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
2014-11-26 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
2014-12-03 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
2014-12-12 11:35:32	ga_ls8c_ard_3-0-0_112082_2014-12-12_final
2014-12-12 11:35:56	ga_ls8c_ard_3-0-0_112083_2014-12-12_final
2014-12-12 11:36:20	ga_ls8c_ard_3-0-0_112084_2014-12-12_final
2014-12-19 11:40:10	ga_ls8c_ard_3-0-0_113078_2014-12-19_final
2014-12-19 11:40:34	ga_ls8c_ard_3-0-0_113079_2014-12-19_final
2014-12-19 11:40:58	ga_ls8c_ard_3-0-0_113080_2014-12-19_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
2014-12-26 11:44:43	ga_ls8c_ard_3-0-0_114074_2014-12-26_final
2014-12-26 11:45:07	ga_ls8c_ard_3-0-0_114075_2014-12-26_final
2014-12-26 11:45:31	ga_ls8c_ard_3-0-0_114076_2014-12-26_final
2014-12-26 11:45:55	ga_ls8c_ard_3-0-0_114077_2014-12-26_final
2014-12-26 11:46:19	ga_ls8c_ard_3-0-0_114078_2014-12-26_final
2014-12-26 11:46:43	ga_ls8c_ard_3-0-0_114079_2014-12-26_final
2015-01-29 11:35:25	ga_ls8c_ard_3-0-0_112082_2015-01-29_final
2015-01-29 11:35:49	ga_ls8c_ard_3-0-0_112083_2015-01-29_final
2015-01-29 11:36:13	ga_ls8c_ard_3-0-0_112084_2015-01-29_final
2015-02-12 11:44:28	ga_ls8c_ard_3-0-0_114074_2015-02-12_final
2015-02-12 11:44:52	ga_ls8c_ard_3-0-0_114075_2015-02-12_final
2015-02-12 11:45:15	ga_ls8c_ard_3-0-0_114076_2015-02-12_final
2015-02-12 11:45:39	ga_ls8c_ard_3-0-0_114077_2015-02-12_final
2015-02-12 11:46:03	ga_ls8c_ard_3-0-0_114078_2015-02-12_final
2015-02-12 11:46:27	ga_ls8c_ard_3-0-0_114079_2015-02-12_final
2015-02-14 11:35:15	ga_ls8c_ard_3-0-0_112082_2015-02-14_final
2015-02-14 11:35:39	ga_ls8c_ard_3-0-0_112083_2015-02-14_final
2015-02-14 11:36:03	ga_ls8c_ard_3-0-0_112084_2015-02-14_final
2015-02-19 11:50:37	ga_ls8c_ard_3-0-0_115074_2015-02-19_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
2015-03-11 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-03-11_final
2015-03-23 11:49:57	ga_ls8c_ard_3-0-0_115073_2015-03-23_final
2015-03-23 11:50:21	ga_ls8c_ard_3-0-0_115074_2015-03-23_final
2015-04-08 11:49:47	ga_ls8c_ard_3-0-0_115073_2015-04-08_final
2015-04-08 11:50:11	ga_ls8c_ard_3-0-0_115074_2015-04-08_final
2015-04-28 11:29:45	ga_ls8c_ard_3-0-0_111085_2015-04-28_final
2015-05-14 11:29:29	ga_ls8c_ard_3-0-0_111085_2015-05-14_final
2015-06-27 11:49:45	ga_ls8c_ard_3-0-0_115073_2015-06-27_final
2015-06-27 11:50:09	ga_ls8c_ard_3-0-0_115074_2015-06-27_final
2015-06-29 11:39:25	ga_ls8c_ard_3-0-0_113078_2015-06-29_final
2015-06-29 11:39:49	ga_ls8c_ard_3-0-0_113079_2015-06-29_final
2015-06-29 11:40:13	ga_ls8c_ard_3-0-0_113080_2015-06-29_final
2015-06-29 11:40:37	ga_ls8c_ard_3-0-0_113081_2015-06-29_final
2015-06-29 11:41:01	ga_ls8c_ard_3-0-0_113082_2015-06-29_final
2015-06-29 11:41:25	ga_ls8c_ard_3-0-0_113083_2015-06-29_final
2015-07-17 11:30:02	ga_ls8c_ard_3-0-0_111085_2015-07-17_final
2015-07-24 11:35:03	ga_ls8c_ard_3-0-0_112082_2015-07-24_final
2015-07-24 11:35:27	ga_ls8c_ard_3-0-0_112083_2015-07-24_final
2015-07-24 11:35:51	ga_ls8c_ard_3-0-0_112084_2015-07-24_final
2015-07-24 11:36:15	ga_ls8c_ard_3-0-0_112085_2015-07-24_final
2015-08-02 11:30:06	ga_ls8c_ard_3-0-0_111085_2015-08-02_final
2015-08-14 11:50:06	ga_ls8c_ard_3-0-0_115073_2015-08-14_final
2015-08-14 11:50:30	ga_ls8c_ard_3-0-0_115074_2015-08-14_final
2015-08-16 11:39:46	ga_ls8c_ard_3-0-0_113078_2015-08-16_final
2015-08-16 11:40:10	ga_ls8c_ard_3-0-0_113079_2015-08-16_final
2015-08-16 11:40:33	ga_ls8c_ard_3-0-0_113080_2015-08-16_final
2015-08-16 11:40:57	ga_ls8c_ard_3-0-0_113081_2015-08-16_final
2015-08-16 11:41:21	ga_ls8c_ard_3-0-0_113082_2015-08-16_final
2015-08-16 11:41:45	ga_ls8c_ard_3-0-0_113083_2015-08-16_final
2019-02-23 11:43:56	ga_ls8c_ard_3-0-0_114073_2019-02-23_final
2019-02-23 11:44:20	ga_ls8c_ard_3-0-0_114074_2019-02-23_final
2019-02-23 11:44:44	ga_ls8c_ard_3-0-0_114075_2019-02-23_final
2019-02-23 11:45:08	ga_ls8c_ard_3-0-0_114076_2019-02-23_final
2019-02-23 11:45:32	ga_ls8c_ard_3-0-0_114077_2019-02-23_final
2019-02-23 11:45:56	ga_ls8c_ard_3-0-0_114078_2019-02-23_final
2019-02-23 11:46:20	ga_ls8c_ard_3-0-0_114079_2019-02-23_final
2019-04-12 11:43:43	ga_ls8c_ard_3-1-0_114073_2019-04-12_final
2019-04-12 11:44:07	ga_ls8c_ard_3-1-0_114074_2019-04-12_final
2019-04-12 11:44:30	ga_ls8c_ard_3-1-0_114075_2019-04-12_final
2019-04-12 11:44:54	ga_ls8c_ard_3-1-0_114076_2019-04-12_final
2019-04-12 11:45:18	ga_ls8c_ard_3-1-0_114077_2019-04-12_final
2019-04-12 11:45:42	ga_ls8c_ard_3-1-0_114078_2019-04-12_final
2019-04-12 11:46:06	ga_ls8c_ard_3-1-0_114079_2019-04-12_final
2019-05-14 11:43:47	ga_ls8c_ard_3-0-0_114073_2019-05-14_final
2019-05-14 11:44:11	ga_ls8c_ard_3-0-0_114074_2019-05-14_final
2019-05-14 11:44:35	ga_ls8c_ard_3-0-0_114075_2019-05-14_final
2019-05-14 11:44:59	ga_ls8c_ard_3-0-0_114076_2019-05-14_final
2019-05-14 11:45:23	ga_ls8c_ard_3-0-0_114077_2019-05-14_final
2019-05-14 11:45:47	ga_ls8c_ard_3-0-0_114078_2019-05-14_final
2019-05-14 11:46:11	ga_ls8c_ard_3-0-0_114079_2019-05-14_final
2019-05-30 11:43:56	ga_ls8c_ard_3-0-0_114073_2019-05-30_final
2019-05-30 11:44:20	ga_ls8c_ard_3-0-0_114074_2019-05-30_final
2019-05-30 11:44:44	ga_ls8c_ard_3-0-0_114075_2019-05-30_final
2019-05-30 11:45:08	ga_ls8c_ard_3-0-0_114076_2019-05-30_final
2019-05-30 11:45:32	ga_ls8c_ard_3-0-0_114077_2019-05-30_final
2019-05-30 11:45:56	ga_ls8c_ard_3-0-0_114078_2019-05-30_final
2019-05-30 11:46:20	ga_ls8c_ard_3-0-0_114079_2019-05-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years