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
2013-04-29 11:36:02	ga_ls8c_ard_3-0-0_112079_2013-04-29_final
2013-05-04 11:54:37	ga_ls8c_ard_3-0-0_115079_2013-05-04_final
2013-05-31 11:36:19	ga_ls8c_ard_3-0-0_112079_2013-05-31_final
2013-06-07 11:42:04	ga_ls8c_ard_3-0-0_113078_2013-06-07_final
2013-06-30 11:48:11	ga_ls8c_ard_3-0-0_114078_2013-06-30_final
2013-07-02 11:36:14	ga_ls8c_ard_3-0-0_112079_2013-07-02_final
2013-07-09 11:40:50	ga_ls8c_ard_3-0-0_113075_2013-07-09_final
2013-08-03 11:36:16	ga_ls8c_ard_3-0-0_112079_2013-08-03_final
2013-08-10 11:42:03	ga_ls8c_ard_3-0-0_113078_2013-08-10_final
2013-08-19 11:36:17	ga_ls8c_ard_3-0-0_112079_2013-08-19_final
2014-04-07 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-04-07_final
2014-04-07 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-04-07_final
2014-06-01 11:44:38	ga_ls8c_ard_3-0-0_114075_2014-06-01_final
2014-06-01 11:47:01	ga_ls8c_ard_3-0-0_114081_2014-06-01_final
2014-06-19 11:33:58	ga_ls8c_ard_3-0-0_112079_2014-06-19_final
2014-07-19 11:47:18	ga_ls8c_ard_3-0-0_114081_2014-07-19_final
2014-07-21 11:34:08	ga_ls8c_ard_3-0-0_112079_2014-07-21_final
2014-08-06 11:34:17	ga_ls8c_ard_3-0-0_112079_2014-08-06_final
2014-08-13 11:40:30	ga_ls8c_ard_3-0-0_113079_2014-08-13_final
2014-09-14 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-09-14_final
2014-09-14 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-09-14_final
2014-09-30 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-09-30_final
2014-09-30 11:40:35	ga_ls8c_ard_3-0-0_113079_2014-09-30_final
2014-10-16 11:40:40	ga_ls8c_ard_3-0-0_113079_2014-10-16_final
2015-02-28 11:47:12	ga_ls8c_ard_3-0-0_114081_2015-02-28_final
2015-04-15 11:57:10	ga_ls8c_ard_3-0-0_116076_2015-04-15_final
2015-05-10 11:51:52	ga_ls8c_ard_3-0-0_115079_2015-05-10_final
2015-07-08 11:33:44	ga_ls8c_ard_3-0-0_112079_2015-07-08_final
2015-09-15 11:53:08	ga_ls8c_ard_3-0-0_115080_2015-09-15_final
2016-01-12 11:57:28	ga_ls8c_ard_3-0-0_116075_2016-01-12_final
2016-01-12 11:57:52	ga_ls8c_ard_3-0-0_116076_2016-01-12_final
2016-01-23 11:39:44	ga_ls8c_ard_3-0-0_113077_2016-01-23_final
2016-01-28 11:57:27	ga_ls8c_ard_3-0-0_116075_2016-01-28_final
2016-01-28 11:57:51	ga_ls8c_ard_3-0-0_116076_2016-01-28_final
2016-07-26 11:34:16	ga_ls8c_ard_3-0-0_112079_2016-07-26_final
2016-09-10 11:46:03	ga_ls8c_ard_3-0-0_114077_2016-09-10_final
2016-09-24 11:58:25	ga_ls8c_ard_3-0-0_116077_2016-09-24_final
2017-04-20 11:57:11	ga_ls8c_ard_3-0-0_116076_2017-04-20_final
2017-06-27 11:33:37	ga_ls8c_ard_3-0-0_112078_2017-06-27_final
2017-06-27 11:34:01	ga_ls8c_ard_3-0-0_112079_2017-06-27_final
2017-07-13 11:34:04	ga_ls8c_ard_3-0-0_112079_2017-07-13_final
2017-08-30 11:33:58	ga_ls8c_ard_3-0-0_112078_2017-08-30_final
2017-09-06 11:40:33	ga_ls8c_ard_3-0-0_113079_2017-09-06_final
2017-10-29 11:57:41	ga_ls8c_ard_3-0-0_116075_2017-10-29_final
2018-05-29 11:32:41	ga_ls8c_ard_3-0-0_112078_2018-05-29_final
2018-06-14 11:32:44	ga_ls8c_ard_3-0-0_112078_2018-06-14_final
2018-08-01 11:33:09	ga_ls8c_ard_3-0-0_112078_2018-08-01_final
2018-09-14 11:57:48	ga_ls8c_ard_3-0-0_116077_2018-09-14_final
2020-12-22 10:33:59	ga_ls8c_ard_3-2-0_102082_2020-12-22_final
2021-02-06 10:45:44	ga_ls8c_ard_3-2-0_104081_2021-02-06_final
2021-02-09 09:35:45	ga_ls8c_ard_3-2-0_093076_2021-02-09_final
2021-05-30 09:48:31	ga_ls8c_ard_3-2-0_095078_2021-05-30_final
2021-06-13 10:02:11	ga_ls8c_ard_3-2-0_097081_2021-06-13_final
2021-06-15 09:48:14	ga_ls8c_ard_3-2-0_095077_2021-06-15_final
2021-06-22 11:31:20	ga_ls8c_ard_3-2-0_112072_2021-06-22_final
2021-06-28 10:55:52	ga_ls8c_ard_3-2-0_106076_2021-06-28_final
2021-07-05 11:04:27	ga_ls8c_ard_3-2-0_107082_2021-07-05_final
2021-07-17 09:48:43	ga_ls8c_ard_3-2-0_095078_2021-07-17_final
2021-07-27 10:22:42	ga_ls8c_ard_3-2-0_101070_2021-07-27_final
2021-08-04 11:12:12	ga_ls8c_ard_3-2-0_109070_2021-08-04_final
2021-08-18 09:48:33	ga_ls8c_ard_3-2-0_095077_2021-08-18_final
2021-08-18 09:48:57	ga_ls8c_ard_3-2-0_095078_2021-08-18_final
2021-08-29 11:09:21	ga_ls8c_ard_3-2-0_108078_2021-08-29_final
2021-09-03 09:49:02	ga_ls8c_ard_3-2-0_095078_2021-09-03_final
2021-09-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2021-09-19_final
2021-10-05 09:49:11	ga_ls8c_ard_3-2-0_095078_2021-10-05_final
2021-11-06 08:11:07	ga_ls8c_ard_3-2-1_079080_2021-11-05_final
2021-11-23 10:34:00	ga_ls8c_ard_3-2-0_102082_2021-11-23_final
2022-01-04 11:09:23	ga_ls8c_ard_3-2-1_108078_2022-01-04_final
2022-01-10 10:33:06	ga_ls8c_ard_3-2-1_102080_2022-01-10_final
2022-01-23 11:37:49	ga_ls8c_ard_3-2-1_113072_2022-01-23_final
2022-03-11 09:17:52	ga_ls8c_ard_3-2-1_090078_2022-03-10_final
2022-04-12 12:31:06	ga_ls8c_ard_3-2-1_122067_2022-04-12_final
2022-05-08 09:53:39	ga_ls8c_ard_3-2-1_096075_2022-05-08_final
2022-05-21 11:05:18	ga_ls8c_ard_3-2-1_107084_2022-05-21_final
2022-07-09 11:47:40	ga_ls8c_ard_3-2-1_114081_2022-07-09_final
2022-07-24 09:29:12	ga_ls8c_ard_3-2-1_091090_2022-07-23_final
2022-08-08 11:58:40	ga_ls8c_ard_3-2-1_116077_2022-08-08_final
2022-09-01 11:09:40	ga_ls8c_ard_3-2-1_108078_2022-09-01_final
2022-10-24 09:51:00	ga_ls8c_ard_3-2-1_095082_2022-10-24_final
2022-10-30 09:16:21	ga_ls8c_ard_3-2-1_089088_2022-10-29_final
2022-11-04 09:35:17	ga_ls8c_ard_3-2-1_092089_2022-11-04_final
2022-12-14 10:19:24	ga_ls8c_ard_3-2-1_100076_2022-12-14_final
2023-03-30 10:57:47	ga_ls8c_ard_3-2-1_106081_2023-03-30_final
2023-05-04 09:47:50	ga_ls8c_ard_3-2-1_095077_2023-05-04_final
2023-05-20 09:47:40	ga_ls8c_ard_3-2-1_095077_2023-05-20_final
2023-07-20 10:58:28	ga_ls8c_ard_3-2-1_106083_2023-07-20_final
2023-08-08 09:48:15	ga_ls8c_ard_3-2-1_095077_2023-08-08_final
2023-08-08 09:48:39	ga_ls8c_ard_3-2-1_095078_2023-08-08_final
2023-08-15 09:55:17	ga_ls8c_ard_3-2-1_096079_2023-08-15_final
2023-08-21 09:23:04	ga_ls8c_ard_3-2-1_090091_2023-08-20_final
2023-08-24 09:48:23	ga_ls8c_ard_3-2-1_095077_2023-08-24_final
2023-09-22 12:31:20	ga_ls8c_ard_3-2-1_122067_2023-09-22_final
2023-10-04 09:42:44	ga_ls8c_ard_3-2-1_094078_2023-10-04_final
2023-10-04 09:43:08	ga_ls8c_ard_3-2-1_094079_2023-10-04_final
2023-10-22 09:35:13	ga_ls8c_ard_3-2-1_092090_2023-10-22_final
2024-01-17 09:36:09	ga_ls8c_ard_3-2-1_093077_2024-01-17_final
2024-02-04 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-02-04_final
2024-03-08 11:47:17	ga_ls8c_ard_3-2-1_114081_2024-03-08_final
2024-03-26 09:53:01	ga_ls8c_ard_3-2-1_096074_2024-03-26_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