20211111 10581200 1.0 ISO 19139 Metadata Implementation Specification GML3.2 FALSE Inflow_dependency_covering_Australia_2000_2010.tif 002 108.000000 156.000000 -44.000000 -8.000000 1 Geographic GCS_GDA_1994 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>GEOGCS[&quot;GCS_GDA_1994&quot;,DATUM[&quot;D_GDA_1994&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4283]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>11258999068426.238</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4283</WKID><LatestWKID>4283</LatestWKID></GeographicCoordinateSystem> 32 FALSE LZW 1 TIFF TRUE continuous signed integer 2.1474836e+09 20211111 10565400 20211111 10565400 150000000 5000 ISO19139 Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 Inflow dependency covering Australia 2000 - 2010 1 108.000000 156.000000 -8.000000 -44.000000 The data set expresses likelihood of inflow dependent landscapes (ID) from 1 -10 (low to high). IDs are landscapes that are wetter than surrounding areas... <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The data set expresses likelihood of inflow dependent landscapes (ID) from 1 -10 (low to high). IDs are landscapes that are wetter than surrounding areas either seasonally or permanently, because they receive water from inflows in addition to rainfall, such as groundwater. IDs include a large variety of natural ecosystems (e.g. rivers, wetland, and forests) as well as altered landscapes such as irrigated farming and channels. The ID layer was constructed from multiple satellite sensors, namely MODIS and Landsat. While MODIS estimates evapotranspiration from land surface (van Dijk et al., 2011) and Landsat measures vegetation dynamics sustained during a prolonged dry period (Barron et al., 2011), the two sources were combined by converting these metrics into a standard unit based on likelihood of an ID ranging from 1 to 10 (low to high). Within different landscapes, rules are applied to determine the combination of MODIS and Landsat data to develop a continental likelihood of ID expressed at 25m resolution (SKM, 2012).</SPAN></P><P><SPAN>The data set expresses likelihood of inflow dependent landscapes (ID) from 1 -10 (low to high). IDs are landscapes that are wetter than surrounding areas either seasonally or permanently, because they receive water from inflows in addition to rainfall, such as groundwater. IDs include a large variety of natural ecosystems (e.g. rivers, wetland, and forests) as well as altered landscapes such as irrigated farming and channels. The ID layer was constructed from multiple satellite sensors, namely MODIS and Landsat. While MODIS estimates evapotranspiration from land surface (van Dijk et al., 2011) and Landsat measures vegetation dynamics sustained during a prolonged dry period (Barron et al., 2011), the two sources were combined by converting these metrics into a standard unit based on likelihood of an ID ranging from 1 to 10 (low to high). Within different landscapes, rules are applied to determine the combination of MODIS and Landsat data to develop a continental likelihood of ID expressed at 25m resolution (SKM, 2012).</SPAN></P><P><SPAN>The presence and location of ID landscapes is a strong indicator for the presence of GDEs, and is the foundation for identifying GDEs. The purpose of this resource is to provide a continental ID layer for Australia which is used as a primary input into the National Water Commission's GDE Atlas.</SPAN></P><P><SPAN>The presence and location of ID landscapes is a strong indicator for the presence of GDEs, and is the foundation for identifying GDEs. The purpose of this resource is to provide a continental ID layer for Australia which is used as a primary input into the National Water Commission's GDE Atlas.</SPAN></P><P><SPAN>The limitation is that the scale and resolution of the mapped information is only as detailed as the input mapping used; features which do not influence a 30m Landsat pixel are not identifed on the map. In addition, the data is dependent on the time period of the data used (2000 - 2010) and can only be identified if active in the time period; it does not provide information on the future or the past.</SPAN></P><P><SPAN>The limitation is that the scale and resolution of the mapped information is only as detailed as the input mapping used; features which do not influence a 30m Landsat pixel are not identifed on the map. In addition, the data is dependent on the time period of the data used (2000 - 2010) and can only be identified if active in the time period; it does not provide information on the future or the past</SPAN></P></DIV></DIV></DIV> inflow dependent ecosystem hydrogeology remote sensing MODIS LandsatTM 5 Raster Dataset dataset EPSG 9.8(3.0.1) 2 1 0 108.000000 -44.000000 108.000000 -8.000000 156.000000 -8.000000 156.000000 -44.000000 132.000000 -26.000000 192000 0.000250 144000 0.000250 Band_1 10.000000 1.000000 32 20211111 Cell values are representing likelihood by an integer value from 1 -10 (low to high). Attribute accuracy is tested by visual verification by a hydrogeologist and reviewed by CSIRO. All cell values are checked using ARC/INFO software. There are no duplication of values and each cell has only one numerical attribute ranging from 1 - 10. Originators: MODIS - NASA (distruibutor), CSIRO (post-processing), Landsat - USGS (distributor), SKM (processing), CSIRO (processing) Title: Remote sensing data - MODIS and Landsat Other citation details: MODIS: 2000-2010 8-day 250m and 500m resolution MOD43B4 Nadir BRDF product (Paget and King, 2008); Landsat: LandsatTM5 (Markham & Barker, 1985) MODIS was used to estimate evapotranspiration from land surface and Landsat measures vegetation dynamics sustained during a prolonged dry period. Both were combined to map likelihood of ID 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myWXaTk7en0965RNCuJ7ye9viYbCPlIhECd23aQT0JPHJHX0zz08/iGWC6tbd7iJwkG2XdKFZWyeynaDtwCT/dHrwAdz8P55LnwbaSyoyO0k3ysMEKJXC/8AjoFdRXCfDq5vbuXWp5CjWDSxfZmU5O7Z8+fw2H8a7ugAooooAKKKKACiiigDI8RwTXPh+9S3VnnWMvGi9WYcgfjivI7mxl1CxWaRd4kt1IAOCQVKnJB9W6H8q9qu722sYDNczJFGONzHqfQep9q8QtUuNOtF+2ndcMxlkZGz97IBIx14Xj3oAjsdTiF6ljNHNHMVcHyE2oVHzAcHJb5c/h0ptsdWjtLp7mO31K1LttbzGRgQeEOc4xjoc4HoBVqznNnqEV0YUuN+VRAA7tuH93GW6+n41r6l4lhOmW9vaaZdKJW/fi3gdBEuCGYkg8nPTHrnuKALGiS/bNMtcaYsew7Gi8/IXPIB46Dr+Ncp4z8RXdnrkVtH5JtSuCynJH41t2c15rBs9N0OK9jiZ0Es8sbKrrjJbpjHB56kjoO/Y2fwz0CNll1KH+0ZwSc3HKdc/c6UAePX/jO3t7dFVjMz4BRWzk+g96jt9U1i8hWe00TUvJfBV/Idlb8MYPFfQMXhfQLdw8Wi6ejAggi2TII6Y4rYoA8Mt/tGmi1jvtPuIpZwHi3RMpYrzjbj9PSmzaqNQ1MR2El7byD5Wt51ARfXGcCvbLmztbtVW6toZwpyolQNg+2a4vxl4YiNiL6zgRYIFLXiAsWeJRnCgfieCPxoA58QXek2SxWduZYp5CY2SVQvpkYbpkYPAPP5aZtdPs7m0la5EVre7W8t5fmDMuQM9cZGCOO/0rkLZ9W1DUIdP0Se6CrE7QrKAyOSQWBbB4JHBz2Hbmk8X6fdWWrQpLcLLNbWgUyhcjeASexxgdDjNAHSa2ljYaPfbLdJbWNBujMnIUgBf1xjvXCQwamb+1vC1tHpUoKxiNCXMZHK8/xYGM54wc9a6NfDgvNE+0anczBZ3WZUjct5zFdwXaMADpj8PrTYbdrGBAli5ijbiOQlScZJY4GQOB1wOR36gGLrWlJY+IHkg0+N4WQbYnXEaY2/7Q3HH4dfrXT6bqNvJBdxRy+YbWNmkUKU2nnC4HHTHrzz71k2niSxtI5/7Rs3tYyObhmDFewHrngDjsfxrkmvLo67c31rcss0ZKhp4yu4bgANo4yPfB+bpQB6RJe6a/h5Zkmu98kx2xsVIbaw+bn7vOMYxyO46cdq9xHY21xKu+zlZCI5Y1Z9h+YZI5GCMenrWtp95Pb39tHPbs+jwqIpopOFwQzAhRjJyM8V10fhPSfEutLdxSSqkdunmnYVIVufKwf93JyCRxnrQBvfDfT20/wNp6ySvNNMGnklddpcsTg49MYx7YrraaAFAAAAHAA7U6gAooooAKKKKACiiigCnfWFtqFv5F1EJI85AyQQemQRyDyea5C4+HzzxLBJqnmwROXgM0GZIzu3csGAb05HI613dFAGBo/hXT9JeKcKJLxAR5+NvXttHH55PvW8RkYPSlooAQADoMUtFFABRRRQAUUUUAc9YaRpXhK2up4yIhcS7mZgTjJ+VQB0Az0FZmu6JJeWluYrcySRgyTT4wrDO7G08k5A7Y/lXaUUAeKW/i6y0+R7a7Wd5HfbGoJCyDhR8+P4cHjp6UviHxXBaSw6W0sQ3SbGkGXK/MCoYYGQCMHvU/i/w9exTXTSIU3XjS2pi3bJNxyinkAHOQQT6eorkrTREtr6Sa7tDcNyhTEhGeeQ2Dz0/LrQBry6Nr1rfC43W95bWh8+cKjIGHUjHK9j6jp9Kzo7O11DUpr2Sze2kbMslvGuFL53ZU8Y5yMc+3pV/Vv7atdIlVLe7exaQrIturMzEDOCCM4OckjHXn0qhpGh+JPEoN3JcSRrL/qUjjO7Kg8nHQj5RzjOetAF/Sbs32rL5KfaJQ4McQYKMqwwFyMHk/p+Fe06Rp7abYLDJIZZmYvLKeWdiepOB2wOnQV554T8I6hp+uW0k2kNbwxbVZ5Jg3yoBsxyT1x+Veq0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFADWVXUqwDA9iM1Qu9G0+8KtcWiFkfeGUbTnOeo5PNaNFAGfJp1hqFgsE9lG0DJgRvGBtB5xjt2qPTNI07w9p3kWNusMCZY7FyTznsMmqetzXGmNJqEPmyb0WJUU5CuCcEj0OeeOMZrlv+Ej8UzytaRyWX2hJEO2OPl4z2VydpJ4OQO544oA9HVgyhlIIIyCO9OpkbF41YjBIBwDnFPoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigCnqNhDqVjNZzZCSjG5eCp6gj3B5rC0TwVZ6SJPOuJL5vtHnxNOozFyrYH/Alzn0OKKKAOpooooAKKKKACiiigD//Z