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
2013-05-20 11:54:49	ga_ls8c_ard_3-0-0_115079_2013-05-20_final
2014-03-13 11:42:22	ga_ls8c_ard_3-0-0_114067_2014-03-13_final
2014-05-24 10:51:53	ga_ls8c_ard_3-0-0_106067_2014-05-24_final
2014-05-27 11:22:50	ga_ls8c_ard_3-0-0_111067_2014-05-27_final
2014-06-25 10:52:06	ga_ls8c_ard_3-0-0_106067_2014-06-25_final
2014-07-14 11:29:09	ga_ls8c_ard_3-0-0_111082_2014-07-14_final
2014-08-31 11:29:22	ga_ls8c_ard_3-0-0_111082_2014-08-31_final
2015-01-31 11:18:16	ga_ls8c_ard_3-0-0_110070_2015-01-31_final
2015-05-17 11:57:36	ga_ls8c_ard_3-0-0_116078_2015-05-17_final
2015-08-24 10:51:10	ga_ls8c_ard_3-0-0_105080_2015-08-24_final
2015-09-08 11:41:42	ga_ls8c_ard_3-0-0_114067_2015-09-08_final
2016-06-17 11:29:23	ga_ls8c_ard_3-0-0_111083_2016-06-17_final
2016-08-15 11:11:12	ga_ls8c_ard_3-0-0_108083_2016-08-15_final
2016-09-26 11:42:04	ga_ls8c_ard_3-0-0_114067_2016-09-26_final
2016-10-09 11:12:02	ga_ls8c_ard_3-0-0_109069_2016-10-09_final
2016-12-17 11:32:31	ga_ls8c_ard_3-0-0_112074_2016-12-17_final
2016-12-28 11:13:10	ga_ls8c_ard_3-0-0_109072_2016-12-28_final
2016-12-31 11:42:04	ga_ls8c_ard_3-0-0_114067_2016-12-31_final
2017-01-30 11:57:27	ga_ls8c_ard_3-0-0_116075_2017-01-30_final
2017-02-07 11:07:32	ga_ls8c_ard_3-0-0_108074_2017-02-07_final
2017-02-12 11:25:38	ga_ls8c_ard_3-0-0_111073_2017-02-12_final
2017-02-15 11:57:19	ga_ls8c_ard_3-0-0_116075_2017-02-15_final
2017-03-03 11:57:13	ga_ls8c_ard_3-0-0_116075_2017-03-03_final
2017-04-17 11:22:44	ga_ls8c_ard_3-0-0_111067_2017-04-17_final
2017-05-16 10:51:50	ga_ls8c_ard_3-0-0_106067_2017-05-16_final
2017-08-30 11:29:34	ga_ls8c_ard_3-0-0_112067_2017-08-30_final
2017-10-26 11:25:12	ga_ls8c_ard_3-0-0_111071_2017-10-26_final
2017-10-31 11:42:08	ga_ls8c_ard_3-0-0_114067_2017-10-31_final
2017-12-13 11:23:27	ga_ls8c_ard_3-0-0_111067_2017-12-13_final
2018-03-10 11:29:05	ga_ls8c_ard_3-0-0_112067_2018-03-10_final
2018-04-07 11:56:47	ga_ls8c_ard_3-0-0_116075_2018-04-07_final
2018-04-23 11:56:37	ga_ls8c_ard_3-0-0_116075_2018-04-23_final
2018-07-25 11:29:18	ga_ls8c_ard_3-0-0_111084_2018-07-25_final
2018-10-31 11:11:38	ga_ls8c_ard_3-0-0_109069_2018-10-31_final
2018-11-17 11:58:07	ga_ls8c_ard_3-0-0_116077_2018-11-17_final
2018-12-19 11:57:16	ga_ls8c_ard_3-0-0_116075_2018-12-19_final
2018-12-25 11:24:10	ga_ls8c_ard_3-0-0_110085_2018-12-25_final
2019-01-03 11:11:36	ga_ls8c_ard_3-0-0_109069_2019-01-03_final
2019-02-15 10:58:31	ga_ls8c_ard_3-0-0_106083_2019-02-15_final
2019-03-09 11:58:13	ga_ls8c_ard_3-1-0_116078_2019-03-09_final
2019-03-28 10:52:09	ga_ls8c_ard_3-1-0_105083_2019-03-28_final
2019-06-08 11:40:13	ga_ls8c_ard_3-0-0_113079_2019-06-08_final
2019-06-10 11:23:05	ga_ls8c_ard_3-0-0_111067_2019-06-10_final
2019-11-06 10:02:56	ga_ls8c_ard_3-2-1_098066_2019-11-06_final
2019-11-20 11:58:06	ga_ls8c_ard_3-1-0_116076_2019-11-20_final
2019-12-06 11:57:42	ga_ls8c_ard_3-1-0_116075_2019-12-06_final
2019-12-06 11:58:06	ga_ls8c_ard_3-1-0_116076_2019-12-06_final
2019-12-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2019-12-16_final
2019-12-26 11:36:07	ga_ls8c_ard_3-1-0_112083_2019-12-26_final
2020-01-24 11:00:42	ga_ls8c_ard_3-1-0_107072_2020-01-24_final
2020-01-27 11:29:35	ga_ls8c_ard_3-1-0_112067_2020-01-27_final
2020-07-03 11:47:13	ga_ls8c_ard_3-1-0_114081_2020-07-03_final
2020-12-27 09:12:01	ga_ls8c_ard_3-2-0_089078_2020-12-26_final
2021-01-25 11:58:43	ga_ls8c_ard_3-2-0_116078_2021-01-25_final
2021-02-10 11:57:29	ga_ls8c_ard_3-2-0_116075_2021-02-10_final
2021-02-13 09:11:24	ga_ls8c_ard_3-2-0_089077_2021-02-12_final
2021-03-07 10:09:52	ga_ls8c_ard_3-2-0_099069_2021-03-07_final
2021-03-14 11:57:15	ga_ls8c_ard_3-2-0_116075_2021-03-14_final
2021-03-20 11:24:07	ga_ls8c_ard_3-2-0_110085_2021-03-20_final
2021-03-26 09:07:20	ga_ls8c_ard_3-2-0_088083_2021-03-25_final
2021-04-09 09:16:50	ga_ls8c_ard_3-2-0_090076_2021-04-08_final
2021-05-05 09:50:53	ga_ls8c_ard_3-2-0_096069_2021-05-05_final
2021-05-14 11:22:52	ga_ls8c_ard_3-2-0_111067_2021-05-14_final
2021-05-21 11:29:07	ga_ls8c_ard_3-2-0_112067_2021-05-21_final
2021-05-31 10:32:59	ga_ls8c_ard_3-2-0_102081_2021-05-31_final
2021-06-08 09:45:36	ga_ls8c_ard_3-2-0_094086_2021-06-08_final
2021-06-13 10:02:11	ga_ls8c_ard_3-2-0_097081_2021-06-13_final
2021-06-18 10:21:33	ga_ls8c_ard_3-2-0_100083_2021-06-18_final
2021-07-01 09:44:18	ga_ls8c_ard_3-2-0_095067_2021-07-01_final
2021-08-06 09:28:34	ga_ls8c_ard_3-2-0_091089_2021-08-05_final
2021-08-23 11:47:36	ga_ls8c_ard_3-2-0_114081_2021-08-23_final
2021-09-26 11:30:12	ga_ls8c_ard_3-2-0_112068_2021-09-26_final
2021-10-01 10:09:29	ga_ls8c_ard_3-2-0_099067_2021-10-01_final
2021-10-20 09:07:10	ga_ls8c_ard_3-2-0_088081_2021-10-19_final
2021-11-01 11:11:34	ga_ls8c_ard_3-2-0_108083_2021-11-01_final
2021-11-22 11:23:38	ga_ls8c_ard_3-2-0_111067_2021-11-22_final
2021-12-12 09:22:50	ga_ls8c_ard_3-2-1_091074_2021-12-11_final
2022-01-26 10:29:49	ga_ls8c_ard_3-2-1_102072_2022-01-26_final
2022-01-28 11:57:31	ga_ls8c_ard_3-2-1_116075_2022-01-28_final
2022-03-06 10:34:15	ga_ls8c_ard_3-2-1_103068_2022-03-06_final
2022-04-11 10:08:33	ga_ls8c_ard_3-2-1_099066_2022-04-11_final
2022-04-22 09:52:48	ga_ls8c_ard_3-2-1_096073_2022-04-22_final
2022-06-05 11:58:38	ga_ls8c_ard_3-2-1_116078_2022-06-05_final
2022-06-23 11:47:39	ga_ls8c_ard_3-2-1_114081_2022-06-23_final
2022-09-10 11:05:09	ga_ls8c_ard_3-2-1_107082_2022-09-10_final
2022-09-21 10:45:52	ga_ls8c_ard_3-2-1_104080_2022-09-21_final
2022-10-07 10:45:48	ga_ls8c_ard_3-2-1_104080_2022-10-07_final
2022-10-20 10:16:53	ga_ls8c_ard_3-2-1_099085_2022-10-20_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-10-26 09:41:03	ga_ls8c_ard_3-2-1_093088_2022-10-26_final
2022-11-04 09:32:54	ga_ls8c_ard_3-2-1_092083_2022-11-04_final
2023-02-15 11:17:59	ga_ls8c_ard_3-2-1_109084_2023-02-15_final
2023-05-25 11:46:44	ga_ls8c_ard_3-2-1_114081_2023-05-25_final
2023-06-24 11:56:53	ga_ls8c_ard_3-2-1_116075_2023-06-24_final
2023-09-21 10:16:23	ga_ls8c_ard_3-2-1_099085_2023-09-21_final
2023-10-14 08:42:35	ga_ls8c_ard_3-2-1_084082_2023-10-13_final
2023-10-16 10:10:18	ga_ls8c_ard_3-2-1_098085_2023-10-16_final
2023-11-27 10:45:28	ga_ls8c_ard_3-2-1_104080_2023-11-27_final
2023-12-13 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-13_final
2023-12-29 10:45:23	ga_ls8c_ard_3-2-1_104080_2023-12-29_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