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
2014-08-04 11:46:13	ga_ls8c_ard_3-0-0_114078_2014-08-04_final
2014-08-04 11:46:37	ga_ls8c_ard_3-0-0_114079_2014-08-04_final
2014-08-04 11:47:01	ga_ls8c_ard_3-0-0_114080_2014-08-04_final
2014-08-04 11:47:25	ga_ls8c_ard_3-0-0_114081_2014-08-04_final
2014-09-21 11:46:20	ga_ls8c_ard_3-0-0_114078_2014-09-21_final
2014-09-21 11:46:44	ga_ls8c_ard_3-0-0_114079_2014-09-21_final
2014-09-21 11:47:08	ga_ls8c_ard_3-0-0_114080_2014-09-21_final
2014-09-21 11:47:32	ga_ls8c_ard_3-0-0_114081_2014-09-21_final
2014-10-14 11:51:02	ga_ls8c_ard_3-0-0_115074_2014-10-14_final
2014-10-14 11:51:26	ga_ls8c_ard_3-0-0_115075_2014-10-14_final
2014-10-14 11:51:50	ga_ls8c_ard_3-0-0_115076_2014-10-14_final
2014-10-14 11:52:14	ga_ls8c_ard_3-0-0_115077_2014-10-14_final
2014-10-14 11:52:38	ga_ls8c_ard_3-0-0_115078_2014-10-14_final
2014-10-14 11:53:02	ga_ls8c_ard_3-0-0_115079_2014-10-14_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
2014-10-16 11:42:40	ga_ls8c_ard_3-0-0_113084_2014-10-16_final
2014-10-30 11:50:58	ga_ls8c_ard_3-0-0_115074_2014-10-30_final
2014-10-30 11:51:22	ga_ls8c_ard_3-0-0_115075_2014-10-30_final
2014-10-30 11:51:45	ga_ls8c_ard_3-0-0_115076_2014-10-30_final
2014-10-30 11:52:09	ga_ls8c_ard_3-0-0_115077_2014-10-30_final
2014-10-30 11:52:33	ga_ls8c_ard_3-0-0_115078_2014-10-30_final
2014-10-30 11:52:57	ga_ls8c_ard_3-0-0_115079_2014-10-30_final
2014-11-01 11:41:49	ga_ls8c_ard_3-0-0_113082_2014-11-01_final
2014-11-01 11:42:13	ga_ls8c_ard_3-0-0_113083_2014-11-01_final
2014-11-01 11:42:37	ga_ls8c_ard_3-0-0_113084_2014-11-01_final
2014-11-17 11:41:50	ga_ls8c_ard_3-0-0_113082_2014-11-17_final
2014-11-17 11:42:14	ga_ls8c_ard_3-0-0_113083_2014-11-17_final
2014-11-17 11:42:38	ga_ls8c_ard_3-0-0_113084_2014-11-17_final
2017-09-22 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-09-22_final
2017-09-22 11:42:12	ga_ls8c_ard_3-0-0_113083_2017-09-22_final
2017-09-22 11:42:36	ga_ls8c_ard_3-0-0_113084_2017-09-22_final
2017-09-29 11:46:27	ga_ls8c_ard_3-0-0_114078_2017-09-29_final
2017-09-29 11:46:51	ga_ls8c_ard_3-0-0_114079_2017-09-29_final
2017-09-29 11:47:15	ga_ls8c_ard_3-0-0_114080_2017-09-29_final
2017-09-29 11:47:38	ga_ls8c_ard_3-0-0_114081_2017-09-29_final
2017-11-23 11:50:36	ga_ls8c_ard_3-0-0_115073_2017-11-23_final
2017-11-23 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-11-23_final
2017-11-23 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-11-23_final
2017-11-23 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-11-23_final
2017-11-23 11:52:12	ga_ls8c_ard_3-0-0_115077_2017-11-23_final
2017-11-23 11:52:36	ga_ls8c_ard_3-0-0_115078_2017-11-23_final
2017-11-23 11:53:00	ga_ls8c_ard_3-0-0_115079_2017-11-23_final
2017-11-25 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-11-25_final
2017-11-25 11:42:13	ga_ls8c_ard_3-0-0_113083_2017-11-25_final
2017-11-25 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-11-25_final
2017-12-25 11:50:36	ga_ls8c_ard_3-0-0_115073_2017-12-25_final
2017-12-25 11:51:00	ga_ls8c_ard_3-0-0_115074_2017-12-25_final
2017-12-25 11:51:24	ga_ls8c_ard_3-0-0_115075_2017-12-25_final
2017-12-25 11:51:48	ga_ls8c_ard_3-0-0_115076_2017-12-25_final
2017-12-25 11:52:11	ga_ls8c_ard_3-0-0_115077_2017-12-25_final
2017-12-25 11:52:35	ga_ls8c_ard_3-0-0_115078_2017-12-25_final
2017-12-25 11:52:59	ga_ls8c_ard_3-0-0_115079_2017-12-25_final
2017-12-27 11:41:49	ga_ls8c_ard_3-0-0_113082_2017-12-27_final
2017-12-27 11:42:13	ga_ls8c_ard_3-0-0_113083_2017-12-27_final
2017-12-27 11:42:37	ga_ls8c_ard_3-0-0_113084_2017-12-27_final
2018-01-10 11:50:30	ga_ls8c_ard_3-0-0_115073_2018-01-10_final
2018-01-10 11:50:54	ga_ls8c_ard_3-0-0_115074_2018-01-10_final
2018-01-10 11:51:18	ga_ls8c_ard_3-0-0_115075_2018-01-10_final
2018-01-10 11:51:42	ga_ls8c_ard_3-0-0_115076_2018-01-10_final
2018-01-10 11:52:06	ga_ls8c_ard_3-0-0_115077_2018-01-10_final
2018-01-10 11:52:30	ga_ls8c_ard_3-0-0_115078_2018-01-10_final
2018-01-10 11:52:54	ga_ls8c_ard_3-0-0_115079_2018-01-10_final
2018-01-12 11:41:43	ga_ls8c_ard_3-0-0_113082_2018-01-12_final
2018-01-12 11:42:07	ga_ls8c_ard_3-0-0_113083_2018-01-12_final
2018-01-12 11:42:31	ga_ls8c_ard_3-0-0_113084_2018-01-12_final
2018-01-26 11:50:21	ga_ls8c_ard_3-0-0_115073_2018-01-26_final
2018-01-26 11:50:45	ga_ls8c_ard_3-0-0_115074_2018-01-26_final
2018-01-26 11:51:09	ga_ls8c_ard_3-0-0_115075_2018-01-26_final
2018-01-28 11:41:34	ga_ls8c_ard_3-0-0_113082_2018-01-28_final
2018-01-28 11:41:58	ga_ls8c_ard_3-0-0_113083_2018-01-28_final
2018-01-28 11:42:22	ga_ls8c_ard_3-0-0_113084_2018-01-28_final
2018-02-27 11:50:32	ga_ls8c_ard_3-0-0_115074_2018-02-27_final
2018-02-27 11:50:56	ga_ls8c_ard_3-0-0_115075_2018-02-27_final
2018-02-27 11:51:19	ga_ls8c_ard_3-0-0_115076_2018-02-27_final
2018-02-27 11:51:43	ga_ls8c_ard_3-0-0_115077_2018-02-27_final
2018-02-27 11:52:07	ga_ls8c_ard_3-0-0_115078_2018-02-27_final
2018-02-27 11:52:31	ga_ls8c_ard_3-0-0_115079_2018-02-27_final
2018-03-01 11:41:21	ga_ls8c_ard_3-0-0_113082_2018-03-01_final
2018-03-01 11:41:44	ga_ls8c_ard_3-0-0_113083_2018-03-01_final
2018-03-01 11:42:08	ga_ls8c_ard_3-0-0_113084_2018-03-01_final
2018-05-18 11:49:23	ga_ls8c_ard_3-0-0_115073_2018-05-18_final
2018-05-18 11:49:47	ga_ls8c_ard_3-0-0_115074_2018-05-18_final
2018-05-18 11:50:11	ga_ls8c_ard_3-0-0_115075_2018-05-18_final
2018-05-18 11:50:35	ga_ls8c_ard_3-0-0_115076_2018-05-18_final
2018-05-18 11:50:59	ga_ls8c_ard_3-0-0_115077_2018-05-18_final
2018-05-18 11:51:23	ga_ls8c_ard_3-0-0_115078_2018-05-18_final
2018-05-18 11:51:47	ga_ls8c_ard_3-0-0_115079_2018-05-18_final
2018-05-20 11:40:35	ga_ls8c_ard_3-0-0_113082_2018-05-20_final
2018-05-20 11:40:59	ga_ls8c_ard_3-0-0_113083_2018-05-20_final
2018-05-20 11:41:23	ga_ls8c_ard_3-0-0_113084_2018-05-20_final
2018-07-05 11:49:30	ga_ls8c_ard_3-0-0_115073_2018-07-05_final
2018-07-05 11:49:54	ga_ls8c_ard_3-0-0_115074_2018-07-05_final
2018-07-05 11:50:18	ga_ls8c_ard_3-0-0_115075_2018-07-05_final
2018-07-05 11:50:42	ga_ls8c_ard_3-0-0_115076_2018-07-05_final
2018-07-05 11:51:06	ga_ls8c_ard_3-0-0_115077_2018-07-05_final
2018-07-05 11:51:30	ga_ls8c_ard_3-0-0_115078_2018-07-05_final
2018-07-05 11:51:54	ga_ls8c_ard_3-0-0_115079_2018-07-05_final
2018-07-07 11:40:45	ga_ls8c_ard_3-0-0_113082_2018-07-07_final
2018-07-07 11:41:09	ga_ls8c_ard_3-0-0_113083_2018-07-07_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