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
2018-10-25 10:08:37	ga_ls8c_ard_3-2-1_099066_2018-10-25_final
2023-08-29 10:04:33	ga_ls8c_ard_3-2-1_098071_2023-08-29_final
2023-09-02 09:45:24	ga_ls8c_ard_3-2-1_094085_2023-09-02_final
2023-09-15 09:11:22	ga_ls8c_ard_3-2-1_089077_2023-09-14_final
2023-09-15 09:13:22	ga_ls8c_ard_3-2-1_089082_2023-09-14_final
2023-09-15 09:16:34	ga_ls8c_ard_3-2-1_089090_2023-09-14_final
2023-09-15 10:46:40	ga_ls8c_ard_3-2-1_105068_2023-09-15_final
2023-09-16 09:57:26	ga_ls8c_ard_3-2-1_096084_2023-09-16_final
2023-09-18 09:45:53	ga_ls8c_ard_3-2-1_094086_2023-09-18_final
2023-09-27 11:14:38	ga_ls8c_ard_3-2-1_109076_2023-09-27_final
2023-10-04 09:46:20	ga_ls8c_ard_3-2-1_094087_2023-10-04_final
2023-10-07 10:10:51	ga_ls8c_ard_3-2-1_099071_2023-10-07_final
2023-10-07 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-10-07_final
2023-10-08 10:54:07	ga_ls8c_ard_3-2-1_106071_2023-10-08_final
2023-10-12 10:28:38	ga_ls8c_ard_3-2-1_102069_2023-10-12_final
2023-10-15 11:02:20	ga_ls8c_ard_3-2-1_107076_2023-10-15_final
2023-10-21 10:27:37	ga_ls8c_ard_3-2-1_101082_2023-10-21_final
2023-10-22 09:29:13	ga_ls8c_ard_3-2-1_092075_2023-10-21_final
2023-10-22 11:07:18	ga_ls8c_ard_3-2-1_108073_2023-10-22_final
2023-10-23 10:09:42	ga_ls8c_ard_3-2-1_099068_2023-10-23_final
2023-10-23 11:52:59	ga_ls8c_ard_3-2-1_115079_2023-10-23_final
2023-10-24 09:20:52	ga_ls8c_ard_3-2-1_090085_2023-10-23_final
2023-10-24 10:54:58	ga_ls8c_ard_3-2-1_106073_2023-10-24_final
2023-10-27 09:47:01	ga_ls8c_ard_3-2-1_095073_2023-10-27_final
2023-10-29 09:38:39	ga_ls8c_ard_3-2-1_093083_2023-10-29_final
2023-10-29 09:40:15	ga_ls8c_ard_3-2-1_093087_2023-10-29_final
2023-10-31 11:00:47	ga_ls8c_ard_3-2-1_107072_2023-10-31_final
2023-11-01 10:05:10	ga_ls8c_ard_3-2-1_098072_2023-11-01_final
2023-11-09 10:57:43	ga_ls8c_ard_3-2-1_106080_2023-11-09_final
2023-11-10 10:03:40	ga_ls8c_ard_3-2-1_097084_2023-11-10_final
2023-11-15 10:22:17	ga_ls8c_ard_3-2-1_100084_2023-11-15_final
2023-11-16 09:25:05	ga_ls8c_ard_3-2-1_091080_2023-11-15_final
2023-11-18 09:14:20	ga_ls8c_ard_3-2-1_089084_2023-11-17_final
2023-11-18 10:46:26	ga_ls8c_ard_3-2-1_105067_2023-11-18_final
2023-11-19 09:53:37	ga_ls8c_ard_3-2-1_096074_2023-11-19_final
2023-11-22 10:23:20	ga_ls8c_ard_3-2-1_101071_2023-11-22_final
2023-11-24 11:51:51	ga_ls8c_ard_3-2-1_115076_2023-11-24_final
2023-11-28 09:47:02	ga_ls8c_ard_3-2-1_095073_2023-11-28_final
2023-11-28 09:50:14	ga_ls8c_ard_3-2-1_095081_2023-11-28_final
2023-11-28 09:50:38	ga_ls8c_ard_3-2-1_095082_2023-11-28_final
2023-11-28 11:26:43	ga_ls8c_ard_3-2-1_111075_2023-11-28_final
2023-11-30 11:13:32	ga_ls8c_ard_3-2-1_109073_2023-11-30_final
2023-12-01 10:21:54	ga_ls8c_ard_3-2-1_100083_2023-12-01_final
2023-12-02 11:05:32	ga_ls8c_ard_3-2-1_107084_2023-12-02_final
2023-12-03 11:45:35	ga_ls8c_ard_3-2-1_114076_2023-12-03_final
2023-12-07 11:23:35	ga_ls8c_ard_3-2-1_110083_2023-12-07_final
2023-12-09 11:10:51	ga_ls8c_ard_3-2-1_108082_2023-12-09_final
2023-12-12 10:01:19	ga_ls8c_ard_3-2-1_097078_2023-12-12_final
2023-12-15 10:29:27	ga_ls8c_ard_3-2-1_102071_2023-12-15_final
2023-12-16 11:13:31	ga_ls8c_ard_3-2-1_109073_2023-12-16_final
2023-12-17 11:58:23	ga_ls8c_ard_3-2-1_116077_2023-12-17_final
2023-12-17 11:58:47	ga_ls8c_ard_3-2-1_116078_2023-12-17_final
2023-12-19 10:07:57	ga_ls8c_ard_3-2-1_098079_2023-12-19_final
2023-12-19 11:44:50	ga_ls8c_ard_3-2-1_114074_2023-12-19_final
2023-12-19 11:45:38	ga_ls8c_ard_3-2-1_114076_2023-12-19_final
2023-12-25 11:07:21	ga_ls8c_ard_3-2-1_108073_2023-12-25_final
2023-12-27 10:58:10	ga_ls8c_ard_3-2-1_106081_2023-12-27_final
2023-12-29 10:42:36	ga_ls8c_ard_3-2-1_104073_2023-12-29_final
2023-12-29 10:43:48	ga_ls8c_ard_3-2-1_104076_2023-12-29_final
2023-12-31 10:29:25	ga_ls8c_ard_3-2-1_102071_2023-12-31_final
2024-01-01 09:35:46	ga_ls8c_ard_3-2-1_093076_2024-01-01_final
2024-01-01 09:40:10	ga_ls8c_ard_3-2-1_093087_2024-01-01_final
2024-01-08 11:19:36	ga_ls8c_ard_3-2-1_110073_2024-01-08_final
2024-01-11 10:11:39	ga_ls8c_ard_3-2-1_099073_2024-01-11_final
2024-01-11 10:16:02	ga_ls8c_ard_3-2-1_099084_2024-01-11_final
2024-01-11 11:52:07	ga_ls8c_ard_3-2-1_115077_2024-01-11_final
2024-01-12 10:56:06	ga_ls8c_ard_3-2-1_106076_2024-01-12_final
2024-01-13 11:38:58	ga_ls8c_ard_3-2-1_113075_2024-01-13_final
2024-01-23 10:37:54	ga_ls8c_ard_3-2-1_103077_2024-01-23_final
2024-01-28 09:20:18	ga_ls8c_ard_3-2-1_090084_2024-01-27_final
2024-01-30 10:44:28	ga_ls8c_ard_3-2-1_104078_2024-01-30_final
2024-01-31 11:26:08	ga_ls8c_ard_3-2-1_111074_2024-01-31_final
2024-02-01 10:31:43	ga_ls8c_ard_3-2-1_102077_2024-02-01_final
2024-02-04 09:26:10	ga_ls8c_ard_3-2-1_091083_2024-02-03_final
2024-02-04 09:26:57	ga_ls8c_ard_3-2-1_091085_2024-02-03_final
2024-02-04 09:28:33	ga_ls8c_ard_3-2-1_091089_2024-02-03_final
2024-02-04 11:00:39	ga_ls8c_ard_3-2-1_107072_2024-02-04_final
2024-02-04 11:04:15	ga_ls8c_ard_3-2-1_107081_2024-02-04_final
2024-02-10 10:27:35	ga_ls8c_ard_3-2-1_101082_2024-02-10_final
2024-02-13 09:20:47	ga_ls8c_ard_3-2-1_090085_2024-02-12_final
2024-02-13 10:56:04	ga_ls8c_ard_3-2-1_106076_2024-02-13_final
2024-02-15 10:40:54	ga_ls8c_ard_3-2-1_104069_2024-02-15_final
2024-02-17 10:28:56	ga_ls8c_ard_3-2-1_102070_2024-02-17_final
2024-02-20 09:24:56	ga_ls8c_ard_3-2-1_091080_2024-02-19_final
2024-02-20 09:26:08	ga_ls8c_ard_3-2-1_091083_2024-02-19_final
2024-02-20 11:01:50	ga_ls8c_ard_3-2-1_107075_2024-02-20_final
2024-02-23 09:52:38	ga_ls8c_ard_3-2-1_096072_2024-02-23_final
2024-02-25 09:42:15	ga_ls8c_ard_3-2-1_094077_2024-02-25_final
2024-02-28 11:52:00	ga_ls8c_ard_3-2-1_115077_2024-02-28_final
2024-03-05 09:33:33	ga_ls8c_ard_3-2-1_093071_2024-03-05_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_final
2024-03-10 09:53:14	ga_ls8c_ard_3-2-1_096074_2024-03-10_final
2024-03-12 11:18:33	ga_ls8c_ard_3-2-1_110071_2024-03-12_final
2024-03-14 09:34:29	ga_ls8c_ard_3-2-1_092089_2024-03-14_final
2024-03-16 09:17:43	ga_ls8c_ard_3-2-1_090078_2024-03-15_final
2024-03-19 09:46:35	ga_ls8c_ard_3-2-1_095073_2024-03-19_final
2024-03-22 10:21:50	ga_ls8c_ard_3-2-1_100084_2024-03-22_final
2024-03-25 09:14:10	ga_ls8c_ard_3-2-1_089085_2024-03-24_final
2024-03-28 11:23:53	ga_ls8c_ard_3-2-1_110085_2024-03-28_final
2024-03-29 10:22:17	ga_ls8c_ard_3-2-1_101070_2024-03-29_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