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
2013-08-16 11:07:22	ga_ls8c_ard_3-0-0_107084_2013-08-16_final
2013-10-31 11:25:01	ga_ls8c_ard_3-0-0_111067_2013-10-31_final
2014-02-22 11:12:30	ga_ls8c_ard_3-0-0_109069_2014-02-22_final
2015-01-22 11:23:15	ga_ls8c_ard_3-0-0_111067_2015-01-22_final
2015-04-03 11:32:26	ga_ls8c_ard_3-0-0_112076_2015-04-03_final
2015-11-09 11:57:30	ga_ls8c_ard_3-0-0_116075_2015-11-09_final
2015-12-05 10:52:56	ga_ls8c_ard_3-0-0_106068_2015-12-05_final
2016-03-04 11:36:09	ga_ls8c_ard_3-0-0_112084_2016-03-04_final
2016-05-09 11:19:52	ga_ls8c_ard_3-0-0_110075_2016-05-09_final
2017-01-06 11:08:08	ga_ls8c_ard_3-0-0_108075_2017-01-06_final
2017-01-08 10:54:35	ga_ls8c_ard_3-0-0_106072_2017-01-08_final
2017-02-28 11:23:09	ga_ls8c_ard_3-0-0_111067_2017-02-28_final
2017-07-09 11:57:11	ga_ls8c_ard_3-0-0_116075_2017-07-09_final
2017-07-09 11:57:35	ga_ls8c_ard_3-0-0_116076_2017-07-09_final
2017-08-07 11:24:30	ga_ls8c_ard_3-0-0_111070_2017-08-07_final
2017-08-14 11:30:19	ga_ls8c_ard_3-0-0_112069_2017-08-14_final
2017-12-13 08:10:52	ga_ls8c_ard_3-2-1_079080_2017-12-12_final
2018-05-03 10:56:43	ga_ls8c_ard_3-0-0_106080_2018-05-03_final
2018-05-11 11:44:29	ga_ls8c_ard_3-0-0_114076_2018-05-11_final
2018-05-17 11:06:56	ga_ls8c_ard_3-0-0_108075_2018-05-17_final
2018-05-24 11:12:37	ga_ls8c_ard_3-0-0_109074_2018-05-24_final
2018-06-21 11:36:36	ga_ls8c_ard_3-0-0_113072_2018-06-21_final
2018-06-29 10:48:02	ga_ls8c_ard_3-0-0_105074_2018-06-29_final
2018-07-30 11:41:07	ga_ls8c_ard_3-0-0_114067_2018-07-30_final
2018-09-20 11:19:09	ga_ls8c_ard_3-0-0_110073_2018-09-20_final
2018-09-30 11:58:19	ga_ls8c_ard_3-0-0_116078_2018-09-30_final
2019-01-14 10:53:26	ga_ls8c_ard_3-0-0_106070_2019-01-14_final
2019-02-18 11:23:01	ga_ls8c_ard_3-0-0_111067_2019-02-18_final
2019-04-14 11:28:57	ga_ls8c_ard_3-1-0_112067_2019-04-14_final
2019-04-23 11:27:05	ga_ls8c_ard_3-0-0_111078_2019-04-23_final
2019-07-16 11:04:54	ga_ls8c_ard_3-1-0_107083_2019-07-16_final
2019-09-26 11:52:44	ga_ls8c_ard_3-1-0_115078_2019-09-26_final
2020-02-02 10:52:52	ga_ls8c_ard_3-1-0_106068_2020-02-02_final
2020-02-08 08:42:28	ga_ls8c_ard_3-2-1_084082_2020-02-07_final
2020-03-24 11:23:04	ga_ls8c_ard_3-1-0_111067_2020-03-24_final
2020-04-14 11:41:26	ga_ls8c_ard_3-1-0_114067_2020-04-14_final
2020-04-15 09:10:55	ga_ls8c_ard_3-1-0_089077_2020-04-14_final
2020-05-11 11:23:05	ga_ls8c_ard_3-1-0_111068_2020-05-11_final
2020-05-14 11:58:00	ga_ls8c_ard_3-1-0_116078_2020-05-14_final
2020-07-30 11:24:02	ga_ls8c_ard_3-1-0_111069_2020-07-30_final
2020-08-26 11:07:15	ga_ls8c_ard_3-1-0_108073_2020-08-26_final
2020-10-11 11:19:26	ga_ls8c_ard_3-1-0_110072_2020-10-11_final
2020-10-31 10:59:06	ga_ls8c_ard_3-1-0_106083_2020-10-31_final
2020-12-21 11:26:49	ga_ls8c_ard_3-2-0_111075_2020-12-21_final
2021-01-03 09:18:10	ga_ls8c_ard_3-2-0_090078_2021-01-02_final
2021-01-21 10:42:58	ga_ls8c_ard_3-2-0_104074_2021-01-21_final
2021-01-26 09:22:37	ga_ls8c_ard_3-2-0_091074_2021-01-25_final
2021-02-05 10:03:40	ga_ls8c_ard_3-2-0_097084_2021-02-05_final
2021-02-22 09:07:34	ga_ls8c_ard_3-2-0_088083_2021-02-21_final
2021-03-13 09:33:55	ga_ls8c_ard_3-2-0_093072_2021-03-13_final
2021-03-17 10:46:50	ga_ls8c_ard_3-2-0_105069_2021-03-17_final
2021-03-18 11:31:17	ga_ls8c_ard_3-2-0_112072_2021-03-18_final
2021-05-11 09:18:14	ga_ls8c_ard_3-2-0_090080_2021-05-10_final
2021-05-25 11:08:26	ga_ls8c_ard_3-2-0_108077_2021-05-25_final
2021-05-27 10:54:05	ga_ls8c_ard_3-2-0_106072_2021-05-27_final
2021-05-30 11:23:01	ga_ls8c_ard_3-2-0_111067_2021-05-30_final
2021-06-28 10:55:52	ga_ls8c_ard_3-2-0_106076_2021-06-28_final
2021-07-13 11:52:19	ga_ls8c_ard_3-2-0_115078_2021-07-13_final
2021-07-26 09:40:14	ga_ls8c_ard_3-2-0_094072_2021-07-26_final
2021-08-08 10:49:30	ga_ls8c_ard_3-2-0_105075_2021-08-08_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-08-18 11:24:15	ga_ls8c_ard_3-2-0_111069_2021-08-18_final
2021-09-14 09:34:32	ga_ls8c_ard_3-2-0_092088_2021-09-14_final
2021-09-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2021-09-17_final
2021-09-26 11:29:48	ga_ls8c_ard_3-2-0_112067_2021-09-26_final
2021-10-08 10:19:42	ga_ls8c_ard_3-2-0_100077_2021-10-08_final
2021-10-10 10:10:08	ga_ls8c_ard_3-2-0_098084_2021-10-10_final
2021-10-13 10:36:16	ga_ls8c_ard_3-2-0_103072_2021-10-13_final
2021-11-10 09:20:28	ga_ls8c_ard_3-2-0_091068_2021-11-09_final
2021-12-06 11:38:01	ga_ls8c_ard_3-2-1_113072_2021-12-06_final
2021-12-15 11:32:37	ga_ls8c_ard_3-2-1_112074_2021-12-15_final
2021-12-30 09:14:46	ga_ls8c_ard_3-2-1_089085_2021-12-29_final
2022-01-14 10:07:34	ga_ls8c_ard_3-2-1_098078_2022-01-14_final
2022-01-28 10:22:14	ga_ls8c_ard_3-2-1_100084_2022-01-28_final
2022-03-14 09:46:45	ga_ls8c_ard_3-2-1_095073_2022-03-14_final
2022-07-13 09:40:03	ga_ls8c_ard_3-2-1_094071_2022-07-13_final
2022-07-19 10:41:30	ga_ls8c_ard_3-2-1_104070_2022-07-19_final
2022-07-25 10:09:41	ga_ls8c_ard_3-2-1_098083_2022-07-25_final
2022-08-14 09:44:44	ga_ls8c_ard_3-2-1_094082_2022-08-14_final
2022-08-26 10:07:29	ga_ls8c_ard_3-2-1_098077_2022-08-26_final
2022-09-09 11:58:22	ga_ls8c_ard_3-2-1_116076_2022-09-09_final
2022-09-12 09:11:56	ga_ls8c_ard_3-2-1_089077_2022-09-11_final
2022-11-21 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-11-21_final
2022-12-31 09:27:17	ga_ls8c_ard_3-2-1_091085_2022-12-30_final
2023-01-01 10:10:33	ga_ls8c_ard_3-2-1_098085_2023-01-01_final
2023-01-11 10:46:23	ga_ls8c_ard_3-2-1_104082_2023-01-11_final
2023-03-09 10:34:13	ga_ls8c_ard_3-2-1_103068_2023-03-09_final
2023-04-27 09:45:43	ga_ls8c_ard_3-2-1_094087_2023-04-27_final
2023-05-07 10:21:05	ga_ls8c_ard_3-2-1_100083_2023-05-07_final
2023-06-14 09:39:17	ga_ls8c_ard_3-2-1_094071_2023-06-14_final
2023-06-24 10:19:11	ga_ls8c_ard_3-2-1_100078_2023-06-24_final
2023-10-17 09:15:52	ga_ls8c_ard_3-2-1_089088_2023-10-16_final
2023-10-17 10:46:46	ga_ls8c_ard_3-2-1_105068_2023-10-17_final
2023-10-20 09:39:58	ga_ls8c_ard_3-2-1_094071_2023-10-20_final
2023-10-22 11:10:30	ga_ls8c_ard_3-2-1_108081_2023-10-22_final
2023-12-19 10:10:21	ga_ls8c_ard_3-2-1_098085_2023-12-19_final
2024-01-23 10:39:30	ga_ls8c_ard_3-2-1_103081_2024-01-23_final
2024-02-16 11:24:33	ga_ls8c_ard_3-2-1_111070_2024-02-16_final
2024-03-08 10:07:12	ga_ls8c_ard_3-2-1_098078_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years