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
2020-11-10 08:24:22	ga_ls8c_ard_3-2-1_080098_2020-11-09_final
2020-11-26 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-11-25_final
2020-12-05 08:11:04	ga_ls8c_ard_3-2-1_079080_2020-12-04_final
2020-12-17 10:09:04	ga_ls8c_ard_3-2-1_099066_2020-12-17_final
2020-12-21 08:11:03	ga_ls8c_ard_3-2-1_079080_2020-12-20_final
2020-12-25 12:37:46	ga_ls8c_ard_3-2-1_123067_2020-12-25_final
2021-01-02 10:09:00	ga_ls8c_ard_3-2-1_099066_2021-01-02_final
2021-01-10 12:37:40	ga_ls8c_ard_3-2-1_123067_2021-01-10_final
2021-05-30 08:17:38	ga_ls8c_ard_3-2-1_079098_2021-05-29_final
2021-06-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2021-06-12_final
2021-06-20 10:02:25	ga_ls8c_ard_3-2-1_098066_2021-06-20_final
2021-06-28 12:31:10	ga_ls8c_ard_3-2-1_122067_2021-06-28_final
2021-07-06 10:02:27	ga_ls8c_ard_3-2-1_098066_2021-07-06_final
2021-07-11 08:48:30	ga_ls8c_ard_3-2-1_085082_2021-07-10_final
2021-09-26 08:24:24	ga_ls8c_ard_3-2-1_080098_2021-09-25_final
2021-11-13 08:24:27	ga_ls8c_ard_3-2-1_080098_2021-11-12_final
2021-11-22 08:11:03	ga_ls8c_ard_3-2-1_079080_2021-11-21_final
2021-11-29 08:24:26	ga_ls8c_ard_3-2-1_080098_2021-11-28_final
2021-12-08 08:11:04	ga_ls8c_ard_3-2-1_079080_2021-12-07_final
2021-12-28 12:37:44	ga_ls8c_ard_3-2-1_123067_2021-12-28_final
2022-06-28 08:48:50	ga_ls8c_ard_3-2-1_085082_2022-06-27_final
2022-07-14 08:48:49	ga_ls8c_ard_3-2-1_085082_2022-07-13_final
2022-09-06 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-09-05_final
2022-10-15 08:24:35	ga_ls8c_ard_3-2-1_080098_2022-10-14_final
2022-12-23 10:09:06	ga_ls8c_ard_3-2-1_099066_2022-12-23_final
2023-01-15 08:42:44	ga_ls8c_ard_3-2-1_084082_2023-01-14_final
2023-01-31 08:42:48	ga_ls8c_ard_3-2-1_084082_2023-01-30_final
2023-03-14 12:31:15	ga_ls8c_ard_3-2-1_122067_2023-03-14_final
2023-03-17 08:17:51	ga_ls8c_ard_3-2-1_079098_2023-03-16_final
2023-03-22 10:02:25	ga_ls8c_ard_3-2-1_098066_2023-03-22_final
2023-03-30 12:31:05	ga_ls8c_ard_3-2-1_122067_2023-03-30_final
2023-04-07 10:02:13	ga_ls8c_ard_3-2-1_098066_2023-04-07_final
2023-05-17 12:30:32	ga_ls8c_ard_3-2-1_122067_2023-05-17_final
2023-05-30 08:47:54	ga_ls8c_ard_3-2-1_085082_2023-05-29_final
2023-06-15 08:48:03	ga_ls8c_ard_3-2-1_085082_2023-06-14_final
2023-08-24 08:10:42	ga_ls8c_ard_3-2-1_079080_2023-08-23_final
2023-09-09 08:10:42	ga_ls8c_ard_3-2-1_079080_2023-09-08_final
2024-01-09 08:48:42	ga_ls8c_ard_3-2-1_085082_2024-01-08_final
2024-01-11 10:08:51	ga_ls8c_ard_3-2-1_099066_2024-01-11_final
2024-01-14 14:09:54	ga_ls8c_ard_3-2-1_136097_2024-01-14_final
2024-01-15 08:10:50	ga_ls8c_ard_3-2-1_079080_2024-01-14_final
2024-01-15 08:18:02	ga_ls8c_ard_3-2-1_079098_2024-01-14_final
2024-01-18 08:42:32	ga_ls8c_ard_3-2-1_084082_2024-01-17_final
2024-01-19 12:37:34	ga_ls8c_ard_3-2-1_123067_2024-01-19_final
2024-01-20 10:02:39	ga_ls8c_ard_3-2-1_098066_2024-01-20_final
2024-01-22 08:24:09	ga_ls8c_ard_3-2-1_080098_2024-01-21_final
2024-01-23 14:03:39	ga_ls8c_ard_3-2-1_135097_2024-01-23_final
2024-01-25 08:48:37	ga_ls8c_ard_3-2-1_085082_2024-01-24_final
2024-01-27 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-01-27_final
2024-01-28 12:31:17	ga_ls8c_ard_3-2-1_122067_2024-01-28_final
2024-01-30 14:09:49	ga_ls8c_ard_3-2-1_136097_2024-01-30_final
2024-01-31 08:10:46	ga_ls8c_ard_3-2-1_079080_2024-01-30_final
2024-01-31 08:17:57	ga_ls8c_ard_3-2-1_079098_2024-01-30_final
2024-02-03 08:42:30	ga_ls8c_ard_3-2-1_084082_2024-02-02_final
2024-02-04 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-02-04_final
2024-02-05 10:02:39	ga_ls8c_ard_3-2-1_098066_2024-02-05_final
2024-02-07 08:24:11	ga_ls8c_ard_3-2-1_080098_2024-02-06_final
2024-02-08 14:03:42	ga_ls8c_ard_3-2-1_135097_2024-02-08_final
2024-02-10 08:48:42	ga_ls8c_ard_3-2-1_085082_2024-02-09_final
2024-02-13 12:31:22	ga_ls8c_ard_3-2-1_122067_2024-02-13_final
2024-02-15 14:09:50	ga_ls8c_ard_3-2-1_136097_2024-02-15_final
2024-02-16 08:10:47	ga_ls8c_ard_3-2-1_079080_2024-02-15_final
2024-02-16 08:17:58	ga_ls8c_ard_3-2-1_079098_2024-02-15_final
2024-02-19 08:42:29	ga_ls8c_ard_3-2-1_084082_2024-02-18_final
2024-02-21 10:02:37	ga_ls8c_ard_3-2-1_098066_2024-02-21_final
2024-02-23 08:24:08	ga_ls8c_ard_3-2-1_080098_2024-02-22_final
2024-02-24 14:03:38	ga_ls8c_ard_3-2-1_135097_2024-02-24_final
2024-02-26 08:48:37	ga_ls8c_ard_3-2-1_085082_2024-02-25_final
2024-02-28 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-02-28_final
2024-02-29 12:31:16	ga_ls8c_ard_3-2-1_122067_2024-02-29_final
2024-03-02 14:09:44	ga_ls8c_ard_3-2-1_136097_2024-03-02_final
2024-03-03 08:10:39	ga_ls8c_ard_3-2-1_079080_2024-03-02_final
2024-03-03 08:17:50	ga_ls8c_ard_3-2-1_079098_2024-03-02_final
2024-03-07 12:37:19	ga_ls8c_ard_3-2-1_123067_2024-03-07_final
2024-03-08 10:02:25	ga_ls8c_ard_3-2-1_098066_2024-03-08_final
2024-03-10 08:23:56	ga_ls8c_ard_3-2-1_080098_2024-03-09_final
2024-03-11 14:03:27	ga_ls8c_ard_3-2-1_135097_2024-03-11_final
2024-04-04 08:17:31	ga_ls8c_ard_3-2-1_079098_2024-04-03_final
2024-04-06 09:34:27	ga_ls8c_ard_3-2-1_093074_2024-04-06_final
2024-04-06 09:35:15	ga_ls8c_ard_3-2-1_093076_2024-04-06_final
2024-04-06 09:35:39	ga_ls8c_ard_3-2-1_093077_2024-04-06_final
2024-04-06 09:37:38	ga_ls8c_ard_3-2-1_093082_2024-04-06_final
2024-04-06 09:38:26	ga_ls8c_ard_3-2-1_093084_2024-04-06_final
2024-04-06 09:39:14	ga_ls8c_ard_3-2-1_093086_2024-04-06_final
2024-04-06 09:39:38	ga_ls8c_ard_3-2-1_093087_2024-04-06_final
2024-04-06 09:40:02	ga_ls8c_ard_3-2-1_093088_2024-04-06_final
2024-04-06 11:11:20	ga_ls8c_ard_3-2-1_109069_2024-04-06_final
2024-04-06 11:11:44	ga_ls8c_ard_3-2-1_109070_2024-04-06_final
2024-04-06 11:12:08	ga_ls8c_ard_3-2-1_109071_2024-04-06_final
2024-04-06 11:12:32	ga_ls8c_ard_3-2-1_109072_2024-04-06_final
2024-04-06 11:12:56	ga_ls8c_ard_3-2-1_109073_2024-04-06_final
2024-04-06 11:13:44	ga_ls8c_ard_3-2-1_109075_2024-04-06_final
2024-04-06 11:14:32	ga_ls8c_ard_3-2-1_109077_2024-04-06_final
2024-04-06 11:15:20	ga_ls8c_ard_3-2-1_109079_2024-04-06_final
2024-04-06 11:16:31	ga_ls8c_ard_3-2-1_109082_2024-04-06_final
2024-04-06 11:16:55	ga_ls8c_ard_3-2-1_109083_2024-04-06_final
2024-04-06 11:17:19	ga_ls8c_ard_3-2-1_109084_2024-04-06_final
2024-04-07 10:18:54	ga_ls8c_ard_3-2-1_100077_2024-04-07_final
2024-04-07 10:19:18	ga_ls8c_ard_3-2-1_100078_2024-04-07_final
2024-04-07 10:20:06	ga_ls8c_ard_3-2-1_100080_2024-04-07_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