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
2013-06-09 11:27:42	ga_ls8c_ard_3-0-0_111073_2013-06-09_final
2013-12-22 11:06:49	ga_ls8c_ard_3-0-0_107084_2013-12-22_final
2014-01-21 11:14:52	ga_ls8c_ard_3-0-0_109074_2014-01-21_final
2014-02-04 11:26:43	ga_ls8c_ard_3-0-0_111073_2014-02-04_final
2014-07-20 10:48:53	ga_ls8c_ard_3-0-0_105074_2014-07-20_final
2015-03-18 11:35:27	ga_ls8c_ard_3-0-0_112083_2015-03-18_final
2015-06-24 09:39:33	ga_ls8c_ard_3-0-0_094072_2015-06-24_final
2015-08-18 09:45:44	ga_ls8c_ard_3-0-0_095071_2015-08-18_final
2015-08-31 10:53:24	ga_ls8c_ard_3-0-0_106070_2015-08-31_final
2015-09-19 09:52:21	ga_ls8c_ard_3-0-0_095087_2015-09-19_final
2015-09-19 11:24:03	ga_ls8c_ard_3-0-0_111069_2015-09-19_final
2016-02-10 09:44:24	ga_ls8c_ard_3-0-0_095067_2016-02-10_final
2016-03-04 11:33:45	ga_ls8c_ard_3-0-0_112078_2016-03-04_final
2016-04-13 09:06:44	ga_ls8c_ard_3-0-0_088082_2016-04-12_final
2016-07-01 11:35:30	ga_ls8c_ard_3-0-0_113067_2016-07-01_final
2016-08-06 11:13:45	ga_ls8c_ard_3-0-0_109074_2016-08-06_final
2016-09-11 10:49:37	ga_ls8c_ard_3-0-0_105075_2016-09-11_final
2016-09-26 11:42:04	ga_ls8c_ard_3-0-0_114067_2016-09-26_final
2016-10-16 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-10-16_final
2016-12-10 09:48:18	ga_ls8c_ard_3-0-0_095076_2016-12-10_final
2017-02-05 11:19:07	ga_ls8c_ard_3-0-0_110072_2017-02-05_final
2017-08-09 11:16:56	ga_ls8c_ard_3-0-0_109082_2017-08-09_final
2017-08-20 10:58:51	ga_ls8c_ard_3-0-0_106083_2017-08-20_final
2017-09-15 11:29:59	ga_ls8c_ard_3-0-0_112068_2017-09-15_final
2017-10-21 11:05:51	ga_ls8c_ard_3-0-0_108069_2017-10-21_final
2018-01-05 11:32:24	ga_ls8c_ard_3-0-0_112074_2018-01-05_final
2018-03-05 11:11:24	ga_ls8c_ard_3-0-0_109069_2018-03-05_final
2018-04-17 10:52:53	ga_ls8c_ard_3-0-0_106070_2018-04-17_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-05-22 09:45:44	ga_ls8c_ard_3-0-0_095073_2018-05-22_final
2018-06-09 11:13:20	ga_ls8c_ard_3-0-0_109076_2018-06-09_final
2018-06-25 11:13:31	ga_ls8c_ard_3-0-0_109076_2018-06-25_final
2018-08-30 11:02:54	ga_ls8c_ard_3-0-0_107079_2018-08-30_final
2018-11-27 12:31:12	ga_ls8c_ard_3-2-1_122067_2018-11-27_final
2018-12-07 11:29:22	ga_ls8c_ard_3-0-0_112067_2018-12-07_final
2019-01-19 11:13:57	ga_ls8c_ard_3-0-0_109075_2019-01-19_final
2019-01-23 10:49:12	ga_ls8c_ard_3-0-0_105075_2019-01-23_final
2019-05-07 11:41:31	ga_ls8c_ard_3-0-0_113083_2019-05-07_final
2019-05-09 11:25:11	ga_ls8c_ard_3-0-0_111073_2019-05-09_final
2019-05-23 11:41:17	ga_ls8c_ard_3-0-0_113082_2019-05-23_final
2019-10-07 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-10-07_final
2020-01-29 11:18:01	ga_ls8c_ard_3-1-0_110069_2020-01-29_final
2020-03-08 11:24:00	ga_ls8c_ard_3-1-0_111069_2020-03-08_final
2020-03-12 11:01:15	ga_ls8c_ard_3-1-0_107074_2020-03-12_final
2020-03-30 10:48:19	ga_ls8c_ard_3-1-0_105073_2020-03-30_final
2020-05-18 11:31:42	ga_ls8c_ard_3-1-0_112074_2020-05-18_final
2020-11-21 11:14:02	ga_ls8c_ard_3-1-0_109074_2020-11-21_final
2020-11-25 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-11-25_final
2020-11-28 11:19:51	ga_ls8c_ard_3-1-0_110073_2020-11-28_final
2021-03-06 09:33:47	ga_ls8c_ard_3-2-0_092087_2021-03-06_final
2021-03-22 11:05:46	ga_ls8c_ard_3-2-0_108070_2021-03-22_final
2021-03-27 11:27:29	ga_ls8c_ard_3-2-0_111078_2021-03-27_final
2021-03-28 10:30:39	ga_ls8c_ard_3-2-0_102075_2021-03-28_final
2021-04-01 11:47:12	ga_ls8c_ard_3-2-0_114081_2021-04-01_final
2021-04-24 10:15:08	ga_ls8c_ard_3-2-0_099083_2021-04-24_final
2021-04-25 10:55:35	ga_ls8c_ard_3-2-0_106076_2021-04-25_final
2021-05-31 10:32:36	ga_ls8c_ard_3-2-0_102080_2021-05-31_final
2021-06-03 11:01:07	ga_ls8c_ard_3-2-0_107074_2021-06-03_final
2021-06-27 10:09:25	ga_ls8c_ard_3-2-0_099068_2021-06-27_final
2021-08-02 09:47:40	ga_ls8c_ard_3-2-0_095075_2021-08-02_final
2021-08-16 09:58:31	ga_ls8c_ard_3-2-0_097071_2021-08-16_final
2021-09-04 10:33:54	ga_ls8c_ard_3-2-0_102082_2021-09-04_final
2021-09-26 11:29:48	ga_ls8c_ard_3-2-0_112067_2021-09-26_final
2021-12-19 11:07:28	ga_ls8c_ard_3-2-1_108073_2021-12-19_final
2021-12-21 10:53:07	ga_ls8c_ard_3-2-1_106068_2021-12-21_final
2022-01-07 10:03:24	ga_ls8c_ard_3-2-1_097083_2022-01-07_final
2022-01-18 09:40:50	ga_ls8c_ard_3-2-1_094073_2022-01-18_final
2022-01-31 10:47:33	ga_ls8c_ard_3-2-1_105070_2022-01-31_final
2022-02-18 10:34:18	ga_ls8c_ard_3-2-1_103068_2022-02-18_final
2022-04-12 10:55:24	ga_ls8c_ard_3-2-1_106075_2022-04-12_final
2022-05-09 10:35:44	ga_ls8c_ard_3-2-1_103072_2022-05-09_final
2022-06-21 10:22:18	ga_ls8c_ard_3-2-1_100084_2022-06-21_final
2022-07-01 10:59:01	ga_ls8c_ard_3-2-1_106083_2022-07-01_final
2022-07-07 10:17:33	ga_ls8c_ard_3-2-1_100072_2022-07-07_final
2022-07-13 09:40:03	ga_ls8c_ard_3-2-1_094071_2022-07-13_final
2022-07-28 10:38:13	ga_ls8c_ard_3-2-1_103077_2022-07-28_final
2022-08-23 11:18:15	ga_ls8c_ard_3-2-1_109084_2022-08-23_final
2022-08-26 11:47:33	ga_ls8c_ard_3-2-1_114080_2022-08-26_final
2022-09-11 10:03:33	ga_ls8c_ard_3-2-1_098067_2022-09-11_final
2022-10-13 11:46:43	ga_ls8c_ard_3-2-1_114078_2022-10-13_final
2022-10-14 10:50:18	ga_ls8c_ard_3-2-1_105076_2022-10-14_final
2022-11-09 11:25:06	ga_ls8c_ard_3-2-1_111070_2022-11-09_final
2022-12-06 09:34:48	ga_ls8c_ard_3-2-1_092088_2022-12-06_final
2022-12-27 11:30:29	ga_ls8c_ard_3-2-1_111084_2022-12-27_final
2023-01-26 09:58:20	ga_ls8c_ard_3-2-1_097070_2023-01-26_final
2023-01-30 11:14:06	ga_ls8c_ard_3-2-1_109074_2023-01-30_final
2023-02-11 11:42:21	ga_ls8c_ard_3-2-1_113083_2023-02-11_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-06-10 11:44:03	ga_ls8c_ard_3-2-1_114074_2023-06-10_final
2023-07-11 12:37:09	ga_ls8c_ard_3-2-1_123067_2023-07-11_final
2023-08-05 09:21:21	ga_ls8c_ard_3-2-1_090087_2023-08-04_final
2023-08-30 10:49:24	ga_ls8c_ard_3-2-1_105075_2023-08-30_final
2023-09-20 11:08:01	ga_ls8c_ard_3-2-1_108075_2023-09-20_final
2023-10-05 10:27:59	ga_ls8c_ard_3-2-1_101083_2023-10-05_final
2023-10-15 09:23:27	ga_ls8c_ard_3-2-1_091076_2023-10-14_final
2023-10-28 10:30:17	ga_ls8c_ard_3-2-1_102073_2023-10-28_final
2023-11-16 11:00:22	ga_ls8c_ard_3-2-1_107071_2023-11-16_final
2023-12-22 10:36:04	ga_ls8c_ard_3-2-1_103072_2023-12-22_final
2024-01-05 09:13:47	ga_ls8c_ard_3-2-1_089083_2024-01-04_final
2024-01-05 10:49:04	ga_ls8c_ard_3-2-1_105074_2024-01-05_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