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
2013-04-05 11:06:39	ga_ls8c_ard_3-0-0_108075_2013-04-05_final
2013-08-21 11:19:09	ga_ls8c_ard_3-0-0_110067_2013-08-21_final
2014-05-07 11:50:50	ga_ls8c_ard_3-0-0_115075_2014-05-07_final
2014-05-13 11:13:42	ga_ls8c_ard_3-0-0_109075_2014-05-13_final
2014-07-30 11:23:14	ga_ls8c_ard_3-0-0_111067_2014-07-30_final
2015-03-06 11:05:40	ga_ls8c_ard_3-0-0_108070_2015-03-06_final
2015-05-17 11:57:36	ga_ls8c_ard_3-0-0_116078_2015-05-17_final
2015-08-16 11:35:22	ga_ls8c_ard_3-0-0_113067_2015-08-16_final
2015-08-18 11:23:02	ga_ls8c_ard_3-0-0_111067_2015-08-18_final
2015-10-21 11:26:08	ga_ls8c_ard_3-0-0_111074_2015-10-21_final
2016-02-17 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-02-17_final
2016-04-27 10:55:07	ga_ls8c_ard_3-0-0_106075_2016-04-27_final
2016-06-12 11:08:02	ga_ls8c_ard_3-0-0_108076_2016-06-12_final
2016-06-17 11:24:59	ga_ls8c_ard_3-0-0_111072_2016-06-17_final
2016-08-29 11:18:05	ga_ls8c_ard_3-0-0_110069_2016-08-29_final
2017-08-27 11:01:27	ga_ls8c_ard_3-0-0_107074_2017-08-27_final
2017-10-21 11:11:50	ga_ls8c_ard_3-0-0_108084_2017-10-21_final
2017-11-06 11:07:50	ga_ls8c_ard_3-0-0_108074_2017-11-06_final
2017-12-08 11:07:17	ga_ls8c_ard_3-0-0_108073_2017-12-08_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-05-10 11:00:26	ga_ls8c_ard_3-0-0_107074_2018-05-10_final
2018-06-20 10:54:56	ga_ls8c_ard_3-0-0_106076_2018-06-20_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-08-06 11:50:33	ga_ls8c_ard_3-0-0_115075_2018-08-06_final
2018-10-15 11:13:10	ga_ls8c_ard_3-0-0_109073_2018-10-15_final
2018-10-18 11:41:41	ga_ls8c_ard_3-0-0_114067_2018-10-18_final
2018-10-29 11:25:35	ga_ls8c_ard_3-0-0_111073_2018-10-29_final
2018-11-14 11:25:37	ga_ls8c_ard_3-0-0_111073_2018-11-14_final
2019-03-10 11:00:59	ga_ls8c_ard_3-1-0_107074_2019-03-10_final
2019-04-30 11:35:16	ga_ls8c_ard_3-0-0_112083_2019-04-30_final
2019-10-16 11:26:29	ga_ls8c_ard_3-1-0_111074_2019-10-16_final
2019-11-10 11:20:40	ga_ls8c_ard_3-1-0_110075_2019-11-10_final
2019-12-14 09:28:58	ga_ls8c_ard_3-2-0_092074_2019-12-13_final
2019-12-15 10:09:26	ga_ls8c_ard_3-2-0_099067_2019-12-15_final
2019-12-17 10:00:39	ga_ls8c_ard_3-2-0_097076_2019-12-17_final
2019-12-19 09:45:53	ga_ls8c_ard_3-2-0_095070_2019-12-19_final
2020-01-11 11:31:39	ga_ls8c_ard_3-1-0_112072_2020-01-11_final
2020-04-18 11:18:41	ga_ls8c_ard_3-1-0_110072_2020-04-18_final
2020-04-20 11:07:06	ga_ls8c_ard_3-1-0_108074_2020-04-20_final
2020-07-19 11:45:43	ga_ls8c_ard_3-1-0_114077_2020-07-19_final
2020-08-03 11:04:07	ga_ls8c_ard_3-1-0_107081_2020-08-03_final
2020-11-17 11:38:44	ga_ls8c_ard_3-1-0_113074_2020-11-17_final
2020-12-12 09:52:56	ga_ls8c_ard_3-1-0_096072_2020-12-12_final
2020-12-13 10:39:23	ga_ls8c_ard_3-1-0_103080_2020-12-13_final
2020-12-28 09:58:28	ga_ls8c_ard_3-2-0_096086_2020-12-28_final
2021-01-03 10:53:27	ga_ls8c_ard_3-2-0_106069_2021-01-03_final
2021-01-14 10:36:02	ga_ls8c_ard_3-2-0_103072_2021-01-14_final
2021-03-21 10:27:41	ga_ls8c_ard_3-2-0_101083_2021-03-21_final
2021-04-10 10:01:17	ga_ls8c_ard_3-2-0_097079_2021-04-10_final
2021-05-23 11:19:10	ga_ls8c_ard_3-2-0_110073_2021-05-23_final
2021-06-22 09:53:15	ga_ls8c_ard_3-2-0_096074_2021-06-22_final
2021-07-04 10:16:48	ga_ls8c_ard_3-2-0_100071_2021-07-04_final
2021-07-05 09:26:46	ga_ls8c_ard_3-2-0_091085_2021-07-04_final
2021-07-18 10:31:12	ga_ls8c_ard_3-2-0_102076_2021-07-18_final
2021-07-19 11:14:52	ga_ls8c_ard_3-2-0_109077_2021-07-19_final
2021-09-08 11:45:17	ga_ls8c_ard_3-2-0_114075_2021-09-08_final
2021-09-08 11:47:41	ga_ls8c_ard_3-2-0_114081_2021-09-08_final
2021-09-24 10:08:26	ga_ls8c_ard_3-2-0_098080_2021-09-24_final
2021-10-19 09:57:36	ga_ls8c_ard_3-2-0_097068_2021-10-19_final
2021-10-26 10:10:10	ga_ls8c_ard_3-2-0_098084_2021-10-26_final
2021-11-03 10:54:24	ga_ls8c_ard_3-2-0_106071_2021-11-03_final
2021-11-14 10:34:36	ga_ls8c_ard_3-2-0_103068_2021-11-14_final
2021-11-20 10:04:17	ga_ls8c_ard_3-2-0_097085_2021-11-20_final
2021-12-04 10:15:53	ga_ls8c_ard_3-2-0_099083_2021-12-04_final
2022-01-04 09:28:07	ga_ls8c_ard_3-2-1_092072_2022-01-03_final
2022-01-12 10:22:19	ga_ls8c_ard_3-2-1_100084_2022-01-12_final
2022-02-12 09:40:32	ga_ls8c_ard_3-2-1_093088_2022-02-12_final
2022-02-28 11:14:33	ga_ls8c_ard_3-2-1_109076_2022-02-28_final
2022-03-18 11:05:15	ga_ls8c_ard_3-2-1_107084_2022-03-18_final
2022-04-21 09:11:08	ga_ls8c_ard_3-2-1_089077_2022-04-20_final
2022-04-24 11:19:18	ga_ls8c_ard_3-2-1_110073_2022-04-24_final
2022-05-29 10:15:51	ga_ls8c_ard_3-2-1_099084_2022-05-29_final
2022-06-07 10:07:01	ga_ls8c_ard_3-2-1_098077_2022-06-07_final
2022-06-11 11:19:38	ga_ls8c_ard_3-2-1_110073_2022-06-11_final
2022-07-03 10:42:40	ga_ls8c_ard_3-2-1_104073_2022-07-03_final
2022-07-16 10:15:44	ga_ls8c_ard_3-2-1_099083_2022-07-16_final
2022-08-16 11:08:04	ga_ls8c_ard_3-2-1_108074_2022-08-16_final
2022-08-21 11:24:14	ga_ls8c_ard_3-2-1_111068_2022-08-21_final
2022-08-23 09:38:10	ga_ls8c_ard_3-2-1_093081_2022-08-23_final
2022-09-08 09:35:25	ga_ls8c_ard_3-2-1_093074_2022-09-08_final
2022-09-13 11:36:05	ga_ls8c_ard_3-2-1_112082_2022-09-13_final
2022-11-02 11:18:57	ga_ls8c_ard_3-2-1_110070_2022-11-02_final
2022-11-09 11:25:54	ga_ls8c_ard_3-2-1_111072_2022-11-09_final
2022-11-22 09:22:26	ga_ls8c_ard_3-2-1_090088_2022-11-21_final
2022-12-27 11:25:41	ga_ls8c_ard_3-2-1_111072_2022-12-27_final
2023-01-07 11:05:57	ga_ls8c_ard_3-2-1_108069_2023-01-07_final
2023-01-18 09:13:11	ga_ls8c_ard_3-2-1_089081_2023-01-17_final
2023-02-18 10:03:34	ga_ls8c_ard_3-2-1_098068_2023-02-18_final
2023-02-25 10:14:22	ga_ls8c_ard_3-2-1_099080_2023-02-25_final
2023-02-28 09:06:47	ga_ls8c_ard_3-2-1_088081_2023-02-27_final
2023-04-06 09:26:33	ga_ls8c_ard_3-2-1_091085_2023-04-05_final
2023-05-20 09:51:40	ga_ls8c_ard_3-2-1_095087_2023-05-20_final
2023-05-23 10:21:23	ga_ls8c_ard_3-2-1_100084_2023-05-23_final
2023-05-29 11:18:49	ga_ls8c_ard_3-2-1_110073_2023-05-29_final
2023-06-10 10:06:22	ga_ls8c_ard_3-2-1_098077_2023-06-10_final
2023-08-09 10:27:56	ga_ls8c_ard_3-2-1_102068_2023-08-09_final
2023-09-29 09:21:48	ga_ls8c_ard_3-2-1_091072_2023-09-28_final
2023-09-29 09:23:24	ga_ls8c_ard_3-2-1_091076_2023-09-28_final
2023-11-18 09:12:44	ga_ls8c_ard_3-2-1_089080_2023-11-17_final
2023-12-02 09:23:52	ga_ls8c_ard_3-2-1_091077_2023-12-01_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