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
2013-04-22 09:50:11	ga_ls8c_ard_3-0-0_095077_2013-04-22_final
2013-08-28 09:50:27	ga_ls8c_ard_3-0-0_095077_2013-08-28_final
2013-08-28 09:50:51	ga_ls8c_ard_3-0-0_095078_2013-08-28_final
2013-09-29 09:50:16	ga_ls8c_ard_3-0-0_095077_2013-09-29_final
2014-02-04 09:49:49	ga_ls8c_ard_3-0-0_095078_2014-02-04_final
2014-03-17 09:41:54	ga_ls8c_ard_3-0-0_094075_2014-03-17_final
2014-03-24 09:49:32	ga_ls8c_ard_3-0-0_095079_2014-03-24_final
2014-04-18 09:42:08	ga_ls8c_ard_3-0-0_094077_2014-04-18_final
2014-05-04 09:42:41	ga_ls8c_ard_3-0-0_094079_2014-05-04_final
2014-06-05 09:42:40	ga_ls8c_ard_3-0-0_094079_2014-06-05_final
2014-06-12 09:47:42	ga_ls8c_ard_3-0-0_095076_2014-06-12_final
2014-06-21 09:41:08	ga_ls8c_ard_3-0-0_094075_2014-06-21_final
2014-06-21 09:41:56	ga_ls8c_ard_3-0-0_094077_2014-06-21_final
2014-07-07 09:42:03	ga_ls8c_ard_3-0-0_094077_2014-07-07_final
2014-08-04 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-08-04_final
2014-10-14 11:53:26	ga_ls8c_ard_3-0-0_115080_2014-10-14_final
2014-10-27 09:42:49	ga_ls8c_ard_3-0-0_094078_2014-10-27_final
2014-11-12 09:42:51	ga_ls8c_ard_3-0-0_094078_2014-11-12_final
2015-02-07 09:48:42	ga_ls8c_ard_3-0-0_095078_2015-02-07_final
2015-03-27 09:47:54	ga_ls8c_ard_3-0-0_095077_2015-03-27_final
2015-03-27 09:48:18	ga_ls8c_ard_3-0-0_095078_2015-03-27_final
2015-05-23 09:41:40	ga_ls8c_ard_3-0-0_094078_2015-05-23_final
2015-05-30 09:48:41	ga_ls8c_ard_3-0-0_095080_2015-05-30_final
2015-07-01 09:47:47	ga_ls8c_ard_3-0-0_095077_2015-07-01_final
2015-07-26 09:42:13	ga_ls8c_ard_3-0-0_094078_2015-07-26_final
2015-08-18 09:48:08	ga_ls8c_ard_3-0-0_095077_2015-08-18_final
2015-09-03 09:48:13	ga_ls8c_ard_3-0-0_095077_2015-09-03_final
2015-09-19 09:48:21	ga_ls8c_ard_3-0-0_095077_2015-09-19_final
2015-10-05 09:48:49	ga_ls8c_ard_3-0-0_095078_2015-10-05_final
2015-10-30 09:42:43	ga_ls8c_ard_3-0-0_094078_2015-10-30_final
2015-11-06 09:48:55	ga_ls8c_ard_3-0-0_095078_2015-11-06_final
2015-11-09 11:57:54	ga_ls8c_ard_3-0-0_116076_2015-11-09_final
2016-01-12 11:57:52	ga_ls8c_ard_3-0-0_116076_2016-01-12_final
2016-03-13 09:50:38	ga_ls8c_ard_3-0-0_095083_2016-03-13_final
2016-03-22 09:42:23	ga_ls8c_ard_3-0-0_094078_2016-03-22_final
2016-03-29 09:48:05	ga_ls8c_ard_3-0-0_095077_2016-03-29_final
2016-04-14 09:47:59	ga_ls8c_ard_3-0-0_095077_2016-04-14_final
2016-04-14 09:48:23	ga_ls8c_ard_3-0-0_095078_2016-04-14_final
2016-04-17 11:56:57	ga_ls8c_ard_3-0-0_116075_2016-04-17_final
2016-04-17 11:57:21	ga_ls8c_ard_3-0-0_116076_2016-04-17_final
2016-04-23 09:42:08	ga_ls8c_ard_3-0-0_094078_2016-04-23_final
2016-05-09 09:45:47	ga_ls8c_ard_3-0-0_094087_2016-05-09_final
2016-05-16 09:47:57	ga_ls8c_ard_3-0-0_095077_2016-05-16_final
2016-05-16 09:48:21	ga_ls8c_ard_3-0-0_095078_2016-05-16_final
2016-08-23 11:58:19	ga_ls8c_ard_3-0-0_116077_2016-08-23_final
2017-03-16 09:48:07	ga_ls8c_ard_3-0-0_095077_2017-03-16_final
2017-04-01 09:47:58	ga_ls8c_ard_3-0-0_095077_2017-04-01_final
2017-04-01 09:48:22	ga_ls8c_ard_3-0-0_095078_2017-04-01_final
2017-04-17 09:47:50	ga_ls8c_ard_3-0-0_095077_2017-04-17_final
2017-04-17 09:48:14	ga_ls8c_ard_3-0-0_095078_2017-04-17_final
2017-06-20 09:48:08	ga_ls8c_ard_3-0-0_095077_2017-06-20_final
2017-06-20 09:48:32	ga_ls8c_ard_3-0-0_095078_2017-06-20_final
2017-07-22 09:48:41	ga_ls8c_ard_3-0-0_095078_2017-07-22_final
2017-08-07 09:48:48	ga_ls8c_ard_3-0-0_095078_2017-08-07_final
2017-08-23 09:48:29	ga_ls8c_ard_3-0-0_095077_2017-08-23_final
2017-09-08 09:48:31	ga_ls8c_ard_3-0-0_095077_2017-09-08_final
2017-09-08 09:48:55	ga_ls8c_ard_3-0-0_095078_2017-09-08_final
2017-09-11 11:58:18	ga_ls8c_ard_3-0-0_116077_2017-09-11_final
2017-11-11 08:10:59	ga_ls8c_ard_3-2-1_079080_2017-11-10_final
2017-11-27 08:10:53	ga_ls8c_ard_3-2-1_079080_2017-11-26_final
2018-05-06 09:47:31	ga_ls8c_ard_3-0-0_095077_2018-05-06_final
2018-05-22 09:47:19	ga_ls8c_ard_3-0-0_095077_2018-05-22_final
2018-05-22 09:47:43	ga_ls8c_ard_3-0-0_095078_2018-05-22_final
2018-06-07 09:47:11	ga_ls8c_ard_3-0-0_095077_2018-06-07_final
2018-06-07 09:47:35	ga_ls8c_ard_3-0-0_095078_2018-06-07_final
2018-06-23 09:47:22	ga_ls8c_ard_3-0-0_095077_2018-06-23_final
2018-06-23 09:47:46	ga_ls8c_ard_3-0-0_095078_2018-06-23_final
2018-07-09 09:47:55	ga_ls8c_ard_3-0-0_095078_2018-07-09_final
2018-08-03 09:44:44	ga_ls8c_ard_3-0-0_094085_2018-08-03_final
2018-08-10 09:47:47	ga_ls8c_ard_3-0-0_095077_2018-08-10_final
2018-08-26 09:47:55	ga_ls8c_ard_3-0-0_095077_2018-08-26_final
2018-09-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2018-09-11_final
2018-09-14 11:57:48	ga_ls8c_ard_3-0-0_116077_2018-09-14_final
2018-09-27 09:48:06	ga_ls8c_ard_3-0-0_095077_2018-09-27_final
2019-05-18 09:44:13	ga_ls8c_ard_3-0-0_094083_2019-05-18_final
2020-06-12 09:48:01	ga_ls8c_ard_3-1-0_095077_2020-06-12_final
2020-06-28 09:48:09	ga_ls8c_ard_3-1-0_095077_2020-06-28_final
2020-07-14 09:48:16	ga_ls8c_ard_3-1-0_095077_2020-07-14_final
2020-07-30 09:48:20	ga_ls8c_ard_3-1-0_095077_2020-07-30_final
2020-08-15 09:48:48	ga_ls8c_ard_3-1-0_095078_2020-08-15_final
2020-10-02 09:44:43	ga_ls8c_ard_3-1-0_095067_2020-10-02_final
2021-06-15 09:48:14	ga_ls8c_ard_3-2-0_095077_2021-06-15_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
2021-09-03 09:49:02	ga_ls8c_ard_3-2-0_095078_2021-09-03_final
2021-09-04 10:31:30	ga_ls8c_ard_3-2-0_102076_2021-09-04_final
2021-09-19 09:49:05	ga_ls8c_ard_3-2-0_095078_2021-09-19_final
2021-11-15 09:44:58	ga_ls8c_ard_3-2-0_094083_2021-11-15_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
2022-07-04 09:48:39	ga_ls8c_ard_3-2-1_095077_2022-07-04_final
2022-08-08 11:58:40	ga_ls8c_ard_3-2-1_116077_2022-08-08_final
2022-11-04 09:35:17	ga_ls8c_ard_3-2-1_092089_2022-11-04_final
2023-02-24 11:08:25	ga_ls8c_ard_3-2-1_108076_2023-02-24_final
2023-06-19 11:38:43	ga_ls8c_ard_3-2-1_113076_2023-06-19_final
2023-08-08 09:48:15	ga_ls8c_ard_3-2-1_095077_2023-08-08_final
2023-09-24 10:45:42	ga_ls8c_ard_3-2-1_104081_2023-09-24_final
2023-10-24 12:31:28	ga_ls8c_ard_3-2-1_122067_2023-10-24_final
2023-11-11 10:45:45	ga_ls8c_ard_3-2-1_104081_2023-11-11_final
2024-01-03 12:37:33	ga_ls8c_ard_3-2-1_123067_2024-01-03_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