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
2013-04-20 11:43:26	ga_ls8c_ard_3-0-0_113082_2013-04-20_final
2013-12-06 11:05:23	ga_ls8c_ard_3-0-0_107080_2013-12-06_final
2014-03-21 10:57:59	ga_ls8c_ard_3-0-0_106080_2014-03-21_final
2014-04-13 11:04:59	ga_ls8c_ard_3-0-0_107083_2014-04-13_final
2014-06-12 11:22:59	ga_ls8c_ard_3-0-0_111067_2014-06-12_final
2014-08-11 11:52:27	ga_ls8c_ard_3-0-0_115078_2014-08-11_final
2014-10-18 11:27:55	ga_ls8c_ard_3-0-0_111078_2014-10-18_final
2015-01-15 11:18:20	ga_ls8c_ard_3-0-0_110070_2015-01-15_final
2015-01-19 10:52:47	ga_ls8c_ard_3-0-0_106068_2015-01-19_final
2015-02-16 11:19:43	ga_ls8c_ard_3-0-0_110074_2015-02-16_final
2015-05-18 11:01:59	ga_ls8c_ard_3-0-0_107078_2015-05-18_final
2015-06-02 11:57:43	ga_ls8c_ard_3-0-0_116078_2015-06-02_final
2015-08-09 11:29:07	ga_ls8c_ard_3-0-0_112067_2015-08-09_final
2015-11-13 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-11-13_final
2015-12-24 11:26:13	ga_ls8c_ard_3-0-0_111074_2015-12-24_final
2016-01-02 11:20:24	ga_ls8c_ard_3-0-0_110075_2016-01-02_final
2016-05-27 11:05:35	ga_ls8c_ard_3-0-0_108070_2016-05-27_final
2016-06-17 11:23:48	ga_ls8c_ard_3-0-0_111069_2016-06-17_final
2016-09-23 11:13:58	ga_ls8c_ard_3-0-0_109074_2016-09-23_final
2017-07-15 11:17:44	ga_ls8c_ard_3-0-0_110069_2017-07-15_final
2017-08-09 11:16:32	ga_ls8c_ard_3-0-0_109081_2017-08-09_final
2017-12-15 11:11:54	ga_ls8c_ard_3-0-0_109069_2017-12-15_final
2018-06-04 10:54:22	ga_ls8c_ard_3-0-0_106075_2018-06-04_final
2018-07-16 11:30:39	ga_ls8c_ard_3-0-0_112072_2018-07-16_final
2018-08-10 11:23:52	ga_ls8c_ard_3-0-0_111070_2018-08-10_final
2018-10-01 11:01:06	ga_ls8c_ard_3-0-0_107074_2018-10-01_final
2018-12-07 11:29:22	ga_ls8c_ard_3-0-0_112067_2018-12-07_final
2018-12-18 11:16:47	ga_ls8c_ard_3-0-0_109082_2018-12-18_final
2019-01-10 11:18:10	ga_ls8c_ard_3-0-0_110070_2019-01-10_final
2019-01-13 11:51:03	ga_ls8c_ard_3-0-0_115075_2019-01-13_final
2019-04-27 11:01:33	ga_ls8c_ard_3-0-0_107076_2019-04-27_final
2019-05-14 11:44:11	ga_ls8c_ard_3-0-0_114074_2019-05-14_final
2019-06-19 11:18:57	ga_ls8c_ard_3-1-0_110072_2019-06-19_final
2019-07-21 11:19:05	ga_ls8c_ard_3-1-0_110072_2019-07-21_final
2019-08-24 11:07:43	ga_ls8c_ard_3-1-0_108074_2019-08-24_final
2020-02-14 11:17:09	ga_ls8c_ard_3-1-0_110067_2020-02-14_final
2020-04-20 11:07:06	ga_ls8c_ard_3-1-0_108074_2020-04-20_final
2020-07-14 11:25:33	ga_ls8c_ard_3-1-0_111073_2020-07-14_final
2020-09-09 11:18:31	ga_ls8c_ard_3-1-0_110070_2020-09-09_final
2020-11-10 09:52:52	ga_ls8c_ard_3-1-0_096072_2020-11-10_final
2020-12-02 10:55:56	ga_ls8c_ard_3-1-0_106075_2020-12-02_final
2020-12-16 11:11:05	ga_ls8c_ard_3-1-0_108082_2020-12-16_final
2020-12-23 09:39:33	ga_ls8c_ard_3-2-0_093085_2020-12-23_final
2020-12-25 09:20:24	ga_ls8c_ard_3-2-0_091068_2020-12-24_final
2021-01-13 09:57:34	ga_ls8c_ard_3-2-0_096084_2021-01-13_final
2021-01-30 10:34:23	ga_ls8c_ard_3-2-0_103068_2021-01-30_final
2021-02-13 10:46:42	ga_ls8c_ard_3-2-0_105068_2021-02-13_final
2021-03-10 10:41:32	ga_ls8c_ard_3-2-0_104071_2021-03-10_final
2021-03-29 11:17:30	ga_ls8c_ard_3-2-0_109084_2021-03-29_final
2021-04-09 09:16:26	ga_ls8c_ard_3-2-0_090075_2021-04-08_final
2021-05-07 11:17:24	ga_ls8c_ard_3-2-0_110069_2021-05-07_final
2021-06-23 10:34:31	ga_ls8c_ard_3-2-0_103069_2021-06-23_final
2021-06-24 11:16:59	ga_ls8c_ard_3-2-0_110067_2021-06-24_final
2021-07-04 10:21:36	ga_ls8c_ard_3-2-0_100083_2021-07-04_final
2021-07-30 10:56:01	ga_ls8c_ard_3-2-0_106076_2021-07-30_final
2021-08-22 10:59:57	ga_ls8c_ard_3-2-0_107070_2021-08-22_final
2021-10-17 10:10:45	ga_ls8c_ard_3-2-0_099070_2021-10-17_final
2021-10-28 11:32:42	ga_ls8c_ard_3-2-0_112074_2021-10-28_final
2021-11-01 09:33:29	ga_ls8c_ard_3-2-0_092085_2021-11-01_final
2021-11-14 10:40:12	ga_ls8c_ard_3-2-0_103082_2021-11-14_final
2021-11-29 11:32:38	ga_ls8c_ard_3-2-0_112074_2021-11-29_final
2022-01-22 10:53:46	ga_ls8c_ard_3-2-1_106070_2022-01-22_final
2022-01-31 10:47:33	ga_ls8c_ard_3-2-1_105070_2022-01-31_final
2022-02-03 09:39:58	ga_ls8c_ard_3-2-1_094071_2022-02-03_final
2022-02-05 09:28:00	ga_ls8c_ard_3-2-1_092072_2022-02-04_final
2022-02-14 09:28:57	ga_ls8c_ard_3-2-1_091090_2022-02-13_final
2022-03-03 10:04:57	ga_ls8c_ard_3-2-1_098072_2022-03-03_final
2022-03-17 10:16:49	ga_ls8c_ard_3-2-1_100071_2022-03-17_final
2022-03-19 10:04:26	ga_ls8c_ard_3-2-1_098071_2022-03-19_final
2022-05-05 09:26:19	ga_ls8c_ard_3-2-1_091084_2022-05-04_final
2022-05-21 10:59:43	ga_ls8c_ard_3-2-1_107070_2022-05-21_final
2022-07-27 09:58:09	ga_ls8c_ard_3-2-1_096085_2022-07-27_final
2022-09-10 11:00:22	ga_ls8c_ard_3-2-1_107070_2022-09-10_final
2022-10-01 09:45:39	ga_ls8c_ard_3-2-1_094084_2022-10-01_final
2022-12-16 10:09:48	ga_ls8c_ard_3-2-1_098083_2022-12-16_final
2022-12-22 09:29:26	ga_ls8c_ard_3-2-1_092075_2022-12-21_final
2023-01-08 10:15:31	ga_ls8c_ard_3-2-1_099082_2023-01-08_final
2023-03-17 11:23:38	ga_ls8c_ard_3-2-1_111068_2023-03-17_final
2023-03-17 11:24:50	ga_ls8c_ard_3-2-1_111071_2023-03-17_final
2023-03-27 10:24:30	ga_ls8c_ard_3-2-1_101075_2023-03-27_final
2023-03-30 10:55:23	ga_ls8c_ard_3-2-1_106075_2023-03-30_final
2023-04-28 10:23:47	ga_ls8c_ard_3-2-1_101074_2023-04-28_final
2023-05-04 11:26:19	ga_ls8c_ard_3-2-1_111076_2023-05-04_final
2023-05-18 11:37:42	ga_ls8c_ard_3-2-1_113074_2023-05-18_final
2023-05-20 11:22:58	ga_ls8c_ard_3-2-1_111068_2023-05-20_final
2023-06-25 09:22:23	ga_ls8c_ard_3-2-1_091075_2023-06-24_final
2023-07-04 10:52:02	ga_ls8c_ard_3-2-1_106067_2023-07-04_final
2023-07-18 09:28:22	ga_ls8c_ard_3-2-1_092074_2023-07-17_final
2023-07-19 10:09:38	ga_ls8c_ard_3-2-1_099069_2023-07-19_final
2023-07-19 10:10:25	ga_ls8c_ard_3-2-1_099071_2023-07-19_final
2023-07-27 09:28:40	ga_ls8c_ard_3-2-1_091090_2023-07-26_final
2023-08-08 09:52:15	ga_ls8c_ard_3-2-1_095087_2023-08-08_final
2023-08-22 10:03:56	ga_ls8c_ard_3-2-1_097085_2023-08-22_final
2023-10-31 09:28:41	ga_ls8c_ard_3-2-1_091089_2023-10-30_final
2023-11-28 11:27:07	ga_ls8c_ard_3-2-1_111076_2023-11-28_final
2023-12-02 09:23:04	ga_ls8c_ard_3-2-1_091075_2023-12-01_final
2023-12-07 09:41:06	ga_ls8c_ard_3-2-1_094074_2023-12-07_final
2023-12-11 09:22:02	ga_ls8c_ard_3-2-1_090088_2023-12-10_final
2024-02-02 09:35:19	ga_ls8c_ard_3-2-1_093075_2024-02-02_final
2024-03-04 10:28:47	ga_ls8c_ard_3-2-1_102070_2024-03-04_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