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
2019-07-08 10:11:27	ga_ls8c_ard_3-1-0_099073_2019-07-08_final
2019-07-08 11:50:20	ga_ls8c_ard_3-1-0_115073_2019-07-08_final
2019-07-09 10:54:43	ga_ls8c_ard_3-1-0_106073_2019-07-09_final
2019-07-10 09:59:06	ga_ls8c_ard_3-1-0_097073_2019-07-10_final
2019-07-10 11:37:59	ga_ls8c_ard_3-1-0_113073_2019-07-10_final
2019-08-26 10:54:58	ga_ls8c_ard_3-1-0_106073_2019-08-26_final
2019-08-27 09:59:21	ga_ls8c_ard_3-1-0_097073_2019-08-27_final
2019-08-27 11:38:14	ga_ls8c_ard_3-1-0_113073_2019-08-27_final
2019-09-16 09:34:43	ga_ls8c_ard_3-1-0_093073_2019-09-16_final
2019-09-16 11:13:36	ga_ls8c_ard_3-1-0_109073_2019-09-16_final
2019-09-17 10:17:59	ga_ls8c_ard_3-1-0_100073_2019-09-17_final
2019-09-18 09:22:22	ga_ls8c_ard_3-1-0_091073_2019-09-17_final
2019-09-18 11:01:15	ga_ls8c_ard_3-1-0_107073_2019-09-18_final
2019-10-14 09:59:33	ga_ls8c_ard_3-1-0_097073_2019-10-14_final
2019-10-14 11:38:26	ga_ls8c_ard_3-1-0_113073_2019-10-14_final
2019-10-15 10:42:49	ga_ls8c_ard_3-1-0_104073_2019-10-15_final
2019-10-16 09:47:12	ga_ls8c_ard_3-1-0_095073_2019-10-16_final
2019-10-16 11:26:05	ga_ls8c_ard_3-1-0_111073_2019-10-16_final
2019-11-26 09:40:56	ga_ls8c_ard_3-1-0_094073_2019-11-26_final
2019-11-26 11:19:49	ga_ls8c_ard_3-1-0_110073_2019-11-26_final
2019-11-27 10:24:12	ga_ls8c_ard_3-1-0_101073_2019-11-27_final
2019-11-28 09:28:35	ga_ls8c_ard_3-1-0_092073_2019-11-27_final
2019-11-28 11:07:28	ga_ls8c_ard_3-1-0_108073_2019-11-28_final
2019-12-01 09:59:29	ga_ls8c_ard_3-1-0_097073_2019-12-01_final
2019-12-01 11:38:22	ga_ls8c_ard_3-1-0_113073_2019-12-01_final
2019-12-02 10:42:45	ga_ls8c_ard_3-1-0_104073_2019-12-02_final
2019-12-03 09:47:07	ga_ls8c_ard_3-1-0_095073_2019-12-03_final
2019-12-03 11:26:00	ga_ls8c_ard_3-1-0_111073_2019-12-03_final
2021-01-04 11:38:18	ga_ls8c_ard_3-2-0_113073_2021-01-04_final
2021-01-05 10:42:41	ga_ls8c_ard_3-2-0_104073_2021-01-05_final
2021-01-06 09:47:03	ga_ls8c_ard_3-2-0_095073_2021-01-06_final
2021-01-06 11:25:56	ga_ls8c_ard_3-2-0_111073_2021-01-06_final
2021-01-07 10:30:18	ga_ls8c_ard_3-2-0_102073_2021-01-07_final
2021-01-31 11:19:38	ga_ls8c_ard_3-2-0_110073_2021-01-31_final
2021-02-01 10:24:01	ga_ls8c_ard_3-2-0_101073_2021-02-01_final
2021-02-02 09:28:23	ga_ls8c_ard_3-2-0_092073_2021-02-01_final
2021-02-02 11:07:16	ga_ls8c_ard_3-2-0_108073_2021-02-02_final
2021-02-03 10:11:39	ga_ls8c_ard_3-2-0_099073_2021-02-03_final
2021-04-07 09:28:00	ga_ls8c_ard_3-2-0_092073_2021-04-06_final
2021-04-07 11:06:53	ga_ls8c_ard_3-2-0_108073_2021-04-07_final
2021-04-08 10:11:16	ga_ls8c_ard_3-2-0_099073_2021-04-08_final
2021-04-08 11:50:09	ga_ls8c_ard_3-2-0_115073_2021-04-08_final
2021-04-09 10:54:31	ga_ls8c_ard_3-2-0_106073_2021-04-09_final
2021-04-10 09:58:53	ga_ls8c_ard_3-2-0_097073_2021-04-10_final
2021-08-21 10:17:53	ga_ls8c_ard_3-2-0_100073_2021-08-21_final
2021-08-22 09:22:16	ga_ls8c_ard_3-2-0_091073_2021-08-21_final
2021-08-22 11:01:09	ga_ls8c_ard_3-2-0_107073_2021-08-22_final
2021-08-23 10:05:31	ga_ls8c_ard_3-2-0_098073_2021-08-23_final
2021-08-24 10:48:47	ga_ls8c_ard_3-2-0_105073_2021-08-24_final
2021-08-25 09:53:10	ga_ls8c_ard_3-2-0_096073_2021-08-25_final
2021-08-25 11:32:03	ga_ls8c_ard_3-2-0_112073_2021-08-25_final
2021-08-26 10:36:26	ga_ls8c_ard_3-2-0_103073_2021-08-26_final
2021-08-27 09:40:25	ga_ls8c_ard_3-2-0_094072_2021-08-27_final
2021-08-27 09:40:49	ga_ls8c_ard_3-2-0_094073_2021-08-27_final
2021-08-27 11:19:42	ga_ls8c_ard_3-2-0_110073_2021-08-27_final
2021-08-28 10:24:05	ga_ls8c_ard_3-2-0_101073_2021-08-28_final
2021-08-29 09:28:28	ga_ls8c_ard_3-2-0_092073_2021-08-28_final
2021-08-29 11:07:21	ga_ls8c_ard_3-2-0_108073_2021-08-29_final
2021-08-30 10:11:44	ga_ls8c_ard_3-2-0_099073_2021-08-30_final
2021-08-30 11:50:37	ga_ls8c_ard_3-2-0_115073_2021-08-30_final
2023-02-10 10:55:07	ga_ls8c_ard_3-2-1_106073_2023-02-10_final
2023-02-11 09:59:29	ga_ls8c_ard_3-2-1_097073_2023-02-11_final
2023-02-11 11:38:22	ga_ls8c_ard_3-2-1_113073_2023-02-11_final
2023-02-12 10:42:44	ga_ls8c_ard_3-2-1_104073_2023-02-12_final
2023-02-13 09:47:05	ga_ls8c_ard_3-2-1_095073_2023-02-13_final
2023-02-13 11:25:58	ga_ls8c_ard_3-2-1_111073_2023-02-13_final
2023-02-14 10:30:21	ga_ls8c_ard_3-2-1_102073_2023-02-14_final
2023-02-15 09:34:43	ga_ls8c_ard_3-2-1_093073_2023-02-15_final
2023-02-15 11:13:35	ga_ls8c_ard_3-2-1_109073_2023-02-15_final
2023-02-16 10:17:57	ga_ls8c_ard_3-2-1_100073_2023-02-16_final
2023-02-17 09:22:19	ga_ls8c_ard_3-2-1_091073_2023-02-16_final
2023-02-17 11:01:12	ga_ls8c_ard_3-2-1_107073_2023-02-17_final
2023-02-18 10:05:34	ga_ls8c_ard_3-2-1_098073_2023-02-18_final
2023-02-19 10:48:48	ga_ls8c_ard_3-2-1_105073_2023-02-19_final
2023-02-20 09:53:09	ga_ls8c_ard_3-2-1_096073_2023-02-20_final
2023-03-01 09:46:51	ga_ls8c_ard_3-2-1_095073_2023-03-01_final
2023-03-01 11:25:45	ga_ls8c_ard_3-2-1_111073_2023-03-01_final
2023-03-02 10:30:07	ga_ls8c_ard_3-2-1_102073_2023-03-02_final
2023-03-03 09:34:29	ga_ls8c_ard_3-2-1_093073_2023-03-03_final
2023-03-03 11:13:22	ga_ls8c_ard_3-2-1_109073_2023-03-03_final
2023-03-04 10:17:44	ga_ls8c_ard_3-2-1_100073_2023-03-04_final
2023-03-05 09:22:07	ga_ls8c_ard_3-2-1_091073_2023-03-04_final
2023-03-05 11:01:00	ga_ls8c_ard_3-2-1_107073_2023-03-05_final
2023-03-06 10:05:22	ga_ls8c_ard_3-2-1_098073_2023-03-06_final
2023-03-07 10:48:36	ga_ls8c_ard_3-2-1_105073_2023-03-07_final
2023-03-08 09:52:58	ga_ls8c_ard_3-2-1_096073_2023-03-08_final
2023-03-08 11:31:51	ga_ls8c_ard_3-2-1_112073_2023-03-08_final
2023-05-28 10:35:33	ga_ls8c_ard_3-2-1_103073_2023-05-28_final
2023-05-29 09:39:32	ga_ls8c_ard_3-2-1_094072_2023-05-29_final
2023-05-29 09:39:56	ga_ls8c_ard_3-2-1_094073_2023-05-29_final
2023-05-29 11:18:49	ga_ls8c_ard_3-2-1_110073_2023-05-29_final
2023-05-30 10:23:12	ga_ls8c_ard_3-2-1_101073_2023-05-30_final
2023-05-31 09:27:34	ga_ls8c_ard_3-2-1_092073_2023-05-30_final
2023-05-31 11:06:03	ga_ls8c_ard_3-2-1_108072_2023-05-31_final
2023-05-31 11:06:27	ga_ls8c_ard_3-2-1_108073_2023-05-31_final
2023-06-01 10:10:26	ga_ls8c_ard_3-2-1_099072_2023-06-01_final
2023-06-01 10:10:50	ga_ls8c_ard_3-2-1_099073_2023-06-01_final
2023-06-02 10:54:06	ga_ls8c_ard_3-2-1_106073_2023-06-02_final
2023-06-03 09:58:29	ga_ls8c_ard_3-2-1_097073_2023-06-03_final
2023-06-03 11:37:22	ga_ls8c_ard_3-2-1_113073_2023-06-03_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