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
2013-08-03 11:37:04	ga_ls8c_ard_3-0-0_112081_2013-08-03_final
2013-08-03 11:37:28	ga_ls8c_ard_3-0-0_112082_2013-08-03_final
2013-08-03 11:37:52	ga_ls8c_ard_3-0-0_112083_2013-08-03_final
2013-08-03 11:38:16	ga_ls8c_ard_3-0-0_112084_2013-08-03_final
2013-11-14 11:40:57	ga_ls8c_ard_3-0-0_113076_2013-11-14_final
2013-11-14 11:41:21	ga_ls8c_ard_3-0-0_113077_2013-11-14_final
2013-11-14 11:41:45	ga_ls8c_ard_3-0-0_113078_2013-11-14_final
2013-11-14 11:42:09	ga_ls8c_ard_3-0-0_113079_2013-11-14_final
2013-11-14 11:42:33	ga_ls8c_ard_3-0-0_113080_2013-11-14_final
2013-11-14 11:42:57	ga_ls8c_ard_3-0-0_113081_2013-11-14_final
2013-11-14 11:43:21	ga_ls8c_ard_3-0-0_113082_2013-11-14_final
2015-10-19 11:39:17	ga_ls8c_ard_3-0-0_113076_2015-10-19_final
2015-10-19 11:39:41	ga_ls8c_ard_3-0-0_113077_2015-10-19_final
2015-10-19 11:40:05	ga_ls8c_ard_3-0-0_113078_2015-10-19_final
2015-10-19 11:40:29	ga_ls8c_ard_3-0-0_113079_2015-10-19_final
2015-10-19 11:40:53	ga_ls8c_ard_3-0-0_113080_2015-10-19_final
2015-10-19 11:41:17	ga_ls8c_ard_3-0-0_113081_2015-10-19_final
2015-10-19 11:41:41	ga_ls8c_ard_3-0-0_113082_2015-10-19_final
2015-11-18 11:50:32	ga_ls8c_ard_3-0-0_115073_2015-11-18_final
2015-11-20 11:39:23	ga_ls8c_ard_3-0-0_113076_2015-11-20_final
2015-11-20 11:39:47	ga_ls8c_ard_3-0-0_113077_2015-11-20_final
2015-11-20 11:40:11	ga_ls8c_ard_3-0-0_113078_2015-11-20_final
2015-11-20 11:40:35	ga_ls8c_ard_3-0-0_113079_2015-11-20_final
2015-11-20 11:40:59	ga_ls8c_ard_3-0-0_113080_2015-11-20_final
2015-11-20 11:41:23	ga_ls8c_ard_3-0-0_113081_2015-11-20_final
2015-11-20 11:41:47	ga_ls8c_ard_3-0-0_113082_2015-11-20_final
2015-12-15 11:35:11	ga_ls8c_ard_3-0-0_112081_2015-12-15_final
2015-12-15 11:35:35	ga_ls8c_ard_3-0-0_112082_2015-12-15_final
2016-02-01 11:35:07	ga_ls8c_ard_3-0-0_112081_2016-02-01_final
2016-02-01 11:35:31	ga_ls8c_ard_3-0-0_112082_2016-02-01_final
2016-02-01 11:35:55	ga_ls8c_ard_3-0-0_112083_2016-02-01_final
2016-02-01 11:36:19	ga_ls8c_ard_3-0-0_112084_2016-02-01_final
2016-02-01 11:36:42	ga_ls8c_ard_3-0-0_112085_2016-02-01_final
2017-05-17 11:38:42	ga_ls8c_ard_3-0-0_113076_2017-05-17_final
2017-05-17 11:39:06	ga_ls8c_ard_3-0-0_113077_2017-05-17_final
2017-05-17 11:39:30	ga_ls8c_ard_3-0-0_113078_2017-05-17_final
2017-05-17 11:39:54	ga_ls8c_ard_3-0-0_113079_2017-05-17_final
2017-05-17 11:40:18	ga_ls8c_ard_3-0-0_113080_2017-05-17_final
2017-05-17 11:40:42	ga_ls8c_ard_3-0-0_113081_2017-05-17_final
2017-05-17 11:41:05	ga_ls8c_ard_3-0-0_113082_2017-05-17_final
2017-05-19 11:29:33	ga_ls8c_ard_3-0-0_111084_2017-05-19_final
2017-05-19 11:29:57	ga_ls8c_ard_3-0-0_111085_2017-05-19_final
2018-02-13 11:39:04	ga_ls8c_ard_3-0-0_113076_2018-02-13_final
2018-02-13 11:39:28	ga_ls8c_ard_3-0-0_113077_2018-02-13_final
2018-02-13 11:39:52	ga_ls8c_ard_3-0-0_113078_2018-02-13_final
2018-02-13 11:40:16	ga_ls8c_ard_3-0-0_113079_2018-02-13_final
2018-02-13 11:40:40	ga_ls8c_ard_3-0-0_113080_2018-02-13_final
2018-02-13 11:41:03	ga_ls8c_ard_3-0-0_113081_2018-02-13_final
2018-02-13 11:41:27	ga_ls8c_ard_3-0-0_113082_2018-02-13_final
2018-02-15 11:29:53	ga_ls8c_ard_3-0-0_111084_2018-02-15_final
2018-02-15 11:30:17	ga_ls8c_ard_3-0-0_111085_2018-02-15_final
2018-03-26 11:34:33	ga_ls8c_ard_3-0-0_112081_2018-03-26_final
2018-03-26 11:34:57	ga_ls8c_ard_3-0-0_112082_2018-03-26_final
2018-03-26 11:35:21	ga_ls8c_ard_3-0-0_112083_2018-03-26_final
2018-03-26 11:35:45	ga_ls8c_ard_3-0-0_112084_2018-03-26_final
2018-03-26 11:36:09	ga_ls8c_ard_3-0-0_112085_2018-03-26_final
2018-04-09 11:44:00	ga_ls8c_ard_3-0-0_114074_2018-04-09_final
2018-04-09 11:44:24	ga_ls8c_ard_3-0-0_114075_2018-04-09_final
2018-04-09 11:44:48	ga_ls8c_ard_3-0-0_114076_2018-04-09_final
2018-04-09 11:45:12	ga_ls8c_ard_3-0-0_114077_2018-04-09_final
2018-04-09 11:45:36	ga_ls8c_ard_3-0-0_114078_2018-04-09_final
2018-04-11 11:34:25	ga_ls8c_ard_3-0-0_112081_2018-04-11_final
2018-04-11 11:34:49	ga_ls8c_ard_3-0-0_112082_2018-04-11_final
2018-04-11 11:35:13	ga_ls8c_ard_3-0-0_112083_2018-04-11_final
2018-04-11 11:35:37	ga_ls8c_ard_3-0-0_112084_2018-04-11_final
2018-04-11 11:36:01	ga_ls8c_ard_3-0-0_112085_2018-04-11_final
2018-05-11 11:43:41	ga_ls8c_ard_3-0-0_114074_2018-05-11_final
2018-05-11 11:44:05	ga_ls8c_ard_3-0-0_114075_2018-05-11_final
2018-05-11 11:44:29	ga_ls8c_ard_3-0-0_114076_2018-05-11_final
2018-05-11 11:44:53	ga_ls8c_ard_3-0-0_114077_2018-05-11_final
2018-05-11 11:45:17	ga_ls8c_ard_3-0-0_114078_2018-05-11_final
2018-05-13 11:34:06	ga_ls8c_ard_3-0-0_112081_2018-05-13_final
2018-05-13 11:34:30	ga_ls8c_ard_3-0-0_112082_2018-05-13_final
2018-05-13 11:34:54	ga_ls8c_ard_3-0-0_112083_2018-05-13_final
2018-05-13 11:35:18	ga_ls8c_ard_3-0-0_112084_2018-05-13_final
2018-05-13 11:35:42	ga_ls8c_ard_3-0-0_112085_2018-05-13_final
2018-05-27 11:43:29	ga_ls8c_ard_3-0-0_114074_2018-05-27_final
2018-05-27 11:43:53	ga_ls8c_ard_3-0-0_114075_2018-05-27_final
2018-05-27 11:44:17	ga_ls8c_ard_3-0-0_114076_2018-05-27_final
2018-05-27 11:44:41	ga_ls8c_ard_3-0-0_114077_2018-05-27_final
2018-05-27 11:45:05	ga_ls8c_ard_3-0-0_114078_2018-05-27_final
2018-05-29 11:33:53	ga_ls8c_ard_3-0-0_112081_2018-05-29_final
2018-05-29 11:34:17	ga_ls8c_ard_3-0-0_112082_2018-05-29_final
2018-05-29 11:34:41	ga_ls8c_ard_3-0-0_112083_2018-05-29_final
2018-05-29 11:35:05	ga_ls8c_ard_3-0-0_112084_2018-05-29_final
2018-05-29 11:35:29	ga_ls8c_ard_3-0-0_112085_2018-05-29_final
2018-06-03 11:49:11	ga_ls8c_ard_3-0-0_115073_2018-06-03_final
2018-06-05 11:38:01	ga_ls8c_ard_3-0-0_113076_2018-06-05_final
2018-06-05 11:38:25	ga_ls8c_ard_3-0-0_113077_2018-06-05_final
2018-06-05 11:38:49	ga_ls8c_ard_3-0-0_113078_2018-06-05_final
2018-06-05 11:39:13	ga_ls8c_ard_3-0-0_113079_2018-06-05_final
2018-06-05 11:39:37	ga_ls8c_ard_3-0-0_113080_2018-06-05_final
2018-06-05 11:40:01	ga_ls8c_ard_3-0-0_113081_2018-06-05_final
2018-06-05 11:40:25	ga_ls8c_ard_3-0-0_113082_2018-06-05_final
2018-06-07 11:28:52	ga_ls8c_ard_3-0-0_111084_2018-06-07_final
2018-06-07 11:29:16	ga_ls8c_ard_3-0-0_111085_2018-06-07_final
2020-02-05 11:30:08	ga_ls8c_ard_3-1-0_111084_2020-02-05_final
2020-02-05 11:30:32	ga_ls8c_ard_3-1-0_111085_2020-02-05_final
2020-02-17 11:50:26	ga_ls8c_ard_3-1-0_115073_2020-02-17_final
2020-04-25 11:29:36	ga_ls8c_ard_3-1-0_111084_2020-04-25_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