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
2013-05-04 11:54:37	ga_ls8c_ard_3-0-0_115079_2013-05-04_final
2014-06-17 11:45:08	ga_ls8c_ard_3-0-0_114076_2014-06-17_final
2014-07-19 11:45:18	ga_ls8c_ard_3-0-0_114076_2014-07-19_final
2014-08-11 11:50:51	ga_ls8c_ard_3-0-0_115074_2014-08-11_final
2014-08-29 11:40:31	ga_ls8c_ard_3-0-0_113079_2014-08-29_final
2014-09-21 11:46:44	ga_ls8c_ard_3-0-0_114079_2014-09-21_final
2015-05-12 11:39:05	ga_ls8c_ard_3-0-0_113078_2015-05-12_final
2015-06-13 11:39:19	ga_ls8c_ard_3-0-0_113078_2015-06-13_final
2015-11-09 11:58:18	ga_ls8c_ard_3-0-0_116077_2015-11-09_final
2015-12-22 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-12-22_final
2015-12-27 11:57:55	ga_ls8c_ard_3-0-0_116076_2015-12-27_final
2016-08-02 11:40:04	ga_ls8c_ard_3-0-0_113078_2016-08-02_final
2016-08-23 11:57:31	ga_ls8c_ard_3-0-0_116075_2016-08-23_final
2016-08-23 11:57:55	ga_ls8c_ard_3-0-0_116076_2016-08-23_final
2017-04-15 11:39:30	ga_ls8c_ard_3-0-0_113078_2017-04-15_final
2017-05-01 11:39:19	ga_ls8c_ard_3-0-0_113078_2017-05-01_final
2017-06-02 11:39:39	ga_ls8c_ard_3-0-0_113078_2017-06-02_final
2017-10-13 11:58:28	ga_ls8c_ard_3-0-0_116077_2017-10-13_final
2018-04-18 11:39:19	ga_ls8c_ard_3-0-0_113078_2018-04-18_final
2018-07-07 11:39:09	ga_ls8c_ard_3-0-0_113078_2018-07-07_final
2020-08-13 11:39:38	ga_ls8c_ard_3-1-0_113077_2020-08-13_final
2020-08-24 09:43:06	ga_ls8c_ard_3-1-0_094079_2020-08-24_final
2020-08-29 11:40:10	ga_ls8c_ard_3-1-0_113078_2020-08-29_final
2021-01-24 09:38:10	ga_ls8c_ard_3-2-0_093082_2021-01-24_final
2021-01-31 09:42:45	ga_ls8c_ard_3-2-0_094078_2021-01-31_final
2021-02-06 10:44:56	ga_ls8c_ard_3-2-0_104079_2021-02-06_final
2021-02-23 09:48:26	ga_ls8c_ard_3-2-0_095077_2021-02-23_final
2021-03-05 10:26:38	ga_ls8c_ard_3-2-0_101080_2021-03-05_final
2021-03-09 11:39:33	ga_ls8c_ard_3-2-0_113077_2021-03-09_final
2021-03-18 11:32:53	ga_ls8c_ard_3-2-0_112076_2021-03-18_final
2021-03-27 09:48:12	ga_ls8c_ard_3-2-0_095077_2021-03-27_final
2021-03-29 09:37:49	ga_ls8c_ard_3-2-0_093082_2021-03-29_final
2021-04-10 10:00:05	ga_ls8c_ard_3-2-0_097076_2021-04-10_final
2021-04-11 10:44:32	ga_ls8c_ard_3-2-0_104079_2021-04-11_final
2021-04-17 10:05:49	ga_ls8c_ard_3-2-0_098075_2021-04-17_final
2021-04-22 10:25:55	ga_ls8c_ard_3-2-0_101079_2021-04-22_final
2021-04-22 10:26:19	ga_ls8c_ard_3-2-0_101080_2021-04-22_final
2021-04-26 11:39:38	ga_ls8c_ard_3-2-0_113078_2021-04-26_final
2021-04-28 11:27:15	ga_ls8c_ard_3-2-0_111078_2021-04-28_final
2021-04-28 11:27:39	ga_ls8c_ard_3-2-0_111079_2021-04-28_final
2021-04-29 10:31:37	ga_ls8c_ard_3-2-0_102078_2021-04-29_final
2021-05-03 10:05:40	ga_ls8c_ard_3-2-0_098075_2021-05-03_final
2021-05-09 09:30:10	ga_ls8c_ard_3-2-0_092079_2021-05-09_final
2021-05-31 10:32:12	ga_ls8c_ard_3-2-0_102079_2021-05-31_final
2021-06-22 09:54:03	ga_ls8c_ard_3-2-0_096076_2021-06-22_final
2021-06-26 11:09:01	ga_ls8c_ard_3-2-0_108078_2021-06-26_final
2021-07-02 10:31:57	ga_ls8c_ard_3-2-0_102078_2021-07-02_final
2021-07-05 09:25:58	ga_ls8c_ard_3-2-0_091083_2021-07-04_final
2021-07-10 11:21:25	ga_ls8c_ard_3-2-0_110078_2021-07-10_final
2021-07-22 10:06:07	ga_ls8c_ard_3-2-0_098075_2021-07-22_final
2021-07-25 10:37:26	ga_ls8c_ard_3-2-0_103076_2021-07-25_final
2021-08-05 11:58:16	ga_ls8c_ard_3-2-0_116077_2021-08-05_final
2021-08-07 10:06:38	ga_ls8c_ard_3-2-0_098076_2021-08-07_final
2021-08-09 09:55:05	ga_ls8c_ard_3-2-0_096078_2021-08-09_final
2021-08-09 09:57:05	ga_ls8c_ard_3-2-0_096083_2021-08-09_final
2021-08-13 11:09:16	ga_ls8c_ard_3-2-0_108078_2021-08-13_final
2021-08-23 10:06:43	ga_ls8c_ard_3-2-0_098076_2021-08-23_final
2021-08-25 11:34:51	ga_ls8c_ard_3-2-0_112080_2021-08-25_final
2021-08-27 11:22:06	ga_ls8c_ard_3-2-0_110079_2021-08-27_final
2021-09-10 09:54:51	ga_ls8c_ard_3-2-0_096077_2021-09-10_final
2021-09-17 10:02:39	ga_ls8c_ard_3-2-0_097081_2021-09-17_final
2021-09-30 11:09:05	ga_ls8c_ard_3-2-0_108077_2021-09-30_final
2021-10-08 11:58:35	ga_ls8c_ard_3-2-0_116077_2021-10-08_final
2021-10-13 10:39:03	ga_ls8c_ard_3-2-0_103079_2021-10-13_final
2021-10-24 11:58:37	ga_ls8c_ard_3-2-0_116077_2021-10-24_final
2021-11-05 10:45:14	ga_ls8c_ard_3-2-0_104079_2021-11-05_final
2021-11-13 09:54:33	ga_ls8c_ard_3-2-0_096076_2021-11-13_final
2021-11-20 10:00:18	ga_ls8c_ard_3-2-0_097075_2021-11-20_final
2021-12-19 11:09:28	ga_ls8c_ard_3-2-1_108078_2021-12-19_final
2022-01-03 10:26:55	ga_ls8c_ard_3-2-1_101080_2022-01-03_final
2022-01-09 09:49:02	ga_ls8c_ard_3-2-1_095078_2022-01-09_final
2022-01-20 11:09:20	ga_ls8c_ard_3-2-1_108078_2022-01-20_final
2022-03-12 09:59:55	ga_ls8c_ard_3-2-1_097075_2022-03-12_final
2022-03-20 10:50:29	ga_ls8c_ard_3-2-1_105078_2022-03-20_final
2022-03-31 10:31:00	ga_ls8c_ard_3-2-1_102076_2022-03-31_final
2022-04-06 11:32:50	ga_ls8c_ard_3-2-1_112076_2022-04-06_final
2022-04-13 11:39:28	ga_ls8c_ard_3-2-1_113077_2022-04-13_final
2022-04-15 11:27:55	ga_ls8c_ard_3-2-1_111079_2022-04-15_final
2022-04-22 11:33:40	ga_ls8c_ard_3-2-1_112078_2022-04-22_final
2022-05-12 11:09:03	ga_ls8c_ard_3-2-1_108078_2022-05-12_final
2022-06-02 11:28:05	ga_ls8c_ard_3-2-1_111079_2022-06-02_final
2022-06-27 11:22:08	ga_ls8c_ard_3-2-1_110079_2022-06-27_final
2022-06-29 11:09:23	ga_ls8c_ard_3-2-1_108078_2022-06-29_final
2022-06-30 10:14:57	ga_ls8c_ard_3-2-1_099081_2022-06-30_final
2022-07-02 11:39:29	ga_ls8c_ard_3-2-1_113076_2022-07-02_final
2022-07-13 11:18:32	ga_ls8c_ard_3-2-1_110070_2022-07-13_final
2022-08-10 10:07:02	ga_ls8c_ard_3-2-1_098076_2022-08-10_final
2022-08-14 09:43:08	ga_ls8c_ard_3-2-1_094078_2022-08-14_final
2022-08-19 10:00:30	ga_ls8c_ard_3-2-1_097075_2022-08-19_final
2022-08-22 10:32:36	ga_ls8c_ard_3-2-1_102078_2022-08-22_final
2022-08-30 11:22:02	ga_ls8c_ard_3-2-1_110078_2022-08-30_final
2022-09-04 11:40:35	ga_ls8c_ard_3-2-1_113078_2022-09-04_final
2022-09-14 10:40:28	ga_ls8c_ard_3-2-1_103082_2022-09-14_final
2022-09-23 10:31:55	ga_ls8c_ard_3-2-1_102076_2022-09-23_final
2022-10-06 10:00:34	ga_ls8c_ard_3-2-1_097075_2022-10-06_final
2022-10-19 11:09:42	ga_ls8c_ard_3-2-1_108078_2022-10-19_final
2022-11-04 11:09:47	ga_ls8c_ard_3-2-1_108078_2022-11-04_final
2023-01-02 10:52:37	ga_ls8c_ard_3-2-1_105082_2023-01-02_final
2023-01-06 10:27:05	ga_ls8c_ard_3-2-1_101080_2023-01-06_final
2023-02-08 11:09:30	ga_ls8c_ard_3-2-1_108078_2023-02-08_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