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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

71 results

Time (local)	Label
2013-06-09 11:25:19	ga_ls8c_ard_3-0-0_111067_2013-06-09_final
2013-06-25 11:25:14	ga_ls8c_ard_3-0-0_111067_2013-06-25_final
2013-10-20 10:05:34	ga_ls8c_ard_3-0-0_098069_2013-10-20_final
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
2014-01-16 09:21:50	ga_ls8c_ard_3-0-0_090085_2014-01-15_final
2014-02-04 09:47:50	ga_ls8c_ard_3-0-0_095073_2014-02-04_final
2014-04-20 11:08:15	ga_ls8c_ard_3-0-0_108076_2014-04-20_final
2014-08-02 10:16:53	ga_ls8c_ard_3-0-0_100071_2014-08-02_final
2014-08-27 10:10:48	ga_ls8c_ard_3-0-0_099071_2014-08-27_final
2015-10-25 11:03:27	ga_ls8c_ard_3-0-0_107079_2015-10-25_final
2015-12-26 11:14:39	ga_ls8c_ard_3-0-0_109076_2015-12-26_final
2016-01-09 09:45:40	ga_ls8c_ard_3-0-0_095070_2016-01-09_final
2016-02-06 10:13:08	ga_ls8c_ard_3-0-0_099077_2016-02-06_final
2016-08-11 11:29:30	ga_ls8c_ard_3-0-0_112067_2016-08-11_final
2016-09-18 09:17:20	ga_ls8c_ard_3-0-0_090076_2016-09-17_final
2016-10-10 10:20:00	ga_ls8c_ard_3-0-0_100078_2016-10-10_final
2016-12-02 10:36:10	ga_ls8c_ard_3-0-0_103072_2016-12-02_final
2017-03-08 10:35:38	ga_ls8c_ard_3-0-0_103072_2017-03-08_final
2017-05-30 09:28:15	ga_ls8c_ard_3-0-0_092074_2017-05-29_final
2017-07-03 10:55:22	ga_ls8c_ard_3-0-0_106075_2017-07-03_final
2017-07-20 11:42:18	ga_ls8c_ard_3-0-0_113084_2017-07-20_final
2017-07-26 09:27:11	ga_ls8c_ard_3-0-0_091086_2017-07-25_final
2017-10-04 10:27:43	ga_ls8c_ard_3-0-0_101082_2017-10-04_final
2017-10-13 11:58:52	ga_ls8c_ard_3-0-0_116078_2017-10-13_final
2018-01-27 10:53:31	ga_ls8c_ard_3-0-0_106070_2018-01-27_final
2018-10-18 10:04:00	ga_ls8c_ard_3-0-0_098070_2018-10-18_final
2018-11-10 11:52:44	ga_ls8c_ard_3-0-0_115079_2018-11-10_final
2018-11-30 11:26:00	ga_ls8c_ard_3-0-0_111074_2018-11-30_final
2019-04-07 11:25:12	ga_ls8c_ard_3-1-0_111073_2019-04-07_final
2019-06-19 11:20:09	ga_ls8c_ard_3-1-0_110075_2019-06-19_final
2019-06-30 09:27:34	ga_ls8c_ard_3-1-0_091087_2019-06-29_final
2019-10-18 11:18:07	ga_ls8c_ard_3-1-0_109084_2019-10-18_final
2019-11-05 11:01:45	ga_ls8c_ard_3-1-0_107074_2019-11-05_final
2019-11-14 09:22:14	ga_ls8c_ard_3-1-0_090088_2019-11-13_final
2019-12-05 09:35:09	ga_ls8c_ard_3-1-0_093074_2019-12-05_final
2019-12-05 11:14:02	ga_ls8c_ard_3-1-0_109074_2019-12-05_final
2019-12-23 11:00:02	ga_ls8c_ard_3-1-0_107070_2019-12-23_final
2019-12-25 10:46:52	ga_ls8c_ard_3-1-0_105068_2019-12-25_final
2019-12-29 10:25:43	ga_ls8c_ard_3-1-0_101077_2019-12-29_final
2020-01-27 11:32:23	ga_ls8c_ard_3-1-0_112074_2020-01-27_final
2020-02-10 10:09:47	ga_ls8c_ard_3-1-0_098084_2020-02-10_final
2020-02-14 11:20:20	ga_ls8c_ard_3-1-0_110075_2020-02-14_final
2020-04-07 09:57:37	ga_ls8c_ard_3-1-0_097070_2020-04-07_final
2020-05-10 09:05:44	ga_ls8c_ard_3-1-0_088080_2020-05-09_final
2020-06-07 09:28:37	ga_ls8c_ard_3-1-0_092075_2020-06-06_final
2020-07-26 10:10:15	ga_ls8c_ard_3-1-0_099070_2020-07-26_final
2020-08-31 11:24:38	ga_ls8c_ard_3-1-0_111070_2020-08-31_final
2020-10-02 11:25:36	ga_ls8c_ard_3-1-0_111072_2020-10-02_final
2020-10-05 10:22:01	ga_ls8c_ard_3-1-0_100083_2020-10-05_final
2020-10-22 09:22:25	ga_ls8c_ard_3-1-0_091073_2020-10-21_final
2021-01-28 10:47:57	ga_ls8c_ard_3-2-0_105071_2021-01-28_final
2021-03-23 11:52:13	ga_ls8c_ard_3-2-0_115078_2021-03-23_final
2021-09-19 11:24:47	ga_ls8c_ard_3-2-0_111070_2021-09-19_final
2021-09-21 11:18:01	ga_ls8c_ard_3-2-0_109084_2021-09-21_final
2021-12-01 09:41:23	ga_ls8c_ard_3-2-0_094074_2021-12-01_final
2021-12-17 11:20:15	ga_ls8c_ard_3-2-1_110074_2021-12-17_final
2021-12-26 09:34:44	ga_ls8c_ard_3-2-1_093073_2021-12-26_final
2022-02-05 11:07:40	ga_ls8c_ard_3-2-1_108074_2022-02-05_final
2022-06-13 09:34:00	ga_ls8c_ard_3-2-1_092087_2022-06-13_final
2022-06-22 09:27:29	ga_ls8c_ard_3-2-1_091086_2022-06-21_final
2022-06-27 11:19:45	ga_ls8c_ard_3-2-1_110073_2022-06-27_final
2022-12-11 11:25:01	ga_ls8c_ard_3-2-1_111070_2022-12-11_final
2023-01-12 11:26:03	ga_ls8c_ard_3-2-1_111073_2023-01-12_final
2023-05-06 11:13:32	ga_ls8c_ard_3-2-1_109075_2023-05-06_final
2023-06-20 10:45:29	ga_ls8c_ard_3-2-1_104082_2023-06-20_final
2023-07-25 11:14:41	ga_ls8c_ard_3-2-1_109077_2023-07-25_final
2023-11-16 09:22:41	ga_ls8c_ard_3-2-1_091074_2023-11-15_final
2023-11-28 11:25:07	ga_ls8c_ard_3-2-1_111071_2023-11-28_final
2024-02-21 10:03:48	ga_ls8c_ard_3-2-1_098069_2024-02-21_final
2024-03-05 11:11:38	ga_ls8c_ard_3-2-1_109069_2024-03-05_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