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
2013-11-21 10:07:21	ga_ls8c_ard_3-0-0_098074_2013-11-21_final
2013-11-21 10:07:45	ga_ls8c_ard_3-0-0_098075_2013-11-21_final
2013-11-21 10:08:09	ga_ls8c_ard_3-0-0_098076_2013-11-21_final
2013-11-23 09:57:22	ga_ls8c_ard_3-0-0_096080_2013-11-23_final
2013-11-23 09:57:46	ga_ls8c_ard_3-0-0_096081_2013-11-23_final
2013-11-23 09:58:10	ga_ls8c_ard_3-0-0_096082_2013-11-23_final
2013-11-23 09:58:33	ga_ls8c_ard_3-0-0_096083_2013-11-23_final
2013-11-23 09:58:57	ga_ls8c_ard_3-0-0_096084_2013-11-23_final
2013-11-23 09:59:21	ga_ls8c_ard_3-0-0_096085_2013-11-23_final
2013-11-25 09:47:49	ga_ls8c_ard_3-0-0_094087_2013-11-25_final
2014-05-23 10:08:37	ga_ls8c_ard_3-0-0_099067_2014-05-23_final
2014-05-23 10:09:01	ga_ls8c_ard_3-0-0_099068_2014-05-23_final
2014-05-23 10:09:25	ga_ls8c_ard_3-0-0_099069_2014-05-23_final
2014-05-23 10:09:49	ga_ls8c_ard_3-0-0_099070_2014-05-23_final
2014-05-23 10:10:13	ga_ls8c_ard_3-0-0_099071_2014-05-23_final
2014-05-23 10:10:37	ga_ls8c_ard_3-0-0_099072_2014-05-23_final
2014-05-25 09:59:28	ga_ls8c_ard_3-0-0_097075_2014-05-25_final
2014-05-25 09:59:52	ga_ls8c_ard_3-0-0_097076_2014-05-25_final
2014-05-25 10:00:16	ga_ls8c_ard_3-0-0_097077_2014-05-25_final
2014-05-25 10:00:40	ga_ls8c_ard_3-0-0_097078_2014-05-25_final
2014-05-25 10:01:04	ga_ls8c_ard_3-0-0_097079_2014-05-25_final
2014-05-25 10:01:28	ga_ls8c_ard_3-0-0_097080_2014-05-25_final
2014-05-25 10:01:52	ga_ls8c_ard_3-0-0_097081_2014-05-25_final
2014-06-10 09:59:39	ga_ls8c_ard_3-0-0_097075_2014-06-10_final
2014-06-10 10:00:03	ga_ls8c_ard_3-0-0_097076_2014-06-10_final
2014-06-10 10:00:26	ga_ls8c_ard_3-0-0_097077_2014-06-10_final
2014-06-10 10:00:50	ga_ls8c_ard_3-0-0_097078_2014-06-10_final
2014-06-12 09:50:29	ga_ls8c_ard_3-0-0_095083_2014-06-12_final
2014-06-12 09:50:53	ga_ls8c_ard_3-0-0_095084_2014-06-12_final
2014-06-12 09:51:17	ga_ls8c_ard_3-0-0_095085_2014-06-12_final
2014-06-12 09:51:41	ga_ls8c_ard_3-0-0_095086_2014-06-12_final
2014-06-12 09:52:05	ga_ls8c_ard_3-0-0_095087_2014-06-12_final
2016-05-23 09:55:23	ga_ls8c_ard_3-0-0_096080_2016-05-23_final
2016-05-23 09:55:47	ga_ls8c_ard_3-0-0_096081_2016-05-23_final
2016-05-23 09:56:11	ga_ls8c_ard_3-0-0_096082_2016-05-23_final
2016-05-23 09:56:35	ga_ls8c_ard_3-0-0_096083_2016-05-23_final
2016-05-23 09:56:59	ga_ls8c_ard_3-0-0_096084_2016-05-23_final
2016-05-23 09:57:23	ga_ls8c_ard_3-0-0_096085_2016-05-23_final
2016-08-02 09:59:59	ga_ls8c_ard_3-0-0_097075_2016-08-02_final
2016-08-02 10:00:23	ga_ls8c_ard_3-0-0_097076_2016-08-02_final
2016-08-02 10:00:47	ga_ls8c_ard_3-0-0_097077_2016-08-02_final
2016-08-02 10:01:11	ga_ls8c_ard_3-0-0_097078_2016-08-02_final
2016-08-02 10:01:35	ga_ls8c_ard_3-0-0_097079_2016-08-02_final
2016-08-02 10:01:59	ga_ls8c_ard_3-0-0_097080_2016-08-02_final
2016-08-02 10:02:22	ga_ls8c_ard_3-0-0_097081_2016-08-02_final
2016-08-04 09:50:49	ga_ls8c_ard_3-0-0_095083_2016-08-04_final
2016-08-04 09:51:13	ga_ls8c_ard_3-0-0_095084_2016-08-04_final
2016-08-04 09:51:37	ga_ls8c_ard_3-0-0_095085_2016-08-04_final
2016-08-04 09:52:01	ga_ls8c_ard_3-0-0_095086_2016-08-04_final
2016-08-04 09:52:25	ga_ls8c_ard_3-0-0_095087_2016-08-04_final
2016-08-04 09:52:49	ga_ls8c_ard_3-0-0_095088_2016-08-04_final
2016-08-29 09:46:23	ga_ls8c_ard_3-0-0_094087_2016-08-29_final
2016-08-29 09:46:47	ga_ls8c_ard_3-0-0_094088_2016-08-29_final
2016-12-03 09:46:32	ga_ls8c_ard_3-0-0_094087_2016-12-03_final
2016-12-03 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-12-03_final
2016-12-06 10:09:03	ga_ls8c_ard_3-2-1_099066_2016-12-06_final
2016-12-06 10:09:27	ga_ls8c_ard_3-0-0_099067_2016-12-06_final
2016-12-06 10:09:51	ga_ls8c_ard_3-0-0_099068_2016-12-06_final
2016-12-06 10:10:15	ga_ls8c_ard_3-0-0_099069_2016-12-06_final
2016-12-06 10:10:39	ga_ls8c_ard_3-0-0_099070_2016-12-06_final
2016-12-06 10:11:02	ga_ls8c_ard_3-0-0_099071_2016-12-06_final
2016-12-06 10:11:26	ga_ls8c_ard_3-0-0_099072_2016-12-06_final
2017-01-07 10:09:19	ga_ls8c_ard_3-0-0_099067_2017-01-07_final
2017-01-07 10:09:43	ga_ls8c_ard_3-0-0_099068_2017-01-07_final
2017-01-07 10:10:07	ga_ls8c_ard_3-0-0_099069_2017-01-07_final
2017-01-07 10:10:31	ga_ls8c_ard_3-0-0_099070_2017-01-07_final
2017-01-07 10:10:55	ga_ls8c_ard_3-0-0_099071_2017-01-07_final
2017-01-07 10:11:19	ga_ls8c_ard_3-0-0_099072_2017-01-07_final
2017-01-09 10:00:09	ga_ls8c_ard_3-0-0_097075_2017-01-09_final
2017-01-09 10:00:33	ga_ls8c_ard_3-0-0_097076_2017-01-09_final
2017-01-09 10:00:57	ga_ls8c_ard_3-0-0_097077_2017-01-09_final
2017-01-09 10:01:21	ga_ls8c_ard_3-0-0_097078_2017-01-09_final
2017-01-09 10:01:45	ga_ls8c_ard_3-0-0_097079_2017-01-09_final
2017-01-09 10:02:09	ga_ls8c_ard_3-0-0_097080_2017-01-09_final
2017-01-09 10:02:32	ga_ls8c_ard_3-0-0_097081_2017-01-09_final
2017-02-05 09:46:13	ga_ls8c_ard_3-0-0_094087_2017-02-05_final
2017-02-05 09:46:37	ga_ls8c_ard_3-0-0_094088_2017-02-05_final
2017-02-08 10:09:06	ga_ls8c_ard_3-0-0_099067_2017-02-08_final
2017-02-08 10:09:30	ga_ls8c_ard_3-0-0_099068_2017-02-08_final
2017-02-08 10:09:54	ga_ls8c_ard_3-0-0_099069_2017-02-08_final
2017-02-08 10:10:18	ga_ls8c_ard_3-0-0_099070_2017-02-08_final
2017-02-08 10:10:42	ga_ls8c_ard_3-0-0_099071_2017-02-08_final
2017-02-08 10:11:06	ga_ls8c_ard_3-0-0_099072_2017-02-08_final
2017-03-12 10:08:53	ga_ls8c_ard_3-0-0_099067_2017-03-12_final
2017-03-12 10:09:17	ga_ls8c_ard_3-0-0_099068_2017-03-12_final
2017-03-12 10:09:41	ga_ls8c_ard_3-0-0_099069_2017-03-12_final
2017-03-12 10:10:05	ga_ls8c_ard_3-0-0_099070_2017-03-12_final
2017-03-12 10:10:29	ga_ls8c_ard_3-0-0_099071_2017-03-12_final
2017-03-12 10:10:53	ga_ls8c_ard_3-0-0_099072_2017-03-12_final
2017-03-14 09:59:42	ga_ls8c_ard_3-0-0_097075_2017-03-14_final
2017-03-14 10:00:06	ga_ls8c_ard_3-0-0_097076_2017-03-14_final
2017-03-14 10:00:30	ga_ls8c_ard_3-0-0_097077_2017-03-14_final
2017-03-14 10:00:54	ga_ls8c_ard_3-0-0_097078_2017-03-14_final
2017-03-14 10:01:18	ga_ls8c_ard_3-0-0_097079_2017-03-14_final
2017-03-14 10:01:41	ga_ls8c_ard_3-0-0_097080_2017-03-14_final
2017-03-14 10:02:05	ga_ls8c_ard_3-0-0_097081_2017-03-14_final
2017-03-16 09:50:54	ga_ls8c_ard_3-0-0_095084_2017-03-16_final
2017-03-16 09:51:18	ga_ls8c_ard_3-0-0_095085_2017-03-16_final
2017-03-16 09:51:42	ga_ls8c_ard_3-0-0_095086_2017-03-16_final
2017-03-16 09:52:06	ga_ls8c_ard_3-0-0_095087_2017-03-16_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years