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
2013-12-30 10:10:09	ga_ls8c_ard_3-2-1_099066_2013-12-30_final
2015-09-22 08:42:23	ga_ls8c_ard_3-2-1_084082_2015-09-21_final
2015-10-17 10:08:45	ga_ls8c_ard_3-2-1_099066_2015-10-17_final
2020-01-08 12:37:39	ga_ls8c_ard_3-2-1_123067_2020-01-08_final
2021-01-06 08:10:58	ga_ls8c_ard_3-2-1_079080_2021-01-05_final
2022-08-21 08:11:15	ga_ls8c_ard_3-2-1_079080_2022-08-20_final
2023-08-14 09:15:36	ga_ls8c_ard_3-2-1_089088_2023-08-13_final
2023-12-24 10:23:42	ga_ls8c_ard_3-2-1_101072_2023-12-24_final
2023-12-28 10:04:08	ga_ls8c_ard_3-2-1_097085_2023-12-28_final
2023-12-30 11:29:50	ga_ls8c_ard_3-2-1_111083_2023-12-30_final
2023-12-31 10:28:37	ga_ls8c_ard_3-2-1_102069_2023-12-31_final
2024-01-04 11:45:06	ga_ls8c_ard_3-2-1_114075_2024-01-04_final
2024-01-09 10:24:47	ga_ls8c_ard_3-2-1_101075_2024-01-09_final
2024-01-10 11:06:52	ga_ls8c_ard_3-2-1_108072_2024-01-10_final
2024-01-13 10:03:41	ga_ls8c_ard_3-2-1_097084_2024-01-13_final
2024-01-18 11:58:42	ga_ls8c_ard_3-2-1_116078_2024-01-18_final
2024-01-19 09:24:59	ga_ls8c_ard_3-2-1_091080_2024-01-18_final
2024-01-19 09:28:10	ga_ls8c_ard_3-2-1_091088_2024-01-18_final
2024-01-21 10:47:30	ga_ls8c_ard_3-2-1_105070_2024-01-21_final
2024-01-22 09:58:15	ga_ls8c_ard_3-2-1_096086_2024-01-22_final
2024-01-25 10:23:30	ga_ls8c_ard_3-2-1_101072_2024-01-25_final
2024-01-25 10:23:54	ga_ls8c_ard_3-2-1_101073_2024-01-25_final
2024-01-26 11:10:44	ga_ls8c_ard_3-2-1_108082_2024-01-26_final
2024-01-28 10:57:35	ga_ls8c_ard_3-2-1_106080_2024-01-28_final
2024-01-30 10:42:52	ga_ls8c_ard_3-2-1_104074_2024-01-30_final
2024-02-02 11:14:36	ga_ls8c_ard_3-2-1_109076_2024-02-02_final
2024-02-03 11:58:40	ga_ls8c_ard_3-2-1_116078_2024-02-03_final
2024-02-05 10:05:50	ga_ls8c_ard_3-2-1_098074_2024-02-05_final
2024-02-05 11:44:43	ga_ls8c_ard_3-2-1_114074_2024-02-05_final
2024-02-06 10:46:19	ga_ls8c_ard_3-2-1_105067_2024-02-06_final
2024-02-09 11:23:12	ga_ls8c_ard_3-2-1_110082_2024-02-09_final
2024-02-09 11:23:36	ga_ls8c_ard_3-2-1_110083_2024-02-09_final
2024-02-09 11:24:00	ga_ls8c_ard_3-2-1_110084_2024-02-09_final
2024-02-10 10:25:35	ga_ls8c_ard_3-2-1_101077_2024-02-10_final
2024-02-10 10:27:59	ga_ls8c_ard_3-2-1_101083_2024-02-10_final
2024-02-11 11:11:14	ga_ls8c_ard_3-2-1_108083_2024-02-11_final
2024-02-14 10:03:38	ga_ls8c_ard_3-2-1_097084_2024-02-14_final
2024-02-16 11:26:33	ga_ls8c_ard_3-2-1_111075_2024-02-16_final
2024-02-17 10:33:43	ga_ls8c_ard_3-2-1_102082_2024-02-17_final
2024-02-18 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-18_final
2024-02-21 11:45:05	ga_ls8c_ard_3-2-1_114075_2024-02-21_final
2024-02-22 09:12:34	ga_ls8c_ard_3-2-1_089080_2024-02-21_final
2024-02-22 10:47:52	ga_ls8c_ard_3-2-1_105071_2024-02-22_final
2024-02-23 11:32:43	ga_ls8c_ard_3-2-1_112075_2024-02-23_final
2024-02-24 10:35:29	ga_ls8c_ard_3-2-1_103071_2024-02-24_final
2024-02-25 11:20:20	ga_ls8c_ard_3-2-1_110075_2024-02-25_final
2024-02-27 11:05:58	ga_ls8c_ard_3-2-1_108070_2024-02-27_final
2024-03-01 09:59:32	ga_ls8c_ard_3-2-1_097074_2024-03-01_final
2024-03-01 10:03:55	ga_ls8c_ard_3-2-1_097085_2024-03-01_final
2024-03-01 11:42:01	ga_ls8c_ard_3-2-1_113083_2024-03-01_final
2024-03-08 10:10:00	ga_ls8c_ard_3-2-1_098085_2024-03-08_final
2024-03-09 09:13:58	ga_ls8c_ard_3-2-1_089084_2024-03-08_final
2024-03-10 09:57:14	ga_ls8c_ard_3-2-1_096084_2024-03-10_final
2024-03-13 10:23:20	ga_ls8c_ard_3-2-1_101072_2024-03-13_final
2024-03-14 11:06:35	ga_ls8c_ard_3-2-1_108072_2024-03-14_final
2024-03-16 10:55:00	ga_ls8c_ard_3-2-1_106074_2024-03-16_final
2024-03-16 12:31:05	ga_ls8c_ard_3-2-1_122067_2024-03-16_final
2024-03-17 10:01:22	ga_ls8c_ard_3-2-1_097079_2024-03-17_final
2024-03-19 09:47:23	ga_ls8c_ard_3-2-1_095075_2024-03-19_final
2024-03-21 11:17:28	ga_ls8c_ard_3-2-1_109084_2024-03-21_final
2024-03-24 11:45:31	ga_ls8c_ard_3-2-1_114077_2024-03-24_final
2024-03-24 11:46:42	ga_ls8c_ard_3-2-1_114080_2024-03-24_final
2024-03-25 09:12:59	ga_ls8c_ard_3-2-1_089082_2024-03-24_final
2024-03-25 10:51:28	ga_ls8c_ard_3-2-1_105081_2024-03-25_final
2024-03-26 11:35:05	ga_ls8c_ard_3-2-1_112082_2024-03-26_final
2024-03-28 11:19:54	ga_ls8c_ard_3-2-1_110075_2024-03-28_final
2024-03-29 10:27:28	ga_ls8c_ard_3-2-1_101083_2024-03-29_final
2024-03-30 11:09:08	ga_ls8c_ard_3-2-1_108079_2024-03-30_final
2024-04-01 09:17:54	ga_ls8c_ard_3-2-1_090079_2024-03-31_final
2024-04-01 09:20:18	ga_ls8c_ard_3-2-1_090085_2024-03-31_final
2024-04-02 09:58:22	ga_ls8c_ard_3-2-1_097072_2024-04-02_final
2024-04-05 10:29:40	ga_ls8c_ard_3-2-1_102073_2024-04-05_final
2024-04-06 09:35:39	ga_ls8c_ard_3-2-1_093077_2024-04-06_final
2024-04-06 11:16:55	ga_ls8c_ard_3-2-1_109083_2024-04-06_final
2024-04-07 11:57:23	ga_ls8c_ard_3-2-1_116076_2024-04-07_final
2024-04-08 11:01:46	ga_ls8c_ard_3-2-1_107076_2024-04-08_final
2024-04-08 11:04:57	ga_ls8c_ard_3-2-1_107084_2024-04-08_final
2024-04-09 11:45:49	ga_ls8c_ard_3-2-1_114078_2024-04-09_final
2024-04-10 09:12:06	ga_ls8c_ard_3-2-1_089080_2024-04-09_final
2024-04-13 09:40:11	ga_ls8c_ard_3-2-1_094073_2024-04-13_final
2024-04-15 09:28:36	ga_ls8c_ard_3-2-1_092075_2024-04-14_final
2024-04-24 09:26:20	ga_ls8c_ard_3-2-1_091085_2024-04-23_final
2024-04-24 11:01:37	ga_ls8c_ard_3-2-1_107076_2024-04-24_final
2024-04-25 10:07:35	ga_ls8c_ard_3-2-1_098080_2024-04-25_final
2024-04-26 09:12:21	ga_ls8c_ard_3-2-1_089081_2024-04-25_final
2024-04-26 09:12:45	ga_ls8c_ard_3-2-1_089082_2024-04-25_final
2024-04-26 10:50:50	ga_ls8c_ard_3-2-1_105080_2024-04-26_final
2024-04-30 10:22:27	ga_ls8c_ard_3-2-1_101071_2024-04-30_final
2024-05-02 10:10:27	ga_ls8c_ard_3-2-1_099072_2024-05-02_final
2024-05-02 10:13:39	ga_ls8c_ard_3-2-1_099080_2024-05-02_final
2024-05-02 11:50:32	ga_ls8c_ard_3-2-1_115075_2024-05-02_final
2024-05-03 09:20:25	ga_ls8c_ard_3-2-1_090086_2024-05-02_final
2024-05-03 10:54:31	ga_ls8c_ard_3-2-1_106074_2024-05-03_final
2024-05-04 09:58:29	ga_ls8c_ard_3-2-1_097073_2024-05-04_final
2024-05-04 10:01:17	ga_ls8c_ard_3-2-1_097080_2024-05-04_final
2024-05-04 11:40:58	ga_ls8c_ard_3-2-1_113082_2024-05-04_final
2024-05-07 10:27:22	ga_ls8c_ard_3-2-1_102068_2024-05-07_final
2024-05-10 09:25:20	ga_ls8c_ard_3-2-1_091083_2024-05-09_final
2024-05-18 10:15:02	ga_ls8c_ard_3-2-1_099084_2024-05-18_final
2024-05-19 09:19:48	ga_ls8c_ard_3-2-1_090085_2024-05-18_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