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
2013-11-22 10:49:00	ga_ls8c_ard_3-0-0_105070_2013-11-22_final
2013-11-24 10:36:38	ga_ls8c_ard_3-0-0_103070_2013-11-24_final
2014-03-29 10:04:23	ga_ls8c_ard_3-0-0_098070_2014-03-29_final
2014-03-30 10:47:38	ga_ls8c_ard_3-0-0_105070_2014-03-30_final
2014-03-31 09:52:01	ga_ls8c_ard_3-0-0_096070_2014-03-31_final
2014-03-31 11:30:54	ga_ls8c_ard_3-0-0_112070_2014-03-31_final
2014-04-01 10:35:16	ga_ls8c_ard_3-0-0_103070_2014-04-01_final
2016-02-08 09:57:58	ga_ls8c_ard_3-0-0_097070_2016-02-08_final
2016-02-09 10:41:14	ga_ls8c_ard_3-0-0_104070_2016-02-09_final
2016-02-10 09:45:36	ga_ls8c_ard_3-0-0_095070_2016-02-10_final
2016-02-10 11:24:29	ga_ls8c_ard_3-0-0_111070_2016-02-10_final
2016-02-11 10:28:51	ga_ls8c_ard_3-0-0_102070_2016-02-11_final
2016-02-12 11:12:06	ga_ls8c_ard_3-0-0_109070_2016-02-12_final
2016-02-13 10:16:28	ga_ls8c_ard_3-0-0_100070_2016-02-13_final
2016-02-18 10:34:57	ga_ls8c_ard_3-0-0_103070_2016-02-18_final
2016-02-19 11:18:12	ga_ls8c_ard_3-0-0_110070_2016-02-19_final
2016-02-20 10:22:35	ga_ls8c_ard_3-0-0_101070_2016-02-20_final
2016-02-21 11:05:50	ga_ls8c_ard_3-0-0_108070_2016-02-21_final
2016-04-13 10:40:50	ga_ls8c_ard_3-0-0_104070_2016-04-13_final
2016-04-14 09:45:12	ga_ls8c_ard_3-0-0_095070_2016-04-14_final
2016-04-14 11:24:05	ga_ls8c_ard_3-0-0_111070_2016-04-14_final
2016-04-15 10:28:27	ga_ls8c_ard_3-0-0_102070_2016-04-15_final
2016-04-22 10:34:35	ga_ls8c_ard_3-0-0_103070_2016-04-22_final
2016-04-23 11:17:50	ga_ls8c_ard_3-0-0_110070_2016-04-23_final
2016-04-24 10:22:12	ga_ls8c_ard_3-0-0_101070_2016-04-24_final
2016-04-25 11:05:27	ga_ls8c_ard_3-0-0_108070_2016-04-25_final
2016-04-26 10:09:51	ga_ls8c_ard_3-0-0_099070_2016-04-26_final
2016-04-27 10:53:08	ga_ls8c_ard_3-0-0_106070_2016-04-27_final
2016-04-28 09:57:31	ga_ls8c_ard_3-0-0_097070_2016-04-28_final
2017-10-03 11:18:33	ga_ls8c_ard_3-0-0_110070_2017-10-03_final
2017-10-04 10:22:56	ga_ls8c_ard_3-0-0_101070_2017-10-04_final
2017-10-05 11:06:12	ga_ls8c_ard_3-0-0_108070_2017-10-05_final
2017-10-08 09:58:14	ga_ls8c_ard_3-1-0_097070_2017-10-08_final
2017-10-09 10:41:30	ga_ls8c_ard_3-0-0_104070_2017-10-09_final
2017-10-10 09:45:53	ga_ls8c_ard_3-0-0_095070_2017-10-10_final
2017-10-10 11:24:46	ga_ls8c_ard_3-0-0_111070_2017-10-10_final
2017-11-23 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-11-23_final
2017-11-24 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-11-24_final
2017-11-25 09:58:09	ga_ls8c_ard_3-0-0_097070_2017-11-25_final
2017-12-25 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-12-25_final
2017-12-26 10:53:46	ga_ls8c_ard_3-0-0_106070_2017-12-26_final
2017-12-27 09:58:09	ga_ls8c_ard_3-0-0_097070_2017-12-27_final
2019-02-07 10:03:54	ga_ls8c_ard_3-0-0_098070_2019-02-07_final
2019-02-08 10:47:10	ga_ls8c_ard_3-0-0_105070_2019-02-08_final
2019-02-09 09:51:33	ga_ls8c_ard_3-0-0_096070_2019-02-09_final
2019-02-09 11:30:26	ga_ls8c_ard_3-0-0_112070_2019-02-09_final
2019-02-10 10:34:48	ga_ls8c_ard_3-0-0_103070_2019-02-10_final
2019-02-11 11:18:04	ga_ls8c_ard_3-0-0_110070_2019-02-11_final
2019-02-17 10:40:58	ga_ls8c_ard_3-0-0_104070_2019-02-17_final
2019-02-18 09:45:20	ga_ls8c_ard_3-0-0_095070_2019-02-18_final
2019-02-18 11:24:13	ga_ls8c_ard_3-0-0_111070_2019-02-18_final
2019-02-19 10:28:36	ga_ls8c_ard_3-0-0_102070_2019-02-19_final
2019-02-27 11:18:00	ga_ls8c_ard_3-0-0_110070_2019-02-27_final
2019-02-28 10:22:22	ga_ls8c_ard_3-0-0_101070_2019-02-28_final
2019-03-01 11:05:38	ga_ls8c_ard_3-0-0_108070_2019-03-01_final
2019-03-02 10:10:00	ga_ls8c_ard_3-0-0_099070_2019-03-02_final
2019-03-03 10:53:16	ga_ls8c_ard_3-0-0_106070_2019-03-03_final
2019-03-07 10:28:31	ga_ls8c_ard_3-1-0_102070_2019-03-07_final
2019-03-08 11:11:46	ga_ls8c_ard_3-1-0_109070_2019-03-08_final
2019-03-09 10:16:08	ga_ls8c_ard_3-1-0_100070_2019-03-09_final
2019-03-14 10:34:39	ga_ls8c_ard_3-1-0_103070_2019-03-14_final
2019-03-15 11:17:54	ga_ls8c_ard_3-1-0_110070_2019-03-15_final
2019-03-16 10:22:17	ga_ls8c_ard_3-1-0_101070_2019-03-16_final
2019-04-06 10:40:45	ga_ls8c_ard_3-1-0_104070_2019-04-06_final
2019-04-07 09:45:07	ga_ls8c_ard_3-1-0_095070_2019-04-07_final
2019-04-07 11:24:00	ga_ls8c_ard_3-1-0_111070_2019-04-07_final
2019-04-08 10:28:22	ga_ls8c_ard_3-1-0_102070_2019-04-08_final
2019-04-09 11:11:38	ga_ls8c_ard_3-1-0_109070_2019-04-09_final
2019-04-10 10:16:00	ga_ls8c_ard_3-1-0_100070_2019-04-10_final
2019-04-11 10:59:15	ga_ls8c_ard_3-1-0_107070_2019-04-11_final
2019-04-16 11:17:46	ga_ls8c_ard_3-1-0_110070_2019-04-16_final
2019-04-17 10:22:08	ga_ls8c_ard_3-1-0_101070_2019-04-17_final
2019-04-18 11:05:23	ga_ls8c_ard_3-1-0_108070_2019-04-18_final
2019-04-19 10:09:46	ga_ls8c_ard_3-1-0_099070_2019-04-19_final
2019-04-20 10:53:01	ga_ls8c_ard_3-0-0_106070_2019-04-20_final
2019-04-21 09:57:23	ga_ls8c_ard_3-0-0_097070_2019-04-21_final
2019-04-22 10:40:38	ga_ls8c_ard_3-0-0_104070_2019-04-22_final
2019-04-23 09:45:01	ga_ls8c_ard_3-0-0_095070_2019-04-23_final
2019-04-23 11:23:54	ga_ls8c_ard_3-0-0_111070_2019-04-23_final
2019-04-24 10:28:16	ga_ls8c_ard_3-0-0_102070_2019-04-24_final
2019-04-25 11:11:31	ga_ls8c_ard_3-0-0_109070_2019-04-25_final
2019-04-26 10:15:53	ga_ls8c_ard_3-0-0_100070_2019-04-26_final
2019-05-01 10:34:28	ga_ls8c_ard_3-0-0_103070_2019-05-01_final
2019-05-02 11:17:44	ga_ls8c_ard_3-0-0_110070_2019-05-02_final
2019-05-03 10:22:07	ga_ls8c_ard_3-0-0_101070_2019-05-03_final
2019-05-24 10:40:53	ga_ls8c_ard_3-0-0_104070_2019-05-24_final
2019-05-25 09:45:16	ga_ls8c_ard_3-0-0_095070_2019-05-25_final
2019-05-25 11:24:09	ga_ls8c_ard_3-0-0_111070_2019-05-25_final
2019-06-18 10:34:53	ga_ls8c_ard_3-1-0_103070_2019-06-18_final
2019-06-19 11:18:09	ga_ls8c_ard_3-1-0_110070_2019-06-19_final
2019-06-20 10:22:08	ga_ls8c_ard_3-1-0_101069_2019-06-20_final
2019-06-20 10:22:32	ga_ls8c_ard_3-1-0_101070_2019-06-20_final
2020-02-04 10:41:18	ga_ls8c_ard_3-1-0_104070_2020-02-04_final
2020-02-05 09:45:40	ga_ls8c_ard_3-1-0_095070_2020-02-05_final
2020-02-05 11:24:33	ga_ls8c_ard_3-1-0_111070_2020-02-05_final
2020-02-17 10:10:21	ga_ls8c_ard_3-1-0_099070_2020-02-17_final
2020-02-18 10:53:37	ga_ls8c_ard_3-1-0_106070_2020-02-18_final
2020-03-04 10:10:16	ga_ls8c_ard_3-1-0_099070_2020-03-04_final
2020-03-05 10:53:31	ga_ls8c_ard_3-1-0_106070_2020-03-05_final
2020-05-07 10:09:44	ga_ls8c_ard_3-1-0_099070_2020-05-07_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