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
2013-07-20 11:19:04	ga_ls8c_ard_3-0-0_110067_2013-07-20_final
2013-07-27 11:26:52	ga_ls8c_ard_3-0-0_111071_2013-07-27_final
2013-10-08 11:21:00	ga_ls8c_ard_3-0-0_110072_2013-10-08_final
2013-11-12 11:54:08	ga_ls8c_ard_3-0-0_115078_2013-11-12_final
2014-01-31 11:52:41	ga_ls8c_ard_3-0-0_115076_2014-01-31_final
2014-03-08 11:25:51	ga_ls8c_ard_3-0-0_111072_2014-03-08_final
2014-05-11 11:22:53	ga_ls8c_ard_3-0-0_111067_2014-05-11_final
2014-07-28 11:41:57	ga_ls8c_ard_3-0-0_113083_2014-07-28_final
2014-07-30 11:29:37	ga_ls8c_ard_3-0-0_111083_2014-07-30_final
2014-10-02 11:25:27	ga_ls8c_ard_3-0-0_111072_2014-10-02_final
2014-12-14 11:18:00	ga_ls8c_ard_3-0-0_110069_2014-12-14_final
2015-01-06 11:23:44	ga_ls8c_ard_3-0-0_111068_2015-01-06_final
2015-01-27 11:44:35	ga_ls8c_ard_3-0-0_114074_2015-01-27_final
2015-05-23 11:18:58	ga_ls8c_ard_3-0-0_110074_2015-05-23_final
2015-06-22 11:29:59	ga_ls8c_ard_3-0-0_112070_2015-06-22_final
2015-06-29 11:41:49	ga_ls8c_ard_3-0-0_113084_2015-06-29_final
2015-08-11 11:18:23	ga_ls8c_ard_3-0-0_110071_2015-08-11_final
2015-10-12 11:29:53	ga_ls8c_ard_3-0-0_112068_2015-10-12_final
2015-12-01 11:19:15	ga_ls8c_ard_3-0-0_110072_2015-12-01_final
2016-02-01 11:31:31	ga_ls8c_ard_3-0-0_112072_2016-02-01_final
2016-02-08 11:38:27	ga_ls8c_ard_3-0-0_113074_2016-02-08_final
2016-02-19 11:19:00	ga_ls8c_ard_3-0-0_110072_2016-02-19_final
2016-02-22 11:52:18	ga_ls8c_ard_3-0-0_115078_2016-02-22_final
2016-05-09 11:23:28	ga_ls8c_ard_3-0-0_110084_2016-05-09_final
2016-05-14 11:35:12	ga_ls8c_ard_3-0-0_113067_2016-05-14_final
2016-05-23 11:31:53	ga_ls8c_ard_3-0-0_112074_2016-05-23_final
2016-05-25 11:18:44	ga_ls8c_ard_3-0-0_110072_2016-05-25_final
2016-07-19 11:24:04	ga_ls8c_ard_3-0-0_111069_2016-07-19_final
2016-09-05 11:24:42	ga_ls8c_ard_3-0-0_111070_2016-09-05_final
2016-10-12 11:42:09	ga_ls8c_ard_3-0-0_114067_2016-10-12_final
2016-12-03 11:19:26	ga_ls8c_ard_3-0-0_110072_2016-12-03_final
2016-12-22 11:53:02	ga_ls8c_ard_3-0-0_115079_2016-12-22_final
2017-02-05 11:23:30	ga_ls8c_ard_3-0-0_110083_2017-02-05_final
2017-02-21 11:23:48	ga_ls8c_ard_3-0-0_110084_2017-02-21_final
2017-04-06 11:46:57	ga_ls8c_ard_3-0-0_114081_2017-04-06_final
2017-04-26 11:19:14	ga_ls8c_ard_3-0-0_110074_2017-04-26_final
2017-05-28 11:22:40	ga_ls8c_ard_3-0-0_110082_2017-05-28_final
2017-07-02 11:50:59	ga_ls8c_ard_3-0-0_115075_2017-07-02_final
2017-08-21 11:35:44	ga_ls8c_ard_3-0-0_113067_2017-08-21_final
2017-08-23 11:23:46	ga_ls8c_ard_3-0-0_111068_2017-08-23_final
2017-09-17 11:19:14	ga_ls8c_ard_3-0-0_110072_2017-09-17_final
2017-11-02 11:30:58	ga_ls8c_ard_3-0-0_112070_2017-11-02_final
2017-12-13 11:23:51	ga_ls8c_ard_3-0-0_111068_2017-12-13_final
2018-04-04 11:25:30	ga_ls8c_ard_3-0-0_111074_2018-04-04_final
2018-07-16 11:35:02	ga_ls8c_ard_3-0-0_112083_2018-07-16_final
2018-09-11 11:24:06	ga_ls8c_ard_3-0-0_111070_2018-09-11_final
2018-10-06 11:18:05	ga_ls8c_ard_3-0-0_110070_2018-10-06_final
2018-10-06 11:19:41	ga_ls8c_ard_3-0-0_110074_2018-10-06_final
2018-10-22 11:18:35	ga_ls8c_ard_3-0-0_110071_2018-10-22_final
2018-11-10 11:51:32	ga_ls8c_ard_3-0-0_115076_2018-11-10_final
2018-11-23 11:23:26	ga_ls8c_ard_3-0-0_110083_2018-11-23_final
2018-11-26 11:52:20	ga_ls8c_ard_3-0-0_115078_2018-11-26_final
2018-11-30 11:24:48	ga_ls8c_ard_3-0-0_111071_2018-11-30_final
2018-12-09 11:19:00	ga_ls8c_ard_3-0-0_110072_2018-12-09_final
2019-02-09 11:32:01	ga_ls8c_ard_3-0-0_112074_2019-02-09_final
2019-02-23 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-02-23_final
2019-04-07 11:22:48	ga_ls8c_ard_3-1-0_111067_2019-04-07_final
2019-05-18 11:17:31	ga_ls8c_ard_3-0-0_110069_2019-05-18_final
2019-06-06 11:52:10	ga_ls8c_ard_3-0-0_115078_2019-06-06_final
2019-06-24 11:35:32	ga_ls8c_ard_3-1-0_113067_2019-06-24_final
2019-06-26 11:25:34	ga_ls8c_ard_3-1-0_111073_2019-06-26_final
2019-07-10 11:38:23	ga_ls8c_ard_3-1-0_113074_2019-07-10_final
2019-08-06 11:19:11	ga_ls8c_ard_3-1-0_110072_2019-08-06_final
2019-09-14 11:25:33	ga_ls8c_ard_3-1-0_111072_2019-09-14_final
2019-10-09 11:24:16	ga_ls8c_ard_3-1-0_110084_2019-10-09_final
2019-10-16 11:23:41	ga_ls8c_ard_3-1-0_111067_2019-10-16_final
2019-11-10 11:20:40	ga_ls8c_ard_3-1-0_110075_2019-11-10_final
2019-11-29 11:52:43	ga_ls8c_ard_3-1-0_115078_2019-11-29_final
2020-02-10 11:44:40	ga_ls8c_ard_3-1-0_114074_2020-02-10_final
2020-02-14 11:19:09	ga_ls8c_ard_3-1-0_110072_2020-02-14_final
2020-02-17 11:51:38	ga_ls8c_ard_3-1-0_115076_2020-02-17_final
2020-02-28 11:35:02	ga_ls8c_ard_3-1-0_112081_2020-02-28_final
2020-03-06 11:38:22	ga_ls8c_ard_3-1-0_113074_2020-03-06_final
2020-03-24 11:23:28	ga_ls8c_ard_3-1-0_111068_2020-03-24_final
2020-07-28 11:41:58	ga_ls8c_ard_3-1-0_113083_2020-07-28_final
2020-09-14 11:42:41	ga_ls8c_ard_3-1-0_113084_2020-09-14_final
2020-09-21 11:47:18	ga_ls8c_ard_3-1-0_114080_2020-09-21_final
2020-10-14 11:52:44	ga_ls8c_ard_3-1-0_115078_2020-10-14_final
2020-11-28 11:19:27	ga_ls8c_ard_3-1-0_110072_2020-11-28_final
2020-12-01 11:51:57	ga_ls8c_ard_3-1-0_115076_2020-12-01_final
2021-05-02 09:28:24	ga_ls8c_ard_3-2-0_091090_2021-05-01_final
2023-05-02 11:41:54	ga_ls8c_ard_3-2-1_113084_2023-05-02_final
2023-09-20 09:33:07	ga_ls8c_ard_3-2-1_092085_2023-09-20_final
2023-09-21 11:52:52	ga_ls8c_ard_3-2-1_115079_2023-09-21_final
2023-10-07 10:11:15	ga_ls8c_ard_3-2-1_099072_2023-10-07_final
2023-10-11 11:25:51	ga_ls8c_ard_3-2-1_111073_2023-10-11_final
2023-10-25 09:58:10	ga_ls8c_ard_3-2-1_097070_2023-10-25_final
2023-10-30 10:22:19	ga_ls8c_ard_3-2-1_100084_2023-10-30_final
2023-11-09 10:54:55	ga_ls8c_ard_3-2-1_106073_2023-11-09_final
2023-11-28 09:50:38	ga_ls8c_ard_3-2-1_095082_2023-11-28_final
2023-12-07 09:41:06	ga_ls8c_ard_3-2-1_094074_2023-12-07_final
2023-12-08 10:23:11	ga_ls8c_ard_3-2-1_101071_2023-12-08_final
2023-12-15 10:29:03	ga_ls8c_ard_3-2-1_102070_2023-12-15_final
2023-12-16 09:40:14	ga_ls8c_ard_3-2-1_093087_2023-12-16_final
2023-12-27 10:54:11	ga_ls8c_ard_3-2-1_106071_2023-12-27_final
2023-12-28 09:58:57	ga_ls8c_ard_3-2-1_097072_2023-12-28_final
2024-01-06 09:57:27	ga_ls8c_ard_3-2-1_096084_2024-01-06_final
2024-01-12 09:23:13	ga_ls8c_ard_3-2-1_090091_2024-01-11_final
2024-02-16 11:28:56	ga_ls8c_ard_3-2-1_111081_2024-02-16_final
2024-02-28 10:10:44	ga_ls8c_ard_3-2-1_099071_2024-02-28_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