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 11:44:49	ga_ls8c_ard_3-0-0_114074_2014-10-07_final
2014-10-07 11:45:13	ga_ls8c_ard_3-0-0_114075_2014-10-07_final
2014-10-07 11:45:37	ga_ls8c_ard_3-0-0_114076_2014-10-07_final
2014-10-07 11:46:01	ga_ls8c_ard_3-0-0_114077_2014-10-07_final
2014-10-07 11:46:25	ga_ls8c_ard_3-0-0_114078_2014-10-07_final
2014-10-07 11:46:49	ga_ls8c_ard_3-0-0_114079_2014-10-07_final
2014-10-09 11:35:39	ga_ls8c_ard_3-0-0_112082_2014-10-09_final
2014-10-09 11:36:03	ga_ls8c_ard_3-0-0_112083_2014-10-09_final
2014-10-09 11:36:27	ga_ls8c_ard_3-0-0_112084_2014-10-09_final
2014-10-14 11:51:02	ga_ls8c_ard_3-0-0_115074_2014-10-14_final
2014-10-16 11:40:16	ga_ls8c_ard_3-0-0_113078_2014-10-16_final
2014-10-16 11:40:40	ga_ls8c_ard_3-0-0_113079_2014-10-16_final
2014-10-16 11:41:04	ga_ls8c_ard_3-0-0_113080_2014-10-16_final
2014-10-16 11:41:28	ga_ls8c_ard_3-0-0_113081_2014-10-16_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-10-16 11:42:16	ga_ls8c_ard_3-0-0_113083_2014-10-16_final
2014-11-15 11:51:01	ga_ls8c_ard_3-0-0_115074_2014-11-15_final
2014-11-26 11:35:39	ga_ls8c_ard_3-0-0_112082_2014-11-26_final
2014-11-26 11:36:03	ga_ls8c_ard_3-0-0_112083_2014-11-26_final
2014-11-26 11:36:27	ga_ls8c_ard_3-0-0_112084_2014-11-26_final
2014-12-01 11:51:00	ga_ls8c_ard_3-0-0_115074_2014-12-01_final
2014-12-03 11:40:13	ga_ls8c_ard_3-0-0_113078_2014-12-03_final
2014-12-03 11:40:37	ga_ls8c_ard_3-0-0_113079_2014-12-03_final
2014-12-03 11:41:01	ga_ls8c_ard_3-0-0_113080_2014-12-03_final
2014-12-03 11:41:25	ga_ls8c_ard_3-0-0_113081_2014-12-03_final
2014-12-03 11:41:49	ga_ls8c_ard_3-0-0_113082_2014-12-03_final
2014-12-03 11:42:13	ga_ls8c_ard_3-0-0_113083_2014-12-03_final
2014-12-17 11:50:55	ga_ls8c_ard_3-0-0_115074_2014-12-17_final
2015-01-04 11:40:05	ga_ls8c_ard_3-0-0_113078_2015-01-04_final
2015-01-04 11:40:29	ga_ls8c_ard_3-0-0_113079_2015-01-04_final
2015-01-04 11:40:53	ga_ls8c_ard_3-0-0_113080_2015-01-04_final
2015-01-04 11:41:17	ga_ls8c_ard_3-0-0_113081_2015-01-04_final
2015-01-04 11:41:41	ga_ls8c_ard_3-0-0_113082_2015-01-04_final
2015-01-04 11:42:05	ga_ls8c_ard_3-0-0_113083_2015-01-04_final
2015-01-20 11:40:02	ga_ls8c_ard_3-0-0_113078_2015-01-20_final
2015-01-20 11:40:25	ga_ls8c_ard_3-0-0_113079_2015-01-20_final
2015-01-20 11:40:49	ga_ls8c_ard_3-0-0_113080_2015-01-20_final
2015-01-20 11:41:13	ga_ls8c_ard_3-0-0_113081_2015-01-20_final
2015-01-20 11:41:37	ga_ls8c_ard_3-0-0_113082_2015-01-20_final
2015-01-20 11:42:01	ga_ls8c_ard_3-0-0_113083_2015-01-20_final
2015-02-21 11:39:51	ga_ls8c_ard_3-0-0_113078_2015-02-21_final
2015-02-21 11:40:15	ga_ls8c_ard_3-0-0_113079_2015-02-21_final
2015-02-21 11:40:39	ga_ls8c_ard_3-0-0_113080_2015-02-21_final
2015-02-21 11:41:03	ga_ls8c_ard_3-0-0_113081_2015-02-21_final
2015-02-21 11:41:27	ga_ls8c_ard_3-0-0_113082_2015-02-21_final
2015-02-21 11:41:51	ga_ls8c_ard_3-0-0_113083_2015-02-21_final
2015-03-07 11:50:30	ga_ls8c_ard_3-0-0_115074_2015-03-07_final
2015-03-09 11:39:43	ga_ls8c_ard_3-0-0_113078_2015-03-09_final
2015-03-09 11:40:07	ga_ls8c_ard_3-0-0_113079_2015-03-09_final
2015-03-09 11:40:31	ga_ls8c_ard_3-0-0_113080_2015-03-09_final
2015-03-09 11:40:54	ga_ls8c_ard_3-0-0_113081_2015-03-09_final
2015-03-09 11:41:18	ga_ls8c_ard_3-0-0_113082_2015-03-09_final
2015-03-09 11:41:42	ga_ls8c_ard_3-0-0_113083_2015-03-09_final
2015-04-10 11:39:25	ga_ls8c_ard_3-0-0_113078_2015-04-10_final
2015-04-10 11:39:49	ga_ls8c_ard_3-0-0_113079_2015-04-10_final
2015-04-10 11:40:13	ga_ls8c_ard_3-0-0_113080_2015-04-10_final
2015-04-10 11:40:37	ga_ls8c_ard_3-0-0_113081_2015-04-10_final
2015-04-10 11:41:00	ga_ls8c_ard_3-0-0_113082_2015-04-10_final
2015-04-10 11:41:24	ga_ls8c_ard_3-0-0_113083_2015-04-10_final
2015-05-12 11:39:05	ga_ls8c_ard_3-0-0_113078_2015-05-12_final
2015-05-12 11:39:29	ga_ls8c_ard_3-0-0_113079_2015-05-12_final
2015-05-12 11:39:53	ga_ls8c_ard_3-0-0_113080_2015-05-12_final
2015-05-12 11:40:17	ga_ls8c_ard_3-0-0_113081_2015-05-12_final
2015-05-12 11:40:41	ga_ls8c_ard_3-0-0_113082_2015-05-12_final
2015-05-12 11:41:05	ga_ls8c_ard_3-0-0_113083_2015-05-12_final
2017-10-15 11:44:55	ga_ls8c_ard_3-0-0_114074_2017-10-15_final
2017-10-15 11:45:19	ga_ls8c_ard_3-0-0_114075_2017-10-15_final
2017-10-17 11:35:45	ga_ls8c_ard_3-0-0_112082_2017-10-17_final
2017-10-17 11:36:09	ga_ls8c_ard_3-0-0_112083_2017-10-17_final
2017-10-17 11:36:33	ga_ls8c_ard_3-0-0_112084_2017-10-17_final
2017-10-17 11:36:57	ga_ls8c_ard_3-0-0_112085_2017-10-17_final
2018-02-22 11:35:13	ga_ls8c_ard_3-0-0_112082_2018-02-22_final
2018-02-22 11:35:37	ga_ls8c_ard_3-0-0_112083_2018-02-22_final
2018-02-22 11:36:01	ga_ls8c_ard_3-0-0_112084_2018-02-22_final
2018-02-22 11:36:25	ga_ls8c_ard_3-0-0_112085_2018-02-22_final
2018-03-08 11:44:16	ga_ls8c_ard_3-0-0_114074_2018-03-08_final
2018-03-08 11:44:40	ga_ls8c_ard_3-0-0_114075_2018-03-08_final
2018-03-08 11:45:04	ga_ls8c_ard_3-0-0_114076_2018-03-08_final
2018-03-08 11:45:28	ga_ls8c_ard_3-0-0_114077_2018-03-08_final
2018-03-08 11:45:52	ga_ls8c_ard_3-0-0_114078_2018-03-08_final
2018-03-08 11:46:16	ga_ls8c_ard_3-0-0_114079_2018-03-08_final
2018-03-10 11:35:05	ga_ls8c_ard_3-0-0_112082_2018-03-10_final
2018-03-10 11:35:29	ga_ls8c_ard_3-0-0_112083_2018-03-10_final
2018-03-10 11:35:52	ga_ls8c_ard_3-0-0_112084_2018-03-10_final
2018-03-10 11:36:16	ga_ls8c_ard_3-0-0_112085_2018-03-10_final
2018-03-31 11:49:52	ga_ls8c_ard_3-0-0_115073_2018-03-31_final
2018-03-31 11:50:16	ga_ls8c_ard_3-0-0_115074_2018-03-31_final
2018-04-02 11:39:29	ga_ls8c_ard_3-0-0_113078_2018-04-02_final
2018-04-02 11:39:53	ga_ls8c_ard_3-0-0_113079_2018-04-02_final
2018-04-02 11:40:17	ga_ls8c_ard_3-0-0_113080_2018-04-02_final
2018-04-02 11:40:41	ga_ls8c_ard_3-0-0_113081_2018-04-02_final
2018-04-02 11:41:05	ga_ls8c_ard_3-0-0_113082_2018-04-02_final
2018-04-02 11:41:29	ga_ls8c_ard_3-0-0_113083_2018-04-02_final
2018-05-02 11:49:34	ga_ls8c_ard_3-0-0_115073_2018-05-02_final
2018-05-02 11:49:58	ga_ls8c_ard_3-0-0_115074_2018-05-02_final
2018-05-04 11:39:11	ga_ls8c_ard_3-0-0_113078_2018-05-04_final
2018-05-04 11:39:35	ga_ls8c_ard_3-0-0_113079_2018-05-04_final
2018-05-04 11:39:59	ga_ls8c_ard_3-0-0_113080_2018-05-04_final
2018-05-04 11:40:23	ga_ls8c_ard_3-0-0_113081_2018-05-04_final
2018-05-04 11:40:47	ga_ls8c_ard_3-0-0_113082_2018-05-04_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