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
2013-04-01 10:08:27	ga_ls8c_ard_3-0-0_099069_2013-04-01_final
2013-07-03 10:39:49	ga_ls8c_ard_3-0-0_103077_2013-07-03_final
2013-11-07 11:33:13	ga_ls8c_ard_3-0-0_112072_2013-11-07_final
2013-12-19 10:30:20	ga_ls8c_ard_3-0-0_102070_2013-12-19_final
2014-06-14 11:13:26	ga_ls8c_ard_3-0-0_109074_2014-06-14_final
2014-07-01 10:17:28	ga_ls8c_ard_3-0-0_100073_2014-07-01_final
2014-08-03 11:01:21	ga_ls8c_ard_3-0-0_107074_2014-08-03_final
2014-10-27 11:20:06	ga_ls8c_ard_3-0-0_110074_2014-10-27_final
2014-12-17 10:10:27	ga_ls8c_ard_3-0-0_099070_2014-12-17_final
2015-02-27 11:01:57	ga_ls8c_ard_3-0-0_107076_2015-02-27_final
2015-05-11 10:51:27	ga_ls8c_ard_3-0-0_106067_2015-05-11_final
2015-08-08 10:51:50	ga_ls8c_ard_3-0-0_105082_2015-08-08_final
2015-10-27 10:49:06	ga_ls8c_ard_3-0-0_105074_2015-10-27_final
2015-12-05 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-05_final
2015-12-20 10:15:15	ga_ls8c_ard_3-0-0_099082_2015-12-20_final
2015-12-31 11:29:35	ga_ls8c_ard_3-0-0_112067_2015-12-31_final
2016-04-24 10:24:59	ga_ls8c_ard_3-0-0_101077_2016-04-24_final
2016-07-06 10:21:35	ga_ls8c_ard_3-0-0_100083_2016-07-06_final
2016-07-20 10:28:51	ga_ls8c_ard_3-0-0_102070_2016-07-20_final
2016-07-28 09:38:14	ga_ls8c_ard_3-0-0_094067_2016-07-28_final
2016-08-27 11:35:37	ga_ls8c_ard_3-0-0_112082_2016-08-27_final
2016-09-25 11:00:00	ga_ls8c_ard_3-0-0_107070_2016-09-25_final
2016-09-26 10:04:23	ga_ls8c_ard_3-0-0_098070_2016-09-26_final
2016-10-23 11:26:02	ga_ls8c_ard_3-0-0_111073_2016-10-23_final
2016-12-08 09:57:29	ga_ls8c_ard_3-0-0_097068_2016-12-08_final
2017-01-09 11:35:50	ga_ls8c_ard_3-0-0_113067_2017-01-09_final
2017-03-24 10:34:40	ga_ls8c_ard_3-0-0_103070_2017-03-24_final
2017-05-05 11:13:02	ga_ls8c_ard_3-0-0_109074_2017-05-05_final
2017-05-15 11:51:50	ga_ls8c_ard_3-0-0_115078_2017-05-15_final
2017-06-18 09:56:53	ga_ls8c_ard_3-0-0_097068_2017-06-18_final
2017-06-26 10:48:46	ga_ls8c_ard_3-0-0_105074_2017-06-26_final
2017-08-29 10:49:30	ga_ls8c_ard_3-0-0_105075_2017-08-29_final
2017-10-10 11:24:22	ga_ls8c_ard_3-0-0_111069_2017-10-10_final
2017-11-15 11:03:12	ga_ls8c_ard_3-0-0_107078_2017-11-15_final
2018-02-22 11:32:02	ga_ls8c_ard_3-0-0_112074_2018-02-22_final
2018-03-05 11:13:00	ga_ls8c_ard_3-0-0_109073_2018-03-05_final
2018-04-11 09:56:44	ga_ls8c_ard_3-0-0_096084_2018-04-11_final
2018-04-13 11:18:03	ga_ls8c_ard_3-0-0_110071_2018-04-13_final
2018-04-16 10:15:37	ga_ls8c_ard_3-0-0_099085_2018-04-16_final
2018-07-05 10:14:36	ga_ls8c_ard_3-0-0_099083_2018-07-05_final
2018-10-02 10:02:42	ga_ls8c_ard_3-0-0_098067_2018-10-02_final
2018-11-03 11:46:56	ga_ls8c_ard_3-0-0_114080_2018-11-03_final
2018-11-10 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-10_final
2018-12-31 09:07:00	ga_ls8c_ard_3-0-0_088082_2018-12-30_final
2019-02-25 09:51:53	ga_ls8c_ard_3-0-0_096071_2019-02-25_final
2019-08-22 09:46:22	ga_ls8c_ard_3-1-0_094087_2019-08-22_final
2019-09-20 10:49:18	ga_ls8c_ard_3-1-0_105074_2019-09-20_final
2019-10-07 11:29:51	ga_ls8c_ard_3-1-0_112067_2019-10-07_final
2019-10-30 11:38:50	ga_ls8c_ard_3-1-0_113074_2019-10-30_final
2019-11-03 11:14:54	ga_ls8c_ard_3-1-0_109076_2019-11-03_final
2019-11-04 10:21:41	ga_ls8c_ard_3-1-0_100082_2019-11-04_final
2019-12-25 10:48:04	ga_ls8c_ard_3-1-0_105071_2019-12-25_final
2020-01-20 11:24:15	ga_ls8c_ard_3-1-0_111069_2020-01-20_final
2020-01-25 10:03:29	ga_ls8c_ard_3-1-0_098068_2020-01-25_final
2020-01-26 10:49:08	ga_ls8c_ard_3-1-0_105074_2020-01-26_final
2020-02-01 10:09:13	ga_ls8c_ard_3-1-0_099067_2020-02-01_final
2020-02-28 11:29:27	ga_ls8c_ard_3-1-0_112067_2020-02-28_final
2020-03-21 10:58:11	ga_ls8c_ard_3-1-0_106082_2020-03-21_final
2020-03-24 09:46:35	ga_ls8c_ard_3-1-0_095073_2020-03-24_final
2020-03-26 11:14:17	ga_ls8c_ard_3-1-0_109076_2020-03-26_final
2020-07-17 11:57:16	ga_ls8c_ard_3-1-0_116075_2020-07-17_final
2020-07-26 10:13:03	ga_ls8c_ard_3-1-0_099077_2020-07-26_final
2020-09-18 11:12:47	ga_ls8c_ard_3-1-0_109071_2020-09-18_final
2020-10-31 10:58:42	ga_ls8c_ard_3-1-0_106082_2020-10-31_final
2021-01-12 10:49:12	ga_ls8c_ard_3-2-0_105074_2021-01-12_final
2021-03-09 09:57:53	ga_ls8c_ard_3-2-0_097070_2021-03-09_final
2021-04-23 09:29:05	ga_ls8c_ard_3-2-0_092076_2021-04-22_final
2021-07-26 09:40:14	ga_ls8c_ard_3-2-0_094072_2021-07-26_final
2021-08-21 10:19:28	ga_ls8c_ard_3-2-0_100077_2021-08-21_final
2021-09-29 10:25:49	ga_ls8c_ard_3-2-0_101077_2021-09-29_final
2021-10-11 10:47:01	ga_ls8c_ard_3-2-0_105068_2021-10-11_final
2021-12-18 10:25:01	ga_ls8c_ard_3-2-1_101075_2021-12-18_final
2022-01-08 10:46:15	ga_ls8c_ard_3-2-1_104082_2022-01-08_final
2022-01-25 11:25:27	ga_ls8c_ard_3-2-1_111072_2022-01-25_final
2022-02-08 09:57:41	ga_ls8c_ard_3-2-1_097069_2022-02-08_final
2022-02-28 11:11:45	ga_ls8c_ard_3-2-1_109069_2022-02-28_final
2022-04-09 10:24:05	ga_ls8c_ard_3-2-1_101074_2022-04-09_final
2022-06-17 10:42:37	ga_ls8c_ard_3-2-1_104073_2022-06-17_final
2022-07-02 09:57:25	ga_ls8c_ard_3-2-1_097068_2022-07-02_final
2022-07-24 09:22:49	ga_ls8c_ard_3-2-1_091074_2022-07-23_final
2022-12-01 10:53:09	ga_ls8c_ard_3-2-1_105083_2022-12-01_final
2022-12-06 09:33:36	ga_ls8c_ard_3-2-1_092085_2022-12-06_final
2022-12-15 09:23:22	ga_ls8c_ard_3-2-1_091075_2022-12-14_final
2022-12-18 11:32:43	ga_ls8c_ard_3-2-1_112074_2022-12-18_final
2022-12-27 11:24:30	ga_ls8c_ard_3-2-1_111069_2022-12-27_final
2023-01-17 10:05:13	ga_ls8c_ard_3-2-1_098072_2023-01-17_final
2023-04-27 09:45:43	ga_ls8c_ard_3-2-1_094087_2023-04-27_final
2023-04-28 10:24:35	ga_ls8c_ard_3-2-1_101076_2023-04-28_final
2023-06-18 09:16:58	ga_ls8c_ard_3-2-1_090077_2023-06-17_final
2023-09-13 11:00:36	ga_ls8c_ard_3-2-1_107072_2023-09-13_final
2023-09-27 09:38:57	ga_ls8c_ard_3-2-1_093084_2023-09-27_final
2023-10-03 10:35:58	ga_ls8c_ard_3-2-1_103072_2023-10-03_final
2023-10-04 09:39:57	ga_ls8c_ard_3-2-1_094071_2023-10-04_final
2023-10-04 11:18:26	ga_ls8c_ard_3-2-1_110070_2023-10-04_final
2023-10-25 09:57:46	ga_ls8c_ard_3-2-1_097069_2023-10-25_final
2023-11-23 09:29:19	ga_ls8c_ard_3-2-1_092075_2023-11-22_final
2023-12-05 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-12-05_final
2024-01-15 09:47:20	ga_ls8c_ard_3-2-1_095074_2024-01-15_final
2024-02-21 10:05:48	ga_ls8c_ard_3-2-1_098074_2024-02-21_final
2024-03-07 09:27:56	ga_ls8c_ard_3-2-1_091088_2024-03-06_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