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The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

81 results

Time (local)	Label
2013-08-12 09:46:25	ga_ls8c_ard_3-0-0_095067_2013-08-12_final
2013-12-20 11:17:11	ga_ls8c_ard_3-0-0_109079_2013-12-20_final
2014-08-19 11:04:14	ga_ls8c_ard_3-0-0_107081_2014-08-19_final
2014-10-02 11:24:39	ga_ls8c_ard_3-0-0_111070_2014-10-02_final
2014-10-25 11:29:41	ga_ls8c_ard_3-0-0_112067_2014-10-25_final
2014-12-12 09:58:14	ga_ls8c_ard_3-0-0_096086_2014-12-12_final
2014-12-19 10:00:29	ga_ls8c_ard_3-0-0_097076_2014-12-19_final
2014-12-30 11:19:09	ga_ls8c_ard_3-0-0_110072_2014-12-30_final
2015-01-17 09:28:40	ga_ls8c_ard_3-0-0_092074_2015-01-16_final
2015-02-13 09:13:56	ga_ls8c_ard_3-0-0_089084_2015-02-12_final
2015-03-29 11:13:35	ga_ls8c_ard_3-0-0_109075_2015-03-29_final
2015-06-18 10:18:12	ga_ls8c_ard_3-0-0_100076_2015-06-18_final
2015-08-08 09:10:09	ga_ls8c_ard_3-0-0_089075_2015-08-07_final
2015-12-24 11:30:13	ga_ls8c_ard_3-0-0_111084_2015-12-24_final
2015-12-25 10:33:00	ga_ls8c_ard_3-0-0_102080_2015-12-25_final
2016-01-14 10:03:26	ga_ls8c_ard_3-0-0_098068_2016-01-14_final
2016-04-23 09:39:45	ga_ls8c_ard_3-0-0_094072_2016-04-23_final
2016-05-22 09:11:43	ga_ls8c_ard_3-0-0_089079_2016-05-21_final
2016-10-06 10:40:42	ga_ls8c_ard_3-0-0_104068_2016-10-06_final
2016-11-13 11:42:10	ga_ls8c_ard_3-0-0_114067_2016-11-13_final
2017-02-08 11:51:11	ga_ls8c_ard_3-0-0_115075_2017-02-08_final
2017-02-19 09:58:05	ga_ls8c_ard_3-0-0_096086_2017-02-19_final
2017-03-20 09:19:45	ga_ls8c_ard_3-0-0_091068_2017-03-19_final
2017-05-02 10:45:17	ga_ls8c_ard_3-0-0_104082_2017-05-02_final
2017-05-05 09:33:44	ga_ls8c_ard_3-0-0_093073_2017-05-05_final
2017-07-06 11:23:29	ga_ls8c_ard_3-0-0_111068_2017-07-06_final
2017-07-19 09:22:09	ga_ls8c_ard_3-0-0_090089_2017-07-18_final
2017-12-27 11:39:49	ga_ls8c_ard_3-0-0_113077_2017-12-27_final
2018-01-10 10:10:25	ga_ls8c_ard_3-0-0_099070_2018-01-10_final
2018-01-26 11:52:21	ga_ls8c_ard_3-0-0_115078_2018-01-26_final
2018-03-28 11:17:23	ga_ls8c_ard_3-0-0_110069_2018-03-28_final
2018-04-09 10:08:43	ga_ls8c_ard_3-0-0_098083_2018-04-09_final
2018-04-26 09:15:19	ga_ls8c_ard_3-0-0_089089_2018-04-25_final
2018-06-24 10:27:03	ga_ls8c_ard_3-0-0_102068_2018-06-24_final
2018-06-25 09:33:50	ga_ls8c_ard_3-0-0_093074_2018-06-25_final
2018-08-17 09:51:14	ga_ls8c_ard_3-0-0_096070_2018-08-17_final
2018-09-08 09:20:17	ga_ls8c_ard_3-0-0_090085_2018-09-07_final
2018-10-15 09:39:04	ga_ls8c_ard_3-0-0_093085_2018-10-15_final
2018-10-19 09:16:22	ga_ls8c_ard_3-0-0_089090_2018-10-18_final
2018-10-19 10:52:03	ga_ls8c_ard_3-0-0_105082_2018-10-19_final
2018-10-26 09:20:35	ga_ls8c_ard_3-0-0_090085_2018-10-25_final
2019-01-07 09:11:59	ga_ls8c_ard_3-0-0_089079_2019-01-06_final
2019-04-07 09:46:19	ga_ls8c_ard_3-1-0_095073_2019-04-07_final
2019-05-10 10:27:35	ga_ls8c_ard_3-0-0_102068_2019-05-10_final
2019-08-04 09:57:27	ga_ls8c_ard_3-1-0_096084_2019-08-04_final
2019-09-22 10:39:45	ga_ls8c_ard_3-1-0_103081_2019-09-22_final
2019-10-28 10:16:18	ga_ls8c_ard_3-1-0_099084_2019-10-28_final
2019-12-15 10:11:25	ga_ls8c_ard_3-2-0_099072_2019-12-15_final
2020-01-27 11:29:35	ga_ls8c_ard_3-1-0_112067_2020-01-27_final
2020-01-31 09:31:33	ga_ls8c_ard_3-1-0_092081_2020-01-31_final
2020-02-15 10:23:55	ga_ls8c_ard_3-1-0_101073_2020-02-15_final
2020-03-30 09:11:26	ga_ls8c_ard_3-1-0_089078_2020-03-29_final
2020-04-26 10:30:46	ga_ls8c_ard_3-1-0_102076_2020-04-26_final
2020-06-14 11:17:21	ga_ls8c_ard_3-1-0_109084_2020-06-14_final
2020-07-03 11:44:25	ga_ls8c_ard_3-1-0_114074_2020-07-03_final
2020-09-21 10:05:13	ga_ls8c_ard_3-1-0_098072_2020-09-21_final
2020-10-09 11:31:48	ga_ls8c_ard_3-1-0_112072_2020-10-09_final
2020-12-02 09:21:50	ga_ls8c_ard_3-1-0_090087_2020-12-01_final
2021-01-09 11:57:37	ga_ls8c_ard_3-2-0_116075_2021-01-09_final
2021-02-14 09:50:40	ga_ls8c_ard_3-2-0_096067_2021-02-14_final
2021-03-14 10:18:22	ga_ls8c_ard_3-2-0_100075_2021-03-14_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-06-22 11:29:20	ga_ls8c_ard_3-2-0_112067_2021-06-22_final
2021-08-31 09:21:19	ga_ls8c_ard_3-2-0_090086_2021-08-30_final
2021-10-16 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-10-16_final
2021-10-29 10:36:17	ga_ls8c_ard_3-2-0_103072_2021-10-29_final
2021-11-05 10:46:26	ga_ls8c_ard_3-2-0_104082_2021-11-05_final
2021-11-09 10:17:18	ga_ls8c_ard_3-2-0_100071_2021-11-09_final
2022-04-20 10:04:46	ga_ls8c_ard_3-2-1_098072_2022-04-20_final
2022-05-19 09:34:47	ga_ls8c_ard_3-2-1_093074_2022-05-19_final
2022-05-26 11:19:50	ga_ls8c_ard_3-2-1_110074_2022-05-26_final
2022-09-13 09:57:59	ga_ls8c_ard_3-2-1_096084_2022-09-13_final
2022-09-17 09:34:29	ga_ls8c_ard_3-2-1_092087_2022-09-17_final
2022-10-13 10:05:03	ga_ls8c_ard_3-2-1_098071_2022-10-13_final
2022-10-24 11:24:42	ga_ls8c_ard_3-2-1_111069_2022-10-24_final
2022-11-15 09:11:04	ga_ls8c_ard_3-2-1_089075_2022-11-14_final
2023-01-03 09:52:12	ga_ls8c_ard_3-2-1_096070_2023-01-03_final
2023-04-11 11:19:28	ga_ls8c_ard_3-2-1_110074_2023-04-11_final
2023-06-10 10:03:10	ga_ls8c_ard_3-2-1_098069_2023-06-10_final
2023-11-10 11:38:34	ga_ls8c_ard_3-2-1_113074_2023-11-10_final
2024-01-22 11:36:20	ga_ls8c_ard_3-2-1_112084_2024-01-22_final

Return to ga_ls8c_ard_3 whole collection overview

ga_ls8c_ard_3: Geoscience Australia Landsat 8 Operational Land Imager and Thermal Infra-Red Scanner Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years