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
2015-03-07 10:09:38	ga_ls8c_ard_3-0-0_099069_2015-03-07_final
2015-03-07 10:10:02	ga_ls8c_ard_3-0-0_099070_2015-03-07_final
2015-03-08 10:52:52	ga_ls8c_ard_3-0-0_106069_2015-03-08_final
2015-03-08 10:53:16	ga_ls8c_ard_3-0-0_106070_2015-03-08_final
2015-03-09 09:57:14	ga_ls8c_ard_3-0-0_097069_2015-03-09_final
2015-03-09 09:57:38	ga_ls8c_ard_3-0-0_097070_2015-03-09_final
2015-03-10 10:40:53	ga_ls8c_ard_3-0-0_104070_2015-03-10_final
2015-03-11 11:23:43	ga_ls8c_ard_3-0-0_111069_2015-03-11_final
2015-03-11 11:24:07	ga_ls8c_ard_3-0-0_111070_2015-03-11_final
2015-03-12 10:28:29	ga_ls8c_ard_3-0-0_102070_2015-03-12_final
2015-03-13 11:11:44	ga_ls8c_ard_3-0-0_109070_2015-03-13_final
2015-04-01 10:03:10	ga_ls8c_ard_3-0-0_098069_2015-04-01_final
2015-04-01 10:03:34	ga_ls8c_ard_3-0-0_098070_2015-04-01_final
2015-04-02 10:46:24	ga_ls8c_ard_3-0-0_105069_2015-04-02_final
2015-04-02 10:46:48	ga_ls8c_ard_3-0-0_105070_2015-04-02_final
2015-04-03 11:29:39	ga_ls8c_ard_3-0-0_112069_2015-04-03_final
2015-04-03 11:30:03	ga_ls8c_ard_3-0-0_112070_2015-04-03_final
2015-04-04 10:34:25	ga_ls8c_ard_3-0-0_103070_2015-04-04_final
2016-01-13 10:59:27	ga_ls8c_ard_3-0-0_107069_2016-01-13_final
2016-01-13 10:59:51	ga_ls8c_ard_3-0-0_107070_2016-01-13_final
2016-01-16 09:51:28	ga_ls8c_ard_3-0-0_096069_2016-01-16_final
2016-01-16 09:51:52	ga_ls8c_ard_3-0-0_096070_2016-01-16_final
2016-01-16 11:30:21	ga_ls8c_ard_3-0-0_112069_2016-01-16_final
2016-01-16 11:30:45	ga_ls8c_ard_3-0-0_112070_2016-01-16_final
2016-01-17 10:34:44	ga_ls8c_ard_3-0-0_103069_2016-01-17_final
2016-01-17 10:35:08	ga_ls8c_ard_3-0-0_103070_2016-01-17_final
2016-02-14 10:59:19	ga_ls8c_ard_3-0-0_107069_2016-02-14_final
2016-02-14 10:59:43	ga_ls8c_ard_3-0-0_107070_2016-02-14_final
2018-09-16 10:03:22	ga_ls8c_ard_3-0-0_098069_2018-09-16_final
2018-09-16 10:03:46	ga_ls8c_ard_3-0-0_098070_2018-09-16_final
2018-09-17 10:46:38	ga_ls8c_ard_3-0-0_105069_2018-09-17_final
2018-09-17 10:47:02	ga_ls8c_ard_3-0-0_105070_2018-09-17_final
2018-10-04 09:51:09	ga_ls8c_ard_3-0-0_096069_2018-10-04_final
2018-10-04 09:51:33	ga_ls8c_ard_3-0-0_096070_2018-10-04_final
2018-10-04 11:30:02	ga_ls8c_ard_3-0-0_112069_2018-10-04_final
2018-10-04 11:30:26	ga_ls8c_ard_3-0-0_112070_2018-10-04_final
2018-10-05 10:34:25	ga_ls8c_ard_3-0-0_103069_2018-10-05_final
2018-10-05 10:34:49	ga_ls8c_ard_3-0-0_103070_2018-10-05_final
2018-10-06 11:17:41	ga_ls8c_ard_3-0-0_110069_2018-10-06_final
2018-10-06 11:18:05	ga_ls8c_ard_3-0-0_110070_2018-10-06_final
2018-10-07 10:22:04	ga_ls8c_ard_3-0-0_101069_2018-10-07_final
2018-10-07 10:22:28	ga_ls8c_ard_3-0-0_101070_2018-10-07_final
2018-12-09 11:17:48	ga_ls8c_ard_3-0-0_110069_2018-12-09_final
2018-12-09 11:18:12	ga_ls8c_ard_3-0-0_110070_2018-12-09_final
2018-12-10 10:22:10	ga_ls8c_ard_3-0-0_101069_2018-12-10_final
2018-12-10 10:22:34	ga_ls8c_ard_3-0-0_101070_2018-12-10_final
2018-12-25 11:17:47	ga_ls8c_ard_3-0-0_110069_2018-12-25_final
2018-12-25 11:18:11	ga_ls8c_ard_3-0-0_110070_2018-12-25_final
2018-12-26 10:22:10	ga_ls8c_ard_3-0-0_101069_2018-12-26_final
2018-12-26 10:22:34	ga_ls8c_ard_3-0-0_101070_2018-12-26_final
2019-01-06 10:03:37	ga_ls8c_ard_3-0-0_098069_2019-01-06_final
2019-01-06 10:04:01	ga_ls8c_ard_3-0-0_098070_2019-01-06_final
2019-01-07 10:46:52	ga_ls8c_ard_3-0-0_105069_2019-01-07_final
2019-01-07 10:47:16	ga_ls8c_ard_3-0-0_105070_2019-01-07_final
2019-01-08 09:51:15	ga_ls8c_ard_3-0-0_096069_2019-01-08_final
2019-01-08 09:51:39	ga_ls8c_ard_3-0-0_096070_2019-01-08_final
2019-01-08 11:30:08	ga_ls8c_ard_3-0-0_112069_2019-01-08_final
2019-01-08 11:30:32	ga_ls8c_ard_3-0-0_112070_2019-01-08_final
2019-01-09 10:34:30	ga_ls8c_ard_3-0-0_103069_2019-01-09_final
2019-01-09 10:34:54	ga_ls8c_ard_3-0-0_103070_2019-01-09_final
2019-01-10 11:17:46	ga_ls8c_ard_3-0-0_110069_2019-01-10_final
2019-01-10 11:18:10	ga_ls8c_ard_3-0-0_110070_2019-01-10_final
2019-01-11 10:22:08	ga_ls8c_ard_3-0-0_101069_2019-01-11_final
2019-01-11 10:22:32	ga_ls8c_ard_3-0-0_101070_2019-01-11_final
2021-10-19 09:58:00	ga_ls8c_ard_3-2-0_097069_2021-10-19_final
2021-10-19 09:58:24	ga_ls8c_ard_3-2-0_097070_2021-10-19_final
2021-10-20 10:41:16	ga_ls8c_ard_3-2-0_104069_2021-10-20_final
2021-10-20 10:41:39	ga_ls8c_ard_3-2-0_104070_2021-10-20_final
2021-10-21 09:46:02	ga_ls8c_ard_3-2-0_095070_2021-10-21_final
2021-10-21 11:24:31	ga_ls8c_ard_3-2-0_111069_2021-10-21_final
2021-10-21 11:24:55	ga_ls8c_ard_3-2-0_111070_2021-10-21_final
2021-10-22 10:28:54	ga_ls8c_ard_3-2-0_102069_2021-10-22_final
2021-10-22 10:29:18	ga_ls8c_ard_3-2-0_102070_2021-10-22_final
2021-10-23 11:12:10	ga_ls8c_ard_3-2-0_109069_2021-10-23_final
2021-10-23 11:12:34	ga_ls8c_ard_3-2-0_109070_2021-10-23_final
2021-10-24 10:16:32	ga_ls8c_ard_3-2-0_100069_2021-10-24_final
2021-10-24 10:16:56	ga_ls8c_ard_3-2-0_100070_2021-10-24_final
2021-10-25 10:59:48	ga_ls8c_ard_3-2-0_107069_2021-10-25_final
2021-10-25 11:00:12	ga_ls8c_ard_3-2-0_107070_2021-10-25_final
2021-11-12 10:47:23	ga_ls8c_ard_3-2-0_105069_2021-11-12_final
2021-11-12 10:47:47	ga_ls8c_ard_3-2-0_105070_2021-11-12_final
2021-11-13 09:51:45	ga_ls8c_ard_3-2-0_096069_2021-11-13_final
2021-11-13 09:52:09	ga_ls8c_ard_3-2-0_096070_2021-11-13_final
2021-11-13 11:30:38	ga_ls8c_ard_3-2-0_112069_2021-11-13_final
2021-11-13 11:31:02	ga_ls8c_ard_3-2-0_112070_2021-11-13_final
2021-11-14 10:35:00	ga_ls8c_ard_3-2-0_103069_2021-11-14_final
2021-11-14 10:35:24	ga_ls8c_ard_3-2-0_103070_2021-11-14_final
2021-11-15 11:18:16	ga_ls8c_ard_3-2-0_110069_2021-11-15_final
2021-11-15 11:18:40	ga_ls8c_ard_3-2-0_110070_2021-11-15_final
2021-11-16 10:22:38	ga_ls8c_ard_3-2-0_101069_2021-11-16_final
2021-11-16 10:23:02	ga_ls8c_ard_3-2-0_101070_2021-11-16_final
2021-11-17 11:05:53	ga_ls8c_ard_3-2-0_108069_2021-11-17_final
2021-11-17 11:06:17	ga_ls8c_ard_3-2-0_108070_2021-11-17_final
2021-11-18 10:10:15	ga_ls8c_ard_3-2-0_099069_2021-11-18_final
2021-11-18 10:10:39	ga_ls8c_ard_3-2-0_099070_2021-11-18_final
2021-11-23 10:28:49	ga_ls8c_ard_3-2-0_102069_2021-11-23_final
2021-11-23 10:29:13	ga_ls8c_ard_3-2-0_102070_2021-11-23_final
2021-11-24 11:12:05	ga_ls8c_ard_3-2-0_109069_2021-11-24_final
2021-11-24 11:12:29	ga_ls8c_ard_3-2-0_109070_2021-11-24_final
2021-11-25 10:16:28	ga_ls8c_ard_3-2-0_100069_2021-11-25_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