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
2013-07-04 11:25:05	ga_ls8c_ard_3-0-0_110082_2013-07-04_final
2013-07-28 10:35:15	ga_ls8c_ard_3-0-0_102081_2013-07-28_final
2014-01-10 11:30:44	ga_ls8c_ard_3-0-0_112067_2014-01-10_final
2014-01-25 10:47:44	ga_ls8c_ard_3-0-0_105068_2014-01-25_final
2014-02-26 10:47:19	ga_ls8c_ard_3-0-0_105068_2014-02-26_final
2014-05-08 10:56:48	ga_ls8c_ard_3-0-0_106079_2014-05-08_final
2014-06-10 11:41:43	ga_ls8c_ard_3-0-0_113083_2014-06-10_final
2014-07-07 11:18:56	ga_ls8c_ard_3-0-0_110072_2014-07-07_final
2015-01-13 11:30:43	ga_ls8c_ard_3-0-0_112070_2015-01-13_final
2015-01-15 11:17:08	ga_ls8c_ard_3-0-0_110067_2015-01-15_final
2015-02-14 11:31:40	ga_ls8c_ard_3-0-0_112073_2015-02-14_final
2015-02-23 11:24:18	ga_ls8c_ard_3-0-0_111070_2015-02-23_final
2015-02-27 11:04:20	ga_ls8c_ard_3-1-0_107082_2015-02-27_final
2015-08-02 11:27:42	ga_ls8c_ard_3-0-0_111079_2015-08-02_final
2015-09-12 11:17:49	ga_ls8c_ard_3-0-0_110069_2015-09-12_final
2015-10-27 10:47:06	ga_ls8c_ard_3-0-0_105069_2015-10-27_final
2015-11-03 10:53:18	ga_ls8c_ard_3-0-0_106069_2015-11-03_final
2016-01-14 11:45:54	ga_ls8c_ard_3-0-0_114077_2016-01-14_final
2016-02-03 11:17:57	ga_ls8c_ard_3-0-0_110069_2016-02-03_final
2016-02-12 11:13:42	ga_ls8c_ard_3-0-0_109074_2016-02-12_final
2016-04-21 11:29:49	ga_ls8c_ard_3-0-0_112069_2016-04-21_final
2016-05-19 11:57:22	ga_ls8c_ard_3-0-0_116076_2016-05-19_final
2016-06-06 11:45:30	ga_ls8c_ard_3-0-0_114077_2016-06-06_final
2016-09-05 11:29:53	ga_ls8c_ard_3-0-0_111083_2016-09-05_final
2016-11-15 11:31:00	ga_ls8c_ard_3-0-0_112070_2016-11-15_final
2017-02-19 11:31:47	ga_ls8c_ard_3-0-0_112073_2017-02-19_final
2017-04-08 11:30:59	ga_ls8c_ard_3-0-0_112072_2017-04-08_final
2017-05-14 11:10:09	ga_ls8c_ard_3-0-0_108082_2017-05-14_final
2017-08-16 11:23:09	ga_ls8c_ard_3-0-0_110082_2017-08-16_final
2017-08-19 11:52:04	ga_ls8c_ard_3-0-0_115077_2017-08-19_final
2017-08-30 11:31:58	ga_ls8c_ard_3-0-0_112073_2017-08-30_final
2017-11-17 10:49:38	ga_ls8c_ard_3-0-0_105075_2017-11-17_final
2018-01-03 11:41:58	ga_ls8c_ard_3-0-0_114067_2018-01-03_final
2018-01-29 10:43:08	ga_ls8c_ard_3-0-0_104075_2018-01-29_final
2018-01-30 11:28:47	ga_ls8c_ard_3-0-0_111081_2018-01-30_final
2018-02-14 10:42:14	ga_ls8c_ard_3-0-0_104073_2018-02-14_final
2018-02-28 10:53:42	ga_ls8c_ard_3-0-0_106071_2018-02-28_final
2018-03-03 11:24:58	ga_ls8c_ard_3-0-0_111072_2018-03-03_final
2018-05-17 11:08:32	ga_ls8c_ard_3-0-0_108079_2018-05-17_final
2018-07-16 11:29:51	ga_ls8c_ard_3-0-0_112070_2018-07-16_final
2018-08-01 11:31:10	ga_ls8c_ard_3-0-0_112073_2018-08-01_final
2018-08-12 11:13:32	ga_ls8c_ard_3-1-0_109075_2018-08-12_final
2018-09-13 11:13:44	ga_ls8c_ard_3-0-0_109075_2018-09-13_final
2018-10-15 11:16:45	ga_ls8c_ard_3-0-0_109082_2018-10-15_final
2019-03-31 11:19:27	ga_ls8c_ard_3-1-0_110074_2019-03-31_final
2019-04-14 11:35:44	ga_ls8c_ard_3-1-0_112084_2019-04-14_final
2019-06-12 11:13:56	ga_ls8c_ard_3-1-0_109075_2019-06-12_final
2019-07-05 11:17:50	ga_ls8c_ard_3-1-0_110069_2019-07-05_final
2019-07-09 10:57:06	ga_ls8c_ard_3-1-0_106079_2019-07-09_final
2019-07-13 10:33:12	ga_ls8c_ard_3-1-0_102081_2019-07-13_final
2019-08-19 10:52:21	ga_ls8c_ard_3-1-0_105082_2019-08-19_final
2019-09-05 11:31:41	ga_ls8c_ard_3-1-0_112072_2019-09-05_final
2019-10-14 11:41:38	ga_ls8c_ard_3-1-0_113081_2019-10-14_final
2019-11-09 10:34:37	ga_ls8c_ard_3-1-0_103068_2019-11-09_final
2019-12-19 11:25:58	ga_ls8c_ard_3-2-0_111073_2019-12-19_final
2020-03-05 10:53:07	ga_ls8c_ard_3-1-0_106069_2020-03-05_final
2020-04-08 10:43:40	ga_ls8c_ard_3-1-0_104077_2020-04-08_final
2020-05-25 11:40:41	ga_ls8c_ard_3-1-0_113081_2020-05-25_final
2020-08-15 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-08-15_final
2020-11-23 11:01:41	ga_ls8c_ard_3-1-0_107074_2020-11-23_final
2020-11-25 10:46:56	ga_ls8c_ard_3-1-0_105068_2020-11-25_final
2020-12-24 10:18:25	ga_ls8c_ard_3-2-0_100074_2020-12-24_final
2020-12-26 10:08:03	ga_ls8c_ard_3-2-0_098079_2020-12-26_final
2021-03-08 09:17:49	ga_ls8c_ard_3-2-0_090078_2021-03-07_final
2021-04-14 09:38:56	ga_ls8c_ard_3-2-0_093085_2021-04-14_final
2021-05-28 11:42:09	ga_ls8c_ard_3-2-0_113084_2021-05-28_final
2021-06-02 10:19:27	ga_ls8c_ard_3-2-0_100078_2021-06-02_final
2021-06-10 09:32:27	ga_ls8c_ard_3-2-0_092084_2021-06-10_final
2021-08-29 11:10:57	ga_ls8c_ard_3-2-0_108082_2021-08-29_final
2021-09-03 11:29:55	ga_ls8c_ard_3-2-0_111083_2021-09-03_final
2021-09-12 11:23:22	ga_ls8c_ard_3-2-0_110082_2021-09-12_final
2021-09-22 10:20:00	ga_ls8c_ard_3-2-0_100078_2021-09-22_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-02-13 10:18:59	ga_ls8c_ard_3-2-1_100076_2022-02-13_final
2022-03-21 09:57:14	ga_ls8c_ard_3-2-1_096084_2022-03-21_final
2022-03-28 09:58:08	ga_ls8c_ard_3-2-1_097071_2022-03-28_final
2022-04-09 10:25:41	ga_ls8c_ard_3-2-1_101078_2022-04-09_final
2022-04-12 09:20:07	ga_ls8c_ard_3-2-1_090084_2022-04-11_final
2022-05-03 11:17:32	ga_ls8c_ard_3-2-1_109084_2022-05-03_final
2022-05-30 09:22:39	ga_ls8c_ard_3-2-1_090090_2022-05-29_final
2022-07-06 09:39:52	ga_ls8c_ard_3-2-1_093086_2022-07-06_final
2022-07-17 09:17:44	ga_ls8c_ard_3-2-1_090077_2022-07-16_final
2022-08-03 09:58:24	ga_ls8c_ard_3-2-1_097070_2022-08-03_final
2022-08-07 09:34:55	ga_ls8c_ard_3-2-1_093073_2022-08-07_final
2022-08-10 10:03:51	ga_ls8c_ard_3-2-1_098068_2022-08-10_final
2022-09-19 09:17:21	ga_ls8c_ard_3-2-1_090075_2022-09-18_final
2022-09-24 09:35:06	ga_ls8c_ard_3-2-1_093073_2022-09-24_final
2022-10-07 10:43:25	ga_ls8c_ard_3-2-1_104074_2022-10-07_final
2022-10-14 09:11:01	ga_ls8c_ard_3-2-1_089075_2022-10-13_final
2022-11-25 09:47:21	ga_ls8c_ard_3-2-1_095073_2022-11-25_final
2022-12-07 10:14:04	ga_ls8c_ard_3-2-1_099078_2022-12-07_final
2022-12-23 11:51:35	ga_ls8c_ard_3-2-1_115075_2022-12-23_final
2023-01-02 10:50:13	ga_ls8c_ard_3-2-1_105076_2023-01-02_final
2023-01-15 10:19:37	ga_ls8c_ard_3-2-1_100077_2023-01-15_final
2023-02-10 09:17:02	ga_ls8c_ard_3-2-1_090075_2023-02-09_final
2023-02-19 09:16:42	ga_ls8c_ard_3-2-1_089090_2023-02-18_final
2023-02-19 10:47:36	ga_ls8c_ard_3-2-1_105070_2023-02-19_final
2023-02-26 09:16:45	ga_ls8c_ard_3-2-1_090075_2023-02-25_final
2023-02-26 09:17:09	ga_ls8c_ard_3-2-1_090076_2023-02-25_final
2023-02-27 09:58:01	ga_ls8c_ard_3-2-1_097070_2023-02-27_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