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
2013-04-28 09:11:53	ga_ls8c_ard_3-0-0_089074_2013-04-27_final
2013-08-19 08:26:06	ga_ls8c_ard_3-2-1_080098_2013-08-18_final
2013-09-03 09:12:10	ga_ls8c_ard_3-0-0_089074_2013-09-02_final
2013-09-12 09:06:20	ga_ls8c_ard_3-2-1_088075_2013-09-11_interim
2013-10-30 09:06:03	ga_ls8c_ard_3-2-1_088075_2013-10-29_interim
2013-11-15 09:06:02	ga_ls8c_ard_3-2-1_088075_2013-11-14_interim
2014-07-04 09:09:55	ga_ls8c_ard_3-0-0_089074_2014-07-03_final
2014-07-20 09:10:00	ga_ls8c_ard_3-0-0_089074_2014-07-19_final
2014-08-05 09:10:08	ga_ls8c_ard_3-0-0_089074_2014-08-04_final
2014-08-21 09:10:12	ga_ls8c_ard_3-0-0_089074_2014-08-20_final
2014-09-06 09:10:15	ga_ls8c_ard_3-0-0_089074_2014-09-05_final
2014-09-07 08:24:13	ga_ls8c_ard_3-2-1_080098_2014-09-06_interim
2014-09-15 09:04:29	ga_ls8c_ard_3-2-1_088075_2014-09-14_interim
2014-10-01 09:04:30	ga_ls8c_ard_3-2-1_088075_2014-09-30_interim
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-10-09 08:24:17	ga_ls8c_ard_3-2-1_080098_2014-10-08_final
2014-10-17 09:04:34	ga_ls8c_ard_3-2-1_088075_2014-10-16_interim
2014-10-24 09:10:20	ga_ls8c_ard_3-0-0_089074_2014-10-23_final
2014-11-02 09:04:32	ga_ls8c_ard_3-2-1_088075_2014-11-01_interim
2014-11-09 09:10:21	ga_ls8c_ard_3-0-0_089074_2014-11-08_final
2014-11-10 08:24:19	ga_ls8c_ard_3-2-1_080098_2014-11-09_final
2014-11-18 09:04:32	ga_ls8c_ard_3-2-1_088075_2014-11-17_interim
2014-11-25 09:10:18	ga_ls8c_ard_3-0-0_089074_2014-11-24_final
2014-12-04 09:04:31	ga_ls8c_ard_3-2-1_088075_2014-12-03_interim
2014-12-11 09:10:12	ga_ls8c_ard_3-0-0_089074_2014-12-10_final
2014-12-20 09:04:28	ga_ls8c_ard_3-2-1_088075_2014-12-19_interim
2014-12-27 09:10:12	ga_ls8c_ard_3-0-0_089074_2014-12-26_final
2015-01-28 09:10:04	ga_ls8c_ard_3-0-0_089074_2015-01-27_final
2015-02-13 09:09:56	ga_ls8c_ard_3-0-0_089074_2015-02-12_final
2015-03-01 09:09:53	ga_ls8c_ard_3-0-0_089074_2015-02-28_final
2015-04-02 09:09:31	ga_ls8c_ard_3-0-0_089074_2015-04-01_final
2015-04-18 09:09:30	ga_ls8c_ard_3-0-0_089074_2015-04-17_final
2015-05-04 09:09:18	ga_ls8c_ard_3-0-0_089074_2015-05-03_final
2015-05-20 09:09:10	ga_ls8c_ard_3-0-0_089074_2015-05-19_final
2015-06-05 09:09:18	ga_ls8c_ard_3-0-0_089074_2015-06-04_final
2015-09-18 09:04:17	ga_ls8c_ard_3-2-1_088075_2015-09-17_interim
2015-09-25 09:10:07	ga_ls8c_ard_3-0-0_089074_2015-09-24_final
2015-09-26 08:24:05	ga_ls8c_ard_3-2-1_080098_2015-09-25_final
2015-10-04 09:04:21	ga_ls8c_ard_3-2-1_088075_2015-10-03_interim
2015-10-12 08:24:06	ga_ls8c_ard_3-2-1_080098_2015-10-11_final
2015-11-12 09:10:13	ga_ls8c_ard_3-0-0_089074_2015-11-11_final
2017-01-01 09:10:21	ga_ls8c_ard_3-0-0_089074_2016-12-31_final
2017-03-22 09:09:46	ga_ls8c_ard_3-0-0_089074_2017-03-21_final
2017-04-07 09:09:39	ga_ls8c_ard_3-0-0_089074_2017-04-06_final
2017-04-23 09:09:29	ga_ls8c_ard_3-0-0_089074_2017-04-22_final
2017-05-09 09:09:28	ga_ls8c_ard_3-0-0_089074_2017-05-08_final
2017-05-25 09:09:40	ga_ls8c_ard_3-0-0_089074_2017-05-24_final
2017-06-10 09:09:47	ga_ls8c_ard_3-0-0_089074_2017-06-09_final
2017-06-26 09:09:53	ga_ls8c_ard_3-0-0_089074_2017-06-25_final
2017-07-12 09:09:55	ga_ls8c_ard_3-0-0_089074_2017-07-11_final
2017-07-28 09:10:03	ga_ls8c_ard_3-0-0_089074_2017-07-27_final
2017-08-13 09:10:09	ga_ls8c_ard_3-0-0_089074_2017-08-12_final
2017-08-29 09:10:13	ga_ls8c_ard_3-0-0_089074_2017-08-28_final
2018-03-09 09:09:45	ga_ls8c_ard_3-0-0_089074_2018-03-08_final
2018-03-25 09:09:37	ga_ls8c_ard_3-0-0_089074_2018-03-24_final
2018-04-10 09:09:29	ga_ls8c_ard_3-0-0_089074_2018-04-09_final
2018-04-26 09:09:20	ga_ls8c_ard_3-0-0_089074_2018-04-25_final
2018-05-12 09:09:10	ga_ls8c_ard_3-0-0_089074_2018-05-11_final
2018-05-28 09:08:58	ga_ls8c_ard_3-0-0_089074_2018-05-27_final
2018-06-13 09:08:59	ga_ls8c_ard_3-0-0_089074_2018-06-12_final
2018-06-29 09:09:09	ga_ls8c_ard_3-0-0_089074_2018-06-28_final
2018-07-15 09:09:17	ga_ls8c_ard_3-0-0_089074_2018-07-14_final
2018-07-31 09:09:24	ga_ls8c_ard_3-0-0_089074_2018-07-30_final
2018-08-16 09:09:33	ga_ls8c_ard_3-0-0_089074_2018-08-15_final
2018-09-01 09:09:40	ga_ls8c_ard_3-0-0_089074_2018-08-31_final
2018-09-17 09:09:45	ga_ls8c_ard_3-0-0_089074_2018-09-16_final
2018-09-18 08:23:43	ga_ls8c_ard_3-2-1_080098_2018-09-17_final
2018-10-03 09:09:52	ga_ls8c_ard_3-0-0_089074_2018-10-02_final
2018-10-19 09:09:59	ga_ls8c_ard_3-0-0_089074_2018-10-18_final
2018-10-20 08:23:57	ga_ls8c_ard_3-2-1_080098_2018-10-19_final
2018-11-04 09:10:03	ga_ls8c_ard_3-0-0_089074_2018-11-03_final
2018-11-05 08:24:00	ga_ls8c_ard_3-2-1_080098_2018-11-04_final
2018-11-20 09:10:03	ga_ls8c_ard_3-0-0_089074_2018-11-19_final
2018-11-21 08:24:01	ga_ls8c_ard_3-2-1_080098_2018-11-20_final
2018-12-06 09:10:01	ga_ls8c_ard_3-0-0_089074_2018-12-05_final
2018-12-22 09:10:00	ga_ls8c_ard_3-0-0_089074_2018-12-21_final
2019-01-23 09:09:55	ga_ls8c_ard_3-0-0_089074_2019-01-22_final
2020-02-11 09:10:10	ga_ls8c_ard_3-1-0_089074_2020-02-10_final
2020-05-01 09:09:35	ga_ls8c_ard_3-1-0_089074_2020-04-30_final
2021-01-12 09:10:19	ga_ls8c_ard_3-2-0_089074_2021-01-11_final
2021-01-28 09:10:15	ga_ls8c_ard_3-2-0_089074_2021-01-27_final
2021-03-01 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-02-28_final
2021-03-17 09:09:57	ga_ls8c_ard_3-2-0_089074_2021-03-16_final
2021-04-02 09:09:53	ga_ls8c_ard_3-2-0_089074_2021-04-01_final
2021-04-18 09:09:47	ga_ls8c_ard_3-2-0_089074_2021-04-17_final
2021-05-04 09:09:38	ga_ls8c_ard_3-2-0_089074_2021-05-03_final
2021-11-12 09:10:30	ga_ls8c_ard_3-2-0_089074_2021-11-11_final
2022-04-05 09:09:53	ga_ls8c_ard_3-2-1_089074_2022-04-04_final
2022-04-21 09:09:56	ga_ls8c_ard_3-2-1_089074_2022-04-20_final
2022-04-22 08:23:54	ga_ls8c_ard_3-2-1_080098_2022-04-21_final
2022-05-07 09:09:59	ga_ls8c_ard_3-2-1_089074_2022-05-06_final
2023-02-03 09:10:30	ga_ls8c_ard_3-2-1_089074_2023-02-02_final
2023-02-04 08:24:28	ga_ls8c_ard_3-2-1_080098_2023-02-03_final
2023-02-19 09:10:19	ga_ls8c_ard_3-2-1_089074_2023-02-18_final
2023-03-07 09:10:07	ga_ls8c_ard_3-2-1_089074_2023-03-06_final
2023-03-23 09:09:58	ga_ls8c_ard_3-2-1_089074_2023-03-22_final
2023-04-24 09:09:38	ga_ls8c_ard_3-2-1_089074_2023-04-23_final
2023-05-10 09:09:27	ga_ls8c_ard_3-2-1_089074_2023-05-09_final
2023-05-26 09:09:26	ga_ls8c_ard_3-2-1_089074_2023-05-25_final
2023-05-27 08:23:24	ga_ls8c_ard_3-2-1_080098_2023-05-26_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