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
2013-04-30 10:37:37	ga_ls8c_ard_3-0-0_103072_2013-04-30_final
2013-11-09 09:46:45	ga_ls8c_ard_3-0-0_094084_2013-11-09_final
2014-03-25 10:28:23	ga_ls8c_ard_3-0-0_102068_2014-03-25_final
2014-03-27 10:19:10	ga_ls8c_ard_3-0-0_100076_2014-03-27_final
2014-05-28 10:28:25	ga_ls8c_ard_3-0-0_102070_2014-05-28_final
2014-07-23 11:22:10	ga_ls8c_ard_3-0-0_110080_2014-07-23_final
2014-07-29 09:07:04	ga_ls8c_ard_3-0-0_088082_2014-07-28_final
2014-10-16 11:41:04	ga_ls8c_ard_3-0-0_113080_2014-10-16_final
2014-10-27 11:18:06	ga_ls8c_ard_3-0-0_110069_2014-10-27_final
2014-11-26 11:30:52	ga_ls8c_ard_3-0-0_112070_2014-11-26_final
2015-03-11 09:46:26	ga_ls8c_ard_3-0-0_095073_2015-03-11_final
2015-06-06 11:28:40	ga_ls8c_ard_3-0-0_112067_2015-06-06_final
2015-06-24 09:39:09	ga_ls8c_ard_3-0-0_094071_2015-06-24_final
2015-06-27 11:51:21	ga_ls8c_ard_3-0-0_115077_2015-06-27_final
2015-07-26 11:19:30	ga_ls8c_ard_3-0-0_110074_2015-07-26_final
2015-07-29 10:13:56	ga_ls8c_ard_3-0-0_099080_2015-07-29_final
2015-08-30 10:13:43	ga_ls8c_ard_3-0-0_099079_2015-08-30_final
2015-12-08 09:46:56	ga_ls8c_ard_3-0-0_095073_2015-12-08_final
2016-01-09 11:25:45	ga_ls8c_ard_3-0-0_111073_2016-01-09_final
2016-01-14 11:47:30	ga_ls8c_ard_3-0-0_114081_2016-01-14_final
2016-01-21 11:52:29	ga_ls8c_ard_3-0-0_115078_2016-01-21_final
2016-01-29 11:00:14	ga_ls8c_ard_3-0-0_107071_2016-01-29_final
2016-02-26 11:24:23	ga_ls8c_ard_3-0-0_111070_2016-02-26_final
2016-03-28 09:06:02	ga_ls8c_ard_3-0-0_088080_2016-03-27_final
2016-04-13 09:06:44	ga_ls8c_ard_3-0-0_088082_2016-04-12_final
2016-05-04 11:00:59	ga_ls8c_ard_3-0-0_107074_2016-05-04_final
2016-06-13 10:14:01	ga_ls8c_ard_3-0-0_099080_2016-06-13_final
2016-09-14 09:40:27	ga_ls8c_ard_3-0-0_094072_2016-09-14_final
2016-10-08 10:31:57	ga_ls8c_ard_3-0-0_102077_2016-10-08_final
2016-12-18 10:34:54	ga_ls8c_ard_3-0-0_103069_2016-12-18_final
2016-12-19 11:20:33	ga_ls8c_ard_3-0-0_110075_2016-12-19_final
2017-01-27 09:46:05	ga_ls8c_ard_3-0-0_095071_2017-01-27_final
2017-01-28 10:33:20	ga_ls8c_ard_3-0-0_102081_2017-01-28_final
2017-05-04 10:28:33	ga_ls8c_ard_3-0-0_102071_2017-05-04_final
2017-05-28 09:45:47	ga_ls8c_ard_3-0-0_094087_2017-05-28_final
2017-06-04 11:24:07	ga_ls8c_ard_3-0-0_111070_2017-06-04_final
2017-08-07 09:46:48	ga_ls8c_ard_3-0-0_095073_2017-08-07_final
2017-08-29 10:49:06	ga_ls8c_ard_3-0-0_105074_2017-08-29_final
2017-09-03 11:11:15	ga_ls8c_ard_3-0-0_108083_2017-09-03_final
2017-11-21 10:25:41	ga_ls8c_ard_3-0-0_101077_2017-11-21_final
2017-11-22 11:07:21	ga_ls8c_ard_3-0-0_108073_2017-11-22_final
2018-01-11 10:53:16	ga_ls8c_ard_3-0-0_106069_2018-01-11_final
2018-01-13 09:06:48	ga_ls8c_ard_3-1-0_088081_2018-01-12_final
2018-02-07 10:36:30	ga_ls8c_ard_3-0-0_103074_2018-02-07_final
2018-02-11 10:13:45	ga_ls8c_ard_3-0-0_099079_2018-02-11_final
2018-06-16 09:41:07	ga_ls8c_ard_3-0-0_094077_2018-06-16_final
2018-09-21 10:26:43	ga_ls8c_ard_3-0-0_101081_2018-09-21_final
2018-09-22 11:06:48	ga_ls8c_ard_3-0-0_108073_2018-09-22_final
2018-10-12 10:42:39	ga_ls8c_ard_3-0-0_104074_2018-10-12_final
2018-11-14 09:47:32	ga_ls8c_ard_3-0-0_095075_2018-11-14_final
2018-11-22 10:35:23	ga_ls8c_ard_3-0-0_103071_2018-11-22_final
2018-11-29 09:06:39	ga_ls8c_ard_3-1-0_088081_2018-11-28_final
2019-03-19 10:57:10	ga_ls8c_ard_3-1-0_106080_2019-03-19_final
2019-04-07 09:46:19	ga_ls8c_ard_3-1-0_095073_2019-04-07_final
2019-11-02 10:28:27	ga_ls8c_ard_3-1-0_102068_2019-11-02_final
2019-11-14 10:55:32	ga_ls8c_ard_3-1-0_106074_2019-11-14_final
2020-02-11 10:49:03	ga_ls8c_ard_3-1-0_105074_2020-02-11_final
2020-03-05 10:53:55	ga_ls8c_ard_3-1-0_106071_2020-03-05_final
2020-07-11 10:53:02	ga_ls8c_ard_3-1-0_106069_2020-07-11_final
2020-07-22 10:35:45	ga_ls8c_ard_3-1-0_103072_2020-07-22_final
2020-07-26 11:51:08	ga_ls8c_ard_3-1-0_115075_2020-07-26_final
2021-01-15 09:46:23	ga_ls8c_ard_3-2-0_094087_2021-01-15_final
2021-01-29 09:57:54	ga_ls8c_ard_3-2-0_096085_2021-01-29_final
2021-03-24 10:53:48	ga_ls8c_ard_3-2-0_106071_2021-03-24_final
2021-07-19 09:39:34	ga_ls8c_ard_3-2-0_093086_2021-07-19_final
2021-08-02 09:44:28	ga_ls8c_ard_3-2-0_095067_2021-08-02_final
2021-08-14 10:10:28	ga_ls8c_ard_3-2-0_099070_2021-08-14_final
2021-12-30 09:13:34	ga_ls8c_ard_3-2-1_089082_2021-12-29_final
2022-03-07 11:20:18	ga_ls8c_ard_3-2-1_110075_2022-03-07_final
2022-04-28 09:17:39	ga_ls8c_ard_3-2-1_090078_2022-04-27_final
2022-05-12 09:33:45	ga_ls8c_ard_3-2-1_092087_2022-05-12_final
2022-06-17 10:41:25	ga_ls8c_ard_3-2-1_104070_2022-06-17_final
2022-07-12 10:36:04	ga_ls8c_ard_3-2-1_103072_2022-07-12_final
2022-07-27 11:31:50	ga_ls8c_ard_3-2-1_112072_2022-07-27_final
2022-09-27 10:04:00	ga_ls8c_ard_3-2-1_098068_2022-09-27_final
2022-09-27 10:10:23	ga_ls8c_ard_3-2-1_098084_2022-09-27_final
2022-11-26 10:34:13	ga_ls8c_ard_3-2-1_102082_2022-11-26_final
2022-12-31 11:05:22	ga_ls8c_ard_3-2-1_107083_2022-12-31_final
2023-01-10 11:38:02	ga_ls8c_ard_3-2-1_113072_2023-01-10_final
2023-03-10 09:41:00	ga_ls8c_ard_3-2-1_094074_2023-03-10_final
2023-03-21 09:21:58	ga_ls8c_ard_3-2-1_091073_2023-03-20_final
2023-03-22 10:07:36	ga_ls8c_ard_3-2-1_098079_2023-03-22_final
2023-04-11 11:23:27	ga_ls8c_ard_3-2-1_110084_2023-04-11_final
2023-04-26 10:33:46	ga_ls8c_ard_3-2-1_103068_2023-04-26_final
2023-05-11 09:56:41	ga_ls8c_ard_3-2-1_096084_2023-05-11_final
2023-07-02 09:32:40	ga_ls8c_ard_3-2-1_092085_2023-07-02_final
2023-07-05 11:38:06	ga_ls8c_ard_3-2-1_113074_2023-07-05_final
2023-07-29 09:15:55	ga_ls8c_ard_3-2-1_089089_2023-07-28_final
2023-08-03 09:29:19	ga_ls8c_ard_3-2-1_092076_2023-08-02_final
2023-08-06 11:38:18	ga_ls8c_ard_3-2-1_113074_2023-08-06_final
2023-08-06 11:41:30	ga_ls8c_ard_3-2-1_113082_2023-08-06_final
2023-09-29 09:27:47	ga_ls8c_ard_3-2-1_091087_2023-09-28_final
2023-10-03 10:35:58	ga_ls8c_ard_3-2-1_103072_2023-10-03_final
2023-10-08 10:52:56	ga_ls8c_ard_3-2-1_106068_2023-10-08_final
2023-12-05 11:35:59	ga_ls8c_ard_3-2-1_112083_2023-12-05_final
2023-12-23 09:41:14	ga_ls8c_ard_3-2-1_094074_2023-12-23_final
2024-01-28 09:22:42	ga_ls8c_ard_3-2-1_090090_2024-01-27_final
2024-01-29 10:00:47	ga_ls8c_ard_3-2-1_097077_2024-01-29_final
2024-02-28 10:14:19	ga_ls8c_ard_3-2-1_099080_2024-02-28_final
2024-03-05 11:11:38	ga_ls8c_ard_3-2-1_109069_2024-03-05_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