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
2014-01-11 10:35:53	ga_ls8c_ard_3-0-0_103069_2014-01-11_final
2014-01-15 10:11:05	ga_ls8c_ard_3-0-0_099069_2014-01-15_final
2014-01-16 10:54:20	ga_ls8c_ard_3-0-0_106069_2014-01-16_final
2014-01-17 09:58:43	ga_ls8c_ard_3-0-0_097069_2014-01-17_final
2014-02-09 10:04:41	ga_ls8c_ard_3-0-0_098069_2014-02-09_final
2014-02-10 10:47:56	ga_ls8c_ard_3-0-0_105069_2014-02-10_final
2014-02-12 10:35:31	ga_ls8c_ard_3-0-0_103069_2014-02-12_final
2014-05-12 10:28:03	ga_ls8c_ard_3-0-0_102069_2014-05-12_final
2014-05-13 11:11:18	ga_ls8c_ard_3-0-0_109069_2014-05-13_final
2014-05-17 10:46:32	ga_ls8c_ard_3-0-0_105069_2014-05-17_final
2020-06-01 10:02:51	ga_ls8c_ard_3-1-0_098068_2020-06-01_final
2020-06-01 10:03:15	ga_ls8c_ard_3-1-0_098069_2020-06-01_final
2020-06-02 10:46:31	ga_ls8c_ard_3-1-0_105069_2020-06-02_final
2020-06-03 09:50:30	ga_ls8c_ard_3-1-0_096068_2020-06-03_final
2020-06-03 09:50:54	ga_ls8c_ard_3-1-0_096069_2020-06-03_final
2020-06-03 11:29:48	ga_ls8c_ard_3-1-0_112069_2020-06-03_final
2020-06-17 10:03:01	ga_ls8c_ard_3-1-0_098068_2020-06-17_final
2020-06-17 10:03:25	ga_ls8c_ard_3-1-0_098069_2020-06-17_final
2020-06-18 10:46:41	ga_ls8c_ard_3-1-0_105069_2020-06-18_final
2020-06-19 09:50:40	ga_ls8c_ard_3-1-0_096068_2020-06-19_final
2020-06-19 09:51:04	ga_ls8c_ard_3-1-0_096069_2020-06-19_final
2020-06-19 11:29:57	ga_ls8c_ard_3-1-0_112069_2020-06-19_final
2020-06-24 10:09:39	ga_ls8c_ard_3-1-0_099069_2020-06-24_final
2020-06-25 10:52:31	ga_ls8c_ard_3-1-0_106068_2020-06-25_final
2020-06-25 10:52:55	ga_ls8c_ard_3-1-0_106069_2020-06-25_final
2020-06-26 09:56:55	ga_ls8c_ard_3-1-0_097068_2020-06-26_final
2020-06-26 09:57:18	ga_ls8c_ard_3-1-0_097069_2020-06-26_final
2020-07-23 11:17:25	ga_ls8c_ard_3-1-0_110068_2020-07-23_final
2020-07-23 11:17:49	ga_ls8c_ard_3-1-0_110069_2020-07-23_final
2020-07-24 10:21:48	ga_ls8c_ard_3-1-0_101068_2020-07-24_final
2020-07-24 10:22:12	ga_ls8c_ard_3-1-0_101069_2020-07-24_final
2020-07-25 09:26:11	ga_ls8c_ard_3-1-0_092068_2020-07-24_final
2020-07-25 11:05:04	ga_ls8c_ard_3-1-0_108068_2020-07-25_final
2020-07-25 11:05:28	ga_ls8c_ard_3-1-0_108069_2020-07-25_final
2020-08-01 11:11:17	ga_ls8c_ard_3-1-0_109068_2020-08-01_final
2020-08-01 11:11:41	ga_ls8c_ard_3-1-0_109069_2020-08-01_final
2020-08-02 10:15:40	ga_ls8c_ard_3-1-0_100068_2020-08-02_final
2020-08-02 10:16:03	ga_ls8c_ard_3-1-0_100069_2020-08-02_final
2020-08-03 09:20:02	ga_ls8c_ard_3-1-0_091068_2020-08-02_final
2020-08-03 10:59:19	ga_ls8c_ard_3-1-0_107069_2020-08-03_final
2020-08-09 10:21:52	ga_ls8c_ard_3-1-0_101068_2020-08-09_final
2020-08-09 10:22:15	ga_ls8c_ard_3-1-0_101069_2020-08-09_final
2020-08-10 09:26:14	ga_ls8c_ard_3-1-0_092068_2020-08-09_final
2020-08-10 11:05:07	ga_ls8c_ard_3-1-0_108068_2020-08-10_final
2020-08-10 11:05:31	ga_ls8c_ard_3-1-0_108069_2020-08-10_final
2020-08-11 10:09:30	ga_ls8c_ard_3-1-0_099068_2020-08-11_final
2020-08-11 10:09:54	ga_ls8c_ard_3-1-0_099069_2020-08-11_final
2020-08-12 10:52:46	ga_ls8c_ard_3-1-0_106068_2020-08-12_final
2020-08-12 10:53:10	ga_ls8c_ard_3-1-0_106069_2020-08-12_final
2020-08-13 09:57:09	ga_ls8c_ard_3-1-0_097068_2020-08-13_final
2020-08-13 09:57:33	ga_ls8c_ard_3-1-0_097069_2020-08-13_final
2020-08-19 09:20:08	ga_ls8c_ard_3-1-0_091068_2020-08-18_final
2020-08-19 10:59:01	ga_ls8c_ard_3-1-0_107068_2020-08-19_final
2020-08-19 10:59:25	ga_ls8c_ard_3-1-0_107069_2020-08-19_final
2020-08-20 10:03:48	ga_ls8c_ard_3-1-0_098069_2020-08-20_final
2020-08-21 10:47:04	ga_ls8c_ard_3-1-0_105069_2020-08-21_final
2020-08-22 09:51:28	ga_ls8c_ard_3-1-0_096069_2020-08-22_final
2020-08-22 11:30:21	ga_ls8c_ard_3-1-0_112069_2020-08-22_final
2020-08-26 09:26:22	ga_ls8c_ard_3-1-0_092068_2020-08-25_final
2020-08-26 11:05:39	ga_ls8c_ard_3-1-0_108069_2020-08-26_final
2020-08-27 10:10:03	ga_ls8c_ard_3-1-0_099069_2020-08-27_final
2020-08-30 10:40:34	ga_ls8c_ard_3-1-0_104068_2020-08-30_final
2020-08-30 10:40:58	ga_ls8c_ard_3-1-0_104069_2020-08-30_final
2020-10-04 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-10-04_final
2020-10-05 10:16:26	ga_ls8c_ard_3-1-0_100069_2020-10-05_final
2020-10-06 09:20:25	ga_ls8c_ard_3-1-0_091068_2020-10-05_final
2020-10-06 10:59:18	ga_ls8c_ard_3-1-0_107068_2020-10-06_final
2020-10-06 10:59:42	ga_ls8c_ard_3-1-0_107069_2020-10-06_final
2020-10-08 10:46:56	ga_ls8c_ard_3-1-0_105068_2020-10-08_final
2020-10-08 10:47:20	ga_ls8c_ard_3-1-0_105069_2020-10-08_final
2020-10-09 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-10-09_final
2020-10-09 11:30:12	ga_ls8c_ard_3-1-0_112068_2020-10-09_final
2020-10-09 11:30:36	ga_ls8c_ard_3-1-0_112069_2020-10-09_final
2020-10-20 11:11:40	ga_ls8c_ard_3-1-0_109068_2020-10-20_final
2020-10-20 11:12:04	ga_ls8c_ard_3-1-0_109069_2020-10-20_final
2020-10-21 10:16:27	ga_ls8c_ard_3-1-0_100069_2020-10-21_final
2020-10-22 10:59:42	ga_ls8c_ard_3-1-0_107069_2020-10-22_final
2020-11-12 11:17:47	ga_ls8c_ard_3-1-0_110068_2020-11-12_final
2020-11-12 11:18:11	ga_ls8c_ard_3-1-0_110069_2020-11-12_final
2020-11-15 10:10:13	ga_ls8c_ard_3-1-0_099069_2020-11-15_final
2020-11-19 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-11-19_final
2020-11-20 10:28:47	ga_ls8c_ard_3-1-0_102069_2020-11-20_final
2020-11-21 09:32:46	ga_ls8c_ard_3-1-0_093068_2020-11-21_final
2020-11-21 11:12:03	ga_ls8c_ard_3-1-0_109069_2020-11-21_final
2020-11-22 10:16:26	ga_ls8c_ard_3-1-0_100069_2020-11-22_final
2020-12-04 10:41:11	ga_ls8c_ard_3-1-0_104069_2020-12-04_final
2020-12-05 11:24:27	ga_ls8c_ard_3-1-0_111069_2020-12-05_final
2020-12-06 10:28:49	ga_ls8c_ard_3-1-0_102069_2020-12-06_final
2020-12-07 11:12:05	ga_ls8c_ard_3-1-0_109069_2020-12-07_final
2021-11-10 10:59:21	ga_ls8c_ard_3-2-0_107068_2021-11-10_final
2021-11-10 10:59:45	ga_ls8c_ard_3-2-0_107069_2021-11-10_final
2021-11-11 10:03:44	ga_ls8c_ard_3-2-0_098068_2021-11-11_final
2021-11-11 10:04:08	ga_ls8c_ard_3-2-0_098069_2021-11-11_final
2021-11-14 10:35:00	ga_ls8c_ard_3-2-0_103069_2021-11-14_final
2021-11-15 11:17:52	ga_ls8c_ard_3-2-0_110068_2021-11-15_final
2021-11-15 11:18:16	ga_ls8c_ard_3-2-0_110069_2021-11-15_final
2021-12-19 11:05:53	ga_ls8c_ard_3-2-1_108069_2021-12-19_final
2021-12-20 10:10:15	ga_ls8c_ard_3-2-1_099069_2021-12-20_final
2021-12-21 10:53:31	ga_ls8c_ard_3-2-1_106069_2021-12-21_final
2021-12-22 09:57:53	ga_ls8c_ard_3-2-1_097069_2021-12-22_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years