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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

45 results

Time (local)	Label
2013-12-29 11:06:58	ga_ls8c_ard_3-0-0_108069_2013-12-29_final
2014-06-24 10:13:14	ga_ls8c_ard_3-0-0_099078_2014-06-24_final
2014-12-07 09:34:11	ga_ls8c_ard_3-0-0_093072_2014-12-07_final
2015-01-11 10:05:00	ga_ls8c_ard_3-0-0_098072_2015-01-11_final
2015-10-21 09:44:28	ga_ls8c_ard_3-0-0_095067_2015-10-21_final
2016-02-07 09:16:43	ga_ls8c_ard_3-0-0_090075_2016-02-06_final
2016-02-23 10:52:41	ga_ls8c_ard_3-0-0_106068_2016-02-23_final
2016-03-15 11:11:34	ga_ls8c_ard_3-0-0_109069_2016-03-15_final
2016-04-05 09:50:14	ga_ls8c_ard_3-0-0_096067_2016-04-05_final
2016-09-05 09:52:36	ga_ls8c_ard_3-0-0_095087_2016-09-05_final
2016-12-26 11:23:32	ga_ls8c_ard_3-0-0_111067_2016-12-26_final
2017-03-06 09:10:20	ga_ls8c_ard_3-0-0_089075_2017-03-05_final
2017-09-05 09:17:12	ga_ls8c_ard_3-0-0_090076_2017-09-04_final
2017-10-10 09:44:41	ga_ls8c_ard_3-0-0_095067_2017-10-10_final
2018-02-15 11:23:06	ga_ls8c_ard_3-0-0_111067_2018-02-15_final
2018-02-22 11:29:38	ga_ls8c_ard_3-0-0_112068_2018-02-22_final
2018-06-29 09:09:33	ga_ls8c_ard_3-0-0_089075_2018-06-28_final
2018-12-22 09:11:36	ga_ls8c_ard_3-0-0_089078_2018-12-21_final
2019-02-19 10:32:59	ga_ls8c_ard_3-0-0_102081_2019-02-19_final
2019-03-19 10:52:23	ga_ls8c_ard_3-1-0_106068_2019-03-19_final
2019-04-13 10:49:17	ga_ls8c_ard_3-1-0_105076_2019-04-13_final
2019-05-30 10:03:04	ga_ls8c_ard_3-0-0_098068_2019-05-30_final
2020-03-01 09:39:47	ga_ls8c_ard_3-1-0_094071_2020-03-01_final
2020-04-02 11:19:35	ga_ls8c_ard_3-1-0_110074_2020-04-02_final
2020-07-11 10:58:13	ga_ls8c_ard_3-1-0_106082_2020-07-11_final
2021-01-06 09:44:39	ga_ls8c_ard_3-2-0_095067_2021-01-06_final
2021-02-02 11:05:41	ga_ls8c_ard_3-2-0_108069_2021-02-02_final
2021-02-23 09:44:26	ga_ls8c_ard_3-2-0_095067_2021-02-23_final
2021-04-13 10:32:58	ga_ls8c_ard_3-2-0_102081_2021-04-13_final
2021-12-04 10:09:53	ga_ls8c_ard_3-2-0_099068_2021-12-04_final
2021-12-30 10:50:03	ga_ls8c_ard_3-2-1_105076_2021-12-30_final
2022-03-27 10:52:34	ga_ls8c_ard_3-2-1_106068_2022-03-27_final
2022-05-23 10:49:21	ga_ls8c_ard_3-2-1_105075_2022-05-23_final
2022-08-07 11:15:00	ga_ls8c_ard_3-2-1_109076_2022-08-07_final
2022-09-22 11:24:21	ga_ls8c_ard_3-2-1_111068_2022-09-22_final
2022-12-20 11:21:07	ga_ls8c_ard_3-2-1_110076_2022-12-20_final
2023-01-15 10:18:25	ga_ls8c_ard_3-2-1_100074_2023-01-15_final
2023-05-02 09:56:38	ga_ls8c_ard_3-2-1_097068_2023-05-02_final
2023-05-10 09:10:39	ga_ls8c_ard_3-2-1_089077_2023-05-09_final
2023-07-13 09:10:13	ga_ls8c_ard_3-2-1_089075_2023-07-12_final
2023-10-18 09:52:44	ga_ls8c_ard_3-2-1_096072_2023-10-18_final
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_final
2024-01-24 11:19:33	ga_ls8c_ard_3-2-1_110073_2024-01-24_nrt
2024-02-13 09:16:47	ga_ls8c_ard_3-2-1_090075_2024-02-12_final
2024-03-03 11:25:38	ga_ls8c_ard_3-2-1_111073_2024-03-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years