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
2014-10-07 11:45:37	ga_ls8c_ard_3-0-0_114076_2014-10-07_final
2014-10-23 11:45:39	ga_ls8c_ard_3-0-0_114076_2014-10-23_final
2014-11-24 11:45:36	ga_ls8c_ard_3-0-0_114076_2014-11-24_final
2014-12-26 11:45:31	ga_ls8c_ard_3-0-0_114076_2014-12-26_final
2015-01-11 11:45:28	ga_ls8c_ard_3-0-0_114076_2015-01-11_final
2015-01-27 11:45:23	ga_ls8c_ard_3-0-0_114076_2015-01-27_final
2015-02-12 11:45:15	ga_ls8c_ard_3-0-0_114076_2015-02-12_final
2015-02-28 11:45:12	ga_ls8c_ard_3-0-0_114076_2015-02-28_final
2015-03-16 11:45:01	ga_ls8c_ard_3-0-0_114076_2015-03-16_final
2015-04-01 11:44:50	ga_ls8c_ard_3-0-0_114076_2015-04-01_final
2015-04-17 11:44:48	ga_ls8c_ard_3-0-0_114076_2015-04-17_final
2015-05-19 11:44:28	ga_ls8c_ard_3-0-0_114076_2015-05-19_final
2015-06-04 11:44:35	ga_ls8c_ard_3-0-0_114076_2015-06-04_final
2015-07-06 11:44:53	ga_ls8c_ard_3-0-0_114076_2015-07-06_final
2015-08-07 11:45:03	ga_ls8c_ard_3-0-0_114076_2015-08-07_final
2015-08-23 11:45:12	ga_ls8c_ard_3-0-0_114076_2015-08-23_final
2015-09-24 11:45:25	ga_ls8c_ard_3-0-0_114076_2015-09-24_final
2015-10-10 11:45:26	ga_ls8c_ard_3-0-0_114076_2015-10-10_final
2015-11-11 11:45:32	ga_ls8c_ard_3-0-0_114076_2015-11-11_final
2015-11-27 11:45:35	ga_ls8c_ard_3-0-0_114076_2015-11-27_final
2015-12-13 11:45:33	ga_ls8c_ard_3-0-0_114076_2015-12-13_final
2016-01-05 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-05_final
2016-01-30 11:45:29	ga_ls8c_ard_3-0-0_114076_2016-01-30_final
2016-02-15 11:45:22	ga_ls8c_ard_3-0-0_114076_2016-02-15_final
2016-03-02 11:45:19	ga_ls8c_ard_3-0-0_114076_2016-03-02_final
2016-03-18 11:45:14	ga_ls8c_ard_3-0-0_114076_2016-03-18_final
2016-04-19 11:44:59	ga_ls8c_ard_3-0-0_114076_2016-04-19_final
2016-04-26 11:50:44	ga_ls8c_ard_3-0-0_115075_2016-04-26_final
2016-05-05 11:45:02	ga_ls8c_ard_3-0-0_114076_2016-05-05_final
2016-05-21 11:45:01	ga_ls8c_ard_3-0-0_114076_2016-05-21_final
2016-05-28 11:50:51	ga_ls8c_ard_3-0-0_115075_2016-05-28_final
2016-06-06 11:45:06	ga_ls8c_ard_3-0-0_114076_2016-06-06_final
2016-06-22 11:45:11	ga_ls8c_ard_3-0-0_114076_2016-06-22_final
2016-06-29 11:51:02	ga_ls8c_ard_3-0-0_115075_2016-06-29_final
2016-07-08 11:45:20	ga_ls8c_ard_3-0-0_114076_2016-07-08_final
2016-07-15 11:51:09	ga_ls8c_ard_3-0-0_115075_2016-07-15_final
2016-07-24 11:45:25	ga_ls8c_ard_3-0-0_114076_2016-07-24_final
2016-07-31 11:51:13	ga_ls8c_ard_3-0-0_115075_2016-07-31_final
2016-08-09 11:45:27	ga_ls8c_ard_3-0-0_114076_2016-08-09_final
2016-08-25 11:45:34	ga_ls8c_ard_3-0-0_114076_2016-08-25_final
2016-09-01 11:51:23	ga_ls8c_ard_3-0-0_115075_2016-09-01_final
2016-09-26 11:45:39	ga_ls8c_ard_3-0-0_114076_2016-09-26_final
2016-10-03 11:51:28	ga_ls8c_ard_3-0-0_115075_2016-10-03_final
2016-11-04 11:51:33	ga_ls8c_ard_3-0-0_115075_2016-11-04_final
2016-11-13 11:45:45	ga_ls8c_ard_3-0-0_114076_2016-11-13_final
2016-12-15 11:45:42	ga_ls8c_ard_3-0-0_114076_2016-12-15_final
2016-12-22 11:51:26	ga_ls8c_ard_3-0-0_115075_2016-12-22_final
2016-12-31 11:45:39	ga_ls8c_ard_3-0-0_114076_2016-12-31_final
2017-01-07 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-01-07_final
2017-02-01 11:45:28	ga_ls8c_ard_3-0-0_114076_2017-02-01_final
2017-02-24 11:51:06	ga_ls8c_ard_3-0-0_115075_2017-02-24_final
2017-03-12 11:50:58	ga_ls8c_ard_3-0-0_115075_2017-03-12_final
2017-03-21 11:45:05	ga_ls8c_ard_3-0-0_114076_2017-03-21_final
2017-03-28 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-03-28_final
2017-04-13 11:50:41	ga_ls8c_ard_3-0-0_115075_2017-04-13_final
2017-04-29 11:50:30	ga_ls8c_ard_3-0-0_115075_2017-04-29_final
2017-05-15 11:50:38	ga_ls8c_ard_3-0-0_115075_2017-05-15_final
2017-05-31 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-05-31_final
2017-06-09 11:45:05	ga_ls8c_ard_3-0-0_114076_2017-06-09_final
2017-06-16 11:50:55	ga_ls8c_ard_3-0-0_115075_2017-06-16_final
2017-07-11 11:45:14	ga_ls8c_ard_3-0-0_114076_2017-07-11_final
2017-08-03 11:51:11	ga_ls8c_ard_3-0-0_115075_2017-08-03_final
2017-08-19 11:51:16	ga_ls8c_ard_3-0-0_115075_2017-08-19_final
2017-08-28 11:45:31	ga_ls8c_ard_3-0-0_114076_2017-08-28_final
2017-09-04 11:51:19	ga_ls8c_ard_3-0-0_115075_2017-09-04_final
2017-09-20 11:51:22	ga_ls8c_ard_3-0-0_115075_2017-09-20_final
2017-10-22 11:51:30	ga_ls8c_ard_3-0-0_115075_2017-10-22_final
2017-11-07 11:51:29	ga_ls8c_ard_3-0-0_115075_2017-11-07_final
2017-11-16 11:45:40	ga_ls8c_ard_3-0-0_114076_2017-11-16_final
2017-12-25 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-12-25_final
2018-01-03 11:45:34	ga_ls8c_ard_3-0-0_114076_2018-01-03_final
2018-01-10 11:51:18	ga_ls8c_ard_3-0-0_115075_2018-01-10_final
2018-01-19 11:45:26	ga_ls8c_ard_3-0-0_114076_2018-01-19_final
2018-01-26 11:51:09	ga_ls8c_ard_3-0-0_115075_2018-01-26_final
2018-02-11 11:51:02	ga_ls8c_ard_3-0-0_115075_2018-02-11_final
2018-02-27 11:50:56	ga_ls8c_ard_3-0-0_115075_2018-02-27_final
2018-03-08 11:45:04	ga_ls8c_ard_3-0-0_114076_2018-03-08_final
2018-03-15 11:50:46	ga_ls8c_ard_3-0-0_115075_2018-03-15_final
2018-03-31 11:50:40	ga_ls8c_ard_3-0-0_115075_2018-03-31_final
2018-04-16 11:50:31	ga_ls8c_ard_3-0-0_115075_2018-04-16_final
2018-04-25 11:44:39	ga_ls8c_ard_3-0-0_114076_2018-04-25_final
2018-05-02 11:50:22	ga_ls8c_ard_3-0-0_115075_2018-05-02_final
2018-05-18 11:50:11	ga_ls8c_ard_3-0-0_115075_2018-05-18_final
2018-05-27 11:44:17	ga_ls8c_ard_3-0-0_114076_2018-05-27_final
2018-06-03 11:49:59	ga_ls8c_ard_3-0-0_115075_2018-06-03_final
2018-06-19 11:50:08	ga_ls8c_ard_3-0-0_115075_2018-06-19_final
2018-07-05 11:50:18	ga_ls8c_ard_3-0-0_115075_2018-07-05_final
2018-07-21 11:50:25	ga_ls8c_ard_3-0-0_115075_2018-07-21_final
2018-07-30 11:44:42	ga_ls8c_ard_3-0-0_114076_2018-07-30_final
2018-08-06 11:50:33	ga_ls8c_ard_3-0-0_115075_2018-08-06_final
2018-08-22 11:50:42	ga_ls8c_ard_3-0-0_115075_2018-08-22_final
2018-08-31 11:44:58	ga_ls8c_ard_3-0-0_114076_2018-08-31_final
2018-09-07 11:50:47	ga_ls8c_ard_3-0-0_115075_2018-09-07_final
2018-09-23 11:50:52	ga_ls8c_ard_3-0-0_115075_2018-09-23_final
2018-10-02 11:45:10	ga_ls8c_ard_3-0-0_114076_2018-10-02_final
2018-10-09 11:51:00	ga_ls8c_ard_3-0-0_115075_2018-10-09_final
2018-10-25 11:51:06	ga_ls8c_ard_3-0-0_115075_2018-10-25_final
2018-11-10 11:51:08	ga_ls8c_ard_3-0-0_115075_2018-11-10_final
2018-11-26 11:51:08	ga_ls8c_ard_3-0-0_115075_2018-11-26_final
2018-12-12 11:51:05	ga_ls8c_ard_3-0-0_115075_2018-12-12_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