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Service Description: The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. This layer is based on multi-temporal and multi-seasonal optical high-resolution Landsat data, image coverages (HR IMAGE2009, HR IMAGE2012 and HR IMAGE2015 from the ESA DataWare House, DWH), the Copernicus space and contributing Missions (SPOT, IRS), whereas HR IMAGE2015 serves as geometric reference for all satellite data. In addition, this layer is also based on radar information (Sentinel-1 data) with a geometric resolution of 10m on a pan-European basis. Hence, a multitude of optical and SAR imagery is ingested over a prolonged time series of 7 years. The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.
Map Name: HRL_WaterWetness_2015
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Description: The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. This layer is based on multi-temporal and multi-seasonal optical high-resolution Landsat data, image coverages (HR IMAGE2009, HR IMAGE2012 and HR IMAGE2015 from the ESA DataWare House, DWH), the Copernicus space and contributing Missions (SPOT, IRS), whereas HR IMAGE2015 serves as geometric reference for all satellite data. In addition, this layer is also based on radar information (Sentinel-1 data) with a geometric resolution of 10m on a pan-European basis. Hence, a multitude of optical and SAR imagery is ingested over a prolonged time series of 7 years. The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.
Copyright Text: European Environment Agency (EEA)
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
Initial Extent:
XMin: -7186259.412902329
YMin: 6864540.71788555
XMax: 9012009.808920586
YMax: 1.2457352870406069E7
Spatial Reference: 102100
(3857)
Full Extent:
XMin: -6290123.6236994015
YMin: 2788074.749681939
XMax: 8115874.019717658
YMax: 1.1996911055133492E7
Spatial Reference: 102100
(3857)
Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: WaterWetness 2015
Author:
Comments: The combined Water and Wetness product is a thematic product showing the occurrence of water and wet surfaces over the period from 2009 to 2015. This layer is based on multi-temporal and multi-seasonal optical high-resolution Landsat data, image coverages (HR IMAGE2009, HR IMAGE2012 and HR IMAGE2015 from the ESA DataWare House, DWH), the Copernicus space and contributing Missions (SPOT, IRS), whereas HR IMAGE2015 serves as geometric reference for all satellite data. In addition, this layer is also based on radar information (Sentinel-1 data) with a geometric resolution of 10m on a pan-European basis. Hence, a multitude of optical and SAR imagery is ingested over a prolonged time series of 7 years. The main Water and Wetness (WAW) product with defined classes of (1) permanent water, (2) temporary water, (3) permanent wetness and (4) temporary wetness. The products show the occurrence of water and indicate the degree of wetness in a physical sense, assessed independently of the actual vegetation cover and are thus not limited to a specific land cover class and their relative frequencies.
Subject: Mapping permanent and temporary wate/wetness for reference year 2015
Category:
Keywords: High,Resolution,Layer,HRL,Water,Wetness,WAW,2015,Copernicus,Copernicus,Land
AntialiasingMode: None
TextAntialiasingMode: Force
Supports Dynamic Layers: true
MaxRecordCount: 1000
MaxImageHeight: 4096
MaxImageWidth: 4096
Supported Query Formats: JSON, geoJSON, PBF
Supports Query Data Elements: true
Min Scale: 0
Max Scale: 0
Supports Datum Transformation: true
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