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
2013-04-18 10:14:56	ga_ls8c_ard_3-0-0_099077_2013-04-18_final
2013-06-02 11:23:57	ga_ls8c_ard_3-0-0_110079_2013-06-02_final
2013-06-09 11:26:31	ga_ls8c_ard_3-0-0_111070_2013-06-09_final
2013-06-21 10:15:02	ga_ls8c_ard_3-0-0_099077_2013-06-21_final
2013-07-23 10:15:05	ga_ls8c_ard_3-0-0_099077_2013-07-23_final
2013-08-28 11:26:08	ga_ls8c_ard_3-0-0_111069_2013-08-28_final
2013-12-07 11:43:27	ga_ls8c_ard_3-0-0_114067_2013-12-07_final
2014-01-08 11:43:08	ga_ls8c_ard_3-0-0_114067_2014-01-08_final
2014-01-10 09:51:51	ga_ls8c_ard_3-0-0_096067_2014-01-10_final
2014-01-10 11:32:44	ga_ls8c_ard_3-0-0_112072_2014-01-10_final
2014-03-20 10:09:34	ga_ls8c_ard_3-0-0_099067_2014-03-20_final
2014-04-05 10:13:42	ga_ls8c_ard_3-0-0_099078_2014-04-05_final
2014-10-11 09:46:25	ga_ls8c_ard_3-0-0_094087_2014-10-11_final
2015-01-11 10:05:00	ga_ls8c_ard_3-0-0_098072_2015-01-11_final
2015-01-18 10:10:44	ga_ls8c_ard_3-0-0_099071_2015-01-18_final
2015-02-07 09:44:19	ga_ls8c_ard_3-0-0_095067_2015-02-07_final
2015-04-15 10:18:41	ga_ls8c_ard_3-0-0_100077_2015-04-15_final
2015-12-24 11:25:49	ga_ls8c_ard_3-0-0_111073_2015-12-24_final
2016-01-05 10:10:24	ga_ls8c_ard_3-0-0_099070_2016-01-05_final
2016-01-12 10:17:23	ga_ls8c_ard_3-0-0_100072_2016-01-12_final
2016-12-18 10:34:30	ga_ls8c_ard_3-0-0_103068_2016-12-18_final
2017-01-16 11:46:47	ga_ls8c_ard_3-0-0_114079_2017-01-16_final
2017-02-22 10:27:47	ga_ls8c_ard_3-0-0_101083_2017-02-22_final
2017-03-07 11:31:16	ga_ls8c_ard_3-0-0_112072_2017-03-07_final
2017-03-28 11:51:36	ga_ls8c_ard_3-0-0_115077_2017-03-28_final
2017-06-04 11:24:07	ga_ls8c_ard_3-0-0_111070_2017-06-04_final
2017-06-16 10:13:14	ga_ls8c_ard_3-0-0_099078_2017-06-16_final
2017-06-27 09:50:21	ga_ls8c_ard_3-0-0_096067_2017-06-27_final
2017-07-18 10:13:46	ga_ls8c_ard_3-0-0_099079_2017-07-18_final
2017-09-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2017-09-10_final
2017-09-18 10:28:01	ga_ls8c_ard_3-0-0_101083_2017-09-18_final
2017-11-12 10:30:20	ga_ls8c_ard_3-0-0_102073_2017-11-12_final
2017-12-04 09:57:55	ga_ls8c_ard_3-0-0_096085_2017-12-04_final
2017-12-06 09:39:58	ga_ls8c_ard_3-0-0_094071_2017-12-06_final
2018-02-27 10:12:50	ga_ls8c_ard_3-0-0_099077_2018-02-27_final
2018-06-19 11:50:08	ga_ls8c_ard_3-0-0_115075_2018-06-19_final
2018-08-12 11:13:56	ga_ls8c_ard_3-0-0_109076_2018-08-12_final
2018-08-28 11:13:15	ga_ls8c_ard_3-1-0_109074_2018-08-28_final
2018-08-28 11:13:39	ga_ls8c_ard_3-1-0_109075_2018-08-28_final
2018-11-23 09:40:09	ga_ls8c_ard_3-0-0_094072_2018-11-23_final
2019-01-19 11:14:21	ga_ls8c_ard_3-0-0_109076_2019-01-19_final
2019-04-28 10:06:44	ga_ls8c_ard_3-0-0_098078_2019-04-28_final
2019-05-09 11:24:00	ga_ls8c_ard_3-0-0_111070_2019-05-09_final
2019-05-15 10:48:34	ga_ls8c_ard_3-0-0_105074_2019-05-15_final
2019-06-19 11:20:09	ga_ls8c_ard_3-1-0_110075_2019-06-19_final
2019-07-05 09:40:08	ga_ls8c_ard_3-1-0_094072_2019-07-05_final
2019-08-10 10:55:41	ga_ls8c_ard_3-1-0_106075_2019-08-10_final
2019-11-12 11:08:18	ga_ls8c_ard_3-1-0_108075_2019-11-12_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2019-12-05 11:14:26	ga_ls8c_ard_3-1-0_109075_2019-12-05_final
2020-01-16 10:13:17	ga_ls8c_ard_3-1-0_099077_2020-01-16_final
2020-02-10 10:04:36	ga_ls8c_ard_3-1-0_098071_2020-02-10_final
2020-04-05 10:09:35	ga_ls8c_ard_3-1-0_099069_2020-04-05_final
2020-04-17 10:39:25	ga_ls8c_ard_3-1-0_103082_2020-04-17_final
2020-06-30 11:14:18	ga_ls8c_ard_3-1-0_109076_2020-06-30_final
2020-07-01 10:19:29	ga_ls8c_ard_3-1-0_100078_2020-07-01_final
2020-07-21 11:31:22	ga_ls8c_ard_3-1-0_112072_2020-07-21_final
2020-08-12 09:19:52	ga_ls8c_ard_3-1-0_090083_2020-08-11_final
2020-09-24 10:40:07	ga_ls8c_ard_3-1-0_103082_2020-09-24_final
2020-12-10 10:04:54	ga_ls8c_ard_3-1-0_098071_2020-12-10_final
2020-12-30 11:18:12	ga_ls8c_ard_3-2-0_110069_2020-12-30_final
2021-01-28 09:10:15	ga_ls8c_ard_3-2-0_089074_2021-01-27_final
2021-02-18 11:08:00	ga_ls8c_ard_3-2-0_108075_2021-02-18_final
2021-04-09 10:55:19	ga_ls8c_ard_3-2-0_106075_2021-04-09_final
2021-04-18 10:49:28	ga_ls8c_ard_3-2-0_105076_2021-04-18_final
2021-04-22 10:27:30	ga_ls8c_ard_3-2-0_101083_2021-04-22_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-06-08 11:20:06	ga_ls8c_ard_3-2-0_110075_2021-06-08_final
2021-07-14 09:19:48	ga_ls8c_ard_3-2-0_090083_2021-07-13_final
2021-08-31 09:22:31	ga_ls8c_ard_3-2-0_090089_2021-08-30_final
2021-09-29 10:27:49	ga_ls8c_ard_3-2-0_101082_2021-09-29_final
2021-11-05 10:46:26	ga_ls8c_ard_3-2-0_104082_2021-11-05_final
2021-11-15 09:40:10	ga_ls8c_ard_3-2-0_094071_2021-11-15_final
2021-12-04 10:09:06	ga_ls8c_ard_3-2-1_099066_2021-12-04_final
2022-01-31 09:10:39	ga_ls8c_ard_3-2-1_089075_2022-01-30_final
2022-02-18 10:39:29	ga_ls8c_ard_3-2-1_103081_2022-02-18_final
2022-03-18 11:00:04	ga_ls8c_ard_3-2-1_107071_2022-03-18_final
2022-04-11 10:10:33	ga_ls8c_ard_3-2-1_099071_2022-04-11_final
2022-09-24 09:34:42	ga_ls8c_ard_3-2-1_093072_2022-09-24_final
2022-09-26 09:28:43	ga_ls8c_ard_3-2-1_091088_2022-09-25_final
2022-10-05 09:18:06	ga_ls8c_ard_3-2-1_090077_2022-10-04_final
2022-10-15 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-10-15_final
2023-01-03 09:52:12	ga_ls8c_ard_3-2-1_096070_2023-01-03_final
2023-01-05 11:19:07	ga_ls8c_ard_3-2-1_110071_2023-01-05_final
2023-02-20 09:52:45	ga_ls8c_ard_3-2-1_096072_2023-02-20_final
2023-02-25 10:13:34	ga_ls8c_ard_3-2-1_099078_2023-02-25_final
2023-04-29 09:33:44	ga_ls8c_ard_3-2-1_092088_2023-04-29_final
2023-05-07 10:21:05	ga_ls8c_ard_3-2-1_100083_2023-05-07_final
2023-06-21 11:28:21	ga_ls8c_ard_3-2-1_111081_2023-06-21_final
2023-07-09 11:14:12	ga_ls8c_ard_3-2-1_109076_2023-07-09_final
2023-08-03 09:28:31	ga_ls8c_ard_3-2-1_092074_2023-08-02_final
2023-08-20 10:10:18	ga_ls8c_ard_3-2-1_099070_2023-08-20_final
2023-10-02 11:35:35	ga_ls8c_ard_3-2-1_112082_2023-10-02_final
2023-10-11 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-10-11_final
2023-10-23 10:14:05	ga_ls8c_ard_3-2-1_099079_2023-10-23_final
2023-10-28 10:33:28	ga_ls8c_ard_3-2-1_102081_2023-10-28_final
2023-11-05 09:40:25	ga_ls8c_ard_3-2-1_094072_2023-11-05_final
2024-02-11 11:07:39	ga_ls8c_ard_3-2-1_108074_2024-02-11_final
2024-03-16 09:19:42	ga_ls8c_ard_3-2-1_090083_2024-03-15_final
2024-03-28 09:39:49	ga_ls8c_ard_3-2-1_094072_2024-03-28_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