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
2013-04-15 09:47:14	ga_ls8c_ard_3-0-0_094085_2013-04-15_final
2013-05-01 09:47:12	ga_ls8c_ard_3-0-0_094085_2013-05-01_final
2013-05-17 09:47:24	ga_ls8c_ard_3-0-0_094085_2013-05-17_final
2013-05-24 09:48:03	ga_ls8c_ard_3-0-0_095071_2013-05-24_final
2013-06-02 09:47:28	ga_ls8c_ard_3-0-0_094085_2013-06-02_final
2013-06-18 09:47:21	ga_ls8c_ard_3-0-0_094085_2013-06-18_final
2013-07-04 09:47:23	ga_ls8c_ard_3-0-0_094085_2013-07-04_final
2013-07-20 09:47:22	ga_ls8c_ard_3-0-0_094085_2013-07-20_final
2013-08-05 09:47:25	ga_ls8c_ard_3-0-0_094085_2013-08-05_final
2013-08-21 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-08-21_final
2013-08-28 09:48:03	ga_ls8c_ard_3-0-0_095071_2013-08-28_final
2013-09-06 09:47:27	ga_ls8c_ard_3-0-0_094085_2013-09-06_final
2013-10-08 09:47:18	ga_ls8c_ard_3-0-0_094085_2013-10-08_final
2013-10-24 09:47:11	ga_ls8c_ard_3-0-0_094085_2013-10-24_final
2014-01-12 09:46:38	ga_ls8c_ard_3-0-0_094085_2014-01-12_final
2014-01-28 09:46:31	ga_ls8c_ard_3-0-0_094085_2014-01-28_final
2014-03-01 09:46:03	ga_ls8c_ard_3-0-0_094085_2014-03-01_final
2014-03-17 09:45:54	ga_ls8c_ard_3-0-0_094085_2014-03-17_final
2014-04-02 09:45:37	ga_ls8c_ard_3-0-0_094085_2014-04-02_final
2014-04-25 09:45:51	ga_ls8c_ard_3-0-0_095071_2014-04-25_final
2014-05-11 09:45:36	ga_ls8c_ard_3-0-0_095071_2014-05-11_final
2014-05-27 09:45:33	ga_ls8c_ard_3-0-0_095071_2014-05-27_final
2014-06-05 09:45:03	ga_ls8c_ard_3-0-0_094085_2014-06-05_final
2014-06-12 09:45:42	ga_ls8c_ard_3-0-0_095071_2014-06-12_final
2014-06-28 09:45:44	ga_ls8c_ard_3-0-0_095071_2014-06-28_final
2014-07-07 09:45:14	ga_ls8c_ard_3-0-0_094085_2014-07-07_final
2014-07-14 09:45:52	ga_ls8c_ard_3-0-0_095071_2014-07-14_final
2014-07-30 09:45:57	ga_ls8c_ard_3-0-0_095071_2014-07-30_final
2014-09-16 09:46:08	ga_ls8c_ard_3-0-0_095071_2014-09-16_final
2014-10-27 09:45:36	ga_ls8c_ard_3-0-0_094085_2014-10-27_final
2014-11-03 09:46:12	ga_ls8c_ard_3-0-0_095071_2014-11-03_final
2014-11-12 09:45:39	ga_ls8c_ard_3-0-0_094085_2014-11-12_final
2014-11-28 09:45:36	ga_ls8c_ard_3-0-0_094085_2014-11-28_final
2014-12-14 09:45:30	ga_ls8c_ard_3-0-0_094085_2014-12-14_final
2014-12-30 09:45:27	ga_ls8c_ard_3-0-0_094085_2014-12-30_final
2015-01-15 09:45:26	ga_ls8c_ard_3-0-0_094085_2015-01-15_final
2015-01-31 09:45:22	ga_ls8c_ard_3-0-0_094085_2015-01-31_final
2015-03-27 09:45:30	ga_ls8c_ard_3-0-0_095071_2015-03-27_final
2015-04-12 09:45:23	ga_ls8c_ard_3-0-0_095071_2015-04-12_final
2015-04-28 09:45:17	ga_ls8c_ard_3-0-0_095071_2015-04-28_final
2015-07-01 09:45:23	ga_ls8c_ard_3-0-0_095071_2015-07-01_final
2015-07-26 09:45:01	ga_ls8c_ard_3-0-0_094085_2015-07-26_final
2015-08-27 09:45:12	ga_ls8c_ard_3-0-0_094085_2015-08-27_final
2015-10-14 09:45:25	ga_ls8c_ard_3-0-0_094085_2015-10-14_final
2015-11-06 09:46:07	ga_ls8c_ard_3-0-0_095071_2015-11-06_final
2015-11-15 09:45:31	ga_ls8c_ard_3-0-0_094085_2015-11-15_final
2015-12-17 09:45:33	ga_ls8c_ard_3-0-0_094085_2015-12-17_final
2015-12-24 09:46:09	ga_ls8c_ard_3-0-0_095071_2015-12-24_final
2016-01-02 09:45:31	ga_ls8c_ard_3-0-0_094085_2016-01-02_final
2016-02-10 09:46:00	ga_ls8c_ard_3-0-0_095071_2016-02-10_final
2016-03-06 09:45:18	ga_ls8c_ard_3-0-0_094085_2016-03-06_final
2016-03-13 09:45:51	ga_ls8c_ard_3-0-0_095071_2016-03-13_final
2016-04-07 09:45:02	ga_ls8c_ard_3-0-0_094085_2016-04-07_final
2016-05-16 09:45:34	ga_ls8c_ard_3-0-0_095071_2016-05-16_final
2016-05-25 09:45:02	ga_ls8c_ard_3-0-0_094085_2016-05-25_final
2016-06-10 09:45:06	ga_ls8c_ard_3-0-0_094085_2016-06-10_final
2016-07-19 09:45:59	ga_ls8c_ard_3-0-0_095071_2016-07-19_final
2016-08-04 09:46:02	ga_ls8c_ard_3-0-0_095071_2016-08-04_final
2016-08-20 09:46:06	ga_ls8c_ard_3-0-0_095071_2016-08-20_final
2016-10-23 09:46:21	ga_ls8c_ard_3-0-0_095071_2016-10-23_final
2016-11-08 09:46:20	ga_ls8c_ard_3-0-0_095071_2016-11-08_final
2016-11-24 09:46:21	ga_ls8c_ard_3-0-0_095071_2016-11-24_final
2016-12-26 09:46:14	ga_ls8c_ard_3-0-0_095071_2016-12-26_final
2017-01-11 09:46:11	ga_ls8c_ard_3-0-0_095071_2017-01-11_final
2017-02-28 09:45:52	ga_ls8c_ard_3-0-0_095071_2017-02-28_final
2017-03-16 09:45:43	ga_ls8c_ard_3-0-0_095071_2017-03-16_final
2017-04-17 09:45:26	ga_ls8c_ard_3-0-0_095071_2017-04-17_final
2017-05-03 09:45:17	ga_ls8c_ard_3-0-0_095071_2017-05-03_final
2017-05-19 09:45:29	ga_ls8c_ard_3-0-0_095071_2017-05-19_final
2017-06-04 09:45:38	ga_ls8c_ard_3-0-0_095071_2017-06-04_final
2017-08-07 09:46:00	ga_ls8c_ard_3-0-0_095071_2017-08-07_final
2017-08-23 09:46:05	ga_ls8c_ard_3-0-0_095071_2017-08-23_final
2017-09-08 09:46:07	ga_ls8c_ard_3-0-0_095071_2017-09-08_final
2017-09-24 09:46:11	ga_ls8c_ard_3-0-0_095071_2017-09-24_final
2017-10-10 09:46:17	ga_ls8c_ard_3-0-0_095071_2017-10-10_final
2017-10-26 09:46:18	ga_ls8c_ard_3-0-0_095071_2017-10-26_final
2017-11-11 09:46:16	ga_ls8c_ard_3-0-0_095071_2017-11-11_final
2017-11-27 09:46:10	ga_ls8c_ard_3-0-0_095071_2017-11-27_final
2017-12-13 09:46:10	ga_ls8c_ard_3-0-0_095071_2017-12-13_final
2018-01-14 09:46:04	ga_ls8c_ard_3-0-0_095071_2018-01-14_final
2018-01-30 09:45:54	ga_ls8c_ard_3-0-0_095071_2018-01-30_final
2018-02-15 09:45:49	ga_ls8c_ard_3-0-0_095071_2018-02-15_final
2018-03-03 09:45:41	ga_ls8c_ard_3-0-0_095071_2018-03-03_final
2018-03-19 09:45:33	ga_ls8c_ard_3-0-0_095071_2018-03-19_final
2018-04-04 09:45:26	ga_ls8c_ard_3-0-0_095071_2018-04-04_final
2018-04-20 09:45:16	ga_ls8c_ard_3-0-0_095071_2018-04-20_final
2018-05-06 09:45:07	ga_ls8c_ard_3-0-0_095071_2018-05-06_final
2018-05-22 09:44:56	ga_ls8c_ard_3-0-0_095071_2018-05-22_final
2018-06-07 09:44:48	ga_ls8c_ard_3-0-0_095071_2018-06-07_final
2018-06-23 09:44:59	ga_ls8c_ard_3-0-0_095071_2018-06-23_final
2018-07-25 09:45:14	ga_ls8c_ard_3-0-0_095071_2018-07-25_final
2018-09-11 09:45:37	ga_ls8c_ard_3-0-0_095071_2018-09-11_final
2018-09-20 09:45:03	ga_ls8c_ard_3-0-0_094085_2018-09-20_final
2018-09-27 09:45:42	ga_ls8c_ard_3-0-0_095071_2018-09-27_final
2018-10-06 09:45:11	ga_ls8c_ard_3-0-0_094085_2018-10-06_final
2018-10-29 09:45:55	ga_ls8c_ard_3-0-0_095071_2018-10-29_final
2018-11-14 09:45:56	ga_ls8c_ard_3-0-0_095071_2018-11-14_final
2018-11-30 09:45:55	ga_ls8c_ard_3-0-0_095071_2018-11-30_final
2018-12-15 09:06:12	ga_ls8c_ard_3-0-0_088080_2018-12-14_final
2018-12-16 09:45:52	ga_ls8c_ard_3-0-0_095071_2018-12-16_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