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
2015-07-22 10:04:32	ga_ls8c_ard_3-0-0_098072_2015-07-22_final
2015-07-22 10:04:56	ga_ls8c_ard_3-0-0_098073_2015-07-22_final
2015-07-23 10:47:48	ga_ls8c_ard_3-0-0_105072_2015-07-23_final
2015-07-23 10:48:12	ga_ls8c_ard_3-0-0_105073_2015-07-23_final
2015-07-24 09:52:11	ga_ls8c_ard_3-0-0_096072_2015-07-24_final
2015-07-24 09:52:35	ga_ls8c_ard_3-0-0_096073_2015-07-24_final
2015-07-24 11:31:04	ga_ls8c_ard_3-0-0_112072_2015-07-24_final
2015-07-24 11:31:28	ga_ls8c_ard_3-0-0_112073_2015-07-24_final
2015-09-24 10:04:56	ga_ls8c_ard_3-0-0_098072_2015-09-24_final
2015-09-24 10:05:20	ga_ls8c_ard_3-0-0_098073_2015-09-24_final
2015-09-25 10:48:12	ga_ls8c_ard_3-0-0_105072_2015-09-25_final
2015-09-25 10:48:36	ga_ls8c_ard_3-0-0_105073_2015-09-25_final
2015-09-26 09:52:35	ga_ls8c_ard_3-0-0_096072_2015-09-26_final
2015-09-26 09:52:59	ga_ls8c_ard_3-0-0_096073_2015-09-26_final
2015-09-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2015-09-26_final
2015-09-26 11:31:52	ga_ls8c_ard_3-0-0_112073_2015-09-26_final
2015-09-27 10:35:51	ga_ls8c_ard_3-0-0_103072_2015-09-27_final
2015-09-27 10:36:15	ga_ls8c_ard_3-0-0_103073_2015-09-27_final
2021-11-26 11:00:55	ga_ls8c_ard_3-2-0_107072_2021-11-26_final
2021-11-26 11:01:19	ga_ls8c_ard_3-2-0_107073_2021-11-26_final
2021-11-27 10:05:18	ga_ls8c_ard_3-2-0_098072_2021-11-27_final
2021-11-27 10:05:42	ga_ls8c_ard_3-2-0_098073_2021-11-27_final
2021-11-28 10:48:34	ga_ls8c_ard_3-2-0_105072_2021-11-28_final
2021-11-28 10:48:58	ga_ls8c_ard_3-2-0_105073_2021-11-28_final
2021-11-29 09:53:21	ga_ls8c_ard_3-2-0_096073_2021-11-29_final
2021-11-29 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-29_final
2021-11-29 11:32:14	ga_ls8c_ard_3-2-0_112073_2021-11-29_final
2021-11-30 10:36:12	ga_ls8c_ard_3-2-0_103072_2021-11-30_final
2021-11-30 10:36:36	ga_ls8c_ard_3-2-0_103073_2021-11-30_final
2021-12-01 09:40:35	ga_ls8c_ard_3-2-0_094072_2021-12-01_final
2021-12-01 09:40:59	ga_ls8c_ard_3-2-0_094073_2021-12-01_final
2021-12-01 11:19:28	ga_ls8c_ard_3-2-0_110072_2021-12-01_final
2021-12-01 11:19:52	ga_ls8c_ard_3-2-0_110073_2021-12-01_final
2021-12-02 10:23:51	ga_ls8c_ard_3-2-0_101072_2021-12-02_final
2021-12-02 10:24:15	ga_ls8c_ard_3-2-0_101073_2021-12-02_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-03 09:28:37	ga_ls8c_ard_3-2-0_092073_2021-12-02_final
2021-12-03 11:07:30	ga_ls8c_ard_3-2-0_108073_2021-12-03_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-04 10:11:53	ga_ls8c_ard_3-2-0_099073_2021-12-04_final
2021-12-09 10:30:25	ga_ls8c_ard_3-2-1_102073_2021-12-09_final
2021-12-10 09:34:24	ga_ls8c_ard_3-2-1_093072_2021-12-10_final
2021-12-10 09:34:48	ga_ls8c_ard_3-2-1_093073_2021-12-10_final
2021-12-10 11:13:17	ga_ls8c_ard_3-2-1_109072_2021-12-10_final
2021-12-10 11:13:41	ga_ls8c_ard_3-2-1_109073_2021-12-10_final
2021-12-11 10:17:40	ga_ls8c_ard_3-2-1_100072_2021-12-11_final
2021-12-11 10:18:03	ga_ls8c_ard_3-2-1_100073_2021-12-11_final
2021-12-12 09:22:02	ga_ls8c_ard_3-2-1_091072_2021-12-11_final
2021-12-12 09:22:26	ga_ls8c_ard_3-2-1_091073_2021-12-11_final
2021-12-12 11:00:55	ga_ls8c_ard_3-2-1_107072_2021-12-12_final
2021-12-12 11:01:19	ga_ls8c_ard_3-2-1_107073_2021-12-12_final
2021-12-13 10:05:18	ga_ls8c_ard_3-2-1_098072_2021-12-13_final
2021-12-13 10:05:42	ga_ls8c_ard_3-2-1_098073_2021-12-13_final
2022-01-22 10:54:34	ga_ls8c_ard_3-2-1_106072_2022-01-22_final
2022-01-22 10:54:58	ga_ls8c_ard_3-2-1_106073_2022-01-22_final
2022-01-23 09:58:56	ga_ls8c_ard_3-2-1_097072_2022-01-23_final
2022-01-23 09:59:20	ga_ls8c_ard_3-2-1_097073_2022-01-23_final
2022-01-23 11:37:49	ga_ls8c_ard_3-2-1_113072_2022-01-23_final
2022-01-23 11:38:13	ga_ls8c_ard_3-2-1_113073_2022-01-23_final
2022-01-24 10:42:11	ga_ls8c_ard_3-2-1_104072_2022-01-24_final
2022-01-24 10:42:35	ga_ls8c_ard_3-2-1_104073_2022-01-24_final
2022-01-25 09:46:34	ga_ls8c_ard_3-2-1_095072_2022-01-25_final
2022-01-25 09:46:58	ga_ls8c_ard_3-2-1_095073_2022-01-25_final
2022-01-25 11:25:51	ga_ls8c_ard_3-2-1_111073_2022-01-25_final
2022-03-21 11:31:44	ga_ls8c_ard_3-2-1_112073_2022-03-21_final
2022-03-22 10:36:06	ga_ls8c_ard_3-2-1_103073_2022-03-22_final
2022-03-23 09:40:04	ga_ls8c_ard_3-2-1_094072_2022-03-23_final
2022-03-23 09:40:28	ga_ls8c_ard_3-2-1_094073_2022-03-23_final
2022-03-23 11:18:57	ga_ls8c_ard_3-2-1_110072_2022-03-23_final
2022-03-23 11:19:21	ga_ls8c_ard_3-2-1_110073_2022-03-23_final
2022-03-24 10:23:42	ga_ls8c_ard_3-2-1_101073_2022-03-24_final
2022-03-25 09:28:04	ga_ls8c_ard_3-2-1_092073_2022-03-24_final
2022-03-25 11:06:33	ga_ls8c_ard_3-2-1_108072_2022-03-25_final
2022-03-25 11:06:57	ga_ls8c_ard_3-2-1_108073_2022-03-25_final
2022-03-27 10:54:10	ga_ls8c_ard_3-2-1_106072_2022-03-27_final
2022-03-27 10:54:34	ga_ls8c_ard_3-2-1_106073_2022-03-27_final
2022-03-28 09:58:56	ga_ls8c_ard_3-2-1_097073_2022-03-28_final
2022-03-28 11:37:49	ga_ls8c_ard_3-2-1_113073_2022-03-28_final
2022-04-02 10:17:26	ga_ls8c_ard_3-2-1_100073_2022-04-02_final
2022-04-03 09:21:49	ga_ls8c_ard_3-2-1_091073_2022-04-02_final
2022-04-03 11:00:42	ga_ls8c_ard_3-2-1_107073_2022-04-03_final
2022-04-04 10:04:42	ga_ls8c_ard_3-2-1_098072_2022-04-04_final
2022-04-04 10:05:05	ga_ls8c_ard_3-2-1_098073_2022-04-04_final
2022-04-05 10:47:58	ga_ls8c_ard_3-2-1_105072_2022-04-05_final
2022-04-05 10:48:22	ga_ls8c_ard_3-2-1_105073_2022-04-05_final
2022-04-06 09:52:45	ga_ls8c_ard_3-2-1_096073_2022-04-06_final
2022-04-06 11:31:38	ga_ls8c_ard_3-2-1_112073_2022-04-06_final
2022-06-04 11:12:58	ga_ls8c_ard_3-2-1_109072_2022-06-04_final
2022-06-04 11:13:22	ga_ls8c_ard_3-2-1_109073_2022-06-04_final
2022-06-10 10:35:58	ga_ls8c_ard_3-2-1_103072_2022-06-10_final
2022-06-10 10:36:22	ga_ls8c_ard_3-2-1_103073_2022-06-10_final
2022-06-11 09:40:21	ga_ls8c_ard_3-2-1_094072_2022-06-11_final
2022-06-11 09:40:45	ga_ls8c_ard_3-2-1_094073_2022-06-11_final
2022-06-11 11:19:14	ga_ls8c_ard_3-2-1_110072_2022-06-11_final
2022-06-11 11:19:38	ga_ls8c_ard_3-2-1_110073_2022-06-11_final
2022-06-12 10:23:37	ga_ls8c_ard_3-2-1_101072_2022-06-12_final
2022-06-12 10:24:01	ga_ls8c_ard_3-2-1_101073_2022-06-12_final
2022-06-13 09:28:01	ga_ls8c_ard_3-2-1_092072_2022-06-12_final
2022-06-13 09:28:25	ga_ls8c_ard_3-2-1_092073_2022-06-12_final
2022-06-13 11:06:54	ga_ls8c_ard_3-2-1_108072_2022-06-13_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