Search ga_ls8c_ard_3 whole collection

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

48 results

Time (local)	Label
2013-06-21 10:15:02	ga_ls8c_ard_3-0-0_099077_2013-06-21_final
2014-03-24 09:44:45	ga_ls8c_ard_3-0-0_095067_2014-03-24_final
2014-04-17 10:34:10	ga_ls8c_ard_3-0-0_103068_2014-04-17_final
2014-08-16 10:33:19	ga_ls8c_ard_3-0-0_102081_2014-08-16_final
2014-10-09 09:50:47	ga_ls8c_ard_3-0-0_096067_2014-10-09_final
2015-01-21 09:06:18	ga_ls8c_ard_3-0-0_088080_2015-01-20_final
2015-02-09 11:11:37	ga_ls8c_ard_3-0-0_109069_2015-02-09_final
2015-05-16 11:13:08	ga_ls8c_ard_3-0-0_109075_2015-05-16_final
2015-08-18 09:44:09	ga_ls8c_ard_3-0-0_095067_2015-08-18_final
2015-09-08 10:09:36	ga_ls8c_ard_3-0-0_098084_2015-09-08_final
2015-12-28 09:21:49	ga_ls8c_ard_3-0-0_091072_2015-12-27_final
2016-02-10 09:46:48	ga_ls8c_ard_3-0-0_095073_2016-02-10_final
2017-07-31 11:20:16	ga_ls8c_ard_3-0-0_110075_2017-07-31_final
2017-12-29 09:44:35	ga_ls8c_ard_3-0-0_095067_2017-12-29_final
2017-12-31 09:34:36	ga_ls8c_ard_3-0-0_093073_2017-12-31_final
2018-02-24 11:18:03	ga_ls8c_ard_3-0-0_110070_2018-02-24_final
2018-04-26 10:48:37	ga_ls8c_ard_3-0-0_105075_2018-04-26_final
2018-09-27 09:44:07	ga_ls8c_ard_3-0-0_095067_2018-09-27_final
2019-03-01 09:28:21	ga_ls8c_ard_3-0-0_092074_2019-02-28_final
2019-05-09 09:43:55	ga_ls8c_ard_3-0-0_095067_2019-05-09_final
2019-05-09 11:23:36	ga_ls8c_ard_3-0-0_111069_2019-05-09_final
2020-01-31 11:05:39	ga_ls8c_ard_3-1-0_108069_2020-01-31_final
2020-02-12 09:57:25	ga_ls8c_ard_3-1-0_096084_2020-02-12_final
2020-04-16 09:50:11	ga_ls8c_ard_3-1-0_096067_2020-04-16_final
2020-05-11 11:23:29	ga_ls8c_ard_3-1-0_111069_2020-05-11_final
2020-06-09 10:55:10	ga_ls8c_ard_3-1-0_106075_2020-06-09_final
2020-08-12 10:55:34	ga_ls8c_ard_3-1-0_106075_2020-08-12_final
2021-01-04 09:58:14	ga_ls8c_ard_3-2-0_097070_2021-01-04_final
2021-03-11 11:24:23	ga_ls8c_ard_3-2-0_111070_2021-03-11_final
2021-05-01 10:16:27	ga_ls8c_ard_3-2-0_100071_2021-05-01_final
2021-11-24 11:14:28	ga_ls8c_ard_3-2-0_109075_2021-11-24_final
2022-01-15 10:50:01	ga_ls8c_ard_3-2-1_105076_2022-01-15_final
2022-02-03 11:18:27	ga_ls8c_ard_3-2-1_110070_2022-02-03_final
2022-03-10 10:13:06	ga_ls8c_ard_3-2-1_099077_2022-03-10_final
2022-05-19 09:33:35	ga_ls8c_ard_3-2-1_093071_2022-05-19_final
2022-06-15 10:55:45	ga_ls8c_ard_3-2-1_106075_2022-06-15_final
2022-07-10 10:50:02	ga_ls8c_ard_3-2-1_105076_2022-07-10_final
2022-10-03 09:29:17	ga_ls8c_ard_3-2-1_092074_2022-10-02_final
2022-12-23 10:10:18	ga_ls8c_ard_3-2-1_099069_2022-12-23_final
2023-02-25 10:13:10	ga_ls8c_ard_3-2-1_099077_2023-02-25_final
2023-02-26 10:53:15	ga_ls8c_ard_3-2-1_106069_2023-02-26_final
2023-03-12 11:07:55	ga_ls8c_ard_3-2-1_108075_2023-03-12_final
2023-06-21 11:23:10	ga_ls8c_ard_3-2-1_111068_2023-06-21_final
2023-09-24 10:46:06	ga_ls8c_ard_3-2-1_104082_2023-09-24_final
2023-12-19 10:09:57	ga_ls8c_ard_3-2-1_098084_2023-12-19_final
2024-01-01 09:33:46	ga_ls8c_ard_3-2-1_093071_2024-01-01_final
2024-01-26 09:33:51	ga_ls8c_ard_3-2-1_092087_2024-01-26_final
2024-02-04 09:22:58	ga_ls8c_ard_3-2-1_091075_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years