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
2013-04-03 09:51:48	ga_ls8c_ard_3-0-0_095081_2013-04-03_final
2013-04-22 09:50:35	ga_ls8c_ard_3-0-0_095078_2013-04-22_final
2013-06-25 09:50:44	ga_ls8c_ard_3-0-0_095078_2013-06-25_final
2013-07-11 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-07-11_final
2013-07-27 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-07-27_final
2013-07-27 09:52:23	ga_ls8c_ard_3-0-0_095082_2013-07-27_final
2013-08-12 09:50:24	ga_ls8c_ard_3-0-0_095077_2013-08-12_final
2013-08-12 09:50:48	ga_ls8c_ard_3-0-0_095078_2013-08-12_final
2013-08-28 09:50:51	ga_ls8c_ard_3-0-0_095078_2013-08-28_final
2013-10-31 09:50:31	ga_ls8c_ard_3-0-0_095078_2013-10-31_final
2013-12-18 09:50:17	ga_ls8c_ard_3-0-0_095078_2013-12-18_final
2014-01-03 09:50:10	ga_ls8c_ard_3-0-0_095078_2014-01-03_final
2014-01-19 09:49:56	ga_ls8c_ard_3-0-0_095078_2014-01-19_final
2014-02-04 09:49:49	ga_ls8c_ard_3-0-0_095078_2014-02-04_final
2014-03-08 09:49:22	ga_ls8c_ard_3-0-0_095078_2014-03-08_final
2014-03-08 09:49:46	ga_ls8c_ard_3-0-0_095079_2014-03-08_final
2014-03-24 09:49:32	ga_ls8c_ard_3-0-0_095079_2014-03-24_final
2014-04-25 09:47:51	ga_ls8c_ard_3-0-0_095076_2014-04-25_final
2014-05-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2014-05-11_final
2014-05-11 09:48:47	ga_ls8c_ard_3-0-0_095079_2014-05-11_final
2014-05-27 09:47:56	ga_ls8c_ard_3-0-0_095077_2014-05-27_final
2014-06-12 09:48:06	ga_ls8c_ard_3-0-0_095077_2014-06-12_final
2014-06-28 09:48:07	ga_ls8c_ard_3-0-0_095077_2014-06-28_final
2014-06-28 09:49:19	ga_ls8c_ard_3-0-0_095080_2014-06-28_final
2014-07-30 09:48:20	ga_ls8c_ard_3-0-0_095077_2014-07-30_final
2014-07-30 09:49:32	ga_ls8c_ard_3-0-0_095080_2014-07-30_final
2014-09-16 09:49:20	ga_ls8c_ard_3-0-0_095079_2014-09-16_final
2014-09-16 09:49:44	ga_ls8c_ard_3-0-0_095080_2014-09-16_final
2014-10-02 09:49:46	ga_ls8c_ard_3-0-0_095080_2014-10-02_final
2014-10-18 09:49:50	ga_ls8c_ard_3-0-0_095080_2014-10-18_final
2014-11-03 09:49:24	ga_ls8c_ard_3-0-0_095079_2014-11-03_final
2014-12-05 09:48:58	ga_ls8c_ard_3-0-0_095078_2014-12-05_final
2014-12-21 09:48:55	ga_ls8c_ard_3-0-0_095078_2014-12-21_final
2015-01-22 09:51:33	ga_ls8c_ard_3-0-0_095085_2015-01-22_final
2015-03-11 09:48:26	ga_ls8c_ard_3-0-0_095078_2015-03-11_final
2015-10-21 09:48:51	ga_ls8c_ard_3-0-0_095078_2015-10-21_final
2016-04-30 09:47:59	ga_ls8c_ard_3-0-0_095077_2016-04-30_final
2016-06-01 09:48:28	ga_ls8c_ard_3-0-0_095078_2016-06-01_final
2016-08-20 09:49:18	ga_ls8c_ard_3-0-0_095079_2016-08-20_final
2017-02-28 09:48:40	ga_ls8c_ard_3-0-0_095078_2017-02-28_final
2017-03-16 09:48:31	ga_ls8c_ard_3-0-0_095078_2017-03-16_final
2017-04-17 09:47:50	ga_ls8c_ard_3-0-0_095077_2017-04-17_final
2017-06-04 09:48:02	ga_ls8c_ard_3-0-0_095077_2017-06-04_final
2017-06-20 09:48:08	ga_ls8c_ard_3-0-0_095077_2017-06-20_final
2017-07-06 09:48:11	ga_ls8c_ard_3-0-0_095077_2017-07-06_final
2017-07-22 09:49:05	ga_ls8c_ard_3-0-0_095079_2017-07-22_final
2017-08-07 09:48:24	ga_ls8c_ard_3-0-0_095077_2017-08-07_final
2017-08-23 09:49:17	ga_ls8c_ard_3-0-0_095079_2017-08-23_final
2018-04-20 09:48:04	ga_ls8c_ard_3-0-0_095078_2018-04-20_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
2018-06-07 09:47:11	ga_ls8c_ard_3-0-0_095077_2018-06-07_final
2018-06-23 09:47:22	ga_ls8c_ard_3-0-0_095077_2018-06-23_final
2018-07-09 09:47:31	ga_ls8c_ard_3-0-0_095077_2018-07-09_final
2018-07-25 09:48:02	ga_ls8c_ard_3-0-0_095078_2018-07-25_final
2018-08-10 09:47:47	ga_ls8c_ard_3-0-0_095077_2018-08-10_final
2018-09-11 09:48:00	ga_ls8c_ard_3-0-0_095077_2018-09-11_final
2019-03-22 09:48:22	ga_ls8c_ard_3-1-0_095078_2019-03-22_final
2019-04-07 09:48:19	ga_ls8c_ard_3-1-0_095078_2019-04-07_final
2019-05-25 09:48:28	ga_ls8c_ard_3-0-0_095078_2019-05-25_final
2019-06-26 09:48:41	ga_ls8c_ard_3-1-0_095078_2019-06-26_final
2019-07-12 09:48:20	ga_ls8c_ard_3-1-0_095077_2019-07-12_final
2019-07-12 09:48:44	ga_ls8c_ard_3-1-0_095078_2019-07-12_final
2019-08-13 09:48:31	ga_ls8c_ard_3-1-0_095077_2019-08-13_final
2019-09-14 09:49:04	ga_ls8c_ard_3-1-0_095078_2019-09-14_final
2019-09-30 09:49:09	ga_ls8c_ard_3-1-0_095078_2019-09-30_final
2020-04-25 09:48:19	ga_ls8c_ard_3-1-0_095078_2020-04-25_final
2020-06-28 09:48:09	ga_ls8c_ard_3-1-0_095077_2020-06-28_final
2021-06-15 09:48:38	ga_ls8c_ard_3-2-0_095078_2021-06-15_final
2021-08-18 09:48:57	ga_ls8c_ard_3-2-0_095078_2021-08-18_final
2022-02-05 11:09:16	ga_ls8c_ard_3-2-1_108078_2022-02-05_final
2022-02-21 11:09:10	ga_ls8c_ard_3-2-1_108078_2022-02-21_final
2022-03-25 11:08:57	ga_ls8c_ard_3-2-1_108078_2022-03-25_final
2022-04-15 09:48:14	ga_ls8c_ard_3-2-1_095077_2022-04-15_final
2022-06-18 09:48:36	ga_ls8c_ard_3-2-1_095077_2022-06-18_final
2022-06-27 11:22:08	ga_ls8c_ard_3-2-1_110079_2022-06-27_final
2022-06-28 10:26:31	ga_ls8c_ard_3-2-1_101079_2022-06-28_final
2022-06-29 11:08:59	ga_ls8c_ard_3-2-1_108077_2022-06-29_final
2022-07-04 11:27:56	ga_ls8c_ard_3-2-1_111078_2022-07-04_final
2022-07-04 11:28:20	ga_ls8c_ard_3-2-1_111079_2022-07-04_final
2022-07-31 11:09:09	ga_ls8c_ard_3-2-1_108077_2022-07-31_final
2022-08-05 11:28:08	ga_ls8c_ard_3-2-1_111078_2022-08-05_final
2022-08-12 11:34:22	ga_ls8c_ard_3-2-1_112078_2022-08-12_final
2022-08-14 11:22:25	ga_ls8c_ard_3-2-1_110079_2022-08-14_final
2022-08-21 11:28:13	ga_ls8c_ard_3-2-1_111078_2022-08-21_final
2022-08-21 11:28:37	ga_ls8c_ard_3-2-1_111079_2022-08-21_final
2022-08-28 11:34:00	ga_ls8c_ard_3-2-1_112077_2022-08-28_final
2022-08-30 11:22:02	ga_ls8c_ard_3-2-1_110078_2022-08-30_final
2022-11-04 11:09:47	ga_ls8c_ard_3-2-1_108078_2022-11-04_final
2022-12-06 11:09:18	ga_ls8c_ard_3-2-1_108077_2022-12-06_final
2022-12-06 11:09:42	ga_ls8c_ard_3-2-1_108078_2022-12-06_final
2022-12-22 11:09:31	ga_ls8c_ard_3-2-1_108078_2022-12-22_final
2023-01-07 11:09:33	ga_ls8c_ard_3-2-1_108078_2023-01-07_final
2023-01-23 11:09:29	ga_ls8c_ard_3-2-1_108078_2023-01-23_final
2023-02-08 11:09:30	ga_ls8c_ard_3-2-1_108078_2023-02-08_final
2023-03-07 10:50:36	ga_ls8c_ard_3-2-1_105078_2023-03-07_final
2023-04-18 09:48:19	ga_ls8c_ard_3-2-1_095078_2023-04-18_final
2023-04-18 11:27:36	ga_ls8c_ard_3-2-1_111079_2023-04-18_final
2023-04-25 09:53:42	ga_ls8c_ard_3-2-1_096076_2023-04-25_final
2023-05-04 11:27:31	ga_ls8c_ard_3-2-1_111079_2023-05-04_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