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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

64 results

Time (local)	Label
2013-04-28 09:16:40	ga_ls8c_ard_3-0-0_089086_2013-04-27_final
2013-05-19 09:36:16	ga_ls8c_ard_3-0-0_092088_2013-05-19_final
2013-09-30 10:31:56	ga_ls8c_ard_3-0-0_102073_2013-09-30_final
2013-11-03 10:21:26	ga_ls8c_ard_3-0-0_100078_2013-11-03_final
2014-01-20 10:29:37	ga_ls8c_ard_3-0-0_102069_2014-01-20_final
2014-01-24 10:05:16	ga_ls8c_ard_3-0-0_098070_2014-01-24_final
2014-03-15 11:32:22	ga_ls8c_ard_3-0-0_112073_2014-03-15_final
2014-06-14 09:39:44	ga_ls8c_ard_3-0-0_093087_2014-06-14_final
2014-07-21 09:51:40	ga_ls8c_ard_3-0-0_096070_2014-07-21_final
2014-09-23 11:30:46	ga_ls8c_ard_3-0-0_112070_2014-09-23_final
2014-11-30 11:08:08	ga_ls8c_ard_3-0-0_108075_2014-11-30_final
2015-01-10 11:00:37	ga_ls8c_ard_3-0-0_107072_2015-01-10_final
2015-01-21 10:40:24	ga_ls8c_ard_3-0-0_104068_2015-01-21_final
2015-03-06 09:34:22	ga_ls8c_ard_3-0-0_092089_2015-03-06_final
2015-04-10 11:39:25	ga_ls8c_ard_3-0-0_113078_2015-04-10_final
2015-04-28 11:23:22	ga_ls8c_ard_3-0-0_111069_2015-04-28_final
2015-10-28 09:57:52	ga_ls8c_ard_3-0-0_096085_2015-10-28_final
2015-11-14 10:37:33	ga_ls8c_ard_3-0-0_103076_2015-11-14_final
2016-03-17 09:23:54	ga_ls8c_ard_3-0-0_091078_2016-03-16_final
2016-08-26 09:16:15	ga_ls8c_ard_3-0-0_089089_2016-08-25_final
2016-10-07 11:23:35	ga_ls8c_ard_3-0-0_111067_2016-10-07_final
2016-10-21 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-10-21_final
2016-11-04 10:10:16	ga_ls8c_ard_3-0-0_099069_2016-11-04_final
2017-01-09 09:57:21	ga_ls8c_ard_3-0-0_097068_2017-01-09_final
2017-05-17 09:56:37	ga_ls8c_ard_3-0-0_097068_2017-05-17_final
2017-08-12 10:07:22	ga_ls8c_ard_3-0-0_098078_2017-08-12_final
2017-10-28 11:12:50	ga_ls8c_ard_3-0-0_109071_2017-10-28_final
2017-11-24 10:54:35	ga_ls8c_ard_3-0-0_106072_2017-11-24_final
2017-11-30 10:19:27	ga_ls8c_ard_3-0-0_100077_2017-11-30_final
2018-03-08 10:09:22	ga_ls8c_ard_3-0-0_098084_2018-03-08_final
2018-09-14 11:58:12	ga_ls8c_ard_3-0-0_116078_2018-09-14_final
2018-10-30 10:33:10	ga_ls8c_ard_3-0-0_102081_2018-10-30_final
2019-03-13 11:33:52	ga_ls8c_ard_3-1-0_112079_2019-03-13_final
2019-07-03 11:30:35	ga_ls8c_ard_3-1-0_112070_2019-07-03_final
2019-07-05 09:39:44	ga_ls8c_ard_3-1-0_094071_2019-07-05_final
2019-08-15 11:17:27	ga_ls8c_ard_3-1-0_109083_2019-08-15_final
2019-11-09 10:36:13	ga_ls8c_ard_3-1-0_103072_2019-11-09_final
2019-12-03 11:26:24	ga_ls8c_ard_3-1-0_111074_2019-12-03_final
2020-01-13 11:19:17	ga_ls8c_ard_3-1-0_110072_2020-01-13_final
2020-02-11 09:10:34	ga_ls8c_ard_3-1-0_089075_2020-02-10_final
2020-02-17 10:09:57	ga_ls8c_ard_3-1-0_099069_2020-02-17_final
2020-04-06 09:20:45	ga_ls8c_ard_3-1-0_090086_2020-04-05_final
2020-06-02 10:48:31	ga_ls8c_ard_3-1-0_105074_2020-06-02_final
2020-09-24 10:36:08	ga_ls8c_ard_3-1-0_103072_2020-09-24_final
2020-10-08 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-10-07_final
2020-10-30 10:13:50	ga_ls8c_ard_3-1-0_099078_2020-10-30_final
2020-11-23 09:20:25	ga_ls8c_ard_3-1-0_091068_2020-11-22_final
2020-12-12 11:33:01	ga_ls8c_ard_3-1-0_112075_2020-12-12_final
2021-03-07 10:15:51	ga_ls8c_ard_3-2-0_099084_2021-03-07_final
2021-04-08 10:10:52	ga_ls8c_ard_3-2-0_099072_2021-04-08_final
2021-05-04 10:49:19	ga_ls8c_ard_3-2-0_105076_2021-05-04_final
2021-06-12 10:52:13	ga_ls8c_ard_3-2-0_106067_2021-06-12_final
2021-06-20 10:08:00	ga_ls8c_ard_3-2-0_098080_2021-06-20_final
2021-08-22 09:22:16	ga_ls8c_ard_3-2-0_091073_2021-08-21_final
2021-08-23 10:07:31	ga_ls8c_ard_3-2-0_098078_2021-08-23_final
2022-06-30 11:51:27	ga_ls8c_ard_3-2-1_115075_2022-06-30_final
2022-11-11 11:17:31	ga_ls8c_ard_3-2-1_109082_2022-11-11_final
2022-11-17 10:35:10	ga_ls8c_ard_3-2-1_103069_2022-11-17_final
2023-04-13 11:05:07	ga_ls8c_ard_3-2-1_108069_2023-04-13_final
2023-04-24 09:12:26	ga_ls8c_ard_3-2-1_089081_2023-04-23_final
2023-09-22 09:22:21	ga_ls8c_ard_3-2-1_090089_2023-09-21_final
2023-10-17 10:49:57	ga_ls8c_ard_3-2-1_105076_2023-10-17_final
2024-02-14 09:57:39	ga_ls8c_ard_3-2-1_097069_2024-02-14_final
2024-04-17 09:21:24	ga_ls8c_ard_3-2-1_090088_2024-04-16_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years