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
2022-01-29 10:59:06	ga_ls8c_ard_3-2-1_107068_2022-01-29_final
2022-04-03 10:58:42	ga_ls8c_ard_3-2-1_107068_2022-04-03_final
2022-05-21 10:58:55	ga_ls8c_ard_3-2-1_107068_2022-05-21_final
2022-07-08 10:59:13	ga_ls8c_ard_3-2-1_107068_2022-07-08_final
2022-07-24 10:59:18	ga_ls8c_ard_3-2-1_107068_2022-07-24_final
2022-12-15 10:59:51	ga_ls8c_ard_3-2-1_107069_2022-12-15_final
2023-02-10 10:52:43	ga_ls8c_ard_3-2-1_106067_2023-02-10_final
2023-03-05 10:59:24	ga_ls8c_ard_3-2-1_107069_2023-03-05_final
2023-04-15 10:51:57	ga_ls8c_ard_3-2-1_106067_2023-04-15_final
2024-03-14 11:05:23	ga_ls8c_ard_3-2-1_108069_2024-03-14_final
2024-03-14 11:05:47	ga_ls8c_ard_3-2-1_108070_2024-03-14_final
2024-03-14 11:06:11	ga_ls8c_ard_3-2-1_108071_2024-03-14_final
2024-03-14 11:06:35	ga_ls8c_ard_3-2-1_108072_2024-03-14_final
2024-03-14 11:06:59	ga_ls8c_ard_3-2-1_108073_2024-03-14_final
2024-03-16 10:52:36	ga_ls8c_ard_3-2-1_106068_2024-03-16_final
2024-03-16 10:53:00	ga_ls8c_ard_3-2-1_106069_2024-03-16_final
2024-03-16 10:53:24	ga_ls8c_ard_3-2-1_106070_2024-03-16_final
2024-03-16 10:53:48	ga_ls8c_ard_3-2-1_106071_2024-03-16_final
2024-03-16 10:54:12	ga_ls8c_ard_3-2-1_106072_2024-03-16_final
2024-03-16 10:54:36	ga_ls8c_ard_3-2-1_106073_2024-03-16_final
2024-03-16 10:55:00	ga_ls8c_ard_3-2-1_106074_2024-03-16_final
2024-03-16 10:55:24	ga_ls8c_ard_3-2-1_106075_2024-03-16_final
2024-03-16 10:55:48	ga_ls8c_ard_3-2-1_106076_2024-03-16_final
2024-03-16 10:56:12	ga_ls8c_ard_3-2-1_106077_2024-03-16_final
2024-03-16 10:56:36	ga_ls8c_ard_3-2-1_106078_2024-03-16_final
2024-03-16 10:57:00	ga_ls8c_ard_3-2-1_106079_2024-03-16_final
2024-03-16 10:57:24	ga_ls8c_ard_3-2-1_106080_2024-03-16_final
2024-03-16 10:57:48	ga_ls8c_ard_3-2-1_106081_2024-03-16_final
2024-03-18 10:42:37	ga_ls8c_ard_3-2-1_104074_2024-03-18_final
2024-03-18 10:43:01	ga_ls8c_ard_3-2-1_104075_2024-03-18_final
2024-03-18 10:43:25	ga_ls8c_ard_3-2-1_104076_2024-03-18_final
2024-03-18 10:43:49	ga_ls8c_ard_3-2-1_104077_2024-03-18_final
2024-03-18 10:44:13	ga_ls8c_ard_3-2-1_104078_2024-03-18_final
2024-03-18 10:44:37	ga_ls8c_ard_3-2-1_104079_2024-03-18_final
2024-03-18 10:45:01	ga_ls8c_ard_3-2-1_104080_2024-03-18_final
2024-03-18 10:45:25	ga_ls8c_ard_3-2-1_104081_2024-03-18_final
2024-03-18 10:45:49	ga_ls8c_ard_3-2-1_104082_2024-03-18_final
2024-03-23 10:59:29	ga_ls8c_ard_3-2-1_107070_2024-03-23_final
2024-03-23 10:59:53	ga_ls8c_ard_3-2-1_107071_2024-03-23_final
2024-03-23 11:00:17	ga_ls8c_ard_3-2-1_107072_2024-03-23_final
2024-03-23 11:00:41	ga_ls8c_ard_3-2-1_107073_2024-03-23_final
2024-03-23 11:01:05	ga_ls8c_ard_3-2-1_107074_2024-03-23_final
2024-03-23 11:01:28	ga_ls8c_ard_3-2-1_107075_2024-03-23_final
2024-03-23 11:01:52	ga_ls8c_ard_3-2-1_107076_2024-03-23_final
2024-03-23 11:02:16	ga_ls8c_ard_3-2-1_107077_2024-03-23_final
2024-03-25 10:46:40	ga_ls8c_ard_3-2-1_105069_2024-03-25_final
2024-03-25 10:47:04	ga_ls8c_ard_3-2-1_105070_2024-03-25_final
2024-03-25 10:47:28	ga_ls8c_ard_3-2-1_105071_2024-03-25_final
2024-03-25 10:47:52	ga_ls8c_ard_3-2-1_105072_2024-03-25_final
2024-03-25 10:48:16	ga_ls8c_ard_3-2-1_105073_2024-03-25_final
2024-03-25 10:48:40	ga_ls8c_ard_3-2-1_105074_2024-03-25_final
2024-03-25 10:49:04	ga_ls8c_ard_3-2-1_105075_2024-03-25_final
2024-03-25 10:49:28	ga_ls8c_ard_3-2-1_105076_2024-03-25_final
2024-03-25 10:49:52	ga_ls8c_ard_3-2-1_105077_2024-03-25_final
2024-03-25 10:50:16	ga_ls8c_ard_3-2-1_105078_2024-03-25_final
2024-03-25 10:50:40	ga_ls8c_ard_3-2-1_105079_2024-03-25_final
2024-03-25 10:51:04	ga_ls8c_ard_3-2-1_105080_2024-03-25_final
2024-03-25 10:51:28	ga_ls8c_ard_3-2-1_105081_2024-03-25_final
2024-03-25 10:51:51	ga_ls8c_ard_3-2-1_105082_2024-03-25_final
2024-03-25 10:52:15	ga_ls8c_ard_3-2-1_105083_2024-03-25_final
2024-03-27 10:37:50	ga_ls8c_ard_3-2-1_103078_2024-03-27_final
2024-03-27 10:38:14	ga_ls8c_ard_3-2-1_103079_2024-03-27_final
2024-03-27 10:38:38	ga_ls8c_ard_3-2-1_103080_2024-03-27_final
2024-03-27 10:39:02	ga_ls8c_ard_3-2-1_103081_2024-03-27_final
2024-03-27 10:39:26	ga_ls8c_ard_3-2-1_103082_2024-03-27_final
2024-03-30 11:05:09	ga_ls8c_ard_3-2-1_108069_2024-03-30_final
2024-03-30 11:05:33	ga_ls8c_ard_3-2-1_108070_2024-03-30_final
2024-03-30 11:05:57	ga_ls8c_ard_3-2-1_108071_2024-03-30_final
2024-03-30 11:06:21	ga_ls8c_ard_3-2-1_108072_2024-03-30_final
2024-03-30 11:06:45	ga_ls8c_ard_3-2-1_108073_2024-03-30_final
2024-04-01 10:52:24	ga_ls8c_ard_3-2-1_106068_2024-04-01_final
2024-04-01 10:52:48	ga_ls8c_ard_3-2-1_106069_2024-04-01_final
2024-04-01 10:53:12	ga_ls8c_ard_3-2-1_106070_2024-04-01_final
2024-04-01 10:53:36	ga_ls8c_ard_3-2-1_106071_2024-04-01_final
2024-04-01 10:54:00	ga_ls8c_ard_3-2-1_106072_2024-04-01_final
2024-04-01 10:54:24	ga_ls8c_ard_3-2-1_106073_2024-04-01_final
2024-04-01 10:54:48	ga_ls8c_ard_3-2-1_106074_2024-04-01_final
2024-04-01 10:55:12	ga_ls8c_ard_3-2-1_106075_2024-04-01_final
2024-04-01 10:55:35	ga_ls8c_ard_3-2-1_106076_2024-04-01_final
2024-04-01 10:55:59	ga_ls8c_ard_3-2-1_106077_2024-04-01_final
2024-04-01 10:56:23	ga_ls8c_ard_3-2-1_106078_2024-04-01_final
2024-04-01 10:56:47	ga_ls8c_ard_3-2-1_106079_2024-04-01_final
2024-04-01 10:57:11	ga_ls8c_ard_3-2-1_106080_2024-04-01_final
2024-04-01 10:57:35	ga_ls8c_ard_3-2-1_106081_2024-04-01_final
2024-04-03 10:42:26	ga_ls8c_ard_3-2-1_104074_2024-04-03_final
2024-04-03 10:42:50	ga_ls8c_ard_3-2-1_104075_2024-04-03_final
2024-04-03 10:43:14	ga_ls8c_ard_3-2-1_104076_2024-04-03_final
2024-04-03 10:43:38	ga_ls8c_ard_3-2-1_104077_2024-04-03_final
2024-04-03 10:44:02	ga_ls8c_ard_3-2-1_104078_2024-04-03_final
2024-04-03 10:44:26	ga_ls8c_ard_3-2-1_104079_2024-04-03_final
2024-04-03 10:44:50	ga_ls8c_ard_3-2-1_104080_2024-04-03_final
2024-04-03 10:45:14	ga_ls8c_ard_3-2-1_104081_2024-04-03_final
2024-04-03 10:45:38	ga_ls8c_ard_3-2-1_104082_2024-04-03_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

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