215,290 research outputs found

    Seafloor characterization using airborne hyperspectral co-registration procedures independent from attitude and positioning sensors

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    The advance of remote-sensing technology and data-storage capabilities has progressed in the last decade to commercial multi-sensor data collection. There is a constant need to characterize, quantify and monitor the coastal areas for habitat research and coastal management. In this paper, we present work on seafloor characterization that uses hyperspectral imagery (HSI). The HSI data allows the operator to extend seafloor characterization from multibeam backscatter towards land and thus creates a seamless ocean-to-land characterization of the littoral zone

    Transboundary threats in the Mekong basin: protecting a crucial fishery

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    This repository item contains a single issue of Issues in Brief, a series of policy briefs that began publishing in 2008 by the Boston University Frederick S. Pardee Center for the Study of the Longer-Range Future.In this Issues in Brief, Pardee Center Visiting Research Fellow Irit Altman looks at the impacts that dams in the upper Mekong River basin have on the critically important fishery in Cambodia’s Tonle Sap, the largest freshwater lake in Southeast Asia. Altman explores how development of dams, in combination with a failure of regional governance, has threatened the ecological sustainability of the lake and its watershed, and the livelihoods of people in the region. She identifies strategies to enhance the resilience of the Tonle Sap fishery and improve the lives of people who are connected to this unique ecosystem. Irit Altman is a Pardee Center Visiting Research Fellow and Research Assistant Professor of Biology at Boston University. A marine and freshwater ecologist, she works with an interdisciplinary research team to develop ecosystem models that integrate scientific knowledge and inform decision-making. She has extensive experience working with field experts and decision makers in Cambodia to understand system change and explore sustainability options in the Tonle Sap ecosystem

    Environmental Response Management Application

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    The Coastal Response Research Center (CRRC), a partnership between the University of New Hampshire (UNH) and NOAA\u27s Office of Response and Restoration (ORR), is leading an effort to develop a data platform capable of interfacing both static and real-time data sets accessible simultaneously to a command post and assets in the field with an open source internet mapping server. The Environmental Response Management Application (ERMA™) is designed to give responders and decision makers ready access to geographically specific data useful during spill planning/drills, incident response, damage assessment and site restoration. In addition to oil spill and chemical release response, this website can be relevant to other environmental incidents and natural disasters, responses and regional planning efforts. The platform is easy to operate, without the assistance of Information Technology or Geographic Information Systems (GIS) specialists. It allows users to access individual data layer values, overlay relevant data sets, and zoom into segments of interest. The platform prototype is being developed specifically for Portsmouth Harbor and the Great Bay Estuary, NH. The prototype demonstrates the capabilities of an integrated data management platform and serves as the pilot for web-based GIS platforms in other regions

    Development Of Planning Support System For Urban Rehabilitation And Reconstruction In Case Sidoarjo Mud Flow Post Disaster

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    Sidoarjo mud disaster impact that has lasted more than 3 years are very influential on other aspects of life in Porong and surrounding areas. The need for information systems that can inform the public about the catastrophic conditions is absolutely necessary. In previous research has established a disaster management information system that is treated with the approach to Geographic Information Systems (GIS) consisting of the phases of mitigation, evacuation and warning his own. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. Mitigation system that was built covering the field of catastrophe risk modeling using network analysis, mapping mudguard embankment area, information about alternative routes and other public facilities information. Evacuation system provides information on areas that can be used as an evacuation site if a disaster occurs, such as health centers and referral hospitals and information about the stages of evacuation if the disaster occurs. Early warning system that allows agencies related to the Sidoarjo Mud Mitigation Agency (BPLS) provide information directly via WEB and SMS that can be accessed by the public via the WEB and SMS. The next stage is the stage of recovery. To that end, the research platform designed with integrated GIS Decision Systems (DSS) for regional development planning. Platform that includes a planned relocation of the transportation system and the relocation industry. Relocation of industrial zones by the method of analytical hierarchy process to produce recommendations relocate industrial park. Modeling facility relocation alternative transport route network transformation results
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