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Service Description: Date of Image:
4/26/2019
Date of Next Image:
Unknown
Summary:
The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created these Flood Proxy Maps depicting areas of Quebec, Canada, that are likely flooded as a result of rain and rapid snow melt, shown by blue pixels. The maps were derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 (April 26) satellites operated by the European Space Agency (ESA).
Suggested Usage:
Potentially flooding is shown by blue pixels.
This flood proxy map should be used as guidance to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas.
Satellite/Sensor:
Synthetic Aperture Radar (SAR) on European Space Agency's (ESA) Copernicus Sentinel-1A satellite
Resolution: 30 meters
Credits:
Contains modified Copernicus Sentinel data (2019) analyzed by the NASA-JPL/Caltech ARIA team. This task was carried out at JPL funded by NASA Disasters Program.
Name: quebec_flooding_2019/aria_fpm_20190426
Description: Date of Image:
4/26/2019
Date of Next Image:
Unknown
Summary:
The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created these Flood Proxy Maps depicting areas of Quebec, Canada, that are likely flooded as a result of rain and rapid snow melt, shown by blue pixels. The maps were derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 (April 26) satellites operated by the European Space Agency (ESA).
Suggested Usage:
Potentially flooding is shown by blue pixels.
This flood proxy map should be used as guidance to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas.
Satellite/Sensor:
Synthetic Aperture Radar (SAR) on European Space Agency's (ESA) Copernicus Sentinel-1A satellite
Resolution: 30 meters
Credits:
Contains modified Copernicus Sentinel data (2019) analyzed by the NASA-JPL/Caltech ARIA team. This task was carried out at JPL funded by NASA Disasters Program.
Single Fused Map Cache: false
Extent:
XMin: -73.7486134
YMin: 44.42018891049234
XMax: -70.18253019565611
YMax: 46.201009
Spatial Reference: 4326
(4326)
Initial Extent:
XMin: -73.7486134
YMin: 44.42018891049234
XMax: -70.18253019565611
YMax: 46.201009
Spatial Reference: 4326
(4326)
Full Extent:
XMin: -73.7486134
YMin: 44.42018891049234
XMax: -70.18253019565611
YMax: 46.201009
Spatial Reference: 4326
(4326)
Pixel Size X: 2.7768908303565514E-4
Pixel Size Y: 2.776890830356552E-4
Band Count: 1
Pixel Type: U8
RasterFunction Infos: {"rasterFunctionInfos": [
{
"name": "aria_fpm_band4",
"description": "A raster function template.",
"help": ""
},
{
"name": "None",
"description": "",
"help": ""
}
]}
Mensuration Capabilities: Basic
Has Histograms: true
Has Colormap: false
Has Multi Dimensions : false
Rendering Rule:
Min Scale: 0
Max Scale: 0
Copyright Text: Contains modified Copernicus Sentinel data (2019) analyzed by the NASA-JPL/Caltech ARIA team. This task was carried out at JPL funded by NASA Disasters Program.
Service Data Type: esriImageServiceDataTypeGeneric
Min Values: 255
Max Values: 255
Mean Values: 255
Standard Deviation Values: 0
Object ID Field:
Fields:
None
Default Mosaic Method: Center
Allowed Mosaic Methods:
SortField:
SortValue: null
Mosaic Operator: First
Default Compression Quality: 75
Default Resampling Method: Bilinear
Max Record Count: null
Max Image Height: 4100
Max Image Width: 15000
Max Download Image Count: null
Max Mosaic Image Count: null
Allow Raster Function: true
Allow Copy: true
Allow Analysis: true
Allow Compute TiePoints: false
Supports Statistics: false
Supports Advanced Queries: false
Use StandardizedQueries: true
Raster Type Infos:
Name: Raster Dataset
Description: Supports all ArcGIS Raster Datasets
Help:
Has Raster Attribute Table: false
Edit Fields Info: null
Ownership Based AccessControl For Rasters: null
Child Resources:
Info
Histograms
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