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
2015-09-08 10:02:49	ga_ls8c_ard_3-0-0_098067_2015-09-08_final
2015-09-08 10:03:13	ga_ls8c_ard_3-0-0_098068_2015-09-08_final
2015-09-08 10:03:37	ga_ls8c_ard_3-0-0_098069_2015-09-08_final
2015-09-24 10:02:32	ga_ls8c_ard_3-2-1_098066_2015-09-24_final
2015-09-24 10:02:56	ga_ls8c_ard_3-0-0_098067_2015-09-24_final
2015-09-24 10:03:20	ga_ls8c_ard_3-0-0_098068_2015-09-24_final
2015-09-24 10:03:44	ga_ls8c_ard_3-0-0_098069_2015-09-24_final
2015-11-11 10:02:39	ga_ls8c_ard_3-2-1_098066_2015-11-11_final
2015-11-11 10:03:03	ga_ls8c_ard_3-0-0_098067_2015-11-11_final
2015-11-11 10:03:27	ga_ls8c_ard_3-0-0_098068_2015-11-11_final
2015-11-11 10:03:51	ga_ls8c_ard_3-0-0_098069_2015-11-11_final
2015-12-13 10:02:40	ga_ls8c_ard_3-2-1_098066_2015-12-13_final
2015-12-13 10:03:04	ga_ls8c_ard_3-0-0_098067_2015-12-13_final
2015-12-13 10:03:28	ga_ls8c_ard_3-0-0_098068_2015-12-13_final
2015-12-13 10:03:52	ga_ls8c_ard_3-0-0_098069_2015-12-13_final
2015-12-15 09:53:07	ga_ls8c_ard_3-0-0_096073_2015-12-15_final
2015-12-15 09:53:31	ga_ls8c_ard_3-0-0_096074_2015-12-15_final
2015-12-15 09:53:55	ga_ls8c_ard_3-0-0_096075_2015-12-15_final
2015-12-15 09:54:18	ga_ls8c_ard_3-0-0_096076_2015-12-15_final
2015-12-15 09:54:42	ga_ls8c_ard_3-0-0_096077_2015-12-15_final
2015-12-15 09:55:06	ga_ls8c_ard_3-0-0_096078_2015-12-15_final
2015-12-15 09:55:30	ga_ls8c_ard_3-0-0_096079_2015-12-15_final
2016-01-04 09:34:44	ga_ls8c_ard_3-0-0_092089_2016-01-04_final
2016-01-04 09:35:08	ga_ls8c_ard_3-0-0_092090_2016-01-04_final
2016-01-07 09:57:14	ga_ls8c_ard_3-0-0_097068_2016-01-07_final
2016-01-07 09:57:38	ga_ls8c_ard_3-0-0_097069_2016-01-07_final
2016-01-07 09:58:02	ga_ls8c_ard_3-0-0_097070_2016-01-07_final
2016-01-07 09:58:26	ga_ls8c_ard_3-0-0_097071_2016-01-07_final
2016-01-07 09:58:50	ga_ls8c_ard_3-0-0_097072_2016-01-07_final
2016-01-07 09:59:14	ga_ls8c_ard_3-0-0_097073_2016-01-07_final
2016-01-07 09:59:37	ga_ls8c_ard_3-0-0_097074_2016-01-07_final
2016-02-01 09:53:02	ga_ls8c_ard_3-0-0_096073_2016-02-01_final
2016-02-01 09:53:26	ga_ls8c_ard_3-0-0_096074_2016-02-01_final
2016-02-01 09:53:50	ga_ls8c_ard_3-0-0_096075_2016-02-01_final
2016-02-01 09:54:14	ga_ls8c_ard_3-0-0_096076_2016-02-01_final
2016-02-01 09:54:38	ga_ls8c_ard_3-0-0_096077_2016-02-01_final
2016-02-01 09:55:02	ga_ls8c_ard_3-0-0_096078_2016-02-01_final
2016-02-01 09:55:26	ga_ls8c_ard_3-0-0_096079_2016-02-01_final
2016-02-21 09:34:32	ga_ls8c_ard_3-0-0_092089_2016-02-21_final
2016-02-21 09:34:56	ga_ls8c_ard_3-0-0_092090_2016-02-21_final
2016-02-24 09:57:04	ga_ls8c_ard_3-0-0_097068_2016-02-24_final
2016-02-24 09:57:28	ga_ls8c_ard_3-0-0_097069_2016-02-24_final
2016-02-24 09:57:52	ga_ls8c_ard_3-1-0_097070_2016-02-24_final
2016-02-24 09:58:16	ga_ls8c_ard_3-0-0_097071_2016-02-24_final
2016-02-24 09:58:39	ga_ls8c_ard_3-0-0_097072_2016-02-24_final
2016-02-24 09:59:03	ga_ls8c_ard_3-0-0_097073_2016-02-24_final
2016-02-24 09:59:27	ga_ls8c_ard_3-0-0_097074_2016-02-24_final
2016-04-09 09:34:16	ga_ls8c_ard_3-0-0_092089_2016-04-09_final
2016-04-09 09:34:40	ga_ls8c_ard_3-0-0_092090_2016-04-09_final
2016-04-12 09:56:46	ga_ls8c_ard_3-0-0_097068_2016-04-12_final
2016-04-12 09:57:10	ga_ls8c_ard_3-0-0_097069_2016-04-12_final
2016-04-12 09:57:34	ga_ls8c_ard_3-0-0_097070_2016-04-12_final
2016-04-12 09:57:58	ga_ls8c_ard_3-0-0_097071_2016-04-12_final
2016-04-12 09:58:22	ga_ls8c_ard_3-0-0_097072_2016-04-12_final
2016-04-12 09:58:46	ga_ls8c_ard_3-0-0_097073_2016-04-12_final
2016-04-12 09:59:10	ga_ls8c_ard_3-0-0_097074_2016-04-12_final
2016-04-25 09:34:09	ga_ls8c_ard_3-0-0_092089_2016-04-25_final
2016-04-25 09:34:33	ga_ls8c_ard_3-0-0_092090_2016-04-25_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2024-02-14 09:57:15	ga_ls8c_ard_3-2-1_097068_2024-02-14_final
2024-02-14 09:57:39	ga_ls8c_ard_3-2-1_097069_2024-02-14_final
2024-02-14 09:58:03	ga_ls8c_ard_3-2-1_097070_2024-02-14_final
2024-02-14 09:58:27	ga_ls8c_ard_3-2-1_097071_2024-02-14_final
2024-02-14 09:58:50	ga_ls8c_ard_3-2-1_097072_2024-02-14_final
2024-02-14 09:59:14	ga_ls8c_ard_3-2-1_097073_2024-02-14_final
2024-02-14 09:59:38	ga_ls8c_ard_3-2-1_097074_2024-02-14_final
2024-02-16 09:48:28	ga_ls8c_ard_3-2-1_095077_2024-02-16_final
2024-02-16 09:48:52	ga_ls8c_ard_3-2-1_095078_2024-02-16_final
2024-02-16 09:49:16	ga_ls8c_ard_3-2-1_095079_2024-02-16_final
2024-02-16 09:49:39	ga_ls8c_ard_3-2-1_095080_2024-02-16_final
2024-02-16 09:50:03	ga_ls8c_ard_3-2-1_095081_2024-02-16_final
2024-02-16 09:50:27	ga_ls8c_ard_3-2-1_095082_2024-02-16_final
2024-02-16 09:50:51	ga_ls8c_ard_3-2-1_095083_2024-02-16_final
2024-02-18 09:39:18	ga_ls8c_ard_3-2-1_093085_2024-02-18_final
2024-02-18 09:39:42	ga_ls8c_ard_3-2-1_093086_2024-02-18_final
2024-02-18 09:40:06	ga_ls8c_ard_3-2-1_093087_2024-02-18_final
2024-02-18 09:40:30	ga_ls8c_ard_3-2-1_093088_2024-02-18_final
2024-02-23 09:53:02	ga_ls8c_ard_3-2-1_096073_2024-02-23_final
2024-02-23 09:53:50	ga_ls8c_ard_3-2-1_096075_2024-02-23_final
2024-02-23 09:54:14	ga_ls8c_ard_3-2-1_096076_2024-02-23_final
2024-02-23 09:54:38	ga_ls8c_ard_3-2-1_096077_2024-02-23_final
2024-02-23 09:55:02	ga_ls8c_ard_3-2-1_096078_2024-02-23_final
2024-02-23 09:55:26	ga_ls8c_ard_3-2-1_096079_2024-02-23_final
2024-02-27 09:34:40	ga_ls8c_ard_3-2-1_092089_2024-02-27_final
2024-02-27 09:35:04	ga_ls8c_ard_3-2-1_092090_2024-02-27_final
2024-03-24 10:02:14	ga_ls8c_ard_3-2-1_098066_2024-03-24_final
2024-03-24 10:02:38	ga_ls8c_ard_3-2-1_098067_2024-03-24_final
2024-03-24 10:03:02	ga_ls8c_ard_3-2-1_098068_2024-03-24_final
2024-03-24 10:03:26	ga_ls8c_ard_3-2-1_098069_2024-03-24_final
2024-03-26 09:52:37	ga_ls8c_ard_3-2-1_096073_2024-03-26_final
2024-03-26 09:53:01	ga_ls8c_ard_3-2-1_096074_2024-03-26_final
2024-03-26 09:53:25	ga_ls8c_ard_3-2-1_096075_2024-03-26_final
2024-03-26 09:53:49	ga_ls8c_ard_3-2-1_096076_2024-03-26_final
2024-03-26 09:54:13	ga_ls8c_ard_3-2-1_096077_2024-03-26_final
2024-03-26 09:54:37	ga_ls8c_ard_3-2-1_096078_2024-03-26_final
2024-03-26 09:55:01	ga_ls8c_ard_3-2-1_096079_2024-03-26_final
2024-04-04 09:49:36	ga_ls8c_ard_3-2-1_095081_2024-04-04_final
2024-04-04 09:50:00	ga_ls8c_ard_3-2-1_095082_2024-04-04_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