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
2013-05-20 11:54:01	ga_ls8c_ard_3-0-0_115077_2013-05-20_final
2013-08-24 11:53:15	ga_ls8c_ard_3-0-0_115075_2013-08-24_final
2013-09-22 11:21:49	ga_ls8c_ard_3-0-0_110074_2013-09-22_final
2013-10-12 10:55:28	ga_ls8c_ard_3-0-0_106070_2013-10-12_final
2013-11-24 10:38:14	ga_ls8c_ard_3-0-0_103074_2013-11-24_final
2013-12-22 11:01:37	ga_ls8c_ard_3-0-0_107071_2013-12-22_final
2014-01-11 10:37:05	ga_ls8c_ard_3-0-0_103072_2014-01-11_final
2014-06-20 10:33:58	ga_ls8c_ard_3-0-0_103068_2014-06-20_final
2014-09-16 11:24:38	ga_ls8c_ard_3-0-0_111070_2014-09-16_final
2014-11-28 11:19:18	ga_ls8c_ard_3-0-0_110072_2014-11-28_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-07-24 11:29:04	ga_ls8c_ard_3-0-0_112067_2015-07-24_final
2015-10-16 11:05:57	ga_ls8c_ard_3-0-0_108070_2015-10-16_final
2015-10-23 11:12:12	ga_ls8c_ard_3-0-0_109070_2015-10-23_final
2016-04-13 10:42:25	ga_ls8c_ard_3-0-0_104074_2016-04-13_final
2016-04-14 11:25:17	ga_ls8c_ard_3-0-0_111073_2016-04-14_final
2016-07-19 11:26:51	ga_ls8c_ard_3-0-0_111076_2016-07-19_final
2016-08-29 11:18:05	ga_ls8c_ard_3-0-0_110069_2016-08-29_final
2016-09-14 11:17:21	ga_ls8c_ard_3-0-0_110067_2016-09-14_final
2016-09-16 11:11:22	ga_ls8c_ard_3-0-0_108083_2016-09-16_final
2017-01-08 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-01-08_final
2017-01-17 10:46:46	ga_ls8c_ard_3-0-0_105068_2017-01-17_final
2017-03-24 10:39:27	ga_ls8c_ard_3-0-0_103082_2017-03-24_final
2017-05-30 11:05:32	ga_ls8c_ard_3-0-0_108070_2017-05-30_final
2017-11-01 10:47:18	ga_ls8c_ard_3-0-0_105069_2017-11-01_final
2017-11-10 10:40:42	ga_ls8c_ard_3-0-0_104068_2017-11-10_final
2018-03-03 11:22:59	ga_ls8c_ard_3-0-0_111067_2018-03-03_final
2018-04-28 10:36:38	ga_ls8c_ard_3-0-0_103076_2018-04-28_final
2018-06-05 11:37:13	ga_ls8c_ard_3-0-0_113074_2018-06-05_final
2018-07-18 11:23:05	ga_ls8c_ard_3-0-0_110084_2018-07-18_final
2018-10-09 10:08:32	ga_ls8c_ard_3-2-1_099066_2018-10-09_final
2018-11-07 11:23:49	ga_ls8c_ard_3-0-0_110084_2018-11-07_final
2019-02-26 10:33:57	ga_ls8c_ard_3-0-0_103068_2019-02-26_final
2019-03-04 11:35:19	ga_ls8c_ard_3-0-0_113067_2019-03-04_final
2019-03-04 11:37:19	ga_ls8c_ard_3-0-0_113072_2019-03-04_final
2019-03-25 11:58:09	ga_ls8c_ard_3-1-0_116078_2019-03-25_final
2019-08-03 10:49:28	ga_ls8c_ard_3-1-0_105075_2019-08-03_final
2019-09-26 10:09:04	ga_ls8c_ard_3-2-1_099066_2019-09-26_final
2019-12-14 09:33:45	ga_ls8c_ard_3-2-0_092086_2019-12-14_final
2020-05-24 10:53:02	ga_ls8c_ard_3-1-0_106070_2020-05-24_final
2020-07-28 11:38:23	ga_ls8c_ard_3-1-0_113074_2020-07-28_final
2020-08-21 10:52:16	ga_ls8c_ard_3-1-0_105082_2020-08-21_final
2020-10-21 11:58:07	ga_ls8c_ard_3-1-0_116076_2020-10-21_final
2021-01-12 10:49:12	ga_ls8c_ard_3-2-0_105074_2021-01-12_final
2021-01-18 10:14:04	ga_ls8c_ard_3-2-0_099079_2021-01-18_final
2021-01-22 09:47:21	ga_ls8c_ard_3-2-0_095074_2021-01-22_final
2021-01-27 10:07:05	ga_ls8c_ard_3-2-0_098077_2021-01-27_final
2021-03-15 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-03-14_final
2021-03-17 10:47:14	ga_ls8c_ard_3-2-0_105070_2021-03-17_final
2021-03-28 10:33:03	ga_ls8c_ard_3-2-0_102081_2021-03-28_final
2021-04-10 11:40:58	ga_ls8c_ard_3-2-0_113081_2021-04-10_final
2021-04-18 10:49:28	ga_ls8c_ard_3-2-0_105076_2021-04-18_final
2021-05-17 10:21:42	ga_ls8c_ard_3-2-0_100084_2021-05-17_final
2021-05-25 11:07:14	ga_ls8c_ard_3-2-0_108074_2021-05-25_final
2021-05-26 10:09:13	ga_ls8c_ard_3-2-0_099068_2021-05-26_final
2021-10-06 10:29:15	ga_ls8c_ard_3-2-0_102070_2021-10-06_final
2021-11-03 10:56:00	ga_ls8c_ard_3-2-0_106075_2021-11-03_final
2021-12-03 09:28:14	ga_ls8c_ard_3-2-0_092072_2021-12-02_final
2021-12-06 10:01:55	ga_ls8c_ard_3-2-1_097079_2021-12-06_final
2021-12-06 10:02:43	ga_ls8c_ard_3-2-1_097081_2021-12-06_final
2021-12-07 09:07:30	ga_ls8c_ard_3-2-1_088082_2021-12-06_final
2021-12-21 10:53:07	ga_ls8c_ard_3-2-1_106068_2021-12-21_final
2021-12-29 11:47:41	ga_ls8c_ard_3-2-1_114081_2021-12-29_final
2022-01-27 09:36:59	ga_ls8c_ard_3-2-1_093079_2022-01-27_final
2022-05-12 11:10:39	ga_ls8c_ard_3-2-1_108082_2022-05-12_final
2022-05-14 09:16:37	ga_ls8c_ard_3-2-1_090075_2022-05-13_final
2022-05-23 10:49:21	ga_ls8c_ard_3-2-1_105075_2022-05-23_final
2022-06-23 10:03:58	ga_ls8c_ard_3-2-1_098069_2022-06-23_final
2022-07-20 11:25:10	ga_ls8c_ard_3-2-1_111071_2022-07-20_final
2022-07-22 11:16:02	ga_ls8c_ard_3-2-1_109079_2022-07-22_final
2022-07-28 10:38:13	ga_ls8c_ard_3-2-1_103077_2022-07-28_final
2022-09-06 11:25:03	ga_ls8c_ard_3-2-1_111070_2022-09-06_final
2022-10-04 10:09:45	ga_ls8c_ard_3-2-1_099067_2022-10-04_final
2022-10-07 10:41:01	ga_ls8c_ard_3-2-1_104068_2022-10-07_final
2022-11-02 09:40:28	ga_ls8c_ard_3-2-1_094071_2022-11-02_final
2022-11-04 09:32:06	ga_ls8c_ard_3-2-1_092081_2022-11-04_final
2022-11-15 10:48:45	ga_ls8c_ard_3-2-1_105072_2022-11-15_final
2022-12-15 09:22:34	ga_ls8c_ard_3-2-1_091073_2022-12-14_final
2023-01-10 09:57:33	ga_ls8c_ard_3-2-1_097068_2023-01-10_final
2023-01-26 11:38:01	ga_ls8c_ard_3-2-1_113072_2023-01-26_final
2023-02-10 09:22:13	ga_ls8c_ard_3-2-1_090088_2023-02-09_final
2023-02-13 11:26:22	ga_ls8c_ard_3-2-1_111074_2023-02-13_final
2023-02-19 10:47:12	ga_ls8c_ard_3-2-1_105069_2023-02-19_final
2023-03-23 09:11:10	ga_ls8c_ard_3-2-1_089077_2023-03-22_final
2023-03-26 09:40:03	ga_ls8c_ard_3-2-1_094072_2023-03-26_final
2023-03-26 09:40:51	ga_ls8c_ard_3-2-1_094074_2023-03-26_final
2023-03-26 11:20:56	ga_ls8c_ard_3-2-1_110077_2023-03-26_final
2023-04-21 10:21:36	ga_ls8c_ard_3-2-1_100084_2023-04-21_final
2023-05-17 09:15:57	ga_ls8c_ard_3-2-1_090075_2023-05-16_final
2023-06-07 11:13:07	ga_ls8c_ard_3-2-1_109074_2023-06-07_final
2023-07-05 10:00:49	ga_ls8c_ard_3-2-1_097078_2023-07-05_final
2023-07-18 09:27:34	ga_ls8c_ard_3-2-1_092072_2023-07-17_final
2023-11-09 10:54:55	ga_ls8c_ard_3-2-1_106073_2023-11-09_final
2023-12-04 09:14:15	ga_ls8c_ard_3-2-1_089084_2023-12-03_final
2023-12-08 10:23:11	ga_ls8c_ard_3-2-1_101071_2023-12-08_final
2023-12-18 11:00:23	ga_ls8c_ard_3-2-1_107071_2023-12-18_final
2023-12-28 10:04:08	ga_ls8c_ard_3-2-1_097085_2023-12-28_final
2024-01-03 11:01:28	ga_ls8c_ard_3-2-1_107074_2024-01-03_final
2024-01-05 10:49:04	ga_ls8c_ard_3-2-1_105074_2024-01-05_final
2024-02-17 10:33:43	ga_ls8c_ard_3-2-1_102082_2024-02-17_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