Urban agglomeration is an expansion of city center with its adjoining outgrowth or suburbs. Urban... more Urban agglomeration is an expansion of city center with its adjoining outgrowth or suburbs. Urban agglomeration is a recent phenomenon in Indian society, which do not accommodate the haphazard growth of human settlements. The main objective of this study was to identify the recent urban changes in Bhubaneswar and its periphery. Bhubaneswar is the capital of Odisha and it was planned in the year 1948. The city could not grow in the envisaged manner as it is surrounded by the Chandaka Wildlife sanctuary in the northwest section and by flood plains on the eastern side. The present study examines the use of Index Based Model for delineation of the urban sprawl of Bhubaneswar city. Index-based built-up index (IBI), is a normalized difference index used for the extraction of built-up land features. The above-mentioned model can be efficiently used by taking three known indices viz. NDBI, SAVI & MNDWI. Satellite imageries of IRS-P6 and Landsat 7 (ETM+) & 8 (OLI) has been used in the study with the efficient use of ArcGIS. The study manifest that, there has decreased in the area under vegetation cover and the increase in the settlements and crop land. It has been found from the study that Index-based Built-up Index (IBI) is a good method to determine the dispersion of built-up land feature in the city, within the slight limitation of the model. The urban development of Bhubaneswar is going in an unplanned manner which have an adverse effect on both human and natural resources. The results of this work conclude that Remote Sensing and GIS techniques can be methodical used in the study of urban agglomeration and its adjoining urban areas.
Rapid development along with demographic change is the most direct influencing factors on urbaniz... more Rapid development along with demographic change is the most direct influencing factors on urbanization and urban change. Urbanization further cause land use and land cover change in any area. Indian cities have not been able to cope with the pressure of industrial development resulting inadequate urban infrastructure. City planning is becoming an important concern to modern India. The integration of Geographical Information System and Remote Sensing acts as an effective tool for estimating urban growth and modeling in the recent years. The objective of this study is to identify and analyse the urban growth of Indore, the commercial capital of Madhya Pradesh state of India. Study area is situated on the western section of Malwa plateau, on the banks of the Khan River and Saraswati River. Latest boundary of the city, demarcated by Municipal Corporation of Indore has been used as base boundary for this study, which includes all extended and substantial parts of the city and nearby towns. Built-up area is marked by using the base boundary on satellite imagery of two different time periods. Index-based Built-up Index (IBI), is a normalized difference index, has been used for the extraction of builtup land features with efficient use of ArcGIS software. Pan sharpened satellite imagery of Landsat ETM+ and Landsat OLI_TIRS sensor has been used for the model. Preprocessing of satellite imagery has been done to obtain high quality information from remote sensors. Additionally, high resolution imagery has been used for the further assessment of urban growth. The study demonstrate that Indore had sprawled urban growth during the period 2005 to 2014. It has been found from the study that Index-based Built-up Index (IBI) is a good method to determine the dispersion of built-up land features in the city, within the slight limitation of model. The results of the present work conclude that Remote Sensing and GIS techniques can be efficiently used in estimation and analysing the urban growth trends with respect to the adjoining urban areas.
Keywords: Urban Growth in Indore, Index-based Built-up
Index, ArcGIS, Remote Sensing & GIS.
Urban planning, with special attention to green space development, offers a relatively simple and... more Urban planning, with special attention to green space development, offers a relatively simple and low-cost solution to the impacts of climate change and urbanization faced by urban centres. The present work examines the spatial variability of availability of adequate sites for the development of urban green amenities in Noida city. Multi-criteria assessment of potential locations has been accomplished using Analytical Hierarchical Process coupled with geospatial technology. Urban land use, physiographic factors (slope and elevation), accessibility (proximity to roads), and presence of grey, green and blue amenities (Normalised Difference Built-up Index, Normalised Difference Vegetation Index and proximity to water bodies, respectively) are the seven key criteria used to derive the final green space suitability map. A total of 46.47 % of the land was found to be in the category of highly and moderately suitable for greening the city, highlighting the potential of developing different...
Salt accumulation within the soil is one of the subtle ecological issues around the world. An int... more Salt accumulation within the soil is one of the subtle ecological issues around the world. An integrated of remote sensing with different statistical techniques has indicated accomplishment for creating soil quality forecasting models. The objective of this research was to unveil the degree and location of the salt affected soils as it has a severe effect on the agricultural crop yield of the Gautam Buddha Nagar (GBN) district. To assess spatial variation of the salt-affected soil a simulation model integrating satellite observation data, artificial neural network (ANN) and multiple linear regression (MLR) was used. The statistical correlation amongst ground-truth data and Landsat original bands and band ratios showed that all the bands and ratios showed a non-significant correlation with SAR. While four optical bands and eleven band ratios showed high correlation with all the soil quality parameters. Combining all the remotely sensed variables into models resulted in the finest fit...
Water Resources in Arid Areas: The Way Forward, 2017
Reckoning precipitation by means of customary methods has many breaks and various slips due to ma... more Reckoning precipitation by means of customary methods has many breaks and various slips due to manual noticing which is the most unintended aspects for precipitation analysis. These errors in records rises the inconsistency and grounds uncertainty while using it in simulation modeling, sediment modeling and other such type of works. TMPA 3B42, a research product of the world’s foremost satellite in precipitation study is used in this work for rainfall variability analysis with good accuracy level. The integration of GIS and Remote Sensing acts as an operative tool for extracting and analyzing this precipitation product with spatially interpolating it over region. The objective of this work is to analyze the variability in rainfall over Shipra catchment between 1998 and 2012, and extraction of precipitation data from network common form data files. The study proves that the catchment has an exceedingly variable drift of rainfall in downstream portion. Also, the work results that there is high inconsistency in the year 2008 with fall in rainfall all over the catchment while precipitation was found very less in 2000 and high in 2006 followed by the year 2011. This work also states that downstream portion of the study area leftovers in dearth rainfall condition most of the time but with a tad high runoff affecting the groundwater state in the area. Precipitation shortfall, diminishing water controlling structures and increasing land use is disturbing the water availability in the region.
Urban green spaces, particularly trees, have great potential to sequester carbon from the atmosph... more Urban green spaces, particularly trees, have great potential to sequester carbon from the atmosphere and mitigate the impacts of climate change in cities. Large university campuses offer prominent space where such green spaces can be developed in order to offset the increasing greenhouse gas emissions, as well as other benefits. Amity University, Noida, is spread over 60 acres with dense tree plantations in and around the campus. The present study is a sustainability initiative to inventory the tree species on the campus and assess their total carbon sequestration potential (CSP). The above- and below-ground biomasses were estimated using the non-destructive sampling method. Individual trees on the campus were measured for their height and diameter at breast height (DBH), and estimates of carbon storage were performed using allometric equations. There is a total of 45 different tree species on the campus with the total CSP equivalent to approximately 139.86 tons. The results also re...
Wetlands are extremely important areas throughout the world for wildlife protection, recreation, ... more Wetlands are extremely important areas throughout the world for wildlife protection, recreation, sediment control and flood prevention. Wetlands are important bird’s habitats and birds use them for feeding, roosting, nesting and rearing their young. In Surajpur Wetland are mainly used for agriculture, fisheries, reclamation for harboring and irrigation purposes. In this paper an attempt is made to study the changes in land use and land cover in Surajpur wetland area over 11 years’ period (2003-2014). LULC is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to be able to simulate changes. The land cover mapping of study area was attempted using remotely sensed images of Landsat and Google Earth imagery. The study area was classified into five categories on the basis of field study, geographical conditions, and remote sensing data. LULC changes have been detected by image processing method in EDRAS imagine 2014 and ArcGIS 10.3. The eleven years’ time period of 2003-2014 shows the major type of land use change. Vegetation area that occupied about around 60 per cent of the Surajpur wetland area in 2003 has decreased to 34.25 percent in 2014. Wetland is increased 8.17 percent and Urban area, Fallow land and Water body also have experienced change. Finally, through the work it is recommended that the wetlands need detail mapping through the use of advance remote sensing techniques like microwave and LIDAR for restoration and management of wetland.
Urban agglomeration is an expansion of city center with its adjoining outgrowth or suburbs. Urban... more Urban agglomeration is an expansion of city center with its adjoining outgrowth or suburbs. Urban agglomeration is a recent phenomenon in Indian society, which do not accommodate the haphazard growth of human settlements. The main objective of this study was to identify the recent urban changes in Bhubaneswar and its periphery. Bhubaneswar is the capital of Odisha and it was planned in the year 1948. The city could not grow in the envisaged manner as it is surrounded by the Chandaka Wildlife sanctuary in the northwest section and by flood plains on the eastern side. The present study examines the use of Index Based Model for delineation of the urban sprawl of Bhubaneswar city. Index-based built-up index (IBI), is a normalized difference index used for the extraction of built-up land features. The above-mentioned model can be efficiently used by taking three known indices viz. NDBI, SAVI & MNDWI. Satellite imageries of IRS-P6 and Landsat 7 (ETM+) & 8 (OLI) has been used in the study with the efficient use of ArcGIS. The study manifest that, there has decreased in the area under vegetation cover and the increase in the settlements and crop land. It has been found from the study that Index-based Built-up Index (IBI) is a good method to determine the dispersion of built-up land feature in the city, within the slight limitation of the model. The urban development of Bhubaneswar is going in an unplanned manner which have an adverse effect on both human and natural resources. The results of this work conclude that Remote Sensing and GIS techniques can be methodical used in the study of urban agglomeration and its adjoining urban areas.
Rapid development along with demographic change is the most direct influencing factors on urbaniz... more Rapid development along with demographic change is the most direct influencing factors on urbanization and urban change. Urbanization further cause land use and land cover change in any area. Indian cities have not been able to cope with the pressure of industrial development resulting inadequate urban infrastructure. City planning is becoming an important concern to modern India. The integration of Geographical Information System and Remote Sensing acts as an effective tool for estimating urban growth and modeling in the recent years. The objective of this study is to identify and analyse the urban growth of Indore, the commercial capital of Madhya Pradesh state of India. Study area is situated on the western section of Malwa plateau, on the banks of the Khan River and Saraswati River. Latest boundary of the city, demarcated by Municipal Corporation of Indore has been used as base boundary for this study, which includes all extended and substantial parts of the city and nearby towns. Built-up area is marked by using the base boundary on satellite imagery of two different time periods. Index-based Built-up Index (IBI), is a normalized difference index, has been used for the extraction of builtup land features with efficient use of ArcGIS software. Pan sharpened satellite imagery of Landsat ETM+ and Landsat OLI_TIRS sensor has been used for the model. Preprocessing of satellite imagery has been done to obtain high quality information from remote sensors. Additionally, high resolution imagery has been used for the further assessment of urban growth. The study demonstrate that Indore had sprawled urban growth during the period 2005 to 2014. It has been found from the study that Index-based Built-up Index (IBI) is a good method to determine the dispersion of built-up land features in the city, within the slight limitation of model. The results of the present work conclude that Remote Sensing and GIS techniques can be efficiently used in estimation and analysing the urban growth trends with respect to the adjoining urban areas.
Keywords: Urban Growth in Indore, Index-based Built-up
Index, ArcGIS, Remote Sensing & GIS.
Urban planning, with special attention to green space development, offers a relatively simple and... more Urban planning, with special attention to green space development, offers a relatively simple and low-cost solution to the impacts of climate change and urbanization faced by urban centres. The present work examines the spatial variability of availability of adequate sites for the development of urban green amenities in Noida city. Multi-criteria assessment of potential locations has been accomplished using Analytical Hierarchical Process coupled with geospatial technology. Urban land use, physiographic factors (slope and elevation), accessibility (proximity to roads), and presence of grey, green and blue amenities (Normalised Difference Built-up Index, Normalised Difference Vegetation Index and proximity to water bodies, respectively) are the seven key criteria used to derive the final green space suitability map. A total of 46.47 % of the land was found to be in the category of highly and moderately suitable for greening the city, highlighting the potential of developing different...
Salt accumulation within the soil is one of the subtle ecological issues around the world. An int... more Salt accumulation within the soil is one of the subtle ecological issues around the world. An integrated of remote sensing with different statistical techniques has indicated accomplishment for creating soil quality forecasting models. The objective of this research was to unveil the degree and location of the salt affected soils as it has a severe effect on the agricultural crop yield of the Gautam Buddha Nagar (GBN) district. To assess spatial variation of the salt-affected soil a simulation model integrating satellite observation data, artificial neural network (ANN) and multiple linear regression (MLR) was used. The statistical correlation amongst ground-truth data and Landsat original bands and band ratios showed that all the bands and ratios showed a non-significant correlation with SAR. While four optical bands and eleven band ratios showed high correlation with all the soil quality parameters. Combining all the remotely sensed variables into models resulted in the finest fit...
Water Resources in Arid Areas: The Way Forward, 2017
Reckoning precipitation by means of customary methods has many breaks and various slips due to ma... more Reckoning precipitation by means of customary methods has many breaks and various slips due to manual noticing which is the most unintended aspects for precipitation analysis. These errors in records rises the inconsistency and grounds uncertainty while using it in simulation modeling, sediment modeling and other such type of works. TMPA 3B42, a research product of the world’s foremost satellite in precipitation study is used in this work for rainfall variability analysis with good accuracy level. The integration of GIS and Remote Sensing acts as an operative tool for extracting and analyzing this precipitation product with spatially interpolating it over region. The objective of this work is to analyze the variability in rainfall over Shipra catchment between 1998 and 2012, and extraction of precipitation data from network common form data files. The study proves that the catchment has an exceedingly variable drift of rainfall in downstream portion. Also, the work results that there is high inconsistency in the year 2008 with fall in rainfall all over the catchment while precipitation was found very less in 2000 and high in 2006 followed by the year 2011. This work also states that downstream portion of the study area leftovers in dearth rainfall condition most of the time but with a tad high runoff affecting the groundwater state in the area. Precipitation shortfall, diminishing water controlling structures and increasing land use is disturbing the water availability in the region.
Urban green spaces, particularly trees, have great potential to sequester carbon from the atmosph... more Urban green spaces, particularly trees, have great potential to sequester carbon from the atmosphere and mitigate the impacts of climate change in cities. Large university campuses offer prominent space where such green spaces can be developed in order to offset the increasing greenhouse gas emissions, as well as other benefits. Amity University, Noida, is spread over 60 acres with dense tree plantations in and around the campus. The present study is a sustainability initiative to inventory the tree species on the campus and assess their total carbon sequestration potential (CSP). The above- and below-ground biomasses were estimated using the non-destructive sampling method. Individual trees on the campus were measured for their height and diameter at breast height (DBH), and estimates of carbon storage were performed using allometric equations. There is a total of 45 different tree species on the campus with the total CSP equivalent to approximately 139.86 tons. The results also re...
Wetlands are extremely important areas throughout the world for wildlife protection, recreation, ... more Wetlands are extremely important areas throughout the world for wildlife protection, recreation, sediment control and flood prevention. Wetlands are important bird’s habitats and birds use them for feeding, roosting, nesting and rearing their young. In Surajpur Wetland are mainly used for agriculture, fisheries, reclamation for harboring and irrigation purposes. In this paper an attempt is made to study the changes in land use and land cover in Surajpur wetland area over 11 years’ period (2003-2014). LULC is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to be able to simulate changes. The land cover mapping of study area was attempted using remotely sensed images of Landsat and Google Earth imagery. The study area was classified into five categories on the basis of field study, geographical conditions, and remote sensing data. LULC changes have been detected by image processing method in EDRAS imagine 2014 and ArcGIS 10.3. The eleven years’ time period of 2003-2014 shows the major type of land use change. Vegetation area that occupied about around 60 per cent of the Surajpur wetland area in 2003 has decreased to 34.25 percent in 2014. Wetland is increased 8.17 percent and Urban area, Fallow land and Water body also have experienced change. Finally, through the work it is recommended that the wetlands need detail mapping through the use of advance remote sensing techniques like microwave and LIDAR for restoration and management of wetland.
Uploads
Conference
Keywords: Urban Growth in Indore, Index-based Built-up
Index, ArcGIS, Remote Sensing & GIS.
Papers
Keywords: Urban Growth in Indore, Index-based Built-up
Index, ArcGIS, Remote Sensing & GIS.