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
2013-08-02 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
2013-12-08 09:18:07	ga_ls8c_ard_3-0-0_089090_2013-12-07_final
2014-01-16 09:23:50	ga_ls8c_ard_3-0-0_090090_2014-01-15_final
2014-01-23 09:30:00	ga_ls8c_ard_3-0-0_091090_2014-01-23_final
2014-05-17 09:16:02	ga_ls8c_ard_3-0-0_089090_2014-05-16_final
2014-06-25 09:22:24	ga_ls8c_ard_3-0-0_090090_2014-06-24_final
2015-02-04 09:22:37	ga_ls8c_ard_3-0-0_090090_2015-02-03_final
2015-04-16 09:28:39	ga_ls8c_ard_3-0-0_091091_2015-04-15_final
2015-04-25 09:22:25	ga_ls8c_ard_3-0-0_090091_2015-04-24_final
2015-05-18 09:27:54	ga_ls8c_ard_3-0-0_091090_2015-05-17_final
2015-06-12 09:22:21	ga_ls8c_ard_3-0-0_090091_2015-06-11_final
2015-06-21 09:15:49	ga_ls8c_ard_3-0-0_089090_2015-06-20_final
2016-05-22 09:16:07	ga_ls8c_ard_3-0-0_089090_2016-05-21_final
2016-05-27 09:34:41	ga_ls8c_ard_3-0-0_092090_2016-05-27_final
2016-05-29 09:22:20	ga_ls8c_ard_3-0-0_090090_2016-05-28_final
2016-05-29 09:22:44	ga_ls8c_ard_3-0-0_090091_2016-05-28_final
2016-06-07 09:16:11	ga_ls8c_ard_3-0-0_089090_2016-06-06_final
2016-06-12 09:34:44	ga_ls8c_ard_3-0-0_092090_2016-06-12_final
2016-06-14 09:22:23	ga_ls8c_ard_3-0-0_090090_2016-06-13_final
2016-06-14 09:22:47	ga_ls8c_ard_3-0-0_090091_2016-06-13_final
2016-06-21 09:28:37	ga_ls8c_ard_3-0-0_091090_2016-06-20_final
2016-06-21 09:29:01	ga_ls8c_ard_3-0-0_091091_2016-06-20_final
2016-06-23 09:16:16	ga_ls8c_ard_3-0-0_089090_2016-06-22_final
2016-07-07 09:28:46	ga_ls8c_ard_3-0-0_091090_2016-07-06_final
2016-07-07 09:29:10	ga_ls8c_ard_3-0-0_091091_2016-07-06_final
2016-07-09 09:16:25	ga_ls8c_ard_3-0-0_089090_2016-07-08_final
2016-07-14 09:35:00	ga_ls8c_ard_3-0-0_092090_2016-07-14_final
2016-08-08 09:28:54	ga_ls8c_ard_3-0-0_091090_2016-08-07_final
2016-08-08 09:29:18	ga_ls8c_ard_3-0-0_091091_2016-08-07_final
2016-08-10 09:16:32	ga_ls8c_ard_3-0-0_089090_2016-08-09_final
2016-08-15 09:35:07	ga_ls8c_ard_3-0-0_092090_2016-08-15_final
2016-08-17 09:22:46	ga_ls8c_ard_3-0-0_090090_2016-08-16_final
2016-08-17 09:23:10	ga_ls8c_ard_3-0-0_090091_2016-08-16_final
2016-08-24 09:29:00	ga_ls8c_ard_3-0-0_091090_2016-08-23_final
2016-08-24 09:29:24	ga_ls8c_ard_3-0-0_091091_2016-08-23_final
2016-08-26 09:16:39	ga_ls8c_ard_3-0-0_089090_2016-08-25_final
2016-08-31 09:35:14	ga_ls8c_ard_3-0-0_092090_2016-08-31_final
2016-09-02 09:22:53	ga_ls8c_ard_3-0-0_090090_2016-09-01_final
2016-09-02 09:23:17	ga_ls8c_ard_3-0-0_090091_2016-09-01_final
2016-09-09 09:29:05	ga_ls8c_ard_3-0-0_091090_2016-09-08_final
2016-09-09 09:29:29	ga_ls8c_ard_3-0-0_091091_2016-09-08_final
2016-09-11 09:16:44	ga_ls8c_ard_3-0-0_089090_2016-09-10_final
2016-09-25 09:29:06	ga_ls8c_ard_3-0-0_091090_2016-09-24_final
2016-09-25 09:29:30	ga_ls8c_ard_3-0-0_091091_2016-09-24_final
2016-09-27 09:16:44	ga_ls8c_ard_3-0-0_089090_2016-09-26_final
2016-10-02 09:35:18	ga_ls8c_ard_3-0-0_092090_2016-10-02_final
2016-10-04 09:22:57	ga_ls8c_ard_3-0-0_090090_2016-10-03_final
2016-10-04 09:23:21	ga_ls8c_ard_3-0-0_090091_2016-10-03_final
2018-03-07 09:28:55	ga_ls8c_ard_3-0-0_091091_2018-03-06_final
2018-05-10 09:28:20	ga_ls8c_ard_3-0-0_091091_2018-05-09_final
2018-05-26 09:28:08	ga_ls8c_ard_3-0-0_091091_2018-05-25_final
2019-07-09 09:22:37	ga_ls8c_ard_3-1-0_090090_2019-07-08_final
2019-07-09 09:23:01	ga_ls8c_ard_3-1-0_090091_2019-07-08_final
2019-07-18 09:16:27	ga_ls8c_ard_3-1-0_089090_2019-07-17_final
2019-08-01 09:28:55	ga_ls8c_ard_3-1-0_091090_2019-07-31_final
2019-08-01 09:29:19	ga_ls8c_ard_3-1-0_091091_2019-07-31_final
2019-08-26 09:22:52	ga_ls8c_ard_3-1-0_090090_2019-08-25_final
2019-08-26 09:23:16	ga_ls8c_ard_3-1-0_090091_2019-08-25_final
2019-09-02 09:29:04	ga_ls8c_ard_3-1-0_091090_2019-09-01_final
2019-09-02 09:29:28	ga_ls8c_ard_3-1-0_091091_2019-09-01_final
2019-09-04 09:16:43	ga_ls8c_ard_3-1-0_089090_2019-09-03_final
2019-09-09 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-09-09_final
2019-09-11 09:22:56	ga_ls8c_ard_3-1-0_090090_2019-09-10_final
2019-09-11 09:23:20	ga_ls8c_ard_3-1-0_090091_2019-09-10_final
2019-09-20 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-09-19_final
2019-09-27 09:23:01	ga_ls8c_ard_3-1-0_090090_2019-09-26_final
2019-09-27 09:23:25	ga_ls8c_ard_3-1-0_090091_2019-09-26_final
2019-10-29 09:23:05	ga_ls8c_ard_3-1-0_090090_2019-10-28_final
2019-10-29 09:23:29	ga_ls8c_ard_3-1-0_090091_2019-10-28_final
2019-11-05 09:29:15	ga_ls8c_ard_3-1-0_091090_2019-11-04_final
2019-11-05 09:29:39	ga_ls8c_ard_3-1-0_091091_2019-11-04_final
2019-11-07 09:16:53	ga_ls8c_ard_3-1-0_089090_2019-11-06_final
2019-11-14 09:23:26	ga_ls8c_ard_3-1-0_090091_2019-11-13_final
2020-06-02 09:16:01	ga_ls8c_ard_3-1-0_089090_2020-06-01_final
2020-06-09 09:22:16	ga_ls8c_ard_3-1-0_090090_2020-06-08_final
2020-06-09 09:22:40	ga_ls8c_ard_3-1-0_090091_2020-06-08_final
2020-06-16 09:28:31	ga_ls8c_ard_3-1-0_091090_2020-06-15_final
2020-06-16 09:28:55	ga_ls8c_ard_3-1-0_091091_2020-06-15_final
2020-06-25 09:22:25	ga_ls8c_ard_3-1-0_090090_2020-06-24_final
2020-06-25 09:22:49	ga_ls8c_ard_3-1-0_090091_2020-06-24_final
2020-07-02 09:28:39	ga_ls8c_ard_3-1-0_091090_2020-07-01_final
2020-07-02 09:29:03	ga_ls8c_ard_3-1-0_091091_2020-07-01_final
2020-07-04 09:16:18	ga_ls8c_ard_3-1-0_089090_2020-07-03_final
2020-07-09 09:34:53	ga_ls8c_ard_3-1-0_092090_2020-07-09_final
2020-07-11 09:22:32	ga_ls8c_ard_3-1-0_090090_2020-07-10_final
2020-07-11 09:22:56	ga_ls8c_ard_3-1-0_090091_2020-07-10_final
2020-07-18 09:28:45	ga_ls8c_ard_3-1-0_091090_2020-07-17_final
2020-07-18 09:29:09	ga_ls8c_ard_3-1-0_091091_2020-07-17_final
2020-07-20 09:16:24	ga_ls8c_ard_3-1-0_089090_2020-07-19_final
2020-07-25 09:34:58	ga_ls8c_ard_3-1-0_092090_2020-07-25_final
2020-07-27 09:22:37	ga_ls8c_ard_3-1-0_090090_2020-07-26_final
2020-07-27 09:23:01	ga_ls8c_ard_3-1-0_090091_2020-07-26_final
2020-08-12 09:22:40	ga_ls8c_ard_3-1-0_090090_2020-08-11_final
2020-08-12 09:23:04	ga_ls8c_ard_3-1-0_090091_2020-08-11_final
2020-08-21 09:16:34	ga_ls8c_ard_3-1-0_089090_2020-08-20_final
2020-08-28 09:22:49	ga_ls8c_ard_3-1-0_090090_2020-08-27_final
2020-08-28 09:23:13	ga_ls8c_ard_3-1-0_090091_2020-08-27_final
2020-09-04 09:29:03	ga_ls8c_ard_3-1-0_091090_2020-09-03_final
2020-09-04 09:29:27	ga_ls8c_ard_3-1-0_091091_2020-09-03_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