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
2023-09-10 10:29:16	ga_ls8c_ard_3-2-1_102071_2023-09-10_final
2023-09-22 10:53:15	ga_ls8c_ard_3-2-1_106069_2023-09-22_final
2023-09-29 09:25:00	ga_ls8c_ard_3-2-1_091080_2023-09-28_final
2023-09-30 10:07:52	ga_ls8c_ard_3-2-1_098079_2023-09-30_final
2023-10-02 09:57:06	ga_ls8c_ard_3-2-1_096083_2023-10-02_final
2023-10-03 10:35:58	ga_ls8c_ard_3-2-1_103072_2023-10-03_final
2023-10-04 11:18:50	ga_ls8c_ard_3-2-1_110071_2023-10-04_final
2023-10-06 09:29:10	ga_ls8c_ard_3-2-1_092075_2023-10-05_final
2023-10-06 11:09:39	ga_ls8c_ard_3-2-1_108079_2023-10-06_final
2023-10-07 11:51:20	ga_ls8c_ard_3-2-1_115075_2023-10-07_final
2023-10-08 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-10-07_final
2023-10-09 11:39:47	ga_ls8c_ard_3-2-1_113077_2023-10-09_final
2023-10-10 09:07:17	ga_ls8c_ard_3-2-1_088082_2023-10-09_final
2023-10-10 10:43:23	ga_ls8c_ard_3-2-1_104075_2023-10-10_final
2023-10-10 10:43:47	ga_ls8c_ard_3-2-1_104076_2023-10-10_final
2023-10-12 10:29:26	ga_ls8c_ard_3-2-1_102071_2023-10-12_final
2023-10-12 10:29:50	ga_ls8c_ard_3-2-1_102072_2023-10-12_final
2023-10-13 11:11:54	ga_ls8c_ard_3-2-1_109069_2023-10-13_final
2023-10-16 11:45:11	ga_ls8c_ard_3-2-1_114075_2023-10-16_final
2023-10-16 11:45:35	ga_ls8c_ard_3-2-1_114076_2023-10-16_final
2023-10-17 09:10:40	ga_ls8c_ard_3-2-1_089075_2023-10-16_final
2023-10-22 09:29:37	ga_ls8c_ard_3-2-1_092076_2023-10-21_final
2023-10-24 09:20:28	ga_ls8c_ard_3-2-1_090084_2023-10-23_final
2023-10-24 10:55:46	ga_ls8c_ard_3-2-1_106075_2023-10-24_final
2023-10-24 10:56:58	ga_ls8c_ard_3-2-1_106078_2023-10-24_final
2023-10-25 11:39:50	ga_ls8c_ard_3-2-1_113077_2023-10-25_final
2023-10-28 10:31:52	ga_ls8c_ard_3-2-1_102077_2023-10-28_final
2023-11-01 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-11-01_final
2023-11-01 11:46:50	ga_ls8c_ard_3-2-1_114079_2023-11-01_final
2023-11-03 09:53:11	ga_ls8c_ard_3-2-1_096073_2023-11-03_final
2023-11-06 10:24:04	ga_ls8c_ard_3-2-1_101073_2023-11-06_final
2023-11-07 09:29:38	ga_ls8c_ard_3-2-1_092076_2023-11-06_final
2023-11-07 11:08:31	ga_ls8c_ard_3-2-1_108076_2023-11-07_final
2023-11-08 10:13:16	ga_ls8c_ard_3-2-1_099077_2023-11-08_final
2023-11-09 09:22:25	ga_ls8c_ard_3-2-1_090089_2023-11-08_final
2023-11-10 11:39:46	ga_ls8c_ard_3-2-1_113077_2023-11-10_final
2023-11-13 10:31:50	ga_ls8c_ard_3-2-1_102077_2023-11-13_final
2023-11-14 11:12:42	ga_ls8c_ard_3-2-1_109071_2023-11-14_final
2023-11-17 10:05:33	ga_ls8c_ard_3-2-1_098073_2023-11-17_final
2023-11-17 11:45:14	ga_ls8c_ard_3-2-1_114075_2023-11-17_final
2023-11-22 10:22:56	ga_ls8c_ard_3-2-1_101070_2023-11-22_final
2023-11-23 09:29:19	ga_ls8c_ard_3-2-1_092075_2023-11-22_final
2023-11-26 11:41:29	ga_ls8c_ard_3-2-1_113081_2023-11-26_final
2023-11-30 11:13:32	ga_ls8c_ard_3-2-1_109073_2023-11-30_final
2023-12-01 10:21:30	ga_ls8c_ard_3-2-1_100082_2023-12-01_final
2023-12-05 09:51:55	ga_ls8c_ard_3-2-1_096070_2023-12-05_final
2023-12-05 09:57:06	ga_ls8c_ard_3-2-1_096083_2023-12-05_final
2023-12-06 10:37:56	ga_ls8c_ard_3-2-1_103077_2023-12-06_final
2023-12-06 10:39:56	ga_ls8c_ard_3-2-1_103082_2023-12-06_final
2023-12-11 09:18:26	ga_ls8c_ard_3-2-1_090079_2023-12-10_final
2023-12-12 09:59:19	ga_ls8c_ard_3-2-1_097073_2023-12-12_final
2023-12-12 11:40:36	ga_ls8c_ard_3-2-1_113079_2023-12-12_final
2023-12-13 10:42:11	ga_ls8c_ard_3-2-1_104072_2023-12-13_final
2023-12-17 10:21:30	ga_ls8c_ard_3-2-1_100082_2023-12-17_final
2023-12-18 11:03:34	ga_ls8c_ard_3-2-1_107079_2023-12-18_final
2023-12-19 10:05:33	ga_ls8c_ard_3-2-1_098073_2023-12-19_final
2023-12-19 10:05:57	ga_ls8c_ard_3-2-1_098074_2023-12-19_final
2023-12-23 11:19:19	ga_ls8c_ard_3-2-1_110072_2023-12-23_final
2023-12-23 11:23:43	ga_ls8c_ard_3-2-1_110083_2023-12-23_final
2023-12-26 10:12:31	ga_ls8c_ard_3-2-1_099075_2023-12-26_final
2023-12-26 11:52:36	ga_ls8c_ard_3-2-1_115078_2023-12-26_final
2023-12-29 10:42:12	ga_ls8c_ard_3-2-1_104072_2023-12-29_final
2023-12-31 10:30:13	ga_ls8c_ard_3-2-1_102073_2023-12-31_final
2024-01-04 10:06:13	ga_ls8c_ard_3-2-1_098075_2024-01-04_final
2024-01-04 10:07:49	ga_ls8c_ard_3-2-1_098079_2024-01-04_final
2024-01-08 09:39:55	ga_ls8c_ard_3-2-1_094071_2024-01-08_final
2024-01-08 11:23:36	ga_ls8c_ard_3-2-1_110083_2024-01-08_final
2024-01-13 10:01:41	ga_ls8c_ard_3-2-1_097079_2024-01-13_final
2024-01-13 11:39:46	ga_ls8c_ard_3-2-1_113077_2024-01-13_final
2024-01-15 11:29:48	ga_ls8c_ard_3-2-1_111083_2024-01-15_final
2024-01-17 11:17:26	ga_ls8c_ard_3-2-1_109083_2024-01-17_final
2024-01-20 11:45:31	ga_ls8c_ard_3-2-1_114076_2024-01-20_final
2024-01-21 09:13:00	ga_ls8c_ard_3-2-1_089081_2024-01-20_final
2024-01-24 11:21:56	ga_ls8c_ard_3-2-1_110079_2024-01-24_final
2024-01-26 11:07:09	ga_ls8c_ard_3-2-1_108073_2024-01-26_final
2024-01-29 11:39:40	ga_ls8c_ard_3-2-1_113077_2024-01-29_final
2024-01-31 11:29:20	ga_ls8c_ard_3-2-1_111082_2024-01-31_final
2024-02-05 11:46:43	ga_ls8c_ard_3-2-1_114079_2024-02-05_final
2024-02-07 09:53:29	ga_ls8c_ard_3-2-1_096074_2024-02-07_final
2024-02-09 11:18:49	ga_ls8c_ard_3-2-1_110071_2024-02-09_final
2024-02-14 09:59:38	ga_ls8c_ard_3-2-1_097074_2024-02-14_final
2024-02-14 11:41:43	ga_ls8c_ard_3-2-1_113082_2024-02-14_final
2024-02-15 09:06:24	ga_ls8c_ard_3-2-1_088080_2024-02-14_final
2024-02-18 09:35:42	ga_ls8c_ard_3-2-1_093076_2024-02-18_final
2024-02-20 09:25:20	ga_ls8c_ard_3-2-1_091081_2024-02-19_final
2024-02-21 11:45:29	ga_ls8c_ard_3-2-1_114076_2024-02-21_final
2024-02-22 09:14:34	ga_ls8c_ard_3-2-1_089085_2024-02-21_final
2024-02-22 09:14:58	ga_ls8c_ard_3-2-1_089086_2024-02-21_final
2024-02-26 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-02-26_final
2024-03-01 11:40:49	ga_ls8c_ard_3-2-1_113080_2024-03-01_final
2024-03-01 11:42:24	ga_ls8c_ard_3-2-1_113084_2024-03-01_final
2024-03-05 09:36:20	ga_ls8c_ard_3-2-1_093078_2024-03-05_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_final
2024-03-08 11:44:29	ga_ls8c_ard_3-2-1_114074_2024-03-08_final
2024-03-10 09:56:50	ga_ls8c_ard_3-2-1_096083_2024-03-10_final
2024-03-13 10:24:55	ga_ls8c_ard_3-2-1_101076_2024-03-13_final
2024-03-16 09:18:55	ga_ls8c_ard_3-2-1_090081_2024-03-15_final
2024-03-17 11:39:27	ga_ls8c_ard_3-2-1_113077_2024-03-17_final
2024-03-26 09:53:01	ga_ls8c_ard_3-2-1_096074_2024-03-26_final
2024-03-30 09:31:27	ga_ls8c_ard_3-2-1_092082_2024-03-30_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