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

72 results

Time (local)	Label
2013-04-24 11:15:53	ga_ls8c_ard_3-0-0_109075_2013-04-24_final
2013-06-12 10:22:54	ga_ls8c_ard_3-0-0_100081_2013-06-12_final
2013-12-31 09:18:06	ga_ls8c_ard_3-0-0_090075_2013-12-30_final
2014-04-18 09:45:44	ga_ls8c_ard_3-0-0_094086_2014-04-18_final
2014-05-04 09:39:30	ga_ls8c_ard_3-0-0_094071_2014-05-04_final
2014-07-08 10:27:19	ga_ls8c_ard_3-0-0_101082_2014-07-08_final
2014-12-24 10:18:13	ga_ls8c_ard_3-0-0_100074_2014-12-24_final
2015-03-11 09:46:26	ga_ls8c_ard_3-0-0_095073_2015-03-11_final
2015-04-12 09:43:47	ga_ls8c_ard_3-0-0_095067_2015-04-12_final
2015-04-21 09:37:36	ga_ls8c_ard_3-0-0_094067_2015-04-21_final
2015-04-22 10:22:03	ga_ls8c_ard_3-0-0_101070_2015-04-22_final
2015-06-15 11:23:23	ga_ls8c_ard_3-0-0_111069_2015-06-15_final
2015-08-14 10:16:01	ga_ls8c_ard_3-0-0_099085_2015-08-14_final
2015-08-27 09:39:37	ga_ls8c_ard_3-0-0_094071_2015-08-27_final
2015-09-21 11:14:30	ga_ls8c_ard_3-0-0_109076_2015-09-21_final
2016-02-19 09:38:07	ga_ls8c_ard_3-0-0_094067_2016-02-19_final
2016-05-06 10:46:37	ga_ls8c_ard_3-0-0_105069_2016-05-06_final
2016-09-09 09:22:42	ga_ls8c_ard_3-0-0_091074_2016-09-08_final
2016-11-21 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-20_final
2016-12-17 11:30:56	ga_ls8c_ard_3-0-0_112070_2016-12-17_final
2017-02-05 09:38:14	ga_ls8c_ard_3-0-0_094067_2017-02-05_final
2017-04-06 10:09:16	ga_ls8c_ard_3-0-0_098084_2017-04-06_final
2017-04-29 10:08:26	ga_ls8c_ard_3-0-0_099067_2017-04-29_final
2017-07-19 10:52:15	ga_ls8c_ard_3-0-0_106067_2017-07-19_final
2017-10-06 10:09:47	ga_ls8c_ard_3-0-0_099068_2017-10-06_final
2017-10-26 09:51:06	ga_ls8c_ard_3-0-0_095083_2017-10-26_final
2017-12-02 11:44:46	ga_ls8c_ard_3-0-0_114074_2017-12-02_final
2018-02-26 09:30:23	ga_ls8c_ard_3-0-0_092079_2018-02-26_final
2018-03-10 11:29:53	ga_ls8c_ard_3-0-0_112069_2018-03-10_final
2018-03-12 11:17:30	ga_ls8c_ard_3-0-0_110069_2018-03-12_final
2018-07-09 09:49:31	ga_ls8c_ard_3-0-0_095082_2018-07-09_final
2018-07-30 10:08:36	ga_ls8c_ard_3-0-0_098083_2018-07-30_final
2018-11-23 09:45:45	ga_ls8c_ard_3-0-0_094086_2018-11-23_final
2019-04-06 10:45:32	ga_ls8c_ard_3-1-0_104082_2019-04-06_final
2019-04-19 10:10:10	ga_ls8c_ard_3-1-0_099071_2019-04-19_final
2019-06-29 10:18:00	ga_ls8c_ard_3-1-0_100074_2019-06-29_final
2019-08-18 11:41:59	ga_ls8c_ard_3-1-0_114067_2019-08-18_final
2019-08-19 10:49:33	ga_ls8c_ard_3-1-0_105075_2019-08-19_final
2019-09-25 11:08:16	ga_ls8c_ard_3-1-0_108075_2019-09-25_final
2019-12-09 09:10:50	ga_ls8c_ard_3-1-0_089075_2019-12-08_final
2020-01-22 09:32:12	ga_ls8c_ard_3-1-0_093067_2020-01-22_final
2020-04-13 11:01:23	ga_ls8c_ard_3-1-0_107075_2020-04-13_final
2020-05-20 11:22:56	ga_ls8c_ard_3-1-0_110083_2020-05-20_final
2020-05-31 09:26:45	ga_ls8c_ard_3-1-0_091086_2020-05-30_final
2020-06-24 11:52:08	ga_ls8c_ard_3-1-0_115078_2020-06-24_final
2020-07-07 09:38:03	ga_ls8c_ard_3-1-0_094067_2020-07-07_final
2020-07-23 09:46:07	ga_ls8c_ard_3-1-0_094087_2020-07-23_final
2020-09-02 11:13:53	ga_ls8c_ard_3-1-0_109074_2020-09-02_final
2021-01-14 10:39:37	ga_ls8c_ard_3-2-0_103081_2021-01-14_final
2021-02-14 11:30:45	ga_ls8c_ard_3-2-0_112070_2021-02-14_final
2021-02-18 11:08:00	ga_ls8c_ard_3-2-0_108075_2021-02-18_final
2021-06-03 11:05:07	ga_ls8c_ard_3-2-0_107084_2021-06-03_final
2021-06-18 11:58:26	ga_ls8c_ard_3-2-0_116078_2021-06-18_final
2021-07-19 09:40:22	ga_ls8c_ard_3-2-0_093088_2021-07-19_final
2021-08-01 09:06:47	ga_ls8c_ard_3-2-0_088081_2021-07-31_final
2021-10-14 09:38:39	ga_ls8c_ard_3-2-0_094067_2021-10-14_final
2022-04-05 09:11:05	ga_ls8c_ard_3-2-1_089077_2022-04-04_final
2022-06-02 11:26:30	ga_ls8c_ard_3-2-1_111075_2022-06-02_final
2022-06-05 10:21:21	ga_ls8c_ard_3-2-1_100082_2022-06-05_final
2022-11-04 09:34:30	ga_ls8c_ard_3-2-1_092087_2022-11-04_final
2023-02-26 09:16:45	ga_ls8c_ard_3-2-1_090075_2023-02-25_final
2023-04-02 09:46:34	ga_ls8c_ard_3-2-1_095073_2023-04-02_final
2023-04-02 09:52:09	ga_ls8c_ard_3-2-1_095087_2023-04-02_final
2023-07-17 10:27:11	ga_ls8c_ard_3-2-1_101082_2023-07-17_final
2023-07-18 11:07:39	ga_ls8c_ard_3-2-1_108075_2023-07-18_final
2023-07-26 11:57:58	ga_ls8c_ard_3-2-1_116077_2023-07-26_final
2023-09-13 09:21:43	ga_ls8c_ard_3-2-1_091072_2023-09-12_final
2023-10-07 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-10-07_final
2023-10-31 09:22:18	ga_ls8c_ard_3-2-1_091073_2023-10-30_final
2023-12-21 09:52:00	ga_ls8c_ard_3-2-1_096070_2023-12-21_final
2023-12-28 09:58:33	ga_ls8c_ard_3-2-1_097071_2023-12-28_final
2024-03-09 09:13:10	ga_ls8c_ard_3-2-1_089082_2024-03-08_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