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
2013-04-13 11:34:52	ga_ls8c_ard_3-0-0_112076_2013-04-13_final
2013-04-22 11:29:28	ga_ls8c_ard_3-0-0_111078_2013-04-22_final
2013-04-22 11:29:52	ga_ls8c_ard_3-0-0_111079_2013-04-22_final
2013-04-29 11:34:50	ga_ls8c_ard_3-0-0_112076_2013-04-29_final
2013-04-29 11:35:38	ga_ls8c_ard_3-0-0_112078_2013-04-29_final
2013-07-18 11:35:02	ga_ls8c_ard_3-0-0_112076_2013-07-18_final
2013-07-18 11:35:26	ga_ls8c_ard_3-0-0_112077_2013-07-18_final
2013-08-03 11:35:28	ga_ls8c_ard_3-0-0_112077_2013-08-03_final
2013-08-19 11:34:41	ga_ls8c_ard_3-0-0_112075_2013-08-19_final
2013-08-19 11:35:29	ga_ls8c_ard_3-0-0_112077_2013-08-19_final
2013-09-04 11:34:42	ga_ls8c_ard_3-0-0_112075_2013-09-04_final
2013-09-13 11:30:04	ga_ls8c_ard_3-0-0_111079_2013-09-13_final
2013-10-06 11:33:45	ga_ls8c_ard_3-0-0_112073_2013-10-06_final
2013-10-06 11:34:57	ga_ls8c_ard_3-0-0_112076_2013-10-06_final
2013-10-15 11:29:57	ga_ls8c_ard_3-0-0_111079_2013-10-15_final
2013-12-02 11:29:42	ga_ls8c_ard_3-0-0_111079_2013-12-02_final
2014-01-19 11:29:13	ga_ls8c_ard_3-0-0_111079_2014-01-19_final
2014-02-04 11:29:06	ga_ls8c_ard_3-0-0_111079_2014-02-04_final
2014-03-31 11:33:17	ga_ls8c_ard_3-0-0_112076_2014-03-31_final
2014-04-16 11:33:48	ga_ls8c_ard_3-0-0_112078_2014-04-16_final
2014-06-03 11:33:05	ga_ls8c_ard_3-0-0_112077_2014-06-03_final
2014-06-28 11:27:24	ga_ls8c_ard_3-0-0_111078_2014-06-28_final
2014-06-28 11:28:12	ga_ls8c_ard_3-0-0_111080_2014-06-28_final
2014-07-05 11:32:53	ga_ls8c_ard_3-0-0_112076_2014-07-05_final
2014-07-05 11:33:16	ga_ls8c_ard_3-0-0_112077_2014-07-05_final
2014-07-14 11:28:21	ga_ls8c_ard_3-0-0_111080_2014-07-14_final
2014-08-06 11:33:29	ga_ls8c_ard_3-0-0_112077_2014-08-06_final
2014-09-16 11:28:13	ga_ls8c_ard_3-0-0_111079_2014-09-16_final
2014-12-05 11:28:15	ga_ls8c_ard_3-0-0_111079_2014-12-05_final
2015-02-07 11:27:59	ga_ls8c_ard_3-0-0_111079_2015-02-07_final
2015-08-25 11:33:15	ga_ls8c_ard_3-0-0_112077_2015-08-25_final
2015-09-03 11:27:30	ga_ls8c_ard_3-0-0_111078_2015-09-03_final
2015-09-26 11:33:04	ga_ls8c_ard_3-0-0_112076_2015-09-26_final
2015-09-26 11:33:28	ga_ls8c_ard_3-0-0_112077_2015-09-26_final
2015-10-05 11:28:06	ga_ls8c_ard_3-0-0_111079_2015-10-05_final
2015-12-08 11:28:12	ga_ls8c_ard_3-0-0_111079_2015-12-08_final
2016-04-30 11:27:16	ga_ls8c_ard_3-0-0_111078_2016-04-30_final
2016-04-30 11:27:40	ga_ls8c_ard_3-0-0_111079_2016-04-30_final
2016-05-16 11:27:14	ga_ls8c_ard_3-0-0_111078_2016-05-16_final
2016-05-16 11:28:02	ga_ls8c_ard_3-0-0_111080_2016-05-16_final
2016-06-01 11:27:21	ga_ls8c_ard_3-0-0_111078_2016-06-01_final
2016-08-20 11:27:47	ga_ls8c_ard_3-0-0_111078_2016-08-20_final
2016-08-20 11:28:11	ga_ls8c_ard_3-0-0_111079_2016-08-20_final
2016-08-20 11:28:35	ga_ls8c_ard_3-0-0_111080_2016-08-20_final
2016-09-12 11:30:30	ga_ls8c_ard_3-0-0_112069_2016-09-12_final
2016-09-28 11:33:18	ga_ls8c_ard_3-0-0_112076_2016-09-28_final
2017-01-27 11:28:10	ga_ls8c_ard_3-0-0_111079_2017-01-27_final
2017-05-03 11:27:21	ga_ls8c_ard_3-0-0_111079_2017-05-03_final
2017-06-04 11:27:42	ga_ls8c_ard_3-0-0_111079_2017-06-04_final
2017-06-04 11:28:06	ga_ls8c_ard_3-0-0_111080_2017-06-04_final
2017-07-06 11:27:52	ga_ls8c_ard_3-0-0_111079_2017-07-06_final
2017-08-07 11:27:41	ga_ls8c_ard_3-0-0_111078_2017-08-07_final
2017-08-07 11:28:29	ga_ls8c_ard_3-0-0_111080_2017-08-07_final
2017-08-14 11:33:30	ga_ls8c_ard_3-0-0_112077_2017-08-14_final
2017-09-24 11:28:16	ga_ls8c_ard_3-0-0_111079_2017-09-24_final
2018-03-26 11:32:57	ga_ls8c_ard_3-0-0_112077_2018-03-26_final
2018-04-04 11:27:30	ga_ls8c_ard_3-0-0_111079_2018-04-04_final
2018-05-13 11:32:30	ga_ls8c_ard_3-0-0_112077_2018-05-13_final
2018-07-09 11:27:12	ga_ls8c_ard_3-0-0_111079_2018-07-09_final
2018-08-26 11:27:36	ga_ls8c_ard_3-0-0_111079_2018-08-26_final
2018-09-11 11:27:17	ga_ls8c_ard_3-0-0_111078_2018-09-11_final
2018-09-18 11:33:06	ga_ls8c_ard_3-0-0_112077_2018-09-18_final
2019-04-07 11:27:36	ga_ls8c_ard_3-1-0_111079_2019-04-07_final
2019-04-23 11:27:29	ga_ls8c_ard_3-0-0_111079_2019-04-23_final
2019-06-10 11:27:28	ga_ls8c_ard_3-0-0_111078_2019-06-10_final
2019-06-26 11:27:34	ga_ls8c_ard_3-1-0_111078_2019-06-26_final
2019-06-26 11:27:58	ga_ls8c_ard_3-1-0_111079_2019-06-26_final
2019-07-28 11:28:06	ga_ls8c_ard_3-1-0_111079_2019-07-28_final
2019-08-13 11:27:48	ga_ls8c_ard_3-1-0_111078_2019-08-13_final
2019-08-13 11:28:12	ga_ls8c_ard_3-1-0_111079_2019-08-13_final
2019-08-20 11:33:37	ga_ls8c_ard_3-1-0_112077_2019-08-20_final
2019-08-29 11:27:52	ga_ls8c_ard_3-1-0_111078_2019-08-29_final
2019-09-05 11:32:05	ga_ls8c_ard_3-1-0_112073_2019-09-05_final
2020-05-11 11:27:05	ga_ls8c_ard_3-1-0_111078_2020-05-11_final
2020-05-27 11:27:08	ga_ls8c_ard_3-1-0_111078_2020-05-27_final
2020-05-27 11:27:32	ga_ls8c_ard_3-1-0_111079_2020-05-27_final
2020-06-19 11:33:09	ga_ls8c_ard_3-1-0_112077_2020-06-19_final
2020-06-28 11:27:26	ga_ls8c_ard_3-1-0_111078_2020-06-28_final
2020-08-22 11:33:32	ga_ls8c_ard_3-1-0_112077_2020-08-22_final
2020-09-16 11:29:08	ga_ls8c_ard_3-1-0_111081_2020-09-16_final
2021-04-17 10:08:37	ga_ls8c_ard_3-2-0_098082_2021-04-17_final
2023-03-21 09:23:58	ga_ls8c_ard_3-2-1_091078_2023-03-20_final
2023-04-11 09:42:11	ga_ls8c_ard_3-2-1_094078_2023-04-11_final
2023-04-17 10:43:57	ga_ls8c_ard_3-2-1_104078_2023-04-17_final
2023-04-18 11:26:48	ga_ls8c_ard_3-2-1_111077_2023-04-18_final
2023-04-20 11:15:37	ga_ls8c_ard_3-2-1_109080_2023-04-20_final
2023-04-25 09:53:18	ga_ls8c_ard_3-2-1_096075_2023-04-25_final
2023-04-25 09:55:17	ga_ls8c_ard_3-2-1_096080_2023-04-25_final
2023-04-27 09:42:07	ga_ls8c_ard_3-2-1_094078_2023-04-27_final
2023-04-30 10:15:48	ga_ls8c_ard_3-2-1_099085_2023-04-30_final
2023-05-03 10:45:04	ga_ls8c_ard_3-2-1_104081_2023-05-03_final
2023-05-04 09:49:02	ga_ls8c_ard_3-2-1_095080_2023-05-04_final
2023-05-04 11:26:43	ga_ls8c_ard_3-2-1_111077_2023-05-04_final
2023-05-06 09:36:15	ga_ls8c_ard_3-2-1_093079_2023-05-06_final
2023-05-08 11:02:20	ga_ls8c_ard_3-2-1_107078_2023-05-08_final
2023-05-11 11:32:23	ga_ls8c_ard_3-2-1_112076_2023-05-11_final
2023-05-11 11:33:11	ga_ls8c_ard_3-2-1_112078_2023-05-11_final
2023-05-19 10:43:41	ga_ls8c_ard_3-2-1_104078_2023-05-19_final
2023-05-27 09:53:05	ga_ls8c_ard_3-2-1_096075_2023-05-27_final
2023-05-27 09:54:17	ga_ls8c_ard_3-2-1_096078_2023-05-27_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