{"DroughtBareSoilVulnerablity":{"title":"Drought Bare Soil Vulnerablity","description":"Shows areas of maximum bare soil in february from 2000-2012 Red exceeds basic wind and water  erosion threshold, yellow  exceeds watere erosion threshold","custodian":"LSC Greg Chapman  Work of Xihua Yang is acknowledged","currency":"140417  Data 2000-2012","lineage":"Modis satellite imagery from ground cover monitoring set for max bare soil at most crucial time of year.  Note ACT fire scars","source":"GroundCover Drought","resolution":"500m","hasPdf":false,"pdfFilename":null,"logText":"Shows areas of maximum bare soil in february from 2000-2012 Red exceeds basic wind and water  erosion threshold, yellow  exceeds watere erosion threshold\r\n\r\nLayer '' is generated from primary data 'cache4.tif'\r\nSplit into 5 classes\r\n1 - from 0\r\n2 - from 10\r\n3 - from 20\r\n4 - from 30\r\n5 - from 50","minValue":0,"maxValue":100,"floatData":false,"classes":[{"threshold":0,"thresholdEnd":10,"name":"","color":"rgb(81,38,255)"},{"threshold":10,"thresholdEnd":20,"name":"","color":"rgb(38,222,255)"},{"threshold":20,"thresholdEnd":30,"name":"","color":"rgb(38,255,59)"},{"threshold":30,"thresholdEnd":50,"name":"Exceeds H20 Erosion","color":"rgb(244,255,38)"},{"threshold":50,"thresholdEnd":100,"name":"Exceeds Wind Erosion","color":"rgb(255,38,38)"}]},"DroughtWaterQualityIssues":{"title":"Drought Water Quality Issues","description":"Sheet erosion plus gully erosoin, subsoil nutrients and LSC water erosion hazards and LSC salinity added . Highest is highlighted in red","custodian":"LSC Greg Chapman","currency":"Based on 2000 to 2012 data but soil mapping and land use can be older in places","lineage":"Simple adding with no weightings","source":"WaterQualityImpactFire","resolution":"500 m","hasPdf":false,"pdfFilename":null,"logText":"Sheet erosion plus gully erosoin, subsoil nutrients and LSC water erosion hazards and LSC salinity added . Highest is highlighted in red\r\n\r\nLayer 'DroughtWaterQualityIssues' is a composite layer producing 10 classes\r\nThe composite function is generated from the sum of:\r\n1 x 'GullyErosion4H2OQual'\r\n1 x 'oeh_LSC_salinity2009-2012'\r\n1 x 'SheetErosion4H2oQual'\r\nThe result is classed according to this table:\r\n1 - up to 0.625\r\n2 - up to 0.9375\r\n3 - up to 1.09375\r\n4 - up to 1.25\r\n5 - up to 1.5625\r\n6 - up to 1.875\r\n7 - up to 2.5\r\n8 - up to 4.0625\r\n9 - up to 6.09375\r\n10 - above 6.09375","minValue":0,"maxValue":20,"floatData":true,"classes":[{"threshold":0,"thresholdEnd":0.625,"name":"","color":"rgb(81,38,255)"},{"threshold":0.625,"thresholdEnd":0.9375,"name":"","color":"rgb(38,96,255)"},{"threshold":0.9375,"thresholdEnd":1.09375,"name":"","color":"rgb(38,197,255)"},{"threshold":1.09375,"thresholdEnd":1.25,"name":"","color":"rgb(38,255,211)"},{"threshold":1.25,"thresholdEnd":1.5625,"name":"","color":"rgb(38,255,110)"},{"threshold":1.5625,"thresholdEnd":1.875,"name":"","color":"rgb(67,255,38)"},{"threshold":1.875,"thresholdEnd":2.5,"name":"","color":"rgb(168,255,38)"},{"threshold":2.5,"thresholdEnd":4.0625,"name":"","color":"rgb(255,240,38)"},{"threshold":4.0625,"thresholdEnd":6.09375,"name":"","color":"rgb(255,139,38)"},{"threshold":6.09375,"thresholdEnd":20,"name":"","color":"rgb(255,38,38)"}]},"ExpectedSalinityImpactLotsofRain":{"title":"Expected Salinity Impact Lotsof Rain","description":"Areas with salt risk and increased recharge and discharge","custodian":"LSC Greg Chapman","currency":"140417  Layers from 1980-2013","lineage":"simple equal area multiplication.  Low Confidence","source":"SlanityDroughtflood project in Clim Vuln dataset","resolution":"500 m","hasPdf":false,"pdfFilename":null,"logText":"Areas with salt risk and increased recharge and discharge\r\n\r\nLayer 'ExpectedSalinityImpactLotsofRain' is a composite layer producing 10 classes\r\nThe composite function is generated from the product of:\r\n1 x 'Discharge'\r\n1 x 'RechargeDischargeSlope&Soil'\r\n1 x 'WaterLandAssetsCSaltRisk'\r\nThe result is classed according to this table:\r\n1 - up to 0.0625\r\n2 - up to 0.085\r\n3 - up to 0.1\r\n4 - up to 0.1075\r\n5 - up to 0.115\r\n6 - up to 0.1225\r\n7 - up to 0.13\r\n8 - up to 0.1375\r\n9 - up to 0.205\r\n10 - above 0.205","minValue":0.04,"maxValue":1,"floatData":true,"classes":[{"threshold":0.04,"thresholdEnd":0.0625,"name":"","color":"rgb(81,38,255)"},{"threshold":0.0625,"thresholdEnd":0.085,"name":"","color":"rgb(38,96,255)"},{"threshold":0.085,"thresholdEnd":0.1,"name":"","color":"rgb(38,197,255)"},{"threshold":0.1,"thresholdEnd":0.1075,"name":"","color":"rgb(38,255,211)"},{"threshold":0.1075,"thresholdEnd":0.115,"name":"","color":"rgb(38,255,110)"},{"threshold":0.115,"thresholdEnd":0.1225,"name":"","color":"rgb(67,255,38)"},{"threshold":0.1225,"thresholdEnd":0.13,"name":"","color":"rgb(168,255,38)"},{"threshold":0.13,"thresholdEnd":0.1375,"name":"","color":"rgb(255,240,38)"},{"threshold":0.1375,"thresholdEnd":0.205,"name":"","color":"rgb(255,139,38)"},{"threshold":0.205,"thresholdEnd":1,"name":"","color":"rgb(255,38,38)"}]},"FinalHybridLandUse":{"title":"Final Hybrid Land Use","description":"DynamicLandCover for Cropping and Pasture and Water, GA Landuse for intense landuse, horticulture, Forestry and unused and reserves","custodian":"","currency":"","lineage":"Improved pasture has positive EVI and high average ground cover.  Mixed farming falls into cropping due to DLC over 8 years check","source":"","resolution":"500 m","hasPdf":false,"pdfFilename":null,"logText":"DynamicLandCover for Cropping and Pasture and Water, GA Landuse for intense landuse, horticulture, Forestry and unused and reserves \r\n\r\nLayer 'FinalHybridLandUse' is generated with a Two Way from 'Improved Pasture' and 'HydridLandUse'\r\nproducing 10 classes\r\n10 10 \r\n9 9 \r\n8 8 \r\n7 6 \r\n7 6 \r\n4 4 \r\n4 4 \r\n3 3 \r\n2 2 \r\n1 1 \r\nX-Axis: Improved Pasture\r\nY-Axis: HydridLandUse\r\n\r\nLayer 'Improved Pasture' is a composite layer producing 2 classes\r\nThe composite function is generated from: iif({PastureTypeMask}=1 and {EVISumOfTrends}>0 and {MODIS_Baresoil_Annual Average (...)}<10,1,0)\r\nThe result is classed according to this table:\r\n1 - up to 0.5\r\n2 - above 0.5\r\n\r\nLayer 'HydridLandUse' is generated with a Two Way from 'ga_DynamicLandcoverClass2010' and 'ab_Landuse1997-2009'\r\nproducing 10 classes\r\n10 10 10 10 10 10 \r\n9 9 4 9 9 9 \r\n8 8 8 8 8 8 \r\n7 7 4 7 7 7 \r\n10 10 4 10 10 10 \r\n1 5 4 7 5 5 \r\n4 4 4 7 4 4 \r\n1 3 4 7 3 3 \r\n2 2 2 2 2 2 \r\n1 1 4 7 1 1 \r\nX-Axis: ga_DynamicLandcoverClass2010\r\nY-Axis: ab_Landuse1997-2009\r\n\r\nLayer 'ga_DynamicLandcoverClass2010' is a categorical layer built from 'ga_DynamicLandcoverClass2010.tif'\r\n\r\nExtraction for Extraction Sites\r\nWater wetlands for Inland Waterbodies\r\nWater wetlands for Salt Lakes\r\nCropping for Irrigated Cropping\r\nImp Pasture for Irrigated Pasture\r\nCropping for Irrigated Sugar\r\nCropping for Rainfed Cropping\r\nImp Pasture for Rainfed Pasture\r\nCropping for Rainfed Sugar\r\nWater wetlands for Wetlands\r\nNative Pasture for Forbs - Open\r\nNative Pasture for Forbs - Sparse\r\nNative Pasture for Alpine Grasses - Open\r\nNative Pasture for Hummock Grasses - Open\r\nNative Pasture for Sedges - Open\r\nNative Pasture for Tussock Grasses - Open\r\nNative Pasture for Grassland - Scattered\r\nNative Pasture for Tussock Grasses - Scattered\r\nNative Pasture for Grassland - Sparse\r\nNative Pasture for Hummock Grasses - Sparse\r\nNative Pasture for Tussock Grasses - Sparse\r\nOther for Shrubs - Closed\r\nOther for Shrubs - Open\r\nOther for Chenopod Shrubs - Open\r\nOther for Shrubs - Scattered\r\nOther for Chenopod Shrubs - Scattered\r\nOther for Shrubs - Sparse\r\nOther for Chenopod Shrubs - Sparse\r\nOther for Trees - Closed\r\nOther for Trees - Open\r\nOther for Trees - Scattered\r\nOther for Trees - Sparse\r\nWater wetlands for category 129\r\nLayer 'ab_Landuse1997-2009' is a categorical layer built from 'ab_Landuse1997-2009.tif'\r\n\r\nNationalParksTimberScrubUnused for Nature conservation\r\nNationalParksTimberScrubUnused for Managed resource protected areas\r\nNationalParksTimberScrubUnused for Other minimal uses\r\nRangelands for Grazing of native pastures\r\nForestry for Forestry\r\nForestry for Plantations\r\nImproved Pasture for Modified pastures\r\nCropping for Cropping\r\nHorticulture for Horticulture\r\nCropping for Irrigated pastures and cropping\r\nHorticulture for Irrigated horticulture\r\nIntense Land Use for Intensive animal and plant production\r\nIntense Land Use for Rural residential\r\nIntense Land Use for Urban intensive uses\r\nIntense Land Use for Mining and waste\r\nWater for Water\r\nIntense Land Use for Land in transition\r\nWater for category 129","minValue":0,"maxValue":1,"floatData":false,"classes":[{"threshold":0,"thresholdEnd":0.1,"name":"Water","color":"rgb(81,38,255)"},{"threshold":0.1,"thresholdEnd":0.2,"name":"Intense Land Use","color":"rgb(0,0,0)"},{"threshold":0.2,"thresholdEnd":0.3,"name":"Horticulture","color":"rgb(38,197,255)"},{"threshold":0.3,"thresholdEnd":0.4,"name":"Cropping","color":"rgb(38,255,211)"},{"threshold":0.4,"thresholdEnd":0.5,"name":"Unallocated","color":"rgb(255,255,255)"},{"threshold":0.5,"thresholdEnd":0.6,"name":"improved Pasture","color":"rgb(0,128,0)"},{"threshold":0.6,"thresholdEnd":0.7,"name":"Unimproved Pasture","color":"rgb(168,255,38)"},{"threshold":0.7,"thresholdEnd":0.8,"name":"Forestry","color":"rgb(255,240,38)"},{"threshold":0.8,"thresholdEnd":0.9,"name":"Rangeland Unimproved","color":"rgb(168,255,38)"},{"threshold":0.9,"thresholdEnd":1,"name":"Reserved Unused","color":"rgb(255,38,38)"}]},"MaskedSheetErosionExhaustionVlulnerability":{"title":"Masked Sheet Erosion Exhaustion Vlulnerability","description":"Red is relative immediacy of complete loss of functional topsoil and subsoil at current 2000-2012 erosion and ground cover conditions by land use","custodian":"LSC Greg Chapman","currency":"2000-2012 Modis and RUSLE modelled outputs.  1980s to 2010s soil mapping for GSG look up of topsoil and  functional subsoil fertility and thicknesses","lineage":"Erosion rates masked for intensive lan uses, snow cover and water.  Requires land use average losses","source":"IRD3TopsoilExhaustionGAC131216 project in Clim Vuln","resolution":"500m","hasPdf":false,"pdfFilename":null,"logText":"Red is relative immediacy of complete loss of functional topsoil and subsoil at current 2000-2012 erosion and ground cover conditions by land use\r\n\r\nLayer 'MaskedSheetErosionExhaustionVlulnerability' is a composite layer producing 10 classes\r\nThe composite function is generated from: iif({SheetErosionMask}=1 and {SheetErosionMask}=1,{IRD3TopsoilSheetErosionExhaustionVulnerability},0)\r\nThe result is classed according to this table:\r\n1 - up to 2.950509\r\n2 - up to 8.705505\r\n3 - up to 25.68568\r\n4 - up to 75.78583\r\n5 - up to 223.6068\r\n6 - up to 659.754\r\n7 - up to 1946.61\r\n8 - up to 5743.492\r\n9 - up to 16946.23\r\n10 - above 16946.23","minValue":0,"maxValue":50000,"floatData":true,"classes":[{"threshold":0,"thresholdEnd":2.950509,"name":"","color":"rgb(255,255,255)"},{"threshold":2.950509,"thresholdEnd":8.705505,"name":"","color":"rgb(38,96,255)"},{"threshold":8.705505,"thresholdEnd":25.68568,"name":"","color":"rgb(38,197,255)"},{"threshold":25.68568,"thresholdEnd":75.78583,"name":"","color":"rgb(38,255,211)"},{"threshold":75.78583,"thresholdEnd":223.6068,"name":"","color":"rgb(38,255,110)"},{"threshold":223.6068,"thresholdEnd":659.754,"name":"","color":"rgb(67,255,38)"},{"threshold":659.754,"thresholdEnd":1946.61,"name":"","color":"rgb(168,255,38)"},{"threshold":1946.61,"thresholdEnd":5743.492,"name":"","color":"rgb(255,240,38)"},{"threshold":5743.492,"thresholdEnd":16946.23,"name":"","color":"rgb(255,98,38)"},{"threshold":16946.23,"thresholdEnd":50000,"name":"","color":"rgb(255,38,38)"}]},"Possible_Sedimentation_and_eutrophication_to_wetlands":{"title":"Possible_ Sedimentation_and_eutrophication_to_wetlands","description":"Drought water quality issues combined with upslope catchment area for wetlands which are vulnerable to drought.  It is assumed that river connectedness mans the wetlands are prone to flooding and if there are large sources of sediment and this is multiplied by the topographic wetness index then sedimentation of  eroded materials, including nturients will occur. NB does not connect between pixels or able to show upslope catchment area for each wetland so very problematic","custodian":"LSC Greg Chapman","currency":"140418 Upslope catchment area 2012 and Water Quality issues - soils 1980s to 2010s and satellite time series 2000 to 2012","lineage":"single factor multiplication with no weightings","source":"WetlandsDrought","resolution":"500 m","hasPdf":false,"pdfFilename":null,"logText":"Drought water quality issues combined with upslope catchment area for wetlands which are vulnerable to drought.  It is assumed that river connectedness mans the wetlands are prone to flooding and if there are large sources of sediment and this is multiplied by the topographic wetness index then sedimentation of  eroded materials, including nturients will occur. NB does not connect between pixels or able to show upslope catchment area for each wetland so very problematic\r\n\r\nLayer 'Possible Sedimentation and eutrophication to wetlands' is a composite layer producing 5 classes\r\nThe composite function is generated from the product of:\r\n1 x 'DroughtWaterQualityIssues'\r\n1 x 'UpslopeCatchmentArea'\r\n1 x 'Wetland Vulnerability to Drought'\r\nThe result is classed according to this table:\r\n1 - up to 0.003661319\r\n2 - up to 0.007322638\r\n3 - up to 0.01098396\r\n4 - up to 0.01464528\r\n5 - above 0.01464528","minValue":0,"maxValue":0.01830659,"floatData":true,"classes":[{"threshold":0,"thresholdEnd":0.003661319,"name":"","color":"rgb(81,38,255)"},{"threshold":0.003661319,"thresholdEnd":0.007322638,"name":"","color":"rgb(38,222,255)"},{"threshold":0.007322638,"thresholdEnd":0.01098396,"name":"","color":"rgb(38,255,59)"},{"threshold":0.01098396,"thresholdEnd":0.01464528,"name":"","color":"rgb(244,255,38)"},{"threshold":0.01464528,"thresholdEnd":0.01830659,"name":"","color":"rgb(255,38,38)"}]},"SheetErosion4H2oQual":{"title":"Sheet Erosion 4 H 2o Qual","description":"MaximumDroughtSheetErosion ex time series modis RUSLE modeling plusTopsoil and LandUse Nutrients plus clay per centage in topsoil as indication of sheet erosion water quality impacts  In sheet erosion drought project. Clim Vuln dataset","custodian":"LSC GregChapman","currency":"Time Series 2000-2012 plus nutirents for land use from Ab land use approx 1999 plus O","lineage":"","source":"","resolution":"500 m","hasPdf":false,"pdfFilename":null,"logText":"MaximumDroughtSheetErosion ex time series modis RUSLE modeling plusTopsoil and LandUse Nutrients plus clay per centage in topsoil as indication of sheet erosion water quality impacts\r\n\r\nLayer 'SheetErosion4H2oQual' is a composite layer producing 10 classes\r\nThe composite function is generated from: {SheetErosionCoverMaximum2000-2012}*[Soil&LanduseNutrients]*[TopSoilClay]\r\nThe result is classed according to this table:\r\n1 - up to 0.15625\r\n2 - up to 0.3125\r\n3 - up to 0.46875\r\n4 - up to 0.625\r\n5 - up to 0.78125\r\n6 - up to 1.09375\r\n7 - up to 1.5625\r\n8 - up to 2.96875\r\n9 - up to 5\r\n10 - above 5","minValue":0,"maxValue":20,"floatData":true,"classes":[{"threshold":0,"thresholdEnd":0.15625,"name":"","color":"rgb(81,38,255)"},{"threshold":0.15625,"thresholdEnd":0.3125,"name":"","color":"rgb(38,96,255)"},{"threshold":0.3125,"thresholdEnd":0.46875,"name":"","color":"rgb(38,197,255)"},{"threshold":0.46875,"thresholdEnd":0.625,"name":"","color":"rgb(38,255,211)"},{"threshold":0.625,"thresholdEnd":0.78125,"name":"","color":"rgb(38,255,110)"},{"threshold":0.78125,"thresholdEnd":1.09375,"name":"","color":"rgb(67,255,38)"},{"threshold":1.09375,"thresholdEnd":1.5625,"name":"","color":"rgb(168,255,38)"},{"threshold":1.5625,"thresholdEnd":2.96875,"name":"","color":"rgb(255,240,38)"},{"threshold":2.96875,"thresholdEnd":5,"name":"","color":"rgb(255,139,38)"},{"threshold":5,"thresholdEnd":20,"name":"","color":"rgb(255,38,38)"}]},"SheetErosionCoverMaximum2000-2012":{"title":"Sheet Erosion Cover Maximum 2 0 0 0- 2 0 1 2","description":"Maximum sheet erosion hazard recorded for 2000-2012 during February? highest values are in red Maxium tolerance is 10tonnes hecatare per yea. Areas exceeding this are shown in whiter","custodian":"LSC Greg Chapman.  Needs checking.  NB does not work for snow, urban, water, not masked","currency":"2000-2012","lineage":"MODIS gournd cover routed through Xihua Yang's RUSLE modelling","source":"SheetEroisonDrought project in Clim Vuln dataset","resolution":"500 m","hasPdf":false,"pdfFilename":null,"logText":"Maximum sheet erosion hazard recorded for 2000-2012 during February? highest values are in red Maxium tolerance is 10tonnes hecatare per yea. Areas exceeding this are shown in whiter\r\n\r\nLayer 'SheetErosionCoverMaximum2000-2012' is generated from primary data 'cache5.tif'\r\nSplit into 10 classes\r\n1 - from 0\r\n2 - from 13.125\r\n3 - from 24.0625\r\n4 - from 34.45313\r\n5 - from 44.29688\r\n6 - from 50.3125\r\n7 - from 54.14063\r\n8 - from 57.42188\r\n9 - from 60.15625\r\n10 - from 63.4375","minValue":0,"maxValue":70,"floatData":false,"classes":[{"threshold":0,"thresholdEnd":13.125,"name":"","color":"rgb(81,38,255)"},{"threshold":13.125,"thresholdEnd":24.0625,"name":"","color":"rgb(38,96,255)"},{"threshold":24.0625,"thresholdEnd":34.45313,"name":"","color":"rgb(38,197,255)"},{"threshold":34.45313,"thresholdEnd":44.29688,"name":"","color":"rgb(38,255,211)"},{"threshold":44.29688,"thresholdEnd":50.3125,"name":"","color":"rgb(38,255,110)"},{"threshold":50.3125,"thresholdEnd":54.14063,"name":"","color":"rgb(67,255,38)"},{"threshold":54.14063,"thresholdEnd":57.42188,"name":"","color":"rgb(168,255,38)"},{"threshold":57.42188,"thresholdEnd":60.15625,"name":"","color":"rgb(255,240,38)"},{"threshold":60.15625,"thresholdEnd":63.4375,"name":"","color":"rgb(255,139,38)"},{"threshold":63.4375,"thresholdEnd":70,"name":"","color":"rgb(255,38,38)"}]},"UpslopeCatchmentArea":{"title":"Upslope Catchment Area","description":"topographic wetness index mulitplied by slope to provide an indication of  catchment size within a region of 1150 pixels (check this looks wrong)","custodian":"LSC Greg Chapman","currency":"140416  GA data TWI space shuttle radar 30m data","lineage":"TWI notes say slope but this should be the tan of the slope","source":"IRF6TorrentialFlows","resolution":"500 m","hasPdf":true,"pdfFilename":"UpslopeCatchmentArea.pdf","logText":"topographic wetness index mulitplied by slope to provide an indication of  catchment size within a region of 1150 pixels (check this looks wrong)\r\n\r\nLayer 'UpslopeCatchmentArea' is a composite layer producing 10 classes\r\nThe composite function is generated from: {ga_twi_2000}*{oeh_Slope_2011}\r\nThe result is classed according to this table:\r\n1 - up to 9\r\n2 - up to 18\r\n3 - up to 27\r\n4 - up to 36\r\n5 - up to 45\r\n6 - up to 63\r\n7 - up to 81\r\n8 - up to 108\r\n9 - up to 162\r\n10 - above 162","minValue":0,"maxValue":1152,"floatData":true,"classes":[{"threshold":0,"thresholdEnd":9,"name":"","color":"rgb(81,38,255)"},{"threshold":9,"thresholdEnd":18,"name":"","color":"rgb(38,96,255)"},{"threshold":18,"thresholdEnd":27,"name":"","color":"rgb(38,197,255)"},{"threshold":27,"thresholdEnd":36,"name":"","color":"rgb(38,255,211)"},{"threshold":36,"thresholdEnd":45,"name":"","color":"rgb(38,255,110)"},{"threshold":45,"thresholdEnd":63,"name":"","color":"rgb(67,255,38)"},{"threshold":63,"thresholdEnd":81,"name":"","color":"rgb(168,255,38)"},{"threshold":81,"thresholdEnd":108,"name":"","color":"rgb(255,240,38)"},{"threshold":108,"thresholdEnd":162,"name":"","color":"rgb(255,139,38)"},{"threshold":162,"thresholdEnd":1152,"name":"","color":"rgb(255,38,38)"}]},"Wetland_Vulnerability_to_Drought":{"title":"Wetland_ Vulnerability_to_ Drought","description":"Wetlands close to rivers, with high rainfall-low evap, and elevation well above sea level are likely to be  more dependent on surface water flows.  Low confidence in this. Dots shown in warm colours","custodian":"LSC Greg Chapman","currency":"140418  Rivers range date unknown, Presscott 2000 data, elevation 2010","lineage":"Multiplication Elevation, Prescott by 1 and Wetlands closs to river by  10","source":"WetlandsDrought project in Clim Vuln dataset","resolution":"500 m","hasPdf":false,"pdfFilename":null,"logText":"Wetlands close to rivers, with high rainfall-low evap, and elevation well above sea level are likely to be  more dependent on surface water flows.  Low confidence in this. Dots shown in warm colours\r\n\r\nLayer 'WetLandRiverDistancePrescottElevation' is a composite layer producing 5 classes\r\nThe composite function is generated from the product of:\r\n1 x 'oeh_elevation_NSW'\r\n1 x 'oeh_presscott0000'\r\n10 x 'Wetlands close to rivers'\r\nThe result is classed according to this table:\r\n1 - up to 0.4640567\r\n2 - up to 0.9281135\r\n3 - up to 1.39217\r\n4 - up to 1.856227\r\n5 - above 1.856227","minValue":0,"maxValue":2.320284,"floatData":true,"classes":[{"threshold":0,"thresholdEnd":0.4640567,"name":"","color":"rgb(81,38,255)"},{"threshold":0.4640567,"thresholdEnd":0.9281135,"name":"","color":"rgb(38,222,255)"},{"threshold":0.9281135,"thresholdEnd":1.39217,"name":"","color":"rgb(38,255,59)"},{"threshold":1.39217,"thresholdEnd":1.856227,"name":"","color":"rgb(244,255,38)"},{"threshold":1.856227,"thresholdEnd":2.320284,"name":"","color":"rgb(255,38,38)"}]}}