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
2013-03-22 10:20:30	ga_ls8c_ard_3-0-0_100078_2013-03-22_final
2013-05-26 11:16:10	ga_ls8c_ard_3-1-0_109075_2013-05-26_final
2013-07-23 10:11:05	ga_ls8c_ard_3-0-0_099067_2013-07-23_final
2013-10-08 09:40:07	ga_ls8c_ard_3-0-0_094067_2013-10-08_final
2013-10-08 09:47:42	ga_ls8c_ard_3-0-0_094086_2013-10-08_final
2013-11-07 11:33:37	ga_ls8c_ard_3-0-0_112073_2013-11-07_final
2014-01-06 10:21:02	ga_ls8c_ard_3-0-0_100078_2014-01-06_final
2014-04-28 10:19:30	ga_ls8c_ard_3-0-0_100078_2014-04-28_final
2014-06-30 11:14:16	ga_ls8c_ard_3-0-0_109076_2014-06-30_final
2014-07-05 11:31:41	ga_ls8c_ard_3-0-0_112073_2014-07-05_final
2014-08-01 11:14:05	ga_ls8c_ard_3-0-0_109075_2014-08-01_final
2014-08-25 10:22:46	ga_ls8c_ard_3-0-0_101070_2014-08-25_final
2014-09-07 11:32:00	ga_ls8c_ard_3-0-0_112073_2014-09-07_final
2014-09-16 11:24:14	ga_ls8c_ard_3-0-0_111069_2014-09-16_final
2014-09-29 10:52:31	ga_ls8c_ard_3-0-0_106067_2014-09-29_final
2014-12-07 09:32:35	ga_ls8c_ard_3-1-0_093068_2014-12-07_final
2014-12-12 11:31:32	ga_ls8c_ard_3-0-0_112072_2014-12-12_final
2014-12-30 11:17:09	ga_ls8c_ard_3-0-0_110067_2014-12-30_final
2015-04-10 09:56:32	ga_ls8c_ard_3-0-0_097068_2015-04-10_final
2015-05-17 10:18:19	ga_ls8c_ard_3-0-0_100077_2015-05-17_final
2015-06-14 09:05:37	ga_ls8c_ard_3-0-0_088080_2015-06-13_final
2015-07-03 11:13:56	ga_ls8c_ard_3-0-0_109076_2015-07-03_final
2015-07-10 09:39:20	ga_ls8c_ard_3-0-0_094071_2015-07-10_final
2015-07-11 10:26:59	ga_ls8c_ard_3-0-0_101082_2015-07-11_final
2015-07-17 11:23:39	ga_ls8c_ard_3-0-0_111069_2015-07-17_final
2015-07-27 10:22:18	ga_ls8c_ard_3-0-0_101070_2015-07-27_final
2015-09-05 11:14:21	ga_ls8c_ard_3-0-0_109076_2015-09-05_final
2016-01-02 11:17:13	ga_ls8c_ard_3-0-0_110067_2016-01-02_final
2016-02-24 09:57:52	ga_ls8c_ard_3-1-0_097070_2016-02-24_final
2016-03-11 09:59:49	ga_ls8c_ard_3-0-0_097075_2016-03-11_final
2016-05-08 10:37:25	ga_ls8c_ard_3-0-0_103077_2016-05-08_final
2016-07-20 10:33:38	ga_ls8c_ard_3-0-0_102082_2016-07-20_final
2016-10-16 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-10-16_final
2017-01-20 09:43:33	ga_ls8c_ard_3-0-0_094080_2017-01-20_final
2017-03-30 09:56:45	ga_ls8c_ard_3-0-0_097068_2017-03-30_final
2017-05-19 11:23:34	ga_ls8c_ard_3-0-0_111069_2017-05-19_final
2017-07-01 11:07:43	ga_ls8c_ard_3-0-0_108075_2017-07-01_final
2017-07-02 10:08:55	ga_ls8c_ard_3-0-0_099067_2017-07-02_final
2017-10-17 11:31:46	ga_ls8c_ard_3-0-0_112072_2017-10-17_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2017-12-27 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-12-27_final
2018-02-24 11:16:51	ga_ls8c_ard_3-0-0_110067_2018-02-24_final
2018-08-25 10:45:31	ga_ls8c_ard_3-0-0_104082_2018-08-25_final
2018-09-21 10:22:20	ga_ls8c_ard_3-0-0_101070_2018-09-21_final
2019-01-01 11:23:10	ga_ls8c_ard_3-0-0_111067_2019-01-01_final
2019-02-28 10:22:22	ga_ls8c_ard_3-0-0_101070_2019-02-28_final
2019-03-18 10:08:43	ga_ls8c_ard_3-1-0_099067_2019-03-18_final
2019-06-12 11:13:32	ga_ls8c_ard_3-1-0_109074_2019-06-12_final
2019-10-23 11:32:16	ga_ls8c_ard_3-1-0_112073_2019-10-23_final
2019-11-29 10:15:50	ga_ls8c_ard_3-1-0_099083_2019-11-29_final
2019-12-03 09:52:18	ga_ls8c_ard_3-1-0_095086_2019-12-03_final
2020-01-19 09:07:17	ga_ls8c_ard_3-1-0_088082_2020-01-18_final
2020-01-22 09:32:12	ga_ls8c_ard_3-1-0_093067_2020-01-22_final
2020-02-28 09:57:45	ga_ls8c_ard_3-1-0_096085_2020-02-28_final
2020-03-10 09:37:32	ga_ls8c_ard_3-1-0_093081_2020-03-10_final
2020-05-13 11:13:08	ga_ls8c_ard_3-1-0_109074_2020-05-13_final
2020-06-23 11:07:40	ga_ls8c_ard_3-1-0_108075_2020-06-23_final
2020-06-30 11:13:30	ga_ls8c_ard_3-1-0_109074_2020-06-30_final
2020-07-10 10:13:21	ga_ls8c_ard_3-1-0_099078_2020-07-10_final
2020-07-16 11:13:36	ga_ls8c_ard_3-1-0_109074_2020-07-16_final
2020-09-02 11:17:53	ga_ls8c_ard_3-1-0_109084_2020-09-02_final
2020-09-12 10:08:57	ga_ls8c_ard_3-2-1_099066_2020-09-12_final
2021-01-26 09:26:37	ga_ls8c_ard_3-2-0_091084_2021-01-25_final
2021-03-08 09:18:37	ga_ls8c_ard_3-2-0_090080_2021-03-07_final
2021-03-15 09:22:20	ga_ls8c_ard_3-2-0_091074_2021-03-14_final
2021-05-14 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-05-14_final
2021-06-01 09:33:23	ga_ls8c_ard_3-2-0_093071_2021-06-01_final
2021-06-03 09:22:14	ga_ls8c_ard_3-2-0_091074_2021-06-02_final
2021-06-17 09:38:41	ga_ls8c_ard_3-2-0_093084_2021-06-17_final
2021-07-01 09:49:05	ga_ls8c_ard_3-2-0_095079_2021-07-01_final
2021-07-05 09:21:59	ga_ls8c_ard_3-2-0_091073_2021-07-04_final
2021-09-03 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-09-03_final
2021-10-12 11:31:53	ga_ls8c_ard_3-2-0_112072_2021-10-12_final
2021-11-15 09:45:46	ga_ls8c_ard_3-2-0_094085_2021-11-15_final
2021-12-20 10:16:38	ga_ls8c_ard_3-2-1_099085_2021-12-20_final
2022-02-23 09:18:19	ga_ls8c_ard_3-2-1_090079_2022-02-22_final
2022-04-02 10:19:02	ga_ls8c_ard_3-2-1_100077_2022-04-02_final
2022-05-14 09:17:25	ga_ls8c_ard_3-2-1_090077_2022-05-13_final
2022-07-07 10:19:33	ga_ls8c_ard_3-2-1_100077_2022-07-07_final
2022-07-23 11:58:31	ga_ls8c_ard_3-2-1_116077_2022-07-23_final
2022-07-30 10:23:05	ga_ls8c_ard_3-2-1_101070_2022-07-30_final
2022-08-07 11:14:12	ga_ls8c_ard_3-2-1_109074_2022-08-07_final
2022-11-18 09:40:44	ga_ls8c_ard_3-2-1_094072_2022-11-18_final
2022-12-11 11:24:13	ga_ls8c_ard_3-2-1_111068_2022-12-11_final
2023-04-09 11:31:28	ga_ls8c_ard_3-2-1_112073_2023-04-09_final
2023-04-15 09:16:15	ga_ls8c_ard_3-2-1_090075_2023-04-14_final
2023-06-14 09:39:41	ga_ls8c_ard_3-2-1_094072_2023-06-14_final
2023-06-14 11:17:22	ga_ls8c_ard_3-2-1_110069_2023-06-14_final
2023-07-11 09:27:22	ga_ls8c_ard_3-2-1_091087_2023-07-10_final
2023-07-15 10:39:32	ga_ls8c_ard_3-2-1_103082_2023-07-15_final
2023-09-09 11:23:41	ga_ls8c_ard_3-2-1_111068_2023-09-09_final
2023-10-06 09:34:22	ga_ls8c_ard_3-2-1_092088_2023-10-06_final
2023-10-11 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-10-11_final
2023-10-18 09:56:19	ga_ls8c_ard_3-2-1_096081_2023-10-18_final
2023-10-27 11:23:54	ga_ls8c_ard_3-2-1_111068_2023-10-27_final
2024-01-14 10:40:57	ga_ls8c_ard_3-2-1_104069_2024-01-14_final
2024-01-31 09:46:27	ga_ls8c_ard_3-2-1_095072_2024-01-31_final
2024-02-26 10:27:30	ga_ls8c_ard_3-2-1_101082_2024-02-26_final
2024-03-01 09:56:45	ga_ls8c_ard_3-2-1_097067_2024-03-01_final
2024-04-01 10:52:24	ga_ls8c_ard_3-2-1_106068_2024-04-01_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