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:

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First 100 results (query limit)

Time (local)	Label
2014-12-16 09:33:34	ga_ls8c_ard_3-0-0_092086_2014-12-16_final
2014-12-18 09:21:13	ga_ls8c_ard_3-0-0_090086_2014-12-17_final
2014-12-23 09:39:45	ga_ls8c_ard_3-0-0_093086_2014-12-23_final
2014-12-25 09:27:22	ga_ls8c_ard_3-0-0_091086_2014-12-24_final
2015-01-19 09:21:05	ga_ls8c_ard_3-0-0_090086_2015-01-18_final
2015-01-26 09:27:13	ga_ls8c_ard_3-0-0_091086_2015-01-25_final
2015-01-28 09:14:52	ga_ls8c_ard_3-0-0_089086_2015-01-27_final
2015-03-06 09:33:10	ga_ls8c_ard_3-0-0_092086_2015-03-06_final
2015-03-15 09:26:52	ga_ls8c_ard_3-0-0_091086_2015-03-14_final
2015-03-17 09:14:30	ga_ls8c_ard_3-0-0_089086_2015-03-16_final
2015-04-16 09:26:39	ga_ls8c_ard_3-0-0_091086_2015-04-15_final
2015-04-17 10:09:55	ga_ls8c_ard_3-0-0_098086_2015-04-17_final
2015-04-18 09:14:17	ga_ls8c_ard_3-0-0_089086_2015-04-17_final
2015-04-19 09:57:33	ga_ls8c_ard_3-0-0_096086_2015-04-19_final
2015-05-18 09:26:18	ga_ls8c_ard_3-0-0_091086_2015-05-17_final
2015-05-18 11:04:47	ga_ls8c_ard_3-0-0_107085_2015-05-18_final
2015-05-19 10:09:34	ga_ls8c_ard_3-0-0_098086_2015-05-19_final
2015-05-20 09:13:33	ga_ls8c_ard_3-0-0_089085_2015-05-19_final
2015-05-20 09:13:57	ga_ls8c_ard_3-0-0_089086_2015-05-19_final
2015-05-21 09:57:13	ga_ls8c_ard_3-0-0_096086_2015-05-21_final
2015-05-21 11:35:42	ga_ls8c_ard_3-0-0_112085_2015-05-21_final
2015-09-10 09:58:03	ga_ls8c_ard_3-0-0_096086_2015-09-10_final
2015-09-10 11:36:32	ga_ls8c_ard_3-0-0_112085_2015-09-10_final
2015-09-12 09:45:43	ga_ls8c_ard_3-0-0_094086_2015-09-12_final
2015-09-26 09:58:10	ga_ls8c_ard_3-0-0_096086_2015-09-26_final
2015-09-26 11:36:39	ga_ls8c_ard_3-0-0_112085_2015-09-26_final
2015-09-28 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-09-28_final
2015-10-05 09:52:01	ga_ls8c_ard_3-0-0_095086_2015-10-05_final
2015-10-07 09:39:39	ga_ls8c_ard_3-0-0_093086_2015-10-07_final
2015-10-08 10:22:31	ga_ls8c_ard_3-0-0_100085_2015-10-08_final
2015-10-12 09:58:11	ga_ls8c_ard_3-0-0_096086_2015-10-12_final
2015-10-12 11:36:40	ga_ls8c_ard_3-0-0_112085_2015-10-12_final
2015-10-14 09:45:49	ga_ls8c_ard_3-0-0_094086_2015-10-14_final
2015-10-14 11:24:18	ga_ls8c_ard_3-0-0_110085_2015-10-14_final
2015-10-28 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-10-28_final
2015-10-30 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-10-30_final
2015-11-06 09:52:06	ga_ls8c_ard_3-0-0_095086_2015-11-06_final
2015-11-08 09:39:45	ga_ls8c_ard_3-0-0_093086_2015-11-08_final
2015-11-09 10:22:36	ga_ls8c_ard_3-0-0_100085_2015-11-09_final
2015-11-13 09:58:16	ga_ls8c_ard_3-0-0_096086_2015-11-13_final
2015-11-15 09:45:55	ga_ls8c_ard_3-0-0_094086_2015-11-15_final
2015-11-22 09:52:08	ga_ls8c_ard_3-0-0_095086_2015-11-22_final
2015-11-24 09:39:23	ga_ls8c_ard_3-0-0_093085_2015-11-24_final
2015-11-24 09:39:47	ga_ls8c_ard_3-0-0_093086_2015-11-24_final
2016-02-07 09:21:06	ga_ls8c_ard_3-0-0_090086_2016-02-06_final
2016-02-08 10:04:21	ga_ls8c_ard_3-0-0_097086_2016-02-08_final
2016-02-26 09:51:53	ga_ls8c_ard_3-0-0_095086_2016-02-26_final
2016-02-28 09:39:31	ga_ls8c_ard_3-0-0_093086_2016-02-28_final
2016-03-13 09:51:50	ga_ls8c_ard_3-0-0_095086_2016-03-13_final
2016-03-15 09:39:28	ga_ls8c_ard_3-0-0_093086_2016-03-15_final
2016-03-29 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-03-29_final
2016-03-31 09:39:17	ga_ls8c_ard_3-0-0_093086_2016-03-31_final
2016-04-14 09:51:35	ga_ls8c_ard_3-0-0_095086_2016-04-14_final
2016-04-16 09:39:13	ga_ls8c_ard_3-0-0_093086_2016-04-16_final
2018-02-04 10:10:24	ga_ls8c_ard_3-0-0_098086_2018-02-04_final
2018-02-05 09:14:46	ga_ls8c_ard_3-0-0_089086_2018-02-04_final
2018-03-08 10:10:10	ga_ls8c_ard_3-0-0_098086_2018-03-08_final
2018-03-09 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-03-08_final
2018-03-24 10:10:02	ga_ls8c_ard_3-0-0_098086_2018-03-24_final
2018-03-25 09:14:25	ga_ls8c_ard_3-0-0_089086_2018-03-24_final
2018-04-09 10:09:54	ga_ls8c_ard_3-0-0_098086_2018-04-09_final
2018-04-10 09:14:17	ga_ls8c_ard_3-0-0_089086_2018-04-09_final
2018-04-29 09:45:00	ga_ls8c_ard_3-0-0_094086_2018-04-29_final
2018-05-01 09:32:37	ga_ls8c_ard_3-0-0_092086_2018-05-01_final
2018-05-10 09:26:21	ga_ls8c_ard_3-0-0_091086_2018-05-09_final
2018-05-11 10:09:36	ga_ls8c_ard_3-0-0_098086_2018-05-11_final
2018-05-12 09:13:58	ga_ls8c_ard_3-0-0_089086_2018-05-11_final
2018-05-13 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-05-13_final
2018-05-15 09:44:50	ga_ls8c_ard_3-0-0_094086_2018-05-15_final
2018-05-17 09:32:26	ga_ls8c_ard_3-0-0_092086_2018-05-17_final
2018-09-16 10:09:45	ga_ls8c_ard_3-0-0_098085_2018-09-16_final
2018-09-16 10:10:09	ga_ls8c_ard_3-0-0_098086_2018-09-16_final
2018-09-17 09:14:32	ga_ls8c_ard_3-0-0_089086_2018-09-16_final
2018-09-22 09:33:06	ga_ls8c_ard_3-0-0_092086_2018-09-22_final
2018-09-23 10:15:59	ga_ls8c_ard_3-0-0_099085_2018-09-23_final
2018-09-24 09:20:22	ga_ls8c_ard_3-0-0_090085_2018-09-23_final
2018-09-24 09:20:46	ga_ls8c_ard_3-0-0_090086_2018-09-23_final
2018-09-25 10:04:02	ga_ls8c_ard_3-0-0_097086_2018-09-25_final
2018-11-25 09:33:23	ga_ls8c_ard_3-0-0_092086_2018-11-25_final
2018-11-26 10:16:14	ga_ls8c_ard_3-0-0_099085_2018-11-26_final
2018-11-27 09:20:37	ga_ls8c_ard_3-0-0_090085_2018-11-26_final
2018-11-27 09:21:01	ga_ls8c_ard_3-0-0_090086_2018-11-26_final
2018-11-28 10:04:16	ga_ls8c_ard_3-0-0_097086_2018-11-28_final
2018-12-11 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-12-11_final
2018-12-13 09:20:57	ga_ls8c_ard_3-0-0_090086_2018-12-12_final
2018-12-14 10:04:13	ga_ls8c_ard_3-0-0_097086_2018-12-14_final
2018-12-27 09:33:20	ga_ls8c_ard_3-0-0_092086_2018-12-27_final
2018-12-29 09:20:58	ga_ls8c_ard_3-0-0_090086_2018-12-28_final
2018-12-30 10:04:14	ga_ls8c_ard_3-0-0_097086_2018-12-30_final
2019-01-06 10:10:24	ga_ls8c_ard_3-0-0_098086_2019-01-06_final
2019-01-07 09:14:46	ga_ls8c_ard_3-0-0_089086_2019-01-06_final
2023-03-26 09:45:38	ga_ls8c_ard_3-2-1_094086_2023-03-26_final
2023-03-28 09:33:16	ga_ls8c_ard_3-2-1_092086_2023-03-28_final
2023-04-09 09:57:47	ga_ls8c_ard_3-2-1_096086_2023-04-09_final
2023-04-11 09:45:22	ga_ls8c_ard_3-2-1_094086_2023-04-11_final
2023-04-15 09:20:38	ga_ls8c_ard_3-2-1_090086_2023-04-14_final
2023-04-24 09:14:26	ga_ls8c_ard_3-2-1_089086_2023-04-23_final
2023-04-25 09:57:41	ga_ls8c_ard_3-2-1_096086_2023-04-25_final
2023-05-04 09:51:26	ga_ls8c_ard_3-2-1_095086_2023-05-04_final
2023-05-06 09:39:02	ga_ls8c_ard_3-2-1_093086_2023-05-06_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