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
2015-12-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2015-12-19_final
2015-12-21 09:22:50	ga_ls8c_ard_3-0-0_090090_2015-12-20_final
2015-12-21 09:23:14	ga_ls8c_ard_3-0-0_090091_2015-12-20_final
2015-12-28 09:29:00	ga_ls8c_ard_3-0-0_091090_2015-12-27_final
2015-12-28 09:29:24	ga_ls8c_ard_3-0-0_091091_2015-12-27_final
2016-01-06 09:22:45	ga_ls8c_ard_3-0-0_090090_2016-01-05_final
2016-01-06 09:23:09	ga_ls8c_ard_3-0-0_090091_2016-01-05_final
2016-01-13 09:28:57	ga_ls8c_ard_3-0-0_091090_2016-01-12_final
2016-01-13 09:29:21	ga_ls8c_ard_3-0-0_091091_2016-01-12_final
2016-02-05 09:35:05	ga_ls8c_ard_3-0-0_092090_2016-02-05_final
2016-02-07 09:22:42	ga_ls8c_ard_3-0-0_090090_2016-02-06_final
2016-02-07 09:23:06	ga_ls8c_ard_3-0-0_090091_2016-02-06_final
2016-02-14 09:29:13	ga_ls8c_ard_3-0-0_091091_2016-02-13_final
2016-02-23 09:22:35	ga_ls8c_ard_3-0-0_090090_2016-02-22_final
2016-02-23 09:22:59	ga_ls8c_ard_3-0-0_090091_2016-02-22_final
2016-03-01 09:28:46	ga_ls8c_ard_3-0-0_091090_2016-02-29_final
2016-03-01 09:29:10	ga_ls8c_ard_3-0-0_091091_2016-02-29_final
2016-03-10 09:22:57	ga_ls8c_ard_3-0-0_090091_2016-03-09_final
2016-03-17 09:29:05	ga_ls8c_ard_3-0-0_091091_2016-03-16_final
2016-03-26 09:22:48	ga_ls8c_ard_3-0-0_090091_2016-03-25_final
2016-04-02 09:28:55	ga_ls8c_ard_3-0-0_091091_2016-04-01_final
2016-04-04 09:16:09	ga_ls8c_ard_3-0-0_089090_2016-04-03_final
2016-04-25 09:34:33	ga_ls8c_ard_3-0-0_092090_2016-04-25_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-05-04 09:28:53	ga_ls8c_ard_3-0-0_091091_2016-05-03_final
2016-11-21 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-11-20_final
2016-11-21 09:23:26	ga_ls8c_ard_3-0-0_090091_2016-11-20_final
2017-09-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2017-09-19_final
2017-09-28 09:29:05	ga_ls8c_ard_3-0-0_091090_2017-09-27_final
2017-09-28 09:29:29	ga_ls8c_ard_3-0-0_091091_2017-09-27_final
2017-10-05 09:35:18	ga_ls8c_ard_3-0-0_092090_2017-10-05_final
2017-10-23 09:22:59	ga_ls8c_ard_3-0-0_090090_2017-10-22_final
2017-10-23 09:23:23	ga_ls8c_ard_3-0-0_090091_2017-10-22_final
2017-10-30 09:29:10	ga_ls8c_ard_3-0-0_091090_2017-10-29_final
2017-10-30 09:29:34	ga_ls8c_ard_3-0-0_091091_2017-10-29_final
2017-11-08 09:22:58	ga_ls8c_ard_3-0-0_090090_2017-11-07_final
2017-11-08 09:23:22	ga_ls8c_ard_3-0-0_090091_2017-11-07_final
2017-11-15 09:29:07	ga_ls8c_ard_3-0-0_091090_2017-11-14_final
2017-11-15 09:29:31	ga_ls8c_ard_3-0-0_091091_2017-11-14_final
2017-12-01 09:29:01	ga_ls8c_ard_3-0-0_091090_2017-11-30_final
2017-12-01 09:29:25	ga_ls8c_ard_3-0-0_091091_2017-11-30_final
2017-12-03 09:16:39	ga_ls8c_ard_3-0-0_089090_2017-12-02_final
2017-12-17 09:29:27	ga_ls8c_ard_3-0-0_091091_2017-12-16_final
2018-01-02 09:29:01	ga_ls8c_ard_3-1-0_091090_2018-01-01_final
2018-01-02 09:29:25	ga_ls8c_ard_3-0-0_091091_2018-01-01_final
2018-01-18 09:28:54	ga_ls8c_ard_3-0-0_091090_2018-01-17_final
2018-01-18 09:29:18	ga_ls8c_ard_3-0-0_091091_2018-01-17_final
2018-02-03 09:28:44	ga_ls8c_ard_3-0-0_091090_2018-02-02_final
2018-02-03 09:29:08	ga_ls8c_ard_3-0-0_091091_2018-02-02_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
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
2020-05-31 09:28:21	ga_ls8c_ard_3-1-0_091090_2020-05-30_final
2020-05-31 09:28:45	ga_ls8c_ard_3-1-0_091091_2020-05-30_final
2020-06-02 09:16:01	ga_ls8c_ard_3-1-0_089090_2020-06-01_final
2020-06-07 09:34:37	ga_ls8c_ard_3-1-0_092090_2020-06-07_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
2020-06-18 09:16:11	ga_ls8c_ard_3-1-0_089090_2020-06-17_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
2020-08-03 09:28:49	ga_ls8c_ard_3-1-0_091090_2020-08-02_final
2020-08-03 09:29:13	ga_ls8c_ard_3-1-0_091091_2020-08-02_final
2020-08-05 09:16:28	ga_ls8c_ard_3-1-0_089090_2020-08-04_final
2020-08-10 09:35:01	ga_ls8c_ard_3-1-0_092090_2020-08-10_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
2020-08-19 09:28:55	ga_ls8c_ard_3-1-0_091090_2020-08-18_final
2020-08-19 09:29:19	ga_ls8c_ard_3-1-0_091091_2020-08-18_final
2020-08-21 09:16:34	ga_ls8c_ard_3-1-0_089090_2020-08-20_final
2020-08-26 09:35:09	ga_ls8c_ard_3-1-0_092090_2020-08-26_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
2020-09-06 09:16:42	ga_ls8c_ard_3-1-0_089090_2020-09-05_final
2020-09-13 09:22:55	ga_ls8c_ard_3-1-0_090090_2020-09-12_final
2020-09-13 09:23:19	ga_ls8c_ard_3-1-0_090091_2020-09-12_final
2020-09-20 09:29:08	ga_ls8c_ard_3-1-0_091090_2020-09-19_final
2020-09-20 09:29:32	ga_ls8c_ard_3-1-0_091091_2020-09-19_final
2020-10-08 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-07_final
2020-11-30 09:35:24	ga_ls8c_ard_3-1-0_092090_2020-11-30_final
2020-12-02 09:23:02	ga_ls8c_ard_3-1-0_090090_2020-12-01_final
2020-12-02 09:23:26	ga_ls8c_ard_3-1-0_090091_2020-12-01_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