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

79 results

Time (local)	Label
2013-03-26 09:35:18	ga_ls8c_ard_3-0-0_093072_2013-03-26_final
2013-05-06 10:05:22	ga_ls8c_ard_3-0-0_097084_2013-05-06_final
2013-08-08 10:15:08	ga_ls8c_ard_3-0-0_099077_2013-08-08_final
2013-08-26 09:59:13	ga_ls8c_ard_3-0-0_097068_2013-08-26_final
2014-01-21 09:33:35	ga_ls8c_ard_3-0-0_093068_2014-01-21_final
2014-03-28 09:20:19	ga_ls8c_ard_3-0-0_091068_2014-03-27_final
2014-12-16 09:27:58	ga_ls8c_ard_3-0-0_092072_2014-12-15_final
2015-09-14 09:28:35	ga_ls8c_ard_3-0-0_092074_2015-09-13_final
2015-09-23 09:22:52	ga_ls8c_ard_3-0-0_091075_2015-09-22_final
2016-01-25 11:24:34	ga_ls8c_ard_3-0-0_111070_2016-01-25_final
2016-06-18 10:33:22	ga_ls8c_ard_3-0-0_102082_2016-06-18_final
2016-11-19 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-11-18_final
2016-12-16 09:11:59	ga_ls8c_ard_3-0-0_089078_2016-12-15_final
2017-01-23 10:10:26	ga_ls8c_ard_3-0-0_099070_2017-01-23_final
2017-07-18 10:13:22	ga_ls8c_ard_3-0-0_099078_2017-07-18_final
2017-09-01 09:38:20	ga_ls8c_ard_3-0-0_094067_2017-09-01_final
2017-09-24 09:45:47	ga_ls8c_ard_3-0-0_095070_2017-09-24_final
2017-11-19 10:40:04	ga_ls8c_ard_3-0-0_103082_2017-11-19_final
2017-12-04 11:30:01	ga_ls8c_ard_3-0-0_112068_2017-12-04_final
2017-12-15 11:12:18	ga_ls8c_ard_3-0-0_109070_2017-12-15_final
2017-12-24 09:28:51	ga_ls8c_ard_3-0-0_092074_2017-12-23_final
2018-03-04 10:32:56	ga_ls8c_ard_3-0-0_102081_2018-03-04_final
2018-08-19 11:17:22	ga_ls8c_ard_3-0-0_110069_2018-08-19_final
2018-10-22 11:16:59	ga_ls8c_ard_3-0-0_110067_2018-10-22_final
2019-01-25 10:34:02	ga_ls8c_ard_3-0-0_103068_2019-01-25_final
2019-03-09 10:19:20	ga_ls8c_ard_3-1-0_100078_2019-03-09_final
2019-04-19 10:13:21	ga_ls8c_ard_3-1-0_099079_2019-04-19_final
2019-05-02 11:17:20	ga_ls8c_ard_3-0-0_110069_2019-05-02_final
2019-05-21 10:13:33	ga_ls8c_ard_3-0-0_099079_2019-05-21_final
2019-06-03 09:37:58	ga_ls8c_ard_3-0-0_094067_2019-06-03_final
2019-07-17 10:10:05	ga_ls8c_ard_3-1-0_098085_2019-07-17_final
2019-12-09 09:10:26	ga_ls8c_ard_3-1-0_089074_2019-12-08_final
2019-12-12 11:18:13	ga_ls8c_ard_3-1-0_110069_2019-12-12_final
2019-12-22 10:21:34	ga_ls8c_ard_3-1-0_100082_2019-12-22_final
2019-12-26 09:51:38	ga_ls8c_ard_3-1-0_096069_2019-12-26_final
2019-12-28 11:18:09	ga_ls8c_ard_3-1-0_110069_2019-12-28_final
2020-07-07 09:39:39	ga_ls8c_ard_3-1-0_094071_2020-07-07_final
2020-08-06 09:51:21	ga_ls8c_ard_3-1-0_096069_2020-08-06_final
2020-08-12 09:21:52	ga_ls8c_ard_3-1-0_090088_2020-08-11_final
2021-01-22 11:23:26	ga_ls8c_ard_3-2-0_111067_2021-01-22_final
2021-04-07 09:28:24	ga_ls8c_ard_3-2-0_092074_2021-04-06_final
2021-04-11 10:45:44	ga_ls8c_ard_3-2-0_104082_2021-04-11_final
2021-05-08 10:22:11	ga_ls8c_ard_3-2-0_101070_2021-05-08_final
2021-07-04 10:19:36	ga_ls8c_ard_3-2-0_100078_2021-07-04_final
2021-07-12 09:34:09	ga_ls8c_ard_3-2-0_092088_2021-07-12_final
2021-08-03 10:33:20	ga_ls8c_ard_3-2-0_102081_2021-08-03_final
2021-08-04 09:33:43	ga_ls8c_ard_3-2-0_093071_2021-08-04_final
2021-09-12 11:18:11	ga_ls8c_ard_3-2-0_110069_2021-09-12_final
2021-10-21 11:26:07	ga_ls8c_ard_3-2-0_111073_2021-10-21_final
2021-11-24 09:34:23	ga_ls8c_ard_3-2-0_093072_2021-11-24_final
2022-01-11 09:34:41	ga_ls8c_ard_3-2-1_093073_2022-01-11_final
2022-01-13 09:22:19	ga_ls8c_ard_3-2-1_091073_2022-01-12_final
2022-03-09 09:28:39	ga_ls8c_ard_3-2-1_092074_2022-03-08_final
2022-03-13 09:07:05	ga_ls8c_ard_3-2-1_088082_2022-03-12_final
2022-07-29 09:40:37	ga_ls8c_ard_3-2-1_094072_2022-07-29_final
2022-09-25 10:20:21	ga_ls8c_ard_3-2-1_100078_2022-09-25_final
2022-10-24 11:24:42	ga_ls8c_ard_3-2-1_111069_2022-10-24_final
2022-10-28 12:38:05	ga_ls8c_ard_3-2-1_123067_2022-10-28_final
2022-12-06 09:29:13	ga_ls8c_ard_3-2-1_092074_2022-12-05_final
2022-12-09 09:57:19	ga_ls8c_ard_3-2-1_097067_2022-12-09_final
2022-12-31 09:22:06	ga_ls8c_ard_3-2-1_091072_2022-12-30_final
2023-01-02 09:13:20	ga_ls8c_ard_3-2-1_089081_2023-01-01_final
2023-02-05 10:39:49	ga_ls8c_ard_3-2-1_103081_2023-02-05_final
2023-02-08 09:29:01	ga_ls8c_ard_3-2-1_092074_2023-02-07_final
2023-02-10 10:53:55	ga_ls8c_ard_3-2-1_106070_2023-02-10_final
2023-03-05 09:22:54	ga_ls8c_ard_3-2-1_091075_2023-03-04_final
2023-03-13 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-03-13_final
2023-06-17 10:10:11	ga_ls8c_ard_3-2-1_099071_2023-06-17_final
2023-07-02 09:27:29	ga_ls8c_ard_3-2-1_092072_2023-07-01_final
2023-09-11 09:33:40	ga_ls8c_ard_3-2-1_093071_2023-09-11_final
2023-10-12 10:33:49	ga_ls8c_ard_3-2-1_102082_2023-10-12_final
2023-10-20 11:20:02	ga_ls8c_ard_3-2-1_110074_2023-10-20_final
2023-10-22 09:28:49	ga_ls8c_ard_3-2-1_092074_2023-10-21_final
2023-12-07 11:19:11	ga_ls8c_ard_3-2-1_110072_2023-12-07_final
2024-01-19 09:22:11	ga_ls8c_ard_3-2-1_091073_2024-01-18_final
2024-01-21 09:10:12	ga_ls8c_ard_3-2-1_089074_2024-01-20_final
2024-02-24 10:35:05	ga_ls8c_ard_3-2-1_103070_2024-02-24_final
2024-02-27 11:07:57	ga_ls8c_ard_3-2-1_108075_2024-02-27_final
2024-03-12 11:21:45	ga_ls8c_ard_3-2-1_110079_2024-03-12_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