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
2014-02-18 11:40:52	ga_ls8c_ard_3-0-0_113078_2014-02-18_final
2014-02-18 11:41:16	ga_ls8c_ard_3-0-0_113079_2014-02-18_final
2014-02-18 11:41:40	ga_ls8c_ard_3-0-0_113080_2014-02-18_final
2014-02-18 11:42:04	ga_ls8c_ard_3-0-0_113081_2014-02-18_final
2014-02-18 11:42:28	ga_ls8c_ard_3-0-0_113082_2014-02-18_final
2014-02-18 11:42:51	ga_ls8c_ard_3-0-0_113083_2014-02-18_final
2014-02-25 11:45:21	ga_ls8c_ard_3-0-0_114074_2014-02-25_final
2014-02-25 11:45:45	ga_ls8c_ard_3-0-0_114075_2014-02-25_final
2014-02-25 11:46:09	ga_ls8c_ard_3-0-0_114076_2014-02-25_final
2014-02-25 11:46:33	ga_ls8c_ard_3-0-0_114077_2014-02-25_final
2014-02-25 11:46:57	ga_ls8c_ard_3-0-0_114078_2014-02-25_final
2014-02-25 11:47:21	ga_ls8c_ard_3-0-0_114079_2014-02-25_final
2014-02-27 11:36:08	ga_ls8c_ard_3-0-0_112082_2014-02-27_final
2014-02-27 11:36:32	ga_ls8c_ard_3-0-0_112083_2014-02-27_final
2014-02-27 11:36:56	ga_ls8c_ard_3-0-0_112084_2014-02-27_final
2014-03-20 11:51:14	ga_ls8c_ard_3-0-0_115074_2014-03-20_final
2014-03-22 11:40:26	ga_ls8c_ard_3-0-0_113078_2014-03-22_final
2014-03-22 11:40:50	ga_ls8c_ard_3-0-0_113079_2014-03-22_final
2014-03-22 11:41:14	ga_ls8c_ard_3-0-0_113080_2014-03-22_final
2014-03-22 11:41:38	ga_ls8c_ard_3-0-0_113081_2014-03-22_final
2014-03-22 11:42:02	ga_ls8c_ard_3-0-0_113082_2014-03-22_final
2014-03-22 11:42:26	ga_ls8c_ard_3-0-0_113083_2014-03-22_final
2014-04-14 11:44:37	ga_ls8c_ard_3-0-0_114074_2014-04-14_final
2014-04-14 11:45:01	ga_ls8c_ard_3-0-0_114075_2014-04-14_final
2014-04-14 11:45:25	ga_ls8c_ard_3-0-0_114076_2014-04-14_final
2014-04-14 11:45:49	ga_ls8c_ard_3-0-0_114077_2014-04-14_final
2014-04-14 11:46:13	ga_ls8c_ard_3-0-0_114078_2014-04-14_final
2014-04-14 11:46:37	ga_ls8c_ard_3-0-0_114079_2014-04-14_final
2014-04-16 11:35:24	ga_ls8c_ard_3-0-0_112082_2014-04-16_final
2014-04-16 11:35:48	ga_ls8c_ard_3-0-0_112083_2014-04-16_final
2014-04-16 11:36:12	ga_ls8c_ard_3-0-0_112084_2014-04-16_final
2014-04-21 11:50:42	ga_ls8c_ard_3-0-0_115074_2014-04-21_final
2014-05-16 11:44:34	ga_ls8c_ard_3-0-0_114075_2014-05-16_final
2014-05-16 11:44:58	ga_ls8c_ard_3-0-0_114076_2014-05-16_final
2014-05-16 11:45:22	ga_ls8c_ard_3-0-0_114077_2014-05-16_final
2014-05-16 11:45:46	ga_ls8c_ard_3-0-0_114078_2014-05-16_final
2014-05-16 11:46:09	ga_ls8c_ard_3-0-0_114079_2014-05-16_final
2014-05-18 11:34:59	ga_ls8c_ard_3-0-0_112082_2014-05-18_final
2014-05-18 11:35:23	ga_ls8c_ard_3-0-0_112083_2014-05-18_final
2014-05-18 11:35:47	ga_ls8c_ard_3-0-0_112084_2014-05-18_final
2014-06-08 11:50:29	ga_ls8c_ard_3-0-0_115074_2014-06-08_final
2014-07-03 11:44:25	ga_ls8c_ard_3-0-0_114074_2014-07-03_final
2014-07-03 11:44:49	ga_ls8c_ard_3-0-0_114075_2014-07-03_final
2014-07-03 11:45:13	ga_ls8c_ard_3-0-0_114076_2014-07-03_final
2014-07-03 11:45:37	ga_ls8c_ard_3-0-0_114077_2014-07-03_final
2014-07-03 11:46:01	ga_ls8c_ard_3-0-0_114078_2014-07-03_final
2014-07-03 11:46:25	ga_ls8c_ard_3-0-0_114079_2014-07-03_final
2014-07-05 11:35:16	ga_ls8c_ard_3-0-0_112082_2014-07-05_final
2014-07-05 11:35:40	ga_ls8c_ard_3-0-0_112083_2014-07-05_final
2014-07-05 11:36:04	ga_ls8c_ard_3-0-0_112084_2014-07-05_final
2014-07-10 11:50:40	ga_ls8c_ard_3-0-0_115074_2014-07-10_final
2015-10-10 11:44:38	ga_ls8c_ard_3-0-0_114074_2015-10-10_final
2015-10-10 11:45:02	ga_ls8c_ard_3-0-0_114075_2015-10-10_final
2015-10-10 11:45:26	ga_ls8c_ard_3-0-0_114076_2015-10-10_final
2015-10-10 11:45:50	ga_ls8c_ard_3-0-0_114077_2015-10-10_final
2015-10-10 11:46:14	ga_ls8c_ard_3-0-0_114078_2015-10-10_final
2015-10-10 11:46:38	ga_ls8c_ard_3-0-0_114079_2015-10-10_final
2015-11-04 11:40:09	ga_ls8c_ard_3-0-0_113078_2015-11-04_final
2015-11-04 11:40:33	ga_ls8c_ard_3-0-0_113079_2015-11-04_final
2015-11-04 11:40:57	ga_ls8c_ard_3-0-0_113080_2015-11-04_final
2015-11-04 11:41:21	ga_ls8c_ard_3-0-0_113081_2015-11-04_final
2015-11-04 11:41:45	ga_ls8c_ard_3-0-0_113082_2015-11-04_final
2015-11-04 11:42:09	ga_ls8c_ard_3-0-0_113083_2015-11-04_final
2015-11-11 11:44:44	ga_ls8c_ard_3-0-0_114074_2015-11-11_final
2015-11-11 11:45:08	ga_ls8c_ard_3-0-0_114075_2015-11-11_final
2015-11-11 11:45:32	ga_ls8c_ard_3-0-0_114076_2015-11-11_final
2015-11-11 11:45:56	ga_ls8c_ard_3-0-0_114077_2015-11-11_final
2015-11-11 11:46:20	ga_ls8c_ard_3-0-0_114078_2015-11-11_final
2015-11-11 11:46:43	ga_ls8c_ard_3-0-0_114079_2015-11-11_final
2017-03-23 11:35:05	ga_ls8c_ard_3-0-0_112082_2017-03-23_final
2017-03-23 11:35:29	ga_ls8c_ard_3-0-0_112083_2017-03-23_final
2017-03-23 11:35:53	ga_ls8c_ard_3-0-0_112084_2017-03-23_final
2017-03-23 11:36:17	ga_ls8c_ard_3-0-0_112085_2017-03-23_final
2017-04-01 11:30:03	ga_ls8c_ard_3-0-0_111085_2017-04-01_final
2017-04-08 11:34:59	ga_ls8c_ard_3-0-0_112082_2017-04-08_final
2017-04-08 11:35:23	ga_ls8c_ard_3-0-0_112083_2017-04-08_final
2017-04-08 11:35:47	ga_ls8c_ard_3-0-0_112084_2017-04-08_final
2017-04-08 11:36:11	ga_ls8c_ard_3-0-0_112085_2017-04-08_final
2017-04-24 11:34:49	ga_ls8c_ard_3-0-0_112082_2017-04-24_final
2017-04-24 11:35:13	ga_ls8c_ard_3-0-0_112083_2017-04-24_final
2017-04-24 11:35:37	ga_ls8c_ard_3-0-0_112084_2017-04-24_final
2017-04-24 11:36:01	ga_ls8c_ard_3-0-0_112085_2017-04-24_final
2017-05-10 11:34:50	ga_ls8c_ard_3-0-0_112082_2017-05-10_final
2017-05-10 11:35:13	ga_ls8c_ard_3-0-0_112083_2017-05-10_final
2017-05-10 11:35:37	ga_ls8c_ard_3-0-0_112084_2017-05-10_final
2017-05-10 11:36:01	ga_ls8c_ard_3-0-0_112085_2017-05-10_final
2017-05-19 11:29:57	ga_ls8c_ard_3-0-0_111085_2017-05-19_final
2017-06-04 11:30:06	ga_ls8c_ard_3-0-0_111085_2017-06-04_final
2017-06-18 11:39:46	ga_ls8c_ard_3-0-0_113078_2017-06-18_final
2017-06-18 11:40:10	ga_ls8c_ard_3-0-0_113079_2017-06-18_final
2017-06-18 11:40:34	ga_ls8c_ard_3-0-0_113080_2017-06-18_final
2017-06-18 11:40:58	ga_ls8c_ard_3-0-0_113081_2017-06-18_final
2017-06-18 11:41:22	ga_ls8c_ard_3-0-0_113082_2017-06-18_final
2017-06-18 11:41:46	ga_ls8c_ard_3-0-0_113083_2017-06-18_final
2017-06-27 11:35:13	ga_ls8c_ard_3-0-0_112082_2017-06-27_final
2017-06-27 11:35:37	ga_ls8c_ard_3-0-0_112083_2017-06-27_final
2017-06-27 11:36:01	ga_ls8c_ard_3-0-0_112084_2017-06-27_final
2017-06-27 11:36:25	ga_ls8c_ard_3-0-0_112085_2017-06-27_final
2017-07-06 11:30:16	ga_ls8c_ard_3-0-0_111085_2017-07-06_final
2019-09-14 11:30:45	ga_ls8c_ard_3-1-0_111085_2019-09-14_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