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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
2013-06-21 11:53:07	ga_ls8c_ard_3-0-0_115075_2013-06-21_final
2013-10-01 11:16:00	ga_ls8c_ard_3-0-0_109075_2013-10-01_final
2013-11-13 09:18:49	ga_ls8c_ard_3-0-0_090076_2013-11-12_final
2013-11-30 10:01:11	ga_ls8c_ard_3-0-0_097074_2013-11-30_final
2013-12-10 10:41:26	ga_ls8c_ard_3-0-0_103082_2013-12-10_final
2013-12-14 10:15:04	ga_ls8c_ard_3-0-0_099078_2013-12-14_final
2014-02-03 09:08:10	ga_ls8c_ard_3-0-0_088082_2014-02-02_final
2014-03-26 11:14:25	ga_ls8c_ard_3-0-0_109075_2014-03-26_final
2014-05-30 10:18:53	ga_ls8c_ard_3-0-0_100077_2014-05-30_final
2015-01-03 09:17:32	ga_ls8c_ard_3-0-0_090077_2015-01-02_final
2015-05-11 10:51:51	ga_ls8c_ard_3-0-0_106068_2015-05-11_final
2015-06-12 10:51:39	ga_ls8c_ard_3-0-0_106067_2015-06-12_final
2015-11-26 11:02:43	ga_ls8c_ard_3-0-0_107077_2015-11-26_final
2016-01-01 10:39:33	ga_ls8c_ard_3-0-0_103081_2016-01-01_final
2016-05-22 09:10:55	ga_ls8c_ard_3-0-0_089077_2016-05-21_final
2016-06-28 09:28:29	ga_ls8c_ard_3-0-0_092074_2016-06-27_final
2017-02-08 10:13:30	ga_ls8c_ard_3-0-0_099078_2017-02-08_final
2017-05-06 10:18:37	ga_ls8c_ard_3-0-0_100077_2017-05-06_final
2017-11-02 11:30:10	ga_ls8c_ard_3-0-0_112068_2017-11-02_final
2017-11-19 10:40:04	ga_ls8c_ard_3-0-0_103082_2017-11-19_final
2017-12-03 09:10:40	ga_ls8c_ard_3-0-0_089075_2017-12-02_final
2018-01-25 09:28:37	ga_ls8c_ard_3-1-0_092074_2018-01-24_final
2018-02-03 11:04:49	ga_ls8c_ard_3-0-0_107083_2018-02-03_final
2018-03-08 10:04:11	ga_ls8c_ard_3-1-0_098071_2018-03-08_final
2018-09-01 09:11:40	ga_ls8c_ard_3-0-0_089079_2018-08-31_final
2019-03-31 11:19:27	ga_ls8c_ard_3-1-0_110074_2019-03-31_final
2019-04-20 10:55:01	ga_ls8c_ard_3-0-0_106075_2019-04-20_final
2020-05-07 10:08:08	ga_ls8c_ard_3-2-1_099066_2020-05-07_final
2020-07-04 10:48:48	ga_ls8c_ard_3-1-0_105074_2020-07-04_final
2020-11-28 09:40:10	ga_ls8c_ard_3-1-0_094071_2020-11-28_final
2021-04-28 09:45:11	ga_ls8c_ard_3-2-0_095070_2021-04-28_final
2021-05-27 10:55:41	ga_ls8c_ard_3-2-0_106076_2021-05-27_final
2021-06-13 09:56:36	ga_ls8c_ard_3-2-0_097067_2021-06-13_final
2021-12-27 10:19:59	ga_ls8c_ard_3-2-1_100078_2021-12-27_final
2022-03-01 10:16:55	ga_ls8c_ard_3-2-1_100071_2022-03-01_final
2022-03-17 10:19:13	ga_ls8c_ard_3-2-1_100077_2022-03-17_final
2022-04-12 09:21:19	ga_ls8c_ard_3-2-1_090087_2022-04-11_final
2022-04-21 09:11:32	ga_ls8c_ard_3-2-1_089078_2022-04-20_final
2022-05-15 09:56:42	ga_ls8c_ard_3-2-1_097067_2022-05-15_final
2022-06-07 10:02:38	ga_ls8c_ard_3-2-1_098066_2022-06-07_final
2022-06-09 09:58:16	ga_ls8c_ard_3-2-1_096086_2022-06-09_final
2022-11-05 10:14:09	ga_ls8c_ard_3-2-1_099078_2022-11-05_final
2022-11-26 10:34:13	ga_ls8c_ard_3-2-1_102082_2022-11-26_final
2023-01-14 11:12:04	ga_ls8c_ard_3-2-1_109069_2023-01-14_final
2023-02-21 10:34:24	ga_ls8c_ard_3-2-1_103068_2023-02-21_final
2023-05-02 09:56:14	ga_ls8c_ard_3-2-1_097067_2023-05-02_final
2024-01-23 10:39:06	ga_ls8c_ard_3-2-1_103080_2024-01-23_final
2024-01-23 10:39:06	ga_ls8c_ard_3-2-1_103080_2024-01-23_nrt
2024-04-07 10:19:18	ga_ls8c_ard_3-2-1_100078_2024-04-07_final
2024-04-07 10:19:18	ga_ls8c_ard_3-2-1_100078_2024-04-07_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years