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
2020-10-09 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-10-08_final
2020-10-18 08:11:03	ga_ls8c_ard_3-2-1_079080_2020-10-17_final
2020-11-15 10:09:01	ga_ls8c_ard_3-2-1_099066_2020-11-15_final
2020-11-23 12:37:47	ga_ls8c_ard_3-2-1_123067_2020-11-23_final
2020-11-29 08:48:56	ga_ls8c_ard_3-2-1_085082_2020-11-28_final
2020-12-01 10:09:05	ga_ls8c_ard_3-2-1_099066_2020-12-01_final
2020-12-12 08:24:26	ga_ls8c_ard_3-2-1_080098_2020-12-11_final
2020-12-28 08:24:23	ga_ls8c_ard_3-2-1_080098_2020-12-27_final
2021-01-06 08:10:58	ga_ls8c_ard_3-2-1_079080_2021-01-05_final
2021-01-18 10:08:53	ga_ls8c_ard_3-2-1_099066_2021-01-18_final
2021-01-22 08:10:51	ga_ls8c_ard_3-2-1_079080_2021-01-21_final
2021-01-26 12:37:36	ga_ls8c_ard_3-2-1_123067_2021-01-26_final
2021-02-11 12:37:33	ga_ls8c_ard_3-2-1_123067_2021-02-11_final
2021-02-19 10:08:47	ga_ls8c_ard_3-2-1_099066_2021-02-19_final
2021-02-23 08:10:45	ga_ls8c_ard_3-2-1_079080_2021-02-22_final
2021-04-08 10:08:28	ga_ls8c_ard_3-2-1_099066_2021-04-08_final
2021-04-25 12:30:53	ga_ls8c_ard_3-2-1_122067_2021-04-25_final
2021-04-28 08:17:29	ga_ls8c_ard_3-2-1_079098_2021-04-27_final
2021-05-11 12:30:49	ga_ls8c_ard_3-2-1_122067_2021-05-11_final
2021-05-19 10:02:11	ga_ls8c_ard_3-2-1_098066_2021-05-19_final
2021-06-09 08:48:24	ga_ls8c_ard_3-2-1_085082_2021-06-08_final
2021-07-14 12:31:11	ga_ls8c_ard_3-2-1_122067_2021-07-14_final
2021-07-22 10:02:31	ga_ls8c_ard_3-2-1_098066_2021-07-22_final
2021-07-27 08:48:36	ga_ls8c_ard_3-2-1_085082_2021-07-26_final
2021-08-07 10:02:39	ga_ls8c_ard_3-2-1_098066_2021-08-07_final
2021-08-12 08:48:43	ga_ls8c_ard_3-2-1_085082_2021-08-11_final
2021-08-15 12:31:25	ga_ls8c_ard_3-2-1_122067_2021-08-15_final
2021-08-25 08:24:16	ga_ls8c_ard_3-2-1_080098_2021-08-24_final
2021-09-13 08:48:52	ga_ls8c_ard_3-2-1_085082_2021-09-12_final
2021-09-19 08:11:00	ga_ls8c_ard_3-2-1_079080_2021-09-18_final
2021-11-10 12:37:50	ga_ls8c_ard_3-2-1_123067_2021-11-10_final
2021-11-18 10:09:03	ga_ls8c_ard_3-2-1_099066_2021-11-18_final
2021-11-19 12:31:36	ga_ls8c_ard_3-2-1_122067_2021-11-19_final
2021-12-04 10:09:06	ga_ls8c_ard_3-2-1_099066_2021-12-04_final
2021-12-15 08:24:26	ga_ls8c_ard_3-2-1_080098_2021-12-14_final
2021-12-24 08:11:01	ga_ls8c_ard_3-2-1_079080_2021-12-23_final
2022-01-09 08:10:57	ga_ls8c_ard_3-2-1_079080_2022-01-08_final
2022-01-16 08:24:18	ga_ls8c_ard_3-2-1_080098_2022-01-15_final
2022-01-29 12:37:36	ga_ls8c_ard_3-2-1_123067_2022-01-29_final
2022-02-13 08:42:30	ga_ls8c_ard_3-2-1_084082_2022-02-12_final
2022-02-22 10:08:46	ga_ls8c_ard_3-2-1_099066_2022-02-22_final
2022-04-28 12:31:02	ga_ls8c_ard_3-2-1_122067_2022-04-28_final
2022-05-14 12:31:12	ga_ls8c_ard_3-2-1_122067_2022-05-14_final
2022-07-30 08:49:00	ga_ls8c_ard_3-2-1_085082_2022-07-29_final
2022-08-15 08:49:07	ga_ls8c_ard_3-2-1_085082_2022-08-14_final
2022-08-28 08:24:37	ga_ls8c_ard_3-2-1_080098_2022-08-27_final
2022-09-13 08:24:42	ga_ls8c_ard_3-2-1_080098_2022-09-12_final
2022-09-22 08:11:22	ga_ls8c_ard_3-2-1_079080_2022-09-21_final
2022-10-20 10:09:18	ga_ls8c_ard_3-2-1_099066_2022-10-20_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
2022-11-05 10:09:22	ga_ls8c_ard_3-2-1_099066_2022-11-05_final
2022-11-13 12:38:02	ga_ls8c_ard_3-2-1_123067_2022-11-13_final
2023-01-08 10:09:08	ga_ls8c_ard_3-2-1_099066_2023-01-08_final
2023-02-16 08:42:40	ga_ls8c_ard_3-2-1_084082_2023-02-15_final
2023-03-04 08:42:27	ga_ls8c_ard_3-2-1_084082_2023-03-03_final
2023-03-29 10:08:32	ga_ls8c_ard_3-2-1_099066_2023-03-29_final
2023-04-15 12:30:50	ga_ls8c_ard_3-2-1_122067_2023-04-15_final
2023-05-01 12:30:45	ga_ls8c_ard_3-2-1_122067_2023-05-01_final
2023-05-09 10:01:55	ga_ls8c_ard_3-2-1_098066_2023-05-09_final
2023-05-20 08:17:11	ga_ls8c_ard_3-2-1_079098_2023-05-19_final
2023-07-01 08:48:12	ga_ls8c_ard_3-2-1_085082_2023-06-30_final
2023-07-04 12:30:55	ga_ls8c_ard_3-2-1_122067_2023-07-04_final
2023-07-28 10:02:21	ga_ls8c_ard_3-2-1_098066_2023-07-28_final
2023-08-08 08:10:34	ga_ls8c_ard_3-2-1_079080_2023-08-07_final
2023-08-15 08:24:00	ga_ls8c_ard_3-2-1_080098_2023-08-14_final
2023-09-21 10:08:48	ga_ls8c_ard_3-2-1_099066_2023-09-21_final
2023-09-25 08:10:48	ga_ls8c_ard_3-2-1_079080_2023-09-24_final
2023-10-07 10:08:51	ga_ls8c_ard_3-2-1_099066_2023-10-07_final
2023-10-27 08:10:55	ga_ls8c_ard_3-2-1_079080_2023-10-26_final
2023-11-24 10:08:59	ga_ls8c_ard_3-2-1_099066_2023-11-24_final
2023-11-28 08:10:57	ga_ls8c_ard_3-2-1_079080_2023-11-27_final
2023-12-01 08:42:37	ga_ls8c_ard_3-2-1_084082_2023-11-30_final
2023-12-14 08:10:53	ga_ls8c_ard_3-2-1_079080_2023-12-13_final
2023-12-17 08:42:37	ga_ls8c_ard_3-2-1_084082_2023-12-16_final
2024-01-11 10:08:51	ga_ls8c_ard_3-2-1_099066_2024-01-11_final
2024-01-12 12:31:24	ga_ls8c_ard_3-2-1_122067_2024-01-12_final
2024-01-20 10:02:39	ga_ls8c_ard_3-2-1_098066_2024-01-20_final
2024-01-27 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-01-27_final
2024-02-03 08:42:30	ga_ls8c_ard_3-2-1_084082_2024-02-02_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
2024-02-21 10:02:37	ga_ls8c_ard_3-2-1_098066_2024-02-21_final
2024-02-24 14:03:38	ga_ls8c_ard_3-2-1_135097_2024-02-24_final
2024-02-28 10:08:44	ga_ls8c_ard_3-2-1_099066_2024-02-28_final
2024-03-06 08:42:18	ga_ls8c_ard_3-2-1_084082_2024-03-05_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 09:39:38	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 11:12:56	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 11:15:20	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 10:17:18	ga_ls8c_ard_3-2-1_100073_2024-04-07_final
2024-04-07 10:18:06	ga_ls8c_ard_3-2-1_100075_2024-04-07_final
2024-04-07 11:57:23	ga_ls8c_ard_3-2-1_116076_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years