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 09:50:13	ga_ls8c_ard_3-0-0_095077_2013-04-03_final
2013-09-13 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-09-13_final
2013-12-18 09:49:29	ga_ls8c_ard_3-0-0_095076_2013-12-18_final
2014-02-04 09:49:25	ga_ls8c_ard_3-0-0_095077_2014-02-04_final
2014-03-08 09:49:46	ga_ls8c_ard_3-0-0_095079_2014-03-08_final
2014-06-12 09:48:53	ga_ls8c_ard_3-0-0_095079_2014-06-12_final
2014-07-30 09:47:57	ga_ls8c_ard_3-0-0_095076_2014-07-30_final
2014-07-30 09:49:08	ga_ls8c_ard_3-0-0_095079_2014-07-30_final
2014-10-02 09:49:22	ga_ls8c_ard_3-0-0_095079_2014-10-02_final
2014-10-02 09:49:46	ga_ls8c_ard_3-0-0_095080_2014-10-02_final
2014-11-03 09:51:23	ga_ls8c_ard_3-0-0_095084_2014-11-03_final
2015-02-07 09:48:18	ga_ls8c_ard_3-0-0_095077_2015-02-07_final
2015-03-11 09:47:38	ga_ls8c_ard_3-0-0_095076_2015-03-11_final
2015-06-15 09:48:05	ga_ls8c_ard_3-0-0_095078_2015-06-15_final
2015-06-15 09:48:29	ga_ls8c_ard_3-0-0_095079_2015-06-15_final
2015-11-06 09:48:31	ga_ls8c_ard_3-0-0_095077_2015-11-06_final
2015-11-22 09:48:33	ga_ls8c_ard_3-0-0_095077_2015-11-22_final
2015-12-08 09:50:07	ga_ls8c_ard_3-0-0_095081_2015-12-08_final
2015-12-24 09:48:32	ga_ls8c_ard_3-0-0_095077_2015-12-24_final
2016-02-26 09:48:18	ga_ls8c_ard_3-0-0_095077_2016-02-26_final
2016-04-30 09:47:59	ga_ls8c_ard_3-0-0_095077_2016-04-30_final
2016-08-04 09:48:49	ga_ls8c_ard_3-0-0_095078_2016-08-04_final
2016-08-20 09:48:54	ga_ls8c_ard_3-0-0_095078_2016-08-20_final
2016-11-24 09:49:08	ga_ls8c_ard_3-0-0_095078_2016-11-24_final
2017-01-11 09:48:35	ga_ls8c_ard_3-0-0_095077_2017-01-11_final
2017-01-27 09:48:53	ga_ls8c_ard_3-0-0_095078_2017-01-27_final
2017-02-12 09:48:45	ga_ls8c_ard_3-0-0_095078_2017-02-12_final
2017-12-13 09:48:57	ga_ls8c_ard_3-0-0_095078_2017-12-13_final
2018-01-30 09:48:42	ga_ls8c_ard_3-0-0_095078_2018-01-30_final
2018-02-15 09:48:12	ga_ls8c_ard_3-0-0_095077_2018-02-15_final
2018-02-15 09:48:36	ga_ls8c_ard_3-0-0_095078_2018-02-15_final
2018-03-03 09:47:41	ga_ls8c_ard_3-0-0_095076_2018-03-03_final
2018-03-19 09:48:20	ga_ls8c_ard_3-0-0_095078_2018-03-19_final
2018-04-04 09:48:13	ga_ls8c_ard_3-0-0_095078_2018-04-04_final
2018-04-20 09:47:40	ga_ls8c_ard_3-0-0_095077_2018-04-20_final
2018-04-20 09:48:04	ga_ls8c_ard_3-0-0_095078_2018-04-20_final
2018-07-09 09:47:31	ga_ls8c_ard_3-0-0_095077_2018-07-09_final
2018-10-29 09:48:18	ga_ls8c_ard_3-0-0_095077_2018-10-29_final
2018-11-30 09:48:19	ga_ls8c_ard_3-0-0_095077_2018-11-30_final
2018-12-16 09:48:16	ga_ls8c_ard_3-0-0_095077_2018-12-16_final
2018-12-16 09:48:40	ga_ls8c_ard_3-0-0_095078_2018-12-16_final
2019-01-01 09:48:40	ga_ls8c_ard_3-0-0_095078_2019-01-01_final
2019-01-17 09:48:14	ga_ls8c_ard_3-0-0_095077_2019-01-17_final
2019-01-17 09:48:38	ga_ls8c_ard_3-0-0_095078_2019-01-17_final
2019-02-02 09:48:10	ga_ls8c_ard_3-0-0_095077_2019-02-02_final
2019-02-18 09:48:08	ga_ls8c_ard_3-0-0_095077_2019-02-18_final
2019-03-06 09:48:03	ga_ls8c_ard_3-0-0_095077_2019-03-06_final
2019-04-07 09:47:55	ga_ls8c_ard_3-1-0_095077_2019-04-07_final
2019-08-13 09:48:55	ga_ls8c_ard_3-1-0_095078_2019-08-13_final
2019-08-29 09:48:59	ga_ls8c_ard_3-1-0_095078_2019-08-29_final
2019-09-14 09:49:04	ga_ls8c_ard_3-1-0_095078_2019-09-14_final
2019-09-30 09:48:45	ga_ls8c_ard_3-1-0_095077_2019-09-30_final
2020-02-21 09:48:24	ga_ls8c_ard_3-1-0_095077_2020-02-21_final
2020-02-21 09:48:48	ga_ls8c_ard_3-1-0_095078_2020-02-21_final
2020-04-25 09:48:19	ga_ls8c_ard_3-1-0_095078_2020-04-25_final
2020-05-11 09:48:12	ga_ls8c_ard_3-1-0_095078_2020-05-11_final
2020-06-12 09:48:25	ga_ls8c_ard_3-1-0_095078_2020-06-12_final
2020-07-14 09:48:40	ga_ls8c_ard_3-1-0_095078_2020-07-14_final
2020-10-18 09:49:32	ga_ls8c_ard_3-1-0_095079_2020-10-18_final
2021-04-26 09:59:33	ga_ls8c_ard_3-2-0_097075_2021-04-26_final
2021-05-14 09:48:22	ga_ls8c_ard_3-2-0_095078_2021-05-14_final
2021-06-22 11:33:20	ga_ls8c_ard_3-2-0_112077_2021-06-22_final
2021-06-24 11:21:23	ga_ls8c_ard_3-2-0_110078_2021-06-24_final
2021-06-26 11:09:01	ga_ls8c_ard_3-2-0_108078_2021-06-26_final
2021-07-01 09:48:41	ga_ls8c_ard_3-2-0_095078_2021-07-01_final
2021-07-20 11:58:32	ga_ls8c_ard_3-2-0_116078_2021-07-20_final
2021-07-24 11:33:27	ga_ls8c_ard_3-2-0_112077_2021-07-24_final
2021-08-02 09:48:28	ga_ls8c_ard_3-2-0_095077_2021-08-02_final
2021-08-04 11:12:12	ga_ls8c_ard_3-2-0_109070_2021-08-04_final
2021-08-09 09:54:17	ga_ls8c_ard_3-2-0_096076_2021-08-09_final
2021-08-13 11:09:16	ga_ls8c_ard_3-2-0_108078_2021-08-13_final
2021-08-16 10:00:07	ga_ls8c_ard_3-2-0_097075_2021-08-16_final
2021-08-16 10:00:31	ga_ls8c_ard_3-2-0_097076_2021-08-16_final
2021-08-25 11:33:39	ga_ls8c_ard_3-2-0_112077_2021-08-25_final
2021-09-01 10:00:35	ga_ls8c_ard_3-2-0_097076_2021-09-01_final
2021-09-03 11:29:55	ga_ls8c_ard_3-2-0_111083_2021-09-03_final
2021-09-10 11:33:44	ga_ls8c_ard_3-2-0_112077_2021-09-10_final
2021-09-12 09:42:54	ga_ls8c_ard_3-2-0_094078_2021-09-12_final
2021-09-14 11:09:25	ga_ls8c_ard_3-2-0_108078_2021-09-14_final
2021-10-05 09:48:47	ga_ls8c_ard_3-2-0_095077_2021-10-05_final
2021-10-05 09:49:11	ga_ls8c_ard_3-2-0_095078_2021-10-05_final
2021-10-20 10:46:03	ga_ls8c_ard_3-2-0_104081_2021-10-20_final
2021-12-19 11:09:28	ga_ls8c_ard_3-2-1_108078_2021-12-19_final
2022-01-18 09:43:37	ga_ls8c_ard_3-2-1_094080_2022-01-18_final
2022-01-20 11:09:20	ga_ls8c_ard_3-2-1_108078_2022-01-20_final
2022-01-25 09:48:57	ga_ls8c_ard_3-2-1_095078_2022-01-25_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
2022-03-30 09:48:08	ga_ls8c_ard_3-2-1_095077_2022-03-30_final
2022-06-21 11:58:24	ga_ls8c_ard_3-2-1_116077_2022-06-21_final
2022-07-06 09:37:05	ga_ls8c_ard_3-2-1_093079_2022-07-06_final
2022-07-29 11:24:41	ga_ls8c_ard_3-2-1_110085_2022-07-29_final
2022-08-05 09:49:15	ga_ls8c_ard_3-2-1_095078_2022-08-05_final
2022-08-12 11:33:58	ga_ls8c_ard_3-2-1_112077_2022-08-12_final
2022-08-16 11:09:40	ga_ls8c_ard_3-2-1_108078_2022-08-16_final
2022-09-13 11:34:53	ga_ls8c_ard_3-2-1_112079_2022-09-13_final
2022-12-22 11:09:31	ga_ls8c_ard_3-2-1_108078_2022-12-22_final
2023-01-10 09:58:45	ga_ls8c_ard_3-2-1_097071_2023-01-10_final
2023-02-27 11:39:42	ga_ls8c_ard_3-2-1_113077_2023-02-27_final
2023-03-17 09:48:44	ga_ls8c_ard_3-2-1_095078_2023-03-17_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