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
2016-12-30 12:37:41	ga_ls8c_ard_3-2-1_123067_2016-12-30_final
2020-04-25 08:10:14	ga_ls8c_ard_3-2-1_079080_2020-04-24_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2022-10-06 10:00:34	ga_ls8c_ard_3-2-1_097075_2022-10-06_final
2022-10-06 10:03:21	ga_ls8c_ard_3-2-1_097082_2022-10-06_final
2022-10-06 11:39:51	ga_ls8c_ard_3-2-1_113076_2022-10-06_final
2022-10-14 10:51:06	ga_ls8c_ard_3-2-1_105078_2022-10-14_final
2022-11-19 10:23:12	ga_ls8c_ard_3-2-1_101070_2022-11-19_final
2022-11-23 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-11-23_final
2022-12-06 11:09:42	ga_ls8c_ard_3-2-1_108078_2022-12-06_final
2022-12-09 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-12-09_final
2022-12-10 10:46:09	ga_ls8c_ard_3-2-1_104081_2022-12-10_final
2022-12-22 11:09:31	ga_ls8c_ard_3-2-1_108078_2022-12-22_final
2023-02-15 09:38:18	ga_ls8c_ard_3-2-1_093082_2023-02-15_final
2023-02-21 10:39:59	ga_ls8c_ard_3-2-1_103082_2023-02-21_final
2023-02-27 10:02:49	ga_ls8c_ard_3-2-1_097082_2023-02-27_final
2023-03-09 10:38:37	ga_ls8c_ard_3-2-1_103079_2023-03-09_final
2023-03-10 09:44:35	ga_ls8c_ard_3-2-1_094083_2023-03-10_final
2023-03-15 11:39:12	ga_ls8c_ard_3-2-1_113076_2023-03-15_final
2023-03-18 10:31:59	ga_ls8c_ard_3-2-1_102078_2023-03-18_final
2023-03-22 10:08:48	ga_ls8c_ard_3-2-1_098082_2023-03-22_final
2023-03-23 10:50:27	ga_ls8c_ard_3-2-1_105078_2023-03-23_final
2023-03-24 11:33:42	ga_ls8c_ard_3-2-1_112078_2023-03-24_final
2023-04-02 09:47:46	ga_ls8c_ard_3-2-1_095076_2023-04-02_final
2023-04-09 09:54:11	ga_ls8c_ard_3-2-1_096077_2023-04-09_final
2023-04-11 09:42:11	ga_ls8c_ard_3-2-1_094078_2023-04-11_final
2023-04-20 09:35:33	ga_ls8c_ard_3-2-1_093077_2023-04-20_final
2023-04-25 09:53:18	ga_ls8c_ard_3-2-1_096075_2023-04-25_final
2023-04-25 11:33:47	ga_ls8c_ard_3-2-1_112079_2023-04-25_final
2023-05-14 10:25:34	ga_ls8c_ard_3-2-1_101079_2023-05-14_final
2023-05-16 10:13:59	ga_ls8c_ard_3-2-1_099081_2023-05-16_final
2023-05-18 11:39:18	ga_ls8c_ard_3-2-1_113078_2023-05-18_final
2023-05-23 11:57:53	ga_ls8c_ard_3-2-1_116078_2023-05-23_final
2023-05-29 09:42:20	ga_ls8c_ard_3-2-1_094079_2023-05-29_final
2023-06-01 10:14:01	ga_ls8c_ard_3-2-1_099081_2023-06-01_final
2023-06-03 11:38:34	ga_ls8c_ard_3-2-1_113076_2023-06-03_final
2023-06-05 09:47:45	ga_ls8c_ard_3-2-1_095077_2023-06-05_final
2023-06-10 10:08:21	ga_ls8c_ard_3-2-1_098082_2023-06-10_final
2023-06-13 10:34:54	ga_ls8c_ard_3-2-1_103071_2023-06-13_final
2023-06-13 10:36:53	ga_ls8c_ard_3-2-1_103076_2023-06-13_final
2023-06-19 10:02:13	ga_ls8c_ard_3-2-1_097082_2023-06-19_final
2023-07-02 11:08:22	ga_ls8c_ard_3-2-1_108077_2023-07-02_final
2023-07-05 11:38:54	ga_ls8c_ard_3-2-1_113076_2023-07-05_final
2023-07-05 11:39:42	ga_ls8c_ard_3-2-1_113078_2023-07-05_final
2023-07-07 11:28:09	ga_ls8c_ard_3-2-1_111080_2023-07-07_final
2023-07-14 09:53:53	ga_ls8c_ard_3-2-1_096076_2023-07-14_final
2023-07-14 09:54:17	ga_ls8c_ard_3-2-1_096077_2023-07-14_final
2023-07-14 09:56:41	ga_ls8c_ard_3-2-1_096083_2023-07-14_final
2023-07-16 11:22:00	ga_ls8c_ard_3-2-1_110080_2023-07-16_final
2023-07-19 10:14:25	ga_ls8c_ard_3-2-1_099081_2023-07-19_final
2023-07-21 10:02:27	ga_ls8c_ard_3-2-1_097082_2023-07-21_final
2023-07-23 11:28:13	ga_ls8c_ard_3-2-1_111080_2023-07-23_final
2023-07-30 09:54:00	ga_ls8c_ard_3-2-1_096076_2023-07-30_final
2023-07-30 11:34:05	ga_ls8c_ard_3-2-1_112079_2023-07-30_final
2023-08-01 09:42:51	ga_ls8c_ard_3-2-1_094079_2023-08-01_final
2023-08-01 11:22:08	ga_ls8c_ard_3-2-1_110080_2023-08-01_final
2023-08-08 11:27:56	ga_ls8c_ard_3-2-1_111079_2023-08-08_final
2023-08-15 09:53:42	ga_ls8c_ard_3-2-1_096075_2023-08-15_final
2023-08-15 09:54:06	ga_ls8c_ard_3-2-1_096076_2023-08-15_final
2023-08-22 11:40:02	ga_ls8c_ard_3-2-1_113078_2023-08-22_final
2023-08-31 09:53:47	ga_ls8c_ard_3-2-1_096075_2023-08-31_final
2023-08-31 09:54:35	ga_ls8c_ard_3-2-1_096077_2023-08-31_final
2023-09-02 09:42:36	ga_ls8c_ard_3-2-1_094078_2023-09-02_final
2023-09-02 09:43:00	ga_ls8c_ard_3-2-1_094079_2023-09-02_final
2023-09-07 11:39:36	ga_ls8c_ard_3-2-1_113077_2023-09-07_final
2023-09-08 10:43:36	ga_ls8c_ard_3-2-1_104076_2023-09-08_final
2023-09-10 10:31:16	ga_ls8c_ard_3-2-1_102076_2023-09-10_final
2023-09-14 10:08:35	ga_ls8c_ard_3-2-1_098081_2023-09-14_final
2023-09-16 11:33:55	ga_ls8c_ard_3-2-1_112078_2023-09-16_final
2023-09-16 11:34:19	ga_ls8c_ard_3-2-1_112079_2023-09-16_final
2023-09-18 09:42:41	ga_ls8c_ard_3-2-1_094078_2023-09-18_final
2023-09-19 10:27:09	ga_ls8c_ard_3-2-1_101081_2023-09-19_final
2023-09-25 09:48:53	ga_ls8c_ard_3-2-1_095078_2023-09-25_final
2023-09-30 10:08:40	ga_ls8c_ard_3-2-1_098081_2023-09-30_final
2023-10-02 11:33:11	ga_ls8c_ard_3-2-1_112076_2023-10-02_final
2023-10-04 09:43:56	ga_ls8c_ard_3-2-1_094081_2023-10-04_final
2023-10-09 10:02:54	ga_ls8c_ard_3-2-1_097082_2023-10-09_final
2023-10-10 10:44:58	ga_ls8c_ard_3-2-1_104079_2023-10-10_final
2023-10-17 10:50:45	ga_ls8c_ard_3-2-1_105078_2023-10-17_final
2023-10-18 09:54:20	ga_ls8c_ard_3-2-1_096076_2023-10-18_final
2023-10-19 10:38:47	ga_ls8c_ard_3-2-1_103079_2023-10-19_final
2023-10-20 09:44:45	ga_ls8c_ard_3-2-1_094083_2023-10-20_final
2023-10-26 10:45:01	ga_ls8c_ard_3-2-1_104079_2023-10-26_final
2023-11-02 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-02_final
2023-11-05 09:42:49	ga_ls8c_ard_3-2-1_094078_2023-11-05_final
2023-11-07 11:09:18	ga_ls8c_ard_3-2-1_108078_2023-11-07_final
2023-11-12 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-11-12_final
2023-11-16 12:37:40	ga_ls8c_ard_3-2-1_123067_2023-11-16_final
2023-11-21 09:44:03	ga_ls8c_ard_3-2-1_094081_2023-11-21_final
2023-11-23 11:09:23	ga_ls8c_ard_3-2-1_108078_2023-11-23_final
2023-12-05 09:54:18	ga_ls8c_ard_3-2-1_096076_2023-12-05_final
2023-12-07 11:21:35	ga_ls8c_ard_3-2-1_110078_2023-12-07_final
2023-12-12 10:00:07	ga_ls8c_ard_3-2-1_097075_2023-12-12_final
2023-12-23 09:42:50	ga_ls8c_ard_3-2-1_094078_2023-12-23_final
2023-12-25 11:09:21	ga_ls8c_ard_3-2-1_108078_2023-12-25_final
2024-02-09 09:42:43	ga_ls8c_ard_3-2-1_094078_2024-02-09_final
2024-02-18 09:38:06	ga_ls8c_ard_3-2-1_093082_2024-02-18_final
2024-02-27 11:08:45	ga_ls8c_ard_3-2-1_108077_2024-02-27_final
2024-03-03 11:28:01	ga_ls8c_ard_3-2-1_111079_2024-03-03_final
2024-03-10 09:54:02	ga_ls8c_ard_3-2-1_096076_2024-03-10_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