Search ga_ls8c_ard_3 whole collection

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

87 results

Time (local)	Label
2013-08-17 10:11:21	ga_ls8c_ard_3-0-0_098083_2013-08-17_final
2014-01-04 10:30:14	ga_ls8c_ard_3-0-0_102070_2014-01-04_final
2014-03-31 11:35:41	ga_ls8c_ard_3-0-0_112082_2014-03-31_final
2014-05-08 10:52:01	ga_ls8c_ard_3-0-0_106067_2014-05-08_final
2014-05-12 10:32:50	ga_ls8c_ard_3-0-0_102081_2014-05-12_final
2014-07-08 10:24:07	ga_ls8c_ard_3-0-0_101074_2014-07-08_final
2014-11-05 09:34:39	ga_ls8c_ard_3-0-0_093073_2014-11-05_final
2014-11-18 09:06:31	ga_ls8c_ard_3-0-0_088080_2014-11-17_final
2014-12-05 09:52:09	ga_ls8c_ard_3-0-0_095086_2014-12-05_final
2015-02-12 10:06:22	ga_ls8c_ard_3-0-0_098076_2015-02-12_final
2015-04-07 11:10:31	ga_ls8c_ard_3-0-0_108083_2015-04-07_final
2015-04-26 09:56:29	ga_ls8c_ard_3-0-0_097068_2015-04-26_final
2015-05-30 11:22:46	ga_ls8c_ard_3-0-0_111068_2015-05-30_final
2015-06-02 10:16:50	ga_ls8c_ard_3-0-0_100073_2015-06-02_final
2015-06-22 11:28:47	ga_ls8c_ard_3-0-0_112067_2015-06-22_final
2015-07-09 10:39:20	ga_ls8c_ard_3-0-0_103082_2015-07-09_final
2015-07-24 11:35:51	ga_ls8c_ard_3-0-0_112084_2015-07-24_final
2015-09-15 11:52:20	ga_ls8c_ard_3-0-0_115078_2015-09-15_final
2015-10-18 10:57:36	ga_ls8c_ard_3-0-0_106080_2015-10-18_final
2016-05-26 10:25:07	ga_ls8c_ard_3-0-0_101077_2016-05-26_final
2016-07-04 10:27:56	ga_ls8c_ard_3-0-0_102068_2016-07-04_final
2016-07-04 10:33:32	ga_ls8c_ard_3-0-0_102082_2016-07-04_final
2016-07-16 10:52:21	ga_ls8c_ard_3-0-0_106067_2016-07-16_final
2016-10-03 10:10:59	ga_ls8c_ard_3-0-0_099071_2016-10-03_final
2016-10-14 11:31:47	ga_ls8c_ard_3-0-0_112072_2016-10-14_final
2016-11-03 09:28:12	ga_ls8c_ard_3-0-0_092072_2016-11-02_final
2016-11-29 11:46:10	ga_ls8c_ard_3-0-0_114077_2016-11-29_final
2017-01-18 11:31:37	ga_ls8c_ard_3-0-0_112072_2017-01-18_final
2017-01-21 10:27:36	ga_ls8c_ard_3-0-0_101082_2017-01-21_final
2017-02-12 11:25:14	ga_ls8c_ard_3-0-0_111072_2017-02-12_final
2017-02-25 10:52:40	ga_ls8c_ard_3-0-0_106068_2017-02-25_final
2017-05-25 10:48:56	ga_ls8c_ard_3-0-0_105075_2017-05-25_final
2017-06-08 09:27:20	ga_ls8c_ard_3-0-0_091087_2017-06-07_final
2017-11-22 09:34:03	ga_ls8c_ard_3-0-0_092087_2017-11-22_final
2017-11-26 09:06:54	ga_ls8c_ard_3-1-0_088081_2017-11-25_final
2018-01-02 11:01:31	ga_ls8c_ard_3-0-0_107074_2018-01-02_final
2018-01-20 09:10:08	ga_ls8c_ard_3-0-0_089074_2018-01-19_final
2018-05-26 09:20:33	ga_ls8c_ard_3-0-0_091072_2018-05-25_final
2018-07-09 09:45:31	ga_ls8c_ard_3-0-0_095072_2018-07-09_final
2018-09-19 10:39:04	ga_ls8c_ard_3-0-0_103081_2018-09-19_final
2018-10-06 11:23:16	ga_ls8c_ard_3-0-0_110083_2018-10-06_final
2018-10-14 10:28:18	ga_ls8c_ard_3-0-0_102069_2018-10-14_final
2018-11-11 09:17:02	ga_ls8c_ard_3-0-0_090076_2018-11-10_final
2019-01-01 11:24:22	ga_ls8c_ard_3-0-0_111070_2019-01-01_final
2019-01-28 09:29:14	ga_ls8c_ard_3-0-0_092076_2019-01-27_final
2019-04-03 10:08:40	ga_ls8c_ard_3-1-0_099067_2019-04-03_final
2019-04-26 10:16:17	ga_ls8c_ard_3-0-0_100071_2019-04-26_final
2019-05-11 11:16:51	ga_ls8c_ard_3-0-0_109083_2019-05-11_final
2019-07-10 11:37:35	ga_ls8c_ard_3-1-0_113072_2019-07-10_final
2019-07-22 10:25:27	ga_ls8c_ard_3-1-0_101077_2019-07-22_final
2019-08-17 09:27:49	ga_ls8c_ard_3-1-0_091087_2019-08-16_final
2019-08-30 10:30:39	ga_ls8c_ard_3-1-0_102074_2019-08-30_final
2019-10-18 09:40:01	ga_ls8c_ard_3-1-0_093086_2019-10-18_final
2020-04-09 09:44:03	ga_ls8c_ard_3-1-0_095067_2020-04-09_final
2020-05-22 11:08:11	ga_ls8c_ard_3-1-0_108077_2020-05-22_final
2020-06-06 10:22:38	ga_ls8c_ard_3-1-0_101071_2020-06-06_final
2020-07-30 11:24:26	ga_ls8c_ard_3-1-0_111070_2020-07-30_final
2020-08-19 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-08-18_final
2020-10-11 09:46:09	ga_ls8c_ard_3-1-0_094086_2020-10-11_final
2020-10-24 10:51:20	ga_ls8c_ard_3-1-0_105079_2020-10-24_final
2020-12-17 10:09:28	ga_ls8c_ard_3-2-0_099067_2020-12-17_final
2021-03-06 11:07:53	ga_ls8c_ard_3-2-0_108075_2021-03-06_final
2021-04-01 11:47:12	ga_ls8c_ard_3-2-0_114081_2021-04-01_final
2021-05-24 10:25:09	ga_ls8c_ard_3-2-0_101077_2021-05-24_final
2021-07-14 10:55:29	ga_ls8c_ard_3-2-0_106075_2021-07-14_final
2021-09-24 10:07:15	ga_ls8c_ard_3-2-0_098077_2021-09-24_final
2021-11-26 11:05:19	ga_ls8c_ard_3-2-0_107083_2021-11-26_final
2021-12-03 11:06:19	ga_ls8c_ard_3-2-0_108070_2021-12-03_final
2022-05-19 11:13:16	ga_ls8c_ard_3-2-1_109073_2022-05-19_final
2022-05-22 10:04:05	ga_ls8c_ard_3-2-1_098070_2022-05-22_final
2022-09-17 09:30:06	ga_ls8c_ard_3-2-1_092076_2022-09-17_final
2022-10-27 10:21:55	ga_ls8c_ard_3-2-1_100082_2022-10-27_final
2023-01-19 09:58:28	ga_ls8c_ard_3-2-1_096086_2023-01-19_final
2023-04-04 09:35:22	ga_ls8c_ard_3-2-1_093076_2023-04-04_final
2023-04-11 11:17:28	ga_ls8c_ard_3-2-1_110069_2023-04-11_final
2023-04-20 09:33:57	ga_ls8c_ard_3-2-1_093073_2023-04-20_final
2023-06-25 11:04:52	ga_ls8c_ard_3-2-1_107084_2023-06-25_final
2023-07-01 10:25:53	ga_ls8c_ard_3-2-1_101079_2023-07-01_final
2023-07-09 11:13:48	ga_ls8c_ard_3-2-1_109075_2023-07-09_final
2023-10-24 09:22:52	ga_ls8c_ard_3-2-1_090090_2023-10-23_final
2023-11-01 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-11-01_final
2023-11-28 09:46:38	ga_ls8c_ard_3-2-1_095072_2023-11-28_final
2023-12-03 10:05:07	ga_ls8c_ard_3-2-1_098072_2023-12-03_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_2024-02-03_final
2024-02-04 09:23:22	ga_ls8c_ard_3-2-1_091076_2024-02-03_final
2024-03-23 09:21:48	ga_ls8c_ard_3-2-1_091073_2024-03-22_final
2024-03-26 09:52:13	ga_ls8c_ard_3-2-1_096072_2024-03-26_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years