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

First 100 results (query limit)

Time (local)	Label
2013-05-02 10:24:53	ga_ls8c_ard_3-0-0_101071_2013-05-02_final
2013-07-03 10:37:49	ga_ls8c_ard_3-0-0_103072_2013-07-03_final
2013-07-06 11:13:31	ga_ls8c_ard_3-0-0_108084_2013-07-06_final
2013-07-09 10:02:45	ga_ls8c_ard_3-0-0_097077_2013-07-09_final
2013-08-17 10:11:45	ga_ls8c_ard_3-0-0_098084_2013-08-17_final
2014-03-23 10:46:23	ga_ls8c_ard_3-0-0_104082_2014-03-23_final
2014-04-07 09:57:43	ga_ls8c_ard_3-0-0_097069_2014-04-07_final
2014-04-20 11:10:15	ga_ls8c_ard_3-0-0_108081_2014-04-20_final
2014-05-31 09:21:40	ga_ls8c_ard_3-0-0_091073_2014-05-30_final
2015-01-24 11:11:40	ga_ls8c_ard_3-0-0_109069_2015-01-24_final
2015-03-23 10:14:40	ga_ls8c_ard_3-0-0_099082_2015-03-23_final
2015-04-07 09:28:26	ga_ls8c_ard_3-0-0_092075_2015-04-06_final
2015-04-24 10:12:51	ga_ls8c_ard_3-0-0_099078_2015-04-24_final
2015-06-13 09:57:14	ga_ls8c_ard_3-0-0_097070_2015-06-13_final
2015-06-22 11:31:35	ga_ls8c_ard_3-0-0_112074_2015-06-22_final
2015-08-02 09:51:37	ga_ls8c_ard_3-0-0_095086_2015-08-02_final
2015-08-21 10:17:28	ga_ls8c_ard_3-0-0_100073_2015-08-21_final
2015-08-25 09:57:09	ga_ls8c_ard_3-0-0_096084_2015-08-25_final
2015-09-28 11:17:55	ga_ls8c_ard_3-0-0_110069_2015-09-28_final
2015-10-03 09:57:11	ga_ls8c_ard_3-0-0_097068_2015-10-03_final
2015-12-04 10:15:39	ga_ls8c_ard_3-0-0_099083_2015-12-04_final
2016-04-09 09:28:17	ga_ls8c_ard_3-0-0_092074_2016-04-08_final
2016-04-14 11:25:41	ga_ls8c_ard_3-0-0_111074_2016-04-14_final
2016-04-25 11:09:51	ga_ls8c_ard_3-0-0_108081_2016-04-25_final
2016-05-13 10:52:43	ga_ls8c_ard_3-0-0_106069_2016-05-13_final
2016-05-28 10:15:33	ga_ls8c_ard_3-0-0_099084_2016-05-28_final
2016-06-10 09:39:55	ga_ls8c_ard_3-0-0_094072_2016-06-10_final
2016-09-12 11:31:42	ga_ls8c_ard_3-0-0_112072_2016-09-12_final
2016-09-18 10:53:01	ga_ls8c_ard_3-0-0_106068_2016-09-18_final
2016-10-03 10:13:46	ga_ls8c_ard_3-0-0_099078_2016-10-03_final
2016-12-20 10:28:07	ga_ls8c_ard_3-0-0_101083_2016-12-20_final
2017-04-13 10:09:48	ga_ls8c_ard_3-0-0_099070_2017-04-13_final
2017-05-10 11:28:50	ga_ls8c_ard_3-0-0_112067_2017-05-10_final
2017-06-12 10:37:08	ga_ls8c_ard_3-0-0_103076_2017-06-12_final
2017-07-11 10:07:08	ga_ls8c_ard_3-0-0_098078_2017-07-11_final
2017-07-13 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-07-13_final
2017-07-25 10:16:49	ga_ls8c_ard_3-0-0_100071_2017-07-25_final
2017-08-05 11:42:02	ga_ls8c_ard_3-0-0_113083_2017-08-05_final
2017-11-18 09:53:13	ga_ls8c_ard_3-0-0_096073_2017-11-18_final
2017-11-27 09:46:58	ga_ls8c_ard_3-0-0_095073_2017-11-27_final
2017-12-06 11:19:15	ga_ls8c_ard_3-0-0_110072_2017-12-06_final
2017-12-24 11:06:08	ga_ls8c_ard_3-0-0_108070_2017-12-24_final
2018-01-15 10:28:07	ga_ls8c_ard_3-1-0_102068_2018-01-15_final
2018-02-23 10:34:00	ga_ls8c_ard_3-0-0_103068_2018-02-23_final
2018-03-18 09:06:41	ga_ls8c_ard_3-0-0_088082_2018-03-17_final
2018-04-26 10:48:13	ga_ls8c_ard_3-0-0_105074_2018-04-26_final
2018-06-27 09:19:06	ga_ls8c_ard_3-0-0_091068_2018-06-26_final
2018-09-22 11:05:36	ga_ls8c_ard_3-0-0_108070_2018-09-22_final
2018-11-10 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-10_final
2018-12-07 09:57:40	ga_ls8c_ard_3-0-0_096085_2018-12-07_final
2018-12-29 10:54:16	ga_ls8c_ard_3-0-0_106072_2018-12-29_final
2019-01-05 09:21:33	ga_ls8c_ard_3-0-0_091072_2019-01-04_final
2019-05-02 11:19:44	ga_ls8c_ard_3-0-0_110075_2019-05-02_final
2019-07-06 10:27:48	ga_ls8c_ard_3-1-0_101083_2019-07-06_final
2019-09-06 10:34:28	ga_ls8c_ard_3-1-0_103068_2019-09-06_final
2019-09-10 10:10:58	ga_ls8c_ard_3-1-0_099071_2019-09-10_final
2019-11-28 09:26:11	ga_ls8c_ard_3-1-0_092067_2019-11-27_final
2020-02-07 09:38:53	ga_ls8c_ard_3-1-0_093084_2020-02-07_final
2020-02-14 11:17:57	ga_ls8c_ard_3-1-0_110069_2020-02-14_final
2020-02-21 09:52:00	ga_ls8c_ard_3-1-0_095086_2020-02-21_final
2020-03-22 11:35:27	ga_ls8c_ard_3-1-0_113067_2020-03-22_final
2020-04-13 09:24:29	ga_ls8c_ard_3-1-0_091080_2020-04-12_final
2020-05-08 10:53:47	ga_ls8c_ard_3-1-0_106072_2020-05-08_final
2020-06-05 11:19:03	ga_ls8c_ard_3-1-0_110073_2020-06-05_final
2020-10-06 11:02:53	ga_ls8c_ard_3-1-0_107077_2020-10-06_final
2021-04-27 10:45:36	ga_ls8c_ard_3-2-0_104082_2021-04-27_final
2021-05-24 10:25:09	ga_ls8c_ard_3-2-0_101077_2021-05-24_final
2021-08-15 09:16:51	ga_ls8c_ard_3-2-0_090075_2021-08-14_final
2021-09-15 10:14:12	ga_ls8c_ard_3-2-0_099079_2021-09-15_final
2021-10-03 10:01:08	ga_ls8c_ard_3-2-0_097077_2021-10-03_final
2021-10-05 11:26:28	ga_ls8c_ard_3-2-0_111074_2021-10-05_final
2021-10-25 09:26:54	ga_ls8c_ard_3-2-0_091084_2021-10-24_final
2021-11-06 11:25:42	ga_ls8c_ard_3-2-0_111072_2021-11-06_final
2021-11-26 11:00:31	ga_ls8c_ard_3-2-0_107071_2021-11-26_final
2021-12-03 11:06:19	ga_ls8c_ard_3-2-0_108070_2021-12-03_final
2022-01-17 10:36:03	ga_ls8c_ard_3-2-1_103072_2022-01-17_final
2022-01-23 09:59:20	ga_ls8c_ard_3-2-1_097073_2022-01-23_final
2022-03-23 11:17:45	ga_ls8c_ard_3-2-1_110069_2022-03-23_final
2022-03-26 11:51:48	ga_ls8c_ard_3-2-1_115077_2022-03-26_final
2022-03-30 11:23:26	ga_ls8c_ard_3-2-1_111068_2022-03-30_final
2022-04-08 11:19:42	ga_ls8c_ard_3-2-1_110074_2022-04-08_final
2022-04-28 09:22:27	ga_ls8c_ard_3-2-1_090090_2022-04-27_final
2022-05-30 10:56:20	ga_ls8c_ard_3-2-1_106077_2022-05-30_final
2022-06-08 10:49:30	ga_ls8c_ard_3-2-1_105075_2022-06-08_final
2022-07-14 10:22:54	ga_ls8c_ard_3-2-1_101070_2022-07-14_final
2022-09-06 11:26:15	ga_ls8c_ard_3-2-1_111073_2022-09-06_final
2022-10-08 09:51:22	ga_ls8c_ard_3-2-1_095083_2022-10-08_final
2022-11-02 11:18:33	ga_ls8c_ard_3-2-1_110069_2022-11-02_final
2022-11-27 11:14:17	ga_ls8c_ard_3-2-1_109074_2022-11-27_final
2022-12-08 09:18:03	ga_ls8c_ard_3-2-1_090077_2022-12-07_final
2022-12-16 10:04:37	ga_ls8c_ard_3-2-1_098070_2022-12-16_final
2023-01-24 11:53:09	ga_ls8c_ard_3-2-1_115079_2023-01-24_final
2023-02-25 11:51:39	ga_ls8c_ard_3-2-1_115076_2023-02-25_final
2023-04-04 09:36:10	ga_ls8c_ard_3-2-1_093078_2023-04-04_final
2023-05-10 09:11:03	ga_ls8c_ard_3-2-1_089078_2023-05-09_final
2023-06-14 09:45:40	ga_ls8c_ard_3-2-1_094087_2023-06-14_final
2023-11-08 10:13:40	ga_ls8c_ard_3-2-1_099078_2023-11-08_final
2023-11-24 10:14:10	ga_ls8c_ard_3-2-1_099079_2023-11-24_final
2024-01-16 10:29:00	ga_ls8c_ard_3-2-1_102070_2024-01-16_final
2024-02-13 09:22:22	ga_ls8c_ard_3-2-1_090089_2024-02-12_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