Domain Track: Aerial Surveying and Remote Sensing Applications

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Prafulla Kumar Panda

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Domain Track Title : Aerial Surveying and Remote Sensing Applications

Track Total Credits ( T-P-P):  4-10-4

Courses Division:

  1. Remote Sensing & Digital Image Processing   (2-2-0) 45Hours
  2. Geospatial Technology and its Application      (2-2-0)45Hours
  3. Photogrammetry  and its  Application              (0-2-0) 25Hours
  4. Lidar Remote sensing and its Applications     (0-2-0) 25Hours
  5. Hyper-spectral Remote Sensing and its Application  (0-2-0) 25Hours
  6.  Project    (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

Domain Syllabus:

 

1. Remote Sensing and Digital Image Processing  (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:

  1. Installation of Image Processing software’s
  2. Download satellite data from GLOVIS / Earth Explorer / Bhuvan etc.
  3. Layer stacking
  4. LUT and Image Subset
  5. 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:

  1. FCCs and TCC
  2. Resolution
  3. 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:

  1. Image filtering and Band ratioing
  2. 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:

  1. Export and Import
  2. Histogram
  3. 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)

  1. Geometric correction
  2. Radiometric correction
  3. 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:

  1. PCA analysis (spectral Python and ENVI)
  2. NDVI, DVI, NDWI calculation
  3. Image classification in Spectral angel Mapper
  4. MNF Ratoing
  5. Supervised Classification(spectral Python and ENVI)
  6. Un-supervised Classification(spectral Python and ENVI)
  7. Image Enhancement( ENVI)
  8. 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

  1. Application of microwave remote sensing (Structural Trend line mapping)
  2. Application of thermal remote sensing and case study(Land surface Temp.estimation)
  3. Application of optical remote sensing and case study

2. Geospatial Technology and its Application (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:

  1. Mapping accident locations using Linear Referencing technique.
  2. Preparation of raster layers for Multicriteria Analysis
  3. 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:

  1. Mapping of catchment, command area
  2. Drainage network analysis
  3. Morphometric analysis
  4. 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:

  1. Air pollution mapping
  2. Solid waste management
  3. 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:

  1. Designing web services and web maps
  2. Drawing and querying maps on the server with WMS
  3. Putting layers together with a web mapping API

 

3. Photogrammetry and Application   (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   (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   (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

ppt:Lecture-4,Lecture-5

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’sInstlation of ENVI and ERDAS SOTWARE

https://www.youtube.com/watch?v=9s64qDKCda8

https://www.youtube.com/watch?v=sRzlJMLHQ4E

 

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)

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

ppt:visual interpretation

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

 

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=IfCYFmIxDx8

 

Session -1. 24: Image enhancement

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

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

https://www.youtube.com/watch?v=eOKw75ne-zs

 

Session -1. 29: Principal Component Analysis (PCA)

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=-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)

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)

https://www.youtube.com/watch?v=I-dZxYdMGKk

 

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

https://www.youtube.com/watch?v=TLtLWnZqdwE

 

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

https://www.youtube.com/watch?v=_nWedo7ohzM

 

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

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

https://www.youtube.com/watch?v=FIaWhEBeXws

 

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

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

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

https://www.youtube.com/watch?v=aTYHpft1gus

 

Session - 2. 27: Drainage network analysis

https://www.youtube.com/watch?v=VGhMaLbPoBY

 

Session -2. 28: Morphometric analysis

https://www.youtube.com/watch?v=bFhJ1Zle3r4

 

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

https://www.youtube.com/watch?v=GoypLUmqPL4

 

Session -2. 31:  Solid Waste management

https://www.youtube.com/watch?v=8WeDYHjHnRU

 

Session -2. 32: Water Polution

https://www.youtube.com/watch?v=zFjXYt3dX08

 

Session -2. 33: Air pollution mapping

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

https://www.youtube.com/watch?v=GoypLUmqPL4

 

Session -2. 36: Solid Waste management

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

 

 

3. Photogrammetry and Application   (0-2-0) 25 Hours

 

Session -3. 1: Scale determination from aerial photo

https://www.youtube.com/watch?v=3Fi9YIKkkzQ

Session-3. 2: Aerial photo Interpretation

https://www.youtube.com/watch?v=CPz0vs_jO5Y

Session-3. 3: Use of Parallax bar and determination of Height from stereo pair

https://www.youtube.com/watch?v=FxaLqj8fqtM

 

Session-3. 4: Satellite DEM and ortho Image generation

https://www.youtube.com/watch?v=KrzuMDpH9d0

 

Lesson-3. 5: Primary and additive colour creation

https://www.youtube.com/watch?v=39Te-Q9Grjg

 

Session-3. 6: Stereo test and Stereoscopic vision

https://www.youtube.com/watch?v=mZkmXEFw7BE

 

Session-3. 7: Relief displacement

https://www.youtube.com/watch?v=LGkfZQdKlA0

 

Session-3. 8: Analog to digital conversion,Orientation of stereo model and Determination of Height

https://www.youtube.com/watch?v=yKqHab-0600

 

Session-3. 9: Aerial mapping using DRONE

https://www.youtube.com/watch?v=Kc17UWje9TE

https://www.youtube.com/watch?v=hV0-PUKHb68

 

Session-3. 10: Mosaicking of aerial Photo

https://www.youtube.com/watch?v=VsBiw32YTgY

 

Session -3. 11: Correction and rectification

https://www.youtube.com/watch?v=t5QKg4u6s9E

Session -3. 12: DTM generation ,Image correction ,Link between GIS and Digital       Photogrammetry and Ortho Image generation

https://www.youtube.com/watch?v=bB6AWRr-8mw

 

4. LIDAR Remote Sensing and Application   (0-2-0) 25 Hours

Session -4. 1: Download of LIDAR data

https://www.youtube.com/watch?v=FuRhYCFCaCc

 

Session -4. 2: Processing of LiDAR data

https://www.youtube.com/watch?v=yyRTVBE4JF8

https://www.youtube.com/watch?v=lOwWNV9rpcc

Session -4. 3: Data Validation

https://www.youtube.com/watch?v=nnzMRNLYMjA

 

Session -4. 4: Geo-referencing Technology

https://www.youtube.com/watch?v=Qs2Toq41m18

 

Session -4. 5: Boresight Calibration - Lidar Data Preprocessing

https://www.youtube.com/watch?v=a9LV5_M5vRo

 

Session -4. 6: Project Coverage Verification - Review Lidar Data against Field Control

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.

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

https://www.youtube.com/watch?v=TGNrEcX5dI8

 

Session -4. 11: Topographic Mapping, flood inundation analysis, line-of-sight analysis

https://www.youtube.com/watch?v=0XdqGNu9bhk&t=73s

 

Session -4. 12: Forestry, various types of LIDAR sensors-, vegetation metric calculations - specific application software.

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.

https://www.youtube.com/watch?v=3E4p6GCB_Uo

 

Session -4. 14: Modelling

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: Introduction to ENVI, Python and Downloading, Displaying, and Analyzing Hyperspectral Imagery

https://www.youtube.com/watch?v=3COTt03Rd3M

https://www.youtube.com/watch?v=Zaw16EdM93g

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).

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.

https://www.youtube.com/watch?v=I-dZxYdMGKk

https://www.youtube.com/watch?v=2LNXeUS25Vw

Session -5. 7: Hyperspectral Signatures & Feature Fitting.

https://www.youtube.com/watch?v=hR4oEgXNnjk

 

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.

https://www.youtube.com/watch?v=gtmgi_KPOY8

 

Session -5. 11: Mineral identification from Hyperspectral imagery

https://www.youtube.com/watch?v=I-dZxYdMGKk&t=37s

 

Session -5. 12: Python Programming for Hyperspectral data analysis.

https://www.youtube.com/watch?v=3kj8uoOlwjg&t=832s

https://www.youtube.com/watch?v=dw2aNRvC5Ts&t=22s

List of Projects :

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, […]