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 11:25:19	ga_ls8c_ard_3-0-0_111068_2013-12-02_final
2014-01-27 10:35:22	ga_ls8c_ard_3-0-0_103068_2014-01-27_final
2014-02-05 10:29:05	ga_ls8c_ard_3-0-0_102068_2014-02-05_final
2014-02-06 09:33:26	ga_ls8c_ard_3-0-0_093068_2014-02-06_final
2014-02-21 10:28:51	ga_ls8c_ard_3-0-0_102068_2014-02-21_final
2014-02-25 10:04:04	ga_ls8c_ard_3-0-0_098068_2014-02-25_final
2014-03-04 10:10:06	ga_ls8c_ard_3-0-0_099068_2014-03-04_final
2014-03-05 10:53:22	ga_ls8c_ard_3-0-0_106068_2014-03-05_final
2014-03-08 11:24:15	ga_ls8c_ard_3-0-0_111068_2014-03-08_final
2014-03-10 09:33:00	ga_ls8c_ard_3-0-0_093068_2014-03-10_final
2014-04-24 10:40:17	ga_ls8c_ard_3-0-0_104068_2014-04-24_final
2014-04-25 11:23:32	ga_ls8c_ard_3-0-0_111068_2014-04-25_final
2014-04-29 09:19:52	ga_ls8c_ard_3-0-0_091068_2014-04-28_final
2014-05-22 09:25:46	ga_ls8c_ard_3-0-0_092068_2014-05-21_final
2014-05-22 11:04:39	ga_ls8c_ard_3-0-0_108068_2014-05-22_final
2014-06-17 10:03:04	ga_ls8c_ard_3-0-0_098068_2014-06-17_final
2014-06-21 11:17:14	ga_ls8c_ard_3-0-0_110068_2014-06-21_final
2014-06-23 09:25:59	ga_ls8c_ard_3-0-0_092068_2014-06-22_final
2016-08-06 11:11:21	ga_ls8c_ard_3-0-0_109068_2016-08-06_final
2016-08-07 10:15:44	ga_ls8c_ard_3-0-0_100068_2016-08-07_final
2016-08-08 09:20:07	ga_ls8c_ard_3-0-0_091068_2016-08-07_final
2016-08-08 10:59:00	ga_ls8c_ard_3-0-0_107068_2016-08-08_final
2016-09-19 09:57:24	ga_ls8c_ard_3-0-0_097068_2016-09-19_final
2016-09-20 10:40:40	ga_ls8c_ard_3-0-0_104068_2016-09-20_final
2016-09-21 11:23:56	ga_ls8c_ard_3-0-0_111068_2016-09-21_final
2016-10-03 10:09:47	ga_ls8c_ard_3-0-0_099068_2016-10-03_final
2016-10-04 10:53:03	ga_ls8c_ard_3-0-0_106068_2016-10-04_final
2016-10-05 09:57:26	ga_ls8c_ard_3-0-0_097068_2016-10-05_final
2016-10-09 11:11:38	ga_ls8c_ard_3-0-0_109068_2016-10-09_final
2016-10-10 10:16:01	ga_ls8c_ard_3-0-0_100068_2016-10-10_final
2016-10-11 09:20:24	ga_ls8c_ard_3-0-0_091068_2016-10-10_final
2016-10-11 10:59:17	ga_ls8c_ard_3-0-0_107068_2016-10-11_final
2017-06-21 10:27:48	ga_ls8c_ard_3-0-0_102068_2017-06-21_final
2017-06-22 09:32:11	ga_ls8c_ard_3-0-0_093068_2017-06-22_final
2017-06-22 11:11:04	ga_ls8c_ard_3-0-0_109068_2017-06-22_final
2017-06-23 10:15:27	ga_ls8c_ard_3-0-0_100068_2017-06-23_final
2017-06-24 09:19:50	ga_ls8c_ard_3-0-0_091068_2017-06-23_final
2017-06-24 10:58:43	ga_ls8c_ard_3-0-0_107068_2017-06-24_final
2017-08-24 10:28:09	ga_ls8c_ard_3-0-0_102068_2017-08-24_final
2017-08-24 10:28:33	ga_ls8c_ard_3-0-0_102069_2017-08-24_final
2017-08-25 09:32:32	ga_ls8c_ard_3-0-0_093068_2017-08-25_final
2017-08-25 11:11:25	ga_ls8c_ard_3-0-0_109068_2017-08-25_final
2017-08-26 10:15:48	ga_ls8c_ard_3-0-0_100068_2017-08-26_final
2017-08-27 09:20:11	ga_ls8c_ard_3-0-0_091068_2017-08-26_final
2017-08-27 10:59:04	ga_ls8c_ard_3-0-0_107068_2017-08-27_final
2021-01-27 10:03:29	ga_ls8c_ard_3-2-0_098068_2021-01-27_final
2021-01-28 10:46:45	ga_ls8c_ard_3-2-0_105068_2021-01-28_final
2021-01-29 09:51:07	ga_ls8c_ard_3-2-0_096068_2021-01-29_final
2021-02-04 10:52:55	ga_ls8c_ard_3-2-0_106068_2021-02-04_final
2021-02-05 09:57:17	ga_ls8c_ard_3-2-0_097068_2021-02-05_final
2021-02-06 10:40:33	ga_ls8c_ard_3-2-0_104068_2021-02-06_final
2021-02-14 09:51:04	ga_ls8c_ard_3-2-0_096068_2021-02-14_final
2021-02-14 11:29:57	ga_ls8c_ard_3-2-0_112068_2021-02-14_final
2021-02-15 10:34:20	ga_ls8c_ard_3-2-0_103068_2021-02-15_final
2021-02-16 11:17:35	ga_ls8c_ard_3-2-0_110068_2021-02-16_final
2021-02-21 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-02-21_final
2021-02-22 10:40:28	ga_ls8c_ard_3-2-0_104068_2021-02-22_final
2021-02-23 11:23:43	ga_ls8c_ard_3-2-0_111068_2021-02-23_final
2021-02-24 10:28:06	ga_ls8c_ard_3-2-0_102068_2021-02-24_final
2021-02-25 09:32:28	ga_ls8c_ard_3-2-0_093068_2021-02-25_final
2021-02-25 11:11:21	ga_ls8c_ard_3-2-0_109068_2021-02-25_final
2021-02-26 10:15:43	ga_ls8c_ard_3-2-0_100068_2021-02-26_final
2021-02-27 09:20:05	ga_ls8c_ard_3-2-0_091068_2021-02-26_final
2021-02-27 10:58:58	ga_ls8c_ard_3-2-0_107068_2021-02-27_final
2021-02-28 10:03:21	ga_ls8c_ard_3-2-0_098068_2021-02-28_final
2021-03-01 10:46:36	ga_ls8c_ard_3-2-0_105068_2021-03-01_final
2021-10-02 10:53:09	ga_ls8c_ard_3-2-0_106068_2021-10-02_final
2021-10-03 09:57:32	ga_ls8c_ard_3-2-0_097068_2021-10-03_final
2021-10-04 10:40:48	ga_ls8c_ard_3-2-0_104068_2021-10-04_final
2021-10-05 11:24:04	ga_ls8c_ard_3-2-0_111068_2021-10-05_final
2021-10-06 10:28:27	ga_ls8c_ard_3-2-0_102068_2021-10-06_final
2021-10-07 09:32:50	ga_ls8c_ard_3-2-0_093068_2021-10-07_final
2021-10-07 11:11:43	ga_ls8c_ard_3-2-0_109068_2021-10-07_final
2021-10-08 10:16:06	ga_ls8c_ard_3-2-0_100068_2021-10-08_final
2021-10-09 09:20:29	ga_ls8c_ard_3-2-0_091068_2021-10-08_final
2021-10-09 10:59:22	ga_ls8c_ard_3-2-0_107068_2021-10-09_final
2021-10-10 10:03:45	ga_ls8c_ard_3-2-0_098068_2021-10-10_final
2021-10-11 10:47:01	ga_ls8c_ard_3-2-0_105068_2021-10-11_final
2021-10-12 09:51:24	ga_ls8c_ard_3-2-0_096068_2021-10-12_final
2021-10-12 11:30:17	ga_ls8c_ard_3-2-0_112068_2021-10-12_final
2021-10-13 10:34:40	ga_ls8c_ard_3-2-0_103068_2021-10-13_final
2021-10-14 11:17:56	ga_ls8c_ard_3-2-0_110068_2021-10-14_final
2021-10-15 10:22:19	ga_ls8c_ard_3-2-0_101068_2021-10-15_final
2022-08-02 10:53:13	ga_ls8c_ard_3-2-1_106068_2022-08-02_final
2022-08-03 09:57:37	ga_ls8c_ard_3-2-1_097068_2022-08-03_final
2022-08-04 10:40:53	ga_ls8c_ard_3-2-1_104068_2022-08-04_final
2022-08-04 10:41:17	ga_ls8c_ard_3-2-1_104069_2022-08-04_final
2022-08-05 11:24:09	ga_ls8c_ard_3-2-1_111068_2022-08-05_final
2022-08-06 10:28:32	ga_ls8c_ard_3-2-1_102068_2022-08-06_final
2022-08-09 10:59:28	ga_ls8c_ard_3-2-1_107068_2022-08-09_final
2022-08-10 10:03:51	ga_ls8c_ard_3-2-1_098068_2022-08-10_final
2022-08-13 10:34:46	ga_ls8c_ard_3-2-1_103068_2022-08-13_final
2022-08-17 10:10:03	ga_ls8c_ard_3-2-1_099068_2022-08-17_final
2022-10-14 10:47:06	ga_ls8c_ard_3-2-1_105068_2022-10-14_final
2022-10-21 10:53:22	ga_ls8c_ard_3-2-1_106068_2022-10-21_final
2022-10-22 09:57:45	ga_ls8c_ard_3-2-1_097068_2022-10-22_final
2022-10-23 10:41:02	ga_ls8c_ard_3-2-1_104068_2022-10-23_final
2022-11-25 11:24:15	ga_ls8c_ard_3-2-1_111068_2022-11-25_final
2022-11-26 10:28:37	ga_ls8c_ard_3-2-1_102068_2022-11-26_final
2022-12-10 10:40:58	ga_ls8c_ard_3-2-1_104068_2022-12-10_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