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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
2013-05-11 10:23:12	ga_ls8c_ard_3-0-0_100082_2013-05-11_final
2014-01-31 10:11:48	ga_ls8c_ard_3-0-0_099071_2014-01-31_final
2014-07-18 11:04:02	ga_ls8c_ard_3-0-0_107081_2014-07-18_final
2014-11-13 10:22:55	ga_ls8c_ard_3-0-0_101070_2014-11-13_final
2015-03-18 11:29:51	ga_ls8c_ard_3-0-0_112069_2015-03-18_final
2015-07-01 09:43:48	ga_ls8c_ard_3-0-0_095067_2015-07-01_final
2015-08-08 09:15:21	ga_ls8c_ard_3-0-0_089088_2015-08-07_final
2015-09-03 09:44:13	ga_ls8c_ard_3-0-0_095067_2015-09-03_final
2015-10-26 10:03:02	ga_ls8c_ard_3-0-0_098067_2015-10-26_final
2015-11-13 09:50:41	ga_ls8c_ard_3-0-0_096067_2015-11-13_final
2015-11-28 09:14:40	ga_ls8c_ard_3-0-0_089085_2015-11-27_final
2016-04-23 09:37:45	ga_ls8c_ard_3-0-0_094067_2016-04-23_final
2016-08-03 09:06:21	ga_ls8c_ard_3-0-0_088080_2016-08-02_final
2017-04-20 10:19:54	ga_ls8c_ard_3-0-0_100080_2017-04-20_final
2017-04-24 09:49:57	ga_ls8c_ard_3-0-0_096067_2017-04-24_final
2017-11-27 09:44:34	ga_ls8c_ard_3-0-0_095067_2017-11-27_final
2018-01-27 10:54:19	ga_ls8c_ard_3-0-0_106072_2018-01-27_final
2018-10-10 09:20:06	ga_ls8c_ard_3-0-0_090084_2018-10-09_final
2019-01-06 10:02:49	ga_ls8c_ard_3-0-0_098067_2019-01-06_final
2019-03-12 09:10:56	ga_ls8c_ard_3-1-0_089077_2019-03-11_final
2019-03-16 10:22:17	ga_ls8c_ard_3-1-0_101070_2019-03-16_final
2019-05-12 11:56:55	ga_ls8c_ard_3-0-0_116075_2019-05-12_final
2019-05-12 11:57:19	ga_ls8c_ard_3-0-0_116076_2019-05-12_final
2019-07-15 11:57:44	ga_ls8c_ard_3-1-0_116076_2019-07-15_final
2020-01-01 10:59:00	ga_ls8c_ard_3-1-0_106083_2020-01-01_final
2020-06-22 10:22:24	ga_ls8c_ard_3-1-0_101070_2020-06-22_final
2020-10-18 09:44:45	ga_ls8c_ard_3-1-0_095067_2020-10-18_final
2020-12-05 09:46:21	ga_ls8c_ard_3-1-0_095071_2020-12-05_final
2021-01-19 10:58:55	ga_ls8c_ard_3-2-0_106083_2021-01-19_final
2021-02-23 09:44:26	ga_ls8c_ard_3-2-0_095067_2021-02-23_final
2021-04-12 09:44:07	ga_ls8c_ard_3-2-0_095067_2021-04-12_final
2021-04-25 10:52:00	ga_ls8c_ard_3-2-0_106067_2021-04-25_final
2021-06-15 09:44:15	ga_ls8c_ard_3-2-0_095067_2021-06-15_final
2021-09-26 09:50:55	ga_ls8c_ard_3-2-0_096067_2021-09-26_final
2021-10-05 09:44:47	ga_ls8c_ard_3-2-0_095067_2021-10-05_final
2021-11-24 09:34:47	ga_ls8c_ard_3-2-0_093073_2021-11-24_final
2021-12-06 09:57:32	ga_ls8c_ard_3-2-1_097068_2021-12-06_final
2022-01-22 09:16:53	ga_ls8c_ard_3-2-1_090075_2022-01-21_final
2022-05-07 09:11:35	ga_ls8c_ard_3-2-1_089078_2022-05-06_final
2022-06-02 11:24:06	ga_ls8c_ard_3-2-1_111069_2022-06-02_final
2022-07-07 11:57:38	ga_ls8c_ard_3-2-1_116075_2022-07-07_final
2022-07-07 11:58:02	ga_ls8c_ard_3-2-1_116076_2022-07-07_final
2022-12-11 11:25:01	ga_ls8c_ard_3-2-1_111070_2022-12-11_final
2023-01-04 10:39:51	ga_ls8c_ard_3-2-1_103081_2023-01-04_final
2023-01-12 11:24:51	ga_ls8c_ard_3-2-1_111070_2023-01-12_final
2023-05-04 11:23:56	ga_ls8c_ard_3-2-1_111070_2023-05-04_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