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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

42 results

Time (local)	Label
2013-08-19 09:52:37	ga_ls8c_ard_3-0-0_096067_2013-08-19_final
2013-11-03 10:21:02	ga_ls8c_ard_3-0-0_100077_2013-11-03_final
2014-04-16 11:30:37	ga_ls8c_ard_3-0-0_112070_2014-04-16_final
2014-06-08 10:13:11	ga_ls8c_ard_3-0-0_099078_2014-06-08_final
2015-03-06 09:33:34	ga_ls8c_ard_3-0-0_092087_2015-03-06_final
2015-03-27 09:43:54	ga_ls8c_ard_3-0-0_095067_2015-03-27_final
2015-06-06 09:49:47	ga_ls8c_ard_3-0-0_096067_2015-06-06_final
2015-06-18 10:18:36	ga_ls8c_ard_3-0-0_100077_2015-06-18_final
2016-04-14 09:44:00	ga_ls8c_ard_3-0-0_095067_2016-04-14_final
2016-08-21 10:30:34	ga_ls8c_ard_3-0-0_102074_2016-08-21_final
2016-10-18 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-10-17_final
2016-11-17 09:40:34	ga_ls8c_ard_3-0-0_094072_2016-11-17_final
2016-12-26 11:23:32	ga_ls8c_ard_3-0-0_111067_2016-12-26_final
2017-01-31 09:21:44	ga_ls8c_ard_3-0-0_091072_2017-01-30_final
2017-06-22 09:33:23	ga_ls8c_ard_3-0-0_093071_2017-06-22_final
2017-06-27 09:50:21	ga_ls8c_ard_3-0-0_096067_2017-06-27_final
2018-08-22 10:12:36	ga_ls8c_ard_3-0-0_099077_2018-08-22_final
2019-02-09 09:50:21	ga_ls8c_ard_3-0-0_096067_2019-02-09_final
2019-03-26 09:19:39	ga_ls8c_ard_3-1-0_091068_2019-03-25_final
2019-08-31 11:13:55	ga_ls8c_ard_3-1-0_109074_2019-08-31_final
2020-03-20 10:13:20	ga_ls8c_ard_3-1-0_099078_2020-03-20_final
2020-04-26 10:33:10	ga_ls8c_ard_3-1-0_102082_2020-04-26_final
2020-05-23 10:12:34	ga_ls8c_ard_3-1-0_099077_2020-05-23_final
2020-07-21 09:50:29	ga_ls8c_ard_3-1-0_096067_2020-07-21_final
2020-09-11 11:10:57	ga_ls8c_ard_3-1-0_108082_2020-09-11_final
2021-03-24 10:53:00	ga_ls8c_ard_3-2-0_106069_2021-03-24_final
2021-05-28 09:56:29	ga_ls8c_ard_3-2-0_097067_2021-05-28_final
2022-02-02 10:34:23	ga_ls8c_ard_3-2-1_103068_2022-02-02_final
2022-05-20 10:19:15	ga_ls8c_ard_3-2-1_100077_2022-05-20_final
2022-06-19 10:33:28	ga_ls8c_ard_3-2-1_102081_2022-06-19_final
2022-07-15 09:34:52	ga_ls8c_ard_3-2-1_092089_2022-07-15_final
2022-09-22 11:24:21	ga_ls8c_ard_3-2-1_111068_2022-09-22_final
2022-12-24 10:55:58	ga_ls8c_ard_3-2-1_106075_2022-12-24_final
2023-01-03 09:58:35	ga_ls8c_ard_3-2-1_096086_2023-01-03_final
2023-05-04 11:23:08	ga_ls8c_ard_3-2-1_111068_2023-05-04_final
2023-07-07 11:23:46	ga_ls8c_ard_3-2-1_111069_2023-07-07_final
2023-09-07 09:56:44	ga_ls8c_ard_3-2-1_097067_2023-09-07_final
2023-10-27 11:23:54	ga_ls8c_ard_3-2-1_111068_2023-10-27_final
2024-01-21 10:49:29	ga_ls8c_ard_3-2-1_105075_2024-01-21_final
2024-01-21 10:49:29	ga_ls8c_ard_3-2-1_105075_2024-01-21_nrt
2024-02-16 11:23:45	ga_ls8c_ard_3-2-1_111068_2024-02-16_final
2024-03-25 09:09:47	ga_ls8c_ard_3-2-1_089074_2024-03-24_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