About Me |
|---|
Dr.Prafulla Kumar Panda Joined at Centurion University of Technology and Management in Department of Civil Engineering on 25.8 2011. He has more than 12 years of experience in Teaching and research.He has done his Ph.D at Centurion university of technology and management in the field of Remote sensing and GIS, completed his M.Tech on(Remote Sensing and GIS) from Bharathi Dasan university in 2009.He worked at IIT Kanpur as a Senior Project Associate from 2009-2011.He has more than 25 Peer reviewed journals and more than 15 Conference papers to his credit.He has completed Completed two sponsored projects from DST/NRDMS .He is active member in various professional bodies/societies.He is serving as an editorial board member and reviewer for various journals.He has been awarded: 1. Young Scientist Award in the International Scientist Awards on Engineering, Science and Medicine by VDGOOD,4th June 2021 2. Received 9th Science & Technology Awards-20 from, EET, India 3. Received Bharat Vikash award from ISR Year 2019. 4. Received Research Excellence Award from InSc (Institute of scholar) year 2019. 5. Received award “Award for Creative Invention" in "Research Excellence and Academic Awards” 2018, From CSERD |
- Advance surveying
- fluvial and tectonic geomorphology
- Remotesensing and GIS
- Disaster Management
- Water resources
- Surveying I and II
- Remotesensing and GIS
- Transportation Engineering
- Irrigation Engineering
- Engineering Geology
- Remotesensing and GIS
- Advance Surveying
- Geology
- Geomorphology
- Innovation
- Teaching
- ArcGIS
- Global Mapper
- ENVI
- ERADAS and GPS application
Research Fields
.
To study the surface signature using IRS P6 LISS-IV image and SRTM data .For the study of the sub surface architecture using resistivity and gravity data.
2
concentrated on addressing the tribal area issues and associated diseases and also on information on the health problems of the tribal population in the districts of Gajapati and Rayagada of Odisha and to list out the most severe diseases that prevail in the study area. Also, efforts are made to discern the most prevalent diseases causing health impairment in the tribal population in the study area. The present study involves collection of data from different villages in the selected blocks of the Gajapati and Rayagada district in the state of Odisha. Data collection is done through a questionnaire.Mapping of the pockets that are most vulnerable for the diseases and develop an information system for combating the diseases and providing proper health care is carried out during the study. Different thematic layers using GIS that enable identification of Pockets of diseases occurrence and methods of possible prevention are developed. An index for assessing the disease vulnerability at various locations in the study area is the highlight which has potential application for all tribal areas. These layer then integrated after computing the disease vulnerability index using the below given equation.
ð·ð‘‰ð¼= Σ[ð‘ƒð‘Š]ð‘–x[ð‘ƒð‘…]ð‘–ð‘›ð‘–=1
Where [ð‘ƒð‘Š]ð‘– = Weightage assigned to ith influencing parameter, [ð‘ƒð‘…]ð‘–= Rating of the ith influencing parameter in a particular village and n = total number of parameters.
The magnitude of DVI will reflect the relative vulnerability at a village and the values of DVI can be mapped for the selected block in the study area.
Recent Publications (International Journals)
| Sl. No. | Title | Issuer |
|---|---|---|
| 1 | Award for Creative Invention | CSERD |
| 2 | Research Excellence Award | InSc (Institute of scholar) |
| 3 | Bharat Vikash award | ISR |
| 4 | 9Th Science and Technology awrd | Educational EET CRS |
| 5 | Mapathon 2020 | IITB-ISRO-AICTE |
| 6 | Young Scientist Award | VDGOOD Professional Association |
| 7 | Young Scientist Award | VDGOOD |
| 8 | MAPATHON WINNER2020 | IITBombay |
| 9 | MAPATHON WINNER 2022 | IITBombay |
Academic Honors & Awards
Smart Urban Planning | A Model Smart City Using integrated Approch
8. Madusmita Ghadai, Prafulla Kumar Panda and M.L.Narasimham Estimation of Hydro-Geological Parameters in CUTM Campus towards Groundwater Quality Measurement
Madusmita Ghadai, Prafulla Kumar Panda and M.L.Narasimham Estimation of Hydro-Geological Parameters in CUTM Campus towards Groundwater Quality Measurement
Modelling of Floodplain Using Recent Technology
Floodplains are land areas adjacent to rivers and streams that are subject to recurring inundation. Owing to their continually changing nature, floodplains and other flood-prone areas need to be examined in the light of how they might affect or be affected by development A Floodplain is the normally dry land area adjoining river or stream that is inundated during flood events. The most common reason for flooding could be over topping of river or stream due to heavy downfall. The floodplain carries flow in excess of the river or stream capacity. Flood frequency and flood water-surface elevations are the crucial components for the evaluation of flood hazard. This Review paper presents the recent methodology that incorporates advanced technologies for hydrologic and hydraulic analyses that are needed to be carried out to predict the flood water-surface elevations for any ungagged watershed.
HYPERSPECTRAL IMAGE ANALYSIS FOR IRON ORE DISCRIMINATION IN KEONJHAR DISTRICT, ODISHA
The use of remote sensing techniques in the discrimination of rock and soil classes can support a diverse range of activi-ties, such as environmental characterization, mineral explo-ration etc. Although images with low spectral resolution can commonly be used in the mapping of classes possessing distinct spectral properties, the availability of new genera-tion of Hyperspectral sensors such as Hyperion has lead to new challenges in the area of mineral mapping. This re-search investigated the effectiveness of EO1 Hyperion data acquired from mined area for the discrimination of Iron ore in Keonjhar district, the northern part of Odisha, India. Atmospheric correction and other preprocessing opera-tions on the Hyperspectral imagery have been performed by using routine procedures. The spectral classification is done by the spectral angle mapper classification (SAM) according to the given steps: a) Spectral reduction by minimum noise fraction (MNF), b) Spatial reduction by the pixel purity in-dex (PPI) and c) manual identification of the end members using the N-Dimensional Visualiser. These procedures al-lowed showing the kind of landscape that presents a strong correlation with geology. A spectral matching technique is followed after the classification. The results of the spectral matching technique indicate the accurate sites for the dis-crimination of iron ore minerals by the Hyperion data.
SPACE TECHNOLOGY FOR NATURAL DISASTER MANAGEMENT
Natural disasters are extreme events within the earth's system that result in death or injury to humans, and damage or loss of valuable properties, such as buildings, communication systems, agricultural land, forest, natural environment etc. The economic losses due to natural disasters have shown an increase with a factor of eight over the past four decades, caused by the increased vulnerability of the global society, but also due to an increase in the number of weather-related disasters. For the management of natural disasters a large amount of multi -temporal spatial data is required. Satellite remote sensing is the ideal tool for disaster management, since it offers information over large areas, and at short time intervals. Although it can be utilised in the various phases of disaster management, such as prevention, preparedness, relief, and reconstruction, in practice up till now it is mostly used for warning and monitoring. During the last decades space technology has become an operational tool in the disaster preparedness and warning phases for cyclones, droughts, and floods. The use of remote sensing is not possible without a proper tool to handle the large amounts of data and combine it with data coming from other sources, such as maps or measurement stations. Therefore, together with the growth of the remote sensing applications, Geographic Information Systems have become increasingly important for disaster management. This chapter gives a review of the use of space inputs and GIS for a number of major disaster types. Key words: Natural Disasters, Earthquakes, landslides, volcanoes, Remote Sensing, GIS.
Vulnerability of Flood in India: A Remote Sensing and GIS Approach for Warning, Mitigation and Managemen
The conventional means to record hydrological parameters of a flood often fail to record an extreme event. Remote sensing technology along with geographic information system (GIS) has become the key tool for flood monitoring in recent years. Development in this field has evolved from optical to microwave remote sensing, which has provided all weather capability compared to the optical sensors for the purpose of flood mapping. The central focus in this field revolves around delineation of flood zones and preparation of flood hazard maps for the vulnerable areas. In this exercise flood depth is considered crucial for flood hazard mapping and a digital elevation model (DEM) is considered to be the most effective means to estimate flood depth from remotely sensed or hydrological data. The aim of this review is to synthesize the state of art literature in the application of Geographical Information Systems (GIS) and Remote Sensing (RS) techniques in all the flood management stages (pre-flood, during flood and post-flood stages. This paper presents a review of application of remote sensing and GIS in flood management with particular focus on the developing county like India. Key words: (Flood, remote sensing Geographic Information System, Digital elevation model, Hazard mapping, monsoon)
Hydrological and 1 D Hydrodynamic Modeling of Kosi River Paleochannel, Bihar (India)
Kosi river is the most destructive river in India its location is mainly on north Bihar plane created long history of flooding. It causes death of indigenous people and unending immigration of native villagers from their home. It is destroying the productive power of fields by depositing bunch of sediments mostly sand through over bank flooding and inundation. Many of the paleochannels of the Kosi river also get rejuvenated during the monsoon and their flow into the present channel of the Kosi is also obstructed due to the embankments along the left bank. In fact, the embankment along the left bank is too close to the active channel and the river has no place to spread its overbank flows. Even if lot of research work has been done by flood control management of Indian government in the Kosi river basin but not proper solution is discovered till now to protect the recurrent and extensive flooding, expected reason behind that is the very high variability discharge, high sediment delivery from uplifting neighborhood. HEC –RAS based hydraulic modeling for estimating maximum carrying capacity of one paleochannel has been done in this study. Its geomorphologic information like Shape of paleochannel, flow direction identification and data generation is obtained in Arc-GIS platform, and extracted data from ArcGIS about cross section profile, longitudinal profile, and slope value for reach length used in succession to follow the proper methodology in HEC-RAS to get maximum carrying capacity of desired paleochannel. This would expect as 3500 cusec or (ft³/s). It can be use in holding approximate 2.43 percent of 144000 cusec discharges at breach point in year 2008 flooding. The Kosi river main channel flooded water can be delivering into it for safety purpose. Afterward analysis of the maximum capacity of all the paleochanel in Kosi river basin could also be utilize for this purpose to prevent flood in future. This study is performing by using hydraulic model of HEC-RAS with Arc View software to estimate maximum carrying capacity of the concerned paleochannel for the purpose to prevent flood on Kosi river basin in future.
The Indus flood of 2010 in Pakistan: a perspective analysis using remote sensing data
Abstract The Indus flood in 2010 was one of the greatest river disasters in recent history,which affected more than 14 million people in Pakistan. Although excessive rainfall between July and September 2010 has been cited as the major causative factor for this disaster, the human interventions in the river system over the years made this disaster a catastrophe. Geomorphic analysis suggests that the Indus River has had a very dynamic regime in the past. However, the river has now been constrained by embankments on both sides, and several barrages have been constructed along the river. As a result, the river has been aggrading rapidly during the last few decades due to its exceptionally high sediment load particularly in reaches upstream of the barrages. This in turn has caused significant increase in cross-valley gradient leading to breaches upstream of the barrages and inundation of large areas. Our flow accumulation analysis using SRTM data not only supports this interpretation but also points out that there are several reaches along the Indus River, which are still vulnerable to such breaches and flooding. Even though the Indus flood in2010 was characterized by exceptionally high discharges, our experience in working on Himalayan rivers and similar recent events in rivers in Nepal and India suggest that such events can occur at relatively low discharges. It is therefore of utmost importance to identify such areas and plan mitigation measures as soon as possible. We emphasize the role of geomorphology in flood analysis and management and urge the river managers to take urgent steps to incorporate the geomorphic understanding of Himalayan rivers in river management plans.
A model wastewater treatment plant and its implementation Strategy
There is further water scarcity in India as a result of raising groundwater level, according to the current
situation. The study deals with constructing a wastewater treatment plant in Centurion University of Technology
and Management (CUTM), Paralakhemundi campus, Odisha and its utilization for agricultural activities. The study
area comes under the Gajapati district of Odisha where there is more water scarcity compared to other parts of
district. It has been observed that during the summer all the water bodies get dries and peoples of this district mostly
depends upon contaminated water for which they must come across with many health issues. The present study has
been done by constructing the wastewater treatment plant in an area of 750 m2
. The campus comprises of 5 numbers
of hostels, 3 hostel mess and 3 numbers of staff quarters where total population is more than 1500. The wastewater
has been collected from the above buildings and treated in plant for agricultural use. The treatment plant consist of
bar and screen chamber, oil and grease tank, collection tank, sedimentation tank, filtration tank, and control panel.
The supply of water per day is 279 cum and average waste generated is 9.29 cum/hr. By considering the peak factor
as 3, the maximum design flow capacity is 27.89 cum/hr. The estimated cost comes to the tune of Rs. 25, 75,539.
After treatment of water, treated water maintains the standards for agricultural practices and gardening purposes. It
covers an area of 10 hectares under field crops, horticultural crops, planation crops, herbal garden, lawn and
playground being irrigated from this treatment plant.
Effect of Crusher Dust on Geotechnical Properties and Strength Parameters of Highly Plastic Clay
A flexible pavement is consisted of four layers such as surface course, base course, sub-base course, and most importantly sub-grade layer. In rigid pavement the bottom layer that is sub-grade is common. Sub-grade acts as a foundation to the pavement. The sub-grade soil can be clay, sand, morrum etc. If the sub-grade soil is soft or weak there is a great chance of deformation in the pavement and also weak sub-grade soil require larger depth for laying pavement on it. It is not cost effective to replace all the sub-grade soil at the time of construction. Nowadays soil stabilization with admixture is followed everywhere as it is cheaper as compared to other ground improvement techniques. Here stabilization using a non-cementitious admixture is on the focus. In this study crusher dust is used as a stabilizer for clayey soil. Using crusher dust as a stabilizer serves two purposes that is soil stabilization and waste minimization from the quarry industry. In this study certain percentages of crusher dust were added to the soil sample such as 5 %, 10 %, 15 %, 20 % to evaluate the amount of crusher dust that can give the best possible solution to the weak soil. Different kinds of test are performed on the soil and crusher dust mixture to assess the stability and permanency of strength of the sub-grade soil. Reducing the swelling and plasticity of the clay soil is one of the prime targets of this research. The performed tests are Atterberg limits, CBR test, triaxial test, Standard compaction test and Swelling index test. The results in the end support the statement that crusher dust can be good stabilizer for clay soil. Keywords: CBR, Crusher Dust, Plastic Clay,), Maximum Dry Density (MDD), Optimum Moisture Content (OMC), Plastic Index, Swelling Index, Triaxial Test etc.
Dynamic Geomorphology of the Kosi Fan in Consequence to a Mega-Avulsion Aided by Space Inputs and Hydraulic Modeling
Several geomorphic processes are occurring on our planet, so it is always need to understand the geomorphicchanges and evaluate the land form dynamics. The geomorphic evolution of any area can be obtained by detailedland form mapping. In the present study, an area in the parts of the Kosi basin has been selected for the studymainly using remote sensing data. Various fluvial land forms mapped and changes in course of the river have beenevaluated. Digital enhancements of Landsat ETMâº, IRS LISS-IV and Cartosat-1 are found to be quite useful inidentification and mapping of fluvial features. The present study demonstrate the utility of remote sensing in examinethe geomorphic evolution of the area. Geomorphic elements such as active channels, avulsion channel, waterlogged areas, sand bars, meander scar, minor active channels, paleo channels, dry channels etc., were mappedand combined all elements mega geomorphic units prepared such as hard rock terrain, piedmont zone, inactiveflood plain, active flood plain, channel belt, minor active channel and its flood plain, fan surface and avulsion belt.Comparative study carried out for landscape as well as geomorphic evolution between prior to avulsion and postavulsion after the mega event (2008 flood). Remote sensing based geomorphic mapping of the parts of the Kosibasin for the pre and post- to avulsion images have brought interesting changes in the regional landscape inconsequence of a large avulsion which occurred on August 18th, 2008. Major changes occurred in the main channelas well as outer channel. It has been estimated that approximately 511 sq km of agricultural land got converted intosandy areas (moist) making them barren for few years
Land use and land cover change detection study using space input andGIS -a case study for Gajapati district, Odisha
Land is one of the important natural resources. A cities growth is measured not only by population but its spatial dimension. The growth of rural areas has resulted in sharp land use and land cover changes. In recent years, the significance of spatial data technologies, especially the application of remotely sensed and geographical information systems (GIS) has been widely used. The present study investigates the land use and land cover of Gajapati district, Odisha using Landsat satellite images for the year 1995, 2005& 2015. Supervised classification method is used to classify the different classes under the study area. The current study mainly focuses on built-up area in Gajapati district which reveals its expansion by more than fifty percent over the study period. A significant decrease was observed in vegetation areas, agricultural land and open fields of about thirty eight and thirteen percent respectively
(PDF) LAND USE AND LAND COVER CHANGE DETECTION STUDY USING SPACE INPUT AND GIS-A CASE STUDY FOR GAJAPATI DISTRICT, ODISHA ARTICLE INFO. Available from: https://www.researchgate.net/publication/320685491_LAND_USE_AND_LAND_COVER_CHANGE_DETECTION_STUDY_USING_SPACE_INPUT_AND_GIS-A_CASE_STUDY_FOR_GAJAPATI_DISTRICT_ODISHA_ARTICLE_INFO [accessed May 12 2020].
Studies on Assessment of Ground Water Pollution Vulnerability Index for CUTM Campus Paralakhemundi, Odisha through Application of “DRASTIC†Model
Nowadays, the prediction of pollution risk and the protection of groundwater is very
important. The sub-surface hydro-geological environment influences the pollutant to migrate from
surface to sub-surface water. So groundwater contamination can be minimized by delineating and
monitoring vulnerable areas. The main objective of this paper is to find out the groundwater
vulnerability index in CUTM campus, Paralakhemundi, Odisha using DRASTIC model. This model has
seven hydro-geological parameters Depth of Groundwater (D), net Recharge (R), Aquifer media (A)
Soil media (S) Topography (T) Impact of vadose zone (I) hydraulic Conductivity (C). Estimation of
DRASTIC Index has done by multiplying each parameter weight by its rating corresponding to a
particular location in the study area and summing the products of all seven parameters listed above. In
order to assign the ratings, field and laboratory tests have been conducted. Based on DRASTIC index
values it was observed that the vulnerability class in the study area falls between high vulnerability to
very high vulnerability. The results provide important information for the local authorities and decision
making personals for effective management of ground water resource. GIS software has been used for
analysis and mapping the groundwater vulnerability index in the study area.
Keywords DRASTIC index, Groundwater vulnerability, GIS
Rainfall Data Analysis for Estimation of Rainfall Erosivity Factor
Hydro Geomorphological Characteristics and Delineation of Ground Water Potential Zone - A Case Study of Rushikulya and Bahuda Basin, Ganjam Odisha
he present study attempts to delineate different groundwater potential zones using remote sensing and geographic information system (GIS) in Rushikulaya Bahuada Basin of Ganjam district, Orissa. Thematic maps of Geology, Hydrology, geomorphology, land use and land cover, drainage density, were prepared using the Landsat Thematic Mapper data. Relationship of each layer to the groundwater regime has been evaluated. The major hydro geomorphic units identified in the area are, weathered denudation hills, residual hills, Pediments, spit, Valley Fills, beach ridges, Alluvial Palin, flood plain. Most part of the study area is occupied by alluvial plains with various thicknesses and the ground water potential is directly related to thickness of alluvial plain. Field observations showed that ground water occurs under unconfined conditions with water table at shallow to deep depth. From the lineament map, the lineament density and lineament intersection maps prepared to understand the impacts on groundwater percolation. Finally, the hydrogeomorphology and Lineament maps are overlaid following the weighted index overlay method, which delineates groundwater potential zones. An integrated remote sensing and Geographic Information System (GIS) based approach has been used for demarcating groundwater potential zones in the study area. Keywords Geomorphology; Ground water; Remote sensing
(PDF) Hydro Geomorphological Characteristics and Delineation of Ground Water Potential Zone - A Case Study of Rushikulya and Bahuda Basin, Ganjam Odisha. Available from: https://www.researchgate.net/publication/323462803_Hydro_Geomorphological_Characteristics_and_Delineation_of_Ground_Water_Potential_Zone_-_A_Case_Study_of_Rushikulya_and_Bahuda_Basin_Ganjam_Odisha [accessed May 12 2020].
Disease control and combat mapping for tribal fortification using GIS –a case study for selected tribal blocks of Rayagada district, Odisha
Importance of health with respect to all living beings needs no special mention in the contemporary society. However, due to lack of awareness and health care services, many parts of our nation are still gravely affected due to several diseases, mostly the rural areas in general and much in particular the tribal villages.Most of the regions in India still have poor health protecting infrastructure facilities and as a result of which majority of the rural population is suffering from many diseases that could have been controlled with proper understanding of the disease causative process and possible preventive measures. Inorder to provide with better health care facilities in the Public Health Centres (PHCs), a data base of the disease causing agents and the remedial measures in the form of GIS maps will help in regularly monitoring the health level of rural public. An attempt has been made to map most common factors of prevalent diseases in rural and tribal regions in selected blocks spread over Rayagada district of south Odisha state and to develop a health care information system for the tribal regions. A well set methodology wherein the sum of the product of the weightage and rating considering various influencing parameters thatresult in an index referred as “Disease Vulnerability Index†(DVI) is evaluated for a number of villages in the selected blocks of the studyarea.Data analysis has been done for disease vulnerability mapping considering environmental factors,factors that areresponsible for thesustenance of Disease Causing Vectors (DCVs) (Climatic factors),and factors that resist the growth of D.C.Vs (General Sanitation & Drainage).Eachof the disease causing agents and disease spreading means has been assigned with a weightage factor indicative of the disease causing potential. Based on the relative levels of disease causing agents, each parameter has been assigned with a ranking on a 1 to 10 scale to assess the vulnerability level of the parameter at a certain location. Finally Disease Vulnerability Mapsand Disease Control and Combat maps have been generated for each of the blocks under consideration using GIS layering. Number of villages with high % vulnerable values and low % vulnerability values for each block in the study area and number of villages with varying levels of disease controllabilitycould be obtained. Keywords:Disease Mapping, Disease vulnerability index, Geospatial Analysis, PHCs
A DYNAMIC APPROACH FOR SEWAGE TREATMENT PLANT AND ITS IMPLEMENTATION STRATEGY
Change Detection Study Using Geospatial Technology and Remotely Sensed Data- A Case Study for Gajapati
Land use and land cover change were among the most substantial perceptible changes that are happening around us. Land use and land cover information in the form of maps and statistical data is very significant for spatial planning, land management and land utilization. With the changing times and growing demand on the availability of land use and land cover information, a standard classification system, precise description of land use and land cover and its categories, standardized data collectionand mapping procedures across Indian region on different scales becomes relevant.Detection of digital change is the mechanism that helps to assess changes related to land use and land cover properties with respect to geo-referenced multi-temporal remote sensing data. It helps in recognizing changes that are uncharacterized by natural variability between two or more dates. An investigation was carried to define and measure the land use and land cover changes that have occurred in Odisha District Gajapati over the last 25 years using remote sensing and GIS technologies. Land is a natural resource of prime importance. A city not only increases by population but also by changes in the spatial dimensions. The development of rural areas has led to dramatic changes in land use and land cover. The importance of spatial data technology has been widely used in recent years, in particular the application of remotely sensed and geographic information systems (GIS).The present research explores land use and land cover in the district of Gajapati, Odisha using Landsat satellite images for the years 1991, 1995, 2000, 2005, 2010 and 2015. Supervised classification scheme is used to classify the different groups within the area of
study.The study showed that during the study period the built-up area in the district of Gajapati grew bymore than fifty percentages on average. At the other hand, areas under forest, agricultural land, and open fields have decreased respectively by around thirty-eight and thirteen percentages.
Wastewater Treatment Plant and Its Implementation Strategy-A case study
SPACE AND GEOSPATIAL TECHNOLOGY FOR NATURAL DISASTER MANAGEMENT
URBANIZATION OF PARALAKHEMUNDI USING REMOTE SENSING AND GEOSPATIAL APPROACH
Drainage Facilities Development of Paralakhemundi Town Using GIS
Water quality index mapping using geospatial approach – A case study of Paralakhemundi municipality, Gajapati, Odisha
Waste water management
Land Surface Temperature Mapping of Titlagarh Municipality, Odisha- A Geospatial approach
A fourth order orthogonal spline collocation method Interface boundary value problem
(13) (PDF) A fourth order orthogonal spline collocation method Interface boundary value problem. Available from: https://www.researchgate.net/publication/358490473_A_fourth_order_orthogonal_spline_collocation_method_Interface_boundary_value_problem [accessed Jun 23 2022].
Land Surface Temperature Mapping of Titlagarh Municipality, Odisha- A Geospatial Approach
Land surface temperature (LST) is a crucial component in several areas, including environmental issues,
urban growth with respect to land use and land cover balance analyses, and also a significant input for
climate models. LANDSAT data has opened up a wide range of opportunities for studying land
processes through remotely sensed data. Land surface temperature calculation is possible with the aid of
remotely sensed images and digital image processing. In the present study, LST for Titlagarh
Municipality, Odisha, was obtained using the SW algorithm and Landsat 8 Optical Land Imager (OLI)
data with a resolution of 30 m and Thermal Infrared Sensor (TIR) data with a resolution of 100 m. The
LST has been computed using the Normalized Difference Vegetation Index (NDVI) values from the Red
and Near Infrared bands. The Land Surface Emissivity (LSE) is primarily obtained from the Thermal
Infrared bands. The research work focused on ArcGIS Raster processes and Raster analysis using
LANDSAT 8 December (2019) and May (2020) (thermal Bands (10 & 11). TIR bands 10 and 11 were used
to calculate the spectral radiance. Emissivity was calculated using the NDVI threshold technique and OLI
bands 2, 3, 4, and 5 were used for said proposes. The findings indicate that LST was high in the barren
regions but low in the hilly regions due to vegetative cover. The results show that it is possible to
determine NDVI, LSE, and LST with adequate precision
Urban Sprawl Analysis using Geospatial Approach-A Case Study of Paralakhemundi Municipality, Odisha, India
Urbanization is a dynamic set of process, responding to changing values and perceptions of intrinsic
characteristics of rural versus urban areas. It is not a single process, although all are interrelated. The
fundamental difference between urban and rural is that urban populations live in lager, denser and more
heterogeneous cities as oppose to small, more sparse and less differentiated rural places. However, it is
important to acknowledge that the criteria for defining what is urban may vary from place to place and
country to country. Urbanization is an index of transformation from traditional rural economies to
modern industrial one. It causes some changes in labor division and human behaviors. Urbanization is
defined as an increase in the number of towns & urban population. It is the process that leads to the
growth of towns due to industrialization & economic development Paralakhemundi is a small town
which is undeveloped facing so many problems like communication with other cities, drainage system,
water supply, improper town planning, current, roads etc.
Urbanization is a dynamic set of process, responding to changing values and perceptions of intrinsic
characteristics of rural versus urban areas. It is not a single process, although all are interrelated. The
fundamental difference between urban and rural is that urban populations live in lager, denser and more
heterogeneous cities as oppose to small, more sparse and less differentiated rural places. However, it is
important to acknowledge that the criteria for defining what is urban may vary from place to place and
country to country. Urbanization is an index of transformation from traditional rural economies to
modern industrial one. It causes some changes in labor division and human behaviors. Urbanization is
defined as an increase in the number of towns & urban population. It is the process that leads to the
growth of towns due to industrialization & economic development Paralakhemundi is a small town
which is undeveloped facing so many problems like communication with other cities, drainage system,
water supply, improper town planning, current, roads etc.
Disease mapping and health care system for the Tribal regions of the Gajapati and Rayagada district ,Odisha
concentrated on addressing the tribal area issues and associated diseases and also on information on the health problems of the tribal population in the districts of Gajapati and Rayagada of Odisha and to list out the most severe diseases that prevail in the study area. Also, efforts are made to discern the most prevalent diseases causing health impairment in the tribal population in the study area. The present study involves collection of data from different villages in the selected blocks of the Gajapati and Rayagada district in the state of Odisha. Data collection is done through a questionnaire.
Mapping of the pockets that are most vulnerable for the diseases and develop an information system for combating the diseases and providing proper health care is carried out during the study. Different thematic layers using GIS that enable identification of Pockets of diseases occurrence and methods of possible prevention are developed. An index for assessing the disease vulnerability at various locations in the study area is the highlight which has potential application for all tribal areas. These layer then integrated after computing the disease vulnerability index using the below given equation.
ð·ð‘‰ð¼= Σ[ð‘ƒð‘Š]ð‘–x[ð‘ƒð‘…]ð‘–ð‘›ð‘–=1
Where [ð‘ƒð‘Š]ð‘– = Weightage assigned to ith influencing parameter, [ð‘ƒð‘…]ð‘–= Rating of the ith influencing parameter in a particular village and n = total number of parameters.
The magnitude of DVI will reflect the relative vulnerability at a village and the values of DVI can be mapped for the selected block in the study area.
Summer school training-Geospatial Technology,Significance Applications and beyond its bey
Identification of hydrocarbon locales of an unexplored basin using space inputs and GIS
Identification of hydrocarbon locales of an unexplored basin using space inputs and GIS, Application No.612/KOL/2015 A, Publication Date: 05/06/2015, International classification: G01V9/00
A DISEASE VULNERABILITY AND COMBAT MAPPING MODEL FOR TRIBAL FORTIFICATION USING GEOSPATIAL
The present invention relates to the technical field of geospatial data processing, and more particularly, to a disease vulnerability and combat mapping model for tribal fortification using geospatial technology
A METHOD FOR STUDY RISK MITIGATION AND MANAGEMENT IN AGRICULTURAL PRACTICES AMONG FARMERS USING ICT
The present invention relates to the field of method of risk mitigation and
management and more particularly to a method for study the Influential behaviour and farmers’ intention for using ICT based techniques for risk mitigation and management in agricultural practices among the farmers in Odisha.