ASPRS

PE&RS October 1998

VOLUME 64, NUMBER 10
PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
JOURNAL OF THE AMERICAN SOCIETY FOR PHOTOGRAMMETRY AND REMOTE SENSING

Peer Reviewed Articles

977 An Integration of Remote Sensing, GIS, and Information  Distribution for Wildfire Detection and Management
Vincent G. Ambrosia, Sally W. Buechel, James A. Brass,James R. Peterson, Richard H. Davies, Ronald J. Kane,and Steve Spain

Abstract
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A disaster mitigation feasibility study, entitled "WILDFIRE," was initiated in 1997. Project WILDFIRE demonstrated the feasibility of integrating civil and commercial communications and information technology to provide operational resources to firefighters attacking wildland fires. The demonstration of various technologies occurred during an actual "controlled" burn in a wildland environment in northern California. Real-time data transfer of thermal line scanner data from an airborne platform via a cellular data phone transmission was accomplished, and near-real-time map integration and development was demonstrated using portable uplink/downlink systems to "move" data and asset information (such as vehicle and personnel locations) to a fire camp and a disaster control center. Vehicle tracking was accomplished with the Global Positioning System (GPS) and radio communications to track both fire equipment and field personnel in real time. We focus on the utility and melding of these "off-the-shelf ' and emerging technologies in the context of disaster mitigation and response. 

987 GIS and Image Understanding for Near-Real-Time Earthquake Damage Assessment
Paolo Gamba and Fabio Casciati

Abstract
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This paper evolved from the results of RADATT (RApid Damage Assessment Telematic Tool), a project funded by the European Commission, whose goal was to sensibly reduce the effects of a devastating seismic event by providing the responsible agencies rapid and reliable damage detection and estimation of the extent and location of the suffered area.

This result was accomplished by the integration, within a single user interface environment, of data access and standardization techniques, image processing tools, and GIS technology. A two-phase operating model has been conceived. In the pre-event era, images and data about buildings and infrastructures are collected and analyzed exploiting GIS capabilities. Immediately after the occurrence of the earthquake, the system must be ready to receive near-real-time imagery of the affected area to be compared with the pre-event data set.

In this paper the capability of this quick change-detection analysis, given the availability of the pre-event information in the GIS environment, is discussed.  

995 Identification of Potential Hazardous Waste Units Using  Aerial Radiological Measurements
Patrick J. Bresnahan

Abstract
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Remote sensing of radioIogica1 phenomena provides valuable support for a variety of environmental applications. Aerial gamma ray spectrometer (AGRS) survey data and the tools of geographic information systems (GIS) can be used to identify radiological hazards in support of risk assessments for contaminated areas. This paper describes an application of AGRS survey data and highlights technology development, previous uses, contemporary applications, and operational characteristics of AGRS technology. The described application of aerial radiological measurements was employed to delineate geographical boundaries for potential waste units within stream corridors. The project objectives included importing AGRS data into a spatial model and the creation of user-defined contoured boundaries. Potential radiological hazard boundaries were derived using processed exposure rate counts from an aircraft platform as the third dimension in the data model. A procedure was developed using GIS software to produce TIN (triangulated irregular network) structures from ASCII text files of processed AGRS sample data. Contours of exposure rate counts and dose values were interpolated from the TIN structures to provide preliminary boundaries based on individual isotopes. It is intended that these boundaries be used as a reference for field survey and preliminary site characterization. 

1003 A Systems Approach to Environmental Sensitivity Index (ESI) Mapping for Oil Spill Contingency Planning and Response
John R. Jensen, Joanne N. Halls, and Jacqueline Michel

Abstract
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Oil spills can devastate ecosystems and severely impact water quality. The Environmental Sensitivity Index (ESI) was developed to reduce the environmental consequences of a spill and help prioritize the placement and allocation of resources during cleanup efforts. The successful use of analog and digital geographic information system versions of the ESI concept during the past ten years has led to improvements and refinements, including (1) the development of tidal inlet protection strategy maps produced before a spill that specify the type of response (e.g., boom, skimmer) and where and how to place it, (2) new large format seasonal summary maps, (3) geographic expansion of the ESI concept inland to classify the sensitivity of rivers using a river Reach Sensitivity Index (RSI), (4) regional watershed analysis to identify hazards and potential spill consequences, and (5) the identification of unusually sensitive areas to environmental damage if there is a hazardous liquid pipeline accident,

1015 Application of C-CAP Protocol Land-Cover Data to Nonpoint Source Water Pollution Potential Spatial Models in a Coastal Environment
Floyd M. Henderson, Thomas F. Hart, Jr., Laura Orlando, Brian Heaton, James Portolese, and Robert Chasan

Abstract
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Nonpoint source water pollution is a gradual and often subtle hazard, especially to water quality. Custom-derived satellite imagery-based land-cover data have proven useful in the creation of nonpoint source water pollution potential models but are expensive and time consuming to create. This study examines the potential of an existing satellite-based (TM) land-cover data set (Coastal Change Analysis Program) in a rapidly developing coastal area. A comparison is made of generalized and detailed hydrologic soil groups in compiling permeability values. Two distance-to-water variables are also tested in the spatial model. Results indicate that C-CAP data can provide a useful land-cover database for such work. Both soil groupings may have utility, but weighted distance measures provide a more accurate representation of nonpoint source water pollution potential sources and spatial distribution.
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