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
2013-12-02 09:48:02	ga_ls8c_ard_3-0-0_095072_2013-12-02_final
2014-03-20 11:52:50	ga_ls8c_ard_3-0-0_115078_2014-03-20_final
2014-04-18 11:23:49	ga_ls8c_ard_3-0-0_110084_2014-04-18_final
2014-11-02 09:06:55	ga_ls8c_ard_3-1-0_088081_2014-11-01_final
2015-01-18 11:51:36	ga_ls8c_ard_3-0-0_115076_2015-01-18_final
2015-04-12 11:22:40	ga_ls8c_ard_3-0-0_111067_2015-04-12_final
2015-05-27 10:53:27	ga_ls8c_ard_3-0-0_106072_2015-05-27_final
2015-05-30 11:23:10	ga_ls8c_ard_3-0-0_111069_2015-05-30_final
2015-06-17 11:13:01	ga_ls8c_ard_3-0-0_109074_2015-06-17_final
2015-09-08 11:46:29	ga_ls8c_ard_3-0-0_114079_2015-09-08_final
2015-10-14 09:40:14	ga_ls8c_ard_3-0-0_094072_2015-10-14_final
2016-03-10 10:53:03	ga_ls8c_ard_3-0-0_106069_2016-03-10_final
2016-04-11 10:58:23	ga_ls8c_ard_3-0-0_106083_2016-04-11_final
2016-06-17 11:23:00	ga_ls8c_ard_3-0-0_111067_2016-06-17_final
2016-06-26 11:18:06	ga_ls8c_ard_3-0-0_110070_2016-06-26_final
2016-10-30 11:33:49	ga_ls8c_ard_3-0-0_112077_2016-10-30_final
2016-11-19 11:06:17	ga_ls8c_ard_3-0-0_108070_2016-11-19_final
2016-12-07 10:53:06	ga_ls8c_ard_3-0-0_106068_2016-12-07_final
2017-06-02 11:38:03	ga_ls8c_ard_3-0-0_113074_2017-06-02_final
2017-06-04 11:23:43	ga_ls8c_ard_3-0-0_111069_2017-06-04_final
2017-08-19 11:52:28	ga_ls8c_ard_3-0-0_115078_2017-08-19_final
2017-09-24 09:44:36	ga_ls8c_ard_3-0-0_095067_2017-09-24_final
2017-11-14 11:58:50	ga_ls8c_ard_3-0-0_116078_2017-11-14_final
2017-12-01 11:01:31	ga_ls8c_ard_3-0-0_107074_2017-12-01_final
2017-12-06 11:19:15	ga_ls8c_ard_3-0-0_110072_2017-12-06_final
2017-12-13 09:46:58	ga_ls8c_ard_3-0-0_095073_2017-12-13_final
2018-01-30 09:46:18	ga_ls8c_ard_3-0-0_095072_2018-01-30_final
2018-05-31 09:44:37	ga_ls8c_ard_3-0-0_094086_2018-05-31_final
2018-06-07 09:45:12	ga_ls8c_ard_3-0-0_095072_2018-06-07_final
2018-06-25 11:10:44	ga_ls8c_ard_3-0-0_109069_2018-06-25_final
2018-08-21 11:06:37	ga_ls8c_ard_3-0-0_108073_2018-08-21_final
2018-09-24 10:58:03	ga_ls8c_ard_3-0-0_106082_2018-09-24_final
2019-01-30 10:53:22	ga_ls8c_ard_3-0-0_106070_2019-01-30_final
2019-03-26 11:00:56	ga_ls8c_ard_3-1-0_107074_2019-03-26_final
2019-04-30 11:31:17	ga_ls8c_ard_3-0-0_112073_2019-04-30_final
2019-10-23 11:32:40	ga_ls8c_ard_3-1-0_112074_2019-10-23_final
2019-10-28 11:52:48	ga_ls8c_ard_3-1-0_115078_2019-10-28_final
2019-11-05 11:00:09	ga_ls8c_ard_3-1-0_107070_2019-11-05_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2020-02-21 09:46:49	ga_ls8c_ard_3-1-0_095073_2020-02-21_final
2020-04-20 11:09:30	ga_ls8c_ard_3-1-0_108080_2020-04-20_final
2020-05-04 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-04_final
2020-05-22 11:06:59	ga_ls8c_ard_3-1-0_108074_2020-05-22_final
2020-05-29 11:14:23	ga_ls8c_ard_3-1-0_109077_2020-05-29_final
2020-07-13 09:06:12	ga_ls8c_ard_3-1-0_088080_2020-07-12_final
2020-09-04 11:01:32	ga_ls8c_ard_3-1-0_107074_2020-09-04_final
2021-04-04 10:34:01	ga_ls8c_ard_3-2-0_103068_2021-04-04_final
2021-04-05 09:39:35	ga_ls8c_ard_3-2-0_094071_2021-04-05_final
2021-04-07 09:28:24	ga_ls8c_ard_3-2-0_092074_2021-04-06_final
2021-04-09 10:55:19	ga_ls8c_ard_3-2-0_106075_2021-04-09_final
2021-04-14 11:13:25	ga_ls8c_ard_3-2-0_109074_2021-04-14_final
2021-04-16 09:21:46	ga_ls8c_ard_3-2-0_091073_2021-04-15_final
2021-05-14 11:28:27	ga_ls8c_ard_3-2-0_111081_2021-05-14_final
2021-05-27 10:55:17	ga_ls8c_ard_3-2-0_106075_2021-05-27_final
2021-06-08 09:38:01	ga_ls8c_ard_3-2-0_094067_2021-06-08_final
2021-06-08 09:39:37	ga_ls8c_ard_3-2-0_094071_2021-06-08_final
2021-06-18 11:58:26	ga_ls8c_ard_3-2-0_116078_2021-06-18_final
2021-06-26 09:30:08	ga_ls8c_ard_3-2-0_092078_2021-06-26_final
2021-08-27 11:17:19	ga_ls8c_ard_3-2-0_110067_2021-08-27_final
2021-10-27 09:11:45	ga_ls8c_ard_3-2-0_089077_2021-10-26_final
2021-11-01 11:07:58	ga_ls8c_ard_3-2-0_108074_2021-11-01_final
2021-11-06 09:46:01	ga_ls8c_ard_3-2-0_095070_2021-11-06_final
2021-11-28 09:11:40	ga_ls8c_ard_3-2-0_089077_2021-11-27_final
2021-12-01 11:24:15	ga_ls8c_ard_3-2-0_110084_2021-12-01_final
2021-12-04 10:14:17	ga_ls8c_ard_3-2-0_099079_2021-12-04_final
2021-12-17 09:40:58	ga_ls8c_ard_3-2-1_094073_2021-12-17_final
2021-12-22 09:57:29	ga_ls8c_ard_3-2-1_097068_2021-12-22_final
2021-12-28 09:21:57	ga_ls8c_ard_3-2-1_091072_2021-12-27_final
2021-12-30 09:12:22	ga_ls8c_ard_3-2-1_089079_2021-12-29_final
2022-01-07 10:00:36	ga_ls8c_ard_3-2-1_097076_2022-01-07_final
2022-01-11 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-01-11_final
2022-01-23 09:57:21	ga_ls8c_ard_3-2-1_097068_2022-01-23_final
2022-02-06 10:11:15	ga_ls8c_ard_3-2-1_099072_2022-02-06_final
2022-02-23 10:55:37	ga_ls8c_ard_3-2-1_106075_2022-02-23_final
2022-02-26 09:52:25	ga_ls8c_ard_3-2-1_095087_2022-02-26_final
2022-03-11 10:55:33	ga_ls8c_ard_3-2-1_106075_2022-03-11_final
2022-04-27 11:50:58	ga_ls8c_ard_3-2-1_115075_2022-04-27_final
2022-04-28 10:55:20	ga_ls8c_ard_3-2-1_106075_2022-04-28_final
2022-06-09 11:34:46	ga_ls8c_ard_3-2-1_112080_2022-06-09_final
2022-06-24 09:11:33	ga_ls8c_ard_3-2-1_089077_2022-06-23_final
2022-07-02 10:01:00	ga_ls8c_ard_3-2-1_097077_2022-07-02_final
2022-08-14 11:19:37	ga_ls8c_ard_3-2-1_110072_2022-08-14_final
2022-09-29 11:32:54	ga_ls8c_ard_3-2-1_112074_2022-09-29_final
2022-10-29 10:04:47	ga_ls8c_ard_3-2-1_098070_2022-10-29_final
2022-11-09 09:47:01	ga_ls8c_ard_3-2-1_095072_2022-11-09_final
2022-11-29 09:29:02	ga_ls8c_ard_3-2-1_091089_2022-11-28_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-01-17 11:47:42	ga_ls8c_ard_3-2-1_114081_2023-01-17_final
2023-02-06 11:24:40	ga_ls8c_ard_3-2-1_110085_2023-02-06_final
2023-03-07 10:46:37	ga_ls8c_ard_3-2-1_105068_2023-03-07_final
2023-03-14 09:20:16	ga_ls8c_ard_3-2-1_090084_2023-03-13_final
2023-04-27 09:40:32	ga_ls8c_ard_3-2-1_094074_2023-04-27_final
2023-06-15 10:26:56	ga_ls8c_ard_3-2-1_101082_2023-06-15_final
2023-07-19 11:52:30	ga_ls8c_ard_3-2-1_115079_2023-07-19_final
2023-07-28 10:03:09	ga_ls8c_ard_3-2-1_098068_2023-07-28_final
2023-08-10 09:33:54	ga_ls8c_ard_3-2-1_093072_2023-08-10_final
2023-09-15 10:49:04	ga_ls8c_ard_3-2-1_105074_2023-09-15_final
2024-01-16 10:31:23	ga_ls8c_ard_3-2-1_102076_2024-01-16_final
2024-01-17 09:34:10	ga_ls8c_ard_3-2-1_093072_2024-01-17_final
2024-02-02 09:35:19	ga_ls8c_ard_3-2-1_093075_2024-02-02_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