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
2013-06-23 11:42:21	ga_ls8c_ard_3-0-0_113079_2013-06-23_final
2013-07-25 11:42:01	ga_ls8c_ard_3-0-0_113078_2013-07-25_final
2013-09-09 11:54:49	ga_ls8c_ard_3-0-0_115079_2013-09-09_final
2013-09-27 11:42:18	ga_ls8c_ard_3-0-0_113079_2013-09-27_final
2013-12-07 11:47:50	ga_ls8c_ard_3-0-0_114078_2013-12-07_final
2014-05-25 11:39:33	ga_ls8c_ard_3-0-0_113078_2014-05-25_final
2014-07-12 11:40:18	ga_ls8c_ard_3-0-0_113079_2014-07-12_final
2014-07-26 11:50:42	ga_ls8c_ard_3-0-0_115074_2014-07-26_final
2014-09-05 11:46:45	ga_ls8c_ard_3-0-0_114079_2014-09-05_final
2014-09-14 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-09-14_final
2014-09-30 11:39:23	ga_ls8c_ard_3-0-0_113076_2014-09-30_final
2014-09-30 11:39:47	ga_ls8c_ard_3-0-0_113077_2014-09-30_final
2014-10-16 11:40:40	ga_ls8c_ard_3-0-0_113079_2014-10-16_final
2015-04-10 11:39:01	ga_ls8c_ard_3-0-0_113077_2015-04-10_final
2016-03-09 11:50:41	ga_ls8c_ard_3-0-0_115074_2016-03-09_final
2016-03-27 11:38:57	ga_ls8c_ard_3-0-0_113076_2016-03-27_final
2016-05-30 11:38:54	ga_ls8c_ard_3-0-0_113076_2016-05-30_final
2016-07-08 11:45:20	ga_ls8c_ard_3-0-0_114076_2016-07-08_final
2016-08-23 11:58:19	ga_ls8c_ard_3-0-0_116077_2016-08-23_final
2016-09-01 11:52:59	ga_ls8c_ard_3-0-0_115079_2016-09-01_final
2016-09-19 11:39:53	ga_ls8c_ard_3-0-0_113077_2016-09-19_final
2017-02-26 11:40:19	ga_ls8c_ard_3-0-0_113079_2017-02-26_final
2017-05-01 11:38:56	ga_ls8c_ard_3-0-0_113077_2017-05-01_final
2017-06-02 11:38:51	ga_ls8c_ard_3-0-0_113076_2017-06-02_final
2017-06-02 11:39:39	ga_ls8c_ard_3-0-0_113078_2017-06-02_final
2017-07-09 11:57:59	ga_ls8c_ard_3-0-0_116077_2017-07-09_final
2017-07-20 11:39:55	ga_ls8c_ard_3-0-0_113078_2017-07-20_final
2017-10-08 11:42:18	ga_ls8c_ard_3-0-0_113083_2017-10-08_final
2017-10-13 11:58:28	ga_ls8c_ard_3-0-0_116077_2017-10-13_final
2018-05-09 11:57:16	ga_ls8c_ard_3-0-0_116077_2018-05-09_final
2019-07-17 11:41:47	ga_ls8c_ard_3-1-0_114067_2019-07-17_final
2019-07-26 11:39:15	ga_ls8c_ard_3-1-0_113076_2019-07-26_final
2019-12-19 09:49:29	ga_ls8c_ard_3-2-0_095079_2019-12-19_final
2020-03-06 11:39:34	ga_ls8c_ard_3-1-0_113077_2020-03-06_final
2020-04-23 11:39:11	ga_ls8c_ard_3-1-0_113077_2020-04-23_final
2020-08-12 10:57:09	ga_ls8c_ard_3-1-0_106079_2020-08-12_final
2020-08-22 09:53:51	ga_ls8c_ard_3-1-0_096075_2020-08-22_final
2020-08-22 09:55:03	ga_ls8c_ard_3-1-0_096078_2020-08-22_final
2020-08-24 09:43:06	ga_ls8c_ard_3-1-0_094079_2020-08-24_final
2020-08-29 11:40:10	ga_ls8c_ard_3-1-0_113078_2020-08-29_final
2020-11-10 09:54:28	ga_ls8c_ard_3-1-0_096076_2020-11-10_final
2020-11-12 09:42:53	ga_ls8c_ard_3-1-0_094078_2020-11-12_final
2020-12-07 09:38:23	ga_ls8c_ard_3-1-0_093082_2020-12-07_final
2020-12-12 09:54:32	ga_ls8c_ard_3-1-0_096076_2020-12-12_final
2020-12-21 09:48:44	ga_ls8c_ard_3-2-0_095077_2020-12-21_final
2021-01-01 11:09:01	ga_ls8c_ard_3-2-0_108077_2021-01-01_final
2021-01-06 11:27:08	ga_ls8c_ard_3-2-0_111076_2021-01-06_final
2021-01-31 09:42:45	ga_ls8c_ard_3-2-0_094078_2021-01-31_final
2021-02-03 10:12:03	ga_ls8c_ard_3-2-0_099074_2021-02-03_final
2021-02-21 10:00:00	ga_ls8c_ard_3-2-0_097075_2021-02-21_final
2021-03-02 09:54:09	ga_ls8c_ard_3-2-0_096076_2021-03-02_final
2021-03-02 11:33:02	ga_ls8c_ard_3-2-0_112076_2021-03-02_final
2021-03-04 09:41:47	ga_ls8c_ard_3-2-0_094076_2021-03-04_final
2021-03-04 09:44:34	ga_ls8c_ard_3-2-0_094083_2021-03-04_final
2021-03-11 11:27:58	ga_ls8c_ard_3-2-0_111079_2021-03-11_final
2021-03-18 09:54:00	ga_ls8c_ard_3-2-0_096076_2021-03-18_final
2021-03-18 11:34:05	ga_ls8c_ard_3-2-0_112079_2021-03-18_final
2021-03-19 10:36:04	ga_ls8c_ard_3-2-0_103073_2021-03-19_final
2021-03-27 09:49:00	ga_ls8c_ard_3-2-0_095079_2021-03-27_final
2021-04-01 10:08:43	ga_ls8c_ard_3-2-0_098082_2021-04-01_final
2021-04-03 09:53:33	ga_ls8c_ard_3-2-0_096075_2021-04-03_final
2021-04-03 11:32:50	ga_ls8c_ard_3-2-0_112076_2021-04-03_final
2021-04-10 09:59:41	ga_ls8c_ard_3-2-0_097075_2021-04-10_final
2021-04-13 10:30:58	ga_ls8c_ard_3-2-0_102076_2021-04-13_final
2021-04-16 11:02:39	ga_ls8c_ard_3-2-0_107078_2021-04-16_final
2021-04-19 09:53:50	ga_ls8c_ard_3-2-0_096076_2021-04-19_final
2021-04-19 11:33:31	ga_ls8c_ard_3-2-0_112078_2021-04-19_final
2021-04-21 09:41:04	ga_ls8c_ard_3-2-0_094075_2021-04-21_final
2021-04-21 09:41:52	ga_ls8c_ard_3-2-0_094077_2021-04-21_final
2021-04-26 09:59:33	ga_ls8c_ard_3-2-0_097075_2021-04-26_final
2021-04-28 09:47:58	ga_ls8c_ard_3-2-0_095077_2021-04-28_final
2021-05-05 09:53:41	ga_ls8c_ard_3-2-0_096076_2021-05-05_final
2021-05-05 09:54:05	ga_ls8c_ard_3-2-0_096077_2021-05-05_final
2021-05-09 09:31:46	ga_ls8c_ard_3-2-0_092083_2021-05-09_final
2021-05-09 11:10:15	ga_ls8c_ard_3-2-0_108082_2021-05-09_final
2021-05-12 09:59:31	ga_ls8c_ard_3-2-0_097075_2021-05-12_final
2021-05-12 09:59:54	ga_ls8c_ard_3-2-0_097076_2021-05-12_final
2021-05-12 11:39:12	ga_ls8c_ard_3-2-0_113077_2021-05-12_final
2021-05-14 09:47:58	ga_ls8c_ard_3-2-0_095077_2021-05-14_final
2021-05-21 09:53:26	ga_ls8c_ard_3-2-0_096075_2021-05-21_final
2021-05-21 11:33:07	ga_ls8c_ard_3-2-0_112077_2021-05-21_final
2021-05-21 11:33:54	ga_ls8c_ard_3-2-0_112079_2021-05-21_final
2021-05-23 11:23:58	ga_ls8c_ard_3-2-0_110085_2021-05-23_final
2021-05-25 09:31:56	ga_ls8c_ard_3-2-0_092083_2021-05-25_final
2021-05-28 11:39:21	ga_ls8c_ard_3-2-0_113077_2021-05-28_final
2021-05-29 10:43:44	ga_ls8c_ard_3-2-0_104077_2021-05-29_final
2021-05-30 09:48:08	ga_ls8c_ard_3-2-0_095077_2021-05-30_final
2021-06-05 10:48:23	ga_ls8c_ard_3-2-0_105073_2021-06-05_final
2021-06-06 11:34:02	ga_ls8c_ard_3-2-0_112079_2021-06-06_final
2021-06-08 09:42:25	ga_ls8c_ard_3-2-0_094078_2021-06-08_final
2021-06-15 11:27:07	ga_ls8c_ard_3-2-0_111077_2021-06-15_final
2021-06-22 09:54:03	ga_ls8c_ard_3-2-0_096076_2021-06-22_final
2021-06-22 11:33:20	ga_ls8c_ard_3-2-0_112077_2021-06-22_final
2021-06-22 11:34:08	ga_ls8c_ard_3-2-0_112079_2021-06-22_final
2021-06-26 11:09:01	ga_ls8c_ard_3-2-0_108078_2021-06-26_final
2021-06-30 10:43:55	ga_ls8c_ard_3-2-0_104077_2021-06-30_final
2021-07-01 11:27:11	ga_ls8c_ard_3-2-0_111077_2021-07-01_final
2021-07-06 10:08:50	ga_ls8c_ard_3-2-0_098082_2021-07-06_final
2021-07-08 11:34:10	ga_ls8c_ard_3-2-0_112079_2021-07-08_final
2021-07-10 11:21:48	ga_ls8c_ard_3-2-0_110079_2021-07-10_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