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

48 results

Time (local)	Label
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-09-11 10:03:58	ga_ls8c_ard_3-0-0_097080_2013-09-11_final
2013-11-13 10:54:31	ga_ls8c_ard_3-0-0_106068_2013-11-13_final
2013-12-07 10:09:21	ga_ls8c_ard_3-0-0_098079_2013-12-07_final
2014-01-24 11:46:57	ga_ls8c_ard_3-0-0_114077_2014-01-24_final
2014-03-30 09:12:21	ga_ls8c_ard_3-0-0_089079_2014-03-29_final
2014-07-03 10:09:31	ga_ls8c_ard_3-0-0_098084_2014-07-03_final
2014-07-18 09:26:21	ga_ls8c_ard_3-0-0_091084_2014-07-17_final
2014-10-01 09:07:17	ga_ls8c_ard_3-0-0_088082_2014-09-30_final
2014-11-05 09:35:27	ga_ls8c_ard_3-0-0_093075_2014-11-05_final
2014-12-18 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-12-17_final
2015-07-01 11:28:40	ga_ls8c_ard_3-0-0_111082_2015-07-01_final
2015-07-26 11:19:54	ga_ls8c_ard_3-0-0_110075_2015-07-26_final
2015-10-28 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-10-28_final
2015-12-06 11:42:10	ga_ls8c_ard_3-0-0_113083_2015-12-06_final
2015-12-29 10:06:16	ga_ls8c_ard_3-0-0_098075_2015-12-29_final
2016-07-06 11:57:16	ga_ls8c_ard_3-0-0_116075_2016-07-06_final
2017-03-20 11:03:26	ga_ls8c_ard_3-0-0_107080_2017-03-20_final
2017-05-03 11:23:46	ga_ls8c_ard_3-0-0_111070_2017-05-03_final
2017-06-16 11:52:07	ga_ls8c_ard_3-0-0_115078_2017-06-16_final
2017-07-12 09:15:55	ga_ls8c_ard_3-0-0_089089_2017-07-11_final
2018-01-14 11:24:33	ga_ls8c_ard_3-0-0_111070_2018-01-14_final
2018-05-26 09:24:09	ga_ls8c_ard_3-0-0_091081_2018-05-25_final
2018-09-24 09:17:34	ga_ls8c_ard_3-0-0_090078_2018-09-23_final
2018-11-14 11:26:25	ga_ls8c_ard_3-0-0_111075_2018-11-14_final
2018-12-01 10:28:47	ga_ls8c_ard_3-0-0_102070_2018-12-01_final
2018-12-21 10:04:01	ga_ls8c_ard_3-0-0_098070_2018-12-21_final
2019-03-06 11:29:20	ga_ls8c_ard_3-0-0_111083_2019-03-06_final
2019-03-27 11:45:23	ga_ls8c_ard_3-1-0_114077_2019-03-27_final
2019-12-02 10:46:20	ga_ls8c_ard_3-1-0_104082_2019-12-02_final
2020-02-03 09:57:14	ga_ls8c_ard_3-1-0_097068_2020-02-03_final
2020-02-21 11:24:06	ga_ls8c_ard_3-1-0_111069_2020-02-21_final
2020-04-09 09:46:27	ga_ls8c_ard_3-1-0_095073_2020-04-09_final
2020-07-20 10:48:54	ga_ls8c_ard_3-1-0_105074_2020-07-20_final
2020-08-29 10:02:05	ga_ls8c_ard_3-1-0_097080_2020-08-29_final
2021-01-08 09:34:17	ga_ls8c_ard_3-2-0_093072_2021-01-08_final
2021-02-02 11:05:41	ga_ls8c_ard_3-2-0_108069_2021-02-02_final
2021-05-30 11:23:49	ga_ls8c_ard_3-2-0_111069_2021-05-30_final
2021-06-25 10:25:21	ga_ls8c_ard_3-2-0_101077_2021-06-25_final
2021-07-01 09:46:18	ga_ls8c_ard_3-2-0_095072_2021-07-01_final
2021-07-30 10:54:26	ga_ls8c_ard_3-2-0_106072_2021-07-30_final
2021-09-28 11:20:14	ga_ls8c_ard_3-2-0_110074_2021-09-28_final
2021-11-10 09:29:15	ga_ls8c_ard_3-2-0_091090_2021-11-09_final
2022-03-02 12:37:28	ga_ls8c_ard_3-2-1_123067_2022-03-02_final
2022-12-19 10:38:16	ga_ls8c_ard_3-2-1_103077_2022-12-19_final
2024-03-11 10:35:42	ga_ls8c_ard_3-2-1_103072_2024-03-11_final
2024-03-17 11:38:15	ga_ls8c_ard_3-2-1_113074_2024-03-17_final
2024-03-20 10:33:25	ga_ls8c_ard_3-2-1_102082_2024-03-20_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years