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
2015-12-27 11:57:07	ga_ls8c_ard_3-0-0_116074_2015-12-27_final
2015-12-27 11:57:31	ga_ls8c_ard_3-0-0_116075_2015-12-27_final
2015-12-27 11:57:55	ga_ls8c_ard_3-0-0_116076_2015-12-27_final
2015-12-27 11:58:19	ga_ls8c_ard_3-0-0_116077_2015-12-27_final
2015-12-29 11:47:09	ga_ls8c_ard_3-0-0_114080_2015-12-29_final
2015-12-29 11:47:32	ga_ls8c_ard_3-0-0_114081_2015-12-29_final
2016-02-15 11:46:57	ga_ls8c_ard_3-0-0_114080_2016-02-15_final
2016-02-15 11:47:21	ga_ls8c_ard_3-0-0_114081_2016-02-15_final
2016-05-14 11:41:59	ga_ls8c_ard_3-0-0_113084_2016-05-14_final
2016-05-19 11:56:34	ga_ls8c_ard_3-0-0_116074_2016-05-19_final
2016-05-19 11:56:58	ga_ls8c_ard_3-0-0_116075_2016-05-19_final
2016-05-19 11:57:22	ga_ls8c_ard_3-0-0_116076_2016-05-19_final
2016-05-19 11:57:46	ga_ls8c_ard_3-0-0_116077_2016-05-19_final
2016-07-08 11:46:55	ga_ls8c_ard_3-0-0_114080_2016-07-08_final
2016-07-08 11:47:19	ga_ls8c_ard_3-0-0_114081_2016-07-08_final
2016-07-22 11:56:58	ga_ls8c_ard_3-0-0_116074_2016-07-22_final
2016-07-22 11:57:22	ga_ls8c_ard_3-0-0_116075_2016-07-22_final
2016-07-22 11:57:46	ga_ls8c_ard_3-0-0_116076_2016-07-22_final
2016-07-22 11:58:10	ga_ls8c_ard_3-0-0_116077_2016-07-22_final
2016-07-24 11:47:01	ga_ls8c_ard_3-0-0_114080_2016-07-24_final
2016-07-24 11:47:25	ga_ls8c_ard_3-0-0_114081_2016-07-24_final
2016-07-31 11:51:37	ga_ls8c_ard_3-0-0_115076_2016-07-31_final
2016-07-31 11:52:01	ga_ls8c_ard_3-0-0_115077_2016-07-31_final
2016-07-31 11:52:25	ga_ls8c_ard_3-0-0_115078_2016-07-31_final
2016-07-31 11:52:49	ga_ls8c_ard_3-0-0_115079_2016-07-31_final
2016-07-31 11:53:13	ga_ls8c_ard_3-0-0_115080_2016-07-31_final
2016-08-07 11:57:01	ga_ls8c_ard_3-0-0_116074_2016-08-07_final
2016-08-07 11:57:25	ga_ls8c_ard_3-0-0_116075_2016-08-07_final
2016-08-07 11:57:49	ga_ls8c_ard_3-0-0_116076_2016-08-07_final
2016-08-07 11:58:13	ga_ls8c_ard_3-0-0_116077_2016-08-07_final
2016-08-09 11:47:03	ga_ls8c_ard_3-0-0_114080_2016-08-09_final
2016-08-09 11:47:27	ga_ls8c_ard_3-0-0_114081_2016-08-09_final
2016-08-25 11:47:10	ga_ls8c_ard_3-0-0_114080_2016-08-25_final
2016-08-25 11:47:34	ga_ls8c_ard_3-0-0_114081_2016-08-25_final
2016-09-19 11:42:40	ga_ls8c_ard_3-0-0_113084_2016-09-19_final
2016-09-26 11:47:15	ga_ls8c_ard_3-0-0_114080_2016-09-26_final
2016-09-26 11:47:39	ga_ls8c_ard_3-0-0_114081_2016-09-26_final
2016-10-10 11:57:17	ga_ls8c_ard_3-0-0_116074_2016-10-10_final
2016-10-10 11:57:41	ga_ls8c_ard_3-0-0_116075_2016-10-10_final
2016-10-10 11:58:05	ga_ls8c_ard_3-0-0_116076_2016-10-10_final
2016-10-10 11:58:29	ga_ls8c_ard_3-0-0_116077_2016-10-10_final
2016-10-12 11:47:20	ga_ls8c_ard_3-0-0_114080_2016-10-12_final
2016-10-12 11:47:44	ga_ls8c_ard_3-0-0_114081_2016-10-12_final
2016-11-04 11:51:57	ga_ls8c_ard_3-0-0_115076_2016-11-04_final
2016-11-04 11:52:21	ga_ls8c_ard_3-0-0_115077_2016-11-04_final
2016-11-04 11:52:45	ga_ls8c_ard_3-0-0_115078_2016-11-04_final
2016-11-04 11:53:09	ga_ls8c_ard_3-0-0_115079_2016-11-04_final
2016-11-04 11:53:33	ga_ls8c_ard_3-0-0_115080_2016-11-04_final
2016-11-13 11:47:21	ga_ls8c_ard_3-0-0_114080_2016-11-13_final
2016-11-13 11:47:45	ga_ls8c_ard_3-0-0_114081_2016-11-13_final
2016-12-06 11:51:55	ga_ls8c_ard_3-0-0_115076_2016-12-06_final
2016-12-06 11:52:19	ga_ls8c_ard_3-0-0_115077_2016-12-06_final
2016-12-06 11:52:43	ga_ls8c_ard_3-0-0_115078_2016-12-06_final
2016-12-06 11:53:07	ga_ls8c_ard_3-0-0_115079_2016-12-06_final
2016-12-06 11:53:31	ga_ls8c_ard_3-0-0_115080_2016-12-06_final
2016-12-15 11:47:18	ga_ls8c_ard_3-0-0_114080_2016-12-15_final
2016-12-15 11:47:41	ga_ls8c_ard_3-0-0_114081_2016-12-15_final
2016-12-31 11:47:15	ga_ls8c_ard_3-0-0_114080_2016-12-31_final
2016-12-31 11:47:39	ga_ls8c_ard_3-0-0_114081_2016-12-31_final
2017-01-07 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-01-07_final
2017-01-07 11:52:12	ga_ls8c_ard_3-0-0_115077_2017-01-07_final
2017-01-07 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-01-07_final
2017-01-07 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-01-07_final
2017-01-07 11:53:24	ga_ls8c_ard_3-0-0_115080_2017-01-07_final
2017-01-09 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-01-09_final
2017-01-23 11:51:43	ga_ls8c_ard_3-0-0_115076_2017-01-23_final
2017-01-23 11:52:07	ga_ls8c_ard_3-0-0_115077_2017-01-23_final
2017-01-23 11:52:31	ga_ls8c_ard_3-0-0_115078_2017-01-23_final
2017-01-23 11:52:55	ga_ls8c_ard_3-0-0_115079_2017-01-23_final
2017-01-23 11:53:19	ga_ls8c_ard_3-0-0_115080_2017-01-23_final
2017-01-25 11:42:32	ga_ls8c_ard_3-0-0_113084_2017-01-25_final
2017-02-08 11:51:35	ga_ls8c_ard_3-0-0_115076_2017-02-08_final
2017-02-08 11:51:59	ga_ls8c_ard_3-0-0_115077_2017-02-08_final
2017-02-08 11:52:23	ga_ls8c_ard_3-0-0_115078_2017-02-08_final
2017-02-08 11:52:47	ga_ls8c_ard_3-0-0_115079_2017-02-08_final
2017-02-08 11:53:11	ga_ls8c_ard_3-0-0_115080_2017-02-08_final
2017-02-17 11:46:57	ga_ls8c_ard_3-0-0_114080_2017-02-17_final
2017-02-17 11:47:21	ga_ls8c_ard_3-0-0_114081_2017-02-17_final
2017-03-12 11:51:22	ga_ls8c_ard_3-0-0_115076_2017-03-12_final
2017-03-12 11:51:46	ga_ls8c_ard_3-0-0_115077_2017-03-12_final
2017-03-12 11:52:09	ga_ls8c_ard_3-0-0_115078_2017-03-12_final
2017-03-12 11:52:33	ga_ls8c_ard_3-0-0_115079_2017-03-12_final
2017-03-12 11:52:57	ga_ls8c_ard_3-0-0_115080_2017-03-12_final
2017-03-14 11:42:10	ga_ls8c_ard_3-0-0_113084_2017-03-14_final
2017-04-13 11:51:05	ga_ls8c_ard_3-0-0_115076_2017-04-13_final
2017-04-13 11:51:29	ga_ls8c_ard_3-0-0_115077_2017-04-13_final
2017-04-13 11:51:53	ga_ls8c_ard_3-0-0_115078_2017-04-13_final
2017-04-13 11:52:17	ga_ls8c_ard_3-0-0_115079_2017-04-13_final
2017-04-13 11:52:41	ga_ls8c_ard_3-0-0_115080_2017-04-13_final
2017-04-20 11:56:23	ga_ls8c_ard_3-0-0_116074_2017-04-20_final
2017-04-20 11:56:47	ga_ls8c_ard_3-0-0_116075_2017-04-20_final
2017-04-20 11:57:11	ga_ls8c_ard_3-0-0_116076_2017-04-20_final
2017-04-20 11:57:35	ga_ls8c_ard_3-0-0_116077_2017-04-20_final
2017-06-07 11:56:38	ga_ls8c_ard_3-0-0_116074_2017-06-07_final
2017-06-07 11:57:02	ga_ls8c_ard_3-0-0_116075_2017-06-07_final
2017-06-07 11:57:26	ga_ls8c_ard_3-0-0_116076_2017-06-07_final
2017-06-07 11:57:50	ga_ls8c_ard_3-0-0_116077_2017-06-07_final
2017-07-25 11:56:54	ga_ls8c_ard_3-0-0_116074_2017-07-25_final
2017-07-25 11:57:18	ga_ls8c_ard_3-0-0_116075_2017-07-25_final
2017-07-25 11:57:42	ga_ls8c_ard_3-0-0_116076_2017-07-25_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