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
2013-05-16 10:41:25	ga_ls8c_ard_3-0-0_103081_2013-05-16_final
2013-06-25 09:46:20	ga_ls8c_ard_3-0-0_095067_2013-06-25_final
2013-07-03 10:41:25	ga_ls8c_ard_3-0-0_103081_2013-07-03_final
2013-12-10 10:37:27	ga_ls8c_ard_3-0-0_103072_2013-12-10_final
2014-02-10 10:47:32	ga_ls8c_ard_3-0-0_105068_2014-02-10_final
2014-03-08 11:25:03	ga_ls8c_ard_3-0-0_111070_2014-03-08_final
2014-03-24 09:47:09	ga_ls8c_ard_3-0-0_095073_2014-03-24_final
2014-03-31 11:32:29	ga_ls8c_ard_3-0-0_112074_2014-03-31_final
2014-05-04 11:17:59	ga_ls8c_ard_3-0-0_110070_2014-05-04_final
2014-07-23 09:38:06	ga_ls8c_ard_3-0-0_094067_2014-07-23_final
2014-10-27 11:18:30	ga_ls8c_ard_3-0-0_110070_2014-10-27_final
2014-12-13 10:39:31	ga_ls8c_ard_3-0-0_103081_2014-12-13_final
2015-07-08 11:31:45	ga_ls8c_ard_3-0-0_112074_2015-07-08_final
2015-12-17 09:38:22	ga_ls8c_ard_3-0-0_094067_2015-12-17_final
2015-12-24 11:23:50	ga_ls8c_ard_3-0-0_111068_2015-12-24_final
2016-01-18 09:38:19	ga_ls8c_ard_3-0-0_094067_2016-01-18_final
2016-02-26 09:46:42	ga_ls8c_ard_3-0-0_095073_2016-02-26_final
2016-07-25 10:49:00	ga_ls8c_ard_3-0-0_105074_2016-07-25_final
2016-07-31 11:52:25	ga_ls8c_ard_3-0-0_115078_2016-07-31_final
2016-10-23 11:24:26	ga_ls8c_ard_3-0-0_111069_2016-10-23_final
2017-01-31 10:59:49	ga_ls8c_ard_3-0-0_107070_2017-01-31_final
2017-02-05 09:38:14	ga_ls8c_ard_3-0-0_094067_2017-02-05_final
2017-02-25 10:52:16	ga_ls8c_ard_3-0-0_106067_2017-02-25_final
2017-06-17 10:55:18	ga_ls8c_ard_3-0-0_106075_2017-06-17_final
2017-10-19 11:17:25	ga_ls8c_ard_3-0-0_110067_2017-10-19_final
2017-12-06 09:40:22	ga_ls8c_ard_3-0-0_094072_2017-12-06_final
2018-02-28 10:55:18	ga_ls8c_ard_3-0-0_106075_2018-02-28_final
2018-02-28 10:57:41	ga_ls8c_ard_3-0-0_106081_2018-02-28_final
2018-05-12 10:48:27	ga_ls8c_ard_3-0-0_105075_2018-05-12_final
2018-09-29 11:13:27	ga_ls8c_ard_3-0-0_109074_2018-09-29_final
2018-10-31 11:11:38	ga_ls8c_ard_3-0-0_109069_2018-10-31_final
2018-11-26 10:08:40	ga_ls8c_ard_3-2-1_099066_2018-11-26_final
2019-01-10 09:38:05	ga_ls8c_ard_3-0-0_094067_2019-01-10_final
2019-01-17 11:24:19	ga_ls8c_ard_3-0-0_111070_2019-01-17_final
2019-03-05 10:45:41	ga_ls8c_ard_3-0-0_104082_2019-03-05_final
2019-03-31 11:17:27	ga_ls8c_ard_3-1-0_110069_2019-03-31_final
2019-04-07 11:25:12	ga_ls8c_ard_3-1-0_111073_2019-04-07_final
2019-04-25 11:11:07	ga_ls8c_ard_3-0-0_109069_2019-04-25_final
2019-05-01 10:33:40	ga_ls8c_ard_3-0-0_103068_2019-05-01_final
2019-05-04 11:06:59	ga_ls8c_ard_3-1-0_108074_2019-05-04_final
2019-08-22 09:40:23	ga_ls8c_ard_3-1-0_094072_2019-08-22_final
2019-08-22 11:18:04	ga_ls8c_ard_3-1-0_110069_2019-08-22_final
2019-09-23 11:18:38	ga_ls8c_ard_3-1-0_110070_2019-09-23_final
2019-11-07 10:49:23	ga_ls8c_ard_3-1-0_105074_2019-11-07_final
2019-11-24 11:31:47	ga_ls8c_ard_3-1-0_112072_2019-11-24_final
2019-12-03 11:26:00	ga_ls8c_ard_3-1-0_111073_2019-12-03_final
2019-12-15 10:09:02	ga_ls8c_ard_3-2-1_099066_2019-12-15_final
2020-01-03 10:40:38	ga_ls8c_ard_3-1-0_104068_2020-01-03_final
2020-02-21 09:46:25	ga_ls8c_ard_3-1-0_095072_2020-02-21_final
2020-04-02 11:16:48	ga_ls8c_ard_3-1-0_110067_2020-04-02_final
2020-04-09 11:22:56	ga_ls8c_ard_3-1-0_111067_2020-04-09_final
2020-05-27 11:23:33	ga_ls8c_ard_3-1-0_111069_2020-05-27_final
2020-08-10 11:07:55	ga_ls8c_ard_3-1-0_108075_2020-08-10_final
2020-12-04 09:07:53	ga_ls8c_ard_3-1-0_088083_2020-12-03_final
2020-12-12 11:31:49	ga_ls8c_ard_3-1-0_112072_2020-12-12_final
2020-12-18 10:54:43	ga_ls8c_ard_3-2-0_106072_2020-12-18_final
2021-01-07 10:28:19	ga_ls8c_ard_3-2-0_102068_2021-01-07_final
2021-05-05 11:30:10	ga_ls8c_ard_3-2-0_112070_2021-05-05_final
2021-05-09 09:28:10	ga_ls8c_ard_3-2-0_092074_2021-05-08_final
2021-05-25 11:07:38	ga_ls8c_ard_3-2-0_108075_2021-05-25_final
2021-06-29 11:41:08	ga_ls8c_ard_3-2-0_113081_2021-06-29_final
2021-07-29 10:13:57	ga_ls8c_ard_3-2-0_099079_2021-07-29_final
2021-09-12 11:20:11	ga_ls8c_ard_3-2-0_110074_2021-09-12_final
2021-09-23 09:22:23	ga_ls8c_ard_3-2-0_091073_2021-09-22_final
2021-10-23 11:14:33	ga_ls8c_ard_3-2-0_109075_2021-10-23_final
2021-12-22 09:58:17	ga_ls8c_ard_3-2-1_097070_2021-12-22_final
2022-01-05 10:14:10	ga_ls8c_ard_3-2-1_099079_2022-01-05_final
2022-01-15 09:10:44	ga_ls8c_ard_3-2-1_089075_2022-01-14_final
2022-01-21 10:13:42	ga_ls8c_ard_3-2-1_099078_2022-01-21_final
2022-01-25 11:24:39	ga_ls8c_ard_3-2-1_111070_2022-01-25_final
2022-02-10 09:46:07	ga_ls8c_ard_3-2-1_095071_2022-02-10_final
2022-03-18 09:27:34	ga_ls8c_ard_3-2-1_091087_2022-03-17_final
2022-03-20 10:49:41	ga_ls8c_ard_3-2-1_105076_2022-03-20_final
2022-04-01 11:14:15	ga_ls8c_ard_3-2-1_109076_2022-04-01_final
2022-04-08 11:18:06	ga_ls8c_ard_3-2-1_110070_2022-04-08_final
2022-05-13 11:51:07	ga_ls8c_ard_3-2-1_115075_2022-05-13_final
2022-05-14 10:52:43	ga_ls8c_ard_3-2-1_106068_2022-05-14_final
2022-06-08 10:49:30	ga_ls8c_ard_3-2-1_105075_2022-06-08_final
2022-06-16 11:42:37	ga_ls8c_ard_3-2-1_113084_2022-06-16_final
2022-07-13 09:46:26	ga_ls8c_ard_3-2-1_094087_2022-07-13_final
2022-08-07 11:14:12	ga_ls8c_ard_3-2-1_109074_2022-08-07_final
2022-09-15 09:46:26	ga_ls8c_ard_3-2-1_094086_2022-09-15_final
2022-09-18 10:09:46	ga_ls8c_ard_3-2-1_099067_2022-09-18_final
2022-12-02 09:57:56	ga_ls8c_ard_3-2-1_096084_2022-12-02_final
2023-02-06 09:41:23	ga_ls8c_ard_3-2-1_094074_2023-02-06_final
2023-02-19 10:46:48	ga_ls8c_ard_3-2-1_105068_2023-02-19_final
2023-02-22 11:19:14	ga_ls8c_ard_3-2-1_110072_2023-02-22_final
2023-03-03 09:34:29	ga_ls8c_ard_3-2-1_093073_2023-03-03_final
2023-03-08 09:52:10	ga_ls8c_ard_3-2-1_096071_2023-03-08_final
2023-07-04 10:55:13	ga_ls8c_ard_3-2-1_106075_2023-07-04_final
2023-07-11 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-07-10_final
2023-07-27 09:22:40	ga_ls8c_ard_3-2-1_091075_2023-07-26_final
2023-08-12 09:21:57	ga_ls8c_ard_3-2-1_091073_2023-08-11_final
2023-08-29 10:02:57	ga_ls8c_ard_3-2-1_098067_2023-08-29_final
2023-09-13 09:22:55	ga_ls8c_ard_3-2-1_091075_2023-09-12_final
2023-09-21 10:10:00	ga_ls8c_ard_3-2-1_099069_2023-09-21_final
2023-10-11 11:26:15	ga_ls8c_ard_3-2-1_111074_2023-10-11_final
2023-10-17 10:46:46	ga_ls8c_ard_3-2-1_105068_2023-10-17_final
2023-10-19 10:39:35	ga_ls8c_ard_3-2-1_103081_2023-10-19_final
2023-11-18 10:49:37	ga_ls8c_ard_3-2-1_105075_2023-11-18_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