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
2018-11-05 08:24:00	ga_ls8c_ard_3-2-1_080098_2018-11-04_final
2018-11-08 08:48:31	ga_ls8c_ard_3-2-1_085082_2018-11-07_final
2018-11-21 08:24:01	ga_ls8c_ard_3-2-1_080098_2018-11-20_final
2018-11-30 08:17:49	ga_ls8c_ard_3-2-1_079098_2018-11-29_final
2018-12-07 08:23:59	ga_ls8c_ard_3-2-1_080098_2018-12-06_final
2018-12-10 08:48:28	ga_ls8c_ard_3-2-1_085082_2018-12-09_final
2018-12-23 08:23:57	ga_ls8c_ard_3-2-1_080098_2018-12-22_final
2019-01-01 08:17:46	ga_ls8c_ard_3-2-1_079098_2018-12-31_final
2022-10-31 08:24:43	ga_ls8c_ard_3-2-1_080098_2022-10-30_final
2022-11-03 08:49:14	ga_ls8c_ard_3-2-1_085082_2022-11-02_final
2022-11-09 08:18:31	ga_ls8c_ard_3-2-1_079098_2022-11-08_final
2022-11-12 08:43:00	ga_ls8c_ard_3-2-1_084082_2022-11-11_final
2022-11-16 08:24:37	ga_ls8c_ard_3-2-1_080098_2022-11-15_final
2022-11-19 08:49:07	ga_ls8c_ard_3-2-1_085082_2022-11-18_final
2022-11-25 08:18:27	ga_ls8c_ard_3-2-1_079098_2022-11-24_final
2022-11-28 08:42:58	ga_ls8c_ard_3-2-1_084082_2022-11-27_final
2022-12-02 08:24:39	ga_ls8c_ard_3-2-1_080098_2022-12-01_final
2022-12-05 08:49:09	ga_ls8c_ard_3-2-1_085082_2022-12-04_final
2022-12-11 08:18:26	ga_ls8c_ard_3-2-1_079098_2022-12-10_final
2022-12-14 08:42:55	ga_ls8c_ard_3-2-1_084082_2022-12-13_final
2022-12-18 08:24:32	ga_ls8c_ard_3-2-1_080098_2022-12-17_final
2022-12-21 08:49:00	ga_ls8c_ard_3-2-1_085082_2022-12-20_final
2022-12-27 08:18:18	ga_ls8c_ard_3-2-1_079098_2022-12-26_final
2022-12-30 08:42:50	ga_ls8c_ard_3-2-1_084082_2022-12-29_final
2023-01-06 08:49:00	ga_ls8c_ard_3-2-1_085082_2023-01-05_final
2023-01-12 08:18:16	ga_ls8c_ard_3-2-1_079098_2023-01-11_final
2023-01-15 08:42:44	ga_ls8c_ard_3-2-1_084082_2023-01-14_final
2023-01-19 08:24:22	ga_ls8c_ard_3-2-1_080098_2023-01-18_final
2023-01-22 08:48:56	ga_ls8c_ard_3-2-1_085082_2023-01-21_final
2023-02-04 08:24:28	ga_ls8c_ard_3-2-1_080098_2023-02-03_final
2023-02-13 08:18:11	ga_ls8c_ard_3-2-1_079098_2023-02-12_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-02-23 08:48:42	ga_ls8c_ard_3-2-1_085082_2023-02-22_final
2023-03-01 08:17:57	ga_ls8c_ard_3-2-1_079098_2023-02-28_final
2023-03-11 08:48:34	ga_ls8c_ard_3-2-1_085082_2023-03-10_final
2023-03-17 08:17:51	ga_ls8c_ard_3-2-1_079098_2023-03-16_final
2023-03-20 08:42:19	ga_ls8c_ard_3-2-1_084082_2023-03-19_final
2023-03-24 08:23:55	ga_ls8c_ard_3-2-1_080098_2023-03-23_final
2023-04-12 08:48:09	ga_ls8c_ard_3-2-1_085082_2023-04-11_final
2023-04-18 08:17:26	ga_ls8c_ard_3-2-1_079098_2023-04-17_final
2023-04-25 08:23:36	ga_ls8c_ard_3-2-1_080098_2023-04-24_final
2023-04-28 08:48:06	ga_ls8c_ard_3-2-1_085082_2023-04-27_final
2023-05-20 08:17:11	ga_ls8c_ard_3-2-1_079098_2023-05-19_final
2023-05-23 08:41:43	ga_ls8c_ard_3-2-1_084082_2023-05-22_final
2023-05-30 08:47:54	ga_ls8c_ard_3-2-1_085082_2023-05-29_final
2023-06-05 08:17:15	ga_ls8c_ard_3-2-1_079098_2023-06-04_final
2023-06-08 08:41:49	ga_ls8c_ard_3-2-1_084082_2023-06-07_final
2023-08-08 08:17:46	ga_ls8c_ard_3-2-1_079098_2023-08-07_final
2023-08-11 08:42:16	ga_ls8c_ard_3-2-1_084082_2023-08-10_final
2023-08-15 08:24:00	ga_ls8c_ard_3-2-1_080098_2023-08-14_final
2023-08-18 08:48:33	ga_ls8c_ard_3-2-1_085082_2023-08-17_final
2023-08-24 08:17:54	ga_ls8c_ard_3-2-1_079098_2023-08-23_final
2023-08-27 08:42:25	ga_ls8c_ard_3-2-1_084082_2023-08-26_final
2023-08-31 08:24:05	ga_ls8c_ard_3-2-1_080098_2023-08-30_final
2023-09-03 08:48:35	ga_ls8c_ard_3-2-1_085082_2023-09-02_final
2023-09-09 08:17:54	ga_ls8c_ard_3-2-1_079098_2023-09-08_final
2023-09-12 08:42:27	ga_ls8c_ard_3-2-1_084082_2023-09-11_final
2023-09-16 08:24:09	ga_ls8c_ard_3-2-1_080098_2023-09-15_final
2023-09-19 08:48:40	ga_ls8c_ard_3-2-1_085082_2023-09-18_final
2023-09-25 08:18:00	ga_ls8c_ard_3-2-1_079098_2023-09-24_final
2023-09-28 08:42:32	ga_ls8c_ard_3-2-1_084082_2023-09-27_final
2023-10-02 08:24:12	ga_ls8c_ard_3-2-1_080098_2023-10-01_final
2023-10-05 08:48:42	ga_ls8c_ard_3-2-1_085082_2023-10-04_final
2023-10-11 08:18:04	ga_ls8c_ard_3-2-1_079098_2023-10-10_final
2023-10-14 08:42:35	ga_ls8c_ard_3-2-1_084082_2023-10-13_final
2023-10-18 08:24:14	ga_ls8c_ard_3-2-1_080098_2023-10-17_final
2023-10-27 08:18:07	ga_ls8c_ard_3-2-1_079098_2023-10-26_final
2023-10-30 08:42:38	ga_ls8c_ard_3-2-1_084082_2023-10-29_final
2023-11-03 08:24:17	ga_ls8c_ard_3-2-1_080098_2023-11-02_final
2023-11-06 08:48:47	ga_ls8c_ard_3-2-1_085082_2023-11-05_final
2023-11-12 08:18:03	ga_ls8c_ard_3-2-1_079098_2023-11-11_final
2023-11-15 08:42:36	ga_ls8c_ard_3-2-1_084082_2023-11-14_final
2023-11-19 08:24:18	ga_ls8c_ard_3-2-1_080098_2023-11-18_final
2023-11-22 08:48:50	ga_ls8c_ard_3-2-1_085082_2023-11-21_final
2023-11-28 08:18:08	ga_ls8c_ard_3-2-1_079098_2023-11-27_final
2023-12-01 08:42:37	ga_ls8c_ard_3-2-1_084082_2023-11-30_final
2023-12-14 08:18:05	ga_ls8c_ard_3-2-1_079098_2023-12-13_final
2023-12-17 08:42:37	ga_ls8c_ard_3-2-1_084082_2023-12-16_final
2023-12-21 08:24:18	ga_ls8c_ard_3-2-1_080098_2023-12-20_final
2023-12-24 08:48:48	ga_ls8c_ard_3-2-1_085082_2023-12-23_final
2023-12-30 08:18:04	ga_ls8c_ard_3-2-1_079098_2023-12-29_final
2024-01-02 08:42:32	ga_ls8c_ard_3-2-1_084082_2024-01-01_final
2024-01-22 08:24:09	ga_ls8c_ard_3-2-1_080098_2024-01-21_final
2024-02-03 08:42:30	ga_ls8c_ard_3-2-1_084082_2024-02-02_final
2024-02-07 08:24:11	ga_ls8c_ard_3-2-1_080098_2024-02-06_final
2024-02-19 08:42:29	ga_ls8c_ard_3-2-1_084082_2024-02-18_final
2024-02-23 08:24:08	ga_ls8c_ard_3-2-1_080098_2024-02-22_final
2024-02-26 08:48:37	ga_ls8c_ard_3-2-1_085082_2024-02-25_final
2024-03-03 08:17:50	ga_ls8c_ard_3-2-1_079098_2024-03-02_final
2024-03-06 08:42:18	ga_ls8c_ard_3-2-1_084082_2024-03-05_final
2024-03-10 08:23:56	ga_ls8c_ard_3-2-1_080098_2024-03-09_final
2024-03-13 08:47:38	ga_ls8c_ard_3-2-1_085080_2024-03-12_interim
2024-03-13 08:48:02	ga_ls8c_ard_3-2-1_085081_2024-03-12_interim
2024-03-13 08:48:26	ga_ls8c_ard_3-2-1_085082_2024-03-12_final
2024-03-19 08:17:41	ga_ls8c_ard_3-2-1_079098_2024-03-18_final
2024-03-22 08:42:09	ga_ls8c_ard_3-2-1_084082_2024-03-21_final
2024-03-29 08:47:23	ga_ls8c_ard_3-2-1_085080_2024-03-28_interim
2024-03-29 08:47:47	ga_ls8c_ard_3-2-1_085081_2024-03-28_interim
2024-03-29 08:48:11	ga_ls8c_ard_3-2-1_085082_2024-03-28_final
2024-04-04 08:17:31	ga_ls8c_ard_3-2-1_079098_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years