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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

65 results

Time (local)	Label
2013-11-06 10:48:21	ga_ls8c_ard_3-0-0_105068_2013-11-06_final
2013-12-11 11:20:42	ga_ls8c_ard_3-0-0_110072_2013-12-11_final
2014-03-29 11:44:52	ga_ls8c_ard_3-0-0_114074_2014-03-29_final
2014-04-27 11:17:08	ga_ls8c_ard_3-0-0_109083_2014-04-27_final
2014-05-04 11:16:47	ga_ls8c_ard_3-0-0_110067_2014-05-04_final
2014-07-11 09:16:57	ga_ls8c_ard_3-0-0_090076_2014-07-10_final
2014-07-30 11:24:02	ga_ls8c_ard_3-0-0_111069_2014-07-30_final
2014-08-10 09:33:29	ga_ls8c_ard_3-0-0_092086_2014-08-10_final
2014-11-25 09:14:18	ga_ls8c_ard_3-0-0_089084_2014-11-24_final
2014-12-01 10:13:19	ga_ls8c_ard_3-0-0_099077_2014-12-01_final
2014-12-30 11:17:09	ga_ls8c_ard_3-0-0_110067_2014-12-30_final
2015-01-02 10:13:57	ga_ls8c_ard_3-0-0_099079_2015-01-02_final
2015-05-09 11:10:13	ga_ls8c_ard_3-0-0_108083_2015-05-09_final
2015-05-14 09:49:48	ga_ls8c_ard_3-0-0_095083_2015-05-14_final
2015-06-24 09:43:56	ga_ls8c_ard_3-0-0_094083_2015-06-24_final
2015-09-20 10:33:13	ga_ls8c_ard_3-0-0_102081_2015-09-20_final
2015-12-21 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-20_final
2016-03-10 09:16:34	ga_ls8c_ard_3-0-0_090075_2016-03-09_final
2016-03-19 10:51:12	ga_ls8c_ard_3-0-0_105080_2016-03-19_final
2016-04-23 11:19:25	ga_ls8c_ard_3-0-0_110074_2016-04-23_final
2016-07-10 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-07-10_final
2016-10-04 10:53:03	ga_ls8c_ard_3-0-0_106068_2016-10-04_final
2016-12-30 09:22:19	ga_ls8c_ard_3-0-0_091073_2016-12-29_final
2017-01-01 10:47:13	ga_ls8c_ard_3-0-0_105069_2017-01-01_final
2017-01-17 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-01-17_final
2017-01-26 10:46:06	ga_ls8c_ard_3-0-0_104082_2017-01-26_final
2017-02-05 09:40:38	ga_ls8c_ard_3-0-0_094073_2017-02-05_final
2017-07-28 09:10:27	ga_ls8c_ard_3-0-0_089075_2017-07-27_final
2018-01-09 11:07:15	ga_ls8c_ard_3-0-0_108073_2018-01-09_final
2018-03-14 11:07:31	ga_ls8c_ard_3-0-0_108075_2018-03-14_final
2018-04-01 10:51:50	ga_ls8c_ard_3-0-0_106067_2018-04-01_final
2018-05-19 10:54:33	ga_ls8c_ard_3-0-0_106075_2018-05-19_final
2018-06-25 09:33:02	ga_ls8c_ard_3-0-0_093072_2018-06-25_final
2018-10-07 10:22:52	ga_ls8c_ard_3-0-0_101071_2018-10-07_final
2018-11-06 10:35:22	ga_ls8c_ard_3-0-0_103071_2018-11-06_final
2019-01-19 09:33:52	ga_ls8c_ard_3-0-0_093072_2019-01-19_final
2019-04-26 10:18:41	ga_ls8c_ard_3-0-0_100077_2019-04-26_final
2019-11-08 09:58:09	ga_ls8c_ard_3-1-0_096085_2019-11-08_final
2019-11-19 11:14:27	ga_ls8c_ard_3-1-0_109075_2019-11-19_final
2020-02-07 11:14:35	ga_ls8c_ard_3-1-0_109076_2020-02-07_final
2020-04-26 10:29:58	ga_ls8c_ard_3-1-0_102074_2020-04-26_final
2020-06-02 09:11:37	ga_ls8c_ard_3-1-0_089079_2020-06-01_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-09-14 10:03:47	ga_ls8c_ard_3-1-0_097084_2020-09-14_final
2020-10-20 11:14:51	ga_ls8c_ard_3-1-0_109076_2020-10-20_final
2021-01-06 11:23:56	ga_ls8c_ard_3-2-0_111068_2021-01-06_final
2021-03-14 10:21:57	ga_ls8c_ard_3-2-0_100084_2021-03-14_final
2021-03-27 11:24:17	ga_ls8c_ard_3-2-0_111070_2021-03-27_final
2021-07-28 11:10:22	ga_ls8c_ard_3-2-0_108081_2021-07-28_final
2021-09-12 11:20:35	ga_ls8c_ard_3-2-0_110075_2021-09-12_final
2022-01-19 10:28:05	ga_ls8c_ard_3-2-1_101083_2022-01-19_final
2022-04-28 09:17:15	ga_ls8c_ard_3-2-1_090077_2022-04-27_final
2022-07-02 11:42:41	ga_ls8c_ard_3-2-1_113084_2022-07-02_final
2022-10-28 11:02:48	ga_ls8c_ard_3-2-1_107076_2022-10-28_final
2022-11-06 10:53:02	ga_ls8c_ard_3-2-1_106067_2022-11-06_final
2023-02-25 11:52:27	ga_ls8c_ard_3-2-1_115078_2023-02-25_final
2023-03-26 11:20:08	ga_ls8c_ard_3-2-1_110075_2023-03-26_final
2023-04-12 10:25:26	ga_ls8c_ard_3-2-1_101078_2023-04-12_final
2023-05-09 11:43:59	ga_ls8c_ard_3-2-1_114074_2023-05-09_final
2023-06-11 10:48:26	ga_ls8c_ard_3-2-1_105074_2023-06-11_final
2023-10-30 10:17:07	ga_ls8c_ard_3-2-1_100071_2023-10-30_final
2023-11-12 11:23:51	ga_ls8c_ard_3-2-1_111068_2023-11-12_final
2024-02-07 09:53:05	ga_ls8c_ard_3-2-1_096073_2024-02-07_final
2024-02-11 09:33:57	ga_ls8c_ard_3-2-1_092087_2024-02-11_final
2024-04-09 10:08:56	ga_ls8c_ard_3-2-1_098083_2024-04-09_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