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
2013-07-08 10:57:34	ga_ls8c_ard_3-0-0_106075_2013-07-08_final
2013-09-03 10:50:15	ga_ls8c_ard_3-0-0_105072_2013-09-03_final
2013-09-06 11:20:44	ga_ls8c_ard_3-0-0_110071_2013-09-06_final
2013-12-23 10:11:35	ga_ls8c_ard_3-0-0_098085_2013-12-23_final
2014-01-15 10:10:17	ga_ls8c_ard_3-0-0_099067_2014-01-15_final
2014-02-17 10:53:13	ga_ls8c_ard_3-0-0_106067_2014-02-17_final
2014-05-02 09:50:18	ga_ls8c_ard_3-0-0_096067_2014-05-02_final
2014-08-15 11:25:45	ga_ls8c_ard_3-0-0_111073_2014-08-15_final
2014-08-22 11:29:33	ga_ls8c_ard_3-0-0_112067_2014-08-22_final
2014-09-09 11:23:38	ga_ls8c_ard_3-0-0_110083_2014-09-09_final
2014-09-23 11:32:21	ga_ls8c_ard_3-0-0_112074_2014-09-23_final
2015-01-10 11:03:25	ga_ls8c_ard_3-0-0_107079_2015-01-10_final
2015-01-10 11:04:12	ga_ls8c_ard_3-0-0_107081_2015-01-10_final
2015-03-05 10:22:49	ga_ls8c_ard_3-0-0_101071_2015-03-05_final
2015-03-14 11:56:59	ga_ls8c_ard_3-0-0_116075_2015-03-14_final
2015-04-03 11:31:38	ga_ls8c_ard_3-0-0_112074_2015-04-03_final
2015-04-24 10:12:27	ga_ls8c_ard_3-0-0_099077_2015-04-24_final
2015-05-21 11:31:19	ga_ls8c_ard_3-0-0_112074_2015-05-21_final
2015-06-25 10:27:12	ga_ls8c_ard_3-0-0_101083_2015-06-25_final
2015-07-22 11:41:25	ga_ls8c_ard_3-0-0_114067_2015-07-22_final
2015-08-30 11:51:48	ga_ls8c_ard_3-0-0_115077_2015-08-30_final
2015-09-10 11:35:45	ga_ls8c_ard_3-0-0_112083_2015-09-10_final
2015-11-13 11:32:22	ga_ls8c_ard_3-0-0_112074_2015-11-13_final
2015-12-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-12-10_final
2016-01-12 10:19:22	ga_ls8c_ard_3-0-0_100077_2016-01-12_final
2016-01-12 11:57:52	ga_ls8c_ard_3-0-0_116076_2016-01-12_final
2016-02-15 10:04:29	ga_ls8c_ard_3-0-0_098071_2016-02-15_final
2016-02-17 11:29:23	ga_ls8c_ard_3-0-0_112067_2016-02-17_final
2016-03-07 10:22:34	ga_ls8c_ard_3-0-0_101070_2016-03-07_final
2016-12-24 09:57:48	ga_ls8c_ard_3-0-0_097069_2016-12-24_final
2017-04-20 10:21:30	ga_ls8c_ard_3-0-0_100084_2017-04-20_final
2017-05-15 10:08:57	ga_ls8c_ard_3-0-0_099068_2017-05-15_final
2017-06-04 09:52:01	ga_ls8c_ard_3-0-0_095087_2017-06-04_final
2017-07-13 09:56:47	ga_ls8c_ard_3-0-0_096083_2017-07-13_final
2017-07-18 10:10:11	ga_ls8c_ard_3-0-0_099070_2017-07-18_final
2017-08-07 11:24:06	ga_ls8c_ard_3-0-0_111069_2017-08-07_final
2017-09-26 11:17:31	ga_ls8c_ard_3-0-0_109083_2017-09-26_final
2017-11-18 09:58:00	ga_ls8c_ard_3-0-0_096085_2017-11-18_final
2017-11-22 11:07:21	ga_ls8c_ard_3-0-0_108073_2017-11-22_final
2018-01-05 09:50:43	ga_ls8c_ard_3-0-0_096067_2018-01-05_final
2018-04-29 11:17:06	ga_ls8c_ard_3-0-0_110069_2018-04-29_final
2018-04-30 10:21:52	ga_ls8c_ard_3-0-0_101070_2018-04-30_final
2018-08-08 09:56:32	ga_ls8c_ard_3-0-0_097068_2018-08-08_final
2018-11-24 10:27:24	ga_ls8c_ard_3-0-0_101082_2018-11-24_final
2019-01-28 11:06:08	ga_ls8c_ard_3-0-0_108071_2019-01-28_final
2019-02-25 11:29:34	ga_ls8c_ard_3-0-0_112068_2019-02-25_final
2019-03-28 10:48:58	ga_ls8c_ard_3-1-0_105075_2019-03-28_final
2019-05-19 10:27:05	ga_ls8c_ard_3-0-0_101082_2019-05-19_final
2019-05-30 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-05-30_final
2019-06-17 11:32:06	ga_ls8c_ard_3-1-0_112074_2019-06-17_final
2019-07-03 09:50:30	ga_ls8c_ard_3-1-0_096067_2019-07-03_final
2019-09-15 10:33:56	ga_ls8c_ard_3-1-0_102082_2019-09-15_final
2019-10-02 11:14:53	ga_ls8c_ard_3-1-0_109076_2019-10-02_final
2020-01-28 10:34:22	ga_ls8c_ard_3-1-0_103068_2020-01-28_final
2020-05-20 11:22:56	ga_ls8c_ard_3-1-0_110083_2020-05-20_final
2020-06-28 11:29:02	ga_ls8c_ard_3-1-0_111082_2020-06-28_final
2020-08-02 11:57:44	ga_ls8c_ard_3-1-0_116076_2020-08-02_final
2020-08-19 09:28:31	ga_ls8c_ard_3-1-0_091089_2020-08-18_final
2020-10-06 11:02:53	ga_ls8c_ard_3-1-0_107077_2020-10-06_final
2020-12-14 11:24:39	ga_ls8c_ard_3-1-0_110085_2020-12-14_final
2020-12-21 11:23:37	ga_ls8c_ard_3-2-0_111067_2020-12-21_final
2021-01-09 10:17:56	ga_ls8c_ard_3-2-0_100073_2021-01-09_final
2021-01-11 11:46:02	ga_ls8c_ard_3-2-0_114077_2021-01-11_final
2021-02-12 11:47:31	ga_ls8c_ard_3-2-0_114081_2021-02-12_final
2021-02-28 10:09:20	ga_ls8c_ard_3-2-0_098083_2021-02-28_final
2021-03-24 10:58:35	ga_ls8c_ard_3-2-0_106083_2021-03-24_final
2021-04-12 11:28:35	ga_ls8c_ard_3-2-0_111081_2021-04-12_final
2021-04-20 10:39:05	ga_ls8c_ard_3-2-0_103081_2021-04-20_final
2021-05-10 11:51:56	ga_ls8c_ard_3-2-0_115078_2021-05-10_final
2021-06-06 09:57:57	ga_ls8c_ard_3-2-0_096086_2021-06-06_final
2021-06-06 11:30:27	ga_ls8c_ard_3-2-0_112070_2021-06-06_final
2021-06-08 09:38:01	ga_ls8c_ard_3-2-0_094067_2021-06-08_final
2021-06-16 10:33:06	ga_ls8c_ard_3-2-0_102081_2021-06-16_final
2021-07-08 11:30:35	ga_ls8c_ard_3-2-0_112070_2021-07-08_final
2021-07-10 11:19:49	ga_ls8c_ard_3-2-0_110074_2021-07-10_final
2021-10-04 09:07:54	ga_ls8c_ard_3-2-0_088083_2021-10-03_final
2021-10-22 10:30:06	ga_ls8c_ard_3-2-0_102072_2021-10-22_final
2021-11-06 09:51:12	ga_ls8c_ard_3-2-0_095083_2021-11-06_final
2021-11-08 11:16:31	ga_ls8c_ard_3-2-0_109080_2021-11-08_final
2021-11-11 11:45:00	ga_ls8c_ard_3-2-0_114074_2021-11-11_final
2021-11-28 09:10:53	ga_ls8c_ard_3-2-0_089075_2021-11-27_final
2021-12-06 11:41:36	ga_ls8c_ard_3-2-1_113081_2021-12-06_final
2022-02-02 10:35:11	ga_ls8c_ard_3-2-1_103070_2022-02-02_final
2022-02-06 10:16:26	ga_ls8c_ard_3-2-1_099085_2022-02-06_final
2022-04-17 11:14:21	ga_ls8c_ard_3-2-1_109076_2022-04-17_final
2022-10-21 10:55:22	ga_ls8c_ard_3-2-1_106073_2022-10-21_final
2022-11-13 11:04:44	ga_ls8c_ard_3-2-1_107081_2022-11-13_final
2022-12-11 09:48:08	ga_ls8c_ard_3-2-1_095075_2022-12-11_final
2022-12-11 11:30:36	ga_ls8c_ard_3-2-1_111084_2022-12-11_final
2023-02-04 09:53:22	ga_ls8c_ard_3-2-1_096073_2023-02-04_final
2023-04-13 09:31:01	ga_ls8c_ard_3-2-1_092081_2023-04-13_final
2023-04-18 11:29:36	ga_ls8c_ard_3-2-1_111084_2023-04-18_final
2023-04-27 09:45:19	ga_ls8c_ard_3-2-1_094086_2023-04-27_final
2023-08-25 10:28:04	ga_ls8c_ard_3-2-1_102068_2023-08-25_final
2023-09-27 09:38:57	ga_ls8c_ard_3-2-1_093084_2023-09-27_final
2023-09-29 09:28:59	ga_ls8c_ard_3-2-1_091090_2023-09-28_final
2023-12-11 10:52:56	ga_ls8c_ard_3-2-1_106068_2023-12-11_final
2024-01-26 09:33:03	ga_ls8c_ard_3-2-1_092085_2024-01-26_final
2024-02-20 10:59:50	ga_ls8c_ard_3-2-1_107070_2024-02-20_final
2024-03-07 11:01:37	ga_ls8c_ard_3-2-1_107075_2024-03-07_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