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
2013-08-05 11:22:19	ga_ls8c_ard_3-0-0_110075_2013-08-05_final
2014-02-09 11:47:10	ga_ls8c_ard_3-0-0_114078_2014-02-09_final
2014-05-25 11:41:57	ga_ls8c_ard_3-0-0_113084_2014-05-25_final
2014-07-11 10:52:15	ga_ls8c_ard_3-0-0_106067_2014-07-11_final
2014-10-15 10:53:01	ga_ls8c_ard_3-0-0_106068_2014-10-15_final
2014-10-27 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-10-27_final
2014-11-12 11:18:32	ga_ls8c_ard_3-0-0_110070_2014-11-12_final
2015-02-14 11:29:16	ga_ls8c_ard_3-0-0_112067_2015-02-14_final
2015-05-02 11:02:10	ga_ls8c_ard_3-0-0_107078_2015-05-02_final
2015-05-07 11:19:25	ga_ls8c_ard_3-0-0_110075_2015-05-07_final
2015-05-26 11:49:52	ga_ls8c_ard_3-0-0_115074_2015-05-26_final
2015-05-30 11:26:22	ga_ls8c_ard_3-0-0_111077_2015-05-30_final
2015-06-24 11:17:38	ga_ls8c_ard_3-0-0_110070_2015-06-24_final
2015-07-03 11:13:56	ga_ls8c_ard_3-0-0_109076_2015-07-03_final
2016-02-08 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-02-08_final
2016-02-21 11:07:26	ga_ls8c_ard_3-0-0_108074_2016-02-21_final
2016-03-09 11:51:52	ga_ls8c_ard_3-0-0_115077_2016-03-09_final
2016-04-10 11:52:25	ga_ls8c_ard_3-0-0_115079_2016-04-10_final
2016-05-16 11:23:39	ga_ls8c_ard_3-0-0_111069_2016-05-16_final
2016-07-01 11:42:17	ga_ls8c_ard_3-0-0_113084_2016-07-01_final
2016-09-12 11:29:42	ga_ls8c_ard_3-0-0_112067_2016-09-12_final
2016-09-18 10:53:01	ga_ls8c_ard_3-0-0_106068_2016-09-18_final
2017-07-08 11:16:43	ga_ls8c_ard_3-0-0_109082_2017-07-08_final
2017-10-01 11:31:42	ga_ls8c_ard_3-0-0_112072_2017-10-01_final
2017-10-03 11:18:09	ga_ls8c_ard_3-0-0_110069_2017-10-03_final
2018-01-22 10:39:49	ga_ls8c_ard_3-0-0_103082_2018-01-22_final
2018-02-10 11:10:58	ga_ls8c_ard_3-0-0_108083_2018-02-10_final
2018-03-25 10:52:06	ga_ls8c_ard_3-0-0_105083_2018-03-25_final
2018-04-06 11:11:08	ga_ls8c_ard_3-0-0_109069_2018-04-06_final
2018-07-07 11:36:45	ga_ls8c_ard_3-0-0_113072_2018-07-07_final
2018-08-14 11:00:47	ga_ls8c_ard_3-0-0_107074_2018-08-14_final
2018-11-13 10:42:22	ga_ls8c_ard_3-0-0_104073_2018-11-13_final
2019-01-07 10:46:28	ga_ls8c_ard_3-0-0_105068_2019-01-07_final
2019-06-14 11:01:59	ga_ls8c_ard_3-1-0_107076_2019-06-14_final
2019-06-28 11:17:12	ga_ls8c_ard_3-1-0_109083_2019-06-28_final
2019-08-21 10:37:36	ga_ls8c_ard_3-1-0_103076_2019-08-21_final
2019-12-03 11:26:00	ga_ls8c_ard_3-1-0_111073_2019-12-03_final
2019-12-28 11:19:21	ga_ls8c_ard_3-1-0_110072_2019-12-28_final
2020-01-26 10:49:55	ga_ls8c_ard_3-1-0_105076_2020-01-26_final
2020-03-28 11:04:42	ga_ls8c_ard_3-1-0_107083_2020-03-28_final
2020-05-03 10:35:17	ga_ls8c_ard_3-1-0_103072_2020-05-03_final
2020-06-11 10:42:50	ga_ls8c_ard_3-1-0_104075_2020-06-11_final
2020-09-23 11:36:32	ga_ls8c_ard_3-1-0_112084_2020-09-23_final
2020-11-25 10:49:20	ga_ls8c_ard_3-1-0_105074_2020-11-25_final
2020-12-05 11:26:26	ga_ls8c_ard_3-1-0_111074_2020-12-05_final
2020-12-30 11:20:12	ga_ls8c_ard_3-2-0_110074_2020-12-30_final
2021-05-04 09:14:25	ga_ls8c_ard_3-2-0_089086_2021-05-03_final
2021-05-30 09:46:32	ga_ls8c_ard_3-2-0_095073_2021-05-30_final
2021-07-10 11:17:01	ga_ls8c_ard_3-2-0_110067_2021-07-10_final
2021-09-19 11:26:23	ga_ls8c_ard_3-2-0_111074_2021-09-19_final
2021-10-07 11:13:19	ga_ls8c_ard_3-2-0_109072_2021-10-07_final
2021-11-10 09:20:28	ga_ls8c_ard_3-2-0_091068_2021-11-09_final
2021-11-28 10:49:46	ga_ls8c_ard_3-2-0_105075_2021-11-28_final
2021-12-25 10:29:34	ga_ls8c_ard_3-2-1_102071_2021-12-25_final
2022-01-05 10:11:22	ga_ls8c_ard_3-2-1_099072_2022-01-05_final
2022-01-15 09:13:56	ga_ls8c_ard_3-2-1_089083_2022-01-14_final
2022-03-01 10:22:07	ga_ls8c_ard_3-2-1_100084_2022-03-01_final
2022-03-12 10:01:07	ga_ls8c_ard_3-2-1_097078_2022-03-12_final
2022-03-14 11:26:02	ga_ls8c_ard_3-2-1_111074_2022-03-14_final
2022-03-20 10:49:41	ga_ls8c_ard_3-2-1_105076_2022-03-20_final
2022-03-30 11:23:26	ga_ls8c_ard_3-2-1_111068_2022-03-30_final
2022-04-03 09:23:01	ga_ls8c_ard_3-2-1_091076_2022-04-02_final
2022-04-11 11:52:13	ga_ls8c_ard_3-2-1_115078_2022-04-11_final
2022-04-15 11:29:31	ga_ls8c_ard_3-2-1_111083_2022-04-15_final
2022-04-17 09:34:17	ga_ls8c_ard_3-2-1_093073_2022-04-17_final
2022-05-13 11:52:43	ga_ls8c_ard_3-2-1_115079_2022-05-13_final
2022-06-29 09:33:18	ga_ls8c_ard_3-2-1_092085_2022-06-29_final
2022-06-29 11:11:23	ga_ls8c_ard_3-2-1_108083_2022-06-29_final
2022-07-15 09:33:16	ga_ls8c_ard_3-2-1_092085_2022-07-15_final
2022-09-30 10:34:53	ga_ls8c_ard_3-2-1_103068_2022-09-30_final
2022-10-13 11:45:07	ga_ls8c_ard_3-2-1_114074_2022-10-13_final
2022-10-29 10:07:59	ga_ls8c_ard_3-2-1_098078_2022-10-29_final
2022-11-05 10:10:58	ga_ls8c_ard_3-2-1_099070_2022-11-05_final
2022-12-03 10:36:24	ga_ls8c_ard_3-2-1_103072_2022-12-03_final
2022-12-07 10:10:29	ga_ls8c_ard_3-2-1_099069_2022-12-07_final
2022-12-30 10:20:07	ga_ls8c_ard_3-2-1_100078_2022-12-30_final
2023-01-15 10:19:37	ga_ls8c_ard_3-2-1_100077_2023-01-15_final
2023-01-17 10:03:38	ga_ls8c_ard_3-2-1_098068_2023-01-17_final
2023-02-22 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-02-22_final
2023-04-03 10:29:48	ga_ls8c_ard_3-2-1_102073_2023-04-03_final
2023-04-04 11:15:03	ga_ls8c_ard_3-2-1_109078_2023-04-04_final
2023-05-10 10:48:44	ga_ls8c_ard_3-2-1_105075_2023-05-10_final
2023-05-29 11:18:49	ga_ls8c_ard_3-2-1_110073_2023-05-29_final
2023-06-13 10:35:17	ga_ls8c_ard_3-2-1_103072_2023-06-13_final
2023-06-14 09:45:40	ga_ls8c_ard_3-2-1_094087_2023-06-14_final
2023-07-11 09:22:11	ga_ls8c_ard_3-2-1_091074_2023-07-10_final
2023-08-28 09:26:28	ga_ls8c_ard_3-2-1_091084_2023-08-27_final
2023-09-02 09:40:13	ga_ls8c_ard_3-2-1_094072_2023-09-02_final
2023-10-09 11:38:36	ga_ls8c_ard_3-2-1_113074_2023-10-09_final
2023-10-25 09:57:22	ga_ls8c_ard_3-2-1_097068_2023-10-25_final
2023-11-04 10:34:27	ga_ls8c_ard_3-2-1_103068_2023-11-04_final
2023-12-04 09:11:28	ga_ls8c_ard_3-2-1_089077_2023-12-03_final
2024-01-08 11:19:12	ga_ls8c_ard_3-2-1_110072_2024-01-08_final
2024-01-19 09:22:35	ga_ls8c_ard_3-2-1_091074_2024-01-18_final
2024-01-26 09:33:27	ga_ls8c_ard_3-2-1_092086_2024-01-26_final
2024-02-04 11:01:27	ga_ls8c_ard_3-2-1_107074_2024-02-04_final
2024-02-14 10:04:02	ga_ls8c_ard_3-2-1_097085_2024-02-14_final
2024-02-28 11:51:12	ga_ls8c_ard_3-2-1_115075_2024-02-28_final
2024-02-29 09:17:29	ga_ls8c_ard_3-2-1_090077_2024-02-28_final
2024-03-20 10:29:02	ga_ls8c_ard_3-2-1_102071_2024-03-20_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