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
2015-08-31 10:54:11	ga_ls8c_ard_3-0-0_106072_2015-08-31_final
2015-08-31 10:54:35	ga_ls8c_ard_3-0-0_106073_2015-08-31_final
2015-08-31 10:54:59	ga_ls8c_ard_3-0-0_106074_2015-08-31_final
2015-08-31 10:55:23	ga_ls8c_ard_3-0-0_106075_2015-08-31_final
2015-08-31 10:55:47	ga_ls8c_ard_3-0-0_106076_2015-08-31_final
2015-08-31 10:56:11	ga_ls8c_ard_3-0-0_106077_2015-08-31_final
2015-08-31 10:56:35	ga_ls8c_ard_3-0-0_106078_2015-08-31_final
2015-09-02 10:45:26	ga_ls8c_ard_3-0-0_104081_2015-09-02_final
2015-09-02 10:45:50	ga_ls8c_ard_3-0-0_104082_2015-09-02_final
2015-09-02 10:46:14	ga_ls8c_ard_3-0-0_104083_2015-09-02_final
2015-12-05 10:54:31	ga_ls8c_ard_3-0-0_106072_2015-12-05_final
2015-12-05 10:54:55	ga_ls8c_ard_3-0-0_106073_2015-12-05_final
2015-12-05 10:55:19	ga_ls8c_ard_3-0-0_106074_2015-12-05_final
2015-12-05 10:55:43	ga_ls8c_ard_3-0-0_106075_2015-12-05_final
2015-12-05 10:56:07	ga_ls8c_ard_3-0-0_106076_2015-12-05_final
2015-12-05 10:56:31	ga_ls8c_ard_3-0-0_106077_2015-12-05_final
2015-12-05 10:56:55	ga_ls8c_ard_3-0-0_106078_2015-12-05_final
2015-12-07 10:45:45	ga_ls8c_ard_3-0-0_104081_2015-12-07_final
2015-12-07 10:46:09	ga_ls8c_ard_3-0-0_104082_2015-12-07_final
2015-12-07 10:46:33	ga_ls8c_ard_3-0-0_104083_2015-12-07_final
2015-12-21 10:54:32	ga_ls8c_ard_3-0-0_106072_2015-12-21_final
2015-12-21 10:54:56	ga_ls8c_ard_3-0-0_106073_2015-12-21_final
2015-12-21 10:55:20	ga_ls8c_ard_3-0-0_106074_2015-12-21_final
2015-12-21 10:55:43	ga_ls8c_ard_3-0-0_106075_2015-12-21_final
2015-12-21 10:56:07	ga_ls8c_ard_3-0-0_106076_2015-12-21_final
2015-12-21 10:56:31	ga_ls8c_ard_3-0-0_106077_2015-12-21_final
2015-12-21 10:56:55	ga_ls8c_ard_3-0-0_106078_2015-12-21_final
2015-12-23 10:45:45	ga_ls8c_ard_3-0-0_104081_2015-12-23_final
2015-12-23 10:46:09	ga_ls8c_ard_3-0-0_104082_2015-12-23_final
2015-12-23 10:46:33	ga_ls8c_ard_3-0-0_104083_2015-12-23_final
2016-08-15 11:04:49	ga_ls8c_ard_3-0-0_108067_2016-08-15_final
2016-08-15 11:05:13	ga_ls8c_ard_3-0-0_108068_2016-08-15_final
2016-09-09 10:58:47	ga_ls8c_ard_3-0-0_107067_2016-09-09_final
2016-09-09 10:59:11	ga_ls8c_ard_3-0-0_107068_2016-09-09_final
2016-09-09 10:59:35	ga_ls8c_ard_3-0-0_107069_2016-09-09_final
2016-09-09 10:59:59	ga_ls8c_ard_3-0-0_107070_2016-09-09_final
2016-09-09 11:00:23	ga_ls8c_ard_3-0-0_107071_2016-09-09_final
2016-09-09 11:00:47	ga_ls8c_ard_3-0-0_107072_2016-09-09_final
2016-09-09 11:01:11	ga_ls8c_ard_3-0-0_107073_2016-09-09_final
2016-10-02 11:05:00	ga_ls8c_ard_3-0-0_108067_2016-10-02_final
2016-10-02 11:05:24	ga_ls8c_ard_3-0-0_108068_2016-10-02_final
2016-10-27 10:58:55	ga_ls8c_ard_3-0-0_107067_2016-10-27_final
2016-10-27 10:59:19	ga_ls8c_ard_3-0-0_107068_2016-10-27_final
2016-10-27 10:59:43	ga_ls8c_ard_3-0-0_107069_2016-10-27_final
2016-10-27 11:00:07	ga_ls8c_ard_3-0-0_107070_2016-10-27_final
2016-10-27 11:00:31	ga_ls8c_ard_3-0-0_107071_2016-10-27_final
2016-10-27 11:00:55	ga_ls8c_ard_3-0-0_107072_2016-10-27_final
2016-10-27 11:01:19	ga_ls8c_ard_3-0-0_107073_2016-10-27_final
2016-11-19 11:05:05	ga_ls8c_ard_3-0-0_108067_2016-11-19_final
2016-11-19 11:05:29	ga_ls8c_ard_3-0-0_108068_2016-11-19_final
2019-02-13 11:04:30	ga_ls8c_ard_3-0-0_108067_2019-02-13_final
2019-02-13 11:04:54	ga_ls8c_ard_3-0-0_108068_2019-02-13_final
2019-03-10 10:58:12	ga_ls8c_ard_3-1-0_107067_2019-03-10_final
2019-03-10 10:58:36	ga_ls8c_ard_3-1-0_107068_2019-03-10_final
2019-03-10 10:59:00	ga_ls8c_ard_3-1-0_107069_2019-03-10_final
2019-03-10 10:59:24	ga_ls8c_ard_3-1-0_107070_2019-03-10_final
2019-03-10 10:59:48	ga_ls8c_ard_3-1-0_107071_2019-03-10_final
2019-03-10 11:00:12	ga_ls8c_ard_3-1-0_107072_2019-03-10_final
2019-03-10 11:00:36	ga_ls8c_ard_3-1-0_107073_2019-03-10_final
2019-04-11 10:58:04	ga_ls8c_ard_3-1-0_107067_2019-04-11_final
2019-04-11 10:58:28	ga_ls8c_ard_3-1-0_107068_2019-04-11_final
2019-04-11 10:58:51	ga_ls8c_ard_3-1-0_107069_2019-04-11_final
2019-04-11 10:59:15	ga_ls8c_ard_3-1-0_107070_2019-04-11_final
2019-04-11 10:59:39	ga_ls8c_ard_3-1-0_107071_2019-04-11_final
2019-04-11 11:00:03	ga_ls8c_ard_3-1-0_107072_2019-04-11_final
2019-04-11 11:00:27	ga_ls8c_ard_3-1-0_107073_2019-04-11_final
2019-04-20 10:53:49	ga_ls8c_ard_3-0-0_106072_2019-04-20_final
2019-04-20 10:54:13	ga_ls8c_ard_3-0-0_106073_2019-04-20_final
2019-04-20 10:54:37	ga_ls8c_ard_3-0-0_106074_2019-04-20_final
2019-04-20 10:55:01	ga_ls8c_ard_3-0-0_106075_2019-04-20_final
2019-04-20 10:55:24	ga_ls8c_ard_3-0-0_106076_2019-04-20_final
2019-04-20 10:55:48	ga_ls8c_ard_3-0-0_106077_2019-04-20_final
2019-04-20 10:56:12	ga_ls8c_ard_3-0-0_106078_2019-04-20_final
2019-04-22 10:45:02	ga_ls8c_ard_3-0-0_104081_2019-04-22_final
2019-04-22 10:45:26	ga_ls8c_ard_3-0-0_104082_2019-04-22_final
2019-04-22 10:45:50	ga_ls8c_ard_3-0-0_104083_2019-04-22_final
2019-05-20 11:04:22	ga_ls8c_ard_3-0-0_108067_2019-05-20_final
2019-05-20 11:04:46	ga_ls8c_ard_3-0-0_108068_2019-05-20_final
2020-04-13 10:58:11	ga_ls8c_ard_3-1-0_107067_2020-04-13_final
2020-04-13 10:58:35	ga_ls8c_ard_3-1-0_107068_2020-04-13_final
2020-04-13 10:58:59	ga_ls8c_ard_3-1-0_107069_2020-04-13_final
2020-04-13 10:59:23	ga_ls8c_ard_3-1-0_107070_2020-04-13_final
2020-04-13 10:59:47	ga_ls8c_ard_3-1-0_107071_2020-04-13_final
2020-04-13 11:00:11	ga_ls8c_ard_3-1-0_107072_2020-04-13_final
2020-04-13 11:00:35	ga_ls8c_ard_3-1-0_107073_2020-04-13_final
2020-04-15 10:49:48	ga_ls8c_ard_3-1-0_105077_2020-04-15_final
2020-04-15 10:50:12	ga_ls8c_ard_3-1-0_105078_2020-04-15_final
2020-04-15 10:50:36	ga_ls8c_ard_3-1-0_105079_2020-04-15_final
2020-04-15 10:51:00	ga_ls8c_ard_3-1-0_105080_2020-04-15_final
2020-04-15 10:51:24	ga_ls8c_ard_3-1-0_105081_2020-04-15_final
2020-04-15 10:51:48	ga_ls8c_ard_3-1-0_105082_2020-04-15_final
2020-06-09 10:53:58	ga_ls8c_ard_3-1-0_106072_2020-06-09_final
2020-06-09 10:54:22	ga_ls8c_ard_3-1-0_106073_2020-06-09_final
2020-06-09 10:54:46	ga_ls8c_ard_3-1-0_106074_2020-06-09_final
2020-06-09 10:55:10	ga_ls8c_ard_3-1-0_106075_2020-06-09_final
2020-06-09 10:55:34	ga_ls8c_ard_3-1-0_106076_2020-06-09_final
2020-06-09 10:55:58	ga_ls8c_ard_3-1-0_106077_2020-06-09_final
2020-06-09 10:56:22	ga_ls8c_ard_3-1-0_106078_2020-06-09_final
2020-06-11 10:45:13	ga_ls8c_ard_3-1-0_104081_2020-06-11_final
2020-06-11 10:45:37	ga_ls8c_ard_3-1-0_104082_2020-06-11_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