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
2013-08-23 11:10:23	ga_ls8c_ard_3-0-0_108076_2013-08-23_final
2013-09-01 11:04:12	ga_ls8c_ard_3-0-0_107076_2013-09-01_final
2013-09-08 11:10:22	ga_ls8c_ard_3-0-0_108076_2013-09-08_final
2013-09-17 11:04:07	ga_ls8c_ard_3-0-0_107076_2013-09-17_final
2013-09-24 11:10:14	ga_ls8c_ard_3-0-0_108076_2013-09-24_final
2013-10-03 11:04:03	ga_ls8c_ard_3-0-0_107076_2013-10-03_final
2013-11-04 11:03:54	ga_ls8c_ard_3-0-0_107076_2013-11-04_final
2014-02-08 11:03:55	ga_ls8c_ard_3-0-0_107078_2014-02-08_final
2014-04-20 11:08:15	ga_ls8c_ard_3-0-0_108076_2014-04-20_final
2014-06-07 11:08:00	ga_ls8c_ard_3-0-0_108076_2014-06-07_final
2014-07-09 11:08:11	ga_ls8c_ard_3-0-0_108076_2014-07-09_final
2014-08-26 11:08:25	ga_ls8c_ard_3-0-0_108076_2014-08-26_final
2014-09-20 11:02:17	ga_ls8c_ard_3-0-0_107076_2014-09-20_final
2014-09-20 11:02:41	ga_ls8c_ard_3-0-0_107077_2014-09-20_final
2014-09-27 11:08:27	ga_ls8c_ard_3-0-0_108076_2014-09-27_final
2014-10-06 11:02:45	ga_ls8c_ard_3-0-0_107077_2014-10-06_final
2015-03-15 11:01:45	ga_ls8c_ard_3-0-0_107076_2015-03-15_final
2015-03-15 11:02:09	ga_ls8c_ard_3-0-0_107077_2015-03-15_final
2015-09-23 11:02:09	ga_ls8c_ard_3-0-0_107076_2015-09-23_final
2015-09-23 11:02:33	ga_ls8c_ard_3-0-0_107077_2015-09-23_final
2015-10-16 11:07:33	ga_ls8c_ard_3-0-0_108074_2015-10-16_final
2016-07-14 11:08:17	ga_ls8c_ard_3-0-0_108076_2016-07-14_final
2016-08-24 11:02:18	ga_ls8c_ard_3-0-0_107076_2016-08-24_final
2016-09-09 11:02:23	ga_ls8c_ard_3-0-0_107076_2016-09-09_final
2016-09-25 11:02:24	ga_ls8c_ard_3-0-0_107076_2016-09-25_final
2016-10-02 11:08:35	ga_ls8c_ard_3-0-0_108076_2016-10-02_final
2016-11-12 11:02:29	ga_ls8c_ard_3-0-0_107076_2016-11-12_final
2016-11-19 11:08:41	ga_ls8c_ard_3-0-0_108076_2016-11-19_final
2017-04-05 11:01:42	ga_ls8c_ard_3-0-0_107076_2017-04-05_final
2017-05-14 11:07:46	ga_ls8c_ard_3-0-0_108076_2017-05-14_final
2017-07-17 11:08:11	ga_ls8c_ard_3-0-0_108076_2017-07-17_final
2017-08-02 11:08:19	ga_ls8c_ard_3-0-0_108076_2017-08-02_final
2017-08-18 11:08:24	ga_ls8c_ard_3-0-0_108076_2017-08-18_final
2017-09-12 11:02:16	ga_ls8c_ard_3-0-0_107076_2017-09-12_final
2017-09-19 11:08:29	ga_ls8c_ard_3-0-0_108076_2017-09-19_final
2017-10-30 11:02:28	ga_ls8c_ard_3-0-0_107076_2017-10-30_final
2017-10-30 11:02:52	ga_ls8c_ard_3-0-0_107077_2017-10-30_final
2017-12-24 11:08:32	ga_ls8c_ard_3-0-0_108076_2017-12-24_final
2018-03-23 11:01:41	ga_ls8c_ard_3-0-0_107076_2018-03-23_final
2018-08-21 11:07:49	ga_ls8c_ard_3-0-0_108076_2018-08-21_final
2018-09-15 11:01:47	ga_ls8c_ard_3-0-0_107076_2018-09-15_final
2019-11-05 11:04:32	ga_ls8c_ard_3-1-0_107081_2019-11-05_final
2019-11-19 11:14:03	ga_ls8c_ard_3-1-0_109074_2019-11-19_final
2020-10-13 11:07:53	ga_ls8c_ard_3-1-0_108074_2020-10-13_final
2021-03-10 10:45:31	ga_ls8c_ard_3-2-0_104081_2021-03-10_final
2021-03-30 10:19:05	ga_ls8c_ard_3-2-0_100077_2021-03-30_final
2021-04-02 10:51:34	ga_ls8c_ard_3-2-0_105081_2021-04-02_final
2021-07-16 10:45:32	ga_ls8c_ard_3-2-0_104081_2021-07-16_final
2021-08-15 10:58:07	ga_ls8c_ard_3-2-0_106081_2021-08-15_final
2021-08-17 10:45:46	ga_ls8c_ard_3-2-0_104081_2021-08-17_final
2021-08-31 10:58:12	ga_ls8c_ard_3-2-0_106081_2021-08-31_final
2021-09-16 10:57:28	ga_ls8c_ard_3-2-0_106079_2021-09-16_final
2021-09-23 11:02:28	ga_ls8c_ard_3-2-0_107076_2021-09-23_final
2021-10-04 10:43:12	ga_ls8c_ard_3-2-0_104074_2021-10-04_final
2021-10-04 10:46:00	ga_ls8c_ard_3-2-0_104081_2021-10-04_final
2021-10-25 11:02:36	ga_ls8c_ard_3-2-0_107076_2021-10-25_final
2021-11-15 11:20:15	ga_ls8c_ard_3-2-0_110074_2021-11-15_final
2021-11-26 11:02:31	ga_ls8c_ard_3-2-0_107076_2021-11-26_final
2021-12-05 10:58:20	ga_ls8c_ard_3-2-1_106081_2021-12-05_final
2021-12-27 10:19:35	ga_ls8c_ard_3-2-1_100077_2021-12-27_final
2021-12-28 11:02:26	ga_ls8c_ard_3-2-1_107076_2021-12-28_final
2022-02-09 10:45:44	ga_ls8c_ard_3-2-1_104081_2022-02-09_final
2022-02-23 10:57:12	ga_ls8c_ard_3-2-1_106079_2022-02-23_final
2022-02-25 10:45:39	ga_ls8c_ard_3-2-1_104081_2022-02-25_final
2022-04-26 11:08:07	ga_ls8c_ard_3-2-1_108076_2022-04-26_final
2022-08-25 11:02:42	ga_ls8c_ard_3-2-1_107076_2022-08-25_final
2022-09-05 10:42:34	ga_ls8c_ard_3-2-1_104072_2022-09-05_final
2022-09-17 11:08:59	ga_ls8c_ard_3-2-1_108076_2022-09-17_final
2022-10-05 10:58:35	ga_ls8c_ard_3-2-1_106081_2022-10-05_final
2022-10-14 10:52:17	ga_ls8c_ard_3-2-1_105081_2022-10-14_final
2022-10-19 11:08:54	ga_ls8c_ard_3-2-1_108076_2022-10-19_final
2022-11-04 11:08:59	ga_ls8c_ard_3-2-1_108076_2022-11-04_final
2022-11-13 11:02:44	ga_ls8c_ard_3-2-1_107076_2022-11-13_final
2022-11-13 11:03:08	ga_ls8c_ard_3-2-1_107077_2022-11-13_final
2022-12-24 10:57:34	ga_ls8c_ard_3-2-1_106079_2022-12-24_final
2023-02-08 11:08:42	ga_ls8c_ard_3-2-1_108076_2023-02-08_final
2023-02-26 10:57:14	ga_ls8c_ard_3-2-1_106079_2023-02-26_final
2023-03-04 10:19:20	ga_ls8c_ard_3-2-1_100077_2023-03-04_final
2023-03-05 11:02:35	ga_ls8c_ard_3-2-1_107077_2023-03-05_final
2023-03-07 10:51:00	ga_ls8c_ard_3-2-1_105079_2023-03-07_final
2023-03-16 10:45:34	ga_ls8c_ard_3-2-1_104081_2023-03-16_final
2023-03-20 10:19:12	ga_ls8c_ard_3-2-1_100077_2023-03-20_final
2023-06-08 10:18:42	ga_ls8c_ard_3-2-1_100077_2023-06-08_final
2023-07-06 10:45:17	ga_ls8c_ard_3-2-1_104081_2023-07-06_final
2023-08-07 10:45:29	ga_ls8c_ard_3-2-1_104081_2023-08-07_final
2023-08-28 11:02:10	ga_ls8c_ard_3-2-1_107076_2023-08-28_final
2023-09-06 10:57:08	ga_ls8c_ard_3-2-1_106079_2023-09-06_final
2023-09-13 11:02:12	ga_ls8c_ard_3-2-1_107076_2023-09-13_final
2023-10-06 11:08:27	ga_ls8c_ard_3-2-1_108076_2023-10-06_final
2023-10-08 10:57:19	ga_ls8c_ard_3-2-1_106079_2023-10-08_final
2023-10-08 10:58:07	ga_ls8c_ard_3-2-1_106081_2023-10-08_final
2023-10-15 11:02:20	ga_ls8c_ard_3-2-1_107076_2023-10-15_final
2023-10-15 11:03:31	ga_ls8c_ard_3-2-1_107079_2023-10-15_final
2023-11-02 10:51:13	ga_ls8c_ard_3-2-1_105079_2023-11-02_final
2023-11-25 10:57:26	ga_ls8c_ard_3-2-1_106079_2023-11-25_final
2023-11-25 10:58:14	ga_ls8c_ard_3-2-1_106081_2023-11-25_final
2023-12-18 11:02:46	ga_ls8c_ard_3-2-1_107077_2023-12-18_final
2024-02-04 11:02:15	ga_ls8c_ard_3-2-1_107076_2024-02-04_final
2024-02-13 10:57:16	ga_ls8c_ard_3-2-1_106079_2024-02-13_final
2024-02-15 10:45:41	ga_ls8c_ard_3-2-1_104081_2024-02-15_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