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
2014-07-11 10:53:03	ga_ls8c_ard_3-0-0_106069_2014-07-11_final
2014-07-11 10:53:27	ga_ls8c_ard_3-0-0_106070_2014-07-11_final
2014-07-12 09:57:26	ga_ls8c_ard_3-0-0_097069_2014-07-12_final
2014-07-12 09:57:50	ga_ls8c_ard_3-0-0_097070_2014-07-12_final
2014-07-13 10:40:42	ga_ls8c_ard_3-0-0_104069_2014-07-13_final
2014-07-13 10:41:06	ga_ls8c_ard_3-0-0_104070_2014-07-13_final
2014-07-14 09:45:28	ga_ls8c_ard_3-0-0_095070_2014-07-14_final
2014-07-14 11:23:57	ga_ls8c_ard_3-0-0_111069_2014-07-14_final
2014-07-14 11:24:21	ga_ls8c_ard_3-0-0_111070_2014-07-14_final
2014-07-15 10:28:20	ga_ls8c_ard_3-0-0_102069_2014-07-15_final
2014-07-15 10:28:44	ga_ls8c_ard_3-0-0_102070_2014-07-15_final
2014-07-28 09:57:29	ga_ls8c_ard_3-0-0_097069_2014-07-28_final
2014-07-28 09:57:53	ga_ls8c_ard_3-0-0_097070_2014-07-28_final
2014-07-29 10:40:46	ga_ls8c_ard_3-0-0_104069_2014-07-29_final
2014-07-29 10:41:10	ga_ls8c_ard_3-0-0_104070_2014-07-29_final
2014-07-30 09:45:33	ga_ls8c_ard_3-0-0_095070_2014-07-30_final
2014-07-30 11:24:02	ga_ls8c_ard_3-0-0_111069_2014-07-30_final
2014-07-30 11:24:26	ga_ls8c_ard_3-0-0_111070_2014-07-30_final
2014-07-31 10:28:25	ga_ls8c_ard_3-0-0_102069_2014-07-31_final
2014-07-31 10:28:49	ga_ls8c_ard_3-0-0_102070_2014-07-31_final
2014-08-13 09:57:37	ga_ls8c_ard_3-0-0_097069_2014-08-13_final
2014-08-13 09:58:01	ga_ls8c_ard_3-0-0_097070_2014-08-13_final
2014-08-14 10:40:53	ga_ls8c_ard_3-0-0_104069_2014-08-14_final
2014-08-14 10:41:17	ga_ls8c_ard_3-0-0_104070_2014-08-14_final
2014-08-15 09:45:40	ga_ls8c_ard_3-0-0_095070_2014-08-15_final
2014-08-15 11:24:09	ga_ls8c_ard_3-0-0_111069_2014-08-15_final
2014-08-15 11:24:33	ga_ls8c_ard_3-0-0_111070_2014-08-15_final
2014-08-16 10:28:32	ga_ls8c_ard_3-0-0_102069_2014-08-16_final
2014-08-16 10:28:56	ga_ls8c_ard_3-0-0_102070_2014-08-16_final
2014-09-06 10:47:08	ga_ls8c_ard_3-0-0_105069_2014-09-06_final
2014-09-06 10:47:32	ga_ls8c_ard_3-0-0_105070_2014-09-06_final
2014-09-07 09:51:55	ga_ls8c_ard_3-0-0_096070_2014-09-07_final
2014-09-07 11:30:24	ga_ls8c_ard_3-0-0_112069_2014-09-07_final
2014-09-07 11:30:48	ga_ls8c_ard_3-0-0_112070_2014-09-07_final
2014-09-08 10:34:47	ga_ls8c_ard_3-0-0_103069_2014-09-08_final
2014-09-08 10:35:11	ga_ls8c_ard_3-0-0_103070_2014-09-08_final
2014-09-09 11:18:03	ga_ls8c_ard_3-0-0_110069_2014-09-09_final
2014-09-09 11:18:27	ga_ls8c_ard_3-0-0_110070_2014-09-09_final
2014-09-10 10:22:50	ga_ls8c_ard_3-0-0_101070_2014-09-10_final
2014-09-16 09:45:45	ga_ls8c_ard_3-0-0_095070_2014-09-16_final
2014-09-16 11:24:14	ga_ls8c_ard_3-0-0_111069_2014-09-16_final
2014-09-16 11:24:38	ga_ls8c_ard_3-0-0_111070_2014-09-16_final
2014-09-17 10:28:36	ga_ls8c_ard_3-0-0_102069_2014-09-17_final
2014-09-17 10:29:00	ga_ls8c_ard_3-0-0_102070_2014-09-17_final
2014-12-19 09:57:41	ga_ls8c_ard_3-0-0_097069_2014-12-19_final
2014-12-20 10:40:57	ga_ls8c_ard_3-0-0_104069_2014-12-20_final
2014-12-20 10:41:21	ga_ls8c_ard_3-0-0_104070_2014-12-20_final
2014-12-21 09:45:44	ga_ls8c_ard_3-0-0_095070_2014-12-21_final
2014-12-21 11:24:13	ga_ls8c_ard_3-0-0_111069_2014-12-21_final
2014-12-21 11:24:37	ga_ls8c_ard_3-0-0_111070_2014-12-21_final
2014-12-22 10:28:35	ga_ls8c_ard_3-0-0_102069_2014-12-22_final
2014-12-22 10:28:59	ga_ls8c_ard_3-0-0_102070_2014-12-22_final
2015-09-11 10:34:33	ga_ls8c_ard_3-0-0_103069_2015-09-11_final
2015-09-11 10:34:57	ga_ls8c_ard_3-0-0_103070_2015-09-11_final
2015-09-12 11:17:49	ga_ls8c_ard_3-0-0_110069_2015-09-12_final
2015-09-12 11:18:13	ga_ls8c_ard_3-0-0_110070_2015-09-12_final
2015-09-13 10:22:12	ga_ls8c_ard_3-0-0_101069_2015-09-13_final
2015-09-13 10:22:36	ga_ls8c_ard_3-0-0_101070_2015-09-13_final
2015-11-07 10:28:35	ga_ls8c_ard_3-0-0_102069_2015-11-07_final
2015-11-07 10:28:59	ga_ls8c_ard_3-0-0_102070_2015-11-07_final
2015-11-08 11:11:51	ga_ls8c_ard_3-0-0_109069_2015-11-08_final
2015-11-08 11:12:14	ga_ls8c_ard_3-0-0_109070_2015-11-08_final
2015-11-09 10:16:13	ga_ls8c_ard_3-0-0_100069_2015-11-09_final
2015-11-09 10:16:37	ga_ls8c_ard_3-1-0_100070_2015-11-09_final
2017-06-21 10:28:12	ga_ls8c_ard_3-0-0_102069_2017-06-21_final
2017-06-21 10:28:36	ga_ls8c_ard_3-0-0_102070_2017-06-21_final
2017-06-22 11:11:28	ga_ls8c_ard_3-0-0_109069_2017-06-22_final
2017-06-22 11:11:52	ga_ls8c_ard_3-0-0_109070_2017-06-22_final
2017-06-23 10:15:51	ga_ls8c_ard_3-0-0_100069_2017-06-23_final
2017-06-23 10:16:15	ga_ls8c_ard_3-1-0_100070_2017-06-23_final
2017-06-24 10:59:07	ga_ls8c_ard_3-0-0_107069_2017-06-24_final
2017-06-24 10:59:31	ga_ls8c_ard_3-0-0_107070_2017-06-24_final
2017-08-08 10:28:29	ga_ls8c_ard_3-0-0_102069_2017-08-08_final
2017-08-08 10:28:53	ga_ls8c_ard_3-0-0_102070_2017-08-08_final
2017-08-09 11:11:45	ga_ls8c_ard_3-0-0_109069_2017-08-09_final
2017-08-09 11:12:09	ga_ls8c_ard_3-0-0_109070_2017-08-09_final
2017-08-10 10:16:08	ga_ls8c_ard_3-0-0_100069_2017-08-10_final
2017-08-10 10:16:32	ga_ls8c_ard_3-0-0_100070_2017-08-10_final
2017-08-11 10:59:24	ga_ls8c_ard_3-0-0_107069_2017-08-11_final
2017-08-11 10:59:48	ga_ls8c_ard_3-0-0_107070_2017-08-11_final
2017-08-24 10:28:33	ga_ls8c_ard_3-0-0_102069_2017-08-24_final
2017-08-24 10:28:57	ga_ls8c_ard_3-0-0_102070_2017-08-24_final
2017-08-25 11:11:49	ga_ls8c_ard_3-0-0_109069_2017-08-25_final
2017-08-25 11:12:13	ga_ls8c_ard_3-0-0_109070_2017-08-25_final
2017-08-26 10:16:12	ga_ls8c_ard_3-0-0_100069_2017-08-26_final
2017-08-26 10:16:36	ga_ls8c_ard_3-0-0_100070_2017-08-26_final
2017-08-27 10:59:28	ga_ls8c_ard_3-0-0_107069_2017-08-27_final
2017-08-27 10:59:52	ga_ls8c_ard_3-0-0_107070_2017-08-27_final
2020-03-01 11:17:52	ga_ls8c_ard_3-1-0_110069_2020-03-01_final
2020-03-02 10:22:15	ga_ls8c_ard_3-1-0_101069_2020-03-02_final
2020-03-03 11:05:30	ga_ls8c_ard_3-1-0_108069_2020-03-03_final
2020-03-06 09:57:30	ga_ls8c_ard_3-1-0_097069_2020-03-06_final
2020-03-07 10:40:45	ga_ls8c_ard_3-1-0_104069_2020-03-07_final
2020-03-08 09:45:31	ga_ls8c_ard_3-1-0_095070_2020-03-08_final
2020-03-08 11:24:00	ga_ls8c_ard_3-1-0_111069_2020-03-08_final
2020-04-21 10:09:29	ga_ls8c_ard_3-1-0_099069_2020-04-21_final
2020-04-22 10:52:44	ga_ls8c_ard_3-1-0_106069_2020-04-22_final
2020-04-22 10:53:08	ga_ls8c_ard_3-1-0_106070_2020-04-22_final
2020-04-23 09:57:06	ga_ls8c_ard_3-1-0_097069_2020-04-23_final
2020-05-05 10:21:43	ga_ls8c_ard_3-1-0_101069_2020-05-05_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years