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 09:53:48	ga_ls8c_ard_3-0-0_095086_2013-04-03_final
2013-05-01 09:47:36	ga_ls8c_ard_3-0-0_094086_2013-05-01_final
2013-07-01 09:16:53	ga_ls8c_ard_3-0-0_089086_2013-06-30_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-07-04 09:47:47	ga_ls8c_ard_3-0-0_094086_2013-07-04_final
2013-07-24 09:23:03	ga_ls8c_ard_3-0-0_090086_2013-07-23_final
2013-08-02 09:16:55	ga_ls8c_ard_3-0-0_089086_2013-08-01_final
2013-08-03 10:00:11	ga_ls8c_ard_3-0-0_096086_2013-08-03_final
2013-08-30 09:41:41	ga_ls8c_ard_3-0-0_093086_2013-08-30_final
2013-10-06 10:00:03	ga_ls8c_ard_3-0-0_096086_2013-10-06_final
2013-10-08 09:47:42	ga_ls8c_ard_3-0-0_094086_2013-10-08_final
2013-10-10 09:35:20	ga_ls8c_ard_3-0-0_092086_2013-10-10_final
2013-11-18 09:41:18	ga_ls8c_ard_3-0-0_093086_2013-11-18_final
2013-11-20 09:28:54	ga_ls8c_ard_3-0-0_091086_2013-11-19_final
2013-11-23 09:59:45	ga_ls8c_ard_3-0-0_096086_2013-11-23_final
2013-11-25 09:47:25	ga_ls8c_ard_3-0-0_094086_2013-11-25_final
2013-12-31 09:22:30	ga_ls8c_ard_3-0-0_090086_2013-12-30_final
2014-01-03 09:53:22	ga_ls8c_ard_3-0-0_095086_2014-01-03_final
2014-01-05 09:40:59	ga_ls8c_ard_3-0-0_093086_2014-01-05_final
2015-08-30 10:16:07	ga_ls8c_ard_3-0-0_099085_2015-08-30_final
2015-08-31 09:20:54	ga_ls8c_ard_3-0-0_090086_2015-08-30_final
2015-09-01 10:04:10	ga_ls8c_ard_3-0-0_097086_2015-09-01_final
2015-09-03 09:51:24	ga_ls8c_ard_3-0-0_095085_2015-09-03_final
2015-09-03 09:51:48	ga_ls8c_ard_3-0-0_095086_2015-09-03_final
2015-09-05 09:39:28	ga_ls8c_ard_3-0-0_093086_2015-09-05_final
2015-09-23 09:27:15	ga_ls8c_ard_3-0-0_091086_2015-09-22_final
2015-10-16 09:33:27	ga_ls8c_ard_3-0-0_092086_2015-10-16_final
2015-10-18 09:21:07	ga_ls8c_ard_3-0-0_090086_2015-10-17_final
2015-10-19 10:04:23	ga_ls8c_ard_3-0-0_097086_2015-10-19_final
2015-10-21 09:52:03	ga_ls8c_ard_3-0-0_095086_2015-10-21_final
2015-10-23 09:39:42	ga_ls8c_ard_3-0-0_093086_2015-10-23_final
2015-10-25 09:27:21	ga_ls8c_ard_3-0-0_091086_2015-10-24_final
2015-11-27 10:10:41	ga_ls8c_ard_3-0-0_098086_2015-11-27_final
2015-11-28 09:15:04	ga_ls8c_ard_3-0-0_089086_2015-11-27_final
2015-11-29 09:58:19	ga_ls8c_ard_3-0-0_096086_2015-11-29_final
2015-12-08 09:52:07	ga_ls8c_ard_3-0-0_095086_2015-12-08_final
2015-12-10 09:39:44	ga_ls8c_ard_3-0-0_093086_2015-12-10_final
2015-12-31 09:58:17	ga_ls8c_ard_3-0-0_096086_2015-12-31_final
2016-01-02 09:45:55	ga_ls8c_ard_3-0-0_094086_2016-01-02_final
2016-01-09 09:52:03	ga_ls8c_ard_3-0-0_095086_2016-01-09_final
2016-01-11 09:39:42	ga_ls8c_ard_3-0-0_093086_2016-01-11_final
2016-02-17 09:58:05	ga_ls8c_ard_3-0-0_096086_2016-02-17_final
2016-02-19 09:45:42	ga_ls8c_ard_3-0-0_094086_2016-02-19_final
2016-02-26 09:51:53	ga_ls8c_ard_3-0-0_095086_2016-02-26_final
2016-02-28 09:39:31	ga_ls8c_ard_3-0-0_093086_2016-02-28_final
2016-03-29 09:51:41	ga_ls8c_ard_3-0-0_095086_2016-03-29_final
2016-03-31 09:39:17	ga_ls8c_ard_3-0-0_093086_2016-03-31_final
2016-04-05 09:57:49	ga_ls8c_ard_3-0-0_096086_2016-04-05_final
2016-04-07 09:45:26	ga_ls8c_ard_3-0-0_094086_2016-04-07_final
2016-04-21 09:57:43	ga_ls8c_ard_3-0-0_096086_2016-04-21_final
2016-04-23 09:45:20	ga_ls8c_ard_3-0-0_094086_2016-04-23_final
2017-10-21 09:33:45	ga_ls8c_ard_3-0-0_092086_2017-10-21_final
2017-10-23 09:21:24	ga_ls8c_ard_3-0-0_090086_2017-10-22_final
2017-10-24 10:04:39	ga_ls8c_ard_3-0-0_097086_2017-10-24_final
2017-10-26 09:52:18	ga_ls8c_ard_3-0-0_095086_2017-10-26_final
2017-10-28 09:39:56	ga_ls8c_ard_3-0-0_093086_2017-10-28_final
2017-10-30 09:27:34	ga_ls8c_ard_3-0-0_091086_2017-10-29_final
2017-10-30 11:06:03	ga_ls8c_ard_3-0-0_107085_2017-10-30_final
2017-11-02 09:58:28	ga_ls8c_ard_3-0-0_096086_2017-11-02_final
2017-11-04 09:46:06	ga_ls8c_ard_3-0-0_094086_2017-11-04_final
2017-11-11 09:52:15	ga_ls8c_ard_3-0-0_095086_2017-11-11_final
2017-11-13 09:39:53	ga_ls8c_ard_3-0-0_093086_2017-11-13_final
2017-11-15 09:27:31	ga_ls8c_ard_3-0-0_091086_2017-11-14_final
2017-11-18 09:58:24	ga_ls8c_ard_3-0-0_096086_2017-11-18_final
2017-11-20 09:46:02	ga_ls8c_ard_3-0-0_094086_2017-11-20_final
2017-11-22 09:33:39	ga_ls8c_ard_3-0-0_092086_2017-11-22_final
2017-11-24 09:21:17	ga_ls8c_ard_3-0-0_090086_2017-11-23_final
2017-11-25 10:04:32	ga_ls8c_ard_3-0-0_097086_2017-11-25_final
2017-11-27 09:52:09	ga_ls8c_ard_3-0-0_095086_2017-11-27_final
2017-11-29 09:39:47	ga_ls8c_ard_3-0-0_093086_2017-11-29_final
2017-12-01 09:27:25	ga_ls8c_ard_3-0-0_091086_2017-11-30_final
2017-12-04 09:58:19	ga_ls8c_ard_3-0-0_096086_2017-12-04_final
2017-12-06 09:45:57	ga_ls8c_ard_3-0-0_094086_2017-12-06_final
2017-12-08 09:33:36	ga_ls8c_ard_3-0-0_092086_2017-12-08_final
2017-12-10 09:21:14	ga_ls8c_ard_3-0-0_090086_2017-12-09_final
2017-12-11 10:04:30	ga_ls8c_ard_3-0-0_097086_2017-12-11_final
2017-12-15 09:39:48	ga_ls8c_ard_3-0-0_093086_2017-12-15_final
2017-12-17 09:27:27	ga_ls8c_ard_3-0-0_091086_2017-12-16_final
2017-12-20 09:58:22	ga_ls8c_ard_3-0-0_096086_2017-12-20_final
2017-12-22 09:46:01	ga_ls8c_ard_3-0-0_094086_2017-12-22_final
2017-12-29 09:52:10	ga_ls8c_ard_3-0-0_095086_2017-12-29_final
2017-12-31 09:39:47	ga_ls8c_ard_3-0-0_093086_2017-12-31_final
2018-01-02 09:27:25	ga_ls8c_ard_3-0-0_091086_2018-01-01_final
2018-01-05 09:58:18	ga_ls8c_ard_3-0-0_096086_2018-01-05_final
2018-01-07 09:45:55	ga_ls8c_ard_3-0-0_094086_2018-01-07_final
2018-01-09 09:33:33	ga_ls8c_ard_3-0-0_092086_2018-01-09_final
2018-01-11 09:21:10	ga_ls8c_ard_3-0-0_090086_2018-01-10_final
2018-01-12 10:04:26	ga_ls8c_ard_3-0-0_097086_2018-01-12_final
2018-01-14 09:52:03	ga_ls8c_ard_3-0-0_095086_2018-01-14_final
2018-01-16 09:39:40	ga_ls8c_ard_3-0-0_093086_2018-01-16_final
2018-01-18 09:27:18	ga_ls8c_ard_3-0-0_091086_2018-01-17_final
2018-01-21 09:58:10	ga_ls8c_ard_3-0-0_096086_2018-01-21_final
2018-01-23 09:45:47	ga_ls8c_ard_3-0-0_094086_2018-01-23_final
2020-10-18 09:52:20	ga_ls8c_ard_3-1-0_095086_2020-10-18_final
2020-10-20 09:39:58	ga_ls8c_ard_3-1-0_093086_2020-10-20_final
2020-10-21 10:22:50	ga_ls8c_ard_3-1-0_100085_2020-10-21_final
2020-10-25 09:58:30	ga_ls8c_ard_3-1-0_096086_2020-10-25_final
2020-10-27 09:46:08	ga_ls8c_ard_3-1-0_094086_2020-10-27_final
2020-11-26 09:58:30	ga_ls8c_ard_3-1-0_096086_2020-11-26_final
2020-11-28 09:46:09	ga_ls8c_ard_3-1-0_094086_2020-11-28_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