SingleLayers/EasternKs_DepthToFlood (ImageServer)

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Service Description: Severe, widespread flooding in southeast Kansas in Summer 2007 resulted in a Federal Disaster Declaration in 20 counties. Largely unprecedented in scope and magnitude, this catastrophic event exposed various information gaps affecting flood emergency response activities. In particular, there was no capability for real-time estimation of wide area floodwater extent, information vital for improving situational awareness. With the support of the Kansas Adjutant General’s Department, and using funding provided by the Kansas GIS Policy Board, the KBS FLDPLN (“Floodplain”) model was used to create a Segmented Library of Inundation Extents (SLIE) spanning 40 counties in eastern Kansas. The SLIE, which includes more than 330 stream segments, was developed during 2007-2009 using 10-m USGS NED elevation data. Using real-time and forecast river stage information from more than 130 USGS and NWS stream gages located in eastern Kansas, the SLIE allows for seamless, stage-varying estimation of floodwater extent during major riverine flood events. In addition to real-time emergency response applications, the SLIE database is also used for scenario modeling to facilitate flood disaster training exercises conducted by the Kansas Division of Emergency Management. The FLDPLN model was originally developed at KBS for river valley identification and “depth to flood” mapping. In addition to its emergency response applications, the FLDPLN model is currently used by KBS scientists for wetland stratification, river valley morphology assessment, and lake extent mapping. Use Constraints: This database is not suited for flood insurance studies or other regulatory purposes. Interpretations derived from this use are intended for planning purposes only. For more information contact Jude Kastens, jkastens@ku.edu

Name: SingleLayers/EasternKs_DepthToFlood

Description: Severe, widespread flooding in southeast Kansas in Summer 2007 resulted in a Federal Disaster Declaration in 20 counties. Largely unprecedented in scope and magnitude, this catastrophic event exposed various information gaps affecting flood emergency response activities. In particular, there was no capability for real-time estimation of wide area floodwater extent, information vital for improving situational awareness. With the support of the Kansas Adjutant General’s Department, and using funding provided by the Kansas GIS Policy Board, the KBS FLDPLN (“Floodplain”) model was used to create a Segmented Library of Inundation Extents (SLIE) spanning 40 counties in eastern Kansas. The SLIE, which includes more than 330 stream segments, was developed during 2007-2009 using 10-m USGS NED elevation data. Using real-time and forecast river stage information from more than 130 USGS and NWS stream gages located in eastern Kansas, the SLIE allows for seamless, stage-varying estimation of floodwater extent during major riverine flood events. In addition to real-time emergency response applications, the SLIE database is also used for scenario modeling to facilitate flood disaster training exercises conducted by the Kansas Division of Emergency Management. The FLDPLN model was originally developed at KBS for river valley identification and “depth to flood” mapping. In addition to its emergency response applications, the FLDPLN model is currently used by KBS scientists for wetland stratification, river valley morphology assessment, and lake extent mapping. Use Constraints: This database is not suited for flood insurance studies or other regulatory purposes. Interpretations derived from this use are intended for planning purposes only. For more information contact Jude Kastens, jkastens@ku.edu

Single Fused Map Cache: false

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Initial Extent:

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Pixel Size X: 9.259259260000005E-5

Pixel Size Y: 9.259259260000007E-5

Band Count: 1

Pixel Type: F32

RasterFunction Infos: {"rasterFunctionInfos": [ { "name": "dtf0", "description": "A raster function template.", "help": "" }, { "name": "None", "description": "", "help": "" } ]}

Mensuration Capabilities: Basic

Has Histograms: false

Has Colormap: false

Has Multi Dimensions : false

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Max Scale: 0

Copyright Text: Jude Kastens / Kansas Applied Remote Sensing

Service Data Type: esriImageServiceDataTypeGeneric

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Standard Deviation Values: 4.056345858020155

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Default Resampling Method: Nearest

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Max Image Height: 4100

Max Image Width: 15000

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Allow Raster Function: true

Allow Copy: true

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Supports Statistics: false

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Ownership Based AccessControl For Rasters: null

Child Resources: Info Statistics Key Properties Legend Raster Function Infos

Supported Operations: Export Image Identify Measure Compute Histograms Compute Statistics Histograms Get Samples Compute Class Statistics Query Boundary Compute Pixel Location Compute Angles Validate Project