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
2013-07-04 09:46:12	ga_ls8c_ard_3-0-0_094082_2013-07-04_final
2013-07-04 11:24:17	ga_ls8c_ard_3-0-0_110080_2013-07-04_final
2013-07-07 11:54:47	ga_ls8c_ard_3-0-0_115079_2013-07-07_final
2013-07-27 09:52:23	ga_ls8c_ard_3-0-0_095082_2013-07-27_final
2013-07-29 11:17:19	ga_ls8c_ard_3-0-0_109078_2013-07-29_final
2013-08-01 10:11:20	ga_ls8c_ard_3-0-0_098083_2013-08-01_final
2013-09-01 11:05:00	ga_ls8c_ard_3-0-0_107078_2013-09-01_final
2013-09-02 10:10:59	ga_ls8c_ard_3-0-0_098082_2013-09-02_final
2013-09-11 10:04:46	ga_ls8c_ard_3-0-0_097082_2013-09-11_final
2013-09-13 11:31:16	ga_ls8c_ard_3-0-0_111082_2013-09-13_final
2013-10-17 11:19:10	ga_ls8c_ard_3-0-0_109083_2013-10-17_final
2013-10-22 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-10-22_final
2013-11-10 10:28:25	ga_ls8c_ard_3-0-0_101080_2013-11-10_final
2014-01-06 10:22:14	ga_ls8c_ard_3-0-0_100081_2014-01-06_final
2014-01-28 09:46:55	ga_ls8c_ard_3-0-0_094086_2014-01-28_final
2014-01-28 09:47:19	ga_ls8c_ard_3-0-0_094087_2014-01-28_final
2014-02-26 10:51:18	ga_ls8c_ard_3-0-0_105078_2014-02-26_final
2014-03-14 10:51:07	ga_ls8c_ard_3-0-0_105078_2014-03-14_final
2014-04-17 10:36:10	ga_ls8c_ard_3-0-0_103073_2014-04-17_final
2014-04-17 10:36:34	ga_ls8c_ard_3-0-0_103074_2014-04-17_final
2014-05-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2014-05-11_final
2014-05-11 09:48:24	ga_ls8c_ard_3-0-0_095078_2014-05-11_final
2014-05-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2014-05-11_final
2014-05-16 10:05:17	ga_ls8c_ard_3-0-0_098074_2014-05-16_final
2014-05-27 09:48:20	ga_ls8c_ard_3-0-0_095078_2014-05-27_final
2014-06-03 11:33:53	ga_ls8c_ard_3-0-0_112079_2014-06-03_final
2014-06-03 11:34:17	ga_ls8c_ard_3-0-0_112080_2014-06-03_final
2014-06-17 10:05:51	ga_ls8c_ard_3-0-0_098075_2014-06-17_final
2014-06-19 11:33:35	ga_ls8c_ard_3-0-0_112078_2014-06-19_final
2014-06-19 11:33:58	ga_ls8c_ard_3-0-0_112079_2014-06-19_final
2014-06-21 11:21:37	ga_ls8c_ard_3-0-0_110079_2014-06-21_final
2014-06-28 09:48:31	ga_ls8c_ard_3-0-0_095078_2014-06-28_final
2014-06-28 11:24:37	ga_ls8c_ard_3-0-0_111071_2014-06-28_final
2014-07-05 11:33:40	ga_ls8c_ard_3-0-0_112078_2014-07-05_final
2014-07-05 11:34:04	ga_ls8c_ard_3-0-0_112079_2014-07-05_final
2014-07-06 10:34:52	ga_ls8c_ard_3-0-0_103070_2014-07-06_final
2014-07-07 09:42:51	ga_ls8c_ard_3-0-0_094079_2014-07-07_final
2014-07-21 11:33:44	ga_ls8c_ard_3-0-0_112078_2014-07-21_final
2014-07-30 09:48:44	ga_ls8c_ard_3-0-0_095078_2014-07-30_final
2014-08-06 11:33:53	ga_ls8c_ard_3-0-0_112078_2014-08-06_final
2014-08-10 11:09:11	ga_ls8c_ard_3-0-0_108078_2014-08-10_final
2014-08-11 10:12:22	ga_ls8c_ard_3-0-0_099075_2014-08-11_final
2014-08-20 10:06:13	ga_ls8c_ard_3-0-0_098075_2014-08-20_final
2014-08-21 10:51:52	ga_ls8c_ard_3-0-0_105081_2014-08-21_final
2014-08-23 10:38:19	ga_ls8c_ard_3-0-0_103078_2014-08-23_final
2014-08-26 11:09:13	ga_ls8c_ard_3-0-0_108078_2014-08-26_final
2014-08-27 10:12:24	ga_ls8c_ard_3-0-0_099075_2014-08-27_final
2014-08-31 09:46:06	ga_ls8c_ard_3-0-0_095071_2014-08-31_final
2014-08-31 09:48:29	ga_ls8c_ard_3-0-0_095077_2014-08-31_final
2014-08-31 09:49:41	ga_ls8c_ard_3-0-0_095080_2014-08-31_final
2014-09-05 10:06:16	ga_ls8c_ard_3-0-0_098075_2014-09-05_final
2014-09-06 10:51:56	ga_ls8c_ard_3-0-0_105081_2014-09-06_final
2014-09-08 10:37:11	ga_ls8c_ard_3-0-0_103075_2014-09-08_final
2014-09-11 11:09:17	ga_ls8c_ard_3-0-0_108078_2014-09-11_final
2014-09-16 09:48:32	ga_ls8c_ard_3-0-0_095077_2014-09-16_final
2014-09-22 10:51:54	ga_ls8c_ard_3-0-0_105081_2014-09-22_final
2014-10-02 09:48:58	ga_ls8c_ard_3-0-0_095078_2014-10-02_final
2014-10-02 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-10-02_final
2014-10-08 10:52:00	ga_ls8c_ard_3-0-0_105081_2014-10-08_final
2014-10-24 10:52:01	ga_ls8c_ard_3-0-0_105081_2014-10-24_final
2014-11-25 10:51:59	ga_ls8c_ard_3-0-0_105081_2014-11-25_final
2015-01-01 11:08:46	ga_ls8c_ard_3-0-0_108077_2015-01-01_final
2015-01-05 10:45:40	ga_ls8c_ard_3-0-0_104081_2015-01-05_final
2015-01-12 10:49:51	ga_ls8c_ard_3-0-0_105076_2015-01-12_final
2015-01-17 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-01-17_final
2015-01-27 10:06:53	ga_ls8c_ard_3-0-0_098077_2015-01-27_final
2015-02-06 10:41:09	ga_ls8c_ard_3-0-0_104070_2015-02-06_final
2015-02-12 10:07:58	ga_ls8c_ard_3-0-0_098080_2015-02-12_final
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-02-19 10:11:44	ga_ls8c_ard_3-0-0_099074_2015-02-19_final
2015-02-21 09:56:59	ga_ls8c_ard_3-0-0_097068_2015-02-21_final
2015-02-21 10:01:22	ga_ls8c_ard_3-0-0_097079_2015-02-21_final
2015-02-21 10:01:46	ga_ls8c_ard_3-0-0_097080_2015-02-21_final
2015-03-20 09:42:11	ga_ls8c_ard_3-0-0_094078_2015-03-20_final
2015-05-14 09:47:48	ga_ls8c_ard_3-0-0_095078_2015-05-14_final
2015-05-29 10:44:41	ga_ls8c_ard_3-0-0_104081_2015-05-29_final
2015-05-30 09:47:53	ga_ls8c_ard_3-0-0_095078_2015-05-30_final
2015-06-11 10:11:34	ga_ls8c_ard_3-0-0_099075_2015-06-11_final
2015-08-02 09:48:25	ga_ls8c_ard_3-0-0_095078_2015-08-02_final
2015-09-09 10:46:05	ga_ls8c_ard_3-0-0_105067_2015-09-09_final
2015-09-09 10:52:28	ga_ls8c_ard_3-0-0_105083_2015-09-09_final
2015-09-25 10:52:35	ga_ls8c_ard_3-0-0_105083_2015-09-25_final
2015-09-30 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-09-30_final
2016-03-04 11:31:45	ga_ls8c_ard_3-0-0_112073_2016-03-04_final
2016-06-22 10:07:54	ga_ls8c_ard_3-0-0_098080_2016-06-22_final
2016-07-25 10:52:36	ga_ls8c_ard_3-0-0_105083_2016-07-25_final
2016-11-15 11:32:12	ga_ls8c_ard_3-0-0_112073_2016-11-15_final
2017-11-06 11:09:26	ga_ls8c_ard_3-0-0_108078_2017-11-06_final
2018-12-20 12:37:20	ga_ls8c_ard_3-2-1_123067_2018-12-20_final
2019-03-23 10:32:26	ga_ls8c_ard_3-1-0_102080_2019-03-23_final
2019-12-30 11:07:23	ga_ls8c_ard_3-1-0_108073_2019-12-30_final
2020-02-21 08:10:43	ga_ls8c_ard_3-2-1_079080_2020-02-20_final
2020-04-25 08:10:14	ga_ls8c_ard_3-2-1_079080_2020-04-24_final
2021-01-10 09:24:18	ga_ls8c_ard_3-2-0_091078_2021-01-09_final
2021-01-18 10:16:04	ga_ls8c_ard_3-2-0_099084_2021-01-18_final
2021-03-24 12:31:05	ga_ls8c_ard_3-2-1_122067_2021-03-24_final
2021-05-17 08:42:01	ga_ls8c_ard_3-2-1_084082_2021-05-16_final
2022-02-13 11:57:52	ga_ls8c_ard_3-2-1_116076_2022-02-13_final
2022-11-25 08:11:16	ga_ls8c_ard_3-2-1_079080_2022-11-24_final
2023-05-11 11:31:11	ga_ls8c_ard_3-2-1_112073_2023-05-11_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