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
2020-04-25 08:10:14	ga_ls8c_ard_3-2-1_079080_2020-04-24_final
2023-09-20 09:31:32	ga_ls8c_ard_3-2-1_092081_2023-09-20_final
2023-09-21 10:11:59	ga_ls8c_ard_3-2-1_099074_2023-09-21_final
2023-09-23 11:38:55	ga_ls8c_ard_3-2-1_113075_2023-09-23_final
2023-09-24 10:43:18	ga_ls8c_ard_3-2-1_104075_2023-09-24_final
2023-09-25 11:28:34	ga_ls8c_ard_3-2-1_111080_2023-09-25_final
2023-09-25 11:28:58	ga_ls8c_ard_3-2-1_111081_2023-09-25_final
2023-10-04 09:43:08	ga_ls8c_ard_3-2-1_094079_2023-10-04_final
2023-10-06 11:10:03	ga_ls8c_ard_3-2-1_108080_2023-10-06_final
2023-10-07 10:15:14	ga_ls8c_ard_3-2-1_099082_2023-10-07_final
2023-10-11 11:27:03	ga_ls8c_ard_3-2-1_111076_2023-10-11_final
2023-10-11 11:28:38	ga_ls8c_ard_3-2-1_111080_2023-10-11_final
2023-10-12 10:32:13	ga_ls8c_ard_3-2-1_102078_2023-10-12_final
2023-10-12 10:32:37	ga_ls8c_ard_3-2-1_102079_2023-10-12_final
2023-10-13 09:36:12	ga_ls8c_ard_3-2-1_093077_2023-10-13_final
2023-10-15 09:25:50	ga_ls8c_ard_3-2-1_091082_2023-10-14_final
2023-10-20 09:41:33	ga_ls8c_ard_3-2-1_094075_2023-10-20_final
2023-10-22 09:30:49	ga_ls8c_ard_3-2-1_092079_2023-10-22_final
2023-10-22 09:31:37	ga_ls8c_ard_3-2-1_092081_2023-10-22_final
2023-10-23 10:12:06	ga_ls8c_ard_3-2-1_099074_2023-10-23_final
2023-10-24 09:20:05	ga_ls8c_ard_3-2-1_090083_2023-10-23_final
2023-10-25 11:39:26	ga_ls8c_ard_3-2-1_113076_2023-10-25_final
2023-10-26 10:43:25	ga_ls8c_ard_3-2-1_104075_2023-10-26_final
2023-10-26 10:44:37	ga_ls8c_ard_3-2-1_104078_2023-10-26_final
2023-11-03 09:53:59	ga_ls8c_ard_3-2-1_096075_2023-11-03_final
2023-11-03 11:33:16	ga_ls8c_ard_3-2-1_112076_2023-11-03_final
2023-11-04 10:38:26	ga_ls8c_ard_3-2-1_103078_2023-11-04_final
2023-11-05 09:42:25	ga_ls8c_ard_3-2-1_094077_2023-11-05_final
2023-11-06 10:22:52	ga_ls8c_ard_3-2-1_101070_2023-11-06_final
2023-11-06 10:26:28	ga_ls8c_ard_3-2-1_101079_2023-11-06_final
2023-11-10 11:39:46	ga_ls8c_ard_3-2-1_113077_2023-11-10_final
2023-11-12 09:48:09	ga_ls8c_ard_3-2-1_095076_2023-11-12_final
2023-11-12 09:49:45	ga_ls8c_ard_3-2-1_095080_2023-11-12_final
2023-11-18 10:50:49	ga_ls8c_ard_3-2-1_105078_2023-11-18_final
2023-11-19 11:34:53	ga_ls8c_ard_3-2-1_112080_2023-11-19_final
2023-11-27 10:45:04	ga_ls8c_ard_3-2-1_104079_2023-11-27_final
2023-11-30 11:15:56	ga_ls8c_ard_3-2-1_109079_2023-11-30_final
2023-12-03 10:08:42	ga_ls8c_ard_3-2-1_098081_2023-12-03_final
2023-12-05 09:54:42	ga_ls8c_ard_3-2-1_096077_2023-12-05_final
2023-12-05 09:55:30	ga_ls8c_ard_3-2-1_096079_2023-12-05_final
2023-12-05 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-12-05_final
2023-12-05 11:34:23	ga_ls8c_ard_3-2-1_112079_2023-12-05_final
2023-12-08 10:22:47	ga_ls8c_ard_3-2-1_101070_2023-12-08_final
2023-12-09 09:33:34	ga_ls8c_ard_3-2-1_092086_2023-12-09_final
2023-12-09 11:08:51	ga_ls8c_ard_3-2-1_108077_2023-12-09_final
2023-12-12 10:00:31	ga_ls8c_ard_3-2-1_097076_2023-12-12_final
2023-12-12 10:00:55	ga_ls8c_ard_3-2-1_097077_2023-12-12_final
2023-12-12 11:40:36	ga_ls8c_ard_3-2-1_113079_2023-12-12_final
2023-12-14 09:48:11	ga_ls8c_ard_3-2-1_095076_2023-12-14_final
2023-12-14 09:48:58	ga_ls8c_ard_3-2-1_095078_2023-12-14_final
2023-12-15 10:31:03	ga_ls8c_ard_3-2-1_102075_2023-12-15_final
2023-12-16 11:15:55	ga_ls8c_ard_3-2-1_109079_2023-12-16_final
2023-12-19 10:08:45	ga_ls8c_ard_3-2-1_098081_2023-12-19_final
2023-12-21 09:54:00	ga_ls8c_ard_3-2-1_096075_2023-12-21_final
2023-12-21 11:34:29	ga_ls8c_ard_3-2-1_112079_2023-12-21_final
2024-01-02 10:20:37	ga_ls8c_ard_3-2-1_100080_2024-01-02_final
2024-01-02 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-02_final
2024-01-05 10:50:40	ga_ls8c_ard_3-2-1_105078_2024-01-05_final
2024-01-06 09:54:39	ga_ls8c_ard_3-2-1_096077_2024-01-06_final
2024-01-06 11:33:32	ga_ls8c_ard_3-2-1_112077_2024-01-06_final
2024-01-06 11:34:20	ga_ls8c_ard_3-2-1_112079_2024-01-06_final
2024-01-14 10:44:57	ga_ls8c_ard_3-2-1_104079_2024-01-14_final
2024-01-15 11:27:49	ga_ls8c_ard_3-2-1_111078_2024-01-15_final
2024-01-18 10:21:01	ga_ls8c_ard_3-2-1_100081_2024-01-18_final
2024-01-30 10:45:39	ga_ls8c_ard_3-2-1_104081_2024-01-30_final
2024-01-31 11:27:44	ga_ls8c_ard_3-2-1_111078_2024-01-31_final
2024-02-02 11:15:24	ga_ls8c_ard_3-2-1_109078_2024-02-02_final
2024-02-02 11:15:48	ga_ls8c_ard_3-2-1_109079_2024-02-02_final
2024-02-05 10:09:02	ga_ls8c_ard_3-2-1_098082_2024-02-05_final
2024-02-06 10:51:06	ga_ls8c_ard_3-2-1_105079_2024-02-06_final
2024-02-07 09:54:41	ga_ls8c_ard_3-2-1_096077_2024-02-07_final
2024-02-07 09:55:29	ga_ls8c_ard_3-2-1_096079_2024-02-07_final
2024-02-07 11:34:46	ga_ls8c_ard_3-2-1_112080_2024-02-07_final
2024-02-14 10:02:50	ga_ls8c_ard_3-2-1_097082_2024-02-14_final
2024-02-16 09:49:16	ga_ls8c_ard_3-2-1_095079_2024-02-16_final
2024-02-22 10:51:03	ga_ls8c_ard_3-2-1_105079_2024-02-22_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-23 11:34:43	ga_ls8c_ard_3-2-1_112080_2024-02-23_final
2024-02-25 09:44:39	ga_ls8c_ard_3-2-1_094083_2024-02-25_final
2024-02-26 10:26:18	ga_ls8c_ard_3-2-1_101079_2024-02-26_final
2024-02-27 09:31:28	ga_ls8c_ard_3-2-1_092081_2024-02-27_final
2024-02-28 10:14:43	ga_ls8c_ard_3-2-1_099081_2024-02-28_final
2024-02-29 10:56:22	ga_ls8c_ard_3-2-1_106077_2024-02-29_final
2024-03-01 09:59:56	ga_ls8c_ard_3-2-1_097075_2024-03-01_final
2024-03-01 11:40:25	ga_ls8c_ard_3-2-1_113079_2024-03-01_final
2024-03-05 09:37:32	ga_ls8c_ard_3-2-1_093081_2024-03-05_final
2024-03-06 10:20:23	ga_ls8c_ard_3-2-1_100080_2024-03-06_final
2024-03-08 10:08:24	ga_ls8c_ard_3-2-1_098081_2024-03-08_final
2024-03-10 09:54:50	ga_ls8c_ard_3-2-1_096078_2024-03-10_final
2024-03-10 09:56:02	ga_ls8c_ard_3-2-1_096081_2024-03-10_final
2024-03-14 09:30:05	ga_ls8c_ard_3-2-1_092078_2024-03-14_final
2024-03-14 09:30:53	ga_ls8c_ard_3-2-1_092080_2024-03-14_final
2024-03-18 10:41:49	ga_ls8c_ard_3-2-1_104072_2024-03-18_final
2024-03-18 10:43:25	ga_ls8c_ard_3-2-1_104076_2024-03-18_final
2024-03-20 10:32:13	ga_ls8c_ard_3-2-1_102079_2024-03-20_final
2024-03-21 09:37:47	ga_ls8c_ard_3-2-1_093082_2024-03-21_final
2024-03-26 09:55:48	ga_ls8c_ard_3-2-1_096081_2024-03-26_final
2024-03-26 11:32:18	ga_ls8c_ard_3-2-1_112075_2024-03-26_final
2024-04-02 10:00:22	ga_ls8c_ard_3-2-1_097077_2024-04-02_final
2024-04-06 09:36:51	ga_ls8c_ard_3-2-1_093080_2024-04-06_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