Geographic Information System for Natural Resource Management of Pakistan

2006 ◽  
Vol 23 ◽  
Author(s):  
Hammad Hassan Tariq ◽  
Zia Ul Hasan Shah ◽  
Ghulam Mujtaba ◽  
Shahina Tariq ◽  
Mohammad Zafar ◽  
...  
Keyword(s):  
Information System ◽  
Resource Management ◽  
Geographic Information System ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Geographic Information

scholarly journals Geographic Information System (GIS) for Natural Resources Management in Rural Areas:- A Case Study of Village Jeeda, Block Goniana, District Bathinda (Punjab)

2020 ◽  
Vol 5 (7) ◽  
pp. 40-43
Author(s):  
Charanjeet Singh ◽  
Hardeep Singh
Keyword(s):  
Information System ◽  
Resource Management ◽  
Geographic Information System ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Irrigation Water ◽  
Water Channels ◽  
Geographic Information ◽  
Google Earth ◽  
Wide Range

Geographic Information System is a computer based tool for marking specific Places on maps. It is a collection of map systems, geographic datum and human knowledge makes it possible to present the geography around us with the aid of digital technology. We have collected locations of Work Sites using Google Earth Android Application and Sharing Locations on WhatApp Messenger. We have selected Village Jeeda in District Bathinda(Punjab) for GIS planning of Works which are to be executed under Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS). Works related to Natural Resource Management such as Plantation, Renovation of Community Ponds, Maintenance of existing plantation, Irrigation Water Channels Maintenance etc. Block plantation, Ponds are marked with Polygons attributes and Line Plantation, Irrigation Water Channels are marked with paths attributes. GIS has a wide range of applications. It is equally important in Natural Resource Management. The GIS in Natural Resource Management is a resourceful technique in measuring natural resource assets.

scholarly journals Privacy-Aware Visualization of Volunteered Geographic Information (VGI) to Analyze Spatial Activity: A Benchmark Implementation

2020 ◽  
Vol 9 (10) ◽  
pp. 607 ◽  
Author(s):  
Alexander Dunkel ◽  
Marc Löchner ◽  
Dirk Burghardt
Keyword(s):  
Resource Management ◽  
Natural Resource Management ◽  
Natural Resource ◽  
Volunteered Geographic Information ◽  
Well Being ◽  
Geographic Information ◽  
User Privacy ◽  
Creative Commons ◽  
Surrounding Environment ◽  
Privacy Risks

Through volunteering data, people can help assess information on various aspects of their surrounding environment. Particularly in natural resource management, Volunteered Geographic Information (VGI) is increasingly recognized as a significant resource, for example, supporting visitation pattern analysis to evaluate collective values and improve natural well-being. In recent years, however, user privacy has become an increasingly important consideration. Potential conflicts often emerge from the fact that VGI can be re-used in contexts not originally considered by volunteers. Addressing these privacy conflicts is particularly problematic in natural resource management, where visualizations are often explorative, with multifaceted and sometimes initially unknown sets of analysis outcomes. In this paper, we present an integrated and component-based approach to privacy-aware visualization of VGI, specifically suited for application to natural resource management. As a key component, HyperLogLog (HLL)—a data abstraction format—is used to allow estimation of results, instead of more accurate measurements. While HLL alone cannot preserve privacy, it can be combined with existing approaches to improve privacy while, at the same time, maintaining some flexibility of analysis. Together, these components make it possible to gradually reduce privacy risks for volunteers at various steps of the analytical process. A specific use case demonstration is provided, based on a global, publicly-available dataset that contains 100 million photos shared by 581,099 users under Creative Commons licenses. Both the data processing pipeline and resulting dataset are made available, allowing transparent benchmarking of the privacy–utility tradeoffs.

scholarly journals AQUATIC RESOURCE CHARACTERIZATION OF THE UPPER OHIO RIVER BASIN USING A GEOGRAPHIC INFORMATION SYSTEM

1995 ◽  
Vol 1995 (1) ◽  
pp. 381-386
Author(s):  
John Arway ◽  
Douglas Nieman ◽  
Thomas Proch ◽  
Jerry Shulte
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Natural Resource ◽  
Aquatic Habitat ◽  
Geographic Information ◽  
Ohio River ◽  
Habitat Types ◽  
Cross Sectional ◽  
Aquatic Resources ◽  
Aquatic Resource

ABSTRACT The Commonwealth of Pennsylvania successfully negotiated a $1.75 million settlement with Ashland Oil Company for injuries to aquatic resources and recreational users resulting from the January 1988 oil spill into the lower Monongahela and upper Ohio Rivers. The commonwealth's natural resource trustee agencies reserved these funds for special studies to learn more about the aquatic resources of the impacted rivers. A project team including commonwealth agencies, consulting experts, and the Ohio River Valley Water Sanitation Commission agreed to use the framework of a geographic information system (GIS) to organize geo-referenced natural resource data spatially. This paper discusses the development of a GIS base map of a river system modified by a series of navigation dams and outlines the ecological basis of the aquatic habitat classification system. This system divides individual navigation pools into component parts along longitudinal, cross-sectional, and vertical axes. These components are then combined to delimit aquatic areas and habitat conditions to define aquatic habitat types. These habitat types will serve as the basis for making an inventory of environmentally sensitive areas; and the completed GIS will have coverages of infrastructural, monitoring/regulatory, recreational, and environmental themes. The GIS will be used by Pennsylvania agencies in the management and protection of the natural resources supported by the Ohio River and its tributaries.

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