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
2015-08-28 10:21:41	ga_ls8c_ard_3-0-0_101068_2015-08-28_final
2015-08-28 10:22:05	ga_ls8c_ard_3-0-0_101069_2015-08-28_final
2015-08-28 10:22:29	ga_ls8c_ard_3-0-0_101070_2015-08-28_final
2015-08-28 10:22:53	ga_ls8c_ard_3-0-0_101071_2015-08-28_final
2015-08-28 10:23:17	ga_ls8c_ard_3-1-0_101072_2015-08-28_final
2015-08-28 10:23:41	ga_ls8c_ard_3-0-0_101073_2015-08-28_final
2015-08-28 10:24:05	ga_ls8c_ard_3-0-0_101074_2015-08-28_final
2015-08-30 10:12:55	ga_ls8c_ard_3-0-0_099077_2015-08-30_final
2015-08-30 10:13:19	ga_ls8c_ard_3-0-0_099078_2015-08-30_final
2015-08-30 10:13:43	ga_ls8c_ard_3-0-0_099079_2015-08-30_final
2015-08-30 10:14:07	ga_ls8c_ard_3-0-0_099080_2015-08-30_final
2015-08-30 10:14:31	ga_ls8c_ard_3-0-0_099081_2015-08-30_final
2015-08-30 10:14:55	ga_ls8c_ard_3-0-0_099082_2015-08-30_final
2015-08-30 10:15:19	ga_ls8c_ard_3-0-0_099083_2015-08-30_final
2015-09-01 10:03:46	ga_ls8c_ard_3-0-0_097085_2015-09-01_final
2015-09-01 10:04:10	ga_ls8c_ard_3-0-0_097086_2015-09-01_final
2015-12-04 10:13:16	ga_ls8c_ard_3-0-0_099077_2015-12-04_final
2015-12-04 10:13:39	ga_ls8c_ard_3-0-0_099078_2015-12-04_final
2015-12-04 10:14:03	ga_ls8c_ard_3-0-0_099079_2015-12-04_final
2015-12-04 10:14:27	ga_ls8c_ard_3-0-0_099080_2015-12-04_final
2015-12-04 10:14:51	ga_ls8c_ard_3-0-0_099081_2015-12-04_final
2015-12-04 10:15:15	ga_ls8c_ard_3-0-0_099082_2015-12-04_final
2015-12-04 10:15:39	ga_ls8c_ard_3-0-0_099083_2015-12-04_final
2015-12-06 10:04:05	ga_ls8c_ard_3-0-0_097085_2015-12-06_final
2015-12-06 10:04:29	ga_ls8c_ard_3-0-0_097086_2015-12-06_final
2015-12-18 10:22:02	ga_ls8c_ard_3-0-0_101068_2015-12-18_final
2015-12-18 10:22:26	ga_ls8c_ard_3-0-0_101069_2015-12-18_final
2015-12-18 10:22:49	ga_ls8c_ard_3-0-0_101070_2015-12-18_final
2015-12-18 10:23:13	ga_ls8c_ard_3-0-0_101071_2015-12-18_final
2015-12-18 10:23:37	ga_ls8c_ard_3-0-0_101072_2015-12-18_final
2015-12-18 10:24:01	ga_ls8c_ard_3-0-0_101073_2015-12-18_final
2015-12-18 10:24:25	ga_ls8c_ard_3-0-0_101074_2015-12-18_final
2015-12-20 10:13:16	ga_ls8c_ard_3-0-0_099077_2015-12-20_final
2015-12-20 10:13:40	ga_ls8c_ard_3-0-0_099078_2015-12-20_final
2015-12-20 10:14:03	ga_ls8c_ard_3-0-0_099079_2015-12-20_final
2015-12-20 10:14:27	ga_ls8c_ard_3-0-0_099080_2015-12-20_final
2015-12-20 10:14:51	ga_ls8c_ard_3-0-0_099081_2015-12-20_final
2015-12-20 10:15:15	ga_ls8c_ard_3-0-0_099082_2015-12-20_final
2015-12-20 10:15:39	ga_ls8c_ard_3-0-0_099083_2015-12-20_final
2015-12-22 10:04:06	ga_ls8c_ard_3-0-0_097085_2015-12-22_final
2015-12-22 10:04:30	ga_ls8c_ard_3-0-0_097086_2015-12-22_final
2016-08-14 10:21:56	ga_ls8c_ard_3-0-0_101068_2016-08-14_final
2016-08-14 10:22:20	ga_ls8c_ard_3-0-0_101069_2016-08-14_final
2016-08-14 10:22:44	ga_ls8c_ard_3-0-0_101070_2016-08-14_final
2016-08-14 10:23:08	ga_ls8c_ard_3-0-0_101071_2016-08-14_final
2016-08-14 10:23:32	ga_ls8c_ard_3-0-0_101072_2016-08-14_final
2016-08-14 10:23:56	ga_ls8c_ard_3-0-0_101073_2016-08-14_final
2016-08-14 10:24:20	ga_ls8c_ard_3-0-0_101074_2016-08-14_final
2016-09-15 10:22:07	ga_ls8c_ard_3-0-0_101068_2016-09-15_final
2016-09-15 10:22:31	ga_ls8c_ard_3-0-0_101069_2016-09-15_final
2016-09-15 10:22:55	ga_ls8c_ard_3-0-0_101070_2016-09-15_final
2016-09-15 10:23:19	ga_ls8c_ard_3-0-0_101071_2016-09-15_final
2016-09-15 10:23:43	ga_ls8c_ard_3-1-0_101072_2016-09-15_final
2016-09-15 10:24:07	ga_ls8c_ard_3-0-0_101073_2016-09-15_final
2016-09-15 10:24:31	ga_ls8c_ard_3-0-0_101074_2016-09-15_final
2016-10-01 10:22:08	ga_ls8c_ard_3-0-0_101068_2016-10-01_final
2016-10-01 10:22:32	ga_ls8c_ard_3-0-0_101069_2016-10-01_final
2016-10-01 10:22:55	ga_ls8c_ard_3-0-0_101070_2016-10-01_final
2016-10-01 10:23:19	ga_ls8c_ard_3-0-0_101071_2016-10-01_final
2016-10-01 10:23:43	ga_ls8c_ard_3-1-0_101072_2016-10-01_final
2016-10-01 10:24:07	ga_ls8c_ard_3-0-0_101073_2016-10-01_final
2016-10-01 10:24:31	ga_ls8c_ard_3-0-0_101074_2016-10-01_final
2016-11-18 10:22:14	ga_ls8c_ard_3-0-0_101068_2016-11-18_final
2016-11-18 10:22:38	ga_ls8c_ard_3-0-0_101069_2016-11-18_final
2016-11-18 10:23:02	ga_ls8c_ard_3-0-0_101070_2016-11-18_final
2016-11-18 10:23:25	ga_ls8c_ard_3-0-0_101071_2016-11-18_final
2016-11-18 10:23:49	ga_ls8c_ard_3-1-0_101072_2016-11-18_final
2016-11-18 10:24:13	ga_ls8c_ard_3-0-0_101073_2016-11-18_final
2016-11-18 10:24:37	ga_ls8c_ard_3-0-0_101074_2016-11-18_final
2017-08-01 10:21:51	ga_ls8c_ard_3-0-0_101068_2017-08-01_final
2017-08-01 10:22:15	ga_ls8c_ard_3-0-0_101069_2017-08-01_final
2017-08-01 10:22:39	ga_ls8c_ard_3-0-0_101070_2017-08-01_final
2017-08-01 10:23:03	ga_ls8c_ard_3-0-0_101071_2017-08-01_final
2017-08-01 10:23:27	ga_ls8c_ard_3-1-0_101072_2017-08-01_final
2017-08-01 10:23:51	ga_ls8c_ard_3-0-0_101073_2017-08-01_final
2017-08-01 10:24:15	ga_ls8c_ard_3-0-0_101074_2017-08-01_final
2019-02-12 10:21:38	ga_ls8c_ard_3-0-0_101068_2019-02-12_final
2019-02-12 10:22:02	ga_ls8c_ard_3-0-0_101069_2019-02-12_final
2019-02-12 10:22:26	ga_ls8c_ard_3-0-0_101070_2019-02-12_final
2019-02-12 10:22:50	ga_ls8c_ard_3-0-0_101071_2019-02-12_final
2019-02-12 10:23:14	ga_ls8c_ard_3-0-0_101072_2019-02-12_final
2019-02-12 10:23:38	ga_ls8c_ard_3-0-0_101073_2019-02-12_final
2019-02-12 10:24:02	ga_ls8c_ard_3-0-0_101074_2019-02-12_final
2019-04-21 10:03:22	ga_ls8c_ard_3-0-0_097085_2019-04-21_final
2019-04-21 10:03:46	ga_ls8c_ard_3-0-0_097086_2019-04-21_final
2019-05-19 10:21:30	ga_ls8c_ard_3-0-0_101068_2019-05-19_final
2019-05-19 10:21:54	ga_ls8c_ard_3-0-0_101069_2019-05-19_final
2019-05-19 10:22:18	ga_ls8c_ard_3-0-0_101070_2019-05-19_final
2019-05-19 10:22:42	ga_ls8c_ard_3-0-0_101071_2019-05-19_final
2019-05-19 10:23:06	ga_ls8c_ard_3-0-0_101072_2019-05-19_final
2019-05-19 10:23:30	ga_ls8c_ard_3-0-0_101073_2019-05-19_final
2019-05-19 10:23:54	ga_ls8c_ard_3-0-0_101074_2019-05-19_final
2019-06-29 10:17:36	ga_ls8c_ard_3-1-0_100073_2019-06-29_final
2019-06-29 10:18:00	ga_ls8c_ard_3-1-0_100074_2019-06-29_final
2020-04-14 10:08:32	ga_ls8c_ard_3-1-0_098082_2020-04-14_final
2020-04-14 10:08:56	ga_ls8c_ard_3-1-0_098083_2020-04-14_final
2020-04-14 10:09:20	ga_ls8c_ard_3-1-0_098084_2020-04-14_final
2020-04-14 10:09:44	ga_ls8c_ard_3-1-0_098085_2020-04-14_final
2020-04-14 10:10:08	ga_ls8c_ard_3-1-0_098086_2020-04-14_final
2020-06-10 10:03:33	ga_ls8c_ard_3-1-0_097085_2020-06-10_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