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Cuddalore coastal zone is located along the southeast coast of India, Tamil Nadu. This
coastal zone is suffering from many natural catastrophes such as storms, cyclones, floods,
tsunami and erosion. The study area is seriously affected by 2004 Tsunami and during
2008 Nisha cyclone. The present study aims to study the land use/cover changes through...
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... is the other major seasonal river, which drains the major portion in the southern part of the district. Manimuktha, Gomukhi and Mayura are the major tributaries which join the Vellar river shown in the ( Figure 2) Generally, for agricultural purpose maximum amount of available water resources are utilized through minor irrigation schemes. The surface flow in the rivers can be observed only during monsoon periods. ...
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Aims(1) to compare two series of precipitation data from different periods (1930–1950 and 1950–2000) in three sectors of the southern dry Chaco in the arid and semi-arid sub-regions; (2) construct maps showing the distribution of land-cover units for 1979, 1999, 2004 and 2010 for the same three sectors; and (3) assess the changes in land-cover unit...
We present a method for determining 3-dimensional, local ground displacements caused by an earthquake. The technique requires pre- and post-earthquake point cloud datasets, such as those collected using airborne Light Detection and Ranging (Lidar). This problem is formulated as a point cloud registration problem in which the full point cloud is div...
Citations
... The visible natural layer that blankets the earth's surface is commonly known as land cover, while "land usage" signi es how this natural covering is practically employed (Naikoo et al., 2020). Typically, the way people use the land emerges from the interplay of a society's cultural background, its preferences, and the inherent capabilities of the land itself (Muthusamy et al., 2010;Rawat et al., 2013). Throughout the time, people have sculpted the land's countenance to mirror social, economic, and natural dynamics, engendering swift metamorphoses in land usage and land cover owing to an array of socio-economic activities and natural forces (Das & Sarkar, 2019;Fasona et al., 2022). ...
... In light of this, optimizing land use becomes a pivotal conduit for enhancing economic resilience without exacerbating ecological strain (Muthusamy et al., 2010;Rawat et al., 2013). Crucially, comprehending the repercussions of human interventions upon the natural milieu lays the foundation for effective management strategies (Patel & Tripathi, 2016;Prakasam, 2010). ...
... Employing remotely sensed data expedites a cost-effective and precise exploration of land cover changes, circumventing temporal and spectral complexities (Muthusamy et al., 2010;Rawat et al., 2013). Beyond e ciency gains and precision, the digital demarcation of changes, fueled by multi-temporal and multispectral technologies, emerges as a robust tool for decoding landscape dynamics, permitting the delineation, cartography, and tracking of land use/cover evolution, regardless of causative factors (Rawat et al., 2013). ...
Land use and land cover (LULC) change is a multifaceted and dynamic process influenced by factors like population growth, economic development, and climate shifts. This study delves into the LULC changes spanning 1991 to 2021 in Berhampore, a district headquarters in Murshidabad, West Bengal, India. Notable findings include an expansion of built-up land from 5.25–9.30%, a reduction in agricultural land from 81.98–72.36%, and an increase in plantation or forest land from 8.45–13.23%. The change transition matrix highlights significant shifts, notably the transformation of agricultural land into built-up areas (15.92 km²) and conversion to plantation or forest land (25.96 km²) and water bodies (5.54 km²). A chord diagram visually represents the transition matrix's outcomes. Utilizing the Future Land Use Simulation (FLUS) model, the study forecasts Berhampore's LULC for 2031. Forecasts indicate an ongoing increase in built-up land and a decrease in agricultural land. Concurrently, the area of plantation or forest land is projected to expand. Employing remote sensing and GIS techniques, the research tracks LULC changes and engages in a focus group discussion with local stakeholders. Findings underscore the intricate interplay between LULC, urbanization, and environmental dynamics. The study underscores the urgency of sustainable city planning, resource management, and community involvement to manage these transformations while preserving community well-being and ecological equilibrium. As cities expand and populations grow, this research highlights the imperative to balance development with environmental preservation for the greater benefit of society and nature.
... The region has two major ports, two minor ports, fishing harbors, and a host of coastal industries such as nuclear and thermal power plants, refineries, fertilizer plants. Increasing population and industrialization along the coastal areas of Cuddalore and Pondicherry are adding pressure on the coastal ecosystems (Muthusamy et al. 2010). Chennai is one of the most industrialized a n d e c o n o m i c a l l y d e v e l o p e d c i t i e s i n I n d i a . ...
The study on land use and land cover (LULC) changes assists in analyzing the change and regulates environment sustainability. Hence, this research analyzes the Northern TN coast, which is under both natural and anthropogenic stress. The analysis of LULC changes and LULC projections for the region between 2009–2019 and 2019–2030 was performed utilizing Google Earth Engine (GEE), TerrSet, and Geographical Information System (GIS) tools. LULC image is generated from Landsat images and classified in GEE using Random Forest (RF). LULC maps were then framed with the CA-Markov model to forecast future LULC change. It was carried out in four steps: (1) change analysis, (2) transition potential, (3) change prediction, and (4) model validation. For analyzing change statistics, the study region is divided into zone 1 and zone 2. In both zones, the water body shows a decreasing trend, and built-up areas are in increasing trend. Barren land and vegetation classes are found to be under stress, developing into built-up. The overall accuracy was above 89%, and the kappa coefficient was above 87% for all 3 years. This study can provide suggestions and a basis for urban development planning as it is highly susceptible to coastal flooding.
... They do not generate their own radiation but depends on natural light and thermal radiation from the earth surface, most of these sensors depends on a scanner for imaging such as Landsat (Seos-project.eu). These sensors were equipped with spectrometers with which they measure signals at several spectral bands simultaneously, resulting in multispectral images that allow numerous interpretations (Albertz et al., 2007;Muthusamy, 2010). The active sensor has the capacity to generate its own power without depending on the solar radiation which makes this sensor active to acquire information both during the day and at night. ...
... The environmental factors such as soil characteristics, climate, topography, and vegetation (Muthusamy et al., 2010) are factoring the land use. A modern nation, as a modern business, must have adequate information on many complex interrelated aspects of its activities in order to make decisions. ...
Cites are the attraction for the growth of the social, economic, and political development of the country. It has a power for the development of large-scale and small-scale industries, educational institutions, administrative offices, public and commercial establishments, etc. In turn it attracts more migration from the rural area to the urban area or shifting from one urban center to another urban center. Hence the population density is getting magnified in certain pockets of the cities. As a result there would be a drastic conversion and modification in usage of land. Therefore, there should be a definite analysis and various assessments are required for such a development and also to preserve the city environment including preparation for future disasters. South Chennai is a part of Chennai City, which is the capital of Tamil Nadu and one of the four major metropolitan cities in India, located in the southeastern India. The average population growth rate of the Chennai Metropolitan Area (CMA) is 21 % per decade that recurrently reduces the green-covered area. Exceptionally, during the post-economic liberalization period, i.e., between the years 1997 and 2007, most of the agricultural lands and other natural land covers are being converted to developmental activities such as industrial including information technology and information technology-enabled services (IT and ITES) sectors. Also the CMA has become a major hub for higher education and specialized health-care facilities, inviting increasing population both from various parts of the country and abroad. During the last 2004 Indian Ocean tsunami and the subsequent cyclones, the study area has witnessed with devastation in terms of life loss, infrastructure, and environmental quality. Therefore, it is essential to assess the land use/land cover changes and its associated environmental parameters using technology tools like remote sensing data and GIS. Land use/cover information are derived from PAN plus LISS data of IRS 1C and IRS 1D for the pre- and post-2004 Indian Ocean tsunami years, i.e., 1990, 1998, and 2005, in order to demarcate vulnerable sites and to focus on our future disaster risk reduction (DRR) activities.
... Landsat data are implemented in GIS and used for land use and land cover change detection in coastal areas, they can also be used in modeling of long term changes [8,9,10]. Nowadays Geographical Information Systems (GIS) can provide a suitable platform for data processing, analysis, update and retrieval. ...
Coastal area monitoring is a significant task in the national development and environmental protection. Study area of this work is the Baltic Sea Region, particularly focusing on the land cover changes in the coastal area from Cape Kolka to the Latvian-Lithuanian border. The aim of this research is to estimate and illustrate different examples of monitoring and mapping land cover changes in the coastal area using remotely sensed data - orthophoto, multispectral data and radar data. The results of the research include vector maps created from satellite images and comparison between different land cover value identification methods.
Land use and land cover (LULC) change is a multifaceted and dynamic process influenced by factors like population growth, economic development, and climate shifts. This study delves into the LULC changes spanning 1991–2021 in Berhampore, a district headquarters in Murshidabad, West Bengal, India. Notable findings include expanding built-up land from 5.25 to 9.30%, reducing agricultural land from 81.98 to 72.36%, and increasing plantation or forest land from 8.45 to 13.23%. The change transition matrix highlights significant shifts, notably the transformation of agricultural land into built-up areas (15.92 km2) and conversion to plantation or forest land (25.96 km2) and water bodies (5.54 km2). A chord diagram visually represents the transition matrix’s outcomes. Utilising the future land use simulation (FLUS) model, the study forecasts Berhampore’s LULC for 2031. Forecasts indicate an ongoing increase in built-up land and a decrease in agricultural land. Concurrently, the area of plantation or forest land is projected to expand. Employing remote sensing and GIS techniques, the research tracks LULC changes and engages in a focus group discussion with local stakeholders. Findings underscore the intricate interplay between LULC, urbanisation, and environmental dynamics. The study underscores the urgency of sustainable city planning, resource management, and community involvement to manage these transformations while preserving community well-being and ecological equilibrium. As cities expand and populations grow, this research highlights the imperative to balance development with environmental preservation for the more significant benefit of society and nature.
This study is an attempt to analyze the urban growth patterns using Shannon's entropy in Roorkee, Uttarakhand, a growing urban agglomerate in India due to its locational and functional attribute. It has three major national highways that connect to Delhi, Dehradun, and Haridwar. This study utilizes the integration of the Remote sensing data and Arc GIS to perform a preliminary identification and mapping of the change detection using the classified data and important driving factors of growth in the city. These factors need to be calibrated using quantifiable indices-like Shannon's entropy which can evaluate the simulated growth pattern in terms of the degree of dispersion and concentration of built-up areas in the different zones around the major driving factors. This index helps in establishing the likely patterns of growth based on the index values obtained. The results and conclusions can serve as a planning paradigm for any further smart and sustainable development in the city.
This study is an attempt to investigate the diversity of edible Termitomyses species from Kottayam district. Termitomyses are Termitophilic fungi; monophyletic group of gilled mushrooms belonging to the genus Termitomyces. Termitomyces are cultivated through transport of spores by eusocial insects (termites) belonging to the subfamily Macrotermitinae (Isoptera) using plant material passing through their guts. An extensive exploration carried out during May 2012 to October 2015 at a different geographical location of Kottayam District, Kerala. Traditional knowledge of Termitomyces has been documented based on the experience of local population. Fruiting bodies were sampled and photographed at different stages of their development in the field and samples were examined for macro and microscopic characteristics. Termitomyses were identified based on keys and description of Pegler (1994). Five different species of Termitomyces namely T. microcarpus (large and small form) T. clypatus, T. globulus, T. eurhizus, and T. heimii were identified. The ecological significance of Termites and Termitomyces in Kottayam district of Kerala and its role as a food for local communities have been discussed. Though termitomycetes are largely uncultivable, strategies were recommended for conservation of their habitat and sustainable harvesting of this human nutritional source as an alternative to plant and animal derived food.
The study aims to affect of land use and land cover changes is the quantitative method to expound the impact of land use and land cover in Girudhumal river sub basin, Tamilnadu, India over twenty years period(1990 to 2010). The study has been done through Remote Sensing approach using Survey of India(1982) toposheet and Land sat imageries of May 1990, June 2000 and May 2010 MSS. Land use changes have been detected by image processing method in ERDAS imagine 8.5 and Arc GIS 9.3. Thirteen land use classes have been identified and Ground truth observation was also performed to check the accuracy of the classification. The present study has brought to light that the agricultural land that occupied about 29.86% of basin area in 1990 and was decreased to 18.13% of basin area in 2010 and settlement increased 9.8% of total area of basin in 2010. This paper highlights the land use/land cover types, the change over the years and the causes for the change. The importance of remote sensing and GIS technique in mapping and change detection was also highlighted.
Landuse is clearly constrained by environmental constituents such as soil characteristics, climate, topography, and flora. But it also reflects the importance of land as a key and finite resource for most human activities including farming, industry, forestry, energy production, settlement, recreation, water catchments and storage. Soil is an essential agent of production, and through much of the course of human history, it has been tightly coupled with economic development. The base map of Namakkal Taluk has been created using Survey of India toposheet for the year 1988. The current land use map 2012 was prepared by using ASTER Satellite imagery in open source software environment. The land use changes were anticipated by using image processing and geoprocessing. The answers suggest that severe land cover changes have occurred in agricultural, urban, water bodies and forested areas in the neighborhood between 1988 and 2011.It was discovered that the land use changes were generally taken place in urban arenas.
