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
2013-11-29 12:32:54	ga_ls8c_ard_3-2-1_122067_2013-11-29_final
2015-12-28 12:37:35	ga_ls8c_ard_3-2-1_123067_2015-12-28_final
2021-03-15 12:37:18	ga_ls8c_ard_3-2-1_123067_2021-03-15_final
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2021-11-09 08:42:48	ga_ls8c_ard_3-2-1_084082_2021-11-08_final
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2022-05-14 12:31:12	ga_ls8c_ard_3-2-1_122067_2022-05-14_final
2022-08-02 12:31:43	ga_ls8c_ard_3-2-1_122067_2022-08-02_final
2022-12-30 11:57:48	ga_ls8c_ard_3-2-1_116075_2022-12-30_final
2024-01-29 11:39:16	ga_ls8c_ard_3-2-1_113076_2024-01-29_final
2024-01-31 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-01-31_final
2024-01-31 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-01-31_final
2024-02-01 10:31:19	ga_ls8c_ard_3-2-1_102076_2024-02-01_final
2024-02-04 11:03:27	ga_ls8c_ard_3-2-1_107079_2024-02-04_final
2024-02-07 09:55:05	ga_ls8c_ard_3-2-1_096078_2024-02-07_final
2024-02-07 09:55:29	ga_ls8c_ard_3-2-1_096079_2024-02-07_final
2024-02-07 11:32:46	ga_ls8c_ard_3-2-1_112075_2024-02-07_final
2024-02-08 10:38:21	ga_ls8c_ard_3-2-1_103078_2024-02-08_final
2024-02-09 11:22:24	ga_ls8c_ard_3-2-1_110080_2024-02-09_final
2024-02-11 09:35:09	ga_ls8c_ard_3-2-1_092090_2024-02-11_final
2024-02-14 10:02:26	ga_ls8c_ard_3-2-1_097081_2024-02-14_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-14 10:03:14	ga_ls8c_ard_3-2-1_097083_2024-02-14_final
2024-02-15 10:44:29	ga_ls8c_ard_3-2-1_104078_2024-02-15_final
2024-02-16 09:49:16	ga_ls8c_ard_3-2-1_095079_2024-02-16_final
2024-02-16 11:27:21	ga_ls8c_ard_3-2-1_111077_2024-02-16_final
2024-02-18 11:16:35	ga_ls8c_ard_3-2-1_109081_2024-02-18_final
2024-02-19 10:20:34	ga_ls8c_ard_3-2-1_100080_2024-02-19_final
2024-02-19 10:20:58	ga_ls8c_ard_3-2-1_100081_2024-02-19_final
2024-02-24 10:38:17	ga_ls8c_ard_3-2-1_103078_2024-02-24_final
2024-02-27 11:09:57	ga_ls8c_ard_3-2-1_108080_2024-02-27_final
2024-02-28 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-02-28_final
2024-03-01 09:59:56	ga_ls8c_ard_3-2-1_097075_2024-03-01_final
2024-03-03 11:27:13	ga_ls8c_ard_3-2-1_111077_2024-03-03_final
2024-03-08 11:46:05	ga_ls8c_ard_3-2-1_114078_2024-03-08_final
2024-03-10 09:56:50	ga_ls8c_ard_3-2-1_096083_2024-03-10_final
2024-03-12 09:41:40	ga_ls8c_ard_3-2-1_094076_2024-03-12_final
2024-03-12 09:42:52	ga_ls8c_ard_3-2-1_094079_2024-03-12_final
2024-03-14 09:30:05	ga_ls8c_ard_3-2-1_092078_2024-03-14_final
2024-03-14 09:31:17	ga_ls8c_ard_3-2-1_092081_2024-03-14_final
2024-03-14 11:08:58	ga_ls8c_ard_3-2-1_108078_2024-03-14_final
2024-03-15 10:11:45	ga_ls8c_ard_3-2-1_099074_2024-03-15_final
2024-03-16 09:18:55	ga_ls8c_ard_3-2-1_090081_2024-03-15_final
2024-03-17 11:38:39	ga_ls8c_ard_3-2-1_113075_2024-03-17_final
2024-03-18 10:41:49	ga_ls8c_ard_3-2-1_104072_2024-03-18_final
2024-03-18 10:43:49	ga_ls8c_ard_3-2-1_104077_2024-03-18_final
2024-03-18 10:45:25	ga_ls8c_ard_3-2-1_104081_2024-03-18_final
2024-03-19 09:49:23	ga_ls8c_ard_3-2-1_095080_2024-03-19_final
2024-03-21 09:35:47	ga_ls8c_ard_3-2-1_093077_2024-03-21_final
2024-03-24 11:45:55	ga_ls8c_ard_3-2-1_114078_2024-03-24_final
2024-03-25 10:50:40	ga_ls8c_ard_3-2-1_105079_2024-03-25_final
2024-03-28 11:21:05	ga_ls8c_ard_3-2-1_110078_2024-03-28_final
2024-03-28 11:22:17	ga_ls8c_ard_3-2-1_110081_2024-03-28_final
2024-03-30 09:29:28	ga_ls8c_ard_3-2-1_092077_2024-03-29_final
2024-04-01 09:19:30	ga_ls8c_ard_3-2-1_090083_2024-03-31_final
2024-04-01 10:56:23	ga_ls8c_ard_3-2-1_106078_2024-04-01_final
2024-04-03 10:43:38	ga_ls8c_ard_3-2-1_104077_2024-04-03_final
2024-04-04 11:28:05	ga_ls8c_ard_3-2-1_111080_2024-04-04_final
2024-04-06 09:36:03	ga_ls8c_ard_3-2-1_093078_2024-04-06_final
2024-04-06 09:36:51	ga_ls8c_ard_3-2-1_093080_2024-04-06_final
2024-04-07 10:19:42	ga_ls8c_ard_3-2-1_100079_2024-04-07_final
2024-04-09 10:08:08	ga_ls8c_ard_3-2-1_098081_2024-04-09_final
2024-04-10 10:49:47	ga_ls8c_ard_3-2-1_105077_2024-04-10_final
2024-04-11 09:54:57	ga_ls8c_ard_3-2-1_096079_2024-04-11_final
2024-04-11 09:55:21	ga_ls8c_ard_3-2-1_096080_2024-04-11_final
2024-04-12 10:38:13	ga_ls8c_ard_3-2-1_103079_2024-04-12_final
2024-04-13 09:41:23	ga_ls8c_ard_3-2-1_094076_2024-04-13_final
2024-04-13 09:41:47	ga_ls8c_ard_3-2-1_094077_2024-04-13_final
2024-04-14 10:24:38	ga_ls8c_ard_3-2-1_101076_2024-04-14_final
2024-04-15 09:29:24	ga_ls8c_ard_3-2-1_092077_2024-04-14_final
2024-04-16 10:11:51	ga_ls8c_ard_3-2-1_099075_2024-04-16_final
2024-04-17 09:19:00	ga_ls8c_ard_3-2-1_090082_2024-04-16_final
2024-04-17 10:56:17	ga_ls8c_ard_3-2-1_106078_2024-04-17_final
2024-04-18 09:59:27	ga_ls8c_ard_3-2-1_097075_2024-04-18_final
2024-04-18 09:59:51	ga_ls8c_ard_3-2-1_097076_2024-04-18_final
2024-04-20 11:27:56	ga_ls8c_ard_3-2-1_111080_2024-04-20_final
2024-04-22 09:37:30	ga_ls8c_ard_3-2-1_093082_2024-04-22_final
2024-04-22 11:15:59	ga_ls8c_ard_3-2-1_109081_2024-04-22_final
2024-04-23 08:41:52	ga_ls8c_ard_3-2-1_084082_2024-04-22_final
2024-04-23 10:20:21	ga_ls8c_ard_3-2-1_100081_2024-04-23_final
2024-04-24 09:23:32	ga_ls8c_ard_3-2-1_091078_2024-04-23_final
2024-04-24 11:00:01	ga_ls8c_ard_3-2-1_107072_2024-04-24_final
2024-04-27 09:51:36	ga_ls8c_ard_3-2-1_096071_2024-04-27_final
2024-04-29 09:41:12	ga_ls8c_ard_3-2-1_094076_2024-04-29_final
2024-04-29 11:21:41	ga_ls8c_ard_3-2-1_110080_2024-04-29_final
2024-05-02 10:12:03	ga_ls8c_ard_3-2-1_099076_2024-05-02_final
2024-05-03 09:18:49	ga_ls8c_ard_3-2-1_090082_2024-05-02_final
2024-05-03 10:55:42	ga_ls8c_ard_3-2-1_106077_2024-05-03_final
2024-05-05 10:42:32	ga_ls8c_ard_3-2-1_104075_2024-05-05_final
2024-05-05 10:44:32	ga_ls8c_ard_3-2-1_104080_2024-05-05_final
2024-05-06 09:48:54	ga_ls8c_ard_3-2-1_095080_2024-05-06_final
2024-05-08 09:34:32	ga_ls8c_ard_3-2-1_093075_2024-05-08_final
2024-05-08 09:38:07	ga_ls8c_ard_3-2-1_093084_2024-05-08_final
2024-05-08 11:14:37	ga_ls8c_ard_3-2-1_109078_2024-05-08_final
2024-05-08 11:15:48	ga_ls8c_ard_3-2-1_109081_2024-05-08_final
2024-05-09 10:19:23	ga_ls8c_ard_3-2-1_100079_2024-05-09_final
2024-05-09 10:19:46	ga_ls8c_ard_3-2-1_100080_2024-05-09_final
2024-05-10 09:23:21	ga_ls8c_ard_3-2-1_091078_2024-05-09_final
2024-05-10 10:59:50	ga_ls8c_ard_3-2-1_107072_2024-05-10_final
2024-05-10 11:02:13	ga_ls8c_ard_3-2-1_107078_2024-05-10_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