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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

60 results

Time (local)	Label
2013-12-24 09:12:46	ga_ls8c_ard_3-0-0_089077_2013-12-23_final
2014-01-25 09:12:26	ga_ls8c_ard_3-0-0_089077_2014-01-24_final
2014-05-11 09:44:00	ga_ls8c_ard_3-0-0_095067_2014-05-11_final
2014-09-26 10:22:47	ga_ls8c_ard_3-0-0_101070_2014-09-26_final
2014-11-25 09:11:30	ga_ls8c_ard_3-0-0_089077_2014-11-24_final
2015-03-09 11:37:19	ga_ls8c_ard_3-0-0_113072_2015-03-09_final
2015-06-20 11:46:44	ga_ls8c_ard_3-0-0_114081_2015-06-20_final
2015-07-21 09:28:03	ga_ls8c_ard_3-0-0_091089_2015-07-20_final
2015-11-09 11:57:54	ga_ls8c_ard_3-0-0_116076_2015-11-09_final
2015-11-12 09:10:13	ga_ls8c_ard_3-0-0_089074_2015-11-11_final
2016-01-28 11:57:27	ga_ls8c_ard_3-0-0_116075_2016-01-28_final
2016-01-31 10:49:04	ga_ls8c_ard_3-0-0_105074_2016-01-31_final
2016-05-26 10:22:19	ga_ls8c_ard_3-0-0_101070_2016-05-26_final
2016-06-22 11:47:11	ga_ls8c_ard_3-0-0_114081_2016-06-22_final
2016-06-24 09:50:22	ga_ls8c_ard_3-0-0_096067_2016-06-24_final
2016-08-04 09:46:02	ga_ls8c_ard_3-0-0_095071_2016-08-04_final
2016-08-25 11:41:59	ga_ls8c_ard_3-0-0_114067_2016-08-25_final
2016-11-15 09:58:30	ga_ls8c_ard_3-0-0_096086_2016-11-15_final
2016-12-28 11:13:34	ga_ls8c_ard_3-0-0_109073_2016-12-28_final
2017-03-16 11:23:00	ga_ls8c_ard_3-0-0_111067_2017-03-16_final
2017-06-10 09:15:23	ga_ls8c_ard_3-0-0_089088_2017-06-09_final
2017-06-27 11:31:14	ga_ls8c_ard_3-0-0_112072_2017-06-27_final
2017-08-13 09:15:45	ga_ls8c_ard_3-0-0_089088_2017-08-12_final
2017-09-29 11:42:03	ga_ls8c_ard_3-0-0_114067_2017-09-29_final
2018-03-09 10:48:38	ga_ls8c_ard_3-0-0_105074_2018-03-09_final
2018-04-23 11:57:49	ga_ls8c_ard_3-0-0_116078_2018-04-23_final
2018-10-28 10:45:55	ga_ls8c_ard_3-0-0_104082_2018-10-28_final
2019-02-09 11:29:38	ga_ls8c_ard_3-0-0_112068_2019-02-09_final
2019-06-10 09:44:12	ga_ls8c_ard_3-0-0_095067_2019-06-10_final
2019-12-16 12:31:34	ga_ls8c_ard_3-2-1_122067_2019-12-16_final
2020-01-26 09:16:14	ga_ls8c_ard_3-1-0_089089_2020-01-25_final
2020-04-08 09:06:47	ga_ls8c_ard_3-1-0_088082_2020-04-07_final
2020-06-02 09:15:13	ga_ls8c_ard_3-1-0_089088_2020-06-01_final
2020-09-18 09:32:42	ga_ls8c_ard_3-1-0_093068_2020-09-18_final
2020-12-25 09:22:48	ga_ls8c_ard_3-2-0_091074_2020-12-24_final
2021-03-24 10:58:35	ga_ls8c_ard_3-2-0_106083_2021-03-24_final
2021-03-27 09:45:24	ga_ls8c_ard_3-2-0_095070_2021-03-27_final
2021-04-17 11:47:06	ga_ls8c_ard_3-2-0_114081_2021-04-17_final
2021-06-15 11:24:19	ga_ls8c_ard_3-2-0_111070_2021-06-15_final
2021-06-24 09:46:05	ga_ls8c_ard_3-2-0_094087_2021-06-24_final
2021-07-14 09:16:36	ga_ls8c_ard_3-2-0_090075_2021-07-13_final
2021-07-23 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-07-22_final
2021-08-16 09:57:19	ga_ls8c_ard_3-2-0_097068_2021-08-16_final
2021-08-18 09:45:46	ga_ls8c_ard_3-2-0_095070_2021-08-18_final
2021-10-12 11:32:17	ga_ls8c_ard_3-2-0_112073_2021-10-12_final
2021-11-02 10:10:45	ga_ls8c_ard_3-2-0_099070_2021-11-02_final
2021-12-10 09:34:00	ga_ls8c_ard_3-2-1_093071_2021-12-10_final
2021-12-10 11:12:05	ga_ls8c_ard_3-2-1_109069_2021-12-10_final
2021-12-15 11:32:13	ga_ls8c_ard_3-2-1_112073_2021-12-15_final
2021-12-21 09:17:01	ga_ls8c_ard_3-2-1_090075_2021-12-20_final
2022-02-13 10:22:11	ga_ls8c_ard_3-2-1_100084_2022-02-13_final
2022-02-18 10:39:29	ga_ls8c_ard_3-2-1_103081_2022-02-18_final
2022-03-15 10:28:24	ga_ls8c_ard_3-2-1_102069_2022-03-15_final
2022-03-30 11:23:50	ga_ls8c_ard_3-2-1_111069_2022-03-30_final
2022-06-18 11:26:41	ga_ls8c_ard_3-2-1_111075_2022-06-18_final
2022-06-21 11:58:24	ga_ls8c_ard_3-2-1_116077_2022-06-21_final
2023-02-11 09:57:29	ga_ls8c_ard_3-2-1_097068_2023-02-11_final
2023-03-25 10:34:05	ga_ls8c_ard_3-2-1_103068_2023-03-25_final
2023-06-21 09:51:51	ga_ls8c_ard_3-2-1_095087_2023-06-21_final
2023-10-17 09:15:52	ga_ls8c_ard_3-2-1_089088_2023-10-16_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