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

73 results

Time (local)	Label
2013-07-09 11:39:38	ga_ls8c_ard_3-0-0_113072_2013-07-09_final
2013-07-15 09:30:27	ga_ls8c_ard_3-0-0_091089_2013-07-15_final
2013-11-09 11:19:39	ga_ls8c_ard_3-0-0_110069_2013-11-09_final
2013-12-23 10:10:47	ga_ls8c_ard_3-0-0_098083_2013-12-23_final
2013-12-30 10:11:20	ga_ls8c_ard_3-0-0_099069_2013-12-30_final
2014-01-31 11:53:53	ga_ls8c_ard_3-0-0_115079_2014-01-31_final
2014-05-27 09:51:08	ga_ls8c_ard_3-0-0_095085_2014-05-27_final
2014-08-21 09:11:24	ga_ls8c_ard_3-0-0_089077_2014-08-20_final
2014-09-24 10:39:55	ga_ls8c_ard_3-0-0_103082_2014-09-24_final
2015-02-09 11:11:37	ga_ls8c_ard_3-0-0_109069_2015-02-09_final
2015-02-14 11:29:16	ga_ls8c_ard_3-0-0_112067_2015-02-14_final
2015-03-11 11:22:56	ga_ls8c_ard_3-0-0_111067_2015-03-11_final
2015-04-21 11:21:16	ga_ls8c_ard_3-0-0_110079_2015-04-21_final
2015-05-18 09:27:30	ga_ls8c_ard_3-0-0_091089_2015-05-17_final
2015-06-13 10:02:49	ga_ls8c_ard_3-0-0_097084_2015-06-13_final
2015-06-29 10:01:20	ga_ls8c_ard_3-0-0_097080_2015-06-29_final
2015-07-22 11:41:25	ga_ls8c_ard_3-0-0_114067_2015-07-22_final
2015-11-08 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-11-08_final
2016-01-10 10:33:19	ga_ls8c_ard_3-0-0_102081_2016-01-10_final
2016-01-22 09:20:23	ga_ls8c_ard_3-0-0_090084_2016-01-21_final
2016-02-12 09:32:01	ga_ls8c_ard_3-0-0_093067_2016-02-12_final
2016-03-08 09:29:20	ga_ls8c_ard_3-0-0_092076_2016-03-07_final
2016-06-19 09:33:22	ga_ls8c_ard_3-0-0_093071_2016-06-19_final
2016-06-27 10:22:30	ga_ls8c_ard_3-0-0_101070_2016-06-27_final
2016-10-22 10:46:22	ga_ls8c_ard_3-0-0_104082_2016-10-22_final
2017-01-09 09:58:33	ga_ls8c_ard_3-0-0_097071_2017-01-09_final
2017-04-21 09:26:40	ga_ls8c_ard_3-0-0_091086_2017-04-20_final
2017-06-04 09:45:14	ga_ls8c_ard_3-0-0_095070_2017-06-04_final
2017-08-18 09:35:06	ga_ls8c_ard_3-0-0_092090_2017-08-18_final
2017-12-03 09:11:28	ga_ls8c_ard_3-0-0_089077_2017-12-02_final
2017-12-13 08:10:52	ga_ls8c_ard_3-2-1_079080_2017-12-12_final
2018-01-04 09:11:27	ga_ls8c_ard_3-0-0_089077_2018-01-03_final
2018-03-26 11:28:58	ga_ls8c_ard_3-0-0_112067_2018-03-26_final
2018-06-19 11:52:08	ga_ls8c_ard_3-0-0_115080_2018-06-19_final
2018-07-28 11:56:38	ga_ls8c_ard_3-0-0_116075_2018-07-28_final
2018-09-05 10:22:16	ga_ls8c_ard_3-0-0_101070_2018-09-05_final
2018-10-23 10:22:34	ga_ls8c_ard_3-0-0_101070_2018-10-23_final
2018-12-25 09:40:30	ga_ls8c_ard_3-0-0_094073_2018-12-25_final
2019-04-23 09:46:12	ga_ls8c_ard_3-0-0_095073_2019-04-23_final
2019-06-03 11:16:51	ga_ls8c_ard_3-0-0_110067_2019-06-03_final
2019-06-22 11:53:04	ga_ls8c_ard_3-1-0_115080_2019-06-22_final
2019-07-12 11:24:02	ga_ls8c_ard_3-1-0_111069_2019-07-12_final
2019-08-23 10:22:51	ga_ls8c_ard_3-1-0_101070_2019-08-23_final
2019-08-29 09:44:36	ga_ls8c_ard_3-1-0_095067_2019-08-29_final
2019-11-29 11:53:07	ga_ls8c_ard_3-1-0_115079_2019-11-29_final
2020-01-20 11:25:26	ga_ls8c_ard_3-1-0_111072_2020-01-20_final
2020-04-30 10:08:48	ga_ls8c_ard_3-1-0_098083_2020-04-30_final
2020-05-15 09:27:53	ga_ls8c_ard_3-1-0_091089_2020-05-14_final
2020-05-26 10:43:04	ga_ls8c_ard_3-1-0_104076_2020-05-26_final
2020-06-30 09:33:49	ga_ls8c_ard_3-1-0_093072_2020-06-30_final
2020-08-31 09:45:45	ga_ls8c_ard_3-1-0_095070_2020-08-31_final
2020-11-15 10:16:36	ga_ls8c_ard_3-1-0_099085_2020-11-15_final
2020-12-20 09:06:40	ga_ls8c_ard_3-2-0_088080_2020-12-19_final
2021-01-22 09:46:09	ga_ls8c_ard_3-2-0_095071_2021-01-22_final
2021-04-26 11:37:15	ga_ls8c_ard_3-2-0_113072_2021-04-26_final
2021-05-05 11:30:58	ga_ls8c_ard_3-2-0_112072_2021-05-05_final
2021-05-07 09:39:19	ga_ls8c_ard_3-2-0_094071_2021-05-07_final
2021-05-14 11:23:40	ga_ls8c_ard_3-2-0_111069_2021-05-14_final
2021-06-08 09:40:01	ga_ls8c_ard_3-2-0_094072_2021-06-08_final
2021-06-28 10:55:52	ga_ls8c_ard_3-2-0_106076_2021-06-28_final
2021-07-01 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-07-01_final
2021-08-04 09:34:31	ga_ls8c_ard_3-2-0_093073_2021-08-04_final
2021-08-30 10:14:08	ga_ls8c_ard_3-2-0_099079_2021-08-30_final
2021-09-17 09:57:27	ga_ls8c_ard_3-2-0_097068_2021-09-17_final
2021-10-18 10:59:12	ga_ls8c_ard_3-2-0_106083_2021-10-18_final
2021-11-13 11:32:14	ga_ls8c_ard_3-2-0_112073_2021-11-13_final
2021-11-15 09:45:22	ga_ls8c_ard_3-2-0_094084_2021-11-15_final
2022-01-29 09:26:13	ga_ls8c_ard_3-2-1_091083_2022-01-28_final
2022-02-15 10:10:12	ga_ls8c_ard_3-2-1_098085_2022-02-15_final
2022-03-13 10:45:10	ga_ls8c_ard_3-2-1_104080_2022-03-13_final
2022-06-11 09:44:20	ga_ls8c_ard_3-2-1_094082_2022-06-11_final
2023-12-30 11:24:15	ga_ls8c_ard_3-2-1_111069_2023-12-30_final
2024-02-09 09:40:44	ga_ls8c_ard_3-2-1_094073_2024-02-09_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