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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

61 results

Time (local)	Label
2013-05-13 10:09:41	ga_ls8c_ard_3-0-0_098079_2013-05-13_final
2013-06-21 11:54:19	ga_ls8c_ard_3-0-0_115078_2013-06-21_final
2013-10-31 11:26:13	ga_ls8c_ard_3-0-0_111070_2013-10-31_final
2013-12-08 10:48:13	ga_ls8c_ard_3-0-0_105068_2013-12-08_final
2014-03-20 10:13:57	ga_ls8c_ard_3-0-0_099078_2014-03-20_final
2014-04-21 10:09:26	ga_ls8c_ard_3-0-0_099068_2014-04-21_final
2014-07-21 09:57:15	ga_ls8c_ard_3-0-0_096084_2014-07-21_final
2015-01-11 10:03:00	ga_ls8c_ard_3-0-0_098067_2015-01-11_final
2015-01-31 09:39:47	ga_ls8c_ard_3-0-0_094071_2015-01-31_final
2015-02-24 10:28:40	ga_ls8c_ard_3-0-0_102070_2015-02-24_final
2015-03-01 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-02-28_final
2015-03-07 10:09:14	ga_ls8c_ard_3-0-0_099068_2015-03-07_final
2016-06-11 10:23:58	ga_ls8c_ard_3-0-0_101074_2016-06-11_final
2016-10-05 09:57:50	ga_ls8c_ard_3-0-0_097069_2016-10-05_final
2017-02-12 11:25:38	ga_ls8c_ard_3-0-0_111073_2017-02-12_final
2017-02-24 10:09:49	ga_ls8c_ard_3-0-0_099069_2017-02-24_final
2017-11-02 11:30:34	ga_ls8c_ard_3-0-0_112069_2017-11-02_final
2017-12-20 09:50:47	ga_ls8c_ard_3-0-0_096067_2017-12-20_final
2018-03-01 09:56:52	ga_ls8c_ard_3-0-0_097068_2018-03-01_final
2018-07-15 09:15:40	ga_ls8c_ard_3-0-0_089090_2018-07-14_final
2018-07-28 10:18:57	ga_ls8c_ard_3-0-0_100078_2018-07-28_final
2018-10-04 09:57:56	ga_ls8c_ard_3-0-0_096086_2018-10-04_final
2019-01-13 10:13:22	ga_ls8c_ard_3-0-0_099078_2019-01-13_final
2019-02-18 11:24:13	ga_ls8c_ard_3-0-0_111070_2019-02-18_final
2019-02-24 09:11:25	ga_ls8c_ard_3-0-0_089078_2019-02-23_final
2019-04-03 10:09:28	ga_ls8c_ard_3-1-0_099069_2019-04-03_final
2019-05-12 10:18:26	ga_ls8c_ard_3-0-0_100076_2019-05-12_final
2019-07-25 10:56:23	ga_ls8c_ard_3-1-0_106077_2019-07-25_final
2019-11-23 09:10:50	ga_ls8c_ard_3-1-0_089075_2019-11-22_final
2019-12-16 09:22:11	ga_ls8c_ard_3-2-0_090088_2019-12-15_final
2019-12-16 10:56:16	ga_ls8c_ard_3-2-0_106076_2019-12-16_final
2020-02-03 09:57:38	ga_ls8c_ard_3-1-0_097069_2020-02-03_final
2020-02-25 09:28:03	ga_ls8c_ard_3-1-0_091088_2020-02-24_final
2020-06-07 09:28:13	ga_ls8c_ard_3-1-0_092074_2020-06-06_final
2020-06-08 10:09:06	ga_ls8c_ard_3-1-0_099068_2020-06-08_final
2020-10-24 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-10-23_final
2021-01-12 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-01-11_final
2021-01-31 09:40:45	ga_ls8c_ard_3-2-0_094073_2021-01-31_final
2021-04-14 11:14:13	ga_ls8c_ard_3-2-0_109076_2021-04-14_final
2021-06-07 10:39:13	ga_ls8c_ard_3-2-0_103081_2021-06-07_final
2021-06-11 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-06-11_final
2021-07-07 09:15:37	ga_ls8c_ard_3-2-0_089088_2021-07-06_final
2021-09-07 09:27:56	ga_ls8c_ard_3-2-0_091087_2021-09-06_final
2021-12-23 09:07:03	ga_ls8c_ard_3-2-1_088081_2021-12-22_final
2022-01-16 09:52:00	ga_ls8c_ard_3-2-1_096070_2022-01-16_final
2022-01-25 11:25:27	ga_ls8c_ard_3-2-1_111072_2022-01-25_final
2022-02-02 10:37:11	ga_ls8c_ard_3-2-1_103075_2022-02-02_final
2022-05-01 11:25:52	ga_ls8c_ard_3-2-1_111074_2022-05-01_final
2022-08-05 11:24:09	ga_ls8c_ard_3-2-1_111068_2022-08-05_final
2022-11-09 09:46:37	ga_ls8c_ard_3-2-1_095071_2022-11-09_final
2022-11-17 10:39:10	ga_ls8c_ard_3-2-1_103079_2022-11-17_final
2022-12-09 11:42:59	ga_ls8c_ard_3-2-1_113084_2022-12-09_final
2023-01-07 11:07:33	ga_ls8c_ard_3-2-1_108073_2023-01-07_final
2023-07-13 09:09:49	ga_ls8c_ard_3-2-1_089074_2023-07-12_final
2023-09-29 11:01:29	ga_ls8c_ard_3-2-1_107074_2023-09-29_final
2023-12-10 10:10:03	ga_ls8c_ard_3-2-1_099069_2023-12-10_final
2024-01-11 10:13:14	ga_ls8c_ard_3-2-1_099077_2024-01-11_final
2024-01-18 10:19:25	ga_ls8c_ard_3-2-1_100077_2024-01-18_final
2024-03-19 09:47:23	ga_ls8c_ard_3-2-1_095075_2024-03-19_final
2024-04-16 10:10:39	ga_ls8c_ard_3-2-1_099072_2024-04-16_nrt
2024-04-20 11:23:57	ga_ls8c_ard_3-2-1_111070_2024-04-20_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