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
2015-09-26 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
2015-09-28 09:40:14	ga_ls8c_ard_3-0-0_094072_2015-09-28_final
2015-09-28 09:40:38	ga_ls8c_ard_3-0-0_094073_2015-09-28_final
2015-09-28 11:19:07	ga_ls8c_ard_3-0-0_110072_2015-09-28_final
2015-09-28 11:19:31	ga_ls8c_ard_3-0-0_110073_2015-09-28_final
2015-09-29 10:23:30	ga_ls8c_ard_3-1-0_101072_2015-09-29_final
2015-09-29 10:23:54	ga_ls8c_ard_3-0-0_101073_2015-09-29_final
2015-11-13 09:53:05	ga_ls8c_ard_3-0-0_096073_2015-11-13_final
2015-11-13 11:31:34	ga_ls8c_ard_3-0-0_112072_2015-11-13_final
2015-11-13 11:31:58	ga_ls8c_ard_3-0-0_112073_2015-11-13_final
2015-11-14 10:35:57	ga_ls8c_ard_3-0-0_103072_2015-11-14_final
2015-11-14 10:36:21	ga_ls8c_ard_3-0-0_103073_2015-11-14_final
2015-11-15 09:40:20	ga_ls8c_ard_3-0-0_094072_2015-11-15_final
2015-11-15 09:40:44	ga_ls8c_ard_3-0-0_094073_2015-11-15_final
2015-11-15 11:19:13	ga_ls8c_ard_3-0-0_110072_2015-11-15_final
2015-11-15 11:19:37	ga_ls8c_ard_3-0-0_110073_2015-11-15_final
2015-11-16 10:23:36	ga_ls8c_ard_3-0-0_101072_2015-11-16_final
2015-11-16 10:24:00	ga_ls8c_ard_3-0-0_101073_2015-11-16_final
2018-06-02 09:26:39	ga_ls8c_ard_3-0-0_092072_2018-06-01_final
2018-06-02 09:27:03	ga_ls8c_ard_3-0-0_092073_2018-06-01_final
2018-06-02 11:05:32	ga_ls8c_ard_3-0-0_108072_2018-06-02_final
2018-06-02 11:05:56	ga_ls8c_ard_3-0-0_108073_2018-06-02_final
2018-06-03 10:09:54	ga_ls8c_ard_3-0-0_099072_2018-06-03_final
2018-06-03 10:10:18	ga_ls8c_ard_3-0-0_099073_2018-06-03_final
2018-06-03 11:49:11	ga_ls8c_ard_3-0-0_115073_2018-06-03_final
2018-07-06 10:53:29	ga_ls8c_ard_3-0-0_106072_2018-07-06_final
2018-07-06 10:53:53	ga_ls8c_ard_3-0-0_106073_2018-07-06_final
2018-07-07 09:57:52	ga_ls8c_ard_3-0-0_097072_2018-07-07_final
2018-07-07 09:58:16	ga_ls8c_ard_3-0-0_097073_2018-07-07_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-07-07 11:37:09	ga_ls8c_ard_3-0-0_113073_2018-07-07_final
2018-07-08 10:41:08	ga_ls8c_ard_3-0-0_104072_2018-07-08_final
2018-07-08 10:41:32	ga_ls8c_ard_3-0-0_104073_2018-07-08_final
2018-08-05 09:27:12	ga_ls8c_ard_3-0-0_092072_2018-08-04_final
2018-08-05 09:27:36	ga_ls8c_ard_3-0-0_092073_2018-08-04_final
2018-08-05 11:06:05	ga_ls8c_ard_3-0-0_108072_2018-08-05_final
2018-08-05 11:06:29	ga_ls8c_ard_3-0-0_108073_2018-08-05_final
2018-08-06 10:10:28	ga_ls8c_ard_3-0-0_099072_2018-08-06_final
2018-08-06 10:10:52	ga_ls8c_ard_3-0-0_099073_2018-08-06_final
2018-08-06 11:49:45	ga_ls8c_ard_3-0-0_115073_2018-08-06_final
2018-08-07 10:53:45	ga_ls8c_ard_3-0-0_106072_2018-08-07_final
2018-08-07 10:54:08	ga_ls8c_ard_3-0-0_106073_2018-08-07_final
2018-08-08 09:58:08	ga_ls8c_ard_3-0-0_097072_2018-08-08_final
2018-08-08 09:58:32	ga_ls8c_ard_3-0-0_097073_2018-08-08_final
2018-08-08 11:37:01	ga_ls8c_ard_3-0-0_113072_2018-08-08_final
2018-08-08 11:37:25	ga_ls8c_ard_3-0-0_113073_2018-08-08_final
2018-08-09 10:41:24	ga_ls8c_ard_3-0-0_104072_2018-08-09_final
2018-08-09 10:41:48	ga_ls8c_ard_3-0-0_104073_2018-08-09_final
2020-04-21 10:11:05	ga_ls8c_ard_3-1-0_099073_2020-04-21_final
2020-04-21 11:49:58	ga_ls8c_ard_3-1-0_115073_2020-04-21_final
2020-04-22 10:54:20	ga_ls8c_ard_3-1-0_106073_2020-04-22_final
2020-04-23 09:58:18	ga_ls8c_ard_3-1-0_097072_2020-04-23_final
2020-04-23 09:58:42	ga_ls8c_ard_3-1-0_097073_2020-04-23_final
2020-04-23 11:37:11	ga_ls8c_ard_3-1-0_113072_2020-04-23_final
2020-04-23 11:37:35	ga_ls8c_ard_3-1-0_113073_2020-04-23_final
2020-04-24 10:41:33	ga_ls8c_ard_3-1-0_104072_2020-04-24_final
2020-04-24 10:41:57	ga_ls8c_ard_3-1-0_104073_2020-04-24_final
2020-06-03 09:52:06	ga_ls8c_ard_3-1-0_096072_2020-06-03_final
2021-10-19 09:59:12	ga_ls8c_ard_3-2-0_097072_2021-10-19_final
2021-10-19 09:59:36	ga_ls8c_ard_3-2-0_097073_2021-10-19_final
2021-10-19 11:38:05	ga_ls8c_ard_3-2-0_113072_2021-10-19_final
2021-10-19 11:38:29	ga_ls8c_ard_3-2-0_113073_2021-10-19_final
2021-10-20 10:42:27	ga_ls8c_ard_3-2-0_104072_2021-10-20_final
2021-10-20 10:42:51	ga_ls8c_ard_3-2-0_104073_2021-10-20_final
2021-10-21 09:46:50	ga_ls8c_ard_3-2-0_095072_2021-10-21_final
2021-10-21 09:47:14	ga_ls8c_ard_3-2-0_095073_2021-10-21_final
2021-10-21 11:25:43	ga_ls8c_ard_3-2-0_111072_2021-10-21_final
2021-10-21 11:26:07	ga_ls8c_ard_3-2-0_111073_2021-10-21_final
2021-10-22 10:30:06	ga_ls8c_ard_3-2-0_102072_2021-10-22_final
2021-10-22 10:30:30	ga_ls8c_ard_3-2-0_102073_2021-10-22_final
2021-10-23 09:34:29	ga_ls8c_ard_3-2-0_093072_2021-10-23_final
2021-10-23 09:34:53	ga_ls8c_ard_3-2-0_093073_2021-10-23_final
2021-10-23 11:13:22	ga_ls8c_ard_3-2-0_109072_2021-10-23_final
2021-10-23 11:13:46	ga_ls8c_ard_3-2-0_109073_2021-10-23_final
2021-10-24 10:17:44	ga_ls8c_ard_3-2-0_100072_2021-10-24_final
2021-10-24 10:18:08	ga_ls8c_ard_3-2-0_100073_2021-10-24_final
2021-10-25 09:22:07	ga_ls8c_ard_3-2-0_091072_2021-10-24_final
2021-10-25 09:22:31	ga_ls8c_ard_3-2-0_091073_2021-10-24_final
2021-10-25 11:01:00	ga_ls8c_ard_3-2-0_107072_2021-10-25_final
2021-10-25 11:01:24	ga_ls8c_ard_3-2-0_107073_2021-10-25_final
2022-06-02 11:25:18	ga_ls8c_ard_3-2-1_111072_2022-06-02_final
2022-06-02 11:25:42	ga_ls8c_ard_3-2-1_111073_2022-06-02_final
2022-06-03 10:29:41	ga_ls8c_ard_3-2-1_102072_2022-06-03_final
2022-06-03 10:30:05	ga_ls8c_ard_3-2-1_102073_2022-06-03_final
2022-06-04 09:34:05	ga_ls8c_ard_3-2-1_093072_2022-06-04_final
2022-06-04 09:34:29	ga_ls8c_ard_3-2-1_093073_2022-06-04_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
2022-06-05 10:17:21	ga_ls8c_ard_3-2-1_100072_2022-06-05_final
2022-06-05 10:17:45	ga_ls8c_ard_3-2-1_100073_2022-06-05_final
2022-06-06 09:21:45	ga_ls8c_ard_3-2-1_091072_2022-06-05_final
2022-06-06 09:22:09	ga_ls8c_ard_3-2-1_091073_2022-06-05_final
2022-06-06 11:00:38	ga_ls8c_ard_3-2-1_107072_2022-06-06_final
2022-06-06 11:01:02	ga_ls8c_ard_3-2-1_107073_2022-06-06_final
2022-06-07 10:05:01	ga_ls8c_ard_3-2-1_098072_2022-06-07_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