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
2019-12-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2019-12-18_final
2020-01-24 12:37:35	ga_ls8c_ard_3-2-1_123067_2020-01-24_final
2020-07-01 08:42:11	ga_ls8c_ard_3-2-1_084082_2020-06-30_final
2021-02-11 12:37:33	ga_ls8c_ard_3-2-1_123067_2021-02-11_final
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2023-02-04 11:34:14	ga_ls8c_ard_3-2-1_112078_2023-02-04_final
2023-03-01 09:48:51	ga_ls8c_ard_3-2-1_095078_2023-03-01_final
2023-03-08 11:33:03	ga_ls8c_ard_3-2-1_112076_2023-03-08_final
2023-03-10 09:43:00	ga_ls8c_ard_3-2-1_094079_2023-03-10_final
2023-03-11 10:22:40	ga_ls8c_ard_3-2-1_101070_2023-03-11_final
2023-03-11 10:26:15	ga_ls8c_ard_3-2-1_101079_2023-03-11_final
2023-03-11 10:26:39	ga_ls8c_ard_3-2-1_101080_2023-03-11_final
2023-03-12 11:08:43	ga_ls8c_ard_3-2-1_108077_2023-03-12_final
2023-03-15 10:00:43	ga_ls8c_ard_3-2-1_097077_2023-03-15_final
2023-03-18 10:31:59	ga_ls8c_ard_3-2-1_102078_2023-03-18_final
2023-03-21 11:04:26	ga_ls8c_ard_3-2-1_107082_2023-03-21_final
2023-03-23 10:50:27	ga_ls8c_ard_3-2-1_105078_2023-03-23_final
2023-03-24 11:32:54	ga_ls8c_ard_3-2-1_112076_2023-03-24_final
2023-03-31 11:39:02	ga_ls8c_ard_3-2-1_113076_2023-03-31_final
2023-04-06 11:04:14	ga_ls8c_ard_3-2-1_107082_2023-04-06_final
2023-04-09 11:33:04	ga_ls8c_ard_3-2-1_112077_2023-04-09_final
2023-04-18 11:27:36	ga_ls8c_ard_3-2-1_111079_2023-04-18_final
2023-04-19 10:30:46	ga_ls8c_ard_3-2-1_102076_2023-04-19_final
2023-04-25 11:33:47	ga_ls8c_ard_3-2-1_112079_2023-04-25_final
2023-04-27 09:42:31	ga_ls8c_ard_3-2-1_094079_2023-04-27_final
2023-05-02 10:02:13	ga_ls8c_ard_3-2-1_097082_2023-05-02_final
2023-05-04 09:47:26	ga_ls8c_ard_3-2-1_095076_2023-05-04_final
2023-05-11 11:32:23	ga_ls8c_ard_3-2-1_112076_2023-05-11_final
2023-05-15 11:08:25	ga_ls8c_ard_3-2-1_108078_2023-05-15_final
2023-05-16 10:13:59	ga_ls8c_ard_3-2-1_099081_2023-05-16_final
2023-06-01 10:14:01	ga_ls8c_ard_3-2-1_099081_2023-06-01_final
2023-06-03 11:39:22	ga_ls8c_ard_3-2-1_113078_2023-06-03_final
2023-06-10 10:08:21	ga_ls8c_ard_3-2-1_098082_2023-06-10_final
2023-06-14 11:21:21	ga_ls8c_ard_3-2-1_110079_2023-06-14_final
2023-06-26 10:06:04	ga_ls8c_ard_3-2-1_098076_2023-06-26_final
2023-07-12 11:47:07	ga_ls8c_ard_3-2-1_114081_2023-07-12_final
2023-07-14 09:53:29	ga_ls8c_ard_3-2-1_096075_2023-07-14_final
2023-07-14 09:53:53	ga_ls8c_ard_3-2-1_096076_2023-07-14_final
2023-07-14 11:32:46	ga_ls8c_ard_3-2-1_112076_2023-07-14_final
2023-07-16 09:41:55	ga_ls8c_ard_3-2-1_094077_2023-07-16_final
2023-07-23 11:27:49	ga_ls8c_ard_3-2-1_111079_2023-07-23_final
2023-07-25 11:15:29	ga_ls8c_ard_3-2-1_109079_2023-07-25_final
2023-07-30 09:53:36	ga_ls8c_ard_3-2-1_096075_2023-07-30_final
2023-08-01 11:21:44	ga_ls8c_ard_3-2-1_110079_2023-08-01_final
2023-08-03 11:08:36	ga_ls8c_ard_3-2-1_108077_2023-08-03_final
2023-08-06 10:02:37	ga_ls8c_ard_3-2-1_097082_2023-08-06_final
2023-08-09 10:32:19	ga_ls8c_ard_3-2-1_102079_2023-08-09_final
2023-08-22 09:59:57	ga_ls8c_ard_3-2-1_097075_2023-08-22_final
2023-08-30 10:50:36	ga_ls8c_ard_3-2-1_105078_2023-08-30_final
2023-08-31 09:53:47	ga_ls8c_ard_3-2-1_096075_2023-08-31_final
2023-08-31 09:55:46	ga_ls8c_ard_3-2-1_096080_2023-08-31_final
2023-08-31 11:33:04	ga_ls8c_ard_3-2-1_112076_2023-08-31_final
2023-09-07 09:59:55	ga_ls8c_ard_3-2-1_097075_2023-09-07_final
2023-09-10 10:31:16	ga_ls8c_ard_3-2-1_102076_2023-09-10_final
2023-09-10 10:32:28	ga_ls8c_ard_3-2-1_102079_2023-09-10_final
2023-09-11 11:12:09	ga_ls8c_ard_3-2-1_109070_2023-09-11_final
2023-09-14 10:08:35	ga_ls8c_ard_3-2-1_098081_2023-09-14_final
2023-09-21 10:14:47	ga_ls8c_ard_3-2-1_099081_2023-09-21_final
2023-09-25 09:48:06	ga_ls8c_ard_3-2-1_095076_2023-09-25_final
2023-09-25 11:27:23	ga_ls8c_ard_3-2-1_111077_2023-09-25_final
2023-09-30 10:08:40	ga_ls8c_ard_3-2-1_098081_2023-09-30_final
2023-10-03 10:37:10	ga_ls8c_ard_3-2-1_103075_2023-10-03_final
2023-10-10 10:44:58	ga_ls8c_ard_3-2-1_104079_2023-10-10_final
2023-10-11 09:49:21	ga_ls8c_ard_3-2-1_095079_2023-10-11_final
2023-10-12 10:31:26	ga_ls8c_ard_3-2-1_102076_2023-10-12_final
2023-10-14 11:58:21	ga_ls8c_ard_3-2-1_116077_2023-10-14_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
2023-10-27 09:49:24	ga_ls8c_ard_3-2-1_095079_2023-10-27_final
2023-11-01 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-11-01_final
2023-11-01 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-11-01_final
2023-11-02 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-02_final
2023-11-03 11:33:40	ga_ls8c_ard_3-2-1_112077_2023-11-03_final
2023-11-06 10:26:52	ga_ls8c_ard_3-2-1_101080_2023-11-06_final
2023-11-10 10:02:52	ga_ls8c_ard_3-2-1_097082_2023-11-10_final
2023-11-17 10:06:45	ga_ls8c_ard_3-2-1_098076_2023-11-17_final
2023-11-17 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-11-17_final
2023-11-19 11:34:05	ga_ls8c_ard_3-2-1_112078_2023-11-19_final
2023-11-22 10:26:55	ga_ls8c_ard_3-2-1_101080_2023-11-22_final
2023-11-28 09:49:02	ga_ls8c_ard_3-2-1_095078_2023-11-28_final
2023-11-28 09:49:26	ga_ls8c_ard_3-2-1_095079_2023-11-28_final
2023-12-06 10:37:08	ga_ls8c_ard_3-2-1_103075_2023-12-06_final
2023-12-14 09:48:58	ga_ls8c_ard_3-2-1_095078_2023-12-14_final
2023-12-22 10:37:16	ga_ls8c_ard_3-2-1_103075_2023-12-22_final
2024-01-01 09:38:10	ga_ls8c_ard_3-2-1_093082_2024-01-01_final
2024-01-02 11:58:18	ga_ls8c_ard_3-2-1_116077_2024-01-02_final
2024-01-03 11:00:40	ga_ls8c_ard_3-2-1_107072_2024-01-03_final
2024-01-08 11:22:00	ga_ls8c_ard_3-2-1_110079_2024-01-08_final
2024-01-15 09:48:32	ga_ls8c_ard_3-2-1_095077_2024-01-15_final
2024-01-21 10:50:41	ga_ls8c_ard_3-2-1_105078_2024-01-21_final
2024-01-22 11:33:56	ga_ls8c_ard_3-2-1_112078_2024-01-22_final
2024-02-07 11:34:22	ga_ls8c_ard_3-2-1_112079_2024-02-07_final
2024-02-08 10:37:09	ga_ls8c_ard_3-2-1_103075_2024-02-08_final
2024-02-26 10:27:06	ga_ls8c_ard_3-2-1_101081_2024-02-26_final
2024-03-03 09:49:32	ga_ls8c_ard_3-2-1_095080_2024-03-03_final
2024-03-08 10:08:48	ga_ls8c_ard_3-2-1_098082_2024-03-08_final
2024-03-13 10:26:31	ga_ls8c_ard_3-2-1_101080_2024-03-13_final
2024-03-26 11:32:42	ga_ls8c_ard_3-2-1_112076_2024-03-26_final
2024-04-03 10:44:02	ga_ls8c_ard_3-2-1_104078_2024-04-03_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years