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:

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First 100 results (query limit)

Time (local)	Label
2014-02-24 09:29:36	ga_ls8c_ard_3-0-0_091090_2014-02-23_final
2014-05-17 09:16:02	ga_ls8c_ard_3-0-0_089090_2014-05-16_final
2014-06-09 09:22:22	ga_ls8c_ard_3-0-0_090090_2014-06-08_final
2014-07-02 09:28:39	ga_ls8c_ard_3-0-0_091090_2014-07-01_final
2014-07-04 09:16:18	ga_ls8c_ard_3-0-0_089090_2014-07-03_final
2014-07-11 09:22:33	ga_ls8c_ard_3-0-0_090090_2014-07-10_final
2014-12-02 09:22:53	ga_ls8c_ard_3-0-0_090090_2014-12-01_final
2014-12-18 09:22:48	ga_ls8c_ard_3-0-0_090090_2014-12-17_final
2014-12-27 09:16:35	ga_ls8c_ard_3-0-0_089090_2014-12-26_final
2015-01-03 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-01-02_final
2015-01-10 09:28:55	ga_ls8c_ard_3-0-0_091090_2015-01-09_final
2015-01-19 09:22:41	ga_ls8c_ard_3-0-0_090090_2015-01-18_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
2015-02-20 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-02-19_final
2015-03-15 09:28:28	ga_ls8c_ard_3-0-0_091090_2015-03-14_final
2015-10-18 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-10-17_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
2016-10-20 09:23:02	ga_ls8c_ard_3-0-0_090090_2016-10-19_final
2016-10-20 09:23:26	ga_ls8c_ard_3-0-0_090091_2016-10-19_final
2016-11-19 09:35:23	ga_ls8c_ard_3-0-0_092090_2016-11-19_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
2016-12-16 09:16:46	ga_ls8c_ard_3-0-0_089090_2016-12-15_final
2017-01-15 09:29:02	ga_ls8c_ard_3-0-0_091090_2017-01-14_final
2017-01-15 09:29:26	ga_ls8c_ard_3-0-0_091091_2017-01-14_final
2017-01-17 09:16:39	ga_ls8c_ard_3-0-0_089090_2017-01-16_final
2017-02-02 09:16:32	ga_ls8c_ard_3-0-0_089090_2017-02-01_final
2017-03-06 09:16:19	ga_ls8c_ard_3-0-0_089090_2017-03-05_final
2018-05-01 09:34:13	ga_ls8c_ard_3-0-0_092090_2018-05-01_final
2019-02-06 09:28:38	ga_ls8c_ard_3-0-0_091090_2019-02-05_final
2019-02-06 09:29:02	ga_ls8c_ard_3-0-0_091091_2019-02-05_final
2019-02-08 09:16:16	ga_ls8c_ard_3-0-0_089090_2019-02-07_final
2019-03-12 09:16:07	ga_ls8c_ard_3-1-0_089090_2019-03-11_final
2019-04-04 09:22:13	ga_ls8c_ard_3-1-0_090090_2019-04-03_final
2019-04-04 09:22:37	ga_ls8c_ard_3-1-0_090091_2019-04-03_final
2019-04-27 09:28:16	ga_ls8c_ard_3-0-0_091090_2019-04-26_final
2019-04-27 09:28:40	ga_ls8c_ard_3-0-0_091091_2019-04-26_final
2019-05-29 09:28:34	ga_ls8c_ard_3-0-0_091090_2019-05-28_final
2019-05-29 09:28:58	ga_ls8c_ard_3-0-0_091091_2019-05-28_final
2019-11-12 09:35:24	ga_ls8c_ard_3-1-0_092090_2019-11-12_final
2019-11-14 09:23:02	ga_ls8c_ard_3-1-0_090090_2019-11-13_final
2019-11-14 09:23:26	ga_ls8c_ard_3-1-0_090091_2019-11-13_final
2019-11-21 09:29:11	ga_ls8c_ard_3-1-0_091090_2019-11-20_final
2019-11-21 09:29:35	ga_ls8c_ard_3-1-0_091091_2019-11-20_final
2019-11-23 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-11-22_final
2019-11-28 09:35:22	ga_ls8c_ard_3-1-0_092090_2019-11-28_final
2019-11-30 09:23:00	ga_ls8c_ard_3-1-0_090090_2019-11-29_final
2019-11-30 09:23:24	ga_ls8c_ard_3-1-0_090091_2019-11-29_final
2019-12-09 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-12-08_final
2019-12-14 09:35:21	ga_ls8c_ard_3-2-0_092090_2019-12-14_final
2019-12-16 09:22:59	ga_ls8c_ard_3-2-0_090090_2019-12-15_final
2019-12-16 09:23:23	ga_ls8c_ard_3-2-0_090091_2019-12-15_final
2019-12-23 09:29:08	ga_ls8c_ard_3-1-0_091090_2019-12-22_final
2019-12-23 09:29:32	ga_ls8c_ard_3-1-0_091091_2019-12-22_final
2019-12-25 09:16:46	ga_ls8c_ard_3-1-0_089090_2019-12-24_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-01-10 09:16:42	ga_ls8c_ard_3-1-0_089090_2020-01-09_final
2020-01-15 09:35:13	ga_ls8c_ard_3-1-0_092090_2020-01-15_final
2020-01-17 09:22:51	ga_ls8c_ard_3-1-0_090090_2020-01-16_final
2020-01-17 09:23:15	ga_ls8c_ard_3-1-0_090091_2020-01-16_final
2020-01-26 09:16:38	ga_ls8c_ard_3-1-0_089090_2020-01-25_final
2020-01-31 09:35:08	ga_ls8c_ard_3-1-0_092090_2020-01-31_final
2020-02-02 09:22:46	ga_ls8c_ard_3-1-0_090090_2020-02-01_final
2020-02-02 09:23:10	ga_ls8c_ard_3-1-0_090091_2020-02-01_final
2020-02-11 09:16:33	ga_ls8c_ard_3-1-0_089090_2020-02-10_final
2020-02-18 09:23:06	ga_ls8c_ard_3-1-0_090091_2020-02-17_final
2020-02-25 09:28:51	ga_ls8c_ard_3-1-0_091090_2020-02-24_final
2020-02-25 09:29:15	ga_ls8c_ard_3-1-0_091091_2020-02-24_final
2020-03-05 09:22:37	ga_ls8c_ard_3-1-0_090090_2020-03-04_final
2020-03-05 09:23:01	ga_ls8c_ard_3-1-0_090091_2020-03-04_final
2020-04-06 09:22:21	ga_ls8c_ard_3-1-0_090090_2020-04-05_final
2020-04-06 09:22:45	ga_ls8c_ard_3-1-0_090091_2020-04-05_final
2020-04-20 09:34:37	ga_ls8c_ard_3-1-0_092090_2020-04-20_final
2020-04-22 09:22:14	ga_ls8c_ard_3-1-0_090090_2020-04-21_final
2020-04-22 09:22:38	ga_ls8c_ard_3-1-0_090091_2020-04-21_final
2020-04-29 09:28:45	ga_ls8c_ard_3-1-0_091091_2020-04-28_final
2020-05-01 09:15:58	ga_ls8c_ard_3-1-0_089090_2020-04-30_final
2020-05-08 09:22:29	ga_ls8c_ard_3-1-0_090091_2020-05-07_final
2020-05-17 09:15:56	ga_ls8c_ard_3-1-0_089090_2020-05-16_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
2020-06-23 09:34:46	ga_ls8c_ard_3-1-0_092090_2020-06-23_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
2020-07-18 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
2020-07-25 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
2020-09-11 09:35:16	ga_ls8c_ard_3-1-0_092090_2020-09-11_final
2020-09-22 09:16:47	ga_ls8c_ard_3-1-0_089090_2020-09-21_final
2020-09-27 09:35:21	ga_ls8c_ard_3-1-0_092090_2020-09-27_final
2020-09-29 09:23:00	ga_ls8c_ard_3-1-0_090090_2020-09-28_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