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Titlebook: Geospatial Technology for Landscape and Environmental Management; Sustainable Assessme Praveen Kumar Rai,Varun Narayan Mishra,Prafull Sin B

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Prioritization and Quantitative Assessment of Dhundsir Gad Using RS and GIS: Implications for Wateried reveal the role of hydrology in association with lithology and structure in modifying the watershed and loss of natural resources. The prioritization of the subwatershed has been done after evaluating and ranking morphometric parameters. The subwatersheds have been given priority from low to hig
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Morphometric Analysis of Damodar River Sub-watershed, Jharkhand, India, Using Remote Sensing and GIck of structural control. The study area is designated as the fifth-order basin with a drainage density (.) value ranges 9.91 km/km.. An extensive field survey supports the results. Results of the study have immense significance for engineers, managers, and planners for management of soil, water and
发表于 2025-3-24 01:16:20 | 显示全部楼层
The Increasing Inevitability of IoT in Remote Disaster Monitoring Applications,ion which has the responsibility of reporting the data ahead of the network, for initiating actuation on the basis of the data gathered and analyzing the data. This can help in monitoring for the purpose of early warning of disasters. The actuations can help provide immediate incidence response. Fur
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,Slum Categorization for Efficient Development Plan—A Case Study of Udhampur City, Jammu and Kashmirrepared. A georeferenced very high-resolution satellite imagery with a ward boundary map was used to create a base map. Different maps were generated showing current slum distribution and also the spatial distribution of varying slum categories. Maps were validated with field survey and with field p
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,Urban Growth Trend Analysis Using Shannon Entropy Approach—A Case Study of Dehradun City of Uttaraklue obtained for the year 2008 is 0.877 and 2016 is 1.598, in which the value of 2016 is near to the value of upper limit of log n (i.e. 1.591) which depicts more urban sprawl in 2016 than in 2008. The present study effectively uses Landsat TM data of year 2008 and 2016. Urbanization have different
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Assessing the Impact of Delhi Metro Network Towards Urbanisation of Delhi-NCR,social scenario, as it has a massive network of nearly 288 km length comprising of six different lines. The people from different parts are commuting daily via the metro network. In conclusion, it proposes to identify the push and pull to further analyse the urbanisation pattern due to the expansion
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