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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

55 results

Time (local)	Label
2013-11-20 11:05:23	ga_ls8c_ard_3-0-0_107080_2013-11-20_final
2014-05-13 09:34:25	ga_ls8c_ard_3-0-0_093074_2014-05-13_final
2014-05-16 11:46:57	ga_ls8c_ard_3-0-0_114081_2014-05-16_final
2014-08-04 11:41:50	ga_ls8c_ard_3-0-0_114067_2014-08-04_final
2014-08-24 09:38:18	ga_ls8c_ard_3-0-0_094067_2014-08-24_final
2014-10-25 11:30:29	ga_ls8c_ard_3-0-0_112069_2014-10-25_final
2014-11-16 10:58:59	ga_ls8c_ard_3-0-0_106083_2014-11-16_final
2015-02-20 09:17:19	ga_ls8c_ard_3-0-0_090077_2015-02-19_final
2015-04-24 10:15:39	ga_ls8c_ard_3-0-0_099085_2015-04-24_final
2015-09-10 11:35:45	ga_ls8c_ard_3-0-0_112083_2015-09-10_final
2015-10-12 09:50:36	ga_ls8c_ard_3-0-0_096067_2015-10-12_final
2015-11-02 11:52:55	ga_ls8c_ard_3-0-0_115079_2015-11-02_final
2015-12-31 09:52:18	ga_ls8c_ard_3-0-0_096071_2015-12-31_final
2016-07-10 09:57:17	ga_ls8c_ard_3-0-0_096084_2016-07-10_final
2016-09-21 09:50:38	ga_ls8c_ard_3-0-0_095082_2016-09-21_final
2016-11-23 10:41:34	ga_ls8c_ard_3-0-0_104070_2016-11-23_final
2017-06-04 11:22:55	ga_ls8c_ard_3-0-0_111067_2017-06-04_final
2017-06-06 09:31:41	ga_ls8c_ard_3-0-0_093067_2017-06-06_final
2017-07-09 11:57:35	ga_ls8c_ard_3-0-0_116076_2017-07-09_final
2017-09-30 09:15:56	ga_ls8c_ard_3-0-0_089088_2017-09-29_final
2017-10-16 09:16:00	ga_ls8c_ard_3-0-0_089088_2017-10-15_final
2017-12-29 09:51:22	ga_ls8c_ard_3-0-0_095084_2017-12-29_final
2018-02-22 11:29:14	ga_ls8c_ard_3-0-0_112067_2018-02-22_final
2018-04-30 10:21:52	ga_ls8c_ard_3-0-0_101070_2018-04-30_final
2018-06-09 09:36:03	ga_ls8c_ard_3-0-0_093080_2018-06-09_final
2019-02-07 11:41:36	ga_ls8c_ard_3-0-0_114067_2019-02-07_final
2019-03-18 10:08:43	ga_ls8c_ard_3-1-0_099067_2019-03-18_final
2019-08-16 11:57:55	ga_ls8c_ard_3-1-0_116076_2019-08-16_final
2019-10-11 09:29:27	ga_ls8c_ard_3-1-0_092075_2019-10-10_final
2019-10-20 11:02:33	ga_ls8c_ard_3-1-0_107076_2019-10-20_final
2019-11-22 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-11-22_final
2020-01-13 09:38:25	ga_ls8c_ard_3-1-0_094067_2020-01-13_final
2020-03-29 11:41:34	ga_ls8c_ard_3-1-0_114067_2020-03-29_final
2020-08-12 09:21:52	ga_ls8c_ard_3-1-0_090088_2020-08-11_final
2020-11-21 09:34:21	ga_ls8c_ard_3-1-0_093072_2020-11-21_final
2020-12-12 09:50:56	ga_ls8c_ard_3-1-0_096067_2020-12-12_final
2021-01-12 09:16:42	ga_ls8c_ard_3-2-0_089090_2021-01-11_final
2021-03-01 09:10:30	ga_ls8c_ard_3-2-0_089075_2021-02-28_final
2021-05-11 09:16:14	ga_ls8c_ard_3-2-0_090075_2021-05-10_final
2021-07-31 09:57:13	ga_ls8c_ard_3-2-0_097068_2021-07-31_final
2021-08-09 11:30:47	ga_ls8c_ard_3-2-0_112070_2021-08-09_final
2021-09-01 09:57:24	ga_ls8c_ard_3-2-0_097068_2021-09-01_final
2021-09-03 11:24:20	ga_ls8c_ard_3-2-0_111069_2021-09-03_final
2021-09-19 09:45:54	ga_ls8c_ard_3-2-0_095070_2021-09-19_final
2021-10-12 11:31:53	ga_ls8c_ard_3-2-0_112072_2021-10-12_final
2021-11-13 11:31:50	ga_ls8c_ard_3-2-0_112072_2021-11-13_final
2021-12-01 11:18:16	ga_ls8c_ard_3-2-0_110069_2021-12-01_final
2022-01-05 10:09:46	ga_ls8c_ard_3-2-1_099068_2022-01-05_final
2022-11-27 09:35:00	ga_ls8c_ard_3-2-1_093073_2022-11-27_final
2023-01-06 10:23:06	ga_ls8c_ard_3-2-1_101070_2023-01-06_final
2023-03-06 10:09:45	ga_ls8c_ard_3-2-1_098084_2023-03-06_final
2023-04-18 11:29:36	ga_ls8c_ard_3-2-1_111084_2023-04-18_final
2023-09-28 11:57:30	ga_ls8c_ard_3-2-1_116075_2023-09-28_final
2023-09-28 11:57:54	ga_ls8c_ard_3-2-1_116076_2023-09-28_final
2024-01-12 09:17:37	ga_ls8c_ard_3-2-1_090077_2024-01-11_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