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
2013-08-24 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-08-24_final
2013-10-11 10:11:49	ga_ls8c_ard_3-0-0_099069_2013-10-11_final
2013-11-09 11:19:39	ga_ls8c_ard_3-0-0_110069_2013-11-09_final
2013-12-02 11:27:19	ga_ls8c_ard_3-0-0_111073_2013-12-02_final
2014-01-01 10:04:09	ga_ls8c_ard_3-0-0_097082_2014-01-01_final
2014-01-27 10:35:46	ga_ls8c_ard_3-0-0_103069_2014-01-27_final
2014-06-26 11:42:09	ga_ls8c_ard_3-0-0_113084_2014-06-26_final
2014-07-11 10:52:39	ga_ls8c_ard_3-0-0_106068_2014-07-11_final
2014-12-29 10:39:53	ga_ls8c_ard_3-0-0_103082_2014-12-29_final
2015-02-08 10:33:33	ga_ls8c_ard_3-0-0_102082_2015-02-08_final
2015-03-14 10:16:30	ga_ls8c_ard_3-0-0_100071_2015-03-14_final
2015-06-13 09:56:26	ga_ls8c_ard_3-0-0_097068_2015-06-13_final
2015-06-27 11:51:45	ga_ls8c_ard_3-0-0_115078_2015-06-27_final
2015-07-17 11:23:15	ga_ls8c_ard_3-0-0_111068_2015-07-17_final
2016-01-26 10:30:08	ga_ls8c_ard_3-0-0_102073_2016-01-26_final
2016-03-28 09:06:26	ga_ls8c_ard_3-1-0_088081_2016-03-27_final
2016-04-03 10:06:59	ga_ls8c_ard_3-0-0_098078_2016-04-03_final
2016-06-15 11:37:21	ga_ls8c_ard_3-0-0_113072_2016-06-15_final
2016-06-20 10:21:50	ga_ls8c_ard_3-0-0_100084_2016-06-20_final
2016-07-10 11:34:59	ga_ls8c_ard_3-0-0_112081_2016-07-10_final
2016-11-01 09:45:22	ga_ls8c_ard_3-0-0_094084_2016-11-01_final
2016-11-27 10:19:38	ga_ls8c_ard_3-0-0_100077_2016-11-27_final
2017-03-18 11:13:25	ga_ls8c_ard_3-0-0_109074_2017-03-18_final
2017-07-09 10:16:42	ga_ls8c_ard_3-0-0_100071_2017-07-09_final
2017-08-28 11:47:31	ga_ls8c_ard_3-0-0_114081_2017-08-28_final
2017-10-07 10:55:51	ga_ls8c_ard_3-0-0_106075_2017-10-07_final
2017-10-27 10:28:22	ga_ls8c_ard_3-0-0_102068_2017-10-27_final
2018-04-02 09:56:13	ga_ls8c_ard_3-0-0_097067_2018-04-02_final
2018-06-20 10:56:31	ga_ls8c_ard_3-0-0_106080_2018-06-20_final
2018-07-25 09:51:13	ga_ls8c_ard_3-0-0_095086_2018-07-25_final
2018-08-07 10:54:56	ga_ls8c_ard_3-0-0_106075_2018-08-07_final
2018-09-25 11:41:43	ga_ls8c_ard_3-0-0_113083_2018-09-25_final
2018-11-06 10:35:46	ga_ls8c_ard_3-0-0_103072_2018-11-06_final
2018-11-21 11:31:24	ga_ls8c_ard_3-0-0_112072_2018-11-21_final
2019-02-11 11:19:39	ga_ls8c_ard_3-0-0_110074_2019-02-11_final
2019-02-13 09:34:48	ga_ls8c_ard_3-0-0_092090_2019-02-13_final
2019-03-04 11:37:19	ga_ls8c_ard_3-0-0_113072_2019-03-04_final
2019-03-08 09:34:05	ga_ls8c_ard_3-1-0_093073_2019-03-08_final
2019-03-24 11:13:18	ga_ls8c_ard_3-1-0_109074_2019-03-24_final
2019-05-07 09:56:39	ga_ls8c_ard_3-0-0_097068_2019-05-07_final
2019-06-04 10:22:50	ga_ls8c_ard_3-0-0_101071_2019-06-04_final
2019-06-10 11:23:53	ga_ls8c_ard_3-0-0_111069_2019-06-10_final
2019-06-18 10:35:17	ga_ls8c_ard_3-1-0_103071_2019-06-18_final
2019-06-27 10:28:21	ga_ls8c_ard_3-1-0_102069_2019-06-27_final
2019-07-09 10:55:55	ga_ls8c_ard_3-1-0_106076_2019-07-09_final
2019-10-09 11:20:17	ga_ls8c_ard_3-1-0_110074_2019-10-09_final
2019-10-31 10:44:01	ga_ls8c_ard_3-1-0_104076_2019-10-31_final
2019-11-01 09:47:59	ga_ls8c_ard_3-1-0_095075_2019-11-01_final
2020-01-20 11:23:27	ga_ls8c_ard_3-1-0_111067_2020-01-20_final
2020-02-05 09:51:39	ga_ls8c_ard_3-1-0_095085_2020-02-05_final
2020-03-08 11:23:12	ga_ls8c_ard_3-1-0_111067_2020-03-08_final
2020-05-21 10:24:55	ga_ls8c_ard_3-1-0_101077_2020-05-21_final
2020-06-20 10:35:32	ga_ls8c_ard_3-1-0_103072_2020-06-20_final
2020-09-18 09:35:30	ga_ls8c_ard_3-1-0_093075_2020-09-18_final
2020-10-06 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-10-06_final
2020-10-21 10:20:02	ga_ls8c_ard_3-1-0_100078_2020-10-21_final
2020-11-11 10:36:07	ga_ls8c_ard_3-1-0_103072_2020-11-11_final
2020-12-04 09:07:29	ga_ls8c_ard_3-1-0_088082_2020-12-03_final
2020-12-21 11:24:01	ga_ls8c_ard_3-2-0_111068_2020-12-21_final
2021-01-12 10:49:12	ga_ls8c_ard_3-2-0_105074_2021-01-12_final
2021-01-31 09:39:57	ga_ls8c_ard_3-2-0_094071_2021-01-31_final
2021-04-17 11:47:06	ga_ls8c_ard_3-2-0_114081_2021-04-17_final
2021-04-28 11:25:40	ga_ls8c_ard_3-2-0_111074_2021-04-28_final
2021-04-29 10:33:13	ga_ls8c_ard_3-2-0_102082_2021-04-29_final
2021-05-02 09:27:12	ga_ls8c_ard_3-2-0_091087_2021-05-01_final
2021-05-25 11:07:38	ga_ls8c_ard_3-2-0_108075_2021-05-25_final
2021-06-19 09:27:07	ga_ls8c_ard_3-2-0_091086_2021-06-18_final
2021-07-03 09:33:56	ga_ls8c_ard_3-2-0_093072_2021-07-03_final
2021-07-27 10:25:06	ga_ls8c_ard_3-2-0_101076_2021-07-27_final
2021-07-31 11:35:42	ga_ls8c_ard_3-2-0_113067_2021-07-31_final
2021-09-07 09:23:32	ga_ls8c_ard_3-2-0_091076_2021-09-06_final
2021-09-15 10:14:36	ga_ls8c_ard_3-2-0_099080_2021-09-15_final
2021-10-29 10:36:40	ga_ls8c_ard_3-2-0_103073_2021-10-29_final
2021-12-05 10:54:45	ga_ls8c_ard_3-2-1_106072_2021-12-05_final
2021-12-14 10:46:57	ga_ls8c_ard_3-2-1_105068_2021-12-14_final
2021-12-17 09:40:10	ga_ls8c_ard_3-2-1_094071_2021-12-17_final
2021-12-30 09:16:22	ga_ls8c_ard_3-2-1_089089_2021-12-29_final
2022-01-16 09:57:35	ga_ls8c_ard_3-2-1_096084_2022-01-16_final
2022-01-25 09:52:09	ga_ls8c_ard_3-2-1_095086_2022-01-25_final
2022-03-04 09:14:31	ga_ls8c_ard_3-2-1_089085_2022-03-03_final
2022-03-05 11:31:28	ga_ls8c_ard_3-2-1_112072_2022-03-05_final
2022-05-01 11:23:53	ga_ls8c_ard_3-2-1_111069_2022-05-01_final
2022-06-23 10:03:34	ga_ls8c_ard_3-2-1_098068_2022-06-23_final
2022-06-23 10:04:46	ga_ls8c_ard_3-2-1_098071_2022-06-23_final
2022-07-29 09:46:36	ga_ls8c_ard_3-2-1_094087_2022-07-29_final
2022-09-13 11:32:53	ga_ls8c_ard_3-2-1_112074_2022-09-13_final
2022-09-14 10:34:52	ga_ls8c_ard_3-2-1_103068_2022-09-14_final
2022-11-15 10:50:45	ga_ls8c_ard_3-2-1_105077_2022-11-15_final
2022-12-17 09:12:11	ga_ls8c_ard_3-2-1_089078_2022-12-16_final
2023-01-10 11:38:02	ga_ls8c_ard_3-2-1_113072_2023-01-10_final
2023-02-03 10:49:47	ga_ls8c_ard_3-2-1_105075_2023-02-03_final
2023-03-09 10:35:49	ga_ls8c_ard_3-2-1_103072_2023-03-09_final
2023-04-26 10:33:46	ga_ls8c_ard_3-2-1_103068_2023-04-26_final
2023-07-27 09:23:28	ga_ls8c_ard_3-2-1_091077_2023-07-26_final
2023-08-27 10:18:54	ga_ls8c_ard_3-2-1_100076_2023-08-27_final
2023-11-20 10:35:17	ga_ls8c_ard_3-2-1_103070_2023-11-20_final
2023-12-02 11:00:21	ga_ls8c_ard_3-2-1_107071_2023-12-02_final
2024-02-06 09:12:13	ga_ls8c_ard_3-2-1_089079_2024-02-05_final
2024-02-20 11:00:14	ga_ls8c_ard_3-2-1_107071_2024-02-20_final
2024-03-08 11:47:17	ga_ls8c_ard_3-2-1_114081_2024-03-08_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