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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

44 results

Time (local)	Label
2014-05-19 10:37:45	ga_ls8c_ard_3-0-0_103078_2014-05-19_final
2014-10-22 09:20:19	ga_ls8c_ard_3-0-0_091068_2014-10-21_final
2015-03-22 09:31:25	ga_ls8c_ard_3-0-0_092082_2015-03-22_final
2015-03-23 10:09:04	ga_ls8c_ard_3-0-0_099068_2015-03-23_final
2015-05-25 09:26:56	ga_ls8c_ard_3-0-0_092072_2015-05-24_final
2015-06-14 09:06:49	ga_ls8c_ard_3-0-0_088083_2015-06-13_final
2015-06-24 09:44:20	ga_ls8c_ard_3-0-0_094084_2015-06-24_final
2016-03-31 09:33:42	ga_ls8c_ard_3-0-0_093072_2016-03-31_final
2016-11-03 09:26:37	ga_ls8c_ard_3-0-0_092068_2016-11-02_final
2017-01-01 10:49:37	ga_ls8c_ard_3-0-0_105075_2017-01-01_final
2017-01-31 11:03:49	ga_ls8c_ard_3-0-0_107080_2017-01-31_final
2017-02-04 10:35:52	ga_ls8c_ard_3-0-0_103072_2017-02-04_final
2017-02-12 11:30:02	ga_ls8c_ard_3-0-0_111084_2017-02-12_final
2017-02-24 10:13:24	ga_ls8c_ard_3-0-0_099078_2017-02-24_final
2017-04-12 09:28:09	ga_ls8c_ard_3-0-0_092074_2017-04-11_final
2017-04-20 10:19:54	ga_ls8c_ard_3-0-0_100080_2017-04-20_final
2017-07-18 10:09:23	ga_ls8c_ard_3-0-0_099068_2017-07-18_final
2017-10-25 10:46:19	ga_ls8c_ard_3-0-0_104082_2017-10-25_final
2018-04-20 11:23:21	ga_ls8c_ard_3-0-0_111069_2018-04-20_final
2018-07-30 11:46:42	ga_ls8c_ard_3-0-0_114081_2018-07-30_final
2019-10-08 10:39:49	ga_ls8c_ard_3-1-0_103081_2019-10-08_final
2020-03-05 09:17:26	ga_ls8c_ard_3-1-0_090077_2020-03-04_final
2020-03-13 10:04:01	ga_ls8c_ard_3-1-0_098070_2020-03-13_final
2020-06-16 09:27:19	ga_ls8c_ard_3-1-0_091087_2020-06-15_final
2020-06-28 09:44:10	ga_ls8c_ard_3-1-0_095067_2020-06-28_final
2020-07-04 10:49:36	ga_ls8c_ard_3-1-0_105076_2020-07-04_final
2020-09-17 10:29:07	ga_ls8c_ard_3-1-0_102070_2020-09-17_final
2020-11-21 11:14:26	ga_ls8c_ard_3-1-0_109075_2020-11-21_final
2020-12-20 10:46:21	ga_ls8c_ard_3-2-0_104082_2020-12-20_final
2021-06-08 09:45:36	ga_ls8c_ard_3-2-0_094086_2021-06-08_final
2021-09-27 10:39:46	ga_ls8c_ard_3-2-0_103081_2021-09-27_final
2021-10-14 11:20:19	ga_ls8c_ard_3-2-0_110074_2021-10-14_final
2021-10-21 11:26:07	ga_ls8c_ard_3-2-0_111073_2021-10-21_final
2022-01-02 09:40:28	ga_ls8c_ard_3-2-1_094072_2022-01-02_final
2022-04-24 11:17:42	ga_ls8c_ard_3-2-1_110069_2022-04-24_final
2022-05-23 10:48:57	ga_ls8c_ard_3-2-1_105074_2022-05-23_final
2022-06-09 09:58:16	ga_ls8c_ard_3-2-1_096086_2022-06-09_final
2023-01-17 10:02:50	ga_ls8c_ard_3-2-1_098066_2023-01-17_final
2023-02-02 10:09:43	ga_ls8c_ard_3-2-1_098083_2023-02-02_final
2023-04-08 09:14:33	ga_ls8c_ard_3-2-1_089086_2023-04-07_final
2023-06-24 10:18:47	ga_ls8c_ard_3-2-1_100077_2023-06-24_final
2023-07-02 11:07:34	ga_ls8c_ard_3-2-1_108075_2023-07-02_final
2023-08-20 10:15:53	ga_ls8c_ard_3-2-1_099084_2023-08-20_final
2023-11-17 10:07:33	ga_ls8c_ard_3-2-1_098078_2023-11-17_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