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
2013-05-13 11:49:22	ga_ls8c_ard_3-0-0_114081_2013-05-13_final
2013-05-29 11:48:41	ga_ls8c_ard_3-0-0_114079_2013-05-29_final
2013-05-31 11:38:19	ga_ls8c_ard_3-0-0_112084_2013-05-31_final
2013-06-30 11:46:35	ga_ls8c_ard_3-0-0_114074_2013-06-30_final
2013-07-09 11:42:50	ga_ls8c_ard_3-0-0_113080_2013-07-09_final
2013-07-09 11:43:14	ga_ls8c_ard_3-0-0_113081_2013-07-09_final
2013-08-10 11:43:39	ga_ls8c_ard_3-0-0_113082_2013-08-10_final
2013-09-09 11:54:25	ga_ls8c_ard_3-0-0_115078_2013-09-09_final
2013-09-18 11:43:47	ga_ls8c_ard_3-0-0_114067_2013-09-18_final
2013-11-28 11:52:25	ga_ls8c_ard_3-0-0_115074_2013-11-28_final
2014-07-28 11:38:22	ga_ls8c_ard_3-0-0_113074_2014-07-28_final
2014-10-30 11:51:22	ga_ls8c_ard_3-0-0_115075_2014-10-30_final
2014-11-26 11:34:03	ga_ls8c_ard_3-0-0_112078_2014-11-26_final
2014-12-17 11:51:43	ga_ls8c_ard_3-0-0_115076_2014-12-17_final
2015-01-29 11:36:13	ga_ls8c_ard_3-0-0_112084_2015-01-29_final
2015-02-14 11:35:15	ga_ls8c_ard_3-0-0_112082_2015-02-14_final
2015-02-28 11:44:24	ga_ls8c_ard_3-0-0_114074_2015-02-28_final
2015-05-10 11:51:28	ga_ls8c_ard_3-0-0_115078_2015-05-10_final
2015-06-06 11:33:51	ga_ls8c_ard_3-0-0_112080_2015-06-06_final
2015-08-16 11:41:45	ga_ls8c_ard_3-0-0_113083_2015-08-16_final
2015-08-25 11:34:50	ga_ls8c_ard_3-0-0_112081_2015-08-25_final
2015-10-03 11:40:51	ga_ls8c_ard_3-0-0_113080_2015-10-03_final
2015-10-12 11:36:16	ga_ls8c_ard_3-0-0_112084_2015-10-12_final
2015-11-02 11:52:07	ga_ls8c_ard_3-0-0_115077_2015-11-02_final
2015-12-15 11:32:48	ga_ls8c_ard_3-0-0_112075_2015-12-15_final
2015-12-20 11:51:45	ga_ls8c_ard_3-0-0_115076_2015-12-20_final
2016-01-23 11:38:56	ga_ls8c_ard_3-0-0_113075_2016-01-23_final
2016-03-04 11:33:45	ga_ls8c_ard_3-0-0_112078_2016-03-04_final
2016-03-25 11:51:20	ga_ls8c_ard_3-0-0_115076_2016-03-25_final
2016-04-19 11:46:11	ga_ls8c_ard_3-0-0_114079_2016-04-19_final
2016-07-26 11:35:28	ga_ls8c_ard_3-0-0_112082_2016-07-26_final
2016-07-31 11:52:01	ga_ls8c_ard_3-0-0_115077_2016-07-31_final
2016-08-11 11:35:53	ga_ls8c_ard_3-0-0_112083_2016-08-11_final
2016-12-15 11:45:18	ga_ls8c_ard_3-0-0_114075_2016-12-15_final
2017-01-23 11:51:43	ga_ls8c_ard_3-0-0_115076_2017-01-23_final
2017-02-01 11:47:04	ga_ls8c_ard_3-0-0_114080_2017-02-01_final
2017-02-19 11:29:47	ga_ls8c_ard_3-0-0_112068_2017-02-19_final
2017-04-13 11:50:41	ga_ls8c_ard_3-0-0_115075_2017-04-13_final
2017-04-15 11:41:06	ga_ls8c_ard_3-0-0_113082_2017-04-15_final
2017-04-22 11:46:24	ga_ls8c_ard_3-0-0_114080_2017-04-22_final
2017-05-03 11:28:33	ga_ls8c_ard_3-0-0_111082_2017-05-03_final
2017-06-02 11:40:51	ga_ls8c_ard_3-0-0_113081_2017-06-02_final
2017-06-09 11:47:05	ga_ls8c_ard_3-0-0_114081_2017-06-09_final
2017-08-30 11:31:58	ga_ls8c_ard_3-0-0_112073_2017-08-30_final
2017-09-15 11:31:35	ga_ls8c_ard_3-0-0_112072_2017-09-15_final
2017-10-31 11:45:19	ga_ls8c_ard_3-0-0_114075_2017-10-31_final
2018-02-13 11:41:03	ga_ls8c_ard_3-0-0_113081_2018-02-13_final
2018-02-20 11:46:00	ga_ls8c_ard_3-0-0_114078_2018-02-20_final
2018-04-18 11:41:43	ga_ls8c_ard_3-0-0_113084_2018-04-18_final
2018-05-11 11:45:41	ga_ls8c_ard_3-0-0_114079_2018-05-11_final
2018-06-14 11:34:20	ga_ls8c_ard_3-0-0_112082_2018-06-14_final
2018-06-28 11:46:27	ga_ls8c_ard_3-0-0_114081_2018-06-28_final
2018-06-30 11:34:30	ga_ls8c_ard_3-0-0_112082_2018-06-30_final
2018-07-21 11:52:00	ga_ls8c_ard_3-0-0_115079_2018-07-21_final
2018-07-23 11:34:52	ga_ls8c_ard_3-0-0_113067_2018-07-23_final
2018-07-25 11:28:06	ga_ls8c_ard_3-0-0_111081_2018-07-25_final
2018-10-04 11:29:38	ga_ls8c_ard_3-0-0_112068_2018-10-04_final
2018-10-20 11:29:44	ga_ls8c_ard_3-0-0_112068_2018-10-20_final
2018-10-25 11:51:30	ga_ls8c_ard_3-0-0_115076_2018-10-25_final
2018-11-19 11:44:34	ga_ls8c_ard_3-0-0_114074_2018-11-19_final
2018-12-05 11:46:07	ga_ls8c_ard_3-0-0_114078_2018-12-05_final
2019-01-08 11:35:19	ga_ls8c_ard_3-0-0_112082_2019-01-08_final
2019-01-29 11:50:35	ga_ls8c_ard_3-0-0_115074_2019-01-29_final
2019-03-04 11:41:18	ga_ls8c_ard_3-0-0_113082_2019-03-04_final
2019-03-20 11:40:25	ga_ls8c_ard_3-1-0_113080_2019-03-20_final
2019-03-27 11:45:23	ga_ls8c_ard_3-1-0_114077_2019-03-27_final
2019-04-05 11:41:10	ga_ls8c_ard_3-1-0_113082_2019-04-05_final
2019-06-08 11:38:37	ga_ls8c_ard_3-0-0_113075_2019-06-08_final
2019-07-01 11:46:31	ga_ls8c_ard_3-1-0_114079_2019-07-01_final
2019-08-11 11:41:21	ga_ls8c_ard_3-1-0_113081_2019-08-11_final
2019-08-11 11:41:45	ga_ls8c_ard_3-1-0_113082_2019-08-11_final
2019-08-11 11:42:33	ga_ls8c_ard_3-1-0_113084_2019-08-11_final
2019-08-16 11:57:31	ga_ls8c_ard_3-1-0_116075_2019-08-16_final
2019-08-20 11:32:01	ga_ls8c_ard_3-1-0_112073_2019-08-20_final
2019-10-14 11:38:02	ga_ls8c_ard_3-1-0_113072_2019-10-14_final
2019-11-06 11:47:48	ga_ls8c_ard_3-1-0_114081_2019-11-06_final
2019-11-29 11:52:19	ga_ls8c_ard_3-1-0_115077_2019-11-29_final
2019-12-01 11:41:34	ga_ls8c_ard_3-1-0_113081_2019-12-01_final
2019-12-08 11:46:08	ga_ls8c_ard_3-1-0_114077_2019-12-08_final
2019-12-31 11:52:14	ga_ls8c_ard_3-1-0_115077_2019-12-31_final
2020-01-18 11:39:00	ga_ls8c_ard_3-1-0_113075_2020-01-18_final
2020-03-11 11:57:17	ga_ls8c_ard_3-1-0_116075_2020-03-11_final
2020-05-18 11:31:18	ga_ls8c_ard_3-1-0_112073_2020-05-18_final
2020-06-19 11:35:08	ga_ls8c_ard_3-1-0_112082_2020-06-19_final
2020-07-14 11:29:09	ga_ls8c_ard_3-1-0_111082_2020-07-14_final
2020-08-04 11:44:59	ga_ls8c_ard_3-1-0_114075_2020-08-04_final
2020-09-07 11:35:15	ga_ls8c_ard_3-1-0_112081_2020-09-07_final
2020-09-07 11:35:39	ga_ls8c_ard_3-1-0_112082_2020-09-07_final
2020-10-07 11:45:21	ga_ls8c_ard_3-1-0_114075_2020-10-07_final
2021-04-17 10:07:49	ga_ls8c_ard_3-2-0_098080_2021-04-17_final
2023-02-14 10:29:57	ga_ls8c_ard_3-2-1_102072_2023-02-14_final
2023-02-18 11:45:38	ga_ls8c_ard_3-2-1_114076_2023-02-18_final
2023-02-19 09:15:06	ga_ls8c_ard_3-2-1_089086_2023-02-18_final
2023-02-24 11:10:49	ga_ls8c_ard_3-2-1_108082_2023-02-24_final
2023-02-25 11:52:03	ga_ls8c_ard_3-2-1_115077_2023-02-25_final
2023-02-27 11:41:18	ga_ls8c_ard_3-2-1_113081_2023-02-27_final
2023-03-05 10:59:48	ga_ls8c_ard_3-2-1_107070_2023-03-05_final
2023-03-07 10:48:36	ga_ls8c_ard_3-2-1_105073_2023-03-07_final
2023-03-07 10:51:48	ga_ls8c_ard_3-2-1_105081_2023-03-07_final
2023-03-10 11:18:41	ga_ls8c_ard_3-2-1_110071_2023-03-10_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