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

First 100 results (query limit)

Time (local)	Label
2013-12-22 11:02:01	ga_ls8c_ard_3-0-0_107072_2013-12-22_final
2013-12-22 11:02:25	ga_ls8c_ard_3-0-0_107073_2013-12-22_final
2013-12-22 11:02:49	ga_ls8c_ard_3-0-0_107074_2013-12-22_final
2013-12-22 11:03:13	ga_ls8c_ard_3-0-0_107075_2013-12-22_final
2013-12-22 11:03:37	ga_ls8c_ard_3-0-0_107076_2013-12-22_final
2013-12-22 11:04:01	ga_ls8c_ard_3-0-0_107077_2013-12-22_final
2013-12-24 10:52:51	ga_ls8c_ard_3-0-0_105080_2013-12-24_final
2013-12-24 10:53:15	ga_ls8c_ard_3-0-0_105081_2013-12-24_final
2013-12-24 10:53:39	ga_ls8c_ard_3-0-0_105082_2013-12-24_final
2014-02-26 10:52:30	ga_ls8c_ard_3-0-0_105081_2014-02-26_final
2014-02-26 10:52:54	ga_ls8c_ard_3-0-0_105082_2014-02-26_final
2014-03-03 11:06:08	ga_ls8c_ard_3-0-0_108069_2014-03-03_final
2014-03-03 11:06:32	ga_ls8c_ard_3-0-0_108070_2014-03-03_final
2014-03-03 11:06:55	ga_ls8c_ard_3-0-0_108071_2014-03-03_final
2014-03-03 11:07:19	ga_ls8c_ard_3-0-0_108072_2014-03-03_final
2014-03-03 11:07:43	ga_ls8c_ard_3-0-0_108073_2014-03-03_final
2014-04-20 11:04:39	ga_ls8c_ard_3-0-0_108067_2014-04-20_final
2014-04-20 11:05:03	ga_ls8c_ard_3-0-0_108068_2014-04-20_final
2014-04-20 11:05:27	ga_ls8c_ard_3-0-0_108069_2014-04-20_final
2014-04-20 11:05:51	ga_ls8c_ard_3-0-0_108070_2014-04-20_final
2014-04-20 11:06:15	ga_ls8c_ard_3-0-0_108071_2014-04-20_final
2014-04-20 11:06:39	ga_ls8c_ard_3-0-0_108072_2014-04-20_final
2014-04-20 11:07:03	ga_ls8c_ard_3-0-0_108073_2014-04-20_final
2014-04-22 10:55:52	ga_ls8c_ard_3-0-0_106076_2014-04-22_final
2014-04-22 10:56:16	ga_ls8c_ard_3-0-0_106077_2014-04-22_final
2014-04-22 10:56:40	ga_ls8c_ard_3-0-0_106078_2014-04-22_final
2014-04-22 10:57:04	ga_ls8c_ard_3-0-0_106079_2014-04-22_final
2014-04-22 10:57:28	ga_ls8c_ard_3-0-0_106080_2014-04-22_final
2014-04-22 10:57:52	ga_ls8c_ard_3-0-0_106081_2014-04-22_final
2014-04-22 10:58:16	ga_ls8c_ard_3-0-0_106082_2014-04-22_final
2018-03-16 10:55:32	ga_ls8c_ard_3-0-0_106076_2018-03-16_final
2018-03-16 10:55:56	ga_ls8c_ard_3-0-0_106077_2018-03-16_final
2018-03-16 10:56:20	ga_ls8c_ard_3-0-0_106078_2018-03-16_final
2018-03-16 10:56:44	ga_ls8c_ard_3-0-0_106079_2018-03-16_final
2018-03-16 10:57:08	ga_ls8c_ard_3-0-0_106080_2018-03-16_final
2018-03-16 10:57:32	ga_ls8c_ard_3-0-0_106081_2018-03-16_final
2018-03-16 10:57:56	ga_ls8c_ard_3-0-0_106082_2018-03-16_final
2018-07-06 10:55:05	ga_ls8c_ard_3-0-0_106076_2018-07-06_final
2018-07-06 10:55:29	ga_ls8c_ard_3-0-0_106077_2018-07-06_final
2018-07-06 10:55:53	ga_ls8c_ard_3-0-0_106078_2018-07-06_final
2018-07-06 10:56:17	ga_ls8c_ard_3-0-0_106079_2018-07-06_final
2018-07-06 10:56:41	ga_ls8c_ard_3-0-0_106080_2018-07-06_final
2018-07-06 10:57:04	ga_ls8c_ard_3-0-0_106081_2018-07-06_final
2018-07-06 10:57:28	ga_ls8c_ard_3-0-0_106082_2018-07-06_final
2021-01-12 10:52:00	ga_ls8c_ard_3-2-0_105081_2021-01-12_final
2021-01-12 10:52:24	ga_ls8c_ard_3-2-0_105082_2021-01-12_final
2021-01-12 10:52:48	ga_ls8c_ard_3-2-0_105083_2021-01-12_final
2021-02-02 11:04:53	ga_ls8c_ard_3-2-0_108067_2021-02-02_final
2021-02-02 11:05:17	ga_ls8c_ard_3-2-0_108068_2021-02-02_final
2021-02-02 11:05:41	ga_ls8c_ard_3-2-0_108069_2021-02-02_final
2021-02-02 11:06:05	ga_ls8c_ard_3-2-0_108070_2021-02-02_final
2021-02-02 11:06:28	ga_ls8c_ard_3-2-0_108071_2021-02-02_final
2021-02-02 11:06:52	ga_ls8c_ard_3-2-0_108072_2021-02-02_final
2021-02-02 11:07:16	ga_ls8c_ard_3-2-0_108073_2021-02-02_final
2021-02-25 11:10:57	ga_ls8c_ard_3-2-0_109067_2021-02-25_final
2021-02-25 11:11:21	ga_ls8c_ard_3-2-0_109068_2021-02-25_final
2021-02-27 11:00:34	ga_ls8c_ard_3-2-0_107072_2021-02-27_final
2021-02-27 11:00:58	ga_ls8c_ard_3-2-0_107073_2021-02-27_final
2021-02-27 11:01:22	ga_ls8c_ard_3-2-0_107074_2021-02-27_final
2021-02-27 11:01:46	ga_ls8c_ard_3-2-0_107075_2021-02-27_final
2021-02-27 11:02:10	ga_ls8c_ard_3-2-0_107076_2021-02-27_final
2021-02-27 11:02:34	ga_ls8c_ard_3-2-0_107077_2021-02-27_final
2021-03-15 11:01:13	ga_ls8c_ard_3-2-0_107074_2021-03-15_final
2021-03-15 11:02:25	ga_ls8c_ard_3-2-0_107077_2021-03-15_final
2021-03-24 10:55:47	ga_ls8c_ard_3-2-0_106076_2021-03-24_final
2021-03-24 10:56:11	ga_ls8c_ard_3-2-0_106077_2021-03-24_final
2021-03-24 10:56:35	ga_ls8c_ard_3-2-0_106078_2021-03-24_final
2021-03-24 10:56:59	ga_ls8c_ard_3-2-0_106079_2021-03-24_final
2021-03-24 10:57:23	ga_ls8c_ard_3-2-0_106080_2021-03-24_final
2021-03-24 10:57:47	ga_ls8c_ard_3-2-0_106081_2021-03-24_final
2021-03-24 10:58:11	ga_ls8c_ard_3-2-0_106082_2021-03-24_final
2021-04-02 10:51:10	ga_ls8c_ard_3-2-0_105080_2021-04-02_final
2021-04-02 10:51:34	ga_ls8c_ard_3-2-0_105081_2021-04-02_final
2021-04-02 10:51:58	ga_ls8c_ard_3-2-0_105082_2021-04-02_final
2021-04-02 10:52:22	ga_ls8c_ard_3-2-0_105083_2021-04-02_final
2021-04-07 11:04:30	ga_ls8c_ard_3-2-0_108067_2021-04-07_final
2021-04-07 11:04:54	ga_ls8c_ard_3-2-0_108068_2021-04-07_final
2021-04-07 11:05:18	ga_ls8c_ard_3-2-0_108069_2021-04-07_final
2021-04-07 11:05:41	ga_ls8c_ard_3-2-0_108070_2021-04-07_final
2021-04-07 11:06:05	ga_ls8c_ard_3-2-0_108071_2021-04-07_final
2021-04-07 11:06:29	ga_ls8c_ard_3-2-0_108072_2021-04-07_final
2021-04-07 11:06:53	ga_ls8c_ard_3-2-0_108073_2021-04-07_final
2021-04-09 10:55:43	ga_ls8c_ard_3-2-0_106076_2021-04-09_final
2021-04-09 10:56:07	ga_ls8c_ard_3-2-0_106077_2021-04-09_final
2021-04-09 10:56:31	ga_ls8c_ard_3-2-0_106078_2021-04-09_final
2021-04-09 10:56:55	ga_ls8c_ard_3-2-0_106079_2021-04-09_final
2021-04-09 10:57:19	ga_ls8c_ard_3-2-0_106080_2021-04-09_final
2021-04-09 10:57:42	ga_ls8c_ard_3-2-0_106081_2021-04-09_final
2021-04-09 10:58:06	ga_ls8c_ard_3-2-0_106082_2021-04-09_final
2022-11-20 11:06:04	ga_ls8c_ard_3-2-1_108069_2022-11-20_final
2022-11-20 11:06:28	ga_ls8c_ard_3-2-1_108070_2022-11-20_final
2022-11-20 11:06:52	ga_ls8c_ard_3-2-1_108071_2022-11-20_final
2022-11-20 11:07:16	ga_ls8c_ard_3-2-1_108072_2022-11-20_final
2022-11-20 11:07:40	ga_ls8c_ard_3-2-1_108073_2022-11-20_final
2022-11-22 10:56:31	ga_ls8c_ard_3-2-1_106076_2022-11-22_final
2022-11-22 10:56:55	ga_ls8c_ard_3-2-1_106077_2022-11-22_final
2022-11-22 10:57:19	ga_ls8c_ard_3-2-1_106078_2022-11-22_final
2022-11-22 10:57:43	ga_ls8c_ard_3-2-1_106079_2022-11-22_final
2022-11-22 10:58:07	ga_ls8c_ard_3-2-1_106080_2022-11-22_final
2022-11-22 10:58:31	ga_ls8c_ard_3-2-1_106081_2022-11-22_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