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
2013-03-28 09:21:03	ga_ls8c_ard_3-0-0_090090_2013-03-27_final
2013-06-29 09:30:49	ga_ls8c_ard_3-0-0_091090_2013-06-29_final
2013-07-01 09:18:28	ga_ls8c_ard_3-0-0_089090_2013-06-30_final
2013-07-17 09:18:29	ga_ls8c_ard_3-0-0_089090_2013-07-16_final
2013-07-24 09:24:39	ga_ls8c_ard_3-0-0_090090_2013-07-23_final
2013-08-02 09:18:31	ga_ls8c_ard_3-0-0_089090_2013-08-01_final
2013-08-18 09:18:31	ga_ls8c_ard_3-0-0_089090_2013-08-17_final
2013-10-03 09:30:45	ga_ls8c_ard_3-0-0_091090_2013-10-03_final
2013-10-28 09:24:24	ga_ls8c_ard_3-0-0_090090_2013-10-27_final
2013-11-06 09:18:15	ga_ls8c_ard_3-0-0_089090_2013-11-05_final
2013-11-20 09:30:30	ga_ls8c_ard_3-0-0_091090_2013-11-20_final
2013-11-29 09:24:18	ga_ls8c_ard_3-0-0_090090_2013-11-28_final
2013-12-15 09:24:14	ga_ls8c_ard_3-0-0_090090_2013-12-14_final
2013-12-31 09:24:06	ga_ls8c_ard_3-0-0_090090_2013-12-30_final
2014-01-23 09:30:00	ga_ls8c_ard_3-0-0_091090_2014-01-23_final
2014-01-25 09:17:38	ga_ls8c_ard_3-0-0_089090_2014-01-24_final
2014-03-12 09:29:24	ga_ls8c_ard_3-0-0_091090_2014-03-11_final
2014-03-14 09:17:02	ga_ls8c_ard_3-0-0_089090_2014-03-13_final
2014-03-30 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-03-29_final
2014-06-02 09:16:07	ga_ls8c_ard_3-0-0_089090_2014-06-01_final
2014-06-09 09:22:22	ga_ls8c_ard_3-0-0_090090_2014-06-08_final
2015-01-10 09:28:55	ga_ls8c_ard_3-0-0_091090_2015-01-09_final
2015-01-12 09:16:33	ga_ls8c_ard_3-0-0_089090_2015-01-11_final
2015-01-26 09:28:49	ga_ls8c_ard_3-0-0_091090_2015-01-25_final
2015-01-28 09:16:28	ga_ls8c_ard_3-0-0_089090_2015-01-27_final
2015-02-04 09:22:37	ga_ls8c_ard_3-0-0_090090_2015-02-03_final
2015-03-15 09:28:28	ga_ls8c_ard_3-0-0_091090_2015-03-14_final
2015-03-17 09:16:06	ga_ls8c_ard_3-0-0_089090_2015-03-16_final
2015-03-31 09:28:18	ga_ls8c_ard_3-0-0_091090_2015-03-30_final
2015-04-02 09:15:54	ga_ls8c_ard_3-0-0_089090_2015-04-01_final
2015-04-16 09:28:15	ga_ls8c_ard_3-0-0_091090_2015-04-15_final
2015-05-02 09:28:05	ga_ls8c_ard_3-0-0_091090_2015-05-01_final
2015-05-18 09:27:54	ga_ls8c_ard_3-0-0_091090_2015-05-17_final
2015-06-21 09:15:49	ga_ls8c_ard_3-0-0_089090_2015-06-20_final
2018-02-19 09:28:39	ga_ls8c_ard_3-0-0_091090_2018-02-18_final
2018-02-21 09:16:16	ga_ls8c_ard_3-0-0_089090_2018-02-20_final
2018-02-26 09:34:47	ga_ls8c_ard_3-0-0_092090_2018-02-26_final
2018-02-28 09:22:24	ga_ls8c_ard_3-0-0_090090_2018-02-27_final
2018-03-07 09:28:31	ga_ls8c_ard_3-0-0_091090_2018-03-06_final
2018-03-09 09:16:08	ga_ls8c_ard_3-0-0_089090_2018-03-08_final
2018-03-14 09:34:37	ga_ls8c_ard_3-0-0_092090_2018-03-14_final
2018-03-16 09:22:15	ga_ls8c_ard_3-0-0_090090_2018-03-15_final
2018-03-23 09:28:23	ga_ls8c_ard_3-0-0_091090_2018-03-22_final
2018-03-30 09:34:31	ga_ls8c_ard_3-0-0_092090_2018-03-30_final
2018-04-01 09:22:08	ga_ls8c_ard_3-0-0_090090_2018-03-31_final
2018-04-08 09:28:15	ga_ls8c_ard_3-0-0_091090_2018-04-07_final
2018-04-10 09:15:52	ga_ls8c_ard_3-0-0_089090_2018-04-09_final
2018-04-15 09:34:22	ga_ls8c_ard_3-0-0_092090_2018-04-15_final
2018-04-17 09:21:59	ga_ls8c_ard_3-0-0_090090_2018-04-16_final
2018-04-26 09:15:43	ga_ls8c_ard_3-0-0_089090_2018-04-25_final
2018-05-01 09:34:13	ga_ls8c_ard_3-0-0_092090_2018-05-01_final
2018-05-03 09:21:50	ga_ls8c_ard_3-0-0_090090_2018-05-02_final
2018-05-10 09:27:56	ga_ls8c_ard_3-0-0_091090_2018-05-09_final
2018-05-17 09:34:02	ga_ls8c_ard_3-0-0_092090_2018-05-17_final
2018-05-19 09:21:39	ga_ls8c_ard_3-0-0_090090_2018-05-18_final
2018-05-26 09:27:44	ga_ls8c_ard_3-1-0_091090_2018-05-25_final
2018-05-28 09:15:21	ga_ls8c_ard_3-0-0_089090_2018-05-27_final
2018-06-02 09:33:50	ga_ls8c_ard_3-0-0_092090_2018-06-02_final
2018-06-04 09:21:28	ga_ls8c_ard_3-0-0_090090_2018-06-03_final
2018-06-04 09:21:52	ga_ls8c_ard_3-0-0_090091_2018-06-03_final
2018-06-11 09:27:42	ga_ls8c_ard_3-0-0_091090_2018-06-10_final
2018-06-11 09:28:06	ga_ls8c_ard_3-0-0_091091_2018-06-10_final
2018-06-13 09:15:22	ga_ls8c_ard_3-0-0_089090_2018-06-12_final
2018-06-18 09:33:58	ga_ls8c_ard_3-0-0_092090_2018-06-18_final
2018-06-20 09:21:38	ga_ls8c_ard_3-0-0_090090_2018-06-19_final
2018-06-20 09:22:02	ga_ls8c_ard_3-0-0_090091_2018-06-19_final
2018-06-27 09:27:53	ga_ls8c_ard_3-0-0_091090_2018-06-26_final
2018-06-27 09:28:17	ga_ls8c_ard_3-0-0_091091_2018-06-26_final
2018-06-29 09:15:33	ga_ls8c_ard_3-0-0_089090_2018-06-28_final
2018-07-06 09:21:47	ga_ls8c_ard_3-0-0_090090_2018-07-05_final
2018-07-06 09:22:11	ga_ls8c_ard_3-0-0_090091_2018-07-05_final
2018-07-13 09:28:01	ga_ls8c_ard_3-0-0_091090_2018-07-12_final
2018-07-13 09:28:25	ga_ls8c_ard_3-0-0_091091_2018-07-12_final
2018-07-15 09:15:40	ga_ls8c_ard_3-0-0_089090_2018-07-14_final
2018-07-20 09:34:15	ga_ls8c_ard_3-0-0_092090_2018-07-20_final
2023-04-29 09:34:32	ga_ls8c_ard_3-2-1_092090_2023-04-29_final
2023-05-15 09:34:19	ga_ls8c_ard_3-2-1_092090_2023-05-15_final
2023-05-17 09:21:57	ga_ls8c_ard_3-2-1_090090_2023-05-16_final
2023-05-24 09:28:10	ga_ls8c_ard_3-2-1_091090_2023-05-23_final
2023-05-26 09:15:49	ga_ls8c_ard_3-2-1_089090_2023-05-25_final
2023-06-09 09:28:17	ga_ls8c_ard_3-2-1_091090_2023-06-08_final
2023-06-27 09:16:03	ga_ls8c_ard_3-2-1_089090_2023-06-26_final
2023-07-02 09:34:40	ga_ls8c_ard_3-2-1_092090_2023-07-02_final
2023-07-04 09:22:20	ga_ls8c_ard_3-2-1_090090_2023-07-03_final
2023-07-11 09:28:34	ga_ls8c_ard_3-2-1_091090_2023-07-10_final
2023-07-13 09:16:13	ga_ls8c_ard_3-2-1_089090_2023-07-12_final
2023-07-18 09:34:45	ga_ls8c_ard_3-2-1_092090_2023-07-18_final
2023-07-20 09:22:23	ga_ls8c_ard_3-2-1_090090_2023-07-19_final
2023-07-27 09:28:40	ga_ls8c_ard_3-2-1_091090_2023-07-26_final
2023-07-29 09:16:19	ga_ls8c_ard_3-2-1_089090_2023-07-28_final
2023-08-03 09:34:54	ga_ls8c_ard_3-2-1_092090_2023-08-03_final
2023-08-05 09:22:33	ga_ls8c_ard_3-2-1_090090_2023-08-04_final
2023-10-01 09:16:38	ga_ls8c_ard_3-2-1_089090_2023-09-30_final
2023-10-06 09:35:09	ga_ls8c_ard_3-2-1_092090_2023-10-06_final
2023-10-08 09:22:49	ga_ls8c_ard_3-2-1_090090_2023-10-07_final
2023-10-08 09:23:13	ga_ls8c_ard_3-2-1_090091_2023-10-07_final
2023-10-15 09:29:02	ga_ls8c_ard_3-2-1_091090_2023-10-14_final
2023-10-15 09:29:02	ga_ls8c_ard_3-2-1_091090_2023-10-14_nrt
2023-10-17 09:16:40	ga_ls8c_ard_3-2-1_089090_2023-10-16_final
2023-10-22 09:35:13	ga_ls8c_ard_3-2-1_092090_2023-10-22_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