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

71 results

Time (local)	Label
2013-05-31 09:55:50	ga_ls8c_ard_3-0-0_096075_2013-05-31_final
2013-07-08 11:00:46	ga_ls8c_ard_3-0-0_106083_2013-07-08_final
2013-07-09 11:42:02	ga_ls8c_ard_3-0-0_113078_2013-07-09_final
2013-07-13 09:38:01	ga_ls8c_ard_3-0-0_093077_2013-07-13_final
2013-07-24 10:58:45	ga_ls8c_ard_3-0-0_106078_2013-07-24_final
2013-08-03 11:35:28	ga_ls8c_ard_3-0-0_112077_2013-08-03_final
2013-08-07 09:32:16	ga_ls8c_ard_3-0-0_092078_2013-08-07_final
2013-08-19 09:55:48	ga_ls8c_ard_3-0-0_096075_2013-08-19_final
2013-08-19 11:35:29	ga_ls8c_ard_3-0-0_112077_2013-08-19_final
2013-08-30 09:38:05	ga_ls8c_ard_3-0-0_093077_2013-08-30_final
2013-09-08 09:32:17	ga_ls8c_ard_3-0-0_092078_2013-09-08_final
2013-09-24 09:32:09	ga_ls8c_ard_3-0-0_092078_2013-09-24_final
2013-10-17 11:19:10	ga_ls8c_ard_3-0-0_109083_2013-10-17_final
2013-10-22 11:36:51	ga_ls8c_ard_3-0-0_112081_2013-10-22_final
2013-10-25 10:28:26	ga_ls8c_ard_3-0-0_101080_2013-10-25_final
2014-01-06 10:22:14	ga_ls8c_ard_3-0-0_100081_2014-01-06_final
2014-02-08 09:29:49	ga_ls8c_ard_3-0-0_091090_2014-02-07_final
2014-02-17 10:56:49	ga_ls8c_ard_3-0-0_106076_2014-02-17_final
2014-03-10 09:38:35	ga_ls8c_ard_3-0-0_093082_2014-03-10_final
2014-03-14 10:51:07	ga_ls8c_ard_3-0-0_105078_2014-03-14_final
2014-05-11 09:48:24	ga_ls8c_ard_3-0-0_095078_2014-05-11_final
2014-05-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2014-05-11_final
2014-06-03 11:33:29	ga_ls8c_ard_3-0-0_112078_2014-06-03_final
2014-06-03 11:33:53	ga_ls8c_ard_3-0-0_112079_2014-06-03_final
2014-06-03 11:34:17	ga_ls8c_ard_3-0-0_112080_2014-06-03_final
2014-06-19 09:53:54	ga_ls8c_ard_3-0-0_096076_2014-06-19_final
2014-06-19 11:33:35	ga_ls8c_ard_3-0-0_112078_2014-06-19_final
2014-06-20 10:37:09	ga_ls8c_ard_3-0-0_103076_2014-06-20_final
2014-06-23 09:30:22	ga_ls8c_ard_3-0-0_092079_2014-06-23_final
2014-06-28 09:48:31	ga_ls8c_ard_3-0-0_095078_2014-06-28_final
2014-07-04 10:51:36	ga_ls8c_ard_3-0-0_105081_2014-07-04_final
2014-07-05 09:53:59	ga_ls8c_ard_3-0-0_096076_2014-07-05_final
2014-07-05 09:54:47	ga_ls8c_ard_3-0-0_096078_2014-07-05_final
2014-07-05 09:55:11	ga_ls8c_ard_3-0-0_096079_2014-07-05_final
2014-07-05 11:33:40	ga_ls8c_ard_3-0-0_112078_2014-07-05_final
2014-07-06 10:34:52	ga_ls8c_ard_3-0-0_103070_2014-07-06_final
2014-07-14 09:48:40	ga_ls8c_ard_3-0-0_095078_2014-07-14_final
2014-07-21 09:55:15	ga_ls8c_ard_3-0-0_096079_2014-07-21_final
2014-07-21 11:32:56	ga_ls8c_ard_3-0-0_112076_2014-07-21_final
2014-07-25 09:30:32	ga_ls8c_ard_3-0-0_092079_2014-07-25_final
2014-08-04 10:06:08	ga_ls8c_ard_3-0-0_098075_2014-08-04_final
2014-08-06 09:54:12	ga_ls8c_ard_3-0-0_096076_2014-08-06_final
2014-08-06 09:55:23	ga_ls8c_ard_3-0-0_096079_2014-08-06_final
2014-08-06 09:56:59	ga_ls8c_ard_3-0-0_096083_2014-08-06_final
2014-08-06 11:33:53	ga_ls8c_ard_3-0-0_112078_2014-08-06_final
2014-08-17 11:16:35	ga_ls8c_ard_3-0-0_109081_2014-08-17_final
2014-08-22 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-08-22_final
2014-08-28 10:58:03	ga_ls8c_ard_3-0-0_106081_2014-08-28_final
2014-09-21 10:08:39	ga_ls8c_ard_3-0-0_098081_2014-09-21_final
2014-09-29 10:56:31	ga_ls8c_ard_3-0-0_106077_2014-09-29_final
2014-10-02 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-10-02_final
2014-10-17 10:45:03	ga_ls8c_ard_3-0-0_104079_2014-10-17_final
2014-11-25 10:51:59	ga_ls8c_ard_3-0-0_105081_2014-11-25_final
2014-12-20 10:45:45	ga_ls8c_ard_3-0-0_104081_2014-12-20_final
2015-02-02 11:08:41	ga_ls8c_ard_3-0-0_108077_2015-02-02_final
2015-02-06 10:41:09	ga_ls8c_ard_3-0-0_104070_2015-02-06_final
2015-02-06 10:45:32	ga_ls8c_ard_3-0-0_104081_2015-02-06_final
2015-02-16 09:42:25	ga_ls8c_ard_3-0-0_094078_2015-02-16_final
2015-02-19 10:11:44	ga_ls8c_ard_3-0-0_099074_2015-02-19_final
2015-05-09 11:08:13	ga_ls8c_ard_3-0-0_108078_2015-05-09_final
2015-05-14 09:47:48	ga_ls8c_ard_3-0-0_095078_2015-05-14_final
2015-05-30 09:47:53	ga_ls8c_ard_3-0-0_095078_2015-05-30_final
2015-09-09 10:46:05	ga_ls8c_ard_3-0-0_105067_2015-09-09_final
2015-09-30 11:08:45	ga_ls8c_ard_3-0-0_108077_2015-09-30_final
2015-11-17 11:08:52	ga_ls8c_ard_3-0-0_108077_2015-11-17_final
2016-01-04 11:08:50	ga_ls8c_ard_3-0-0_108077_2016-01-04_final
2016-04-21 11:33:00	ga_ls8c_ard_3-0-0_112077_2016-04-21_final
2016-09-03 11:37:51	ga_ls8c_ard_3-0-0_113072_2016-09-03_final
2016-09-27 09:10:45	ga_ls8c_ard_3-0-0_089075_2016-09-26_final
2018-01-05 09:51:31	ga_ls8c_ard_3-0-0_096069_2018-01-05_final
2022-10-08 09:48:59	ga_ls8c_ard_3-2-1_095077_2022-10-08_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