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
2014-10-10 10:36:03	ga_ls8c_ard_3-0-0_103072_2014-10-10_final
2014-10-11 09:40:26	ga_ls8c_ard_3-0-0_094072_2014-10-11_final
2014-10-11 11:19:19	ga_ls8c_ard_3-0-0_110072_2014-10-11_final
2014-10-12 10:23:42	ga_ls8c_ard_3-1-0_101072_2014-10-12_final
2014-11-04 10:29:52	ga_ls8c_ard_3-0-0_102072_2014-11-04_final
2014-11-05 09:34:16	ga_ls8c_ard_3-0-0_093072_2014-11-05_final
2014-11-05 11:13:09	ga_ls8c_ard_3-0-0_109072_2014-11-05_final
2014-11-06 10:17:32	ga_ls8c_ard_3-0-0_100072_2014-11-06_final
2014-11-07 09:21:55	ga_ls8c_ard_3-0-0_091072_2014-11-06_final
2014-11-07 11:00:48	ga_ls8c_ard_3-0-0_107072_2014-11-07_final
2014-11-08 10:05:10	ga_ls8c_ard_3-0-0_098072_2014-11-08_final
2014-11-20 10:29:50	ga_ls8c_ard_3-0-0_102072_2014-11-20_final
2014-11-21 09:34:11	ga_ls8c_ard_3-0-0_093072_2014-11-21_final
2014-11-21 11:13:05	ga_ls8c_ard_3-0-0_109072_2014-11-21_final
2014-11-22 10:17:28	ga_ls8c_ard_3-0-0_100072_2014-11-22_final
2014-11-23 09:21:51	ga_ls8c_ard_3-0-0_091072_2014-11-22_final
2014-11-23 11:00:44	ga_ls8c_ard_3-0-0_107072_2014-11-23_final
2014-11-24 10:05:07	ga_ls8c_ard_3-0-0_098072_2014-11-24_final
2014-12-13 10:35:56	ga_ls8c_ard_3-0-0_103072_2014-12-13_final
2014-12-14 09:40:19	ga_ls8c_ard_3-0-0_094072_2014-12-14_final
2014-12-14 11:19:12	ga_ls8c_ard_3-0-0_110072_2014-12-14_final
2014-12-15 10:23:35	ga_ls8c_ard_3-0-0_101072_2014-12-15_final
2014-12-16 09:27:58	ga_ls8c_ard_3-0-0_092072_2014-12-15_final
2014-12-16 11:06:51	ga_ls8c_ard_3-0-0_108072_2014-12-16_final
2014-12-17 10:11:14	ga_ls8c_ard_3-0-0_099072_2014-12-17_final
2014-12-18 10:54:30	ga_ls8c_ard_3-0-0_106072_2014-12-18_final
2021-01-04 11:37:55	ga_ls8c_ard_3-2-0_113072_2021-01-04_final
2021-01-05 10:42:17	ga_ls8c_ard_3-2-0_104072_2021-01-05_final
2021-01-06 09:46:39	ga_ls8c_ard_3-2-0_095072_2021-01-06_final
2021-01-06 11:25:32	ga_ls8c_ard_3-2-0_111072_2021-01-06_final
2021-01-07 10:29:54	ga_ls8c_ard_3-2-0_102072_2021-01-07_final
2021-01-31 11:19:14	ga_ls8c_ard_3-2-0_110072_2021-01-31_final
2021-02-01 10:23:37	ga_ls8c_ard_3-2-0_101072_2021-02-01_final
2021-02-02 09:27:59	ga_ls8c_ard_3-2-0_092072_2021-02-01_final
2021-02-02 11:06:52	ga_ls8c_ard_3-2-0_108072_2021-02-02_final
2021-02-03 10:11:15	ga_ls8c_ard_3-2-0_099072_2021-02-03_final
2021-03-20 11:18:55	ga_ls8c_ard_3-2-0_110072_2021-03-20_final
2021-03-21 10:23:18	ga_ls8c_ard_3-2-0_101072_2021-03-21_final
2021-03-22 09:27:40	ga_ls8c_ard_3-2-0_092072_2021-03-21_final
2021-03-22 11:06:33	ga_ls8c_ard_3-2-0_108072_2021-03-22_final
2021-03-23 10:10:56	ga_ls8c_ard_3-2-0_099072_2021-03-23_final
2021-03-24 10:54:11	ga_ls8c_ard_3-2-0_106072_2021-03-24_final
2021-03-25 09:58:34	ga_ls8c_ard_3-2-0_097072_2021-03-25_final
2021-03-25 11:37:27	ga_ls8c_ard_3-2-0_113072_2021-03-25_final
2021-03-26 10:41:49	ga_ls8c_ard_3-2-0_104072_2021-03-26_final
2021-03-27 09:46:12	ga_ls8c_ard_3-2-0_095072_2021-03-27_final
2021-03-31 09:21:28	ga_ls8c_ard_3-2-0_091072_2021-03-30_final
2021-03-31 11:00:21	ga_ls8c_ard_3-2-0_107072_2021-03-31_final
2021-04-01 10:04:43	ga_ls8c_ard_3-2-0_098072_2021-04-01_final
2021-04-02 10:47:59	ga_ls8c_ard_3-2-0_105072_2021-04-02_final
2021-04-03 09:52:21	ga_ls8c_ard_3-2-0_096072_2021-04-03_final
2021-04-03 11:31:14	ga_ls8c_ard_3-2-0_112072_2021-04-03_final
2021-04-04 10:35:36	ga_ls8c_ard_3-2-0_103072_2021-04-04_final
2021-04-05 09:39:59	ga_ls8c_ard_3-2-0_094072_2021-04-05_final
2021-04-05 11:18:52	ga_ls8c_ard_3-2-0_110072_2021-04-05_final
2021-04-06 10:23:14	ga_ls8c_ard_3-2-0_101072_2021-04-06_final
2021-04-09 10:54:07	ga_ls8c_ard_3-2-0_106072_2021-04-09_final
2021-04-10 09:58:29	ga_ls8c_ard_3-2-0_097072_2021-04-10_final
2021-05-21 09:52:14	ga_ls8c_ard_3-2-0_096072_2021-05-21_final
2021-05-21 11:31:07	ga_ls8c_ard_3-2-0_112072_2021-05-21_final
2021-05-22 10:35:30	ga_ls8c_ard_3-2-0_103072_2021-05-22_final
2021-05-23 09:39:53	ga_ls8c_ard_3-2-0_094072_2021-05-23_final
2021-05-23 11:18:46	ga_ls8c_ard_3-2-0_110072_2021-05-23_final
2021-05-24 10:23:10	ga_ls8c_ard_3-2-0_101072_2021-05-24_final
2021-05-25 09:27:33	ga_ls8c_ard_3-2-0_092072_2021-05-24_final
2021-05-25 11:06:26	ga_ls8c_ard_3-2-0_108072_2021-05-25_final
2021-05-26 10:10:49	ga_ls8c_ard_3-2-0_099072_2021-05-26_final
2021-05-27 10:54:05	ga_ls8c_ard_3-2-0_106072_2021-05-27_final
2021-05-28 09:58:28	ga_ls8c_ard_3-2-0_097072_2021-05-28_final
2021-05-28 11:37:22	ga_ls8c_ard_3-2-0_113072_2021-05-28_final
2021-05-29 10:41:45	ga_ls8c_ard_3-2-0_104072_2021-05-29_final
2021-05-30 09:45:44	ga_ls8c_ard_3-2-0_095071_2021-05-30_final
2021-05-30 09:46:08	ga_ls8c_ard_3-2-0_095072_2021-05-30_final
2021-05-30 11:25:01	ga_ls8c_ard_3-2-0_111072_2021-05-30_final
2021-06-02 10:17:03	ga_ls8c_ard_3-2-0_100072_2021-06-02_final
2021-06-03 09:21:26	ga_ls8c_ard_3-2-0_091072_2021-06-02_final
2021-06-03 10:59:56	ga_ls8c_ard_3-2-0_107071_2021-06-03_final
2021-06-03 11:00:19	ga_ls8c_ard_3-2-0_107072_2021-06-03_final
2021-06-04 10:04:43	ga_ls8c_ard_3-2-0_098072_2021-06-04_final
2021-06-06 11:31:15	ga_ls8c_ard_3-2-0_112072_2021-06-06_final
2021-06-07 10:35:38	ga_ls8c_ard_3-2-0_103072_2021-06-07_final
2021-06-08 09:40:01	ga_ls8c_ard_3-2-0_094072_2021-06-08_final
2021-12-01 11:19:28	ga_ls8c_ard_3-2-0_110072_2021-12-01_final
2021-12-02 10:23:51	ga_ls8c_ard_3-2-0_101072_2021-12-02_final
2021-12-03 09:27:50	ga_ls8c_ard_3-2-0_092071_2021-12-02_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-03 11:07:07	ga_ls8c_ard_3-2-0_108072_2021-12-03_final
2021-12-04 10:11:29	ga_ls8c_ard_3-2-0_099072_2021-12-04_final
2021-12-05 10:54:45	ga_ls8c_ard_3-2-1_106072_2021-12-05_final
2021-12-06 09:59:08	ga_ls8c_ard_3-2-1_097072_2021-12-06_final
2021-12-06 11:38:01	ga_ls8c_ard_3-2-1_113072_2021-12-06_final
2021-12-07 10:42:23	ga_ls8c_ard_3-2-1_104072_2021-12-07_final
2021-12-08 09:46:46	ga_ls8c_ard_3-2-1_095072_2021-12-08_final
2021-12-08 11:25:39	ga_ls8c_ard_3-2-1_111072_2021-12-08_final
2021-12-09 10:30:01	ga_ls8c_ard_3-2-1_102072_2021-12-09_final
2021-12-10 09:34:24	ga_ls8c_ard_3-2-1_093072_2021-12-10_final
2021-12-10 11:13:17	ga_ls8c_ard_3-2-1_109072_2021-12-10_final
2021-12-11 10:17:40	ga_ls8c_ard_3-2-1_100072_2021-12-11_final
2021-12-12 09:22:02	ga_ls8c_ard_3-2-1_091072_2021-12-11_final
2021-12-12 11:00:55	ga_ls8c_ard_3-2-1_107072_2021-12-12_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