Poster Presentations

Study the relationship between ndvi and ndbi on the status changes in urban heat islands: A remote sensing based analysis on kelaniya, sri lanka

U. I. Samarawickrama, Scientific Assistant, Computer Unit, Faculty of Agriculture, University of Ruhuna, Sri Lanka
Manjula Ranagalage, Senior Lecturer, Department of Environmental Management, Rajarata University of Sri Lanka
M. K. D. K. Piyaratne, Senior Lecturer, Computer Unit, Faculty of Agriculture, University of Ruhuna, Sri Lanka

As a result of urbanization, soft land covers in city areas are replaced with manmade heat storing materials. Consequently Normalize Difference Vegetation Index (NDVI) and the Normalize Difference Building Index (NDBI) values are changed and surface temperature is increased. This is the phenomenon of heat island formation. Kelaniya Divisional Secretariat (DS) division is having the highest population density in Gampaha District. Kelaniya is subjected to heat stress due to manmade and man induced activities. The main objective of this study was to estimate the relationship between NDVI and the NDBI on changes of the heat island status. Satellite images from Landsat 5 and 8 were used to derive the heat island areas and their NDVI, NDBI values in Kelaniya. The extracted NDVI, NDBI values were compared with the status changes of the heat islands. A relationship between NDVI and NDBI values with the nature of the change of heat island status is shown only in some areas. Therefore, there is no direct relationship between values of NDVI and NDBI and changes in heat island status.

Key words: Heat island, Land Cover, Heat Stress

Poster Presenter's Bio

I'm Udaranga Iroshan Samarawickrama, attached to faculty of Agriculture, University of Ruhuna and working as a Scientific Assistant. I'm an Agriculture graduate, graduated in year 2010 with a second class upper division honors. At present I’m reading my masters in Geo Informatics. Conducting lectures on GIS and remote sensing to the undergraduate students and carried out research activities in geo informatics are the main events in my job.

Developing a methodology to find out approximate locations of students in a spatial information tracking system case study: Faculty of agriculture, university of ruhuna, sri lanka

Priyankara ACP, System Engineer, University of Ruhuna, Sri Lanka
Kumara BAUI, Project Manager, Ministry of Education
Piyaratne MKDK, Senior Lecturer, University of Ruhuna

A Spatial Information Tracking System provides additional value for an University Management Information Systems (MIS). Both systems together leads to process of decision making much easier. A web based Student Spatial Information Tracking System was developed as a module of MIS in Faculty of Agriculture, University of Ruhuna, Sri Lanka. The module is a WebGIS (Geographical Information System) Application which is based on 3-tier architecture running on LAMP and Google Maps API used as the IMS. At the beginning of the system, there weren’t any locational tags of students stored in the database. Therefore used a different methodology to find out an approximate location of a student until the student will update his/her correct location to the system. GND (Grama Niladhari Divisions) Map of Sri Lanka was used for the preparation of approximate locations and projected it to WGS1984 cordinate system because Google Maps which uses WGS1984 for the overlay. Then calculated centroids of GND and stored in the database to find out approximate location of a student after comparing his/her GND. Later the student can update his /her correct location within the boundary of his/her GND.

Poster Presenter's Bio

Mr. ACP Priyankara is currently working as the System Engineer of Faculty of Agriculture, University of Ruhuna, Sri Lanka. He is responsible to manage all computer systems established in the Faculty. Other than that he is involving in academic, research and development activities of the faculty. He did BSc in Computer Science Special at University of Colombo. Further, he did his master in Geo-Informatics at University of Colombo too.

Real time technical solutions for timely detection of floods

Gowthamraj Srinivasan, Student, University of Petroleum and Energy Studies, India
Divya Singhal, Student, University of Petroleum and Energy Studies
Abhilasha Bhatnagar, Student, University of Petroleum and Energy Studies
Vedant Sood, Student, University of Petroleum and Studies

In this world where we have been racing against technology for luxuries since years, it is high time we find use of it in the natural disaster domain. Each day we hear about natural catastrophes happening around, causing widespread calamity. As a tech-remedy, solution for flood management and responsive measures, with the aid of geo-spatial technology is presented. Sensors installed at the perennial points of the river measure the flow rate and sedimentation rate. On the indication of limit crossed, the sensors would activate the smart levee mechanism to channelize the river to a less hazardous region. Rain gauge network is designed using sensors in the rain gauges which can detect the heavy rainfall and instantly send signals to the server. The data acquired from the rain gauge network along with the flow rate and coordinates procured by the sensors are analyzed to know the locations to be flooded. Automatic generated report is sent to concerned authorities and people, who are intimated of the probable locations of the overflow. This technology not only reduces the processing time of analysis of approaching devastation but also puts up a near feasible plan of preparedness in action.

Poster Presenter's Bio

Pursuing B.Tech in Geo Informatics, certified GIS analyst, projects: “Intelligent Traffic System”, "Mobile Application designing (GIS in Election process - Smart-i-campaigning mobile application)", summer intern at Eco Spatial research Technology at Bengaluru. Currently, Deputy IT Head in UPES AAPG Student chapter and working on a project, “Analyzing the solar potential of UPES with the aid of GIS”.

Using gis in planning of sustainable urban ecology

M . M . Sheikh, Associate Professor, Govt. Lohia College, Churu, India

As the world population grows to 9 billion by 2050, according to the United Nations, the number of those living in urban areas will swell by 3 billion to hit 6.3 billion. Sustainable development requires mobilizing governments, the private sector, and the general public toward sustainable communities. Sustainable urban development is ultimately a cultural statement about ourselves; how we want to live, and our ability to manage our needs, desires, and dreams in ways that are effective and caring. (UN Conference on Environment and Development, 1992) The paper highlights the role of GIS and remote sensing techniques to analyze ecological carrying capacity of urban areas as well as calculating ecological footprint of urban dwellers. This will increase interest in establishing sustainable urban planning regime to maintain idealized urban ecology.

Keywords: GIS, sustainable development, urban ecology, natural resources.

Poster Presenter's Bio

M. M. Sheikh is Associate Professor in Geography in Govt. Lohia P.G. College, Churu, INDIA. Dr. Sheikh stared his career with Indo-German Kfw water and sanitation project in Churu, Rajasthan, India. About 33 papers and eight books has been published. The main thrust areas are natural resource management, biodiversity and rain water issues in desert area. Dr. Sheikh visited to Germany, The Netherlands, France, Belgium, UK and China.

Feature analysis techniques for evaluation of airborne synthetic aperture radar images

Dr. S. Manikandan, Scientist – D, Electronics and Radar Development Establishment, Defense Research and Development Organisation, India
Chhabi Nigam, Scientist – D, Electronics and Radar Development Establishment, Defense Research and Development Organisation
S. Ramakrishnan, Scientist F, Electronics and Radar Development Establishment, Defense Research and Development Organisation
Vardhini J P, Scientist F, Electronics and Radar Development Establishment, Defense Research and Development Organisation

Synthetic Aperture Radar (SAR) is one of the advanced techniques of radar imaging mounted on a moving platform such as an aircraft or spacecraft, from which a target scene is repeatedly illuminated with pulses of radio waves and received successively at the different positions and processed together to resolve elements in an image of the target region. In literature, different image formation algorithms and image focusing algorithms are available to resolve radar echoes into image pixels. In order to study the interaction of electromagnetic waves with a scene that is being imaged into a pixel, feature based analysis techniques based on pixel values in SAR images are proposed in this paper. The extreme complexity and variety of landscape constituted by objects of different form, size and material leads to difficulty in SAR image analysis and interpretation in spite of high resolutions,. Moreover, for a complete description, mutability of a scenario changing over time has to be considered. SAR image Feature and detection analysis based on pixel values using histogram techniques, textural analysis techniques, SIFT, SURF and statistical methods are studied and analysis results are given in this paper.

Poster Presenter's Bio

Dr. S. Manikandan Completed M.E and Ph.D in 2004 and 2008. From 2008 to 2010 worked Senior Research Engineer at NeuroFocus Inc., chennai. In July 2010, he has joined DRDO as Scientist at LRDE, Bangalore. His area of interest includes image processing, video processing, SAR signal processing, Computer vision and pattern Recognition. He has published around 24 papers in international journals and conferences. He is reviewer of IEEE and IET journal of image processing.

Mitigating water crisis through drought assessment for latur, india

Pankaj Shukla, Student, College of Engineering, Pune, India
Omkar Parishwad, Assistant Professor, College of Engineering, Pune

Watershed is an ideal unit for management of natural resources like land and water for mitigation of the impact of natural disaster for achieving sustainable development. The aim of the study is to prepare Drought Mitigation Plan for Latur city. The study is carried out in watershed area for Latur, Manjra sub basin. The research is includes delineation of watershed area using satellite imagery of Cartosat DEM and a comparison of LANDSAT satellite data and IRS-1C/LISS-III satellite data to study the changes occurring in built up area, forest, and water bodies of the basin. The significant factors for planning and management of watershed- its physiography, geomorphology, soil, land-use/land-cover, availability of water resources and its consumption patterns, runoff coefficient for the areas topography and study of hydrological cycle etc. are further considered for analysis. The paper finally concludes on the efforts required to conserve, sustain and enhance rainwater to recharge the ground water resources through watershed development, and the suitable models and methods for watershed management of Latur.

Keywords: Watershed Management and Development, Drought Mitigation Plan, Cartosat DEM, Land use/Land cover, Suitable model for water Conservation.

Poster Presenter's Bio

Paper published: ‘Omkar Parishwad and Pankaj Shukla on Sustainable Municipal Solid Waste Management and Economics of Informal Sector, for Inclusion in India’. Winner MIT TESLA - 16 Smart City Competition. Participated in various Township Competitions at MIT, COEP, TRINITY, SINHGAD & GOVT.AVSARI College. Currently work in COEP in UBA (Unnat Bharat Abhiyan). Actively participated in XVII Annual NOSPLAN-2015 Convention at COEP.

Study of IRS 1C-LISS III Image and Identification of land cover features based on Spectral Responses

Rubina Parveen, Research Scholar, VTU, Belagavi, Karnataka, India
Dr. Subhash Kulkarni, Professor, PESIT, India
Dr. V D Mytri, Principal, AppaIET, India

Satellite remote sensing with repetitive and pan viewing and multispectral capabilities, is a powerful tool for mapping and monitoring the ecological changes. Analysis of the remote sensing data is faced with a number of challenges ranging from type of sensors, number of sensors, spectral responses of satellite sensors, resolutions in different domains and qualitative and quantitative interpretation. Any analysis of satellite imagery directly depends on the uniqueness of above features. The multispectral image from IRS LISS-III sensor has been used as the primary data to produce land cover classification. This paper reports on the study of LISS III image, with emphasis on spectral responses of satellite sensors. The aim of the study was to know all the relative details of the data as the primary requirement for any study. Indian Remote Sensing IC Linear Integrated self-scanning (IRS IC-LISS III) imagery data set specifications and its use for land cover classification were also discussed. This study can be used as a primary literature for analysis of IRS LISS III Image.

Poster Presenter's Bio

Rubina Parveen completed her BE (ECE) in 2004 with 70% from VTU, Belagavi, Mtech (Communication Systems), in 2008 with second rank to the university from VTU, Belagavi. Pursuing research work (Area Geospatial analysis using IRS LISS III Image) at VTU, Belagavi. Research area interests are image processing, math works, satellite image analysis.

Regeneration of a part of an image using Corrnet in Aerial Photography

Santhosh S, Assistant Professor, Department of Electronics and Communication Engineering
Bhuvaneshwari, Assistant Professor, Department of Computer Science and Engineering
Naveen Kumar S, UG Scholar, Department of Civil Engineering
Hari Sundar G K, UG Scholar, Department of Civil Engineering
Dhirajlal Gandhi College of Technology, Salem.

In GIS, there Is the requirement of certain preprocessing steps. One among Preprocessing in GIS involves in reforming satellite images. Swath width limitation of the satellite creates problem in capturing an area instantly. In the current system, during preprocessing this limitation is rectified by human intervention. This poster suggests the use of deep learning concept to merge the images. The poster suggests the use of advanced deep learning method called correlation neural networks (Corrnet) for the generation of missed portion. Corrnet is used in generating missed portion of an image. The approach maximizes the correlation among different views in the common subspace, then the algorithm is trained with negative decent to scale to big data. This approach allows in reconstruction of missed portion of an area effectively. The proposed method eliminates the need of human and the satellite usability for the better view of an image.

Poster Presenter's Bio

Mr. Santhosh completed his M.Tech in 2015 at Amrita Vishwa Vidyapeetham and B.Tech in 2012 at SRM University. From 2012 to 2013 he worked for Accenture India Ltd, Chennai. He joined as Assistant professor in the Department of Electronics and Communication Engineering, Dhirajlal Gandhi College of Technology, Salem in 2015. His area of interest includes GIS, Deep leaning, Image Processing, Signal Processing, SDR.

Detection of Recent Aeolian Modifications in the Nili Patera Dune Field: Implications of Ongoing Wind Depositional Activities on Mars

Poornima K.V, Associate Professor, Department of Civil Engineering, Hindustan University, India
S. Vijayan, PLANEX, Physical Research Laboratory, Ahmedabad, India
Rishitosh K. Sinha, PLANEX, Physical Research Laboratory, Ahmedabad, India
D. Banerjee, PLANEX, Physical Research Laboratory, Ahmedabad, India

Aeolian processes are found to dominate the recent surface history of Mars, as observed from temporal analyses of high-resolution remote sensing datasets of dune fields on Mars that demonstrated the dunes to be sensitive to subtle shifts in the wind circulation patterns The major science question emerging from decade long observations regarding the influence of wind on dunes is deciphering the extents to which wind depositional environments are currently active on Mars and to improve our understanding of the localized wind circulation patterns. To this end, a sub-meter level analysis of dunes in the Nili Patera region (8.3˚N, 67.3˚E) of Mars was performed. MRO-HiRISE (25 cm/pixel) temporal images acquired during 2007 and 2014 were used for the study of the dune changes. A detailed morphological analysis of individual dune facets was carried out first, followed by analysis of visual changes to quantify and infer the extents of wind erosional, modification and depositional environments. These changes were found to occur along dune margins on the windward and leeward sides of the dune, which includes horns and slip faces. Based on these observed sub-meter level wind related dune modifications, a localized wind flow pattern rose diagram has been generated for the first time. From the preliminary analysis, quantification of the dune shifts over a range of ~ 0.9 m to ~3 m with a 7 year interval (2007 & 2014) were carried out. This study implicates that within period of 7 years (2007-2014) there is a significant change along the dune boundary. Taken together, our study enables us to provide insights on the effectiveness of the erosional and depositional activities in the Nili Patera region by estimating the temporal sub-meter level changes along the dunes margins. This will further help in demonstrating and understanding the complexity of the wind pattern in Nili Patera by producing the localized wind flow pattern rose diagram based on the sub-meter level marginal changes of the several dunes primarily due to erosion and deposition taking place over multiple years.

Poster Presenter's Bio

I am Poornima K V working at Hindustan University as Assistant Professor in the Department of Civil Engineering. I had earlier worked as a Project Associate at Physical Research Laboratory, Ahmedabad. I completed my Masters in Remote Sensing and GIS from SRM University and completed my Bachelor’s degree in Civil Engineering from Avinashilingam University.


Mitesh Patel, Technical Architect and SME, Pitney Bowes Inc., India
Kapil Chaudhary, Senior Advisory Engineer, Pitney Bowes
Samta Sharma, Pitney Bowes

Rural India is the backbone of our country. Any development unless contained from rural India would not become much effective. With our wish to become digital country it is the access to internet which counts most. Various surveys show that 75% of new Internet users in India will come from rural India. Mobile internet penetration is estimated to grow 56% YoY. It has been forecasted that 71% of the mobile internet users in India will hail from urban areas and rest from Rural area. Buoyed by Internet penetration in rural areas, the number of web users in India will see a two-fold rise at 730 million by 2020. We could capture past trails and predict future growth of internet into rural areas using Geospatial data. In this paper, we are presenting one such study. We utilised Geospatial technology to study the ground level facts. We have collected massive crowd sourced point data of various radio signal measurements from for past few years. In order to create time series data, we used various interpolation techniques available in MapInfo Pro Advanced to process this massive point data and generate the heat maps. These heat maps are then stored as temporal MRR (Multi Resolution Raster) image to run further analysis tools. This enables us to visualise and analyse past and current trends to validate how rural areas are progressing with internet adoption. We extracted key information in the form of geospatial images like which generation (2G,3G,4G) of mobile internet is consumed most, differential maps between different time points to find adoption levels, availability of service by different Telco, and clusters of network availability.

Poster Presenter's Bio

Mitesh is working as a Technical Architect and SME at Pitney Bowes, having 15 years of experience developing Desktop and Web enterprise GIS software products and solutions, have expertise in rendering, processing, 3D techniques and storage techniques for spatial dataset. He developed vector tile based Map server and client solutions, Map authoring services, 3D virtual Globe, and High Performance Computing applications while working with a start-up. Architected and developed IOT based telematics solution for Algorithm based Taxi Dispatch Systems and GPS based Asset tracking, Scheduling, Routing and Asset Management. Worked on 3D Visualization and analysis, Virtual/Mixed Reality systems, Natural User Interface and Hardware accelerated processing of Aerial surveys.