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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

80 results

Time (local)	Label
2013-04-01 10:12:02	ga_ls8c_ard_3-0-0_099078_2013-04-01_final
2013-07-16 11:46:36	ga_ls8c_ard_3-0-0_114074_2013-07-16_final
2013-12-21 10:18:22	ga_ls8c_ard_3-0-0_100071_2013-12-21_final
2014-03-05 10:54:33	ga_ls8c_ard_3-0-0_106071_2014-03-05_final
2014-03-23 10:46:23	ga_ls8c_ard_3-0-0_104082_2014-03-23_final
2014-06-16 10:59:29	ga_ls8c_ard_3-0-0_107070_2014-06-16_final
2014-11-26 11:34:03	ga_ls8c_ard_3-0-0_112078_2014-11-26_final
2014-12-31 10:27:30	ga_ls8c_ard_3-0-0_101082_2014-12-31_final
2015-01-01 09:31:52	ga_ls8c_ard_3-0-0_092082_2015-01-01_final
2015-01-29 11:31:25	ga_ls8c_ard_3-0-0_112072_2015-01-29_final
2015-04-28 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-04-28_final
2015-07-14 09:21:26	ga_ls8c_ard_3-0-0_090088_2015-07-13_final
2015-09-05 09:39:52	ga_ls8c_ard_3-0-0_093087_2015-09-05_final
2015-09-07 09:22:20	ga_ls8c_ard_3-0-0_091074_2015-09-06_final
2015-11-29 11:29:38	ga_ls8c_ard_3-0-0_112067_2015-11-29_final
2016-02-10 09:44:24	ga_ls8c_ard_3-0-0_095067_2016-02-10_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-06-01 09:52:03	ga_ls8c_ard_3-0-0_095087_2016-06-01_final
2016-07-25 09:12:07	ga_ls8c_ard_3-0-0_089079_2016-07-24_final
2016-08-16 10:09:12	ga_ls8c_ard_3-0-0_099067_2016-08-16_final
2016-09-30 09:44:27	ga_ls8c_ard_3-0-0_094082_2016-09-30_final
2016-12-28 11:11:58	ga_ls8c_ard_3-0-0_109069_2016-12-28_final
2017-01-06 09:30:03	ga_ls8c_ard_3-0-0_092077_2017-01-06_final
2017-02-25 10:52:16	ga_ls8c_ard_3-0-0_106067_2017-02-25_final
2017-03-04 11:04:47	ga_ls8c_ard_3-0-0_107083_2017-03-04_final
2017-03-12 10:08:53	ga_ls8c_ard_3-0-0_099067_2017-03-12_final
2017-07-06 11:24:41	ga_ls8c_ard_3-0-0_111071_2017-07-06_final
2017-07-28 09:12:03	ga_ls8c_ard_3-0-0_089079_2017-07-27_final
2017-08-19 10:15:35	ga_ls8c_ard_3-0-0_099083_2017-08-19_final
2017-10-14 09:26:46	ga_ls8c_ard_3-0-0_091084_2017-10-13_final
2017-12-01 09:23:25	ga_ls8c_ard_3-0-0_091076_2017-11-30_final
2017-12-22 11:18:07	ga_ls8c_ard_3-0-0_110069_2017-12-22_final
2018-04-27 11:28:41	ga_ls8c_ard_3-0-0_112067_2018-04-27_final
2018-05-12 10:48:03	ga_ls8c_ard_3-0-0_105074_2018-05-12_final
2018-06-26 10:17:54	ga_ls8c_ard_3-0-0_100076_2018-06-26_final
2018-07-15 10:48:10	ga_ls8c_ard_3-0-0_105074_2018-07-15_final
2018-10-27 09:57:04	ga_ls8c_ard_3-0-0_097068_2018-10-27_final
2018-12-24 10:35:43	ga_ls8c_ard_3-0-0_103072_2018-12-24_final
2019-03-19 10:52:23	ga_ls8c_ard_3-1-0_106068_2019-03-19_final
2019-05-15 10:48:34	ga_ls8c_ard_3-0-0_105074_2019-05-15_final
2019-06-03 11:18:51	ga_ls8c_ard_3-0-0_110072_2019-06-03_final
2019-06-28 09:33:56	ga_ls8c_ard_3-1-0_093072_2019-06-28_final
2019-07-09 10:55:31	ga_ls8c_ard_3-1-0_106075_2019-07-09_final
2019-09-04 10:50:00	ga_ls8c_ard_3-1-0_105076_2019-09-04_final
2019-10-09 09:40:36	ga_ls8c_ard_3-1-0_094072_2019-10-09_final
2019-10-10 10:27:51	ga_ls8c_ard_3-1-0_101082_2019-10-10_final
2019-11-03 09:40:49	ga_ls8c_ard_3-1-0_093088_2019-11-03_final
2020-01-18 11:37:49	ga_ls8c_ard_3-1-0_113072_2020-01-18_final
2020-01-22 11:14:40	ga_ls8c_ard_3-1-0_109076_2020-01-22_final
2020-02-21 11:29:41	ga_ls8c_ard_3-1-0_111083_2020-02-21_final
2020-03-22 11:35:27	ga_ls8c_ard_3-1-0_113067_2020-03-22_final
2020-05-05 10:24:54	ga_ls8c_ard_3-1-0_101077_2020-05-05_final
2020-06-12 11:25:42	ga_ls8c_ard_3-1-0_111074_2020-06-12_final
2020-06-24 10:13:15	ga_ls8c_ard_3-1-0_099078_2020-06-24_final
2020-09-09 09:40:26	ga_ls8c_ard_3-1-0_094072_2020-09-09_final
2020-09-18 09:39:53	ga_ls8c_ard_3-1-0_093086_2020-09-18_final
2020-09-24 10:36:08	ga_ls8c_ard_3-1-0_103072_2020-09-24_final
2020-10-24 10:46:57	ga_ls8c_ard_3-1-0_105068_2020-10-24_final
2020-12-30 11:18:12	ga_ls8c_ard_3-2-0_110069_2020-12-30_final
2021-03-05 10:23:02	ga_ls8c_ard_3-2-0_101071_2021-03-05_final
2021-03-14 10:18:22	ga_ls8c_ard_3-2-0_100075_2021-03-14_final
2021-04-27 10:45:36	ga_ls8c_ard_3-2-0_104082_2021-04-27_final
2021-05-17 10:18:30	ga_ls8c_ard_3-2-0_100076_2021-05-17_final
2021-06-15 09:51:02	ga_ls8c_ard_3-2-0_095084_2021-06-15_final
2021-07-01 11:25:35	ga_ls8c_ard_3-2-0_111073_2021-07-01_final
2021-08-15 09:21:38	ga_ls8c_ard_3-2-0_090087_2021-08-14_final
2021-08-18 09:52:33	ga_ls8c_ard_3-2-0_095087_2021-08-18_final
2022-01-05 11:52:15	ga_ls8c_ard_3-2-1_115077_2022-01-05_final
2022-04-27 10:09:42	ga_ls8c_ard_3-2-1_099069_2022-04-27_final
2022-06-04 09:33:41	ga_ls8c_ard_3-2-1_093071_2022-06-04_final
2022-08-21 11:30:37	ga_ls8c_ard_3-2-1_111084_2022-08-21_final
2022-10-27 10:19:56	ga_ls8c_ard_3-2-1_100077_2022-10-27_final
2023-01-12 11:26:03	ga_ls8c_ard_3-2-1_111073_2023-01-12_final
2023-02-07 10:23:27	ga_ls8c_ard_3-2-1_101071_2023-02-07_final
2023-02-13 11:25:58	ga_ls8c_ard_3-2-1_111073_2023-02-13_final
2023-02-26 10:54:26	ga_ls8c_ard_3-2-1_106072_2023-02-26_final
2023-07-23 11:23:50	ga_ls8c_ard_3-2-1_111069_2023-07-23_final
2023-10-17 10:49:33	ga_ls8c_ard_3-2-1_105075_2023-10-17_final
2023-10-25 09:58:10	ga_ls8c_ard_3-2-1_097070_2023-10-25_final
2024-03-19 11:25:52	ga_ls8c_ard_3-2-1_111074_2024-03-19_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