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

86 results

Time (local)	Label
2013-05-17 09:41:49	ga_ls8c_ard_3-0-0_094071_2013-05-17_final
2013-12-27 09:39:40	ga_ls8c_ard_3-0-0_094067_2013-12-27_final
2014-01-21 09:35:35	ga_ls8c_ard_3-0-0_093073_2014-01-21_final
2014-03-08 11:23:51	ga_ls8c_ard_3-0-0_111067_2014-03-08_final
2014-05-04 09:37:54	ga_ls8c_ard_3-0-0_094067_2014-05-04_final
2014-08-24 09:45:53	ga_ls8c_ard_3-0-0_094086_2014-08-24_final
2014-12-09 09:21:48	ga_ls8c_ard_3-0-0_091072_2014-12-08_final
2014-12-09 09:23:00	ga_ls8c_ard_3-0-0_091075_2014-12-08_final
2015-01-03 09:17:32	ga_ls8c_ard_3-0-0_090077_2015-01-02_final
2015-02-12 11:41:40	ga_ls8c_ard_3-0-0_114067_2015-02-12_final
2015-02-24 10:27:52	ga_ls8c_ard_3-0-0_102068_2015-02-24_final
2015-03-16 11:47:01	ga_ls8c_ard_3-0-0_114081_2015-03-16_final
2015-05-25 09:33:19	ga_ls8c_ard_3-0-0_092088_2015-05-25_final
2015-10-14 09:38:14	ga_ls8c_ard_3-0-0_094067_2015-10-14_final
2015-12-21 09:20:50	ga_ls8c_ard_3-0-0_090085_2015-12-20_final
2016-01-14 11:41:55	ga_ls8c_ard_3-0-0_114067_2016-01-14_final
2016-01-18 09:38:19	ga_ls8c_ard_3-0-0_094067_2016-01-18_final
2016-02-01 09:58:13	ga_ls8c_ard_3-0-0_096086_2016-02-01_final
2016-06-15 10:01:15	ga_ls8c_ard_3-0-0_097079_2016-06-15_final
2016-09-28 11:30:54	ga_ls8c_ard_3-0-0_112070_2016-09-28_final
2016-10-02 09:28:07	ga_ls8c_ard_3-0-0_092072_2016-10-01_final
2017-01-23 10:13:14	ga_ls8c_ard_3-0-0_099077_2017-01-23_final
2017-02-01 10:09:47	ga_ls8c_ard_3-0-0_098084_2017-02-01_final
2017-10-17 09:50:53	ga_ls8c_ard_3-0-0_096067_2017-10-17_final
2017-11-14 10:19:57	ga_ls8c_ard_3-0-0_100078_2017-11-14_final
2017-11-20 11:18:08	ga_ls8c_ard_3-0-0_110069_2017-11-20_final
2018-01-11 09:16:47	ga_ls8c_ard_3-0-0_090075_2018-01-10_final
2018-01-17 11:57:25	ga_ls8c_ard_3-0-0_116075_2018-01-17_final
2018-01-18 09:22:54	ga_ls8c_ard_3-0-0_091075_2018-01-17_final
2018-02-04 11:41:42	ga_ls8c_ard_3-0-0_114067_2018-02-04_final
2018-02-22 09:50:21	ga_ls8c_ard_3-0-0_096067_2018-02-22_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-04-22 09:39:40	ga_ls8c_ard_3-0-0_093088_2018-04-22_final
2018-04-26 09:09:44	ga_ls8c_ard_3-0-0_089075_2018-04-25_final
2018-05-26 09:27:44	ga_ls8c_ard_3-1-0_091090_2018-05-25_final
2018-06-14 09:50:16	ga_ls8c_ard_3-0-0_096069_2018-06-14_final
2018-10-04 09:50:21	ga_ls8c_ard_3-0-0_096067_2018-10-04_final
2018-10-31 09:33:33	ga_ls8c_ard_3-0-0_093071_2018-10-31_final
2019-01-31 09:59:20	ga_ls8c_ard_3-0-0_097074_2019-01-31_final
2019-07-26 11:41:39	ga_ls8c_ard_3-1-0_113082_2019-07-26_final
2019-08-01 09:21:44	ga_ls8c_ard_3-1-0_091072_2019-07-31_final
2019-10-29 09:17:30	ga_ls8c_ard_3-1-0_090076_2019-10-28_final
2019-12-10 09:51:42	ga_ls8c_ard_3-1-0_096069_2019-12-10_final
2019-12-16 09:22:11	ga_ls8c_ard_3-2-0_090088_2019-12-15_final
2020-01-23 10:17:27	ga_ls8c_ard_3-1-0_100072_2020-01-23_final
2020-02-01 10:14:00	ga_ls8c_ard_3-1-0_099079_2020-02-01_final
2020-03-05 09:16:38	ga_ls8c_ard_3-1-0_090075_2020-03-04_final
2020-04-27 09:33:09	ga_ls8c_ard_3-1-0_093071_2020-04-27_final
2020-04-27 11:14:02	ga_ls8c_ard_3-1-0_109076_2020-04-27_final
2020-04-30 10:02:49	ga_ls8c_ard_3-1-0_098068_2020-04-30_final
2020-05-06 09:28:05	ga_ls8c_ard_3-1-0_092074_2020-05-05_final
2020-06-12 11:23:42	ga_ls8c_ard_3-1-0_111069_2020-06-12_final
2020-06-15 10:18:33	ga_ls8c_ard_3-1-0_100076_2020-06-15_final
2020-06-28 11:23:51	ga_ls8c_ard_3-1-0_111069_2020-06-28_final
2020-07-14 11:23:57	ga_ls8c_ard_3-1-0_111069_2020-07-14_final
2020-10-02 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-10-02_final
2020-10-13 09:29:00	ga_ls8c_ard_3-1-0_092074_2020-10-12_final
2020-11-15 10:13:48	ga_ls8c_ard_3-1-0_099078_2020-11-15_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-11-28 09:38:34	ga_ls8c_ard_3-1-0_094067_2020-11-28_final
2021-01-01 09:29:20	ga_ls8c_ard_3-2-0_092075_2020-12-31_final
2021-03-10 09:06:14	ga_ls8c_ard_3-2-0_088080_2021-03-09_final
2021-06-27 10:10:13	ga_ls8c_ard_3-2-0_099070_2021-06-27_final
2021-09-23 09:28:46	ga_ls8c_ard_3-2-0_091089_2021-09-22_final
2021-09-24 10:07:39	ga_ls8c_ard_3-2-0_098078_2021-09-24_final
2021-10-11 09:10:56	ga_ls8c_ard_3-2-0_089075_2021-10-10_final
2022-01-21 10:09:43	ga_ls8c_ard_3-2-1_099068_2022-01-21_final
2022-02-01 09:52:19	ga_ls8c_ard_3-2-1_096071_2022-02-01_final
2022-06-07 10:09:49	ga_ls8c_ard_3-2-1_098084_2022-06-07_final
2022-08-01 10:13:56	ga_ls8c_ard_3-2-1_099078_2022-08-01_final
2022-10-20 10:10:54	ga_ls8c_ard_3-2-1_099070_2022-10-20_final
2023-03-17 11:25:38	ga_ls8c_ard_3-2-1_111073_2023-03-17_final
2023-05-29 09:39:08	ga_ls8c_ard_3-2-1_094071_2023-05-29_final
2023-09-05 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-09-05_final
2023-10-04 11:18:26	ga_ls8c_ard_3-2-1_110070_2023-10-04_final
2023-12-07 09:40:18	ga_ls8c_ard_3-2-1_094072_2023-12-07_final
2023-12-10 10:10:51	ga_ls8c_ard_3-2-1_099071_2023-12-10_final
2023-12-10 10:13:15	ga_ls8c_ard_3-2-1_099077_2023-12-10_final
2024-01-05 09:10:35	ga_ls8c_ard_3-2-1_089075_2024-01-04_final
2024-01-11 10:10:03	ga_ls8c_ard_3-2-1_099069_2024-01-11_final
2024-01-23 10:39:06	ga_ls8c_ard_3-2-1_103080_2024-01-23_final
2024-02-02 09:34:31	ga_ls8c_ard_3-2-1_093073_2024-02-02_final
2024-03-02 09:07:05	ga_ls8c_ard_3-2-1_088082_2024-03-01_final
2024-03-07 09:22:21	ga_ls8c_ard_3-2-1_091074_2024-03-06_final
2024-03-28 09:39:25	ga_ls8c_ard_3-2-1_094071_2024-03-28_final
2024-04-07 10:19:18	ga_ls8c_ard_3-2-1_100078_2024-04-07_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