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

49 results

Time (local)	Label
2013-05-30 10:51:51	ga_ls8c_ard_3-0-0_105076_2013-05-30_final
2013-07-03 10:41:25	ga_ls8c_ard_3-0-0_103081_2013-07-03_final
2014-12-03 11:37:50	ga_ls8c_ard_3-0-0_113072_2014-12-03_final
2015-11-28 09:15:04	ga_ls8c_ard_3-0-0_089086_2015-11-27_final
2016-03-09 10:15:23	ga_ls8c_ard_3-0-0_099083_2016-03-09_final
2016-03-25 10:13:15	ga_ls8c_ard_3-0-0_099078_2016-03-25_final
2016-05-07 09:55:46	ga_ls8c_ard_3-0-0_096081_2016-05-07_final
2016-07-22 10:19:17	ga_ls8c_ard_3-0-0_100077_2016-07-22_final
2016-10-18 09:29:00	ga_ls8c_ard_3-0-0_092074_2016-10-17_final
2016-10-22 10:40:47	ga_ls8c_ard_3-0-0_104068_2016-10-22_final
2016-10-30 09:57:43	ga_ls8c_ard_3-0-0_096084_2016-10-30_final
2017-03-06 10:49:13	ga_ls8c_ard_3-0-0_105075_2017-03-06_final
2017-09-05 09:17:12	ga_ls8c_ard_3-0-0_090076_2017-09-04_final
2017-09-08 11:26:12	ga_ls8c_ard_3-0-0_111074_2017-09-08_final
2017-10-25 10:46:19	ga_ls8c_ard_3-0-0_104082_2017-10-25_final
2018-01-17 10:21:44	ga_ls8c_ard_3-0-0_100083_2018-01-17_final
2018-08-30 09:28:24	ga_ls8c_ard_3-0-0_091090_2018-08-29_final
2018-10-26 10:55:29	ga_ls8c_ard_3-0-0_106075_2018-10-26_final
2018-12-07 09:51:41	ga_ls8c_ard_3-0-0_096070_2018-12-07_final
2019-03-24 09:34:01	ga_ls8c_ard_3-1-0_093073_2019-03-24_final
2019-08-26 10:55:22	ga_ls8c_ard_3-1-0_106074_2019-08-26_final
2019-10-22 10:52:36	ga_ls8c_ard_3-1-0_105082_2019-10-22_final
2020-02-18 09:21:55	ga_ls8c_ard_3-1-0_090088_2020-02-17_final
2020-02-27 10:46:35	ga_ls8c_ard_3-1-0_105068_2020-02-27_final
2020-03-10 11:14:01	ga_ls8c_ard_3-1-0_109075_2020-03-10_final
2020-03-20 11:51:01	ga_ls8c_ard_3-1-0_115075_2020-03-20_final
2020-03-27 10:16:39	ga_ls8c_ard_3-1-0_100071_2020-03-27_final
2020-05-23 10:12:34	ga_ls8c_ard_3-1-0_099077_2020-05-23_final
2020-06-10 09:56:46	ga_ls8c_ard_3-1-0_097068_2020-06-10_final
2020-06-15 10:18:33	ga_ls8c_ard_3-1-0_100076_2020-06-15_final
2020-07-30 11:24:02	ga_ls8c_ard_3-1-0_111069_2020-07-30_final
2020-08-15 11:26:06	ga_ls8c_ard_3-1-0_111074_2020-08-15_final
2020-11-10 09:58:27	ga_ls8c_ard_3-1-0_096086_2020-11-10_final
2020-11-15 11:51:29	ga_ls8c_ard_3-1-0_115075_2020-11-15_final
2020-12-08 10:19:39	ga_ls8c_ard_3-1-0_100077_2020-12-08_final
2021-01-01 09:28:56	ga_ls8c_ard_3-2-0_092074_2020-12-31_final
2021-01-19 09:17:14	ga_ls8c_ard_3-2-0_090076_2021-01-18_final
2021-02-27 09:26:52	ga_ls8c_ard_3-2-0_091085_2021-02-26_final
2021-02-28 10:09:20	ga_ls8c_ard_3-2-0_098083_2021-02-28_final
2022-06-08 10:49:54	ga_ls8c_ard_3-2-1_105076_2022-06-08_final
2022-07-15 09:34:28	ga_ls8c_ard_3-2-1_092088_2022-07-15_final
2022-08-24 10:19:50	ga_ls8c_ard_3-2-1_100077_2022-08-24_final
2022-09-28 09:12:22	ga_ls8c_ard_3-2-1_089078_2022-09-27_final
2022-12-30 10:19:43	ga_ls8c_ard_3-2-1_100077_2022-12-30_final
2022-12-31 11:01:47	ga_ls8c_ard_3-2-1_107074_2022-12-31_final
2023-06-14 11:19:21	ga_ls8c_ard_3-2-1_110074_2023-06-14_final
2023-08-18 10:27:26	ga_ls8c_ard_3-2-1_101082_2023-08-18_final
2023-10-13 09:40:12	ga_ls8c_ard_3-2-1_093087_2023-10-13_final
2023-10-24 10:55:46	ga_ls8c_ard_3-2-1_106075_2023-10-24_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