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
2013-07-24 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
2014-03-12 09:29:24	ga_ls8c_ard_3-0-0_091090_2014-03-11_final
2014-04-15 09:16:29	ga_ls8c_ard_3-0-0_089090_2014-04-14_final
2014-07-11 09:22:33	ga_ls8c_ard_3-0-0_090090_2014-07-10_final
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-07-27 09:22:35	ga_ls8c_ard_3-0-0_090090_2014-07-26_final
2014-08-05 09:16:31	ga_ls8c_ard_3-0-0_089090_2014-08-04_final
2014-08-12 09:22:44	ga_ls8c_ard_3-0-0_090090_2014-08-11_final
2014-08-21 09:16:35	ga_ls8c_ard_3-0-0_089090_2014-08-20_final
2014-09-04 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-03_final
2014-10-15 09:22:55	ga_ls8c_ard_3-0-0_090090_2014-10-14_final
2014-11-09 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-11-08_final
2014-11-23 09:29:02	ga_ls8c_ard_3-0-0_091090_2014-11-22_final
2015-12-30 09:16:37	ga_ls8c_ard_3-0-0_089090_2015-12-29_final
2016-02-05 09:35:05	ga_ls8c_ard_3-0-0_092090_2016-02-05_final
2016-02-16 09:16:26	ga_ls8c_ard_3-0-0_089090_2016-02-15_final
2016-03-08 09:34:55	ga_ls8c_ard_3-0-0_092090_2016-03-08_final
2016-03-24 09:34:48	ga_ls8c_ard_3-0-0_092090_2016-03-24_final
2016-04-04 09:16:09	ga_ls8c_ard_3-0-0_089090_2016-04-03_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
2016-06-12 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
2016-06-28 09:34:52	ga_ls8c_ard_3-0-0_092090_2016-06-28_final
2016-07-25 09:16:30	ga_ls8c_ard_3-0-0_089090_2016-07-24_final
2017-09-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2017-09-19_final
2017-10-21 09:35:21	ga_ls8c_ard_3-0-0_092090_2017-10-21_final
2017-10-23 09:22:59	ga_ls8c_ard_3-0-0_090090_2017-10-22_final
2017-11-17 09:16:45	ga_ls8c_ard_3-0-0_089090_2017-11-16_final
2017-11-22 09:35:15	ga_ls8c_ard_3-0-0_092090_2017-11-22_final
2017-11-24 09:22:53	ga_ls8c_ard_3-0-0_090090_2017-11-23_final
2017-12-08 09:35:12	ga_ls8c_ard_3-0-0_092090_2017-12-08_final
2017-12-24 09:35:14	ga_ls8c_ard_3-0-0_092090_2017-12-24_final
2017-12-26 09:22:52	ga_ls8c_ard_3-0-0_090090_2017-12-25_final
2018-01-09 09:35:09	ga_ls8c_ard_3-0-0_092090_2018-01-09_final
2018-01-11 09:22:46	ga_ls8c_ard_3-0-0_090090_2018-01-10_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
2018-06-27 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
2018-07-13 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
2018-07-29 09:28:08	ga_ls8c_ard_3-0-0_091090_2018-07-28_final
2018-07-29 09:28:32	ga_ls8c_ard_3-0-0_091091_2018-07-28_final
2018-08-14 09:28:17	ga_ls8c_ard_3-0-0_091090_2018-08-13_final
2018-08-30 09:28:24	ga_ls8c_ard_3-0-0_091090_2018-08-29_final
2018-08-30 09:28:48	ga_ls8c_ard_3-0-0_091091_2018-08-29_final
2019-01-07 09:16:22	ga_ls8c_ard_3-0-0_089090_2019-01-06_final
2019-11-07 09:16:53	ga_ls8c_ard_3-1-0_089090_2019-11-06_final
2019-11-21 09:29:11	ga_ls8c_ard_3-1-0_091090_2019-11-20_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
2019-12-09 09:16:49	ga_ls8c_ard_3-1-0_089090_2019-12-08_final
2019-12-23 09:29:08	ga_ls8c_ard_3-1-0_091090_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
2020-01-31 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
2020-02-18 09:22:42	ga_ls8c_ard_3-1-0_090090_2020-02-17_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
2020-07-18 09:28:45	ga_ls8c_ard_3-1-0_091090_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
2020-08-05 09:16:28	ga_ls8c_ard_3-1-0_089090_2020-08-04_final
2020-08-12 09:22:40	ga_ls8c_ard_3-1-0_090090_2020-08-11_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
2020-09-04 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
2020-09-11 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
2021-02-11 09:28:58	ga_ls8c_ard_3-2-0_091090_2021-02-10_final
2021-02-13 09:16:36	ga_ls8c_ard_3-2-0_089090_2021-02-12_final
2021-02-18 09:35:06	ga_ls8c_ard_3-2-0_092090_2021-02-18_final
2021-02-20 09:22:44	ga_ls8c_ard_3-2-0_090090_2021-02-19_final
2021-03-06 09:34:59	ga_ls8c_ard_3-2-0_092090_2021-03-06_final
2021-03-08 09:22:37	ga_ls8c_ard_3-2-0_090090_2021-03-07_final
2021-03-15 09:28:43	ga_ls8c_ard_3-2-0_091090_2021-03-14_final
2021-04-23 09:34:40	ga_ls8c_ard_3-2-0_092090_2021-04-23_final
2021-08-31 09:22:54	ga_ls8c_ard_3-2-0_090090_2021-08-30_final
2021-08-31 09:23:18	ga_ls8c_ard_3-2-0_090091_2021-08-30_final
2021-09-07 09:29:07	ga_ls8c_ard_3-2-0_091090_2021-09-06_final
2021-09-07 09:29:31	ga_ls8c_ard_3-2-0_091091_2021-09-06_final
2021-09-09 09:16:46	ga_ls8c_ard_3-2-0_089090_2021-09-08_final
2021-09-25 09:16:49	ga_ls8c_ard_3-2-0_089090_2021-09-24_final
2021-09-30 09:35:24	ga_ls8c_ard_3-2-0_092090_2021-09-30_final
2021-10-11 09:16:55	ga_ls8c_ard_3-2-0_089090_2021-10-10_final
2021-10-16 09:35:28	ga_ls8c_ard_3-2-0_092090_2021-10-16_final
2021-10-18 09:23:07	ga_ls8c_ard_3-2-0_090090_2021-10-17_final
2021-10-25 09:29:18	ga_ls8c_ard_3-2-0_091090_2021-10-24_final
2023-10-31 09:29:05	ga_ls8c_ard_3-2-1_091090_2023-10-30_final
2023-11-02 09:16:43	ga_ls8c_ard_3-2-1_089090_2023-11-01_final
2023-12-04 09:16:39	ga_ls8c_ard_3-2-1_089090_2023-12-03_final
2024-03-16 09:22:30	ga_ls8c_ard_3-2-1_090090_2024-03-15_final
2024-03-23 09:28:35	ga_ls8c_ard_3-2-1_091090_2024-03-22_final
2024-03-25 09:16:10	ga_ls8c_ard_3-2-1_089090_2024-03-24_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