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
2014-07-12 11:41:06	ga_ls8c_ard_3-0-0_113081_2014-07-12_final
2014-07-12 11:41:30	ga_ls8c_ard_3-0-0_113082_2014-07-12_final
2014-07-12 11:41:54	ga_ls8c_ard_3-0-0_113083_2014-07-12_final
2014-07-28 11:41:09	ga_ls8c_ard_3-0-0_113081_2014-07-28_final
2014-07-28 11:41:33	ga_ls8c_ard_3-0-0_113082_2014-07-28_final
2014-07-28 11:41:57	ga_ls8c_ard_3-0-0_113083_2014-07-28_final
2014-07-28 11:42:21	ga_ls8c_ard_3-0-0_113084_2014-07-28_final
2014-08-13 11:41:18	ga_ls8c_ard_3-0-0_113081_2014-08-13_final
2014-08-13 11:41:42	ga_ls8c_ard_3-0-0_113082_2014-08-13_final
2014-08-13 11:42:06	ga_ls8c_ard_3-0-0_113083_2014-08-13_final
2014-08-13 11:42:30	ga_ls8c_ard_3-0-0_113084_2014-08-13_final
2014-08-22 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-08-22_final
2014-08-29 11:41:19	ga_ls8c_ard_3-0-0_113081_2014-08-29_final
2014-08-29 11:41:43	ga_ls8c_ard_3-0-0_113082_2014-08-29_final
2014-08-29 11:42:07	ga_ls8c_ard_3-0-0_113083_2014-08-29_final
2014-08-29 11:42:31	ga_ls8c_ard_3-0-0_113084_2014-08-29_final
2014-09-07 11:36:23	ga_ls8c_ard_3-0-0_112084_2014-09-07_final
2014-09-14 11:41:23	ga_ls8c_ard_3-0-0_113081_2014-09-14_final
2014-09-14 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-09-14_final
2014-09-14 11:42:11	ga_ls8c_ard_3-0-0_113083_2014-09-14_final
2014-09-14 11:42:35	ga_ls8c_ard_3-0-0_113084_2014-09-14_final
2014-09-30 11:41:23	ga_ls8c_ard_3-0-0_113081_2014-09-30_final
2014-09-30 11:41:47	ga_ls8c_ard_3-0-0_113082_2014-09-30_final
2014-09-30 11:42:11	ga_ls8c_ard_3-0-0_113083_2014-09-30_final
2014-09-30 11:42:35	ga_ls8c_ard_3-0-0_113084_2014-09-30_final
2014-12-19 11:41:22	ga_ls8c_ard_3-0-0_113081_2014-12-19_final
2014-12-19 11:41:46	ga_ls8c_ard_3-0-0_113082_2014-12-19_final
2014-12-19 11:42:10	ga_ls8c_ard_3-0-0_113083_2014-12-19_final
2014-12-19 11:42:34	ga_ls8c_ard_3-0-0_113084_2014-12-19_final
2015-03-16 11:45:25	ga_ls8c_ard_3-0-0_114077_2015-03-16_final
2015-03-16 11:45:49	ga_ls8c_ard_3-0-0_114078_2015-03-16_final
2015-03-16 11:46:13	ga_ls8c_ard_3-0-0_114079_2015-03-16_final
2015-03-16 11:46:37	ga_ls8c_ard_3-0-0_114080_2015-03-16_final
2015-03-16 11:47:01	ga_ls8c_ard_3-0-0_114081_2015-03-16_final
2015-03-18 11:35:51	ga_ls8c_ard_3-0-0_112084_2015-03-18_final
2015-06-20 11:44:44	ga_ls8c_ard_3-0-0_114076_2015-06-20_final
2015-06-20 11:45:08	ga_ls8c_ard_3-0-0_114077_2015-06-20_final
2015-06-20 11:45:32	ga_ls8c_ard_3-0-0_114078_2015-06-20_final
2015-06-20 11:45:56	ga_ls8c_ard_3-0-0_114079_2015-06-20_final
2015-06-20 11:46:20	ga_ls8c_ard_3-0-0_114080_2015-06-20_final
2015-06-20 11:46:44	ga_ls8c_ard_3-0-0_114081_2015-06-20_final
2015-06-22 11:35:34	ga_ls8c_ard_3-0-0_112084_2015-06-22_final
2015-06-22 11:35:58	ga_ls8c_ard_3-0-0_112085_2015-06-22_final
2016-05-28 11:50:03	ga_ls8c_ard_3-0-0_115073_2016-05-28_final
2016-05-28 11:50:27	ga_ls8c_ard_3-0-0_115074_2016-05-28_final
2016-05-28 11:50:51	ga_ls8c_ard_3-0-0_115075_2016-05-28_final
2016-05-28 11:51:15	ga_ls8c_ard_3-0-0_115076_2016-05-28_final
2016-05-28 11:51:39	ga_ls8c_ard_3-0-0_115077_2016-05-28_final
2016-05-28 11:52:03	ga_ls8c_ard_3-0-0_115078_2016-05-28_final
2016-05-30 11:40:54	ga_ls8c_ard_3-0-0_113081_2016-05-30_final
2016-05-30 11:41:17	ga_ls8c_ard_3-0-0_113082_2016-05-30_final
2016-05-30 11:41:41	ga_ls8c_ard_3-0-0_113083_2016-05-30_final
2016-05-30 11:42:05	ga_ls8c_ard_3-0-0_113084_2016-05-30_final
2016-06-13 11:50:06	ga_ls8c_ard_3-0-0_115073_2016-06-13_final
2016-06-13 11:50:30	ga_ls8c_ard_3-0-0_115074_2016-06-13_final
2016-06-13 11:50:54	ga_ls8c_ard_3-0-0_115075_2016-06-13_final
2016-06-13 11:51:18	ga_ls8c_ard_3-0-0_115076_2016-06-13_final
2016-06-13 11:51:42	ga_ls8c_ard_3-0-0_115077_2016-06-13_final
2016-06-13 11:52:06	ga_ls8c_ard_3-0-0_115078_2016-06-13_final
2016-06-15 11:40:56	ga_ls8c_ard_3-0-0_113081_2016-06-15_final
2016-06-15 11:41:20	ga_ls8c_ard_3-0-0_113082_2016-06-15_final
2016-06-15 11:41:44	ga_ls8c_ard_3-0-0_113083_2016-06-15_final
2016-06-15 11:42:08	ga_ls8c_ard_3-0-0_113084_2016-06-15_final
2016-06-29 11:50:14	ga_ls8c_ard_3-0-0_115073_2016-06-29_final
2016-06-29 11:50:38	ga_ls8c_ard_3-0-0_115074_2016-06-29_final
2016-06-29 11:51:02	ga_ls8c_ard_3-0-0_115075_2016-06-29_final
2016-06-29 11:51:26	ga_ls8c_ard_3-0-0_115076_2016-06-29_final
2016-06-29 11:51:50	ga_ls8c_ard_3-0-0_115077_2016-06-29_final
2016-06-29 11:52:14	ga_ls8c_ard_3-0-0_115078_2016-06-29_final
2016-07-15 11:50:22	ga_ls8c_ard_3-0-0_115073_2016-07-15_final
2016-07-15 11:50:45	ga_ls8c_ard_3-0-0_115074_2016-07-15_final
2016-07-15 11:51:09	ga_ls8c_ard_3-0-0_115075_2016-07-15_final
2016-07-15 11:51:33	ga_ls8c_ard_3-0-0_115076_2016-07-15_final
2016-07-15 11:51:57	ga_ls8c_ard_3-0-0_115077_2016-07-15_final
2016-07-15 11:52:21	ga_ls8c_ard_3-0-0_115078_2016-07-15_final
2016-07-17 11:41:12	ga_ls8c_ard_3-0-0_113081_2016-07-17_final
2016-07-17 11:41:36	ga_ls8c_ard_3-0-0_113082_2016-07-17_final
2016-07-17 11:42:00	ga_ls8c_ard_3-0-0_113083_2016-07-17_final
2016-07-17 11:42:24	ga_ls8c_ard_3-0-0_113084_2016-07-17_final
2016-09-01 11:50:36	ga_ls8c_ard_3-0-0_115073_2016-09-01_final
2016-09-01 11:50:59	ga_ls8c_ard_3-0-0_115074_2016-09-01_final
2016-09-01 11:51:23	ga_ls8c_ard_3-0-0_115075_2016-09-01_final
2016-09-01 11:51:47	ga_ls8c_ard_3-0-0_115076_2016-09-01_final
2016-09-01 11:52:11	ga_ls8c_ard_3-0-0_115077_2016-09-01_final
2016-09-01 11:52:35	ga_ls8c_ard_3-0-0_115078_2016-09-01_final
2016-09-03 11:41:26	ga_ls8c_ard_3-0-0_113081_2016-09-03_final
2016-09-03 11:41:50	ga_ls8c_ard_3-0-0_113082_2016-09-03_final
2016-09-03 11:42:14	ga_ls8c_ard_3-0-0_113083_2016-09-03_final
2016-09-03 11:42:38	ga_ls8c_ard_3-0-0_113084_2016-09-03_final
2019-08-18 11:45:34	ga_ls8c_ard_3-1-0_114076_2019-08-18_final
2019-08-18 11:45:58	ga_ls8c_ard_3-1-0_114077_2019-08-18_final
2019-08-18 11:46:22	ga_ls8c_ard_3-1-0_114078_2019-08-18_final
2019-08-18 11:46:46	ga_ls8c_ard_3-1-0_114079_2019-08-18_final
2019-08-18 11:47:10	ga_ls8c_ard_3-1-0_114080_2019-08-18_final
2019-08-18 11:47:34	ga_ls8c_ard_3-1-0_114081_2019-08-18_final
2019-08-20 11:36:25	ga_ls8c_ard_3-1-0_112084_2019-08-20_final
2019-08-20 11:36:49	ga_ls8c_ard_3-1-0_112085_2019-08-20_final
2019-10-30 11:41:38	ga_ls8c_ard_3-1-0_113081_2019-10-30_final
2019-10-30 11:42:02	ga_ls8c_ard_3-1-0_113082_2019-10-30_final
2019-10-30 11:42:26	ga_ls8c_ard_3-1-0_113083_2019-10-30_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