This document outlines the objectives, theory, expected outcomes, and recommended books for the course Remote Sensing and GIS (OE7302). The objective of the course is to teach students about the principles of remote sensing, spectral signatures, satellite types and remote sensing, digital image processing, and the applications of remote sensing and GIS in civil engineering. The theory portion covers remote sensing principles, satellites, digital image fundamentals and processing, GIS components and data models, geodesy, and applications of remote sensing and GIS. Upon completing the course, students will be able to apply concepts of remote sensing, GIS, and digital image processing to civil engineering.
Dr. Tristan Nguyen presents an overview of his program, Sensing, Surveillance and Navigation, at the AFOSR 2013 Spring Review. At this review, Program Officers from AFOSR Technical Divisions will present briefings that highlight basic research programs beneficial to the Air Force.
Final presentation for Ordinance Survey sponsored MSc ProjectIris Kramer
MSc Archaeological Computing (GIS and Survey), University of Southampton.
“An archaeological reaction to the remote sensing data explosion. Reviewing the research on semi-automated pattern recognition and assessing the potential to integrate artificial intelligence”
Spectral Indices Across Remote Sensing Platforms and Sensors Relating to the ...Mallikarjun Mishra
With advances in remote-sensing technology and higher-quality products, the field of spectral indices has experienced a sizeable progressive evolution. These spectral indices computed by using different brands of remote-sensing products and applying additive, subtractive, or normalizing operations, have been and are being devised to detect diverse objects in various spheres of our planet. For instance, there are spectral indices that detect and delineate plant leaf moisture, that biome comes under biosphere, at distinctive spatial scales. There are other indices that are used to extract elements from the lithosphere like iron oxide content, or to show clay mineral content, etc. Similarly, there are spectral indices to detect various elements which constitute other spheres of our planet. In this work, we have used the Web of Science (WoS) database from 1999 to 2022 and searched for only English language research journals, book chapters, books, and scientific reports. We found 2227 documents in all the categories to perform a systematic, scientometric review regarding spectral indices used for the identification of elements constituting various objects of the five different spheres. The primary objective of this chapter is to present a systematic and scientometric review of spectral indices used for quantification of different elements of all the spheres of our planet relating to lithosphere, hydrosphere, atmosphere, biosphere, and anthroposphere, across remote-sensing platforms and sensors. The study also examines the rationale of spectral indices across the ever-advancing remote-sensing platform and sensors, and their future challenges, and investigates the challenges and prospects of this domain of study. This study will be useful for acquainting new researchers with the use spectral indices for their specific objectives.
An important measurable indicator of urbanization and its environmental implications has been identified as the urban
impervious surface. It presents a strategy based on three-dimensional convolutional neural networks (3D CNNs) for extracting
urbanization from the LiDAR datasets using deep learning technology. Various 3D CNN parameters are tested to see how they
affect impervious surface extraction. For urban impervious surface delineation, this study investigates the synergistic
integration of multiple remote sensing datasets of Azad Kashmir, State of Pakistan, to alleviate the restrictions imposed by
single sensor data. Overall accuracy was greater than 95% and overall kappa value was greater than 90% in our suggested 3D
CNN approach, which shows tremendous promise for impervious surface extraction. Because it uses multiscale convolutional
processes to combine spatial and spectral information and texture and feature maps, we discovered that our proposed 3D
CNN approach makes better use of urbanization than the commonly utilized pixel-based support vector machine classifier. In
the fast-growing big data era, image analysis presents significant obstacles, yet our proposed 3D CNNs will effectively extract
more urban impervious surfaces
Dr. Tristan Nguyen presents an overview of his program, Sensing, Surveillance and Navigation, at the AFOSR 2013 Spring Review. At this review, Program Officers from AFOSR Technical Divisions will present briefings that highlight basic research programs beneficial to the Air Force.
Final presentation for Ordinance Survey sponsored MSc ProjectIris Kramer
MSc Archaeological Computing (GIS and Survey), University of Southampton.
“An archaeological reaction to the remote sensing data explosion. Reviewing the research on semi-automated pattern recognition and assessing the potential to integrate artificial intelligence”
Spectral Indices Across Remote Sensing Platforms and Sensors Relating to the ...Mallikarjun Mishra
With advances in remote-sensing technology and higher-quality products, the field of spectral indices has experienced a sizeable progressive evolution. These spectral indices computed by using different brands of remote-sensing products and applying additive, subtractive, or normalizing operations, have been and are being devised to detect diverse objects in various spheres of our planet. For instance, there are spectral indices that detect and delineate plant leaf moisture, that biome comes under biosphere, at distinctive spatial scales. There are other indices that are used to extract elements from the lithosphere like iron oxide content, or to show clay mineral content, etc. Similarly, there are spectral indices to detect various elements which constitute other spheres of our planet. In this work, we have used the Web of Science (WoS) database from 1999 to 2022 and searched for only English language research journals, book chapters, books, and scientific reports. We found 2227 documents in all the categories to perform a systematic, scientometric review regarding spectral indices used for the identification of elements constituting various objects of the five different spheres. The primary objective of this chapter is to present a systematic and scientometric review of spectral indices used for quantification of different elements of all the spheres of our planet relating to lithosphere, hydrosphere, atmosphere, biosphere, and anthroposphere, across remote-sensing platforms and sensors. The study also examines the rationale of spectral indices across the ever-advancing remote-sensing platform and sensors, and their future challenges, and investigates the challenges and prospects of this domain of study. This study will be useful for acquainting new researchers with the use spectral indices for their specific objectives.
An important measurable indicator of urbanization and its environmental implications has been identified as the urban
impervious surface. It presents a strategy based on three-dimensional convolutional neural networks (3D CNNs) for extracting
urbanization from the LiDAR datasets using deep learning technology. Various 3D CNN parameters are tested to see how they
affect impervious surface extraction. For urban impervious surface delineation, this study investigates the synergistic
integration of multiple remote sensing datasets of Azad Kashmir, State of Pakistan, to alleviate the restrictions imposed by
single sensor data. Overall accuracy was greater than 95% and overall kappa value was greater than 90% in our suggested 3D
CNN approach, which shows tremendous promise for impervious surface extraction. Because it uses multiscale convolutional
processes to combine spatial and spectral information and texture and feature maps, we discovered that our proposed 3D
CNN approach makes better use of urbanization than the commonly utilized pixel-based support vector machine classifier. In
the fast-growing big data era, image analysis presents significant obstacles, yet our proposed 3D CNNs will effectively extract
more urban impervious surfaces
Global Land Cover and Intelligent Analysis of Remote Sensed ImagesMaria Antonia Brovelli
ISPRS Session at the United Nations World Geospatial Information Congress.
Maria Antonia BROVELLI 1, Wen-zhong John SHI 2 , Peng SHU 3, Qingquan LI 4, Serena COETZEE 5
1 Politecnico di Milano – Italy; 2 The Hong Kong Polytechnic University – Hong Kong; 3 National Geomatics Center China; 4 Shenzhen University – China; 5 University of Pretoria – South Africa
The basic intention of this presentation is to help the beginners in GIS to understand what GIS is? It is a simple presentation about GIS, i mean an introductory one. Hope anyone finds it useful.
National Highway Alignment from Namakkal to Erode Using GISIJERA Editor
The vision of the Highway Alignment is to increase the capacity, connectivity, efficiency and safety of the Highways System so as to enable balanced socioeconomic development of all sections of the people and all regions from NAMAKKAL to ERODE via and to reduce the traffic and travelling of the state. It is to establish shortest path for road network time in the roads which provide a better and comfortable base for updating the traffic and other related information in road administration. It is to identify the short route for the vehicles traveling from NAMAKKAL to ERODE and to reduce the time travel for the vehicles with possible paths or routes or places for laying eco-friendly highway. To optimize the route for the vehicles traveling from NAMAKKAL to ERODE using GIS with Network analysis tools. From this we can find the suitable route for peoples to carry out without any traffic disturbances and protecting the environment. It also took advantages of GIS capabilities that offer the ability to overlay maps, merge them, and perform spatial analysis on various layers of information in either two or three dimensions
TERRAIN CHARACTERISTICS EVALUATION USING GEO SPATIAL TECHNOLOGY: A MODEL STUD...IAEME Publication
Physical characteristics such as Base map, Drainage, watershed, Ground water,
Physiography, Geomorphology, slope etc; for a study area are Required for many development
activities for Human needs, Creation of these Physical characteristics information system with
the help of Remote Sensing and Geographic Information System (GIS) Could be helpful in
getting the precise and valuable spatial information in understanding the present Scenario
contemplating with the past data and predicting the future trends. The main objective of this
study is to evaluate and map the Physical characteristics of Kothagudem , Khammam Dist;
area using Remote sensing and Geographic Information System(GIS). The thematic layers are
derived from Survey of india(SOI) topomaps using visual interpretation technique. These maps
are converted to digital format and further integrated in ARCGIS software for the generation
of final outputs
Global Land Cover and Intelligent Analysis of Remote Sensed ImagesMaria Antonia Brovelli
ISPRS Session at the United Nations World Geospatial Information Congress.
Maria Antonia BROVELLI 1, Wen-zhong John SHI 2 , Peng SHU 3, Qingquan LI 4, Serena COETZEE 5
1 Politecnico di Milano – Italy; 2 The Hong Kong Polytechnic University – Hong Kong; 3 National Geomatics Center China; 4 Shenzhen University – China; 5 University of Pretoria – South Africa
The basic intention of this presentation is to help the beginners in GIS to understand what GIS is? It is a simple presentation about GIS, i mean an introductory one. Hope anyone finds it useful.
National Highway Alignment from Namakkal to Erode Using GISIJERA Editor
The vision of the Highway Alignment is to increase the capacity, connectivity, efficiency and safety of the Highways System so as to enable balanced socioeconomic development of all sections of the people and all regions from NAMAKKAL to ERODE via and to reduce the traffic and travelling of the state. It is to establish shortest path for road network time in the roads which provide a better and comfortable base for updating the traffic and other related information in road administration. It is to identify the short route for the vehicles traveling from NAMAKKAL to ERODE and to reduce the time travel for the vehicles with possible paths or routes or places for laying eco-friendly highway. To optimize the route for the vehicles traveling from NAMAKKAL to ERODE using GIS with Network analysis tools. From this we can find the suitable route for peoples to carry out without any traffic disturbances and protecting the environment. It also took advantages of GIS capabilities that offer the ability to overlay maps, merge them, and perform spatial analysis on various layers of information in either two or three dimensions
TERRAIN CHARACTERISTICS EVALUATION USING GEO SPATIAL TECHNOLOGY: A MODEL STUD...IAEME Publication
Physical characteristics such as Base map, Drainage, watershed, Ground water,
Physiography, Geomorphology, slope etc; for a study area are Required for many development
activities for Human needs, Creation of these Physical characteristics information system with
the help of Remote Sensing and Geographic Information System (GIS) Could be helpful in
getting the precise and valuable spatial information in understanding the present Scenario
contemplating with the past data and predicting the future trends. The main objective of this
study is to evaluate and map the Physical characteristics of Kothagudem , Khammam Dist;
area using Remote sensing and Geographic Information System(GIS). The thematic layers are
derived from Survey of india(SOI) topomaps using visual interpretation technique. These maps
are converted to digital format and further integrated in ARCGIS software for the generation
of final outputs
Dive into the innovative world of smart garages with our insightful presentation, "Exploring the Future of Smart Garages." This comprehensive guide covers the latest advancements in garage technology, including automated systems, smart security features, energy efficiency solutions, and seamless integration with smart home ecosystems. Learn how these technologies are transforming traditional garages into high-tech, efficient spaces that enhance convenience, safety, and sustainability.
Ideal for homeowners, tech enthusiasts, and industry professionals, this presentation provides valuable insights into the trends, benefits, and future developments in smart garage technology. Stay ahead of the curve with our expert analysis and practical tips on implementing smart garage solutions.
White wonder, Work developed by Eva TschoppMansi Shah
White Wonder by Eva Tschopp
A tale about our culture around the use of fertilizers and pesticides visiting small farms around Ahmedabad in Matar and Shilaj.
Transforming Brand Perception and Boosting Profitabilityaaryangarg12
In today's digital era, the dynamics of brand perception, consumer behavior, and profitability have been profoundly reshaped by the synergy of branding, social media, and website design. This research paper investigates the transformative power of these elements in influencing how individuals perceive brands and products and how this transformation can be harnessed to drive sales and profitability for businesses.
Through an exploration of brand psychology and consumer behavior, this study sheds light on the intricate ways in which effective branding strategies, strategic social media engagement, and user-centric website design contribute to altering consumers' perceptions. We delve into the principles that underlie successful brand transformations, examining how visual identity, messaging, and storytelling can captivate and resonate with target audiences.
Methodologically, this research employs a comprehensive approach, combining qualitative and quantitative analyses. Real-world case studies illustrate the impact of branding, social media campaigns, and website redesigns on consumer perception, sales figures, and profitability. We assess the various metrics, including brand awareness, customer engagement, conversion rates, and revenue growth, to measure the effectiveness of these strategies.
The results underscore the pivotal role of cohesive branding, social media influence, and website usability in shaping positive brand perceptions, influencing consumer decisions, and ultimately bolstering sales and profitability. This paper provides actionable insights and strategic recommendations for businesses seeking to leverage branding, social media, and website design as potent tools to enhance their market position and financial success.
Book Formatting: Quality Control Checks for DesignersConfidence Ago
This presentation was made to help designers who work in publishing houses or format books for printing ensure quality.
Quality control is vital to every industry. This is why every department in a company need create a method they use in ensuring quality. This, perhaps, will not only improve the quality of products and bring errors to the barest minimum, but take it to a near perfect finish.
It is beyond a moot point that a good book will somewhat be judged by its cover, but the content of the book remains king. No matter how beautiful the cover, if the quality of writing or presentation is off, that will be a reason for readers not to come back to the book or recommend it.
So, this presentation points designers to some important things that may be missed by an editor that they could eventually discover and call the attention of the editor.
Hello everyone! I am thrilled to present my latest portfolio on LinkedIn, marking the culmination of my architectural journey thus far. Over the span of five years, I've been fortunate to acquire a wealth of knowledge under the guidance of esteemed professors and industry mentors. From rigorous academic pursuits to practical engagements, each experience has contributed to my growth and refinement as an architecture student. This portfolio not only showcases my projects but also underscores my attention to detail and to innovative architecture as a profession.
1. Remote Sensing and GIS (OE7302)
L-T-P-CR: 3-0-0-3
Pre-requisite: No
Objective: To know about the principles of remote sensing and spectral signatures and about satellites, types
of remote sensing and digital image processing. To know the applications of remote sensing and
GIS for various applications of Civil Engineering
Theory:
1. Remote Sensing – Principle - Electro-magnetic energy, spectrum – Spectral Signature and Spectral
Signature curves for water, soil and Earth Surface, Atmospheric Windows and its Significance
8 Lectures
2. Satellites - Classification – sensor platforms - Resolution – Types of Remote Sensing - Visual
Interpretation of Images.
5 Lectures
3. Digital Image Fundamentals – Image pre-processing – Image processing.
10 Lectures
4. GIS - Components of GIS – Hardware, Software, Data – Spatial and Non-Spatial – Data Input
Sources–– DBMS – Data Output - Data models - Raster and Vector data structures
5 Lectures
5. Basics of Geodesy and Scale, Ellipsoid, Horizontal Datum, Vertical Datum, Map Projection,
Coordinate System
8 Lectures
6. Applications of Remote Sensing and GIS – Environments, Transportation, Structural Health
Monitoring, Water Resources Management
8 Lectures
Expected Outcome:
On completion of the course, the students will be able to: Apply the concepts of GIS, Remote Sensing and
Digital Image Processing to possible areas of Civil Engineering.
Recommended Books:
1. Stephen R. Galati, Geographic Information Systems Demystified, ARTECH HOUSE, INC. 685
Canton Street Norwood, MA 02062, London, 2006
2. C.P. Lo and Albert K. W. Yeung, Concepts and Techniques of Geographical Information Systems,
Prentice- Hall India, 2006.
3. Thomas. M. Lillesand and Ralph. W. Kiefer, Remote Sensing and Image Interpretation, John Wiley
and Sons, 2003.
4. P. S. Roy, Dr. R.S. Dwivedi and D.Vijayan, Remote Sensing Applications, NRSC, ISRO.
5. Qihao Weng, Remote Sensing and GIS Integration, McGraw-Hill, 2010
6. Yang Hong, Yu Zhang and Sadiq Ibrahim Khan, Hydrologic Remote Sensing, CRC Press, Taylor &
Francis Group, 2016
7. Burrough P.A. and Rachel A. McDonell, Principles of Geographical Information Systems, Oxford
Publication, 2004.
