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
2013-07-08 09:24:40	ga_ls8c_ard_3-0-0_090090_2013-07-07_final
2013-07-24 09:24:39	ga_ls8c_ard_3-0-0_090090_2013-07-23_final
2013-07-31 09:30:52	ga_ls8c_ard_3-0-0_091090_2013-07-31_final
2013-08-02 09:18:31	ga_ls8c_ard_3-0-0_089090_2013-08-01_final
2013-08-16 09:30:52	ga_ls8c_ard_3-0-0_091090_2013-08-16_final
2013-08-18 09:18:31	ga_ls8c_ard_3-0-0_089090_2013-08-17_final
2013-09-01 09:30:55	ga_ls8c_ard_3-0-0_091090_2013-09-01_final
2013-09-17 09:30:50	ga_ls8c_ard_3-0-0_091090_2013-09-17_final
2013-09-19 09:18:27	ga_ls8c_ard_3-0-0_089090_2013-09-18_final
2013-10-12 09:24:34	ga_ls8c_ard_3-0-0_090090_2013-10-11_final
2013-10-28 09:24:24	ga_ls8c_ard_3-0-0_090090_2013-10-27_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
2014-02-24 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
2014-05-24 09:22:11	ga_ls8c_ard_3-0-0_090090_2014-05-23_final
2014-06-02 09:16:07	ga_ls8c_ard_3-0-0_089090_2014-06-01_final
2014-06-18 09:16:13	ga_ls8c_ard_3-0-0_089090_2014-06-17_final
2014-06-25 09:22:24	ga_ls8c_ard_3-0-0_090090_2014-06-24_final
2014-10-15 09:22:55	ga_ls8c_ard_3-0-0_090090_2014-10-14_final
2014-10-24 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-10-23_final
2014-11-25 09:16:41	ga_ls8c_ard_3-0-0_089090_2014-11-24_final
2015-01-19 09:22:41	ga_ls8c_ard_3-0-0_090090_2015-01-18_final
2015-02-20 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-02-19_final
2015-04-25 09:22:25	ga_ls8c_ard_3-0-0_090091_2015-04-24_final
2015-05-20 09:15:33	ga_ls8c_ard_3-0-0_089090_2015-05-19_final
2015-05-25 09:34:07	ga_ls8c_ard_3-0-0_092090_2015-05-25_final
2015-06-03 09:28:01	ga_ls8c_ard_3-0-0_091090_2015-06-02_final
2015-06-03 09:28:25	ga_ls8c_ard_3-0-0_091091_2015-06-02_final
2015-06-05 09:15:41	ga_ls8c_ard_3-0-0_089090_2015-06-04_final
2015-06-10 09:34:17	ga_ls8c_ard_3-0-0_092090_2015-06-10_final
2015-06-12 09:22:21	ga_ls8c_ard_3-0-0_090091_2015-06-11_final
2015-06-19 09:28:10	ga_ls8c_ard_3-0-0_091090_2015-06-18_final
2015-06-19 09:28:34	ga_ls8c_ard_3-0-0_091091_2015-06-18_final
2017-09-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2017-09-19_final
2017-09-21 09:22:51	ga_ls8c_ard_3-0-0_090090_2017-09-20_final
2017-09-21 09:23:15	ga_ls8c_ard_3-0-0_090091_2017-09-20_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
2017-10-14 09:29:09	ga_ls8c_ard_3-0-0_091090_2017-10-13_final
2017-10-14 09:29:33	ga_ls8c_ard_3-0-0_091091_2017-10-13_final
2017-10-16 09:16:48	ga_ls8c_ard_3-0-0_089090_2017-10-15_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
2017-11-17 09:16:45	ga_ls8c_ard_3-0-0_089090_2017-11-16_final
2017-11-24 09:23:17	ga_ls8c_ard_3-0-0_090091_2017-11-23_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
2017-12-19 09:16:42	ga_ls8c_ard_3-0-0_089090_2017-12-18_final
2017-12-26 09:22:52	ga_ls8c_ard_3-0-0_090090_2017-12-25_final
2017-12-26 09:23:16	ga_ls8c_ard_3-0-0_090091_2017-12-25_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
2018-01-04 09:16:38	ga_ls8c_ard_3-0-0_089090_2018-01-03_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
2018-01-20 09:16:31	ga_ls8c_ard_3-0-0_089090_2018-01-19_final
2018-02-12 09:22:31	ga_ls8c_ard_3-0-0_090090_2018-02-11_final
2018-02-12 09:22:55	ga_ls8c_ard_3-0-0_090091_2018-02-11_final
2018-02-28 09:22:24	ga_ls8c_ard_3-0-0_090090_2018-02-27_final
2018-02-28 09:22:48	ga_ls8c_ard_3-0-0_090091_2018-02-27_final
2018-03-16 09:22:39	ga_ls8c_ard_3-0-0_090091_2018-03-15_final
2018-04-17 09:22:23	ga_ls8c_ard_3-0-0_090091_2018-04-16_final
2018-05-19 09:22:03	ga_ls8c_ard_3-0-0_090091_2018-05-18_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
2018-06-20 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
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-01-24 09:29:00	ga_ls8c_ard_3-1-0_091090_2020-01-23_final
2020-01-24 09:29:24	ga_ls8c_ard_3-1-0_091091_2020-01-23_final
2020-01-31 09:35:08	ga_ls8c_ard_3-1-0_092090_2020-01-31_final
2020-02-16 09:35:05	ga_ls8c_ard_3-1-0_092090_2020-02-16_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
2022-11-29 09:29:26	ga_ls8c_ard_3-2-1_091090_2022-11-28_final
2022-12-06 09:35:36	ga_ls8c_ard_3-2-1_092090_2022-12-06_final
2022-12-08 09:23:14	ga_ls8c_ard_3-2-1_090090_2022-12-07_final
2022-12-08 09:23:38	ga_ls8c_ard_3-2-1_090091_2022-12-07_final
2022-12-15 09:29:21	ga_ls8c_ard_3-2-1_091090_2022-12-14_final
2022-12-17 09:16:58	ga_ls8c_ard_3-2-1_089090_2022-12-16_final
2022-12-24 09:23:04	ga_ls8c_ard_3-2-1_090090_2022-12-23_final
2022-12-24 09:23:28	ga_ls8c_ard_3-2-1_090091_2022-12-23_final
2022-12-31 09:29:17	ga_ls8c_ard_3-2-1_091090_2022-12-30_final
2023-02-17 09:29:06	ga_ls8c_ard_3-2-1_091090_2023-02-16_final
2023-02-24 09:35:07	ga_ls8c_ard_3-2-1_092090_2023-02-24_final
2023-02-26 09:23:08	ga_ls8c_ard_3-2-1_090091_2023-02-25_final
2023-03-05 09:28:54	ga_ls8c_ard_3-2-1_091090_2023-03-04_final
2023-06-09 09:28:17	ga_ls8c_ard_3-2-1_091090_2023-06-08_final
2023-06-18 09:22:09	ga_ls8c_ard_3-2-1_090090_2023-06-17_final
2023-06-18 09:22:33	ga_ls8c_ard_3-2-1_090091_2023-06-17_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