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
2015-07-10 11:16:37	ga_ls8c_ard_3-0-0_110067_2015-07-10_final
2015-07-10 11:17:01	ga_ls8c_ard_3-0-0_110068_2015-07-10_final
2015-07-11 10:21:00	ga_ls8c_ard_3-0-0_101067_2015-07-11_final
2015-07-11 10:21:24	ga_ls8c_ard_3-0-0_101068_2015-07-11_final
2015-07-12 09:25:23	ga_ls8c_ard_3-0-0_092067_2015-07-11_final
2015-07-12 09:25:47	ga_ls8c_ard_3-0-0_092068_2015-07-11_final
2015-07-12 11:04:16	ga_ls8c_ard_3-0-0_108067_2015-07-12_final
2015-07-12 11:04:40	ga_ls8c_ard_3-0-0_108068_2015-07-12_final
2015-08-11 09:37:54	ga_ls8c_ard_3-0-0_094067_2015-08-11_final
2015-08-11 11:16:47	ga_ls8c_ard_3-0-0_110067_2015-08-11_final
2015-08-11 11:17:11	ga_ls8c_ard_3-0-0_110068_2015-08-11_final
2015-08-12 10:21:34	ga_ls8c_ard_3-0-0_101068_2015-08-12_final
2015-08-13 09:25:57	ga_ls8c_ard_3-0-0_092068_2015-08-12_final
2015-08-13 11:04:50	ga_ls8c_ard_3-0-0_108068_2015-08-13_final
2016-01-09 11:23:45	ga_ls8c_ard_3-0-0_111068_2016-01-09_final
2016-01-10 10:28:08	ga_ls8c_ard_3-0-0_102068_2016-01-10_final
2016-01-11 09:32:31	ga_ls8c_ard_3-0-0_093068_2016-01-11_final
2016-01-11 11:11:24	ga_ls8c_ard_3-0-0_109068_2016-01-11_final
2016-01-12 10:15:47	ga_ls8c_ard_3-0-0_100068_2016-01-12_final
2016-01-25 09:44:29	ga_ls8c_ard_3-0-0_095067_2016-01-25_final
2016-01-25 11:23:46	ga_ls8c_ard_3-0-0_111068_2016-01-25_final
2016-01-26 10:28:09	ga_ls8c_ard_3-0-0_102068_2016-01-26_final
2016-01-27 09:32:31	ga_ls8c_ard_3-0-0_093068_2016-01-27_final
2016-01-27 11:11:24	ga_ls8c_ard_3-0-0_109068_2016-01-27_final
2016-01-28 10:15:47	ga_ls8c_ard_3-0-0_100068_2016-01-28_final
2016-01-29 09:20:09	ga_ls8c_ard_3-0-0_091068_2016-01-28_final
2016-04-05 09:50:38	ga_ls8c_ard_3-0-0_096068_2016-04-05_final
2016-04-05 11:29:31	ga_ls8c_ard_3-0-0_112068_2016-04-05_final
2016-04-06 10:33:53	ga_ls8c_ard_3-0-0_103068_2016-04-06_final
2016-04-07 11:17:09	ga_ls8c_ard_3-0-0_110068_2016-04-07_final
2016-04-08 10:21:31	ga_ls8c_ard_3-0-0_101068_2016-04-08_final
2016-04-09 09:25:53	ga_ls8c_ard_3-0-0_092068_2016-04-08_final
2016-04-21 09:50:32	ga_ls8c_ard_3-0-0_096068_2016-04-21_final
2016-04-21 11:29:25	ga_ls8c_ard_3-0-0_112068_2016-04-21_final
2016-04-22 10:33:47	ga_ls8c_ard_3-0-0_103068_2016-04-22_final
2016-04-23 11:16:38	ga_ls8c_ard_3-0-0_110067_2016-04-23_final
2016-04-23 11:17:02	ga_ls8c_ard_3-0-0_110068_2016-04-23_final
2016-04-24 10:21:24	ga_ls8c_ard_3-0-0_101068_2016-04-24_final
2016-04-25 09:25:46	ga_ls8c_ard_3-0-0_092068_2016-04-24_final
2016-11-28 10:59:18	ga_ls8c_ard_3-0-0_107068_2016-11-28_final
2016-11-29 10:03:41	ga_ls8c_ard_3-0-0_098068_2016-11-29_final
2016-11-30 10:46:57	ga_ls8c_ard_3-0-0_105068_2016-11-30_final
2016-12-01 09:51:19	ga_ls8c_ard_3-0-0_096068_2016-12-01_final
2016-12-01 11:30:12	ga_ls8c_ard_3-0-0_112068_2016-12-01_final
2016-12-02 10:34:35	ga_ls8c_ard_3-0-0_103068_2016-12-02_final
2016-12-06 10:09:51	ga_ls8c_ard_3-0-0_099068_2016-12-06_final
2016-12-07 10:53:06	ga_ls8c_ard_3-0-0_106068_2016-12-07_final
2016-12-15 10:03:37	ga_ls8c_ard_3-0-0_098068_2016-12-15_final
2016-12-16 10:46:53	ga_ls8c_ard_3-0-0_105068_2016-12-16_final
2016-12-19 11:17:45	ga_ls8c_ard_3-0-0_110068_2016-12-19_final
2016-12-20 10:22:08	ga_ls8c_ard_3-0-0_101068_2016-12-20_final
2016-12-21 09:26:30	ga_ls8c_ard_3-0-0_092068_2016-12-20_final
2016-12-21 11:05:23	ga_ls8c_ard_3-0-0_108068_2016-12-21_final
2016-12-22 10:09:46	ga_ls8c_ard_3-0-0_099068_2016-12-22_final
2016-12-23 10:53:02	ga_ls8c_ard_3-0-0_106068_2016-12-23_final
2016-12-24 09:57:24	ga_ls8c_ard_3-0-0_097068_2016-12-24_final
2016-12-25 10:40:40	ga_ls8c_ard_3-0-0_104068_2016-12-25_final
2017-01-02 09:51:12	ga_ls8c_ard_3-0-0_096068_2017-01-02_final
2017-01-02 11:30:05	ga_ls8c_ard_3-0-0_112068_2017-01-02_final
2017-01-03 10:34:27	ga_ls8c_ard_3-0-0_103068_2017-01-03_final
2017-01-15 10:59:08	ga_ls8c_ard_3-0-0_107068_2017-01-15_final
2017-01-16 10:03:30	ga_ls8c_ard_3-0-0_098068_2017-01-16_final
2017-01-17 10:46:46	ga_ls8c_ard_3-0-0_105068_2017-01-17_final
2017-01-18 09:51:08	ga_ls8c_ard_3-0-0_096068_2017-01-18_final
2017-01-18 11:30:01	ga_ls8c_ard_3-0-0_112068_2017-01-18_final
2017-01-19 10:34:23	ga_ls8c_ard_3-0-0_103068_2017-01-19_final
2017-02-01 10:03:23	ga_ls8c_ard_3-0-0_098068_2017-02-01_final
2017-02-02 10:46:39	ga_ls8c_ard_3-0-0_105068_2017-02-02_final
2017-02-25 10:52:40	ga_ls8c_ard_3-0-0_106068_2017-02-25_final
2017-02-26 09:57:03	ga_ls8c_ard_3-0-0_097068_2017-02-26_final
2017-02-27 10:40:18	ga_ls8c_ard_3-0-0_104068_2017-02-27_final
2017-03-09 11:16:54	ga_ls8c_ard_3-0-0_110067_2017-03-09_final
2017-03-09 11:17:18	ga_ls8c_ard_3-0-0_110068_2017-03-09_final
2017-03-10 10:21:40	ga_ls8c_ard_3-0-0_101068_2017-03-10_final
2017-03-11 09:26:02	ga_ls8c_ard_3-0-0_092068_2017-03-10_final
2018-09-16 10:02:34	ga_ls8c_ard_3-0-0_098067_2018-09-16_final
2018-09-16 10:02:58	ga_ls8c_ard_3-0-0_098068_2018-09-16_final
2018-09-17 10:46:14	ga_ls8c_ard_3-0-0_105068_2018-09-17_final
2018-10-04 09:50:45	ga_ls8c_ard_3-0-0_096068_2018-10-04_final
2018-10-04 11:29:38	ga_ls8c_ard_3-0-0_112068_2018-10-04_final
2018-10-05 10:34:01	ga_ls8c_ard_3-0-0_103068_2018-10-05_final
2018-10-06 11:16:53	ga_ls8c_ard_3-0-0_110067_2018-10-06_final
2018-10-06 11:17:17	ga_ls8c_ard_3-0-0_110068_2018-10-06_final
2018-10-07 10:21:40	ga_ls8c_ard_3-0-0_101068_2018-10-07_final
2018-10-08 09:25:40	ga_ls8c_ard_3-0-0_092067_2018-10-07_final
2018-10-08 09:26:03	ga_ls8c_ard_3-0-0_092068_2018-10-07_final
2018-12-25 11:17:23	ga_ls8c_ard_3-0-0_110068_2018-12-25_final
2018-12-26 10:21:46	ga_ls8c_ard_3-0-0_101068_2018-12-26_final
2018-12-27 09:26:09	ga_ls8c_ard_3-0-0_092068_2018-12-26_final
2019-01-06 10:03:13	ga_ls8c_ard_3-0-0_098068_2019-01-06_final
2019-01-07 10:46:28	ga_ls8c_ard_3-0-0_105068_2019-01-07_final
2019-10-27 11:05:33	ga_ls8c_ard_3-1-0_108068_2019-10-27_final
2019-10-28 10:09:55	ga_ls8c_ard_3-1-0_099068_2019-10-28_final
2019-10-29 10:53:11	ga_ls8c_ard_3-1-0_106068_2019-10-29_final
2019-10-30 09:57:34	ga_ls8c_ard_3-1-0_097068_2019-10-30_final
2019-10-31 10:40:49	ga_ls8c_ard_3-1-0_104068_2019-10-31_final
2019-11-12 11:05:31	ga_ls8c_ard_3-1-0_108068_2019-11-12_final
2019-11-13 10:09:53	ga_ls8c_ard_3-1-0_099068_2019-11-13_final
2019-11-14 10:53:09	ga_ls8c_ard_3-1-0_106068_2019-11-14_final
2019-11-15 09:57:31	ga_ls8c_ard_3-1-0_097068_2019-11-15_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