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
2013-03-26 09:35:18	ga_ls8c_ard_3-0-0_093072_2013-03-26_final
2013-07-21 10:27:26	ga_ls8c_ard_3-0-0_101077_2013-07-21_final
2013-08-30 09:41:17	ga_ls8c_ard_3-0-0_093085_2013-08-30_final
2013-09-22 11:25:01	ga_ls8c_ard_3-0-0_110082_2013-09-22_final
2013-09-26 10:56:15	ga_ls8c_ard_3-0-0_106072_2013-09-26_final
2013-10-19 11:05:11	ga_ls8c_ard_3-0-0_107079_2013-10-19_final
2014-01-28 11:18:13	ga_ls8c_ard_3-0-0_110067_2014-01-28_final
2014-05-28 10:27:37	ga_ls8c_ard_3-0-0_102068_2014-05-28_final
2014-08-16 10:32:55	ga_ls8c_ard_3-0-0_102080_2014-08-16_final
2014-09-01 10:30:10	ga_ls8c_ard_3-0-0_102073_2014-09-01_final
2014-11-12 09:40:27	ga_ls8c_ard_3-0-0_094072_2014-11-12_final
2014-12-10 10:03:51	ga_ls8c_ard_3-0-0_098069_2014-12-10_final
2015-01-22 09:45:34	ga_ls8c_ard_3-0-0_095070_2015-01-22_final
2015-02-05 09:57:54	ga_ls8c_ard_3-0-0_097070_2015-02-05_final
2015-06-08 11:19:07	ga_ls8c_ard_3-0-0_110074_2015-06-08_final
2015-06-19 11:04:40	ga_ls8c_ard_3-0-0_107084_2015-06-19_final
2015-08-26 10:38:01	ga_ls8c_ard_3-0-0_103078_2015-08-26_final
2015-10-21 09:50:27	ga_ls8c_ard_3-0-0_095082_2015-10-21_final
2015-11-10 11:03:52	ga_ls8c_ard_3-0-0_107080_2015-11-10_final
2015-11-27 10:04:42	ga_ls8c_ard_3-0-0_098071_2015-11-27_final
2015-12-01 09:39:58	ga_ls8c_ard_3-0-0_094071_2015-12-01_final
2015-12-13 10:03:52	ga_ls8c_ard_3-0-0_098069_2015-12-13_final
2016-04-10 10:10:44	ga_ls8c_ard_3-0-0_099072_2016-04-10_final
2016-06-15 10:02:03	ga_ls8c_ard_3-0-0_097081_2016-06-15_final
2016-08-25 11:41:59	ga_ls8c_ard_3-0-0_114067_2016-08-25_final
2016-10-18 11:11:28	ga_ls8c_ard_3-0-0_108083_2016-10-18_final
2016-10-28 10:10:05	ga_ls8c_ard_3-0-0_098084_2016-10-28_final
2016-10-31 10:38:59	ga_ls8c_ard_3-0-0_103079_2016-10-31_final
2016-12-22 10:11:22	ga_ls8c_ard_3-0-0_099072_2016-12-22_final
2016-12-24 09:57:24	ga_ls8c_ard_3-0-0_097068_2016-12-24_final
2017-01-23 11:52:55	ga_ls8c_ard_3-0-0_115079_2017-01-23_final
2017-07-03 10:52:34	ga_ls8c_ard_3-0-0_106068_2017-07-03_final
2017-08-23 11:30:09	ga_ls8c_ard_3-0-0_111084_2017-08-23_final
2017-09-14 10:47:07	ga_ls8c_ard_3-0-0_105069_2017-09-14_final
2017-10-22 11:52:18	ga_ls8c_ard_3-0-0_115077_2017-10-22_final
2017-10-26 11:23:36	ga_ls8c_ard_3-0-0_111067_2017-10-26_final
2017-10-26 11:29:59	ga_ls8c_ard_3-0-0_111083_2017-10-26_final
2017-11-18 11:34:29	ga_ls8c_ard_3-0-0_112079_2017-11-18_final
2018-03-17 11:41:11	ga_ls8c_ard_3-0-0_113082_2018-03-17_final
2018-03-31 11:50:40	ga_ls8c_ard_3-0-0_115075_2018-03-31_final
2018-06-07 11:22:05	ga_ls8c_ard_3-0-0_111067_2018-06-07_final
2018-07-31 10:49:05	ga_ls8c_ard_3-0-0_105076_2018-07-31_final
2018-08-20 10:24:57	ga_ls8c_ard_3-0-0_101077_2018-08-20_final
2018-08-31 10:03:42	ga_ls8c_ard_3-0-0_098070_2018-08-31_final
2018-11-06 10:35:46	ga_ls8c_ard_3-0-0_103072_2018-11-06_final
2018-12-24 10:39:19	ga_ls8c_ard_3-0-0_103081_2018-12-24_final
2019-02-02 11:25:27	ga_ls8c_ard_3-0-0_111073_2019-02-02_final
2019-02-14 10:10:52	ga_ls8c_ard_3-0-0_099072_2019-02-14_final
2019-04-12 10:06:49	ga_ls8c_ard_3-1-0_098078_2019-04-12_final
2019-05-27 09:34:32	ga_ls8c_ard_3-0-0_093074_2019-05-27_final
2019-06-22 11:51:04	ga_ls8c_ard_3-1-0_115075_2019-06-22_final
2019-08-15 11:17:51	ga_ls8c_ard_3-1-0_109084_2019-08-15_final
2019-08-18 10:03:30	ga_ls8c_ard_3-1-0_098068_2019-08-18_final
2019-08-25 11:50:59	ga_ls8c_ard_3-1-0_115074_2019-08-25_final
2019-09-06 10:34:28	ga_ls8c_ard_3-1-0_103068_2019-09-06_final
2019-09-06 10:36:03	ga_ls8c_ard_3-1-0_103072_2019-09-06_final
2019-10-11 11:07:32	ga_ls8c_ard_3-1-0_108073_2019-10-11_final
2020-01-04 11:25:30	ga_ls8c_ard_3-1-0_111072_2020-01-04_final
2020-05-18 11:29:42	ga_ls8c_ard_3-1-0_112069_2020-05-18_final
2020-05-28 10:28:19	ga_ls8c_ard_3-1-0_102070_2020-05-28_final
2020-07-21 09:57:40	ga_ls8c_ard_3-1-0_096085_2020-07-21_final
2020-09-12 10:14:33	ga_ls8c_ard_3-1-0_099080_2020-09-12_final
2020-12-18 10:54:43	ga_ls8c_ard_3-2-0_106072_2020-12-18_final
2021-01-19 09:17:14	ga_ls8c_ard_3-2-0_090076_2021-01-18_final
2021-02-08 10:28:11	ga_ls8c_ard_3-2-0_102068_2021-02-08_final
2021-02-26 10:17:19	ga_ls8c_ard_3-2-0_100072_2021-02-26_final
2021-06-01 11:17:04	ga_ls8c_ard_3-2-0_109083_2021-06-01_final
2021-09-05 09:35:29	ga_ls8c_ard_3-2-0_093075_2021-09-05_final
2021-09-26 11:35:47	ga_ls8c_ard_3-2-0_112082_2021-09-26_final
2021-11-18 10:09:51	ga_ls8c_ard_3-2-0_099068_2021-11-18_final
2021-12-28 09:27:56	ga_ls8c_ard_3-2-1_091087_2021-12-27_final
2022-01-01 10:36:05	ga_ls8c_ard_3-2-1_103072_2022-01-01_final
2022-03-06 10:39:26	ga_ls8c_ard_3-2-1_103081_2022-03-06_final
2022-03-19 11:45:43	ga_ls8c_ard_3-2-1_114077_2022-03-19_final
2022-05-19 09:34:23	ga_ls8c_ard_3-2-1_093073_2022-05-19_final
2022-06-18 11:23:53	ga_ls8c_ard_3-2-1_111068_2022-06-18_final
2022-07-06 11:13:58	ga_ls8c_ard_3-2-1_109074_2022-07-06_final
2022-07-10 09:13:33	ga_ls8c_ard_3-2-1_089082_2022-07-09_final
2022-07-20 11:24:46	ga_ls8c_ard_3-2-1_111070_2022-07-20_final
2022-12-08 10:56:08	ga_ls8c_ard_3-2-1_106075_2022-12-08_final
2023-01-08 10:15:31	ga_ls8c_ard_3-2-1_099082_2023-01-08_final
2023-01-08 11:52:48	ga_ls8c_ard_3-2-1_115078_2023-01-08_final
2023-02-09 11:52:21	ga_ls8c_ard_3-2-1_115077_2023-02-09_final
2023-03-09 10:35:49	ga_ls8c_ard_3-2-1_103072_2023-03-09_final
2023-03-22 10:09:36	ga_ls8c_ard_3-2-1_098084_2023-03-22_final
2023-04-02 11:28:38	ga_ls8c_ard_3-2-1_111081_2023-04-02_final
2023-04-08 09:14:09	ga_ls8c_ard_3-2-1_089085_2023-04-07_final
2023-04-09 09:57:23	ga_ls8c_ard_3-2-1_096085_2023-04-09_final
2023-05-04 11:25:08	ga_ls8c_ard_3-2-1_111073_2023-05-04_final
2023-05-15 11:07:13	ga_ls8c_ard_3-2-1_108075_2023-05-15_final
2023-06-04 09:06:52	ga_ls8c_ard_3-2-1_088083_2023-06-03_final
2023-06-14 09:39:41	ga_ls8c_ard_3-2-1_094072_2023-06-14_final
2023-07-13 09:10:13	ga_ls8c_ard_3-2-1_089075_2023-07-12_final
2023-08-17 11:17:51	ga_ls8c_ard_3-2-1_110069_2023-08-17_final
2023-10-16 11:47:35	ga_ls8c_ard_3-2-1_114081_2023-10-16_final
2023-11-16 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-11-15_final
2023-11-30 09:39:27	ga_ls8c_ard_3-2-1_093085_2023-11-30_final
2023-12-11 09:22:02	ga_ls8c_ard_3-2-1_090088_2023-12-10_final
2023-12-20 10:49:13	ga_ls8c_ard_3-2-1_105074_2023-12-20_final
2024-01-03 11:01:52	ga_ls8c_ard_3-2-1_107075_2024-01-03_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