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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

45 results

Time (local)	Label
2014-09-15 14:09:55	ga_ls8c_ard_3-2-1_136097_2014-09-15_interim
2014-10-17 14:10:01	ga_ls8c_ard_3-2-1_136097_2014-10-17_interim
2015-09-18 14:09:44	ga_ls8c_ard_3-2-1_136097_2015-09-18_final
2015-10-04 14:09:48	ga_ls8c_ard_3-2-1_136097_2015-10-04_final
2015-12-07 14:09:54	ga_ls8c_ard_3-2-1_136097_2015-12-07_final
2015-12-23 14:09:55	ga_ls8c_ard_3-2-1_136097_2015-12-23_final
2016-09-20 14:10:01	ga_ls8c_ard_3-2-1_136097_2016-09-20_final
2016-10-06 14:10:03	ga_ls8c_ard_3-2-1_136097_2016-10-06_final
2016-10-22 14:10:07	ga_ls8c_ard_3-2-1_136097_2016-10-22_final
2016-11-07 14:10:07	ga_ls8c_ard_3-2-1_136097_2016-11-07_final
2016-11-23 14:10:07	ga_ls8c_ard_3-2-1_136097_2016-11-23_final
2016-12-09 14:10:05	ga_ls8c_ard_3-2-1_136097_2016-12-09_final
2017-09-23 14:09:57	ga_ls8c_ard_3-2-1_136097_2017-09-23_final
2017-10-09 14:10:03	ga_ls8c_ard_3-2-1_136097_2017-10-09_final
2017-11-10 14:10:03	ga_ls8c_ard_3-2-1_136097_2017-11-10_final
2017-12-28 14:09:57	ga_ls8c_ard_3-2-1_136097_2017-12-28_final
2018-09-26 14:09:28	ga_ls8c_ard_3-2-1_136097_2018-09-26_final
2018-10-12 14:09:36	ga_ls8c_ard_3-2-1_136097_2018-10-12_final
2018-10-28 14:09:41	ga_ls8c_ard_3-2-1_136097_2018-10-28_final
2018-11-13 14:09:43	ga_ls8c_ard_3-2-1_136097_2018-11-13_final
2018-11-29 14:09:42	ga_ls8c_ard_3-2-1_136097_2018-11-29_final
2019-10-15 14:10:10	ga_ls8c_ard_3-2-1_136097_2019-10-15_final
2019-10-31 14:10:10	ga_ls8c_ard_3-2-1_136097_2019-10-31_final
2020-12-04 14:10:08	ga_ls8c_ard_3-2-1_136097_2020-12-04_final
2020-12-20 14:10:07	ga_ls8c_ard_3-2-1_136097_2020-12-20_final
2021-11-05 14:10:11	ga_ls8c_ard_3-2-1_136097_2021-11-05_final
2022-04-14 14:09:37	ga_ls8c_ard_3-2-1_136097_2022-04-14_final
2022-09-05 14:10:20	ga_ls8c_ard_3-2-1_136097_2022-09-05_final
2022-09-21 14:10:25	ga_ls8c_ard_3-2-1_136097_2022-09-21_final
2022-10-07 14:10:22	ga_ls8c_ard_3-2-1_136097_2022-10-07_final
2022-10-23 14:10:23	ga_ls8c_ard_3-2-1_136097_2022-10-23_final
2022-11-08 14:10:24	ga_ls8c_ard_3-2-1_136097_2022-11-08_final
2022-11-24 14:10:19	ga_ls8c_ard_3-2-1_136097_2022-11-24_final
2022-12-10 14:10:18	ga_ls8c_ard_3-2-1_136097_2022-12-10_final
2023-02-12 14:10:04	ga_ls8c_ard_3-2-1_136097_2023-02-12_final
2023-09-08 14:09:45	ga_ls8c_ard_3-2-1_136097_2023-09-08_final
2023-09-24 14:09:52	ga_ls8c_ard_3-2-1_136097_2023-09-24_final
2023-10-10 14:09:56	ga_ls8c_ard_3-2-1_136097_2023-10-10_final
2023-10-26 14:09:59	ga_ls8c_ard_3-2-1_136097_2023-10-26_final
2023-11-27 14:10:01	ga_ls8c_ard_3-2-1_136097_2023-11-27_final
2023-12-13 14:09:57	ga_ls8c_ard_3-2-1_136097_2023-12-13_final
2023-12-29 14:09:57	ga_ls8c_ard_3-2-1_136097_2023-12-29_final
2024-01-14 14:09:54	ga_ls8c_ard_3-2-1_136097_2024-01-14_final
2024-02-15 14:09:50	ga_ls8c_ard_3-2-1_136097_2024-02-15_final
2024-03-02 14:09:44	ga_ls8c_ard_3-2-1_136097_2024-03-02_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