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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

51 results

Time (local)	Label
2013-03-26 09:35:18	ga_ls8c_ard_3-0-0_093072_2013-03-26_final
2013-08-17 11:49:26	ga_ls8c_ard_3-0-0_114081_2013-08-17_final
2014-01-25 10:52:55	ga_ls8c_ard_3-0-0_105081_2014-01-25_final
2014-03-15 09:51:06	ga_ls8c_ard_3-0-0_096067_2014-03-15_final
2014-05-04 11:19:59	ga_ls8c_ard_3-0-0_110075_2014-05-04_final
2014-05-14 10:19:16	ga_ls8c_ard_3-0-0_100078_2014-05-14_final
2014-06-02 09:10:56	ga_ls8c_ard_3-0-0_089077_2014-06-01_final
2014-08-22 09:50:40	ga_ls8c_ard_3-0-0_096067_2014-08-22_final
2015-08-02 09:44:02	ga_ls8c_ard_3-0-0_095067_2015-08-02_final
2015-08-02 11:28:06	ga_ls8c_ard_3-0-0_111080_2015-08-02_final
2015-12-08 09:44:32	ga_ls8c_ard_3-0-0_095067_2015-12-08_final
2015-12-31 09:50:42	ga_ls8c_ard_3-0-0_096067_2015-12-31_final
2016-03-18 11:41:38	ga_ls8c_ard_3-0-0_114067_2016-03-18_final
2016-07-10 11:29:24	ga_ls8c_ard_3-0-0_112067_2016-07-10_final
2016-10-16 11:18:14	ga_ls8c_ard_3-0-0_110069_2016-10-16_final
2016-11-13 10:06:52	ga_ls8c_ard_3-0-0_098076_2016-11-13_final
2017-05-30 09:27:27	ga_ls8c_ard_3-0-0_092072_2017-05-29_final
2017-07-08 09:39:50	ga_ls8c_ard_3-0-0_093087_2017-07-08_final
2017-08-25 09:40:07	ga_ls8c_ard_3-0-0_093087_2017-08-25_final
2017-12-28 09:06:31	ga_ls8c_ard_3-0-0_088080_2017-12-27_final
2017-12-28 10:46:11	ga_ls8c_ard_3-0-0_104082_2017-12-28_final
2018-05-12 09:10:46	ga_ls8c_ard_3-0-0_089078_2018-05-11_final
2018-07-05 10:09:49	ga_ls8c_ard_3-0-0_099071_2018-07-05_final
2018-07-13 09:28:01	ga_ls8c_ard_3-0-0_091090_2018-07-12_final
2018-09-27 09:44:07	ga_ls8c_ard_3-0-0_095067_2018-09-27_final
2018-11-25 09:27:48	ga_ls8c_ard_3-0-0_092072_2018-11-24_final
2019-01-30 10:58:33	ga_ls8c_ard_3-0-0_106083_2019-01-30_final
2019-02-09 09:50:21	ga_ls8c_ard_3-0-0_096067_2019-02-09_final
2019-05-21 10:09:33	ga_ls8c_ard_3-0-0_099069_2019-05-21_final
2019-05-25 09:47:40	ga_ls8c_ard_3-0-0_095076_2019-05-25_final
2019-09-01 10:19:30	ga_ls8c_ard_3-1-0_100077_2019-09-01_final
2019-11-14 10:56:20	ga_ls8c_ard_3-1-0_106076_2019-11-14_final
2019-12-19 09:44:41	ga_ls8c_ard_3-2-0_095067_2019-12-19_final
2019-12-30 09:28:06	ga_ls8c_ard_3-1-0_092072_2019-12-29_final
2020-02-08 10:20:33	ga_ls8c_ard_3-1-0_100080_2020-02-08_final
2020-02-10 10:04:12	ga_ls8c_ard_3-1-0_098070_2020-02-10_final
2020-06-19 09:50:16	ga_ls8c_ard_3-1-0_096067_2020-06-19_final
2020-09-04 09:29:03	ga_ls8c_ard_3-1-0_091090_2020-09-03_final
2020-12-27 09:16:25	ga_ls8c_ard_3-2-0_089089_2020-12-26_final
2021-08-01 09:06:47	ga_ls8c_ard_3-2-0_088081_2021-07-31_final
2021-08-08 10:49:30	ga_ls8c_ard_3-2-0_105075_2021-08-08_final
2022-01-28 10:20:38	ga_ls8c_ard_3-2-1_100080_2022-01-28_final
2022-04-21 09:15:56	ga_ls8c_ard_3-2-1_089089_2022-04-20_final
2022-06-13 09:28:25	ga_ls8c_ard_3-2-1_092073_2022-06-12_final
2022-08-16 09:28:47	ga_ls8c_ard_3-2-1_092073_2022-08-15_final
2023-02-01 09:23:16	ga_ls8c_ard_3-2-1_091075_2023-01-31_final
2023-06-02 10:54:53	ga_ls8c_ard_3-2-1_106075_2023-06-02_final
2023-06-25 09:28:23	ga_ls8c_ard_3-2-1_091090_2023-06-24_final
2023-07-05 09:58:01	ga_ls8c_ard_3-2-1_097071_2023-07-05_final
2023-12-12 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-12-12_final
2023-12-28 11:42:13	ga_ls8c_ard_3-2-1_113083_2023-12-28_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