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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

73 results

Time (local)	Label
2013-05-04 10:15:19	ga_ls8c_ard_3-0-0_099078_2013-05-04_final
2013-12-27 09:39:40	ga_ls8c_ard_3-0-0_094067_2013-12-27_final
2014-04-22 09:22:10	ga_ls8c_ard_3-1-0_090089_2014-04-21_final
2014-07-23 09:38:06	ga_ls8c_ard_3-0-0_094067_2014-07-23_final
2014-09-25 09:40:18	ga_ls8c_ard_3-0-0_094072_2014-09-25_final
2014-10-31 09:21:39	ga_ls8c_ard_3-0-0_090087_2014-10-30_final
2014-12-21 09:45:44	ga_ls8c_ard_3-0-0_095070_2014-12-21_final
2015-04-02 09:09:55	ga_ls8c_ard_3-0-0_089075_2015-04-01_final
2015-04-10 11:41:00	ga_ls8c_ard_3-0-0_113082_2015-04-10_final
2015-05-14 09:51:24	ga_ls8c_ard_3-0-0_095087_2015-05-14_final
2015-08-15 10:52:06	ga_ls8c_ard_3-0-0_106067_2015-08-15_final
2015-09-16 09:17:02	ga_ls8c_ard_3-0-0_090076_2015-09-15_final
2016-01-13 09:22:10	ga_ls8c_ard_3-0-0_091073_2016-01-12_final
2016-01-20 09:27:57	ga_ls8c_ard_3-0-0_092072_2016-01-19_final
2016-01-20 09:28:45	ga_ls8c_ard_3-0-0_092074_2016-01-19_final
2016-02-28 09:33:56	ga_ls8c_ard_3-0-0_093072_2016-02-28_final
2016-03-01 09:22:46	ga_ls8c_ard_3-0-0_091075_2016-02-29_final
2016-04-16 09:33:37	ga_ls8c_ard_3-0-0_093072_2016-04-16_final
2016-05-12 10:13:03	ga_ls8c_ard_3-0-0_099078_2016-05-12_final
2016-06-26 09:38:02	ga_ls8c_ard_3-0-0_094067_2016-06-26_final
2016-11-15 11:31:48	ga_ls8c_ard_3-0-0_112072_2016-11-15_final
2017-02-16 09:21:37	ga_ls8c_ard_3-0-0_091072_2017-02-15_final
2017-04-26 09:37:34	ga_ls8c_ard_3-0-0_094067_2017-04-26_final
2017-04-28 09:27:58	ga_ls8c_ard_3-0-0_092074_2017-04-27_final
2017-05-03 11:22:58	ga_ls8c_ard_3-0-0_111068_2017-05-03_final
2017-06-16 10:09:14	ga_ls8c_ard_3-0-0_099068_2017-06-16_final
2017-10-01 11:30:06	ga_ls8c_ard_3-0-0_112068_2017-10-01_final
2017-10-24 10:03:51	ga_ls8c_ard_3-0-0_097084_2017-10-24_final
2017-12-06 09:38:22	ga_ls8c_ard_3-0-0_094067_2017-12-06_final
2017-12-31 11:15:05	ga_ls8c_ard_3-0-0_109077_2017-12-31_final
2018-02-07 10:35:42	ga_ls8c_ard_3-0-0_103072_2018-02-07_final
2018-06-07 09:44:24	ga_ls8c_ard_3-0-0_095070_2018-06-07_final
2018-07-02 09:38:53	ga_ls8c_ard_3-0-0_094071_2018-07-02_final
2018-09-06 09:28:14	ga_ls8c_ard_3-0-0_092074_2018-09-05_final
2018-10-17 09:19:56	ga_ls8c_ard_3-0-0_091068_2018-10-16_final
2019-01-26 09:38:01	ga_ls8c_ard_3-0-0_094067_2019-01-26_final
2019-02-11 11:17:40	ga_ls8c_ard_3-0-0_110069_2019-02-11_final
2019-03-04 11:40:06	ga_ls8c_ard_3-0-0_113079_2019-03-04_final
2019-03-17 09:28:15	ga_ls8c_ard_3-1-0_092074_2019-03-16_final
2019-07-23 09:28:39	ga_ls8c_ard_3-1-0_092074_2019-07-22_final
2019-08-19 09:10:40	ga_ls8c_ard_3-1-0_089075_2019-08-18_final
2019-12-19 11:25:10	ga_ls8c_ard_3-2-0_111071_2019-12-19_final
2019-12-28 09:38:28	ga_ls8c_ard_3-1-0_094067_2019-12-28_final
2020-01-24 09:20:13	ga_ls8c_ard_3-1-0_091068_2020-01-23_final
2020-01-29 09:38:20	ga_ls8c_ard_3-1-0_094067_2020-01-29_final
2020-02-01 10:10:25	ga_ls8c_ard_3-1-0_099070_2020-02-01_final
2020-05-08 09:16:29	ga_ls8c_ard_3-1-0_090076_2020-05-07_final
2020-05-15 09:21:06	ga_ls8c_ard_3-1-0_091072_2020-05-14_final
2020-09-04 09:21:52	ga_ls8c_ard_3-1-0_091072_2020-09-03_final
2020-10-06 11:03:41	ga_ls8c_ard_3-1-0_107079_2020-10-06_final
2020-10-24 09:14:27	ga_ls8c_ard_3-1-0_089084_2020-10-23_final
2020-12-30 09:38:31	ga_ls8c_ard_3-2-0_094067_2020-12-30_final
2021-03-04 09:38:11	ga_ls8c_ard_3-2-0_094067_2021-03-04_final
2021-03-19 10:34:28	ga_ls8c_ard_3-2-0_103069_2021-03-19_final
2021-05-02 09:22:49	ga_ls8c_ard_3-2-0_091076_2021-05-01_final
2021-07-20 11:57:20	ga_ls8c_ard_3-2-0_116075_2021-07-20_final
2022-01-02 11:18:09	ga_ls8c_ard_3-2-1_110069_2022-01-02_final
2022-01-11 09:34:17	ga_ls8c_ard_3-2-1_093072_2022-01-11_final
2022-01-22 09:20:04	ga_ls8c_ard_3-2-1_090083_2022-01-21_final
2022-02-22 10:09:57	ga_ls8c_ard_3-2-1_099069_2022-02-22_final
2022-04-12 09:16:55	ga_ls8c_ard_3-2-1_090076_2022-04-11_final
2022-04-17 09:33:53	ga_ls8c_ard_3-2-1_093072_2022-04-17_final
2022-08-27 09:16:15	ga_ls8c_ard_3-2-1_089088_2022-08-26_final
2022-10-17 11:18:27	ga_ls8c_ard_3-2-1_110069_2022-10-17_final
2022-10-21 09:21:40	ga_ls8c_ard_3-2-1_090086_2022-10-20_final
2023-03-01 11:24:09	ga_ls8c_ard_3-2-1_111069_2023-03-01_final
2023-06-09 09:25:53	ga_ls8c_ard_3-2-1_091084_2023-06-08_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-11-25 09:16:57	ga_ls8c_ard_3-2-1_090075_2023-11-24_final
2023-12-29 09:07:42	ga_ls8c_ard_3-2-1_088083_2023-12-28_final
2024-01-03 09:22:11	ga_ls8c_ard_3-2-1_091073_2024-01-02_final
2024-01-21 10:49:53	ga_ls8c_ard_3-2-1_105076_2024-01-21_final
2024-04-24 11:04:25	ga_ls8c_ard_3-2-1_107083_2024-04-24_nrt

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