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
2016-05-16 11:29:38	ga_ls8c_ard_3-0-0_111084_2016-05-16_final
2016-05-16 11:30:02	ga_ls8c_ard_3-0-0_111085_2016-05-16_final
2016-05-21 11:44:13	ga_ls8c_ard_3-0-0_114074_2016-05-21_final
2016-05-21 11:44:37	ga_ls8c_ard_3-0-0_114075_2016-05-21_final
2016-05-21 11:45:01	ga_ls8c_ard_3-0-0_114076_2016-05-21_final
2016-05-21 11:45:25	ga_ls8c_ard_3-0-0_114077_2016-05-21_final
2016-05-21 11:45:49	ga_ls8c_ard_3-0-0_114078_2016-05-21_final
2016-07-01 11:39:29	ga_ls8c_ard_3-0-0_113077_2016-07-01_final
2016-07-01 11:39:53	ga_ls8c_ard_3-0-0_113078_2016-07-01_final
2016-07-01 11:40:17	ga_ls8c_ard_3-0-0_113079_2016-07-01_final
2016-07-01 11:40:41	ga_ls8c_ard_3-0-0_113080_2016-07-01_final
2016-07-01 11:41:05	ga_ls8c_ard_3-0-0_113081_2016-07-01_final
2016-07-01 11:41:29	ga_ls8c_ard_3-0-0_113082_2016-07-01_final
2016-07-03 11:30:20	ga_ls8c_ard_3-0-0_111085_2016-07-03_final
2016-08-02 11:39:40	ga_ls8c_ard_3-0-0_113077_2016-08-02_final
2016-08-02 11:40:04	ga_ls8c_ard_3-0-0_113078_2016-08-02_final
2016-08-02 11:40:28	ga_ls8c_ard_3-0-0_113079_2016-08-02_final
2016-08-02 11:40:52	ga_ls8c_ard_3-0-0_113080_2016-08-02_final
2016-08-02 11:41:16	ga_ls8c_ard_3-0-0_113081_2016-08-02_final
2016-08-02 11:41:40	ga_ls8c_ard_3-0-0_113082_2016-08-02_final
2016-08-04 11:30:30	ga_ls8c_ard_3-0-0_111085_2016-08-04_final
2016-08-18 11:39:44	ga_ls8c_ard_3-0-0_113077_2016-08-18_final
2016-08-18 11:40:08	ga_ls8c_ard_3-0-0_113078_2016-08-18_final
2016-08-18 11:40:32	ga_ls8c_ard_3-0-0_113079_2016-08-18_final
2016-08-18 11:40:56	ga_ls8c_ard_3-0-0_113080_2016-08-18_final
2016-08-18 11:41:20	ga_ls8c_ard_3-0-0_113081_2016-08-18_final
2016-08-18 11:41:44	ga_ls8c_ard_3-0-0_113082_2016-08-18_final
2016-08-20 11:30:35	ga_ls8c_ard_3-0-0_111085_2016-08-20_final
2017-10-08 11:39:55	ga_ls8c_ard_3-0-0_113077_2017-10-08_final
2017-10-08 11:40:19	ga_ls8c_ard_3-0-0_113078_2017-10-08_final
2017-10-08 11:40:43	ga_ls8c_ard_3-0-0_113079_2017-10-08_final
2017-10-08 11:41:07	ga_ls8c_ard_3-0-0_113080_2017-10-08_final
2017-10-08 11:41:30	ga_ls8c_ard_3-0-0_113081_2017-10-08_final
2017-10-08 11:41:54	ga_ls8c_ard_3-0-0_113082_2017-10-08_final
2017-10-10 11:30:21	ga_ls8c_ard_3-0-0_111084_2017-10-10_final
2017-10-10 11:30:45	ga_ls8c_ard_3-0-0_111085_2017-10-10_final
2017-11-07 11:50:41	ga_ls8c_ard_3-0-0_115073_2017-11-07_final
2017-11-09 11:39:55	ga_ls8c_ard_3-0-0_113077_2017-11-09_final
2017-11-09 11:40:19	ga_ls8c_ard_3-0-0_113078_2017-11-09_final
2017-11-09 11:40:43	ga_ls8c_ard_3-0-0_113079_2017-11-09_final
2017-11-09 11:41:07	ga_ls8c_ard_3-0-0_113080_2017-11-09_final
2017-11-09 11:41:31	ga_ls8c_ard_3-0-0_113081_2017-11-09_final
2017-11-09 11:41:55	ga_ls8c_ard_3-0-0_113082_2017-11-09_final
2017-11-23 11:50:36	ga_ls8c_ard_3-0-0_115073_2017-11-23_final
2017-11-25 11:39:49	ga_ls8c_ard_3-0-0_113077_2017-11-25_final
2017-11-25 11:40:13	ga_ls8c_ard_3-0-0_113078_2017-11-25_final
2017-11-25 11:40:37	ga_ls8c_ard_3-0-0_113079_2017-11-25_final
2017-11-25 11:41:01	ga_ls8c_ard_3-0-0_113080_2017-11-25_final
2017-11-25 11:41:25	ga_ls8c_ard_3-0-0_113081_2017-11-25_final
2017-11-25 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-11-25_final
2017-12-25 11:50:36	ga_ls8c_ard_3-0-0_115073_2017-12-25_final
2017-12-27 11:39:49	ga_ls8c_ard_3-0-0_113077_2017-12-27_final
2017-12-27 11:40:13	ga_ls8c_ard_3-0-0_113078_2017-12-27_final
2017-12-27 11:40:37	ga_ls8c_ard_3-0-0_113079_2017-12-27_final
2017-12-27 11:41:01	ga_ls8c_ard_3-0-0_113080_2017-12-27_final
2017-12-27 11:41:25	ga_ls8c_ard_3-0-0_113081_2017-12-27_final
2017-12-27 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-12-27_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
2018-02-15 11:30:17	ga_ls8c_ard_3-0-0_111085_2018-02-15_final
2018-02-27 11:50:08	ga_ls8c_ard_3-0-0_115073_2018-02-27_final
2018-03-01 11:39:21	ga_ls8c_ard_3-0-0_113077_2018-03-01_final
2018-03-01 11:39:45	ga_ls8c_ard_3-0-0_113078_2018-03-01_final
2018-03-01 11:40:09	ga_ls8c_ard_3-0-0_113079_2018-03-01_final
2018-03-01 11:40:33	ga_ls8c_ard_3-0-0_113080_2018-03-01_final
2018-03-01 11:40:57	ga_ls8c_ard_3-0-0_113081_2018-03-01_final
2018-03-01 11:41:21	ga_ls8c_ard_3-0-0_113082_2018-03-01_final
2018-03-03 11:30:10	ga_ls8c_ard_3-0-0_111085_2018-03-03_final
2018-04-16 11:49:43	ga_ls8c_ard_3-0-0_115073_2018-04-16_final
2018-04-18 11:38:56	ga_ls8c_ard_3-0-0_113077_2018-04-18_final
2018-04-18 11:39:19	ga_ls8c_ard_3-0-0_113078_2018-04-18_final
2018-04-18 11:39:43	ga_ls8c_ard_3-0-0_113079_2018-04-18_final
2018-04-18 11:40:07	ga_ls8c_ard_3-0-0_113080_2018-04-18_final
2018-04-18 11:40:31	ga_ls8c_ard_3-0-0_113081_2018-04-18_final
2018-04-18 11:40:55	ga_ls8c_ard_3-0-0_113082_2018-04-18_final
2018-04-20 11:29:44	ga_ls8c_ard_3-0-0_111085_2018-04-20_final
2018-06-19 11:49:21	ga_ls8c_ard_3-0-0_115073_2018-06-19_final
2018-06-21 11:38:36	ga_ls8c_ard_3-0-0_113077_2018-06-21_final
2018-06-21 11:39:00	ga_ls8c_ard_3-0-0_113078_2018-06-21_final
2018-06-21 11:39:24	ga_ls8c_ard_3-0-0_113079_2018-06-21_final
2018-06-21 11:39:48	ga_ls8c_ard_3-0-0_113080_2018-06-21_final
2018-06-21 11:40:12	ga_ls8c_ard_3-0-0_113081_2018-06-21_final
2018-06-21 11:40:36	ga_ls8c_ard_3-0-0_113082_2018-06-21_final
2018-06-23 11:29:03	ga_ls8c_ard_3-0-0_111084_2018-06-23_final
2018-06-23 11:29:27	ga_ls8c_ard_3-0-0_111085_2018-06-23_final
2018-07-05 11:49:30	ga_ls8c_ard_3-0-0_115073_2018-07-05_final
2018-07-07 11:38:45	ga_ls8c_ard_3-0-0_113077_2018-07-07_final
2018-07-07 11:39:09	ga_ls8c_ard_3-0-0_113078_2018-07-07_final
2018-07-07 11:39:33	ga_ls8c_ard_3-0-0_113079_2018-07-07_final
2018-07-07 11:39:57	ga_ls8c_ard_3-0-0_113080_2018-07-07_final
2018-07-07 11:40:21	ga_ls8c_ard_3-0-0_113081_2018-07-07_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-07-09 11:29:36	ga_ls8c_ard_3-0-0_111085_2018-07-09_final
2019-12-01 11:39:58	ga_ls8c_ard_3-1-0_113077_2019-12-01_final
2019-12-01 11:40:22	ga_ls8c_ard_3-1-0_113078_2019-12-01_final
2019-12-01 11:40:46	ga_ls8c_ard_3-1-0_113079_2019-12-01_final
2019-12-01 11:41:10	ga_ls8c_ard_3-1-0_113080_2019-12-01_final
2019-12-01 11:41:34	ga_ls8c_ard_3-1-0_113081_2019-12-01_final
2019-12-01 11:41:57	ga_ls8c_ard_3-1-0_113082_2019-12-01_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