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
2013-06-02 11:25:09	ga_ls8c_ard_3-0-0_110082_2013-06-02_final
2013-06-25 09:46:20	ga_ls8c_ard_3-0-0_095067_2013-06-25_final
2013-12-19 10:34:44	ga_ls8c_ard_3-0-0_102081_2013-12-19_final
2014-05-04 11:19:59	ga_ls8c_ard_3-0-0_110075_2014-05-04_final
2014-06-12 11:23:47	ga_ls8c_ard_3-0-0_111069_2014-06-12_final
2014-06-23 09:25:35	ga_ls8c_ard_3-0-0_092067_2014-06-22_final
2014-11-01 09:57:45	ga_ls8c_ard_3-0-0_097069_2014-11-01_final
2015-06-24 09:43:08	ga_ls8c_ard_3-0-0_094081_2015-06-24_final
2015-11-30 10:36:48	ga_ls8c_ard_3-0-0_103074_2015-11-30_final
2015-12-03 09:34:47	ga_ls8c_ard_3-0-0_092089_2015-12-03_final
2015-12-28 09:21:49	ga_ls8c_ard_3-0-0_091072_2015-12-27_final
2016-03-13 09:44:15	ga_ls8c_ard_3-0-0_095067_2016-03-13_final
2016-03-26 10:52:31	ga_ls8c_ard_3-0-0_106068_2016-03-26_final
2016-04-05 09:50:14	ga_ls8c_ard_3-0-0_096067_2016-04-05_final
2016-05-23 09:50:12	ga_ls8c_ard_3-0-0_096067_2016-05-23_final
2016-06-14 10:57:16	ga_ls8c_ard_3-0-0_106080_2016-06-14_final
2016-08-13 09:45:51	ga_ls8c_ard_3-0-0_094086_2016-08-13_final
2016-10-30 09:58:07	ga_ls8c_ard_3-0-0_096085_2016-10-30_final
2017-02-14 09:33:59	ga_ls8c_ard_3-0-0_093072_2017-02-14_final
2017-10-10 09:44:41	ga_ls8c_ard_3-0-0_095067_2017-10-10_final
2018-01-14 11:28:56	ga_ls8c_ard_3-0-0_111081_2018-01-14_final
2018-02-27 10:10:03	ga_ls8c_ard_3-0-0_099070_2018-02-27_final
2018-04-15 11:07:16	ga_ls8c_ard_3-0-0_108075_2018-04-15_final
2018-06-09 11:12:56	ga_ls8c_ard_3-0-0_109075_2018-06-09_final
2018-06-28 10:08:22	ga_ls8c_ard_3-0-0_098083_2018-06-28_final
2018-06-29 10:48:50	ga_ls8c_ard_3-0-0_105076_2018-06-29_final
2018-12-04 09:27:58	ga_ls8c_ard_3-0-0_091088_2018-12-03_final
2019-01-03 09:34:19	ga_ls8c_ard_3-0-0_093073_2019-01-03_final
2019-01-29 10:09:42	ga_ls8c_ard_3-0-0_099069_2019-01-29_final
2019-03-19 09:20:17	ga_ls8c_ard_3-1-0_090085_2019-03-18_final
2019-03-26 09:19:39	ga_ls8c_ard_3-1-0_091068_2019-03-25_final
2019-03-29 09:52:32	ga_ls8c_ard_3-1-0_096073_2019-03-29_final
2020-02-27 09:10:30	ga_ls8c_ard_3-1-0_089075_2020-02-26_final
2020-04-29 09:19:34	ga_ls8c_ard_3-1-0_091068_2020-04-28_final
2020-05-11 09:45:24	ga_ls8c_ard_3-1-0_095071_2020-05-11_final
2020-06-02 10:48:55	ga_ls8c_ard_3-1-0_105075_2020-06-02_final
2020-08-24 09:39:55	ga_ls8c_ard_3-1-0_094071_2020-08-24_final
2020-10-16 11:38:47	ga_ls8c_ard_3-1-0_113074_2020-10-16_final
2021-01-10 09:23:30	ga_ls8c_ard_3-2-0_091076_2021-01-09_final
2021-01-11 10:04:21	ga_ls8c_ard_3-2-0_098070_2021-01-11_final
2021-01-27 11:41:58	ga_ls8c_ard_3-2-0_114067_2021-01-27_final
2021-07-30 10:55:37	ga_ls8c_ard_3-2-0_106075_2021-07-30_final
2021-12-08 09:46:22	ga_ls8c_ard_3-2-1_095071_2021-12-08_final
2022-01-15 09:10:44	ga_ls8c_ard_3-2-1_089075_2022-01-14_final
2022-03-10 10:10:42	ga_ls8c_ard_3-2-1_099071_2022-03-10_final
2022-05-04 10:16:44	ga_ls8c_ard_3-2-1_100071_2022-05-04_final
2022-05-30 09:20:39	ga_ls8c_ard_3-2-1_090085_2022-05-29_final
2022-11-13 11:05:56	ga_ls8c_ard_3-2-1_107084_2022-11-13_final
2022-12-04 09:40:47	ga_ls8c_ard_3-2-1_094072_2022-12-04_final
2022-12-13 11:17:02	ga_ls8c_ard_3-2-1_109081_2022-12-13_final
2022-12-27 11:24:06	ga_ls8c_ard_3-2-1_111068_2022-12-27_final
2023-01-02 09:10:32	ga_ls8c_ard_3-2-1_089074_2023-01-01_final
2023-02-27 09:57:38	ga_ls8c_ard_3-2-1_097069_2023-02-27_final
2023-05-10 09:10:39	ga_ls8c_ard_3-2-1_089077_2023-05-09_final
2024-01-30 10:46:03	ga_ls8c_ard_3-2-1_104082_2024-01-30_final
2024-02-05 10:09:50	ga_ls8c_ard_3-2-1_098084_2024-02-05_final
2024-03-15 10:10:33	ga_ls8c_ard_3-2-1_099071_2024-03-15_nrt

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