://www.youtube.com/watch?v=3E4p6GCB_Uo
Session -4. 14: Modelling
PPT- https://drive.google.com/file/d/14yWz2eeeyQOGF-LGj8nhpyJtkQv75o6s/view?usp=drive_link
Intermediate 3D Modeling with LiDAR: https://www.youtube.com/watch?v=UOPzNbpPNLU
Automatic 3D Modeling & Shading using LIDAR:https://www.youtube.com/watch?v=XI_NBPYrJdM
Wide-Area Indoor and Outdoor Real-Time 3D SLAM:https://www.youtube.com/watch?v=08GTGfNneCI
5. Hyperspectral Remote Sensing and Application (0-2-0) 25 Hours
Session -5. 1: Over view of Hyper spectral Remote sensing
PPT- https://drive.google.com/file/d/1ICqaE_tYnTwppwDdLCrfv5o18TSRvcbE/view?usp=drive_link
PDF-https://drive.google.com/file/d/1jfvA7uR3QAZOlT8xcuvH8p3ElIVIYOxV/view?usp=drive_link
15 Free Satellite Imagery Data Sources - GIS Geography
https://www.youtube.com/watch?v=3COTt03Rd3M
HYPER SPECTRAL DATA DOWNLOAD OF USGS OR EARTH EXPLORER:https://www.youtube.com/watch?v=VDjeb7cfJl8
Session -5. 2: Atmospheric Correction of Hyperspectral Imagery.
https://www.youtube.com/watch?v=IfCYFmIxDx8
BAD LINE REMOVAL OF HYPER SPECTRAL DATA:https://www.youtube.com/watch?v=zFzHYDRGl8o
Session -5. 3: MNF ratioing from Hyperspectral (EO1)
https://www.youtube.com/watch?v=hCwTZqU8Mak
Session -5. 4: Hyperspectral Image Classification Using Spectral Angle Mapper (SAM) & Spectral Feature Fitting (SFF).
Hyperspectral Analysis: SAM and SFF Tutorial (l3harrisgeospatial.com)
https://www.youtube.com/watch?v=avwotTuGvq8&t=288s
https://www.youtube.com/watch?v=vAL-MRuAVbQ
Session -5.5: Hyperspectral Imagery Classification Using an Unsupervised Neuron fuzzy System.
https://www.youtube.com/watch?v=92YWaT9MTyU
Session -5. 6: Application of Hyperspectral Imagery in Geological Studies.
PPT- https://drive.google.com/file/d/13rftJilhpoNEiKnvJcNQjGvHU5wTHjv3/view?usp=drive_link
https://www.youtube.com/watch?v=I-dZxYdMGKk
https://www.youtube.com/watch?v=2LNXeUS25Vw
Session -5. 7: Hyperspectral Signatures & Feature Fitting.
Processing and Analyzing Hyperspectral Imagery - YouTube
Session -5. 8: Hyperspectral Remote Sensing for Agriculture and soil Studies.
https://www.youtube.com/watch?v=avvQElgHj6o
Session -5. 9: Hyperspectral Remote Sensing for Forestry Applications.
https://www.youtube.com/watch?v=IbuJB5y5Ai0
Session -5.10: Hyperspectral Remote Sensing for Urban Studies.
PPT-https://drive.google.com/file/d/1J8my49SYGjAEPzCi8wiGDnY7hVjqJnn-/view?usp=drive_link
https://www.youtube.com/watch?v=gtmgi_KPOY8
Session -5. 11: Mineral identification from Hyperspectral imagery
PPT- https://drive.google.com/file/d/138fnDramdYvvWVPoD6wM8xqX7qvKEDji/view?usp=drive_link
Hyperspectral imaging for open-pit mining applications - YouTube
Session -5. 12: Python Programming for Hyperspectral data analysis.
Projects (CODE: CUAS2025):
1. Flood inundation mapping and Risk Evaluation using Geospatial Technology.
2. Landslide Hazard mapping using GIS and RS.
3. Land use and Land cover Dynamics using Earth observation Technology.
4. Mangrove change detection study using Multi-Temporal satellite data.
5. Solid waste management and shortest path identification using GIS Technology.
6. Watershed management using GIS Technology.
7. Identification Mineral mapping using GIS and RS.
8. Crop Health Monitoring using Geospatial Technology.
9. Identification of Hydrocarbon Locales using space inputs and Geospatial Technology.
10. Ground water exploration using GIS and RS Techniques.
11. Interlinking of River using GIS Technology.
12. Biomass estimation using Space Technology.
13. Land surface Temperature mapping using RS Technology.
14. Climate Change study using Earth Observation Technology.
15. Erosion and Accretion study of Shorelines and its impact in coastal habitats.
Students take up group projects and deal the following activities during the project. The project Report should contain below gate process.
Step 1: Functional Planning of the project and Objective Identification
Step 2:Literature Review
Step 3: Preparation of Flow chart for Methodology
Step 4: Layer creation and GIS analysis
Step 5: Identifying the possible Risks involved (specific to the project)
Step 6: Report writing
Our Main Teachers
Prafulla Kumar Panda working as an Assistant professor in department of civil engineering at Centurion University of Technology and Management. He obtained his B.Sc from Utkal university, Odisha ,M.Sc from Berhampur university Odisha, M.Tech from BharathiDasan University, Tamilnadu. He is previously worked at IIT Kanpur as Research Associate (2009-2011).He visited different countries such as UK, […]
REMOTE SENSING AND GIS, GROUNDWATER HYDROLOGY, MULTI CRITERIA DECISION ANALYSIS, TIME SERIES FORECASTING USING DEEP LEARNING, FLOOD HAZARD MAPPING