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

53 results

Time (local)	Label
2013-04-11 10:07:26	ga_ls8c_ard_3-0-0_098068_2013-04-11_final
2013-06-02 11:23:09	ga_ls8c_ard_3-0-0_110077_2013-06-02_final
2013-07-20 09:47:46	ga_ls8c_ard_3-0-0_094086_2013-07-20_final
2014-01-05 09:35:47	ga_ls8c_ard_3-0-0_093073_2014-01-05_final
2014-01-21 11:12:52	ga_ls8c_ard_3-0-0_109069_2014-01-21_final
2014-02-03 10:46:15	ga_ls8c_ard_3-0-0_104080_2014-02-03_final
2014-03-05 09:21:39	ga_ls8c_ard_3-0-0_090086_2014-03-04_final
2014-07-02 09:28:15	ga_ls8c_ard_3-0-0_091089_2014-07-01_final
2015-04-24 10:12:27	ga_ls8c_ard_3-0-0_099077_2015-04-24_final
2015-06-06 11:28:40	ga_ls8c_ard_3-0-0_112067_2015-06-06_final
2015-08-21 11:58:20	ga_ls8c_ard_3-0-0_116078_2015-08-21_final
2015-09-22 11:57:22	ga_ls8c_ard_3-0-0_116075_2015-09-22_final
2016-02-02 10:39:05	ga_ls8c_ard_3-0-0_103080_2016-02-02_final
2016-03-07 10:22:34	ga_ls8c_ard_3-0-0_101070_2016-03-07_final
2016-03-15 11:11:34	ga_ls8c_ard_3-0-0_109069_2016-03-15_final
2016-05-30 10:03:36	ga_ls8c_ard_3-0-0_097085_2016-05-30_final
2016-07-23 09:27:40	ga_ls8c_ard_3-0-0_091087_2016-07-22_final
2016-09-01 10:16:30	ga_ls8c_ard_3-0-0_099085_2016-09-01_final
2016-11-15 11:32:36	ga_ls8c_ard_3-0-0_112074_2016-11-15_final
2016-12-01 09:50:55	ga_ls8c_ard_3-0-0_096067_2016-12-01_final
2017-03-02 09:34:17	ga_ls8c_ard_3-0-0_093073_2017-03-02_final
2017-06-23 11:57:56	ga_ls8c_ard_3-0-0_116077_2017-06-23_final
2017-10-24 10:04:15	ga_ls8c_ard_3-0-0_097085_2017-10-24_final
2017-12-13 09:44:34	ga_ls8c_ard_3-0-0_095067_2017-12-13_final
2018-03-23 09:22:48	ga_ls8c_ard_3-0-0_091076_2018-03-22_final
2018-07-16 11:29:03	ga_ls8c_ard_3-0-0_112068_2018-07-16_final
2018-10-02 11:41:35	ga_ls8c_ard_3-0-0_114067_2018-10-02_final
2018-12-29 09:20:58	ga_ls8c_ard_3-0-0_090086_2018-12-28_final
2019-08-22 09:39:59	ga_ls8c_ard_3-1-0_094071_2019-08-22_final
2019-08-26 09:20:28	ga_ls8c_ard_3-1-0_090084_2019-08-25_final
2019-09-16 09:39:31	ga_ls8c_ard_3-1-0_093085_2019-09-16_final
2020-01-05 10:33:28	ga_ls8c_ard_3-1-0_102081_2020-01-05_final
2020-01-24 09:25:01	ga_ls8c_ard_3-1-0_091080_2020-01-23_final
2020-05-30 11:57:16	ga_ls8c_ard_3-1-0_116076_2020-05-30_final
2020-06-12 09:44:01	ga_ls8c_ard_3-1-0_095067_2020-06-12_final
2020-08-30 10:46:09	ga_ls8c_ard_3-1-0_104082_2020-08-30_final
2020-11-17 09:57:28	ga_ls8c_ard_3-1-0_097068_2020-11-17_final
2020-11-23 09:22:24	ga_ls8c_ard_3-1-0_091073_2020-11-22_final
2020-12-05 09:44:46	ga_ls8c_ard_3-1-0_095067_2020-12-05_final
2020-12-26 11:42:09	ga_ls8c_ard_3-2-0_114067_2020-12-26_final
2021-02-23 09:46:02	ga_ls8c_ard_3-2-0_095071_2021-02-23_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-04-28 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-04-28_final
2021-05-12 11:41:11	ga_ls8c_ard_3-2-0_113082_2021-05-12_final
2021-05-23 11:17:35	ga_ls8c_ard_3-2-0_110069_2021-05-23_final
2021-07-30 09:17:08	ga_ls8c_ard_3-2-0_090076_2021-07-29_final
2021-09-03 11:24:44	ga_ls8c_ard_3-2-0_111070_2021-09-03_final
2021-09-16 09:17:23	ga_ls8c_ard_3-2-0_090076_2021-09-15_final
2021-09-21 09:34:44	ga_ls8c_ard_3-2-0_093073_2021-09-21_final
2022-12-24 10:59:09	ga_ls8c_ard_3-2-1_106083_2022-12-24_final
2023-06-10 11:46:50	ga_ls8c_ard_3-2-1_114081_2023-06-10_final
2023-07-27 09:27:52	ga_ls8c_ard_3-2-1_091088_2023-07-26_final
2024-02-24 10:39:29	ga_ls8c_ard_3-2-1_103081_2024-02-24_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