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
2024-03-16 10:56:36	ga_ls8c_ard_3-2-1_106078_2024-03-16_final
2024-03-18 10:43:01	ga_ls8c_ard_3-2-1_104075_2024-03-18_final
2024-03-23 10:59:05	ga_ls8c_ard_3-2-1_107069_2024-03-23_final
2024-03-23 10:59:53	ga_ls8c_ard_3-2-1_107071_2024-03-23_final
2024-03-25 10:47:04	ga_ls8c_ard_3-2-1_105070_2024-03-25_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-01 10:55:35	ga_ls8c_ard_3-2-1_106076_2024-04-01_final
2024-04-03 10:42:50	ga_ls8c_ard_3-2-1_104075_2024-04-03_final
2024-04-08 10:58:58	ga_ls8c_ard_3-2-1_107069_2024-04-08_final
2024-04-08 10:59:22	ga_ls8c_ard_3-2-1_107070_2024-04-08_final
2024-04-08 10:59:46	ga_ls8c_ard_3-2-1_107071_2024-04-08_final
2024-04-08 11:00:10	ga_ls8c_ard_3-2-1_107072_2024-04-08_final
2024-04-08 11:00:34	ga_ls8c_ard_3-2-1_107073_2024-04-08_final
2024-04-08 11:00:58	ga_ls8c_ard_3-2-1_107074_2024-04-08_final
2024-04-08 11:01:22	ga_ls8c_ard_3-2-1_107075_2024-04-08_final
2024-04-08 11:01:46	ga_ls8c_ard_3-2-1_107076_2024-04-08_final
2024-04-08 11:02:10	ga_ls8c_ard_3-2-1_107077_2024-04-08_final
2024-04-10 10:46:36	ga_ls8c_ard_3-2-1_105069_2024-04-10_final
2024-04-10 10:47:00	ga_ls8c_ard_3-2-1_105070_2024-04-10_final
2024-04-10 10:47:24	ga_ls8c_ard_3-2-1_105071_2024-04-10_final
2024-04-10 10:47:48	ga_ls8c_ard_3-2-1_105072_2024-04-10_final
2024-04-10 10:48:11	ga_ls8c_ard_3-2-1_105073_2024-04-10_final
2024-04-10 10:48:35	ga_ls8c_ard_3-2-1_105074_2024-04-10_final
2024-04-10 10:48:59	ga_ls8c_ard_3-2-1_105075_2024-04-10_final
2024-04-10 10:49:23	ga_ls8c_ard_3-2-1_105076_2024-04-10_final
2024-04-10 10:49:47	ga_ls8c_ard_3-2-1_105077_2024-04-10_final
2024-04-10 10:50:11	ga_ls8c_ard_3-2-1_105078_2024-04-10_final
2024-04-10 10:50:35	ga_ls8c_ard_3-2-1_105079_2024-04-10_final
2024-04-10 10:50:59	ga_ls8c_ard_3-2-1_105080_2024-04-10_final
2024-04-10 10:51:23	ga_ls8c_ard_3-2-1_105081_2024-04-10_final
2024-04-10 10:51:47	ga_ls8c_ard_3-2-1_105082_2024-04-10_final
2024-04-10 10:52:11	ga_ls8c_ard_3-2-1_105083_2024-04-10_final
2024-04-12 10:38:36	ga_ls8c_ard_3-2-1_103080_2024-04-12_final
2024-04-12 10:39:00	ga_ls8c_ard_3-2-1_103081_2024-04-12_final
2024-04-12 10:39:24	ga_ls8c_ard_3-2-1_103082_2024-04-12_final
2024-04-15 11:05:05	ga_ls8c_ard_3-2-1_108069_2024-04-15_final
2024-04-15 11:05:29	ga_ls8c_ard_3-2-1_108070_2024-04-15_final
2024-04-15 11:05:53	ga_ls8c_ard_3-2-1_108071_2024-04-15_final
2024-04-15 11:06:17	ga_ls8c_ard_3-2-1_108072_2024-04-15_final
2024-04-15 11:06:41	ga_ls8c_ard_3-2-1_108073_2024-04-15_final
2024-04-17 10:52:42	ga_ls8c_ard_3-2-1_106069_2024-04-17_final
2024-04-17 10:53:05	ga_ls8c_ard_3-2-1_106070_2024-04-17_final
2024-04-17 10:53:29	ga_ls8c_ard_3-2-1_106071_2024-04-17_final
2024-04-17 10:53:53	ga_ls8c_ard_3-2-1_106072_2024-04-17_final
2024-04-17 10:54:17	ga_ls8c_ard_3-2-1_106073_2024-04-17_final
2024-04-17 10:54:41	ga_ls8c_ard_3-2-1_106074_2024-04-17_final
2024-04-17 10:55:05	ga_ls8c_ard_3-2-1_106075_2024-04-17_final
2024-04-17 10:55:29	ga_ls8c_ard_3-2-1_106076_2024-04-17_final
2024-04-17 10:55:53	ga_ls8c_ard_3-2-1_106077_2024-04-17_final
2024-04-17 10:56:17	ga_ls8c_ard_3-2-1_106078_2024-04-17_final
2024-04-17 10:56:41	ga_ls8c_ard_3-2-1_106079_2024-04-17_final
2024-04-17 10:57:05	ga_ls8c_ard_3-2-1_106080_2024-04-17_final
2024-04-17 10:57:29	ga_ls8c_ard_3-2-1_106081_2024-04-17_final
2024-04-19 10:42:17	ga_ls8c_ard_3-2-1_104074_2024-04-19_final
2024-04-19 10:42:41	ga_ls8c_ard_3-2-1_104075_2024-04-19_final
2024-04-19 10:43:05	ga_ls8c_ard_3-2-1_104076_2024-04-19_final
2024-04-19 10:43:29	ga_ls8c_ard_3-2-1_104077_2024-04-19_final
2024-04-19 10:43:53	ga_ls8c_ard_3-2-1_104078_2024-04-19_final
2024-04-19 10:44:17	ga_ls8c_ard_3-2-1_104079_2024-04-19_final
2024-04-19 10:44:41	ga_ls8c_ard_3-2-1_104080_2024-04-19_final
2024-04-24 10:59:13	ga_ls8c_ard_3-2-1_107070_2024-04-24_final
2024-04-24 10:59:37	ga_ls8c_ard_3-2-1_107071_2024-04-24_final
2024-04-24 11:00:01	ga_ls8c_ard_3-2-1_107072_2024-04-24_final
2024-04-24 11:00:25	ga_ls8c_ard_3-2-1_107073_2024-04-24_final
2024-04-24 11:01:13	ga_ls8c_ard_3-2-1_107075_2024-04-24_final
2024-04-24 11:01:37	ga_ls8c_ard_3-2-1_107076_2024-04-24_final
2024-04-24 11:02:01	ga_ls8c_ard_3-2-1_107077_2024-04-24_final
2024-04-26 10:46:51	ga_ls8c_ard_3-2-1_105070_2024-04-26_final
2024-04-28 10:37:39	ga_ls8c_ard_3-2-1_103078_2024-04-28_final
2024-04-28 10:38:03	ga_ls8c_ard_3-2-1_103079_2024-04-28_final
2024-04-28 10:38:26	ga_ls8c_ard_3-2-1_103080_2024-04-28_final
2024-04-28 10:38:50	ga_ls8c_ard_3-2-1_103081_2024-04-28_final
2024-04-28 10:39:14	ga_ls8c_ard_3-2-1_103082_2024-04-28_final
2024-05-01 11:04:54	ga_ls8c_ard_3-2-1_108069_2024-05-01_final
2024-05-01 11:05:18	ga_ls8c_ard_3-2-1_108070_2024-05-01_final
2024-05-01 11:05:41	ga_ls8c_ard_3-2-1_108071_2024-05-01_final
2024-05-01 11:06:05	ga_ls8c_ard_3-2-1_108072_2024-05-01_final
2024-05-01 11:06:29	ga_ls8c_ard_3-2-1_108073_2024-05-01_final
2024-05-03 10:52:07	ga_ls8c_ard_3-2-1_106068_2024-05-03_final
2024-05-03 10:52:31	ga_ls8c_ard_3-2-1_106069_2024-05-03_final
2024-05-03 10:52:55	ga_ls8c_ard_3-2-1_106070_2024-05-03_final
2024-05-03 10:53:19	ga_ls8c_ard_3-2-1_106071_2024-05-03_final
2024-05-03 10:53:43	ga_ls8c_ard_3-2-1_106072_2024-05-03_final
2024-05-03 10:54:07	ga_ls8c_ard_3-2-1_106073_2024-05-03_final
2024-05-03 10:54:31	ga_ls8c_ard_3-2-1_106074_2024-05-03_final
2024-05-03 10:54:54	ga_ls8c_ard_3-2-1_106075_2024-05-03_final
2024-05-03 10:55:18	ga_ls8c_ard_3-2-1_106076_2024-05-03_final
2024-05-03 10:55:42	ga_ls8c_ard_3-2-1_106077_2024-05-03_final
2024-05-03 10:56:06	ga_ls8c_ard_3-2-1_106078_2024-05-03_final
2024-05-03 10:56:30	ga_ls8c_ard_3-2-1_106079_2024-05-03_final
2024-05-03 10:56:54	ga_ls8c_ard_3-2-1_106080_2024-05-03_final
2024-05-03 10:57:18	ga_ls8c_ard_3-2-1_106081_2024-05-03_final
2024-05-05 10:42:08	ga_ls8c_ard_3-2-1_104074_2024-05-05_final
2024-05-05 10:42:32	ga_ls8c_ard_3-2-1_104075_2024-05-05_final
2024-05-05 10:42:56	ga_ls8c_ard_3-2-1_104076_2024-05-05_final
2024-05-05 10:43:20	ga_ls8c_ard_3-2-1_104077_2024-05-05_final
2024-05-05 10:43:44	ga_ls8c_ard_3-2-1_104078_2024-05-05_final
2024-05-05 10:44:08	ga_ls8c_ard_3-2-1_104079_2024-05-05_final
2024-05-05 10:44:32	ga_ls8c_ard_3-2-1_104080_2024-05-05_final
2024-05-05 10:44:56	ga_ls8c_ard_3-2-1_104081_2024-05-05_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