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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

65 results

Time (local)	Label
2013-05-03 11:09:45	ga_ls8c_ard_3-0-0_108075_2013-05-03_final
2013-09-08 09:35:28	ga_ls8c_ard_3-0-0_092086_2013-09-08_final
2013-12-07 10:04:34	ga_ls8c_ard_3-0-0_098067_2013-12-07_final
2013-12-09 09:52:12	ga_ls8c_ard_3-0-0_096067_2013-12-09_final
2014-02-14 10:23:56	ga_ls8c_ard_3-0-0_101071_2014-02-14_final
2014-09-20 09:27:47	ga_ls8c_ard_3-0-0_091087_2014-09-19_final
2015-04-14 09:31:26	ga_ls8c_ard_3-0-0_093067_2015-04-14_final
2015-07-07 09:09:59	ga_ls8c_ard_3-0-0_089075_2015-07-06_final
2015-07-10 09:45:19	ga_ls8c_ard_3-0-0_094086_2015-07-10_final
2015-08-18 11:25:25	ga_ls8c_ard_3-0-0_111073_2015-08-18_final
2015-12-08 11:23:25	ga_ls8c_ard_3-0-0_111067_2015-12-08_final
2015-12-12 09:21:48	ga_ls8c_ard_3-0-0_091072_2015-12-11_final
2016-01-04 09:29:09	ga_ls8c_ard_3-0-0_092075_2016-01-03_final
2016-02-10 09:50:47	ga_ls8c_ard_3-0-0_095083_2016-02-10_final
2016-02-15 10:09:40	ga_ls8c_ard_3-0-0_098084_2016-02-15_final
2016-04-28 10:01:31	ga_ls8c_ard_3-0-0_097080_2016-04-28_final
2016-08-02 11:35:40	ga_ls8c_ard_3-0-0_113067_2016-08-02_final
2016-08-19 10:43:19	ga_ls8c_ard_3-0-0_104075_2016-08-19_final
2016-11-02 10:27:49	ga_ls8c_ard_3-0-0_101082_2016-11-02_final
2017-01-12 10:30:14	ga_ls8c_ard_3-0-0_102073_2017-01-12_final
2017-01-31 09:22:08	ga_ls8c_ard_3-0-0_091073_2017-01-30_final
2017-07-03 09:21:40	ga_ls8c_ard_3-0-0_090088_2017-07-02_final
2017-12-08 11:07:41	ga_ls8c_ard_3-0-0_108074_2017-12-08_final
2017-12-16 11:57:34	ga_ls8c_ard_3-0-0_116075_2017-12-16_final
2018-04-10 10:48:22	ga_ls8c_ard_3-0-0_105074_2018-04-10_final
2018-04-18 09:57:15	ga_ls8c_ard_3-0-0_097070_2018-04-18_final
2018-07-31 09:09:24	ga_ls8c_ard_3-0-0_089074_2018-07-30_final
2018-08-14 09:21:30	ga_ls8c_ard_3-0-0_091073_2018-08-13_final
2018-10-21 10:35:43	ga_ls8c_ard_3-0-0_103072_2018-10-21_final
2019-04-16 11:19:46	ga_ls8c_ard_3-1-0_110075_2019-04-16_final
2019-05-09 11:24:00	ga_ls8c_ard_3-0-0_111070_2019-05-09_final
2019-05-20 09:33:28	ga_ls8c_ard_3-0-0_092087_2019-05-20_final
2019-05-29 09:27:22	ga_ls8c_ard_3-0-0_091087_2019-05-28_final
2019-06-15 10:09:33	ga_ls8c_ard_3-1-0_098084_2019-06-15_final
2019-09-30 11:29:14	ga_ls8c_ard_3-1-0_111081_2019-09-30_final
2019-11-02 10:34:03	ga_ls8c_ard_3-1-0_102082_2019-11-02_final
2019-11-12 11:08:18	ga_ls8c_ard_3-1-0_108075_2019-11-12_final
2019-12-03 11:24:48	ga_ls8c_ard_3-1-0_111070_2019-12-03_final
2020-02-24 10:19:42	ga_ls8c_ard_3-1-0_100078_2020-02-24_final
2020-05-04 09:44:51	ga_ls8c_ard_3-1-0_094085_2020-05-04_final
2020-05-21 10:27:19	ga_ls8c_ard_3-1-0_101083_2020-05-21_final
2020-08-16 10:28:53	ga_ls8c_ard_3-1-0_102070_2020-08-16_final
2020-10-30 10:11:03	ga_ls8c_ard_3-1-0_099071_2020-10-30_final
2020-11-15 10:14:12	ga_ls8c_ard_3-1-0_099079_2020-11-15_final
2020-12-05 09:45:58	ga_ls8c_ard_3-1-0_095070_2020-12-05_final
2020-12-26 11:47:44	ga_ls8c_ard_3-2-0_114081_2020-12-26_final
2021-03-02 11:36:14	ga_ls8c_ard_3-2-0_112084_2021-03-02_final
2021-03-23 10:09:44	ga_ls8c_ard_3-2-0_099069_2021-03-23_final
2021-05-27 10:52:06	ga_ls8c_ard_3-2-0_106067_2021-05-27_final
2021-05-27 10:55:17	ga_ls8c_ard_3-2-0_106075_2021-05-27_final
2021-06-27 10:09:01	ga_ls8c_ard_3-2-0_099067_2021-06-27_final
2021-10-15 10:28:18	ga_ls8c_ard_3-2-0_101083_2021-10-15_final
2022-04-19 11:01:35	ga_ls8c_ard_3-2-1_107075_2022-04-19_final
2022-05-19 09:33:35	ga_ls8c_ard_3-2-1_093071_2022-05-19_final
2022-09-04 11:42:11	ga_ls8c_ard_3-2-1_113082_2022-09-04_final
2022-09-21 10:46:40	ga_ls8c_ard_3-2-1_104082_2022-09-21_final
2022-12-26 09:07:08	ga_ls8c_ard_3-2-1_088081_2022-12-25_final
2023-01-21 09:40:09	ga_ls8c_ard_3-2-1_094071_2023-01-21_final
2023-01-23 11:07:53	ga_ls8c_ard_3-2-1_108074_2023-01-23_final
2023-04-17 10:45:33	ga_ls8c_ard_3-2-1_104082_2023-04-17_final
2023-05-23 10:19:00	ga_ls8c_ard_3-2-1_100078_2023-05-23_final
2023-06-11 09:11:33	ga_ls8c_ard_3-2-1_089079_2023-06-10_final
2023-06-18 09:22:09	ga_ls8c_ard_3-2-1_090090_2023-06-17_final
2023-08-12 09:28:44	ga_ls8c_ard_3-2-1_091090_2023-08-11_final
2024-02-13 09:16:47	ga_ls8c_ard_3-2-1_090075_2024-02-12_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years