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

58 results

Time (local)	Label
2013-06-11 11:16:08	ga_ls8c_ard_3-0-0_109075_2013-06-11_final
2013-07-13 11:15:43	ga_ls8c_ard_3-0-0_109074_2013-07-13_final
2013-08-30 11:16:10	ga_ls8c_ard_3-1-0_109075_2013-08-30_final
2014-03-28 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-03-27_final
2014-06-08 11:52:52	ga_ls8c_ard_3-0-0_115080_2014-06-08_final
2015-03-16 10:09:20	ga_ls8c_ard_3-0-0_098084_2015-03-16_final
2015-04-17 10:07:07	ga_ls8c_ard_3-0-0_098079_2015-04-17_final
2015-04-23 09:33:12	ga_ls8c_ard_3-0-0_092087_2015-04-23_final
2015-06-06 11:30:40	ga_ls8c_ard_3-0-0_112072_2015-06-06_final
2015-11-26 09:27:49	ga_ls8c_ard_3-0-0_091087_2015-11-25_final
2015-12-18 10:23:13	ga_ls8c_ard_3-0-0_101071_2015-12-18_final
2016-01-21 10:16:00	ga_ls8c_ard_3-0-0_099084_2016-01-21_final
2016-04-07 09:39:51	ga_ls8c_ard_3-0-0_094072_2016-04-07_final
2016-08-06 11:14:33	ga_ls8c_ard_3-0-0_109076_2016-08-06_final
2016-11-20 10:13:51	ga_ls8c_ard_3-0-0_099078_2016-11-20_final
2016-12-24 11:37:53	ga_ls8c_ard_3-0-0_113072_2016-12-24_final
2017-01-14 10:17:04	ga_ls8c_ard_3-0-0_100071_2017-01-14_final
2017-03-31 10:45:36	ga_ls8c_ard_3-0-0_104082_2017-03-31_final
2017-05-24 11:44:09	ga_ls8c_ard_3-0-0_114074_2017-05-24_final
2017-07-06 09:44:12	ga_ls8c_ard_3-0-0_095067_2017-07-06_final
2017-10-24 10:04:15	ga_ls8c_ard_3-0-0_097085_2017-10-24_final
2017-11-08 10:53:28	ga_ls8c_ard_3-0-0_106069_2017-11-08_final
2017-11-16 10:09:59	ga_ls8c_ard_3-0-0_098084_2017-11-16_final
2017-12-10 09:21:38	ga_ls8c_ard_3-0-0_090087_2017-12-09_final
2017-12-20 11:30:28	ga_ls8c_ard_3-0-0_112069_2017-12-20_final
2018-03-11 10:39:03	ga_ls8c_ard_3-0-0_103081_2018-03-11_final
2018-09-17 10:49:02	ga_ls8c_ard_3-0-0_105075_2018-09-17_final
2018-10-29 09:46:42	ga_ls8c_ard_3-0-0_095073_2018-10-29_final
2018-11-23 09:40:57	ga_ls8c_ard_3-0-0_094074_2018-11-23_final
2019-01-08 11:29:20	ga_ls8c_ard_3-0-0_112067_2019-01-08_final
2019-02-04 11:13:29	ga_ls8c_ard_3-0-0_109074_2019-02-04_final
2019-02-18 11:23:49	ga_ls8c_ard_3-0-0_111069_2019-02-18_final
2019-03-15 11:22:41	ga_ls8c_ard_3-1-0_110082_2019-03-15_final
2019-05-12 10:19:14	ga_ls8c_ard_3-0-0_100078_2019-05-12_final
2020-01-17 09:17:16	ga_ls8c_ard_3-1-0_090076_2020-01-16_final
2020-01-22 11:13:28	ga_ls8c_ard_3-1-0_109073_2020-01-22_final
2020-01-23 10:21:26	ga_ls8c_ard_3-1-0_100082_2020-01-23_final
2020-07-20 10:46:30	ga_ls8c_ard_3-1-0_105068_2020-07-20_final
2020-09-30 11:42:45	ga_ls8c_ard_3-1-0_113084_2020-09-30_final
2020-10-18 09:51:08	ga_ls8c_ard_3-1-0_095083_2020-10-18_final
2020-12-18 10:54:20	ga_ls8c_ard_3-2-0_106071_2020-12-18_final
2021-02-09 09:34:33	ga_ls8c_ard_3-2-0_093073_2021-02-09_final
2021-03-22 09:33:40	ga_ls8c_ard_3-2-0_092087_2021-03-22_final
2021-06-05 10:49:34	ga_ls8c_ard_3-2-0_105076_2021-06-05_final
2021-07-18 10:33:35	ga_ls8c_ard_3-2-0_102082_2021-07-18_final
2021-07-19 09:39:34	ga_ls8c_ard_3-2-0_093086_2021-07-19_final
2021-08-07 10:07:26	ga_ls8c_ard_3-2-0_098078_2021-08-07_final
2021-08-17 10:42:35	ga_ls8c_ard_3-2-0_104073_2021-08-17_final
2021-10-17 10:14:21	ga_ls8c_ard_3-2-0_099079_2021-10-17_final
2021-10-25 11:01:48	ga_ls8c_ard_3-2-0_107074_2021-10-25_final
2022-01-21 10:16:30	ga_ls8c_ard_3-2-1_099085_2022-01-21_final
2022-05-13 10:13:26	ga_ls8c_ard_3-2-1_099078_2022-05-13_final
2022-08-17 10:11:39	ga_ls8c_ard_3-2-1_099072_2022-08-17_final
2022-09-25 10:20:21	ga_ls8c_ard_3-2-1_100078_2022-09-25_final
2022-10-15 09:53:53	ga_ls8c_ard_3-2-1_096074_2022-10-15_final
2023-10-04 09:40:21	ga_ls8c_ard_3-2-1_094072_2023-10-04_final
2023-11-11 10:46:09	ga_ls8c_ard_3-2-1_104082_2023-11-11_final
2024-01-12 10:52:31	ga_ls8c_ard_3-2-1_106067_2024-01-12_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