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Updated description of Inundation Maps for NSW Inland Floodplain Wetlands from
Under the NSW DPIE-EES Environmental Water Management Program the distribution and extent of inundation is monitored in large inland floodplain wetland assets which are targeted for environmental flow delivery and located in the NSW portion of the Murray-Darling Basin: Gwydir wetlands, Lowbidgee floodplain, Lower Lachlan wetlands, Macquarie Marshes, and Barmah-Millewa Forest. Inundation maps are derived from image observations sourced from the satellite data sources of Landsat (30m pixel) and Sentinel-2 (10m pixel) for the period July 2014-June 2019. Image observations are automatically downloaded by NSW DPIE from the USGS (Unites State Geological Survey’s Earth Explorer website (http://earthexplorer.usgs.gov ) and the Copernicus Sentinel Open Access Hub (https://scihub.copernicus.eu/dhus/#/home ) as orthorectified images. NSW DPIE process these images to standardised surface reflectance (Flood et al. 2013). Image observations with high cloud coverage (>50%) are not considered because they cannot be processed. The inundation mapping procedure is a modified version of Thomas et. al (2015) which is a method to map inundation in vegetated floodplain wetlands using an integrated spectral response to water and vigorous vegetation. From each satellite image observation NSW DPIE-EES automatically generates a water index (Fisher et al. 2016) and the NDVI vegetation index. These indices are used to allocate inundated pixels to classes of open water, mixed water and vegetation, and dense vegetation cover that was inundated (Thomas et al. 2015). A process of pixel recoding is conducted to produce each inundation map. First all inundation classes are merged and allocated a value of one (1) whilst all other pixels are allocated a value of zero (0). Second, ancillary data is then used to identify irrigation infrastructure to do two things: locate inundated pixels within off-river storages (ORS) by recoding to a value of (2) and to remove cropped areas that have similar spectral properties to wetland vegetation by coding the pixels to a value of zero (0). Third, for observation dates affected by cloud shadow, which is often incorrectly detected as water, pixels are manually reclassified as cloud shadow by recoding them to a value of three (3). The final inundation classes are inundated (1), off-river storages with water (ors) (2), cloud shadow (3), and not inundated (0). Final inundation maps are clipped to the inland floodplain wetland boundaries. The naming format of the files are: Wetland_date _sensor_inundation1_ors2_cloud3.tif or Wetland_path_date _sensor_inundation1_ors2_cloud3.tif Wetland: bm = Barmah Millewa floodplain gw = Gwydir floodplain lachlan = Lachlan floodplain lo = Lowbidgee floodplain mm = Macquarie Marshes floodplain Path: Specific to the Lachlan Date: Satellite image date processed Sensor: Sensor type- l7 (Landsat7; l8 (Landsat 8); s2 (Sentinel2) Inundation1: Inundated ors2: Off-River Storage with water cloud3: Cloud shadow (in filename if present) References: Fisher, A., Flood, N. and Danaher, T. (2016). Comparing Landsat water index methods for automated water classification in eastern Australia. Remote Sensing of Environment, 175, 167-182. Flood, N., Danaher, T., Gill, T., & Gillingham, S. (2013). An operational scheme for deriving standardised surface reflectance from Landsat TM/ETM+ and SPOT HRG imagery for eastern Australia. Remote Sensing, 5, 83–109. Thomas, R. F., Kingsford, R. T., Lu, Y., Cox, S. J., Sims, N. C. and Hunter, S. J., (2015). Mapping inundation in the heterogeneous floodplain wetlands of the Macquarie Marshes, using Landsat Thematic Mapper. Journal of Hydrology 524, 194-213.
to
Under the NSW DPIE-EES Environmental Water Management Program the distribution and extent of inundation is monitored in large inland floodplain wetland assets which are targeted for environmental flow delivery and located in the NSW portion of the Murray-Darling Basin: Gwydir wetlands, Lowbidgee floodplain, Lower Lachlan wetlands, Macquarie Marshes, Barmah-Millewa Forest and Narran Lakes (since 2022-2023). Inundation maps are derived from image observations sourced from the satellite data sources of Landsat (30m pixel) and Sentinel-2 (10m pixel) for the period July 2014-June 2019. Image observations are automatically downloaded by NSW DPIE from the USGS (Unites State Geological Survey’s Earth Explorer website (http://earthexplorer.usgs.gov ) and the Copernicus Sentinel Open Access Hub (https://scihub.copernicus.eu/dhus/#/home ) as orthorectified images. NSW DPIE process these images to standardised surface reflectance (Flood et al. 2013). Image observations with high cloud coverage (>50%) are not considered because they cannot be processed. The inundation mapping procedure is a modified version of Thomas et. al (2015) which is a method to map inundation in vegetated floodplain wetlands using an integrated spectral response to water and vigorous vegetation. From each satellite image observation NSW DPIE-EES automatically generates a water index (Fisher et al. 2016) and the NDVI vegetation index. These indices are used to allocate inundated pixels to classes of open water, mixed water and vegetation, and dense vegetation cover that was inundated (Thomas et al. 2015). A process of pixel recoding is conducted to produce each inundation map. First all inundation classes are merged and allocated a value of one (1) whilst all other pixels are allocated a value of zero (0). Second, ancillary data is then used to identify irrigation infrastructure to do two things: locate inundated pixels within off-river storages (ORS) by recoding to a value of (2) and to remove cropped areas that have similar spectral properties to wetland vegetation by coding the pixels to a value of zero (0). Third, for observation dates affected by cloud shadow, which is often incorrectly detected as water, pixels are manually reclassified as cloud shadow by recoding them to a value of three (3). The final inundation classes are inundated (1), off-river storages with water (ors) (2), cloud shadow (3), and not inundated (0). Final inundation maps are clipped to the inland floodplain wetland boundaries. The naming format of the files are: Wetland_date _sensor_inundation1_ors2_cloud3.tif or Wetland_path_date _sensor_inundation1_ors2_cloud3.tif Wetland: bm = Barmah Millewa floodplain gw = Gwydir floodplain lachlan = Lachlan floodplain lo = Lowbidgee floodplain mm = Macquarie Marshes floodplain Path: Specific to the Lachlan Date: Satellite image date processed Sensor: Sensor type- l7 (Landsat7; l8 (Landsat 8); s2 (Sentinel2) Inundation1: Inundated ors2: Off-River Storage with water cloud3: Cloud shadow (in filename if present) References: Fisher, A., Flood, N. and Danaher, T. (2016). Comparing Landsat water index methods for automated water classification in eastern Australia. Remote Sensing of Environment, 175, 167-182. Flood, N., Danaher, T., Gill, T., & Gillingham, S. (2013). An operational scheme for deriving standardised surface reflectance from Landsat TM/ETM+ and SPOT HRG imagery for eastern Australia. Remote Sensing, 5, 83–109. Thomas, R. F., Kingsford, R. T., Lu, Y., Cox, S. J., Sims, N. C. and Hunter, S. J., (2015). Mapping inundation in the heterogeneous floodplain wetlands of the Macquarie Marshes, using Landsat Thematic Mapper. Journal of Hydrology 524, 194-213.

Added resource 2021-2022 inundation maps to Inundation Maps for NSW Inland Floodplain Wetlands

Added resource Data Quality Statement to Inundation Maps for NSW Inland Floodplain Wetlands

Added resource 2014-2019 Inundation Maps to Inundation Maps for NSW Inland Floodplain Wetlands

Added resource 2022-2023 inundation maps to Inundation Maps for NSW Inland Floodplain Wetlands

Added resource 2019-2021 inundation maps to Inundation Maps for NSW Inland Floodplain Wetlands

Deleted resource 2021-2022 inundation maps from Inundation Maps for NSW Inland Floodplain Wetlands

Deleted resource Data Quality Statement from Inundation Maps for NSW Inland Floodplain Wetlands

Deleted resource 2019-2021 inundation maps from Inundation Maps for NSW Inland Floodplain Wetlands

Deleted resource 2014-2019 Inundation Maps from Inundation Maps for NSW Inland Floodplain Wetlands

              
    
          
          
        
        
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            26   "name": "inundation-maps-for-nsw-inland-floodplain-wetlands", 26   "name": "inundation-maps-for-nsw-inland-floodplain-wetlands",
            27   "notes": "Under the NSW DPIE-EES Environmental Water Management  27   "notes": "Under the NSW DPIE-EES Environmental Water Management 
            28 Program the distribution and extent of inundation is monitored in  28 Program the distribution and extent of inundation is monitored in 
            29 large inland floodplain wetland assets which are targeted for  29 large inland floodplain wetland assets which are targeted for 
            30 environmental flow delivery and located in the NSW portion of the  30 environmental flow delivery and located in the NSW portion of the 
            31 Murray-Darling Basin: Gwydir wetlands, Lowbidgee floodplain, Lower  31 Murray-Darling Basin: Gwydir wetlands, Lowbidgee floodplain, Lower 
            n 32 Lachlan wetlands, Macquarie Marshes, and Barmah-Millewa Forest.  n 32 Lachlan wetlands, Macquarie Marshes, Barmah-Millewa Forest and Narran 
            33 Inundation maps are derived from image observations sourced from the  33 Lakes (since 2022-2023). Inundation maps are derived from image 
            34 satellite data sources of Landsat (30m pixel) and Sentinel-2 (10m  34 observations sourced from the satellite data sources of Landsat (30m 
            35 pixel) for the period July 2014-June 2019. Image observations are  35 pixel) and Sentinel-2 (10m pixel) for the period July 2014-June 2019. 
            36 automatically downloaded by NSW DPIE from the USGS (Unites State  36 Image observations are automatically downloaded by NSW DPIE from the 
            37 Geological Survey\u2019s Earth Explorer website  37 USGS (Unites State Geological Survey\u2019s Earth Explorer website 
            38 (http://earthexplorer.usgs.gov ) and the Copernicus Sentinel Open  38 (http://earthexplorer.usgs.gov ) and the Copernicus Sentinel Open 
            39 Access Hub (https://scihub.copernicus.eu/dhus/#/home ) as  39 Access Hub (https://scihub.copernicus.eu/dhus/#/home ) as 
            40 orthorectified images. NSW DPIE process these images to standardised  40 orthorectified images. NSW DPIE process these images to standardised 
            41 surface reflectance (Flood et al. 2013). Image observations with high  41 surface reflectance (Flood et al. 2013). Image observations with high 
            42 cloud coverage (>50%) are not considered because they cannot be  42 cloud coverage (>50%) are not considered because they cannot be 
            43 processed. The inundation mapping procedure is a modified version of  43 processed. The inundation mapping procedure is a modified version of 
            44 Thomas et. al (2015) which is a method to map inundation in vegetated  44 Thomas et. al (2015) which is a method to map inundation in vegetated 
            45 floodplain wetlands using an integrated spectral response to water and  45 floodplain wetlands using an integrated spectral response to water and 
            46 vigorous vegetation. From each satellite image observation NSW  46 vigorous vegetation. From each satellite image observation NSW 
            47 DPIE-EES automatically generates a water index (Fisher et al. 2016)  47 DPIE-EES automatically generates a water index (Fisher et al. 2016) 
            48 and the NDVI vegetation index. These indices are used to allocate  48 and the NDVI vegetation index. These indices are used to allocate 
            49 inundated pixels to classes of open water, mixed water and vegetation,  49 inundated pixels to classes of open water, mixed water and vegetation, 
            50 and dense vegetation cover that was inundated (Thomas et al. 2015). A  50 and dense vegetation cover that was inundated (Thomas et al. 2015). A 
            51 process of pixel recoding is conducted to produce each inundation map.   51 process of pixel recoding is conducted to produce each inundation map.  
            52 First all inundation classes are merged and allocated a value of one  52 First all inundation classes are merged and allocated a value of one 
            53 (1) whilst all other pixels are allocated a value of zero (0). Second,  53 (1) whilst all other pixels are allocated a value of zero (0). Second, 
            54 ancillary data is then used to identify irrigation infrastructure to  54 ancillary data is then used to identify irrigation infrastructure to 
            55 do two things: locate inundated pixels within off-river storages (ORS)  55 do two things: locate inundated pixels within off-river storages (ORS) 
            56 by recoding to a value of (2) and to remove cropped areas that have  56 by recoding to a value of (2) and to remove cropped areas that have 
            57 similar spectral properties to wetland vegetation by coding the pixels  57 similar spectral properties to wetland vegetation by coding the pixels 
            58 to a value of zero (0). Third, for observation dates affected by cloud  58 to a value of zero (0). Third, for observation dates affected by cloud 
            59 shadow, which is often incorrectly detected as water, pixels are  59 shadow, which is often incorrectly detected as water, pixels are 
            60 manually reclassified as cloud shadow by recoding them to a value of  60 manually reclassified as cloud shadow by recoding them to a value of 
            61 three (3). The final inundation classes are inundated (1), off-river  61 three (3). The final inundation classes are inundated (1), off-river 
            62 storages with water (ors) (2), cloud shadow (3), and not inundated  62 storages with water (ors) (2), cloud shadow (3), and not inundated 
            63 (0). Final inundation maps are clipped to the inland floodplain  63 (0). Final inundation maps are clipped to the inland floodplain 
            64 wetland boundaries.\r\n\r\nThe naming format of the files  64 wetland boundaries.\r\n\r\nThe naming format of the files 
            65 are:\r\nWetland_date _sensor_inundation1_ors2_cloud3.tif or  65 are:\r\nWetland_date _sensor_inundation1_ors2_cloud3.tif or 
            66 Wetland_path_date  66 Wetland_path_date 
            67 _sensor_inundation1_ors2_cloud3.tif\r\n\r\nWetland:\r\nbm = Barmah  67 _sensor_inundation1_ors2_cloud3.tif\r\n\r\nWetland:\r\nbm = Barmah 
            68 Millewa floodplain\r\ngw = Gwydir floodplain\r\nlachlan = Lachlan  68 Millewa floodplain\r\ngw = Gwydir floodplain\r\nlachlan = Lachlan 
            69 floodplain\r\nlo = Lowbidgee floodplain\r\nmm = Macquarie Marshes  69 floodplain\r\nlo = Lowbidgee floodplain\r\nmm = Macquarie Marshes 
            70 floodplain\r\n\r\nPath: Specific to the Lachlan\r\nDate: Satellite  70 floodplain\r\n\r\nPath: Specific to the Lachlan\r\nDate: Satellite 
            71 image date processed\r\nSensor: Sensor type- l7 (Landsat7; l8 (Landsat  71 image date processed\r\nSensor: Sensor type- l7 (Landsat7; l8 (Landsat 
            72 8); s2 (Sentinel2)\r\nInundation1: Inundated\r\nors2: Off-River  72 8); s2 (Sentinel2)\r\nInundation1: Inundated\r\nors2: Off-River 
            73 Storage with water\r\ncloud3: Cloud shadow (in filename if  73 Storage with water\r\ncloud3: Cloud shadow (in filename if 
            74 present)\r\n\r\nReferences:\r\nFisher, A., Flood, N. and Danaher, T.  74 present)\r\n\r\nReferences:\r\nFisher, A., Flood, N. and Danaher, T. 
            75 (2016). Comparing Landsat water index methods for automated water  75 (2016). Comparing Landsat water index methods for automated water 
            76 classification in eastern Australia. Remote Sensing of Environment,  76 classification in eastern Australia. Remote Sensing of Environment, 
            77 175, 167-182.\r\n\r\nFlood, N., Danaher, T., Gill, T., & Gillingham,  77 175, 167-182.\r\n\r\nFlood, N., Danaher, T., Gill, T., & Gillingham, 
            78 S. (2013). An operational scheme for deriving standardised surface  78 S. (2013). An operational scheme for deriving standardised surface 
            79 reflectance from Landsat TM/ETM+ and SPOT HRG imagery for eastern  79 reflectance from Landsat TM/ETM+ and SPOT HRG imagery for eastern 
            80 Australia. Remote Sensing, 5, 83\u2013109.\r\n\r\nThomas, R. F.,  80 Australia. Remote Sensing, 5, 83\u2013109.\r\n\r\nThomas, R. F., 
            81 Kingsford, R. T., Lu, Y., Cox, S. J., Sims, N. C. and Hunter, S. J.,  81 Kingsford, R. T., Lu, Y., Cox, S. J., Sims, N. C. and Hunter, S. J., 
            82 (2015). Mapping inundation in the heterogeneous floodplain wetlands of  82 (2015). Mapping inundation in the heterogeneous floodplain wetlands of 
            83 the Macquarie Marshes, using Landsat Thematic Mapper. Journal of  83 the Macquarie Marshes, using Landsat Thematic Mapper. Journal of 
            84 Hydrology 524, 194-213.\r\n", 84 Hydrology 524, 194-213.\r\n",
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