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
2013-09-04 11:33:30	ga_ls8c_ard_3-0-0_112072_2013-09-04_final
2013-11-07 11:33:13	ga_ls8c_ard_3-0-0_112072_2013-11-07_final
2013-12-09 11:33:04	ga_ls8c_ard_3-0-0_112072_2013-12-09_final
2014-08-06 11:31:29	ga_ls8c_ard_3-0-0_112072_2014-08-06_final
2014-08-22 11:31:33	ga_ls8c_ard_3-0-0_112072_2014-08-22_final
2014-09-07 11:31:36	ga_ls8c_ard_3-0-0_112072_2014-09-07_final
2014-10-09 11:31:40	ga_ls8c_ard_3-0-0_112072_2014-10-09_final
2014-10-25 11:31:41	ga_ls8c_ard_3-0-0_112072_2014-10-25_final
2014-12-28 11:31:32	ga_ls8c_ard_3-0-0_112072_2014-12-28_final
2015-01-13 11:33:30	ga_ls8c_ard_3-0-0_112077_2015-01-13_final
2015-01-29 11:31:25	ga_ls8c_ard_3-0-0_112072_2015-01-29_final
2015-06-06 11:30:40	ga_ls8c_ard_3-0-0_112072_2015-06-06_final
2015-07-24 11:31:04	ga_ls8c_ard_3-0-0_112072_2015-07-24_final
2015-08-25 11:31:15	ga_ls8c_ard_3-0-0_112072_2015-08-25_final
2015-12-15 11:31:36	ga_ls8c_ard_3-0-0_112072_2015-12-15_final
2016-04-21 11:31:00	ga_ls8c_ard_3-0-0_112072_2016-04-21_final
2016-06-24 11:31:15	ga_ls8c_ard_3-0-0_112072_2016-06-24_final
2016-07-26 11:31:28	ga_ls8c_ard_3-0-0_112072_2016-07-26_final
2016-09-28 11:31:42	ga_ls8c_ard_3-0-0_112072_2016-09-28_final
2016-10-16 11:20:38	ga_ls8c_ard_3-0-0_110075_2016-10-16_final
2016-12-03 11:20:38	ga_ls8c_ard_3-0-0_110075_2016-12-03_final
2017-01-02 11:31:41	ga_ls8c_ard_3-0-0_112072_2017-01-02_final
2017-03-09 11:20:05	ga_ls8c_ard_3-0-0_110075_2017-03-09_final
2017-04-10 11:19:48	ga_ls8c_ard_3-0-0_110075_2017-04-10_final
2017-04-26 11:19:38	ga_ls8c_ard_3-0-0_110075_2017-04-26_final
2017-05-12 11:19:42	ga_ls8c_ard_3-0-0_110075_2017-05-12_final
2017-06-11 11:31:09	ga_ls8c_ard_3-0-0_112072_2017-06-11_final
2017-06-13 11:20:00	ga_ls8c_ard_3-0-0_110075_2017-06-13_final
2017-06-27 11:31:14	ga_ls8c_ard_3-0-0_112072_2017-06-27_final
2017-06-29 11:20:04	ga_ls8c_ard_3-0-0_110075_2017-06-29_final
2017-07-31 11:20:16	ga_ls8c_ard_3-0-0_110075_2017-07-31_final
2017-10-03 11:20:33	ga_ls8c_ard_3-0-0_110075_2017-10-03_final
2017-10-19 11:20:36	ga_ls8c_ard_3-0-0_110075_2017-10-19_final
2017-11-04 11:20:36	ga_ls8c_ard_3-0-0_110075_2017-11-04_final
2017-12-06 11:20:27	ga_ls8c_ard_3-0-0_110075_2017-12-06_final
2018-01-23 11:20:17	ga_ls8c_ard_3-0-0_110075_2018-01-23_final
2018-02-24 11:20:03	ga_ls8c_ard_3-0-0_110075_2018-02-24_final
2018-03-12 11:19:54	ga_ls8c_ard_3-0-0_110075_2018-03-12_final
2018-04-13 11:19:38	ga_ls8c_ard_3-0-0_110075_2018-04-13_final
2018-04-27 11:30:40	ga_ls8c_ard_3-0-0_112072_2018-04-27_final
2018-05-15 11:19:19	ga_ls8c_ard_3-0-0_110075_2018-05-15_final
2018-05-31 11:19:06	ga_ls8c_ard_3-0-0_110075_2018-05-31_final
2018-06-16 11:19:12	ga_ls8c_ard_3-0-0_110075_2018-06-16_final
2018-07-18 11:19:29	ga_ls8c_ard_3-0-0_110075_2018-07-18_final
2018-08-03 11:19:37	ga_ls8c_ard_3-0-0_110075_2018-08-03_final
2018-08-17 11:32:55	ga_ls8c_ard_3-0-0_112077_2018-08-17_final
2018-08-19 11:19:46	ga_ls8c_ard_3-0-0_110075_2018-08-19_final
2018-09-04 11:19:52	ga_ls8c_ard_3-0-0_110075_2018-09-04_final
2018-09-20 11:19:57	ga_ls8c_ard_3-0-0_110075_2018-09-20_final
2018-10-22 11:20:11	ga_ls8c_ard_3-0-0_110075_2018-10-22_final
2018-11-07 11:20:14	ga_ls8c_ard_3-0-0_110075_2018-11-07_final
2018-12-25 11:20:11	ga_ls8c_ard_3-0-0_110075_2018-12-25_final
2019-01-01 09:44:17	ga_ls8c_ard_3-0-0_095067_2019-01-01_final
2019-01-01 11:25:10	ga_ls8c_ard_3-0-0_111072_2019-01-01_final
2019-01-06 11:46:29	ga_ls8c_ard_3-0-0_114079_2019-01-06_final
2019-01-10 09:40:29	ga_ls8c_ard_3-0-0_094073_2019-01-10_final
2019-01-10 09:45:40	ga_ls8c_ard_3-0-0_094086_2019-01-10_final
2019-01-10 11:20:09	ga_ls8c_ard_3-0-0_110075_2019-01-10_final
2019-01-15 11:41:05	ga_ls8c_ard_3-0-0_113081_2019-01-15_final
2019-01-17 11:24:19	ga_ls8c_ard_3-0-0_111070_2019-01-17_final
2019-01-17 11:25:07	ga_ls8c_ard_3-0-0_111072_2019-01-17_final
2019-01-26 09:45:36	ga_ls8c_ard_3-0-0_094086_2019-01-26_final
2019-01-26 11:20:06	ga_ls8c_ard_3-0-0_110075_2019-01-26_final
2019-02-01 09:06:54	ga_ls8c_ard_3-0-0_088082_2019-01-31_final
2019-02-01 09:07:18	ga_ls8c_ard_3-0-0_088083_2019-01-31_final
2019-02-02 11:25:03	ga_ls8c_ard_3-0-0_111072_2019-02-02_final
2019-02-11 09:45:34	ga_ls8c_ard_3-0-0_094086_2019-02-11_final
2019-02-11 11:20:03	ga_ls8c_ard_3-0-0_110075_2019-02-11_final
2019-02-18 11:25:01	ga_ls8c_ard_3-0-0_111072_2019-02-18_final
2019-02-23 11:46:20	ga_ls8c_ard_3-0-0_114079_2019-02-23_final
2019-02-25 11:32:46	ga_ls8c_ard_3-0-0_112076_2019-02-25_final
2019-02-27 09:45:30	ga_ls8c_ard_3-0-0_094086_2019-02-27_final
2019-02-27 11:20:00	ga_ls8c_ard_3-0-0_110075_2019-02-27_final
2019-03-02 11:52:05	ga_ls8c_ard_3-0-0_115078_2019-03-02_final
2019-03-04 11:36:55	ga_ls8c_ard_3-0-0_113071_2019-03-04_final
2019-03-04 11:40:54	ga_ls8c_ard_3-0-0_113081_2019-03-04_final
2019-03-06 11:24:56	ga_ls8c_ard_3-0-0_111072_2019-03-06_final
2019-04-21 11:36:40	ga_ls8c_ard_3-0-0_113071_2019-04-21_final
2019-04-22 09:06:33	ga_ls8c_ard_3-0-0_088082_2019-04-21_final
2019-04-22 09:06:57	ga_ls8c_ard_3-0-0_088083_2019-04-21_final
2019-04-23 11:24:41	ga_ls8c_ard_3-0-0_111072_2019-04-23_final
2019-05-02 11:19:44	ga_ls8c_ard_3-0-0_110075_2019-05-02_final
2019-05-07 11:36:44	ga_ls8c_ard_3-0-0_113071_2019-05-07_final
2019-05-08 09:07:01	ga_ls8c_ard_3-0-0_088083_2019-05-07_final
2019-05-09 09:43:55	ga_ls8c_ard_3-0-0_095067_2019-05-09_final
2019-05-09 11:24:47	ga_ls8c_ard_3-0-0_111072_2019-05-09_final
2019-05-16 11:32:39	ga_ls8c_ard_3-0-0_112076_2019-05-16_final
2019-05-18 09:45:25	ga_ls8c_ard_3-0-0_094086_2019-05-18_final
2019-05-18 11:19:54	ga_ls8c_ard_3-0-0_110075_2019-05-18_final
2019-05-21 11:50:02	ga_ls8c_ard_3-0-0_115073_2019-05-21_final
2019-05-23 11:36:54	ga_ls8c_ard_3-0-0_113071_2019-05-23_final
2019-05-24 09:07:11	ga_ls8c_ard_3-0-0_088083_2019-05-23_final
2019-05-25 11:24:57	ga_ls8c_ard_3-0-0_111072_2019-05-25_final
2019-06-01 11:32:47	ga_ls8c_ard_3-0-0_112076_2019-06-01_final
2019-06-03 09:45:33	ga_ls8c_ard_3-0-0_094086_2019-06-03_final
2019-06-06 11:50:10	ga_ls8c_ard_3-0-0_115073_2019-06-06_final
2019-06-08 11:37:02	ga_ls8c_ard_3-0-0_113071_2019-06-08_final
2019-06-08 11:41:01	ga_ls8c_ard_3-0-0_113081_2019-06-08_final
2019-06-09 09:06:55	ga_ls8c_ard_3-0-0_088082_2019-06-08_final
2019-06-09 09:07:19	ga_ls8c_ard_3-0-0_088083_2019-06-08_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years