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
2013-12-01 09:05:58	ga_ls8c_ard_3-2-1_088075_2013-11-30_interim
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
2014-09-06 09:10:15	ga_ls8c_ard_3-0-0_089074_2014-09-05_final
2014-09-15 09:04:29	ga_ls8c_ard_3-2-1_088075_2014-09-14_interim
2014-10-08 09:10:19	ga_ls8c_ard_3-0-0_089074_2014-10-07_final
2014-10-24 09:10:20	ga_ls8c_ard_3-0-0_089074_2014-10-23_final
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
2014-11-25 09:10:18	ga_ls8c_ard_3-0-0_089074_2014-11-24_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
2015-06-21 09:09:26	ga_ls8c_ard_3-0-0_089074_2015-06-20_final
2015-07-07 09:09:35	ga_ls8c_ard_3-0-0_089074_2015-07-06_final
2015-07-23 09:09:43	ga_ls8c_ard_3-0-0_089074_2015-07-22_final
2015-08-08 09:09:45	ga_ls8c_ard_3-0-0_089074_2015-08-07_final
2016-05-22 09:09:43	ga_ls8c_ard_3-0-0_089074_2016-05-21_final
2016-06-07 09:09:48	ga_ls8c_ard_3-0-0_089074_2016-06-06_final
2016-07-09 09:10:02	ga_ls8c_ard_3-0-0_089074_2016-07-08_final
2016-07-25 09:10:07	ga_ls8c_ard_3-0-0_089074_2016-07-24_final
2018-02-05 09:09:59	ga_ls8c_ard_3-0-0_089074_2018-02-04_final
2018-02-21 09:09:53	ga_ls8c_ard_3-0-0_089074_2018-02-20_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
2018-09-18 08:23:43	ga_ls8c_ard_3-2-1_080098_2018-09-17_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
2018-11-21 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
2019-01-07 09:09:59	ga_ls8c_ard_3-0-0_089074_2019-01-06_final
2019-01-23 09:09:55	ga_ls8c_ard_3-0-0_089074_2019-01-22_final
2019-02-08 09:09:53	ga_ls8c_ard_3-0-0_089074_2019-02-07_final
2019-02-24 09:09:50	ga_ls8c_ard_3-0-0_089074_2019-02-23_final
2019-03-12 09:09:44	ga_ls8c_ard_3-1-0_089074_2019-03-11_final
2019-03-28 09:09:41	ga_ls8c_ard_3-1-0_089074_2019-03-27_final
2019-04-13 09:09:36	ga_ls8c_ard_3-1-0_089074_2019-04-12_final
2019-04-29 09:09:32	ga_ls8c_ard_3-0-0_089074_2019-04-28_final
2019-05-15 09:09:41	ga_ls8c_ard_3-0-0_089074_2019-05-14_final
2019-05-31 09:09:50	ga_ls8c_ard_3-0-0_089074_2019-05-30_final
2019-06-16 09:09:57	ga_ls8c_ard_3-1-0_089074_2019-06-15_final
2019-08-19 09:10:16	ga_ls8c_ard_3-1-0_089074_2019-08-18_final
2019-09-04 09:10:20	ga_ls8c_ard_3-1-0_089074_2019-09-03_final
2019-10-23 08:24:29	ga_ls8c_ard_3-2-1_080098_2019-10-22_final
2020-10-08 09:10:27	ga_ls8c_ard_3-1-0_089074_2020-10-07_final
2020-10-09 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-10-08_final
2020-12-12 08:24:26	ga_ls8c_ard_3-2-1_080098_2020-12-11_final
2020-12-27 09:10:26	ga_ls8c_ard_3-2-0_089074_2020-12-26_final
2021-01-12 09:10:19	ga_ls8c_ard_3-2-0_089074_2021-01-11_final
2021-05-04 09:09:38	ga_ls8c_ard_3-2-0_089074_2021-05-03_final
2021-05-20 09:09:45	ga_ls8c_ard_3-2-0_089074_2021-05-19_final
2021-05-21 08:23:44	ga_ls8c_ard_3-2-1_080098_2021-05-20_final
2021-06-05 09:09:54	ga_ls8c_ard_3-2-0_089074_2021-06-04_final
2021-06-06 08:23:52	ga_ls8c_ard_3-2-1_080098_2021-06-05_final
2022-02-16 09:10:11	ga_ls8c_ard_3-2-1_089074_2022-02-15_final
2022-03-04 09:10:08	ga_ls8c_ard_3-2-1_089074_2022-03-03_final
2022-03-20 09:10:00	ga_ls8c_ard_3-2-1_089074_2022-03-19_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
2022-05-08 08:23:57	ga_ls8c_ard_3-2-1_080098_2022-05-07_final
2022-05-23 09:10:04	ga_ls8c_ard_3-2-1_089074_2022-05-22_final
2022-05-24 08:24:01	ga_ls8c_ard_3-2-1_080098_2022-05-23_final
2022-06-08 09:10:13	ga_ls8c_ard_3-2-1_089074_2022-06-07_final
2022-06-09 08:24:11	ga_ls8c_ard_3-2-1_080098_2022-06-08_final
2022-06-24 09:10:21	ga_ls8c_ard_3-2-1_089074_2022-06-23_final
2022-07-10 09:10:21	ga_ls8c_ard_3-2-1_089074_2022-07-09_final
2022-07-26 09:10:29	ga_ls8c_ard_3-2-1_089074_2022-07-25_final
2022-08-11 09:10:37	ga_ls8c_ard_3-2-1_089074_2022-08-10_final
2022-08-27 09:10:39	ga_ls8c_ard_3-2-1_089074_2022-08-26_final
2022-08-28 08:24:37	ga_ls8c_ard_3-2-1_080098_2022-08-27_final
2022-09-12 09:10:44	ga_ls8c_ard_3-2-1_089074_2022-09-11_final
2022-09-13 08:24:42	ga_ls8c_ard_3-2-1_080098_2022-09-12_final
2022-09-28 09:10:46	ga_ls8c_ard_3-2-1_089074_2022-09-27_final
2022-09-29 08:24:43	ga_ls8c_ard_3-2-1_080098_2022-09-28_final
2022-10-14 09:10:37	ga_ls8c_ard_3-2-1_089074_2022-10-13_final
2022-11-15 09:10:40	ga_ls8c_ard_3-2-1_089074_2022-11-14_final
2022-12-01 09:10:41	ga_ls8c_ard_3-2-1_089074_2022-11-30_final
2022-12-02 08:24:39	ga_ls8c_ard_3-2-1_080098_2022-12-01_final
2022-12-17 09:10:35	ga_ls8c_ard_3-2-1_089074_2022-12-16_final
2023-01-02 09:10:32	ga_ls8c_ard_3-2-1_089074_2023-01-01_final
2023-01-18 09:10:24	ga_ls8c_ard_3-2-1_089074_2023-01-17_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
2023-04-08 09:09:45	ga_ls8c_ard_3-2-1_089074_2023-04-07_final
2023-04-24 09:09:38	ga_ls8c_ard_3-2-1_089074_2023-04-23_final
2023-06-27 09:09:40	ga_ls8c_ard_3-2-1_089074_2023-06-26_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years