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

57 results

Time (local)	Label
2013-04-01 10:14:01	ga_ls8c_ard_3-0-0_099083_2013-04-01_final
2013-07-19 10:40:36	ga_ls8c_ard_3-0-0_103079_2013-07-19_final
2013-11-09 09:39:58	ga_ls8c_ard_3-0-0_094067_2013-11-09_final
2013-12-06 09:29:41	ga_ls8c_ard_3-0-0_091088_2013-12-05_final
2014-04-03 10:26:05	ga_ls8c_ard_3-0-0_101078_2014-04-03_final
2014-05-04 11:19:59	ga_ls8c_ard_3-0-0_110075_2014-05-04_final
2015-04-10 11:37:49	ga_ls8c_ard_3-0-0_113074_2015-04-10_final
2015-04-26 09:56:53	ga_ls8c_ard_3-0-0_097069_2015-04-26_final
2015-08-07 11:41:28	ga_ls8c_ard_3-0-0_114067_2015-08-07_final
2015-08-26 10:38:01	ga_ls8c_ard_3-0-0_103078_2015-08-26_final
2015-08-27 09:38:01	ga_ls8c_ard_3-0-0_094067_2015-08-27_final
2015-10-20 10:46:04	ga_ls8c_ard_3-0-0_104082_2015-10-20_final
2015-11-22 09:44:33	ga_ls8c_ard_3-0-0_095067_2015-11-22_final
2015-12-04 10:10:28	ga_ls8c_ard_3-0-0_099070_2015-12-04_final
2016-01-21 10:15:12	ga_ls8c_ard_3-0-0_099082_2016-01-21_final
2016-02-07 09:16:43	ga_ls8c_ard_3-0-0_090075_2016-02-06_final
2017-01-02 11:29:41	ga_ls8c_ard_3-0-0_112067_2017-01-02_final
2017-01-30 11:58:15	ga_ls8c_ard_3-0-0_116077_2017-01-30_final
2017-02-15 10:19:38	ga_ls8c_ard_3-0-0_100078_2017-02-15_final
2017-07-09 10:21:30	ga_ls8c_ard_3-0-0_100083_2017-07-09_final
2017-08-02 09:33:49	ga_ls8c_ard_3-0-0_092087_2017-08-02_final
2017-10-06 10:09:47	ga_ls8c_ard_3-0-0_099068_2017-10-06_final
2017-10-27 10:29:34	ga_ls8c_ard_3-0-0_102071_2017-10-27_final
2017-12-24 09:34:02	ga_ls8c_ard_3-0-0_092087_2017-12-24_final
2018-03-26 11:29:22	ga_ls8c_ard_3-0-0_112068_2018-03-26_final
2018-05-13 09:57:13	ga_ls8c_ard_3-0-0_096086_2018-05-13_final
2018-06-28 10:02:46	ga_ls8c_ard_3-0-0_098069_2018-06-28_final
2018-10-06 11:16:53	ga_ls8c_ard_3-0-0_110067_2018-10-06_final
2019-01-10 09:38:05	ga_ls8c_ard_3-0-0_094067_2019-01-10_final
2019-04-18 09:28:54	ga_ls8c_ard_3-1-0_092076_2019-04-17_final
2019-06-14 09:24:42	ga_ls8c_ard_3-1-0_091080_2019-06-13_final
2019-06-28 09:34:44	ga_ls8c_ard_3-1-0_093074_2019-06-28_final
2019-07-24 10:09:55	ga_ls8c_ard_3-1-0_099069_2019-07-24_final
2019-08-29 09:44:36	ga_ls8c_ard_3-1-0_095067_2019-08-29_final
2019-12-12 09:38:32	ga_ls8c_ard_3-1-0_094067_2019-12-12_final
2020-01-04 09:44:37	ga_ls8c_ard_3-1-0_095067_2020-01-04_final
2020-02-09 11:05:00	ga_ls8c_ard_3-1-0_107083_2020-02-09_final
2020-04-24 10:41:57	ga_ls8c_ard_3-1-0_104073_2020-04-24_final
2020-05-22 11:07:23	ga_ls8c_ard_3-1-0_108075_2020-05-22_final
2020-06-14 09:31:41	ga_ls8c_ard_3-1-0_093067_2020-06-14_final
2020-07-13 09:06:59	ga_ls8c_ard_3-1-0_088082_2020-07-12_final
2020-11-17 11:37:57	ga_ls8c_ard_3-1-0_113072_2020-11-17_final
2020-12-28 09:52:53	ga_ls8c_ard_3-2-0_096072_2020-12-28_final
2021-02-11 09:20:11	ga_ls8c_ard_3-2-0_091068_2021-02-10_final
2021-06-27 10:10:13	ga_ls8c_ard_3-2-0_099070_2021-06-27_final
2021-09-07 09:22:20	ga_ls8c_ard_3-2-0_091073_2021-09-06_final
2021-10-20 09:07:10	ga_ls8c_ard_3-2-0_088081_2021-10-19_final
2021-10-23 09:34:05	ga_ls8c_ard_3-2-0_093071_2021-10-23_final
2021-11-15 09:38:35	ga_ls8c_ard_3-2-0_094067_2021-11-15_final
2021-11-25 10:22:27	ga_ls8c_ard_3-2-0_100084_2021-11-25_final
2021-12-25 10:30:21	ga_ls8c_ard_3-2-1_102073_2021-12-25_final
2022-02-22 10:09:09	ga_ls8c_ard_3-2-1_099067_2022-02-22_final
2022-05-27 10:22:37	ga_ls8c_ard_3-2-1_101070_2022-05-27_final
2022-08-24 10:22:38	ga_ls8c_ard_3-2-1_100084_2022-08-24_final
2022-08-29 10:37:35	ga_ls8c_ard_3-2-1_103075_2022-08-29_final
2023-11-08 11:52:57	ga_ls8c_ard_3-2-1_115079_2023-11-08_final
2024-02-13 10:54:04	ga_ls8c_ard_3-2-1_106071_2024-02-13_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