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
2013-03-23 10:55:30	ga_ls8c_ard_3-0-0_106069_2013-03-23_final
2013-06-02 11:19:58	ga_ls8c_ard_3-0-0_110069_2013-06-02_final
2013-06-28 10:24:03	ga_ls8c_ard_3-0-0_100084_2013-06-28_final
2013-10-10 11:09:50	ga_ls8c_ard_3-0-0_108075_2013-10-10_final
2014-01-13 10:28:41	ga_ls8c_ard_3-0-0_101082_2014-01-13_final
2014-04-16 09:51:44	ga_ls8c_ard_3-0-0_096070_2014-04-16_final
2014-05-07 10:13:08	ga_ls8c_ard_3-0-0_099078_2014-05-07_final
2014-07-30 11:25:38	ga_ls8c_ard_3-0-0_111073_2014-07-30_final
2014-11-10 11:32:06	ga_ls8c_ard_3-0-0_112073_2014-11-10_final
2015-02-03 11:52:45	ga_ls8c_ard_3-0-0_115079_2015-02-03_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-08-25 09:51:10	ga_ls8c_ard_3-0-0_096069_2015-08-25_final
2015-12-15 09:52:19	ga_ls8c_ard_3-0-0_096071_2015-12-15_final
2015-12-29 11:46:45	ga_ls8c_ard_3-0-0_114079_2015-12-29_final
2015-12-31 11:31:35	ga_ls8c_ard_3-0-0_112072_2015-12-31_final
2016-01-20 11:09:38	ga_ls8c_ard_3-0-0_108079_2016-01-20_final
2016-02-14 11:05:18	ga_ls8c_ard_3-0-0_107084_2016-02-14_final
2016-02-22 10:15:24	ga_ls8c_ard_3-0-0_099083_2016-02-22_final
2016-06-10 11:23:35	ga_ls8c_ard_3-0-0_110084_2016-06-10_final
2016-07-24 10:09:20	ga_ls8c_ard_3-0-0_098083_2016-07-24_final
2016-08-31 11:08:31	ga_ls8c_ard_3-0-0_108076_2016-08-31_final
2016-09-08 10:19:31	ga_ls8c_ard_3-0-0_100077_2016-09-08_final
2016-11-06 11:38:47	ga_ls8c_ard_3-0-0_113074_2016-11-06_final
2016-11-24 09:51:08	ga_ls8c_ard_3-0-0_095083_2016-11-24_final
2016-12-24 11:35:53	ga_ls8c_ard_3-0-0_113067_2016-12-24_final
2017-01-12 10:30:14	ga_ls8c_ard_3-0-0_102073_2017-01-12_final
2017-01-20 09:43:57	ga_ls8c_ard_3-0-0_094081_2017-01-20_final
2017-05-12 11:17:18	ga_ls8c_ard_3-0-0_110069_2017-05-12_final
2017-06-30 10:27:15	ga_ls8c_ard_3-0-0_101082_2017-06-30_final
2017-07-31 09:40:35	ga_ls8c_ard_3-0-0_094073_2017-07-31_final
2017-08-18 11:06:24	ga_ls8c_ard_3-0-0_108071_2017-08-18_final
2017-09-04 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-09-04_final
2017-09-20 10:10:05	ga_ls8c_ard_3-0-0_099069_2017-09-20_final
2017-12-15 09:33:49	ga_ls8c_ard_3-0-0_093071_2017-12-15_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2018-01-11 10:55:40	ga_ls8c_ard_3-0-0_106075_2018-01-11_final
2018-02-19 11:03:32	ga_ls8c_ard_3-0-0_107080_2018-02-19_final
2018-02-20 10:03:55	ga_ls8c_ard_3-0-0_098070_2018-02-20_final
2018-03-10 11:29:53	ga_ls8c_ard_3-0-0_112069_2018-03-10_final
2018-03-31 10:10:11	ga_ls8c_ard_3-0-0_099071_2018-03-31_final
2018-05-16 10:21:41	ga_ls8c_ard_3-0-0_101070_2018-05-16_final
2018-06-11 11:01:00	ga_ls8c_ard_3-0-0_107076_2018-06-11_final
2018-08-03 11:22:25	ga_ls8c_ard_3-0-0_110082_2018-08-03_final
2018-09-15 11:04:35	ga_ls8c_ard_3-0-0_107083_2018-09-15_final
2018-09-20 09:37:52	ga_ls8c_ard_3-0-0_094067_2018-09-20_final
2018-11-14 09:52:20	ga_ls8c_ard_3-0-0_095087_2018-11-14_final
2018-11-23 09:38:10	ga_ls8c_ard_3-0-0_094067_2018-11-23_final
2019-01-18 10:27:54	ga_ls8c_ard_3-0-0_102068_2019-01-18_final
2019-02-27 09:37:55	ga_ls8c_ard_3-0-0_094067_2019-02-27_final
2019-06-21 11:07:48	ga_ls8c_ard_3-1-0_108075_2019-06-21_final
2019-07-14 09:33:59	ga_ls8c_ard_3-1-0_093072_2019-07-14_final
2019-07-30 09:33:41	ga_ls8c_ard_3-1-0_093071_2019-07-30_final
2019-11-29 10:11:03	ga_ls8c_ard_3-1-0_099071_2019-11-29_final
2020-01-15 11:08:07	ga_ls8c_ard_3-1-0_108075_2020-01-15_final
2020-01-20 11:25:26	ga_ls8c_ard_3-1-0_111072_2020-01-20_final
2020-02-01 10:09:13	ga_ls8c_ard_3-1-0_099067_2020-02-01_final
2020-02-25 11:05:21	ga_ls8c_ard_3-1-0_107084_2020-02-25_final
2020-04-30 10:08:48	ga_ls8c_ard_3-1-0_098083_2020-04-30_final
2020-05-05 10:26:54	ga_ls8c_ard_3-1-0_101082_2020-05-05_final
2020-05-11 09:45:24	ga_ls8c_ard_3-1-0_095071_2020-05-11_final
2020-06-08 10:09:06	ga_ls8c_ard_3-1-0_099068_2020-06-08_final
2020-07-14 09:45:52	ga_ls8c_ard_3-1-0_095071_2020-07-14_final
2020-10-25 11:29:48	ga_ls8c_ard_3-1-0_112067_2020-10-25_final
2020-11-12 09:40:54	ga_ls8c_ard_3-1-0_094073_2020-11-12_final
2021-01-21 09:07:40	ga_ls8c_ard_3-2-0_088083_2021-01-20_final
2021-02-01 10:22:49	ga_ls8c_ard_3-2-0_101070_2021-02-01_final
2021-03-06 09:28:36	ga_ls8c_ard_3-2-0_092074_2021-03-05_final
2021-04-05 09:39:35	ga_ls8c_ard_3-2-0_094071_2021-04-05_final
2021-04-22 10:22:43	ga_ls8c_ard_3-2-0_101071_2021-04-22_final
2021-04-25 10:55:35	ga_ls8c_ard_3-2-0_106076_2021-04-25_final
2021-06-18 11:58:26	ga_ls8c_ard_3-2-0_116078_2021-06-18_final
2021-08-05 10:18:59	ga_ls8c_ard_3-2-0_100076_2021-08-05_final
2021-09-01 11:41:04	ga_ls8c_ard_3-2-0_113080_2021-09-01_final
2021-10-25 11:05:23	ga_ls8c_ard_3-2-0_107083_2021-10-25_final
2021-10-27 09:10:57	ga_ls8c_ard_3-2-0_089075_2021-10-26_final
2022-01-15 09:11:32	ga_ls8c_ard_3-2-1_089077_2022-01-14_final
2022-02-13 10:19:23	ga_ls8c_ard_3-2-1_100077_2022-02-13_final
2022-03-01 10:16:55	ga_ls8c_ard_3-2-1_100071_2022-03-01_final
2022-04-05 10:48:46	ga_ls8c_ard_3-2-1_105074_2022-04-05_final
2022-04-28 10:55:20	ga_ls8c_ard_3-2-1_106075_2022-04-28_final
2022-05-28 09:34:10	ga_ls8c_ard_3-2-1_092088_2022-05-28_final
2022-06-16 11:42:13	ga_ls8c_ard_3-2-1_113083_2022-06-16_final
2022-08-16 09:28:23	ga_ls8c_ard_3-2-1_092072_2022-08-15_final
2022-08-22 10:31:00	ga_ls8c_ard_3-2-1_102074_2022-08-22_final
2022-08-22 10:33:48	ga_ls8c_ard_3-2-1_102081_2022-08-22_final
2022-10-07 10:46:36	ga_ls8c_ard_3-2-1_104082_2022-10-07_final
2022-10-31 11:36:30	ga_ls8c_ard_3-2-1_112083_2022-10-31_final
2022-11-13 09:22:16	ga_ls8c_ard_3-2-1_091072_2022-11-12_final
2022-11-25 09:47:21	ga_ls8c_ard_3-2-1_095073_2022-11-25_final
2022-12-29 09:34:51	ga_ls8c_ard_3-2-1_093073_2022-12-29_final
2023-03-01 11:28:56	ga_ls8c_ard_3-2-1_111081_2023-03-01_final
2023-10-13 09:34:13	ga_ls8c_ard_3-2-1_093072_2023-10-13_final
2023-11-07 09:30:26	ga_ls8c_ard_3-2-1_092078_2023-11-07_final
2023-12-11 09:18:02	ga_ls8c_ard_3-2-1_090078_2023-12-10_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-01-03 11:03:27	ga_ls8c_ard_3-2-1_107079_2024-01-03_final
2024-01-17 09:35:46	ga_ls8c_ard_3-2-1_093076_2024-01-17_final
2024-02-02 11:11:48	ga_ls8c_ard_3-2-1_109069_2024-02-02_final
2024-02-20 09:28:32	ga_ls8c_ard_3-2-1_091089_2024-02-19_final
2024-03-03 11:24:26	ga_ls8c_ard_3-2-1_111070_2024-03-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years