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
2013-04-01 10:14:49	ga_ls8c_ard_3-0-0_099085_2013-04-01_final
2013-07-03 10:36:14	ga_ls8c_ard_3-0-0_103068_2013-07-03_final
2013-07-03 10:36:37	ga_ls8c_ard_3-0-0_103069_2013-07-03_final
2013-07-03 10:37:01	ga_ls8c_ard_3-0-0_103070_2013-07-03_final
2013-07-03 10:37:25	ga_ls8c_ard_3-0-0_103071_2013-07-03_final
2013-07-05 10:26:40	ga_ls8c_ard_3-0-0_101075_2013-07-05_final
2013-07-05 10:27:04	ga_ls8c_ard_3-0-0_101076_2013-07-05_final
2013-07-05 10:27:28	ga_ls8c_ard_3-0-0_101077_2013-07-05_final
2013-07-05 10:27:52	ga_ls8c_ard_3-0-0_101078_2013-07-05_final
2013-08-22 10:26:43	ga_ls8c_ard_3-0-0_101075_2013-08-22_final
2013-08-22 10:27:07	ga_ls8c_ard_3-0-0_101076_2013-08-22_final
2013-08-22 10:27:31	ga_ls8c_ard_3-0-0_101077_2013-08-22_final
2013-08-22 10:27:55	ga_ls8c_ard_3-0-0_101078_2013-08-22_final
2013-08-22 10:28:19	ga_ls8c_ard_3-0-0_101079_2013-08-22_final
2013-08-22 10:28:43	ga_ls8c_ard_3-0-0_101080_2013-08-22_final
2013-08-24 10:17:33	ga_ls8c_ard_3-0-0_099083_2013-08-24_final
2013-08-24 10:17:57	ga_ls8c_ard_3-0-0_099084_2013-08-24_final
2018-02-23 10:33:36	ga_ls8c_ard_3-0-0_103067_2018-02-23_final
2018-02-23 10:34:00	ga_ls8c_ard_3-0-0_103068_2018-02-23_final
2018-02-23 10:34:24	ga_ls8c_ard_3-0-0_103069_2018-02-23_final
2018-02-23 10:34:48	ga_ls8c_ard_3-0-0_103070_2018-02-23_final
2018-02-23 10:35:12	ga_ls8c_ard_3-0-0_103071_2018-02-23_final
2018-02-25 10:24:25	ga_ls8c_ard_3-0-0_101075_2018-02-25_final
2018-02-25 10:24:49	ga_ls8c_ard_3-0-0_101076_2018-02-25_final
2018-02-25 10:25:13	ga_ls8c_ard_3-0-0_101077_2018-02-25_final
2018-02-25 10:25:37	ga_ls8c_ard_3-0-0_101078_2018-02-25_final
2018-02-25 10:26:01	ga_ls8c_ard_3-0-0_101079_2018-02-25_final
2018-02-25 10:26:25	ga_ls8c_ard_3-0-0_101080_2018-02-25_final
2018-03-11 10:33:28	ga_ls8c_ard_3-0-0_103067_2018-03-11_final
2018-03-11 10:33:51	ga_ls8c_ard_3-0-0_103068_2018-03-11_final
2018-03-11 10:34:15	ga_ls8c_ard_3-0-0_103069_2018-03-11_final
2018-03-11 10:34:39	ga_ls8c_ard_3-0-0_103070_2018-03-11_final
2018-03-11 10:35:03	ga_ls8c_ard_3-0-0_103071_2018-03-11_final
2018-03-13 10:24:16	ga_ls8c_ard_3-0-0_101075_2018-03-13_final
2018-03-13 10:24:40	ga_ls8c_ard_3-0-0_101076_2018-03-13_final
2018-03-13 10:25:04	ga_ls8c_ard_3-0-0_101077_2018-03-13_final
2018-03-13 10:25:28	ga_ls8c_ard_3-0-0_101078_2018-03-13_final
2018-03-13 10:25:52	ga_ls8c_ard_3-0-0_101079_2018-03-13_final
2018-03-13 10:26:16	ga_ls8c_ard_3-0-0_101080_2018-03-13_final
2018-07-01 10:32:54	ga_ls8c_ard_3-0-0_103067_2018-07-01_final
2018-07-01 10:33:18	ga_ls8c_ard_3-0-0_103068_2018-07-01_final
2018-07-01 10:33:42	ga_ls8c_ard_3-0-0_103069_2018-07-01_final
2018-07-01 10:34:06	ga_ls8c_ard_3-0-0_103070_2018-07-01_final
2018-07-01 10:34:30	ga_ls8c_ard_3-0-0_103071_2018-07-01_final
2018-07-03 10:23:45	ga_ls8c_ard_3-0-0_101075_2018-07-03_final
2018-07-03 10:24:09	ga_ls8c_ard_3-0-0_101076_2018-07-03_final
2018-07-03 10:24:33	ga_ls8c_ard_3-0-0_101077_2018-07-03_final
2018-07-03 10:24:57	ga_ls8c_ard_3-0-0_101078_2018-07-03_final
2018-07-03 10:25:21	ga_ls8c_ard_3-0-0_101079_2018-07-03_final
2018-07-03 10:25:45	ga_ls8c_ard_3-0-0_101080_2018-07-03_final
2019-07-04 10:33:46	ga_ls8c_ard_3-1-0_103067_2019-07-04_final
2019-07-04 10:34:10	ga_ls8c_ard_3-1-0_103068_2019-07-04_final
2019-07-04 10:34:34	ga_ls8c_ard_3-1-0_103069_2019-07-04_final
2019-07-06 10:24:36	ga_ls8c_ard_3-1-0_101075_2019-07-06_final
2019-07-06 10:25:00	ga_ls8c_ard_3-1-0_101076_2019-07-06_final
2019-07-06 10:25:24	ga_ls8c_ard_3-1-0_101077_2019-07-06_final
2019-07-06 10:25:48	ga_ls8c_ard_3-1-0_101078_2019-07-06_final
2019-07-06 10:26:12	ga_ls8c_ard_3-1-0_101079_2019-07-06_final
2019-07-06 10:26:36	ga_ls8c_ard_3-1-0_101080_2019-07-06_final
2019-07-13 10:28:48	ga_ls8c_ard_3-1-0_102070_2019-07-13_final
2019-07-13 10:29:12	ga_ls8c_ard_3-1-0_102071_2019-07-13_final
2019-07-13 10:29:36	ga_ls8c_ard_3-1-0_102072_2019-07-13_final
2019-07-13 10:30:00	ga_ls8c_ard_3-1-0_102073_2019-07-13_final
2019-07-13 10:30:24	ga_ls8c_ard_3-1-0_102074_2019-07-13_final
2019-07-13 10:30:48	ga_ls8c_ard_3-1-0_102075_2019-07-13_final
2019-07-13 10:31:12	ga_ls8c_ard_3-1-0_102076_2019-07-13_final
2019-07-15 10:20:02	ga_ls8c_ard_3-1-0_100079_2019-07-15_final
2019-07-15 10:20:26	ga_ls8c_ard_3-1-0_100080_2019-07-15_final
2019-07-15 10:20:50	ga_ls8c_ard_3-1-0_100081_2019-07-15_final
2019-07-15 10:21:14	ga_ls8c_ard_3-1-0_100082_2019-07-15_final
2019-07-15 10:21:38	ga_ls8c_ard_3-1-0_100083_2019-07-15_final
2019-07-15 10:22:02	ga_ls8c_ard_3-1-0_100084_2019-07-15_final
2019-10-01 10:29:13	ga_ls8c_ard_3-1-0_102070_2019-10-01_final
2019-10-01 10:29:37	ga_ls8c_ard_3-1-0_102071_2019-10-01_final
2019-10-01 10:30:01	ga_ls8c_ard_3-1-0_102072_2019-10-01_final
2019-10-01 10:30:25	ga_ls8c_ard_3-1-0_102073_2019-10-01_final
2019-10-01 10:30:49	ga_ls8c_ard_3-1-0_102074_2019-10-01_final
2019-10-01 10:31:13	ga_ls8c_ard_3-1-0_102075_2019-10-01_final
2019-10-01 10:31:37	ga_ls8c_ard_3-1-0_102076_2019-10-01_final
2019-10-03 10:20:27	ga_ls8c_ard_3-1-0_100079_2019-10-03_final
2019-10-03 10:20:51	ga_ls8c_ard_3-1-0_100080_2019-10-03_final
2019-10-03 10:21:15	ga_ls8c_ard_3-1-0_100081_2019-10-03_final
2019-10-03 10:21:39	ga_ls8c_ard_3-1-0_100082_2019-10-03_final
2019-10-03 10:22:03	ga_ls8c_ard_3-1-0_100083_2019-10-03_final
2019-10-03 10:22:27	ga_ls8c_ard_3-1-0_100084_2019-10-03_final
2019-10-08 10:34:14	ga_ls8c_ard_3-1-0_103067_2019-10-08_final
2019-10-08 10:34:38	ga_ls8c_ard_3-1-0_103068_2019-10-08_final
2019-10-08 10:35:01	ga_ls8c_ard_3-1-0_103069_2019-10-08_final
2019-10-08 10:35:25	ga_ls8c_ard_3-1-0_103070_2019-10-08_final
2019-10-08 10:35:49	ga_ls8c_ard_3-1-0_103071_2019-10-08_final
2019-11-09 10:34:13	ga_ls8c_ard_3-1-0_103067_2019-11-09_final
2019-11-09 10:34:37	ga_ls8c_ard_3-1-0_103068_2019-11-09_final
2019-11-09 10:35:01	ga_ls8c_ard_3-1-0_103069_2019-11-09_final
2019-11-09 10:35:25	ga_ls8c_ard_3-1-0_103070_2019-11-09_final
2019-11-09 10:35:49	ga_ls8c_ard_3-1-0_103071_2019-11-09_final
2019-11-11 10:25:03	ga_ls8c_ard_3-1-0_101075_2019-11-11_final
2019-11-11 10:25:27	ga_ls8c_ard_3-1-0_101076_2019-11-11_final
2019-11-11 10:25:51	ga_ls8c_ard_3-1-0_101077_2019-11-11_final
2019-11-11 10:26:15	ga_ls8c_ard_3-1-0_101078_2019-11-11_final
2019-11-11 10:26:38	ga_ls8c_ard_3-1-0_101079_2019-11-11_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years