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
2013-11-17 10:35:20	ga_ls8c_ard_3-0-0_102082_2013-11-17_final
2013-11-22 10:49:00	ga_ls8c_ard_3-0-0_105070_2013-11-22_final
2013-11-22 10:49:24	ga_ls8c_ard_3-0-0_105071_2013-11-22_final
2013-11-22 10:49:48	ga_ls8c_ard_3-0-0_105072_2013-11-22_final
2013-11-22 10:50:12	ga_ls8c_ard_3-0-0_105073_2013-11-22_final
2013-11-24 10:39:50	ga_ls8c_ard_3-0-0_103078_2013-11-24_final
2013-11-24 10:40:14	ga_ls8c_ard_3-0-0_103079_2013-11-24_final
2013-11-24 10:40:38	ga_ls8c_ard_3-0-0_103080_2013-11-24_final
2013-11-24 10:41:02	ga_ls8c_ard_3-0-0_103081_2013-11-24_final
2013-11-24 10:41:26	ga_ls8c_ard_3-0-0_103082_2013-11-24_final
2014-04-06 10:52:33	ga_ls8c_ard_3-0-0_106067_2014-04-06_final
2014-04-06 10:52:57	ga_ls8c_ard_3-0-0_106068_2014-04-06_final
2014-04-06 10:53:21	ga_ls8c_ard_3-0-0_106069_2014-04-06_final
2014-04-06 10:53:45	ga_ls8c_ard_3-0-0_106070_2014-04-06_final
2014-04-22 10:52:41	ga_ls8c_ard_3-0-0_106068_2014-04-22_final
2014-04-22 10:53:04	ga_ls8c_ard_3-0-0_106069_2014-04-22_final
2014-06-02 10:46:37	ga_ls8c_ard_3-0-0_105069_2014-06-02_final
2014-06-02 10:47:01	ga_ls8c_ard_3-0-0_105070_2014-06-02_final
2014-06-02 10:47:25	ga_ls8c_ard_3-0-0_105071_2014-06-02_final
2014-06-02 10:47:49	ga_ls8c_ard_3-0-0_105072_2014-06-02_final
2014-06-02 10:48:13	ga_ls8c_ard_3-0-0_105073_2014-06-02_final
2014-06-02 10:48:37	ga_ls8c_ard_3-0-0_105074_2014-06-02_final
2014-06-02 10:49:01	ga_ls8c_ard_3-0-0_105075_2014-06-02_final
2014-06-04 10:37:52	ga_ls8c_ard_3-0-0_103078_2014-06-04_final
2014-06-04 10:38:16	ga_ls8c_ard_3-0-0_103079_2014-06-04_final
2014-06-04 10:38:40	ga_ls8c_ard_3-0-0_103080_2014-06-04_final
2014-06-04 10:39:04	ga_ls8c_ard_3-0-0_103081_2014-06-04_final
2014-06-04 10:39:28	ga_ls8c_ard_3-0-0_103082_2014-06-04_final
2014-06-18 10:46:43	ga_ls8c_ard_3-0-0_105069_2014-06-18_final
2014-06-18 10:47:07	ga_ls8c_ard_3-0-0_105070_2014-06-18_final
2014-06-18 10:47:31	ga_ls8c_ard_3-0-0_105071_2014-06-18_final
2014-06-18 10:47:55	ga_ls8c_ard_3-0-0_105072_2014-06-18_final
2014-06-18 10:48:19	ga_ls8c_ard_3-0-0_105073_2014-06-18_final
2014-06-18 10:48:43	ga_ls8c_ard_3-0-0_105074_2014-06-18_final
2014-06-18 10:49:07	ga_ls8c_ard_3-0-0_105075_2014-06-18_final
2014-06-20 10:37:57	ga_ls8c_ard_3-0-0_103078_2014-06-20_final
2014-06-20 10:38:21	ga_ls8c_ard_3-0-0_103079_2014-06-20_final
2014-06-20 10:38:45	ga_ls8c_ard_3-0-0_103080_2014-06-20_final
2014-06-20 10:39:09	ga_ls8c_ard_3-0-0_103081_2014-06-20_final
2014-06-20 10:39:33	ga_ls8c_ard_3-0-0_103082_2014-06-20_final
2016-05-22 10:46:37	ga_ls8c_ard_3-0-0_105069_2016-05-22_final
2016-05-22 10:47:01	ga_ls8c_ard_3-0-0_105070_2016-05-22_final
2016-05-22 10:47:25	ga_ls8c_ard_3-0-0_105071_2016-05-22_final
2016-05-22 10:47:49	ga_ls8c_ard_3-0-0_105072_2016-05-22_final
2016-05-22 10:48:13	ga_ls8c_ard_3-0-0_105073_2016-05-22_final
2016-05-22 10:48:37	ga_ls8c_ard_3-0-0_105074_2016-05-22_final
2016-05-22 10:49:00	ga_ls8c_ard_3-0-0_105075_2016-05-22_final
2016-05-24 10:37:51	ga_ls8c_ard_3-0-0_103078_2016-05-24_final
2016-05-24 10:38:15	ga_ls8c_ard_3-1-0_103079_2016-05-24_final
2016-05-24 10:38:39	ga_ls8c_ard_3-0-0_103080_2016-05-24_final
2016-05-24 10:39:03	ga_ls8c_ard_3-0-0_103081_2016-05-24_final
2016-05-24 10:39:27	ga_ls8c_ard_3-0-0_103082_2016-05-24_final
2016-05-24 10:39:51	ga_ls8c_ard_3-0-0_103083_2016-05-24_final
2016-05-29 10:52:02	ga_ls8c_ard_3-0-0_106067_2016-05-29_final
2016-05-29 10:52:26	ga_ls8c_ard_3-0-0_106068_2016-05-29_final
2016-05-29 10:52:50	ga_ls8c_ard_3-0-0_106069_2016-05-29_final
2016-05-29 10:53:14	ga_ls8c_ard_3-0-0_106070_2016-05-29_final
2016-06-14 10:52:05	ga_ls8c_ard_3-0-0_106067_2016-06-14_final
2016-06-14 10:52:29	ga_ls8c_ard_3-0-0_106068_2016-06-14_final
2016-06-14 10:52:53	ga_ls8c_ard_3-0-0_106069_2016-06-14_final
2016-06-14 10:53:17	ga_ls8c_ard_3-0-0_106070_2016-06-14_final
2016-06-16 10:42:31	ga_ls8c_ard_3-0-0_104074_2016-06-16_final
2016-06-16 10:42:55	ga_ls8c_ard_3-0-0_104075_2016-06-16_final
2016-06-16 10:43:19	ga_ls8c_ard_3-0-0_104076_2016-06-16_final
2016-06-16 10:43:43	ga_ls8c_ard_3-0-0_104077_2016-06-16_final
2016-06-16 10:44:07	ga_ls8c_ard_3-0-0_104078_2016-06-16_final
2016-06-16 10:44:31	ga_ls8c_ard_3-0-0_104079_2016-06-16_final
2016-06-16 10:44:55	ga_ls8c_ard_3-0-0_104080_2016-06-16_final
2016-06-18 10:33:22	ga_ls8c_ard_3-0-0_102082_2016-06-18_final
2016-06-18 10:33:46	ga_ls8c_ard_3-0-0_102083_2016-06-18_final
2016-08-03 10:42:51	ga_ls8c_ard_3-0-0_104074_2016-08-03_final
2016-08-03 10:43:15	ga_ls8c_ard_3-0-0_104075_2016-08-03_final
2016-08-03 10:43:39	ga_ls8c_ard_3-0-0_104076_2016-08-03_final
2016-08-03 10:44:03	ga_ls8c_ard_3-0-0_104077_2016-08-03_final
2016-08-03 10:44:26	ga_ls8c_ard_3-0-0_104078_2016-08-03_final
2016-08-03 10:44:50	ga_ls8c_ard_3-0-0_104079_2016-08-03_final
2016-08-03 10:45:14	ga_ls8c_ard_3-0-0_104080_2016-08-03_final
2016-08-05 10:33:41	ga_ls8c_ard_3-0-0_102082_2016-08-05_final
2016-08-05 10:34:05	ga_ls8c_ard_3-0-0_102083_2016-08-05_final
2016-08-19 10:42:55	ga_ls8c_ard_3-0-0_104074_2016-08-19_final
2016-08-19 10:43:19	ga_ls8c_ard_3-0-0_104075_2016-08-19_final
2016-08-19 10:43:43	ga_ls8c_ard_3-0-0_104076_2016-08-19_final
2016-08-19 10:44:07	ga_ls8c_ard_3-1-0_104077_2016-08-19_final
2016-08-19 10:44:31	ga_ls8c_ard_3-0-0_104078_2016-08-19_final
2016-08-19 10:44:55	ga_ls8c_ard_3-0-0_104079_2016-08-19_final
2016-08-19 10:45:19	ga_ls8c_ard_3-0-0_104080_2016-08-19_final
2020-05-10 10:42:13	ga_ls8c_ard_3-1-0_104074_2020-05-10_final
2020-05-10 10:42:37	ga_ls8c_ard_3-1-0_104075_2020-05-10_final
2020-05-10 10:43:01	ga_ls8c_ard_3-1-0_104076_2020-05-10_final
2020-05-10 10:43:25	ga_ls8c_ard_3-1-0_104077_2020-05-10_final
2020-05-10 10:43:49	ga_ls8c_ard_3-1-0_104078_2020-05-10_final
2020-05-10 10:44:13	ga_ls8c_ard_3-1-0_104079_2020-05-10_final
2020-05-10 10:44:37	ga_ls8c_ard_3-1-0_104080_2020-05-10_final
2021-02-20 10:52:26	ga_ls8c_ard_3-2-0_106067_2021-02-20_final
2021-02-20 10:52:50	ga_ls8c_ard_3-2-0_106068_2021-02-20_final
2021-02-20 10:53:14	ga_ls8c_ard_3-2-0_106069_2021-02-20_final
2021-02-20 10:53:38	ga_ls8c_ard_3-2-0_106070_2021-02-20_final
2021-03-08 10:52:19	ga_ls8c_ard_3-2-0_106067_2021-03-08_final
2021-03-08 10:52:43	ga_ls8c_ard_3-2-0_106068_2021-03-08_final
2021-03-08 10:53:07	ga_ls8c_ard_3-2-0_106069_2021-03-08_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