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
2013-05-23 10:42:28	ga_ls8c_ard_3-0-0_104068_2013-05-23_final
2013-07-08 10:57:34	ga_ls8c_ard_3-0-0_106075_2013-07-08_final
2013-09-08 11:12:45	ga_ls8c_ard_3-0-0_108082_2013-09-08_final
2013-10-15 11:31:56	ga_ls8c_ard_3-0-0_111084_2013-10-15_final
2013-11-06 10:53:56	ga_ls8c_ard_3-0-0_105082_2013-11-06_final
2013-12-04 11:13:21	ga_ls8c_ard_3-0-0_109069_2013-12-04_final
2014-04-07 11:42:11	ga_ls8c_ard_3-0-0_113083_2014-04-07_final
2014-05-09 11:37:16	ga_ls8c_ard_3-0-0_113072_2014-05-09_final
2014-05-20 11:17:49	ga_ls8c_ard_3-0-0_110070_2014-05-20_final
2014-05-20 11:23:25	ga_ls8c_ard_3-0-0_110084_2014-05-20_final
2014-06-14 11:16:37	ga_ls8c_ard_3-0-0_109082_2014-06-14_final
2014-07-02 11:01:32	ga_ls8c_ard_3-0-0_107075_2014-07-02_final
2014-07-28 11:41:33	ga_ls8c_ard_3-0-0_113082_2014-07-28_final
2014-09-29 10:55:43	ga_ls8c_ard_3-0-0_106075_2014-09-29_final
2014-12-18 10:52:55	ga_ls8c_ard_3-0-0_106068_2014-12-18_final
2015-03-23 10:14:40	ga_ls8c_ard_3-0-0_099082_2015-03-23_final
2015-04-08 10:08:54	ga_ls8c_ard_3-0-0_099068_2015-04-08_final
2015-04-19 11:30:51	ga_ls8c_ard_3-0-0_112072_2015-04-19_final
2015-06-04 10:03:42	ga_ls8c_ard_3-0-0_098071_2015-06-04_final
2015-06-25 10:22:01	ga_ls8c_ard_3-0-0_101070_2015-06-25_final
2015-08-23 10:09:30	ga_ls8c_ard_3-0-0_098084_2015-08-23_final
2015-11-15 11:20:01	ga_ls8c_ard_3-0-0_110074_2015-11-15_final
2015-11-22 11:25:26	ga_ls8c_ard_3-0-0_111072_2015-11-22_final
2016-01-29 11:05:25	ga_ls8c_ard_3-0-0_107084_2016-01-29_final
2016-03-22 11:17:41	ga_ls8c_ard_3-0-0_110069_2016-03-22_final
2016-04-28 11:35:13	ga_ls8c_ard_3-0-0_113067_2016-04-28_final
2016-08-18 09:58:27	ga_ls8c_ard_3-0-0_097071_2016-08-18_final
2016-08-29 11:17:17	ga_ls8c_ard_3-0-0_110067_2016-08-29_final
2016-10-07 11:25:58	ga_ls8c_ard_3-0-0_111073_2016-10-07_final
2016-12-27 10:29:06	ga_ls8c_ard_3-0-0_102070_2016-12-27_final
2017-01-19 10:34:23	ga_ls8c_ard_3-0-0_103068_2017-01-19_final
2017-01-30 10:17:22	ga_ls8c_ard_3-0-0_100072_2017-01-30_final
2017-08-20 10:57:39	ga_ls8c_ard_3-0-0_106080_2017-08-20_final
2017-08-20 10:58:51	ga_ls8c_ard_3-0-0_106083_2017-08-20_final
2017-10-04 10:25:44	ga_ls8c_ard_3-0-0_101077_2017-10-04_final
2017-10-23 10:55:53	ga_ls8c_ard_3-0-0_106075_2017-10-23_final
2017-12-09 10:10:52	ga_ls8c_ard_3-0-0_099071_2017-12-09_final
2018-02-13 09:56:59	ga_ls8c_ard_3-0-0_097068_2018-02-13_final
2018-02-13 10:00:35	ga_ls8c_ard_3-0-0_097077_2018-02-13_final
2018-03-01 09:57:40	ga_ls8c_ard_3-0-0_097070_2018-03-01_final
2018-04-22 11:11:46	ga_ls8c_ard_3-0-0_109071_2018-04-22_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-07-17 10:33:26	ga_ls8c_ard_3-0-0_103068_2018-07-17_final
2018-10-13 11:29:54	ga_ls8c_ard_3-0-0_111084_2018-10-13_final
2018-10-18 11:41:41	ga_ls8c_ard_3-0-0_114067_2018-10-18_final
2018-10-24 11:07:26	ga_ls8c_ard_3-0-0_108074_2018-10-24_final
2018-10-31 11:16:50	ga_ls8c_ard_3-0-0_109082_2018-10-31_final
2018-11-22 10:35:47	ga_ls8c_ard_3-0-0_103072_2018-11-22_final
2018-12-07 11:32:10	ga_ls8c_ard_3-0-0_112074_2018-12-07_final
2018-12-20 11:03:38	ga_ls8c_ard_3-0-0_107080_2018-12-20_final
2019-01-21 11:05:10	ga_ls8c_ard_3-0-0_107084_2019-01-21_final
2019-02-14 11:51:45	ga_ls8c_ard_3-0-0_115077_2019-02-14_final
2019-03-31 11:17:27	ga_ls8c_ard_3-1-0_110069_2019-03-31_final
2019-04-23 11:23:54	ga_ls8c_ard_3-0-0_111070_2019-04-23_final
2019-05-17 10:39:02	ga_ls8c_ard_3-0-0_103081_2019-05-17_final
2019-11-11 10:26:15	ga_ls8c_ard_3-1-0_101078_2019-11-11_final
2020-01-15 11:07:43	ga_ls8c_ard_3-1-0_108074_2020-01-15_final
2020-01-27 11:31:35	ga_ls8c_ard_3-1-0_112072_2020-01-27_final
2020-02-18 10:53:13	ga_ls8c_ard_3-1-0_106069_2020-02-18_final
2020-04-22 10:57:55	ga_ls8c_ard_3-1-0_106082_2020-04-22_final
2020-04-25 11:24:25	ga_ls8c_ard_3-1-0_111071_2020-04-25_final
2020-05-09 09:56:33	ga_ls8c_ard_3-1-0_097068_2020-05-09_final
2020-06-10 09:59:09	ga_ls8c_ard_3-1-0_097074_2020-06-10_final
2020-07-03 10:09:56	ga_ls8c_ard_3-1-0_098085_2020-07-03_final
2020-07-05 11:30:29	ga_ls8c_ard_3-1-0_112070_2020-07-05_final
2020-08-28 10:56:06	ga_ls8c_ard_3-1-0_106076_2020-08-28_final
2020-10-04 11:17:38	ga_ls8c_ard_3-1-0_109083_2020-10-04_final
2020-10-18 11:24:02	ga_ls8c_ard_3-1-0_111068_2020-10-18_final
2020-10-27 11:20:38	ga_ls8c_ard_3-1-0_110075_2020-10-27_final
2020-10-30 11:51:32	ga_ls8c_ard_3-1-0_115075_2020-10-30_final
2020-12-26 10:10:03	ga_ls8c_ard_3-2-0_098084_2020-12-26_final
2021-01-09 10:17:56	ga_ls8c_ard_3-2-0_100073_2021-01-09_final
2021-02-01 10:23:13	ga_ls8c_ard_3-2-0_101071_2021-02-01_final
2021-11-22 09:47:57	ga_ls8c_ard_3-2-0_095075_2021-11-22_final
2021-12-03 09:34:37	ga_ls8c_ard_3-2-0_092088_2021-12-03_final
2021-12-19 11:07:28	ga_ls8c_ard_3-2-1_108073_2021-12-19_final
2022-01-18 09:41:14	ga_ls8c_ard_3-2-1_094074_2022-01-18_final
2022-01-25 11:26:15	ga_ls8c_ard_3-2-1_111074_2022-01-25_final
2022-02-16 10:49:28	ga_ls8c_ard_3-2-1_105075_2022-02-16_final
2022-02-17 09:57:26	ga_ls8c_ard_3-2-1_096084_2022-02-17_final
2022-03-11 10:53:57	ga_ls8c_ard_3-2-1_106071_2022-03-11_final
2022-03-27 10:55:46	ga_ls8c_ard_3-2-1_106076_2022-03-27_final
2022-06-06 09:27:20	ga_ls8c_ard_3-2-1_091086_2022-06-05_final
2022-07-08 09:23:07	ga_ls8c_ard_3-2-1_091075_2022-07-07_final
2022-07-22 11:16:02	ga_ls8c_ard_3-2-1_109079_2022-07-22_final
2022-07-24 11:02:30	ga_ls8c_ard_3-2-1_107076_2022-07-24_final
2022-07-30 10:25:53	ga_ls8c_ard_3-2-1_101077_2022-07-30_final
2022-08-12 09:52:42	ga_ls8c_ard_3-2-1_096071_2022-08-12_final
2022-08-12 11:32:46	ga_ls8c_ard_3-2-1_112074_2022-08-12_final
2022-08-17 11:51:44	ga_ls8c_ard_3-2-1_115075_2022-08-17_final
2022-09-02 10:09:39	ga_ls8c_ard_3-2-1_099067_2022-09-02_final
2022-09-04 11:40:59	ga_ls8c_ard_3-2-1_113079_2022-09-04_final
2022-09-15 11:18:56	ga_ls8c_ard_3-2-1_110070_2022-09-15_final
2022-09-26 11:02:01	ga_ls8c_ard_3-2-1_107074_2022-09-26_final
2022-10-04 10:10:33	ga_ls8c_ard_3-2-1_099069_2022-10-04_final
2022-10-15 09:55:05	ga_ls8c_ard_3-2-1_096077_2022-10-15_final
2022-10-19 09:29:37	ga_ls8c_ard_3-2-1_092075_2022-10-18_final
2023-02-20 09:57:33	ga_ls8c_ard_3-2-1_096084_2023-02-20_final
2023-02-26 09:20:45	ga_ls8c_ard_3-2-1_090085_2023-02-25_final
2023-03-11 10:24:40	ga_ls8c_ard_3-2-1_101075_2023-03-11_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