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

58 results

Time (local)	Label
2013-12-18 09:45:54	ga_ls8c_ard_3-0-0_095067_2013-12-18_final
2014-01-21 11:14:52	ga_ls8c_ard_3-0-0_109074_2014-01-21_final
2014-01-25 09:12:26	ga_ls8c_ard_3-0-0_089077_2014-01-24_final
2014-02-12 10:37:55	ga_ls8c_ard_3-0-0_103075_2014-02-12_final
2014-05-22 09:32:33	ga_ls8c_ard_3-0-0_092085_2014-05-22_final
2014-10-15 10:53:01	ga_ls8c_ard_3-0-0_106068_2014-10-15_final
2014-12-29 10:35:06	ga_ls8c_ard_3-0-0_103070_2014-12-29_final
2015-02-16 09:38:02	ga_ls8c_ard_3-0-0_094067_2015-02-16_final
2015-03-09 09:57:38	ga_ls8c_ard_3-0-0_097070_2015-03-09_final
2015-06-27 10:10:28	ga_ls8c_ard_3-0-0_099072_2015-06-27_final
2015-07-23 09:11:42	ga_ls8c_ard_3-0-0_089079_2015-07-22_final
2015-12-13 11:45:57	ga_ls8c_ard_3-0-0_114077_2015-12-13_final
2015-12-21 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-20_final
2016-01-16 09:50:40	ga_ls8c_ard_3-0-0_096067_2016-01-16_final
2016-01-30 10:09:00	ga_ls8c_ard_3-0-0_098082_2016-01-30_final
2016-05-24 10:35:28	ga_ls8c_ard_3-0-0_103072_2016-05-24_final
2016-06-06 11:46:42	ga_ls8c_ard_3-0-0_114080_2016-06-06_final
2016-06-10 09:37:55	ga_ls8c_ard_3-0-0_094067_2016-06-10_final
2017-01-22 09:25:59	ga_ls8c_ard_3-0-0_092067_2017-01-21_final
2017-06-14 10:22:23	ga_ls8c_ard_3-0-0_101070_2017-06-14_final
2017-09-06 10:03:40	ga_ls8c_ard_3-0-0_097084_2017-09-06_final
2017-09-10 11:17:26	ga_ls8c_ard_3-0-0_109083_2017-09-10_final
2017-09-20 10:16:04	ga_ls8c_ard_3-0-0_099084_2017-09-20_final
2018-02-08 09:38:04	ga_ls8c_ard_3-0-0_094067_2018-02-08_final
2018-02-15 11:23:06	ga_ls8c_ard_3-0-0_111067_2018-02-15_final
2018-04-02 10:03:23	ga_ls8c_ard_3-0-0_097085_2018-04-02_final
2018-04-13 09:37:34	ga_ls8c_ard_3-0-0_094067_2018-04-13_final
2018-06-07 11:22:53	ga_ls8c_ard_3-0-0_111069_2018-06-07_final
2018-07-02 11:16:58	ga_ls8c_ard_3-0-0_110069_2018-07-02_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2018-10-03 09:11:04	ga_ls8c_ard_3-0-0_089077_2018-10-02_final
2019-01-18 10:27:54	ga_ls8c_ard_3-0-0_102068_2019-01-18_final
2019-03-23 10:28:03	ga_ls8c_ard_3-1-0_102069_2019-03-23_final
2019-05-12 11:56:55	ga_ls8c_ard_3-0-0_116075_2019-05-12_final
2019-05-12 11:57:19	ga_ls8c_ard_3-0-0_116076_2019-05-12_final
2019-08-22 09:39:59	ga_ls8c_ard_3-1-0_094071_2019-08-22_final
2020-02-23 09:34:03	ga_ls8c_ard_3-1-0_093072_2020-02-23_final
2020-03-28 11:04:42	ga_ls8c_ard_3-1-0_107083_2020-03-28_final
2020-04-10 10:32:53	ga_ls8c_ard_3-1-0_102081_2020-04-10_final
2020-05-01 09:09:59	ga_ls8c_ard_3-1-0_089075_2020-04-30_final
2020-06-27 10:40:11	ga_ls8c_ard_3-1-0_104068_2020-06-27_final
2020-08-01 11:16:52	ga_ls8c_ard_3-1-0_109082_2020-08-01_final
2021-08-27 09:38:26	ga_ls8c_ard_3-2-0_094067_2021-08-27_final
2021-08-27 11:20:06	ga_ls8c_ard_3-2-0_110074_2021-08-27_final
2021-10-02 09:22:39	ga_ls8c_ard_3-2-0_090089_2021-10-01_final
2021-10-28 09:51:01	ga_ls8c_ard_3-2-0_096067_2021-10-28_final
2021-12-08 09:52:21	ga_ls8c_ard_3-2-1_095086_2021-12-08_final
2021-12-12 09:22:26	ga_ls8c_ard_3-2-1_091073_2021-12-11_final
2022-04-18 11:57:37	ga_ls8c_ard_3-2-1_116076_2022-04-18_final
2022-08-06 10:33:43	ga_ls8c_ard_3-2-1_102081_2022-08-06_final
2022-09-02 10:16:26	ga_ls8c_ard_3-2-1_099084_2022-09-02_final
2022-09-18 10:10:34	ga_ls8c_ard_3-2-1_099069_2022-09-18_final
2022-10-01 11:22:56	ga_ls8c_ard_3-2-1_110080_2022-10-01_final
2022-11-06 10:53:02	ga_ls8c_ard_3-2-1_106067_2022-11-06_final
2023-01-23 09:34:36	ga_ls8c_ard_3-2-1_092088_2023-01-23_final
2023-04-08 09:10:57	ga_ls8c_ard_3-2-1_089077_2023-04-07_final
2023-05-07 11:56:47	ga_ls8c_ard_3-2-1_116075_2023-05-07_final
2023-11-07 09:30:26	ga_ls8c_ard_3-2-1_092078_2023-11-07_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