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
2013-03-26 11:17:51	ga_ls8c_ard_3-0-0_109082_2013-03-26_final
2013-06-08 10:44:27	ga_ls8c_ard_3-0-0_104073_2013-06-08_final
2013-08-11 10:48:02	ga_ls8c_ard_3-0-0_104082_2013-08-11_final
2014-02-13 11:20:46	ga_ls8c_ard_3-0-0_110074_2014-02-13_final
2014-05-08 10:56:48	ga_ls8c_ard_3-0-0_106079_2014-05-08_final
2014-06-10 11:37:20	ga_ls8c_ard_3-0-0_113072_2014-06-10_final
2014-06-12 11:24:11	ga_ls8c_ard_3-0-0_111070_2014-06-12_final
2014-06-12 11:26:11	ga_ls8c_ard_3-0-0_111075_2014-06-12_final
2014-07-28 11:35:34	ga_ls8c_ard_3-0-0_113067_2014-07-28_final
2014-09-02 11:14:38	ga_ls8c_ard_3-0-0_109076_2014-09-02_final
2014-11-19 11:24:40	ga_ls8c_ard_3-0-0_111070_2014-11-19_final
2015-02-14 11:31:40	ga_ls8c_ard_3-0-0_112073_2015-02-14_final
2015-04-17 11:44:48	ga_ls8c_ard_3-0-0_114076_2015-04-17_final
2015-05-05 11:35:25	ga_ls8c_ard_3-0-0_112084_2015-05-05_final
2015-05-11 10:57:26	ga_ls8c_ard_3-0-0_106082_2015-05-11_final
2015-06-04 11:43:47	ga_ls8c_ard_3-0-0_114074_2015-06-04_final
2015-06-17 11:13:49	ga_ls8c_ard_3-0-0_109076_2015-06-17_final
2015-08-27 11:16:54	ga_ls8c_ard_3-0-0_110067_2015-08-27_final
2015-12-10 11:14:14	ga_ls8c_ard_3-0-0_109075_2015-12-10_final
2016-05-07 11:31:51	ga_ls8c_ard_3-0-0_112074_2016-05-07_final
2016-05-20 11:02:33	ga_ls8c_ard_3-0-0_107078_2016-05-20_final
2016-06-10 11:17:36	ga_ls8c_ard_3-0-0_110069_2016-06-10_final
2017-02-02 10:46:15	ga_ls8c_ard_3-0-0_105067_2017-02-02_final
2017-03-02 11:14:22	ga_ls8c_ard_3-0-0_109076_2017-03-02_final
2017-08-14 11:35:30	ga_ls8c_ard_3-0-0_112082_2017-08-14_final
2017-10-05 11:08:12	ga_ls8c_ard_3-0-0_108075_2017-10-05_final
2017-11-28 10:29:25	ga_ls8c_ard_3-0-0_102071_2017-11-28_final
2017-11-28 10:30:13	ga_ls8c_ard_3-0-0_102073_2017-11-28_final
2017-12-29 11:23:52	ga_ls8c_ard_3-0-0_111068_2017-12-29_final
2018-01-10 11:51:18	ga_ls8c_ard_3-0-0_115075_2018-01-10_final
2018-02-22 11:32:02	ga_ls8c_ard_3-0-0_112074_2018-02-22_final
2018-05-30 10:38:15	ga_ls8c_ard_3-0-0_103081_2018-05-30_final
2018-08-05 11:10:28	ga_ls8c_ard_3-0-0_108083_2018-08-05_final
2018-09-24 10:54:27	ga_ls8c_ard_3-0-0_106073_2018-09-24_final
2018-12-09 11:21:23	ga_ls8c_ard_3-0-0_110078_2018-12-09_final
2018-12-23 11:30:33	ga_ls8c_ard_3-0-0_112070_2018-12-23_final
2019-03-31 11:16:40	ga_ls8c_ard_3-1-0_110067_2019-03-31_final
2019-04-14 11:30:08	ga_ls8c_ard_3-1-0_112070_2019-04-14_final
2019-06-02 10:34:23	ga_ls8c_ard_3-0-0_103069_2019-06-02_final
2019-08-22 11:17:17	ga_ls8c_ard_3-1-0_110067_2019-08-22_final
2019-09-01 11:58:47	ga_ls8c_ard_3-1-0_116078_2019-09-01_final
2020-02-11 10:47:27	ga_ls8c_ard_3-1-0_105070_2020-02-11_final
2020-02-26 11:47:24	ga_ls8c_ard_3-1-0_114081_2020-02-26_final
2020-03-03 11:07:53	ga_ls8c_ard_3-1-0_108075_2020-03-03_final
2020-06-03 11:35:47	ga_ls8c_ard_3-1-0_112084_2020-06-03_final
2020-08-26 11:08:03	ga_ls8c_ard_3-1-0_108075_2020-08-26_final
2020-09-09 11:17:19	ga_ls8c_ard_3-1-0_110067_2020-09-09_final
2020-12-18 09:17:50	ga_ls8c_ard_3-2-0_090077_2020-12-17_final
2020-12-20 09:07:28	ga_ls8c_ard_3-2-0_088082_2020-12-19_final
2021-03-04 11:22:39	ga_ls8c_ard_3-2-0_110081_2021-03-04_final
2021-03-19 10:34:04	ga_ls8c_ard_3-2-0_103068_2021-03-19_final
2021-03-29 11:13:31	ga_ls8c_ard_3-2-0_109074_2021-03-29_final
2021-06-22 11:31:20	ga_ls8c_ard_3-2-0_112072_2021-06-22_final
2021-06-23 10:34:55	ga_ls8c_ard_3-2-0_103070_2021-06-23_final
2021-06-28 09:21:23	ga_ls8c_ard_3-2-0_090087_2021-06-27_final
2021-07-19 09:31:59	ga_ls8c_ard_3-2-0_093067_2021-07-19_final
2021-08-11 09:40:21	ga_ls8c_ard_3-2-0_094072_2021-08-11_final
2021-08-29 11:10:33	ga_ls8c_ard_3-2-0_108081_2021-08-29_final
2021-09-24 11:42:08	ga_ls8c_ard_3-2-0_114067_2021-09-24_final
2021-10-08 10:19:42	ga_ls8c_ard_3-2-0_100077_2021-10-08_final
2021-11-04 09:57:59	ga_ls8c_ard_3-2-0_097069_2021-11-04_final
2021-12-14 10:49:45	ga_ls8c_ard_3-2-1_105075_2021-12-14_final
2022-01-25 09:50:33	ga_ls8c_ard_3-2-1_095082_2022-01-25_final
2022-01-26 10:29:49	ga_ls8c_ard_3-2-1_102072_2022-01-26_final
2022-03-02 09:22:54	ga_ls8c_ard_3-2-1_091075_2022-03-01_final
2022-03-25 11:07:45	ga_ls8c_ard_3-2-1_108075_2022-03-25_final
2022-03-31 10:28:12	ga_ls8c_ard_3-2-1_102069_2022-03-31_final
2022-04-01 11:14:39	ga_ls8c_ard_3-2-1_109077_2022-04-01_final
2022-04-11 10:09:45	ga_ls8c_ard_3-2-1_099069_2022-04-11_final
2022-04-26 11:07:43	ga_ls8c_ard_3-2-1_108075_2022-04-26_final
2022-05-19 11:13:16	ga_ls8c_ard_3-2-1_109073_2022-05-19_final
2022-05-20 11:58:08	ga_ls8c_ard_3-2-1_116077_2022-05-20_final
2022-06-12 10:22:50	ga_ls8c_ard_3-2-1_101070_2022-06-12_final
2022-06-24 10:46:50	ga_ls8c_ard_3-2-1_105068_2022-06-24_final
2022-07-29 11:23:06	ga_ls8c_ard_3-2-1_110081_2022-07-29_final
2022-08-17 10:09:16	ga_ls8c_ard_3-2-1_099066_2022-08-17_final
2022-09-18 10:16:09	ga_ls8c_ard_3-2-1_099083_2022-09-18_final
2022-09-21 09:06:59	ga_ls8c_ard_3-2-1_088080_2022-09-20_final
2022-10-03 09:29:41	ga_ls8c_ard_3-2-1_092075_2022-10-02_final
2022-10-14 09:12:36	ga_ls8c_ard_3-2-1_089079_2022-10-13_final
2022-10-14 09:13:00	ga_ls8c_ard_3-2-1_089080_2022-10-13_final
2022-11-06 10:59:25	ga_ls8c_ard_3-2-1_106083_2022-11-06_final
2023-03-12 09:30:14	ga_ls8c_ard_3-2-1_092078_2023-03-12_final
2023-04-15 10:53:08	ga_ls8c_ard_3-2-1_106070_2023-04-15_final
2023-04-28 10:22:11	ga_ls8c_ard_3-2-1_101070_2023-04-28_final
2023-05-15 11:09:13	ga_ls8c_ard_3-2-1_108080_2023-05-15_final
2023-05-20 09:51:16	ga_ls8c_ard_3-2-1_095086_2023-05-20_final
2023-06-11 10:45:38	ga_ls8c_ard_3-2-1_105067_2023-06-11_final
2023-06-19 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-06-19_final
2023-09-30 10:03:04	ga_ls8c_ard_3-2-1_098067_2023-09-30_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_final
2023-11-18 10:52:49	ga_ls8c_ard_3-2-1_105083_2023-11-18_final
2023-11-28 09:48:14	ga_ls8c_ard_3-2-1_095076_2023-11-28_final
2023-12-07 11:20:23	ga_ls8c_ard_3-2-1_110075_2023-12-07_final
2023-12-15 10:30:15	ga_ls8c_ard_3-2-1_102073_2023-12-15_final
2023-12-26 10:08:56	ga_ls8c_ard_3-2-1_099066_2023-12-26_final
2024-01-24 11:20:21	ga_ls8c_ard_3-2-1_110075_2024-01-24_final
2024-02-01 10:28:08	ga_ls8c_ard_3-2-1_102068_2024-02-01_final
2024-02-18 09:34:30	ga_ls8c_ard_3-2-1_093073_2024-02-18_final
2024-03-08 10:02:49	ga_ls8c_ard_3-2-1_098067_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