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

83 results

Time (local)	Label
2013-05-26 09:35:42	ga_ls8c_ard_3-0-0_093071_2013-05-26_final
2013-09-11 11:37:40	ga_ls8c_ard_3-0-0_113067_2013-09-11_final
2013-10-29 10:05:40	ga_ls8c_ard_3-0-0_097085_2013-10-29_final
2014-01-22 10:20:50	ga_ls8c_ard_3-0-0_100078_2014-01-22_final
2014-03-27 10:19:58	ga_ls8c_ard_3-0-0_100078_2014-03-27_final
2014-05-27 09:51:08	ga_ls8c_ard_3-0-0_095085_2014-05-27_final
2014-05-30 10:19:17	ga_ls8c_ard_3-0-0_100078_2014-05-30_final
2014-06-30 11:13:53	ga_ls8c_ard_3-0-0_109075_2014-06-30_final
2014-07-11 10:52:15	ga_ls8c_ard_3-0-0_106067_2014-07-11_final
2014-07-16 11:14:24	ga_ls8c_ard_3-0-0_109076_2014-07-16_final
2014-08-15 11:24:09	ga_ls8c_ard_3-0-0_111069_2014-08-15_final
2014-08-21 09:11:24	ga_ls8c_ard_3-0-0_089077_2014-08-20_final
2015-01-02 10:09:09	ga_ls8c_ard_3-0-0_099067_2015-01-02_final
2015-05-27 09:20:57	ga_ls8c_ard_3-0-0_090088_2015-05-26_final
2015-08-27 11:16:54	ga_ls8c_ard_3-0-0_110067_2015-08-27_final
2016-01-31 10:48:40	ga_ls8c_ard_3-0-0_105073_2016-01-31_final
2016-03-04 11:29:46	ga_ls8c_ard_3-0-0_112068_2016-03-04_final
2016-06-03 11:14:12	ga_ls8c_ard_3-0-0_109076_2016-06-03_final
2016-10-29 10:51:21	ga_ls8c_ard_3-0-0_105079_2016-10-29_final
2017-01-11 11:23:28	ga_ls8c_ard_3-0-0_111067_2017-01-11_final
2017-02-12 11:24:26	ga_ls8c_ard_3-0-0_111070_2017-02-12_final
2017-02-28 11:23:57	ga_ls8c_ard_3-0-0_111069_2017-02-28_final
2017-03-05 11:41:39	ga_ls8c_ard_3-0-0_114067_2017-03-05_final
2017-06-23 11:58:20	ga_ls8c_ard_3-0-0_116078_2017-06-23_final
2017-07-15 11:23:43	ga_ls8c_ard_3-0-0_110084_2017-07-15_final
2017-10-12 11:14:48	ga_ls8c_ard_3-0-0_109076_2017-10-12_final
2017-10-24 11:35:57	ga_ls8c_ard_3-0-0_113067_2017-10-24_final
2017-11-22 11:07:45	ga_ls8c_ard_3-0-0_108074_2017-11-22_final
2018-02-27 10:10:03	ga_ls8c_ard_3-0-0_099070_2018-02-27_final
2018-06-02 09:33:50	ga_ls8c_ard_3-0-0_092090_2018-06-02_final
2018-07-09 09:50:19	ga_ls8c_ard_3-0-0_095084_2018-07-09_final
2018-07-18 11:16:18	ga_ls8c_ard_3-0-0_110067_2018-07-18_final
2018-07-23 09:55:59	ga_ls8c_ard_3-0-0_097067_2018-07-23_final
2018-12-09 11:17:00	ga_ls8c_ard_3-0-0_110067_2018-12-09_final
2019-02-14 10:09:40	ga_ls8c_ard_3-0-0_099069_2019-02-14_final
2019-03-06 11:23:45	ga_ls8c_ard_3-0-0_111069_2019-03-06_final
2019-03-26 11:04:07	ga_ls8c_ard_3-1-0_107082_2019-03-26_final
2019-07-30 11:14:34	ga_ls8c_ard_3-1-0_109076_2019-07-30_final
2019-08-08 11:08:02	ga_ls8c_ard_3-1-0_108075_2019-08-08_final
2019-08-20 11:32:01	ga_ls8c_ard_3-1-0_112073_2019-08-20_final
2020-02-07 09:37:17	ga_ls8c_ard_3-1-0_093080_2020-02-07_final
2020-03-03 11:11:05	ga_ls8c_ard_3-1-0_108083_2020-03-03_final
2020-03-08 09:52:18	ga_ls8c_ard_3-1-0_095087_2020-03-08_final
2020-04-09 11:23:44	ga_ls8c_ard_3-1-0_111069_2020-04-09_final
2020-04-20 11:07:06	ga_ls8c_ard_3-1-0_108074_2020-04-20_final
2020-06-07 09:34:37	ga_ls8c_ard_3-1-0_092090_2020-06-07_final
2020-06-30 09:34:13	ga_ls8c_ard_3-1-0_093073_2020-06-30_final
2020-12-11 10:50:33	ga_ls8c_ard_3-1-0_105077_2020-12-11_final
2021-05-03 11:41:21	ga_ls8c_ard_3-2-0_114067_2021-05-03_final
2021-06-15 08:10:33	ga_ls8c_ard_3-2-1_079080_2021-06-14_final
2021-08-08 09:10:37	ga_ls8c_ard_3-2-0_089075_2021-08-07_final
2021-09-17 09:57:03	ga_ls8c_ard_3-2-0_097067_2021-09-17_final
2021-10-07 09:34:50	ga_ls8c_ard_3-2-0_093073_2021-10-07_final
2021-10-16 09:32:41	ga_ls8c_ard_3-2-0_092083_2021-10-16_final
2021-11-15 11:17:28	ga_ls8c_ard_3-2-0_110067_2021-11-15_final
2021-11-29 11:32:14	ga_ls8c_ard_3-2-0_112073_2021-11-29_final
2022-01-13 09:23:06	ga_ls8c_ard_3-2-1_091075_2022-01-12_final
2022-01-31 10:49:32	ga_ls8c_ard_3-2-1_105075_2022-01-31_final
2022-03-16 11:13:39	ga_ls8c_ard_3-2-1_109074_2022-03-16_final
2022-04-13 09:56:36	ga_ls8c_ard_3-2-1_097067_2022-04-13_final
2022-05-06 10:02:48	ga_ls8c_ard_3-2-1_098067_2022-05-06_final
2022-05-15 09:56:42	ga_ls8c_ard_3-2-1_097067_2022-05-15_final
2022-05-29 10:15:27	ga_ls8c_ard_3-2-1_099083_2022-05-29_final
2022-08-11 09:11:49	ga_ls8c_ard_3-2-1_089077_2022-08-10_final
2022-08-23 11:14:16	ga_ls8c_ard_3-2-1_109074_2022-08-23_final
2022-08-23 11:14:40	ga_ls8c_ard_3-2-1_109075_2022-08-23_final
2022-09-17 09:33:17	ga_ls8c_ard_3-2-1_092084_2022-09-17_final
2022-10-07 09:06:55	ga_ls8c_ard_3-2-1_088080_2022-10-06_final
2022-10-13 10:08:38	ga_ls8c_ard_3-2-1_098080_2022-10-13_final
2022-10-23 10:46:37	ga_ls8c_ard_3-2-1_104082_2022-10-23_final
2022-10-24 11:25:06	ga_ls8c_ard_3-2-1_111070_2022-10-24_final
2023-03-07 09:10:07	ga_ls8c_ard_3-2-1_089074_2023-03-06_final
2023-06-08 10:18:42	ga_ls8c_ard_3-2-1_100077_2023-06-08_final
2023-07-15 10:39:09	ga_ls8c_ard_3-2-1_103081_2023-07-15_final
2023-10-15 09:23:03	ga_ls8c_ard_3-2-1_091075_2023-10-14_final
2023-11-01 10:03:10	ga_ls8c_ard_3-2-1_098067_2023-11-01_final
2023-12-20 09:11:32	ga_ls8c_ard_3-2-1_089077_2023-12-19_final
2024-02-03 10:17:23	ga_ls8c_ard_3-2-1_100072_2024-02-03_final
2024-02-12 10:10:01	ga_ls8c_ard_3-2-1_099069_2024-02-12_final
2024-02-18 11:12:36	ga_ls8c_ard_3-2-1_109071_2024-02-18_final
2024-02-23 09:57:49	ga_ls8c_ard_3-2-1_096085_2024-02-23_final
2024-02-25 09:39:52	ga_ls8c_ard_3-2-1_094071_2024-02-25_final
2024-03-17 09:58:34	ga_ls8c_ard_3-2-1_097072_2024-03-17_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