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
2013-11-28 10:17:32	ga_ls8c_ard_3-0-0_099084_2013-11-28_final
2014-03-11 10:20:15	ga_ls8c_ard_3-0-0_100078_2014-03-11_final
2014-03-11 10:20:39	ga_ls8c_ard_3-0-0_100079_2014-03-11_final
2014-03-11 10:21:03	ga_ls8c_ard_3-0-0_100080_2014-03-11_final
2014-03-11 10:21:27	ga_ls8c_ard_3-0-0_100081_2014-03-11_final
2014-03-11 10:21:51	ga_ls8c_ard_3-0-0_100082_2014-03-11_final
2014-03-11 10:22:14	ga_ls8c_ard_3-0-0_100083_2014-03-11_final
2014-03-11 10:22:38	ga_ls8c_ard_3-0-0_100084_2014-03-11_final
2014-06-13 10:28:10	ga_ls8c_ard_3-0-0_102069_2014-06-13_final
2014-06-13 10:28:34	ga_ls8c_ard_3-0-0_102070_2014-06-13_final
2014-06-13 10:28:58	ga_ls8c_ard_3-0-0_102071_2014-06-13_final
2014-06-13 10:29:22	ga_ls8c_ard_3-0-0_102072_2014-06-13_final
2014-06-13 10:29:46	ga_ls8c_ard_3-0-0_102073_2014-06-13_final
2014-06-13 10:30:10	ga_ls8c_ard_3-0-0_102074_2014-06-13_final
2014-06-13 10:30:34	ga_ls8c_ard_3-0-0_102075_2014-06-13_final
2016-10-24 10:28:49	ga_ls8c_ard_3-0-0_102069_2016-10-24_final
2016-10-24 10:29:13	ga_ls8c_ard_3-0-0_102070_2016-10-24_final
2016-10-24 10:29:37	ga_ls8c_ard_3-0-0_102071_2016-10-24_final
2016-10-24 10:30:01	ga_ls8c_ard_3-0-0_102072_2016-10-24_final
2016-10-24 10:30:25	ga_ls8c_ard_3-0-0_102073_2016-10-24_final
2016-10-24 10:30:49	ga_ls8c_ard_3-0-0_102074_2016-10-24_final
2016-10-24 10:31:13	ga_ls8c_ard_3-0-0_102075_2016-10-24_final
2016-10-28 10:10:53	ga_ls8c_ard_3-0-0_098086_2016-10-28_final
2016-10-31 10:34:12	ga_ls8c_ard_3-0-0_103067_2016-10-31_final
2016-10-31 10:34:36	ga_ls8c_ard_3-0-0_103068_2016-10-31_final
2016-10-31 10:35:00	ga_ls8c_ard_3-0-0_103069_2016-10-31_final
2016-10-31 10:35:24	ga_ls8c_ard_3-0-0_103070_2016-10-31_final
2016-12-27 10:29:06	ga_ls8c_ard_3-0-0_102070_2016-12-27_final
2016-12-27 10:29:30	ga_ls8c_ard_3-0-0_102071_2016-12-27_final
2016-12-27 10:29:54	ga_ls8c_ard_3-0-0_102072_2016-12-27_final
2016-12-27 10:30:18	ga_ls8c_ard_3-0-0_102073_2016-12-27_final
2016-12-27 10:30:42	ga_ls8c_ard_3-0-0_102074_2016-12-27_final
2016-12-27 10:31:06	ga_ls8c_ard_3-0-0_102075_2016-12-27_final
2017-03-01 10:28:43	ga_ls8c_ard_3-0-0_102070_2017-03-01_final
2017-03-01 10:29:07	ga_ls8c_ard_3-0-0_102071_2017-03-01_final
2017-03-01 10:29:31	ga_ls8c_ard_3-0-0_102072_2017-03-01_final
2017-03-01 10:29:55	ga_ls8c_ard_3-0-0_102073_2017-03-01_final
2017-03-01 10:30:19	ga_ls8c_ard_3-0-0_102074_2017-03-01_final
2017-03-01 10:30:43	ga_ls8c_ard_3-0-0_102075_2017-03-01_final
2020-06-01 10:10:02	ga_ls8c_ard_3-1-0_098086_2020-06-01_final
2020-06-17 10:10:12	ga_ls8c_ard_3-1-0_098086_2020-06-17_final
2020-06-24 10:14:50	ga_ls8c_ard_3-1-0_099082_2020-06-24_final
2020-06-24 10:15:14	ga_ls8c_ard_3-1-0_099083_2020-06-24_final
2020-06-24 10:15:38	ga_ls8c_ard_3-1-0_099084_2020-06-24_final
2020-06-24 10:16:02	ga_ls8c_ard_3-1-0_099085_2020-06-24_final
2020-07-03 10:10:19	ga_ls8c_ard_3-1-0_098086_2020-07-03_final
2020-07-24 10:24:12	ga_ls8c_ard_3-1-0_101074_2020-07-24_final
2020-07-24 10:24:36	ga_ls8c_ard_3-1-0_101075_2020-07-24_final
2020-07-24 10:25:00	ga_ls8c_ard_3-1-0_101076_2020-07-24_final
2020-07-24 10:25:24	ga_ls8c_ard_3-1-0_101077_2020-07-24_final
2020-07-24 10:25:48	ga_ls8c_ard_3-1-0_101078_2020-07-24_final
2020-07-24 10:26:12	ga_ls8c_ard_3-1-0_101079_2020-07-24_final
2020-07-24 10:26:36	ga_ls8c_ard_3-1-0_101080_2020-07-24_final
2020-08-02 10:19:39	ga_ls8c_ard_3-1-0_100078_2020-08-02_final
2020-08-02 10:20:03	ga_ls8c_ard_3-1-0_100079_2020-08-02_final
2020-08-02 10:20:27	ga_ls8c_ard_3-1-0_100080_2020-08-02_final
2020-08-02 10:20:51	ga_ls8c_ard_3-1-0_100081_2020-08-02_final
2020-08-02 10:21:15	ga_ls8c_ard_3-1-0_100082_2020-08-02_final
2020-08-02 10:21:39	ga_ls8c_ard_3-1-0_100083_2020-08-02_final
2020-08-02 10:22:03	ga_ls8c_ard_3-1-0_100084_2020-08-02_final
2020-08-09 10:24:15	ga_ls8c_ard_3-1-0_101074_2020-08-09_final
2020-08-09 10:24:39	ga_ls8c_ard_3-1-0_101075_2020-08-09_final
2020-08-09 10:25:03	ga_ls8c_ard_3-1-0_101076_2020-08-09_final
2020-08-09 10:25:27	ga_ls8c_ard_3-1-0_101077_2020-08-09_final
2020-08-09 10:25:51	ga_ls8c_ard_3-1-0_101078_2020-08-09_final
2020-08-09 10:26:15	ga_ls8c_ard_3-1-0_101079_2020-08-09_final
2020-08-09 10:26:39	ga_ls8c_ard_3-1-0_101080_2020-08-09_final
2020-08-11 10:15:05	ga_ls8c_ard_3-1-0_099082_2020-08-11_final
2020-08-11 10:15:29	ga_ls8c_ard_3-1-0_099083_2020-08-11_final
2020-08-11 10:15:53	ga_ls8c_ard_3-1-0_099084_2020-08-11_final
2020-08-11 10:16:17	ga_ls8c_ard_3-1-0_099085_2020-08-11_final
2020-08-20 10:10:35	ga_ls8c_ard_3-1-0_098086_2020-08-20_final
2020-08-27 10:15:14	ga_ls8c_ard_3-1-0_099082_2020-08-27_final
2020-08-27 10:15:38	ga_ls8c_ard_3-1-0_099083_2020-08-27_final
2020-08-27 10:16:02	ga_ls8c_ard_3-1-0_099084_2020-08-27_final
2020-08-27 10:16:26	ga_ls8c_ard_3-1-0_099085_2020-08-27_final
2020-11-11 10:34:08	ga_ls8c_ard_3-1-0_103067_2020-11-11_final
2020-11-11 10:34:32	ga_ls8c_ard_3-1-0_103068_2020-11-11_final
2020-11-11 10:34:55	ga_ls8c_ard_3-1-0_103069_2020-11-11_final
2020-11-11 10:35:19	ga_ls8c_ard_3-1-0_103070_2020-11-11_final
2020-11-15 10:15:24	ga_ls8c_ard_3-1-0_099082_2020-11-15_final
2020-11-15 10:15:48	ga_ls8c_ard_3-1-0_099083_2020-11-15_final
2020-11-15 10:16:12	ga_ls8c_ard_3-1-0_099084_2020-11-15_final
2020-11-15 10:16:36	ga_ls8c_ard_3-1-0_099085_2020-11-15_final
2020-12-06 10:28:49	ga_ls8c_ard_3-1-0_102069_2020-12-06_final
2020-12-06 10:29:13	ga_ls8c_ard_3-1-0_102070_2020-12-06_final
2020-12-06 10:29:37	ga_ls8c_ard_3-1-0_102071_2020-12-06_final
2020-12-06 10:30:01	ga_ls8c_ard_3-1-0_102072_2020-12-06_final
2020-12-06 10:30:25	ga_ls8c_ard_3-1-0_102073_2020-12-06_final
2020-12-06 10:30:49	ga_ls8c_ard_3-1-0_102074_2020-12-06_final
2020-12-06 10:31:13	ga_ls8c_ard_3-1-0_102075_2020-12-06_final
2020-12-08 10:20:03	ga_ls8c_ard_3-1-0_100078_2020-12-08_final
2020-12-08 10:20:27	ga_ls8c_ard_3-1-0_100079_2020-12-08_final
2020-12-08 10:20:51	ga_ls8c_ard_3-1-0_100080_2020-12-08_final
2020-12-08 10:21:15	ga_ls8c_ard_3-1-0_100081_2020-12-08_final
2020-12-08 10:21:39	ga_ls8c_ard_3-1-0_100082_2020-12-08_final
2020-12-08 10:22:03	ga_ls8c_ard_3-1-0_100083_2020-12-08_final
2020-12-08 10:22:27	ga_ls8c_ard_3-1-0_100084_2020-12-08_final
2020-12-10 10:10:53	ga_ls8c_ard_3-1-0_098086_2020-12-10_final
2020-12-15 10:26:13	ga_ls8c_ard_3-1-0_101078_2020-12-15_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