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
2013-06-11 09:37:15	ga_ls8c_ard_3-0-0_093075_2013-06-11_final
2013-07-07 10:15:06	ga_ls8c_ard_3-0-0_099077_2013-07-07_final
2013-08-21 09:47:51	ga_ls8c_ard_3-0-0_094086_2013-08-21_final
2013-08-26 09:59:13	ga_ls8c_ard_3-0-0_097068_2013-08-26_final
2013-09-27 11:39:31	ga_ls8c_ard_3-0-0_113072_2013-09-27_final
2014-01-10 11:33:08	ga_ls8c_ard_3-0-0_112073_2014-01-10_final
2014-06-22 10:22:24	ga_ls8c_ard_3-0-0_101070_2014-06-22_final
2014-07-24 10:26:57	ga_ls8c_ard_3-0-0_101081_2014-07-24_final
2014-09-16 09:45:45	ga_ls8c_ard_3-0-0_095070_2014-09-16_final
2014-10-27 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-10-27_final
2014-11-28 09:40:01	ga_ls8c_ard_3-0-0_094071_2014-11-28_final
2014-12-24 10:19:01	ga_ls8c_ard_3-0-0_100076_2014-12-24_final
2015-01-13 11:31:31	ga_ls8c_ard_3-0-0_112072_2015-01-13_final
2015-02-03 10:13:28	ga_ls8c_ard_3-0-0_099078_2015-02-03_final
2015-04-21 11:21:16	ga_ls8c_ard_3-0-0_110079_2015-04-21_final
2015-04-24 11:52:32	ga_ls8c_ard_3-0-0_115080_2015-04-24_final
2015-06-18 10:19:00	ga_ls8c_ard_3-0-0_100078_2015-06-18_final
2015-11-24 09:34:36	ga_ls8c_ard_3-0-0_093073_2015-11-24_final
2015-11-25 10:19:27	ga_ls8c_ard_3-0-0_100077_2015-11-25_final
2015-12-05 10:58:55	ga_ls8c_ard_3-0-0_106083_2015-12-05_final
2015-12-15 11:32:00	ga_ls8c_ard_3-0-0_112073_2015-12-15_final
2016-01-14 11:47:30	ga_ls8c_ard_3-0-0_114081_2016-01-14_final
2016-01-23 09:57:39	ga_ls8c_ard_3-0-0_097069_2016-01-23_final
2016-02-03 09:40:16	ga_ls8c_ard_3-0-0_094072_2016-02-03_final
2016-03-04 11:29:46	ga_ls8c_ard_3-0-0_112068_2016-03-04_final
2016-04-01 10:16:33	ga_ls8c_ard_3-0-0_100071_2016-04-01_final
2016-04-03 11:41:29	ga_ls8c_ard_3-0-0_114067_2016-04-03_final
2016-04-10 11:52:49	ga_ls8c_ard_3-0-0_115080_2016-04-10_final
2016-07-03 09:45:28	ga_ls8c_ard_3-0-0_095070_2016-07-03_final
2016-09-08 10:19:31	ga_ls8c_ard_3-0-0_100077_2016-09-08_final
2016-10-09 09:34:20	ga_ls8c_ard_3-0-0_093072_2016-10-09_final
2017-01-17 10:46:22	ga_ls8c_ard_3-0-0_105067_2017-01-17_final
2017-02-04 10:35:52	ga_ls8c_ard_3-0-0_103072_2017-02-04_final
2017-05-12 11:17:18	ga_ls8c_ard_3-0-0_110069_2017-05-12_final
2017-09-08 11:24:12	ga_ls8c_ard_3-0-0_111069_2017-09-08_final
2017-09-20 10:13:40	ga_ls8c_ard_3-0-0_099078_2017-09-20_final
2017-09-24 08:10:54	ga_ls8c_ard_3-2-1_079080_2017-09-23_final
2017-11-23 10:16:07	ga_ls8c_ard_3-0-0_099084_2017-11-23_final
2017-11-25 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-11-25_final
2017-11-27 11:24:15	ga_ls8c_ard_3-0-0_111069_2017-11-27_final
2017-12-02 10:05:53	ga_ls8c_ard_3-0-0_098074_2017-12-02_final
2018-02-27 10:13:14	ga_ls8c_ard_3-0-0_099078_2018-02-27_final
2018-03-20 10:33:11	ga_ls8c_ard_3-0-0_102082_2018-03-20_final
2018-05-31 09:37:02	ga_ls8c_ard_3-0-0_094067_2018-05-31_final
2018-10-08 11:10:08	ga_ls8c_ard_3-0-0_108081_2018-10-08_final
2018-11-21 11:30:36	ga_ls8c_ard_3-0-0_112070_2018-11-21_final
2018-12-29 10:58:39	ga_ls8c_ard_3-0-0_106083_2018-12-29_final
2019-01-08 11:31:20	ga_ls8c_ard_3-0-0_112072_2019-01-08_final
2019-03-06 09:46:51	ga_ls8c_ard_3-0-0_095074_2019-03-06_final
2019-04-23 09:45:01	ga_ls8c_ard_3-0-0_095070_2019-04-23_final
2019-05-08 09:07:01	ga_ls8c_ard_3-0-0_088083_2019-05-07_final
2019-11-24 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-11-24_final
2020-01-04 09:47:01	ga_ls8c_ard_3-1-0_095073_2020-01-04_final
2020-02-21 11:23:18	ga_ls8c_ard_3-1-0_111067_2020-02-21_final
2020-07-13 09:07:23	ga_ls8c_ard_3-1-0_088083_2020-07-12_final
2020-09-12 11:53:26	ga_ls8c_ard_3-1-0_115080_2020-09-12_final
2020-10-02 11:24:24	ga_ls8c_ard_3-1-0_111069_2020-10-02_final
2020-11-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2020-11-01_final
2020-12-07 11:13:17	ga_ls8c_ard_3-1-0_109072_2020-12-07_final
2021-02-19 10:13:34	ga_ls8c_ard_3-2-0_099078_2021-02-19_final
2021-03-07 11:53:08	ga_ls8c_ard_3-2-0_115080_2021-03-07_final
2021-04-03 11:36:01	ga_ls8c_ard_3-2-0_112084_2021-04-03_final
2021-04-06 10:22:26	ga_ls8c_ard_3-2-0_101070_2021-04-06_final
2021-04-09 09:16:50	ga_ls8c_ard_3-2-0_090076_2021-04-08_final
2021-05-20 10:52:14	ga_ls8c_ard_3-2-0_105083_2021-05-20_final
2021-06-12 10:55:48	ga_ls8c_ard_3-2-0_106076_2021-06-12_final
2021-07-03 09:33:33	ga_ls8c_ard_3-2-0_093071_2021-07-03_final
2021-09-29 10:23:02	ga_ls8c_ard_3-2-0_101070_2021-09-29_final
2021-12-28 09:24:45	ga_ls8c_ard_3-2-1_091079_2021-12-27_final
2022-01-15 09:11:32	ga_ls8c_ard_3-2-1_089077_2022-01-14_final
2022-01-24 10:42:35	ga_ls8c_ard_3-2-1_104073_2022-01-24_final
2022-03-26 10:13:19	ga_ls8c_ard_3-2-1_099078_2022-03-26_final
2022-04-10 11:10:33	ga_ls8c_ard_3-2-1_108082_2022-04-10_final
2022-04-11 11:53:01	ga_ls8c_ard_3-2-1_115080_2022-04-11_final
2022-05-05 09:21:31	ga_ls8c_ard_3-2-1_091072_2022-05-04_final
2022-06-04 09:39:16	ga_ls8c_ard_3-2-1_093085_2022-06-04_final
2022-07-01 09:16:57	ga_ls8c_ard_3-2-1_090075_2022-06-30_final
2022-07-23 10:19:37	ga_ls8c_ard_3-2-1_100077_2022-07-23_final
2022-08-10 10:03:27	ga_ls8c_ard_3-2-1_098067_2022-08-10_final
2022-10-20 10:09:42	ga_ls8c_ard_3-2-1_099067_2022-10-20_final
2022-11-29 09:29:26	ga_ls8c_ard_3-2-1_091090_2022-11-28_final
2022-12-02 11:32:26	ga_ls8c_ard_3-2-1_112073_2022-12-02_final
2023-01-08 11:53:36	ga_ls8c_ard_3-2-1_115080_2023-01-08_final
2023-01-15 10:19:37	ga_ls8c_ard_3-2-1_100077_2023-01-15_final
2023-01-17 10:03:14	ga_ls8c_ard_3-2-1_098067_2023-01-17_final
2023-02-09 10:09:52	ga_ls8c_ard_3-2-1_099068_2023-02-09_final
2023-02-11 09:57:53	ga_ls8c_ard_3-2-1_097069_2023-02-11_final
2023-04-07 10:02:36	ga_ls8c_ard_3-2-1_098067_2023-04-07_final
2023-04-14 11:52:45	ga_ls8c_ard_3-2-1_115080_2023-04-14_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-07-29 09:15:55	ga_ls8c_ard_3-2-1_089089_2023-07-28_final
2023-08-21 09:21:28	ga_ls8c_ard_3-2-1_090087_2023-08-20_final
2023-09-11 09:34:28	ga_ls8c_ard_3-2-1_093073_2023-09-11_final
2023-09-13 09:22:55	ga_ls8c_ard_3-2-1_091075_2023-09-12_final
2023-09-27 09:34:33	ga_ls8c_ard_3-2-1_093073_2023-09-27_final
2023-12-30 09:46:10	ga_ls8c_ard_3-2-1_095071_2023-12-30_final
2024-02-14 09:57:15	ga_ls8c_ard_3-2-1_097068_2024-02-14_final
2024-03-15 10:10:33	ga_ls8c_ard_3-2-1_099071_2024-03-15_final
2024-03-19 09:51:46	ga_ls8c_ard_3-2-1_095086_2024-03-19_final
2024-03-23 09:22:12	ga_ls8c_ard_3-2-1_091074_2024-03-22_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