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On August 31, 2020 at 8:04:58 AM +1000, Link Digital:
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f | 1 | { | f | 1 | { |
2 | "author": null, | 2 | "author": null, | ||
3 | "author_email": null, | 3 | "author_email": null, | ||
4 | "creator_user_id": "8d2ac61a-d63a-4456-a00d-b35fee4c4025", | 4 | "creator_user_id": "8d2ac61a-d63a-4456-a00d-b35fee4c4025", | ||
5 | "id": "19918504-269e-4626-a45b-3d126c6de70c", | 5 | "id": "19918504-269e-4626-a45b-3d126c6de70c", | ||
6 | "license_id": "cc-by", | 6 | "license_id": "cc-by", | ||
7 | "maintainer": null, | 7 | "maintainer": null, | ||
8 | "maintainer_email": null, | 8 | "maintainer_email": null, | ||
9 | "metadata_created": "2020-08-30T22:04:55.751913", | 9 | "metadata_created": "2020-08-30T22:04:55.751913", | ||
t | 10 | "metadata_modified": "2020-08-30T22:04:55.751925", | t | 10 | "metadata_modified": "2020-08-30T22:04:57.795223", |
11 | "name": "inundation-maps-for-nsw-inland-floodplain-wetlands", | 11 | "name": "inundation-maps-for-nsw-inland-floodplain-wetlands", | ||
12 | "notes": "Under the NSW DPIE-EES Environmental Water Management | 12 | "notes": "Under the NSW DPIE-EES Environmental Water Management | ||
13 | Program the distribution and extent of inundation is monitored in | 13 | Program the distribution and extent of inundation is monitored in | ||
14 | large inland floodplain wetland assets which are targeted for | 14 | large inland floodplain wetland assets which are targeted for | ||
15 | environmental flow delivery and located in the NSW portion of the | 15 | environmental flow delivery and located in the NSW portion of the | ||
16 | Murray-Darling Basin: Gwydir wetlands, Lowbidgee floodplain, Lower | 16 | Murray-Darling Basin: Gwydir wetlands, Lowbidgee floodplain, Lower | ||
17 | Lachlan wetlands, Macquarie Marshes, and Barmah-Millewa Forest. | 17 | Lachlan wetlands, Macquarie Marshes, and Barmah-Millewa Forest. | ||
18 | Inundation maps are derived from image observations sourced from the | 18 | Inundation maps are derived from image observations sourced from the | ||
19 | satellite data sources of Landsat (30m pixel) and Sentinel-2 (10m | 19 | satellite data sources of Landsat (30m pixel) and Sentinel-2 (10m | ||
20 | pixel) for the period July 2014-June 2019. Image observations are | 20 | pixel) for the period July 2014-June 2019. Image observations are | ||
21 | automatically downloaded by NSW DPIE from the USGS (Unites State | 21 | automatically downloaded by NSW DPIE from the USGS (Unites State | ||
22 | Geological Survey\u2019s Earth Explorer website | 22 | Geological Survey\u2019s Earth Explorer website | ||
23 | (http://earthexplorer.usgs.gov ) and the Copernicus Sentinel Open | 23 | (http://earthexplorer.usgs.gov ) and the Copernicus Sentinel Open | ||
24 | Access Hub (https://scihub.copernicus.eu/dhus/#/home ) as | 24 | Access Hub (https://scihub.copernicus.eu/dhus/#/home ) as | ||
25 | orthorectified images. NSW DPIE process these images to standardised | 25 | orthorectified images. NSW DPIE process these images to standardised | ||
26 | surface reflectance (Flood et al. 2013). Image observations with high | 26 | surface reflectance (Flood et al. 2013). Image observations with high | ||
27 | cloud coverage (>50%) are not considered because they cannot be | 27 | cloud coverage (>50%) are not considered because they cannot be | ||
28 | processed. The inundation mapping procedure is a modified version of | 28 | processed. The inundation mapping procedure is a modified version of | ||
29 | Thomas et. al (2015) which is a method to map inundation in vegetated | 29 | Thomas et. al (2015) which is a method to map inundation in vegetated | ||
30 | floodplain wetlands using an integrated spectral response to water and | 30 | floodplain wetlands using an integrated spectral response to water and | ||
31 | vigorous vegetation. From each satellite image observation NSW | 31 | vigorous vegetation. From each satellite image observation NSW | ||
32 | DPIE-EES automatically generates a water index (Fisher et al. 2016) | 32 | DPIE-EES automatically generates a water index (Fisher et al. 2016) | ||
33 | and the NDVI vegetation index. These indices are used to allocate | 33 | and the NDVI vegetation index. These indices are used to allocate | ||
34 | inundated pixels to classes of open water, mixed water and vegetation, | 34 | inundated pixels to classes of open water, mixed water and vegetation, | ||
35 | and dense vegetation cover that was inundated (Thomas et al. 2015). A | 35 | and dense vegetation cover that was inundated (Thomas et al. 2015). A | ||
36 | process of pixel recoding is conducted to produce each inundation map. | 36 | process of pixel recoding is conducted to produce each inundation map. | ||
37 | First all inundation classes are merged and allocated a value of one | 37 | First all inundation classes are merged and allocated a value of one | ||
38 | (1) whilst all other pixels are allocated a value of zero (0). Second, | 38 | (1) whilst all other pixels are allocated a value of zero (0). Second, | ||
39 | ancillary data is then used to identify irrigation infrastructure to | 39 | ancillary data is then used to identify irrigation infrastructure to | ||
40 | do two things: locate inundated pixels within off-river storages (ORS) | 40 | do two things: locate inundated pixels within off-river storages (ORS) | ||
41 | by recoding to a value of (2) and to remove cropped areas that have | 41 | by recoding to a value of (2) and to remove cropped areas that have | ||
42 | similar spectral properties to wetland vegetation by coding the pixels | 42 | similar spectral properties to wetland vegetation by coding the pixels | ||
43 | to a value of zero (0). Third, for observation dates affected by cloud | 43 | to a value of zero (0). Third, for observation dates affected by cloud | ||
44 | shadow, which is often incorrectly detected as water, pixels are | 44 | shadow, which is often incorrectly detected as water, pixels are | ||
45 | manually reclassified as cloud shadow by recoding them to a value of | 45 | manually reclassified as cloud shadow by recoding them to a value of | ||
46 | three (3). The final inundation classes are inundated (1), off-river | 46 | three (3). The final inundation classes are inundated (1), off-river | ||
47 | storages with water (ors) (2), cloud shadow (3), and not inundated | 47 | storages with water (ors) (2), cloud shadow (3), and not inundated | ||
48 | (0). Final inundation maps are clipped to the inland floodplain | 48 | (0). Final inundation maps are clipped to the inland floodplain | ||
49 | wetland boundaries.\r\n\r\nThe naming format of the files | 49 | wetland boundaries.\r\n\r\nThe naming format of the files | ||
50 | are:\r\nWetland_date _sensor_inundation1_ors2_cloud3.tif or | 50 | are:\r\nWetland_date _sensor_inundation1_ors2_cloud3.tif or | ||
51 | Wetland_path_date | 51 | Wetland_path_date | ||
52 | _sensor_inundation1_ors2_cloud3.tif\r\n\r\nWetland:\r\nbm = Barmah | 52 | _sensor_inundation1_ors2_cloud3.tif\r\n\r\nWetland:\r\nbm = Barmah | ||
53 | Millewa floodplain\r\ngw = Gwydir floodplain\r\nlachlan = Lachlan | 53 | Millewa floodplain\r\ngw = Gwydir floodplain\r\nlachlan = Lachlan | ||
54 | floodplain\r\nlo = Lowbidgee floodplain\r\nmm = Macquarie Marshes | 54 | floodplain\r\nlo = Lowbidgee floodplain\r\nmm = Macquarie Marshes | ||
55 | floodplain\r\n\r\nPath: Specific to the Lachlan\r\nDate: Satellite | 55 | floodplain\r\n\r\nPath: Specific to the Lachlan\r\nDate: Satellite | ||
56 | image date processed\r\nSensor: Sensor type- l7 (Landsat7; l8 (Landsat | 56 | image date processed\r\nSensor: Sensor type- l7 (Landsat7; l8 (Landsat | ||
57 | 8); s2 (Sentinel2)\r\nInundation1: Inundated\r\nors2: Off-River | 57 | 8); s2 (Sentinel2)\r\nInundation1: Inundated\r\nors2: Off-River | ||
58 | Storage with water\r\ncloud3: Cloud shadow (in filename if | 58 | Storage with water\r\ncloud3: Cloud shadow (in filename if | ||
59 | present)\r\n\r\nReferences:\r\nFisher, A., Flood, N. and Danaher, T. | 59 | present)\r\n\r\nReferences:\r\nFisher, A., Flood, N. and Danaher, T. | ||
60 | (2016). Comparing Landsat water index methods for automated water | 60 | (2016). Comparing Landsat water index methods for automated water | ||
61 | classification in eastern Australia. Remote Sensing of Environment, | 61 | classification in eastern Australia. Remote Sensing of Environment, | ||
62 | 175, 167-182.\r\n\r\nFlood, N., Danaher, T., Gill, T., & Gillingham, | 62 | 175, 167-182.\r\n\r\nFlood, N., Danaher, T., Gill, T., & Gillingham, | ||
63 | S. (2013). An operational scheme for deriving standardised surface | 63 | S. (2013). An operational scheme for deriving standardised surface | ||
64 | reflectance from Landsat TM/ETM+ and SPOT HRG imagery for eastern | 64 | reflectance from Landsat TM/ETM+ and SPOT HRG imagery for eastern | ||
65 | Australia. Remote Sensing, 5, 83\u2013109.\r\n\r\nThomas, R. F., | 65 | Australia. Remote Sensing, 5, 83\u2013109.\r\n\r\nThomas, R. F., | ||
66 | Kingsford, R. T., Lu, Y., Cox, S. J., Sims, N. C. and Hunter, S. J., | 66 | Kingsford, R. T., Lu, Y., Cox, S. J., Sims, N. C. and Hunter, S. J., | ||
67 | (2015). Mapping inundation in the heterogeneous floodplain wetlands of | 67 | (2015). Mapping inundation in the heterogeneous floodplain wetlands of | ||
68 | the Macquarie Marshes, using Landsat Thematic Mapper. Journal of | 68 | the Macquarie Marshes, using Landsat Thematic Mapper. Journal of | ||
69 | Hydrology 524, 194-213.\r\n", | 69 | Hydrology 524, 194-213.\r\n", | ||
70 | "owner_org": "da61219b-ad9a-4667-bb71-7fa5f99333b1", | 70 | "owner_org": "da61219b-ad9a-4667-bb71-7fa5f99333b1", | ||
71 | "private": false, | 71 | "private": false, | ||
72 | "revision_id": "d07f56e0-e302-441e-af6b-3ca9912c034a", | 72 | "revision_id": "d07f56e0-e302-441e-af6b-3ca9912c034a", | ||
73 | "state": "active", | 73 | "state": "active", | ||
74 | "title": "Inundation Maps for NSW Inland Floodplain Wetlands", | 74 | "title": "Inundation Maps for NSW Inland Floodplain Wetlands", | ||
75 | "type": "dataset", | 75 | "type": "dataset", | ||
76 | "url": "", | 76 | "url": "", | ||
77 | "version": null | 77 | "version": null | ||
78 | } | 78 | } |