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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

50 results

Time (local)	Label
2013-06-12 10:23:18	ga_ls8c_ard_3-0-0_100082_2013-06-12_final
2013-08-26 09:59:13	ga_ls8c_ard_3-0-0_097068_2013-08-26_final
2013-12-13 09:29:26	ga_ls8c_ard_3-0-0_092072_2013-12-12_final
2014-01-22 10:20:26	ga_ls8c_ard_3-0-0_100077_2014-01-22_final
2014-05-17 09:11:39	ga_ls8c_ard_3-0-0_089079_2014-05-16_final
2014-05-20 11:16:38	ga_ls8c_ard_3-0-0_110067_2014-05-20_final
2014-11-07 09:23:30	ga_ls8c_ard_3-0-0_091076_2014-11-06_final
2014-12-03 11:37:50	ga_ls8c_ard_3-0-0_113072_2014-12-03_final
2015-01-03 09:17:56	ga_ls8c_ard_3-1-0_090078_2015-01-02_final
2015-01-08 11:11:47	ga_ls8c_ard_3-0-0_109069_2015-01-08_final
2015-01-12 09:13:45	ga_ls8c_ard_3-0-0_089083_2015-01-11_final
2015-03-18 11:31:51	ga_ls8c_ard_3-0-0_112074_2015-03-18_final
2015-04-06 10:26:51	ga_ls8c_ard_3-0-0_101082_2015-04-06_final
2015-05-10 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-10_final
2016-01-02 11:18:25	ga_ls8c_ard_3-0-0_110070_2016-01-02_final
2016-07-30 11:07:57	ga_ls8c_ard_3-0-0_108075_2016-07-30_final
2016-09-10 10:09:33	ga_ls8c_ard_3-0-0_098083_2016-09-10_final
2016-10-09 09:39:32	ga_ls8c_ard_3-0-0_093085_2016-10-09_final
2017-04-04 10:18:51	ga_ls8c_ard_3-0-0_100077_2017-04-04_final
2017-09-17 09:40:21	ga_ls8c_ard_3-0-0_094072_2017-09-17_final
2017-12-27 09:56:57	ga_ls8c_ard_3-0-0_097067_2017-12-27_final
2018-03-07 09:24:55	ga_ls8c_ard_3-0-0_091081_2018-03-06_final
2018-08-12 11:13:56	ga_ls8c_ard_3-0-0_109076_2018-08-12_final
2018-08-19 11:19:22	ga_ls8c_ard_3-0-0_110074_2018-08-19_final
2018-09-30 10:19:26	ga_ls8c_ard_3-0-0_100078_2018-09-30_final
2018-12-21 11:41:43	ga_ls8c_ard_3-0-0_114067_2018-12-21_final
2019-03-31 09:39:22	ga_ls8c_ard_3-1-0_094071_2019-03-31_final
2019-04-22 10:45:26	ga_ls8c_ard_3-0-0_104082_2019-04-22_final
2019-06-21 09:34:30	ga_ls8c_ard_3-1-0_092089_2019-06-21_final
2019-08-19 09:10:16	ga_ls8c_ard_3-1-0_089074_2019-08-18_final
2020-02-19 09:56:47	ga_ls8c_ard_3-1-0_097067_2020-02-19_final
2020-03-09 10:33:10	ga_ls8c_ard_3-1-0_102081_2020-03-09_final
2020-05-17 09:11:08	ga_ls8c_ard_3-1-0_089078_2020-05-16_final
2020-05-23 10:12:58	ga_ls8c_ard_3-1-0_099078_2020-05-23_final
2020-07-07 09:39:39	ga_ls8c_ard_3-1-0_094071_2020-07-07_final
2020-07-10 10:10:58	ga_ls8c_ard_3-1-0_099072_2020-07-10_final
2020-07-26 10:10:39	ga_ls8c_ard_3-1-0_099071_2020-07-26_final
2021-03-13 11:13:12	ga_ls8c_ard_3-2-0_109073_2021-03-13_final
2021-03-17 09:09:57	ga_ls8c_ard_3-2-0_089074_2021-03-16_final
2021-04-30 11:13:41	ga_ls8c_ard_3-2-0_109075_2021-04-30_final
2021-08-15 09:17:39	ga_ls8c_ard_3-2-0_090077_2021-08-14_final
2021-08-19 10:29:02	ga_ls8c_ard_3-2-0_102070_2021-08-19_final
2022-02-10 11:24:12	ga_ls8c_ard_3-2-1_111069_2022-02-10_final
2022-02-23 09:20:43	ga_ls8c_ard_3-2-1_090085_2022-02-22_final
2022-08-14 11:20:01	ga_ls8c_ard_3-2-1_110073_2022-08-14_final
2022-08-29 10:39:58	ga_ls8c_ard_3-2-1_103081_2022-08-29_final
2023-10-01 10:49:32	ga_ls8c_ard_3-2-1_105075_2023-10-01_final
2023-10-06 11:05:40	ga_ls8c_ard_3-2-1_108069_2023-10-06_final
2023-10-13 11:13:54	ga_ls8c_ard_3-2-1_109074_2023-10-13_final
2024-02-03 10:16:59	ga_ls8c_ard_3-2-1_100071_2024-02-03_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