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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

70 results

Time (local)	Label
2013-07-23 10:15:53	ga_ls8c_ard_3-0-0_099079_2013-07-23_final
2013-12-14 10:15:04	ga_ls8c_ard_3-0-0_099078_2013-12-14_final
2013-12-18 11:25:35	ga_ls8c_ard_3-0-0_111069_2013-12-18_final
2014-07-27 09:21:24	ga_ls8c_ard_3-0-0_090087_2014-07-26_final
2014-10-27 09:38:25	ga_ls8c_ard_3-0-0_094067_2014-10-27_final
2014-12-01 10:13:43	ga_ls8c_ard_3-0-0_099078_2014-12-01_final
2015-01-10 09:21:44	ga_ls8c_ard_3-0-0_091072_2015-01-09_final
2015-03-23 10:13:04	ga_ls8c_ard_3-0-0_099078_2015-03-23_final
2015-06-02 11:56:55	ga_ls8c_ard_3-0-0_116076_2015-06-02_final
2015-07-13 10:12:39	ga_ls8c_ard_3-0-0_099077_2015-07-13_final
2015-11-18 11:52:32	ga_ls8c_ard_3-0-0_115078_2015-11-18_final
2016-01-02 11:18:25	ga_ls8c_ard_3-0-0_110070_2016-01-02_final
2016-01-04 09:28:45	ga_ls8c_ard_3-0-0_092074_2016-01-03_final
2016-06-30 09:22:07	ga_ls8c_ard_3-0-0_090089_2016-06-29_final
2016-07-07 11:03:39	ga_ls8c_ard_3-0-0_107080_2016-07-07_final
2016-07-19 09:44:23	ga_ls8c_ard_3-0-0_095067_2016-07-19_final
2016-11-15 11:32:12	ga_ls8c_ard_3-0-0_112073_2016-11-15_final
2016-12-19 09:38:29	ga_ls8c_ard_3-0-0_094067_2016-12-19_final
2016-12-23 10:53:02	ga_ls8c_ard_3-0-0_106068_2016-12-23_final
2016-12-31 10:09:58	ga_ls8c_ard_3-0-0_098084_2016-12-31_final
2017-01-23 10:10:50	ga_ls8c_ard_3-0-0_099071_2017-01-23_final
2017-02-22 10:22:59	ga_ls8c_ard_3-0-0_101071_2017-02-22_final
2017-07-09 10:19:30	ga_ls8c_ard_3-0-0_100078_2017-07-09_final
2017-07-10 09:23:29	ga_ls8c_ard_3-0-0_091077_2017-07-09_final
2017-09-24 09:45:47	ga_ls8c_ard_3-0-0_095070_2017-09-24_final
2018-04-16 10:12:25	ga_ls8c_ard_3-0-0_099077_2018-04-16_final
2018-05-02 10:12:17	ga_ls8c_ard_3-0-0_099077_2018-05-02_final
2018-07-01 10:33:42	ga_ls8c_ard_3-0-0_103069_2018-07-01_final
2018-08-13 10:19:07	ga_ls8c_ard_3-0-0_100078_2018-08-13_final
2018-08-28 09:31:35	ga_ls8c_ard_3-0-0_093067_2018-08-28_final
2018-10-01 09:22:13	ga_ls8c_ard_3-0-0_091074_2018-09-30_final
2018-11-20 09:10:03	ga_ls8c_ard_3-0-0_089074_2018-11-19_final
2018-12-20 09:27:33	ga_ls8c_ard_3-0-0_091087_2018-12-19_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-07-09 09:21:25	ga_ls8c_ard_3-1-0_090087_2019-07-08_final
2019-12-12 11:18:13	ga_ls8c_ard_3-1-0_110069_2019-12-12_final
2020-03-22 09:56:58	ga_ls8c_ard_3-1-0_097068_2020-03-22_final
2020-04-14 10:02:09	ga_ls8c_ard_3-2-1_098066_2020-04-14_final
2020-06-07 09:34:13	ga_ls8c_ard_3-1-0_092089_2020-06-07_final
2020-06-08 10:09:30	ga_ls8c_ard_3-1-0_099069_2020-06-08_final
2020-07-07 09:39:39	ga_ls8c_ard_3-1-0_094071_2020-07-07_final
2020-07-09 09:27:42	ga_ls8c_ard_3-1-0_092072_2020-07-08_final
2020-08-26 09:27:58	ga_ls8c_ard_3-1-0_092072_2020-08-25_final
2020-08-27 10:14:02	ga_ls8c_ard_3-1-0_099079_2020-08-27_final
2020-09-25 11:18:12	ga_ls8c_ard_3-1-0_110069_2020-09-25_final
2020-10-06 11:03:41	ga_ls8c_ard_3-1-0_107079_2020-10-06_final
2020-10-18 09:44:45	ga_ls8c_ard_3-1-0_095067_2020-10-18_final
2020-11-29 10:23:02	ga_ls8c_ard_3-1-0_101070_2020-11-29_final
2020-12-26 10:04:27	ga_ls8c_ard_3-2-0_098070_2020-12-26_final
2021-01-25 10:19:50	ga_ls8c_ard_3-2-0_100078_2021-01-25_final
2021-05-28 09:56:53	ga_ls8c_ard_3-2-0_097068_2021-05-28_final
2021-06-27 11:52:41	ga_ls8c_ard_3-2-0_115079_2021-06-27_final
2021-07-10 09:38:08	ga_ls8c_ard_3-2-0_094067_2021-07-10_final
2021-11-22 09:46:21	ga_ls8c_ard_3-2-0_095071_2021-11-22_final
2022-03-11 09:17:28	ga_ls8c_ard_3-2-1_090077_2022-03-10_final
2022-03-26 10:13:19	ga_ls8c_ard_3-2-1_099078_2022-03-26_final
2022-04-19 09:23:30	ga_ls8c_ard_3-2-1_091077_2022-04-18_final
2022-06-06 09:22:57	ga_ls8c_ard_3-2-1_091075_2022-06-05_final
2022-06-30 10:10:58	ga_ls8c_ard_3-2-1_099071_2022-06-30_final
2022-07-23 10:20:01	ga_ls8c_ard_3-2-1_100078_2022-07-23_final
2022-09-10 09:22:17	ga_ls8c_ard_3-2-1_091072_2022-09-09_final
2022-11-21 10:11:15	ga_ls8c_ard_3-2-1_099071_2022-11-21_final
2023-01-24 10:09:53	ga_ls8c_ard_3-2-1_099068_2023-01-24_final
2023-03-13 10:09:54	ga_ls8c_ard_3-2-1_099069_2023-03-13_final
2023-04-06 09:22:34	ga_ls8c_ard_3-2-1_091075_2023-04-05_final
2023-04-14 10:09:53	ga_ls8c_ard_3-2-1_099070_2023-04-14_final
2023-07-10 10:19:23	ga_ls8c_ard_3-2-1_100078_2023-07-10_final
2023-09-20 09:27:56	ga_ls8c_ard_3-2-1_092072_2023-09-19_final
2024-03-03 11:26:01	ga_ls8c_ard_3-2-1_111074_2024-03-03_final
2024-03-12 11:22:57	ga_ls8c_ard_3-2-1_110082_2024-03-12_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