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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

46 results

Time (local)	Label
2013-11-13 10:54:31	ga_ls8c_ard_3-0-0_106068_2013-11-13_final
2014-01-18 10:47:10	ga_ls8c_ard_3-0-0_104082_2014-01-18_final
2014-01-21 11:13:40	ga_ls8c_ard_3-0-0_109071_2014-01-21_final
2014-12-17 11:52:31	ga_ls8c_ard_3-0-0_115078_2014-12-17_final
2016-02-16 09:16:26	ga_ls8c_ard_3-0-0_089090_2016-02-15_final
2016-03-02 10:04:02	ga_ls8c_ard_3-0-0_098070_2016-03-02_final
2016-05-06 10:48:12	ga_ls8c_ard_3-0-0_105073_2016-05-06_final
2016-05-29 10:52:26	ga_ls8c_ard_3-0-0_106068_2016-05-29_final
2016-07-21 09:32:02	ga_ls8c_ard_3-0-0_093067_2016-07-21_final
2017-01-27 09:46:29	ga_ls8c_ard_3-0-0_095072_2017-01-27_final
2017-02-20 10:35:46	ga_ls8c_ard_3-0-0_103072_2017-02-20_final
2017-08-14 11:29:31	ga_ls8c_ard_3-0-0_112067_2017-08-14_final
2017-09-02 10:23:11	ga_ls8c_ard_3-0-0_101071_2017-09-02_final
2018-03-31 10:13:46	ga_ls8c_ard_3-0-0_099080_2018-03-31_final
2018-06-06 09:05:07	ga_ls8c_ard_3-0-0_088080_2018-06-05_final
2018-11-03 10:10:03	ga_ls8c_ard_3-0-0_098085_2018-11-03_final
2019-01-12 11:07:23	ga_ls8c_ard_3-0-0_108074_2019-01-12_final
2019-02-15 10:52:32	ga_ls8c_ard_3-0-0_106068_2019-02-15_final
2019-06-14 09:26:41	ga_ls8c_ard_3-1-0_091085_2019-06-13_final
2019-06-15 10:09:33	ga_ls8c_ard_3-1-0_098084_2019-06-15_final
2019-08-08 09:25:58	ga_ls8c_ard_3-1-0_092067_2019-08-07_final
2019-12-10 11:30:59	ga_ls8c_ard_3-1-0_112070_2019-12-10_final
2019-12-15 10:11:01	ga_ls8c_ard_3-2-0_099071_2019-12-15_final
2020-03-10 09:35:56	ga_ls8c_ard_3-1-0_093077_2020-03-10_final
2020-04-08 10:43:40	ga_ls8c_ard_3-1-0_104077_2020-04-08_final
2020-05-13 09:38:38	ga_ls8c_ard_3-1-0_093085_2020-05-13_final
2020-07-20 10:46:06	ga_ls8c_ard_3-1-0_105067_2020-07-20_final
2020-09-07 11:30:52	ga_ls8c_ard_3-1-0_112070_2020-09-07_final
2020-12-11 09:10:52	ga_ls8c_ard_3-1-0_089075_2020-12-10_final
2021-01-08 11:17:57	ga_ls8c_ard_3-2-0_109084_2021-01-08_final
2021-03-21 10:22:54	ga_ls8c_ard_3-2-0_101071_2021-03-21_final
2021-05-07 09:39:19	ga_ls8c_ard_3-2-0_094071_2021-05-07_final
2021-07-31 10:04:00	ga_ls8c_ard_3-2-0_097085_2021-07-31_final
2021-08-24 10:49:35	ga_ls8c_ard_3-2-0_105075_2021-08-24_final
2021-10-01 10:10:41	ga_ls8c_ard_3-2-0_099070_2021-10-01_final
2022-01-30 10:08:16	ga_ls8c_ard_3-2-1_098080_2022-01-30_final
2022-01-31 10:49:08	ga_ls8c_ard_3-2-1_105074_2022-01-31_final
2022-04-12 09:20:07	ga_ls8c_ard_3-2-1_090084_2022-04-11_final
2022-05-24 11:36:12	ga_ls8c_ard_3-2-1_112084_2022-05-24_final
2022-08-08 10:19:47	ga_ls8c_ard_3-2-1_100077_2022-08-08_final
2023-09-30 10:03:28	ga_ls8c_ard_3-2-1_098068_2023-09-30_final
2023-11-22 10:26:07	ga_ls8c_ard_3-2-1_101078_2023-11-22_final
2023-12-10 10:10:27	ga_ls8c_ard_3-2-1_099070_2023-12-10_final
2024-01-28 09:22:42	ga_ls8c_ard_3-2-1_090090_2024-01-27_final
2024-04-09 10:06:56	ga_ls8c_ard_3-2-1_098078_2024-04-09_final
2024-04-14 10:27:25	ga_ls8c_ard_3-2-1_101083_2024-04-14_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