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
2013-11-24 10:36:38	ga_ls8c_ard_3-0-0_103070_2013-11-24_final
2013-11-24 10:38:14	ga_ls8c_ard_3-0-0_103074_2013-11-24_final
2013-11-24 10:38:38	ga_ls8c_ard_3-0-0_103075_2013-11-24_final
2013-11-26 10:27:53	ga_ls8c_ard_3-0-0_101079_2013-11-26_final
2013-11-26 10:28:17	ga_ls8c_ard_3-0-0_101080_2013-11-26_final
2013-11-26 10:28:41	ga_ls8c_ard_3-0-0_101081_2013-11-26_final
2013-11-26 10:29:05	ga_ls8c_ard_3-0-0_101082_2013-11-26_final
2013-11-26 10:29:29	ga_ls8c_ard_3-0-0_101083_2013-11-26_final
2014-05-26 10:40:21	ga_ls8c_ard_3-0-0_104069_2014-05-26_final
2014-05-26 10:40:45	ga_ls8c_ard_3-0-0_104070_2014-05-26_final
2014-06-11 10:40:07	ga_ls8c_ard_3-0-0_104068_2014-06-11_final
2014-06-11 10:40:31	ga_ls8c_ard_3-0-0_104069_2014-06-11_final
2014-06-11 10:40:55	ga_ls8c_ard_3-0-0_104070_2014-06-11_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
2014-06-13 10:30:58	ga_ls8c_ard_3-0-0_102076_2014-06-13_final
2014-06-13 10:31:22	ga_ls8c_ard_3-0-0_102077_2014-06-13_final
2014-06-13 10:31:45	ga_ls8c_ard_3-0-0_102078_2014-06-13_final
2014-06-13 10:32:09	ga_ls8c_ard_3-0-0_102079_2014-06-13_final
2014-06-13 10:32:33	ga_ls8c_ard_3-1-0_102080_2014-06-13_final
2016-05-24 10:34:40	ga_ls8c_ard_3-0-0_103070_2016-05-24_final
2016-05-24 10:35:04	ga_ls8c_ard_3-0-0_103071_2016-05-24_final
2016-05-24 10:35:28	ga_ls8c_ard_3-0-0_103072_2016-05-24_final
2016-05-24 10:35:52	ga_ls8c_ard_3-0-0_103073_2016-05-24_final
2016-05-24 10:36:16	ga_ls8c_ard_3-0-0_103074_2016-05-24_final
2016-05-24 10:36:40	ga_ls8c_ard_3-0-0_103075_2016-05-24_final
2016-06-09 10:34:44	ga_ls8c_ard_3-0-0_103070_2016-06-09_final
2016-06-09 10:35:08	ga_ls8c_ard_3-0-0_103071_2016-06-09_final
2016-06-09 10:35:32	ga_ls8c_ard_3-0-0_103072_2016-06-09_final
2016-06-09 10:35:56	ga_ls8c_ard_3-0-0_103073_2016-06-09_final
2016-06-09 10:36:20	ga_ls8c_ard_3-0-0_103074_2016-06-09_final
2016-06-09 10:36:44	ga_ls8c_ard_3-0-0_103075_2016-06-09_final
2016-06-11 10:25:58	ga_ls8c_ard_3-0-0_101079_2016-06-11_final
2016-06-11 10:26:22	ga_ls8c_ard_3-0-0_101080_2016-06-11_final
2016-06-11 10:26:46	ga_ls8c_ard_3-0-0_101081_2016-06-11_final
2016-06-11 10:27:10	ga_ls8c_ard_3-0-0_101082_2016-06-11_final
2016-06-11 10:27:34	ga_ls8c_ard_3-0-0_101083_2016-06-11_final
2016-06-11 10:27:58	ga_ls8c_ard_3-0-0_101084_2016-06-11_final
2016-08-03 10:40:03	ga_ls8c_ard_3-0-0_104067_2016-08-03_final
2016-08-03 10:40:27	ga_ls8c_ard_3-0-0_104068_2016-08-03_final
2016-08-03 10:40:51	ga_ls8c_ard_3-0-0_104069_2016-08-03_final
2016-08-03 10:41:15	ga_ls8c_ard_3-0-0_104070_2016-08-03_final
2016-08-05 10:30:29	ga_ls8c_ard_3-0-0_102074_2016-08-05_final
2016-08-05 10:30:53	ga_ls8c_ard_3-0-0_102075_2016-08-05_final
2016-08-05 10:31:17	ga_ls8c_ard_3-0-0_102076_2016-08-05_final
2016-08-05 10:31:41	ga_ls8c_ard_3-0-0_102077_2016-08-05_final
2016-08-05 10:32:05	ga_ls8c_ard_3-0-0_102078_2016-08-05_final
2016-08-05 10:32:29	ga_ls8c_ard_3-0-0_102079_2016-08-05_final
2016-08-05 10:32:53	ga_ls8c_ard_3-0-0_102080_2016-08-05_final
2016-08-28 10:35:12	ga_ls8c_ard_3-0-0_103070_2016-08-28_final
2016-08-28 10:35:36	ga_ls8c_ard_3-0-0_103071_2016-08-28_final
2016-08-28 10:36:00	ga_ls8c_ard_3-0-0_103072_2016-08-28_final
2016-08-28 10:36:24	ga_ls8c_ard_3-0-0_103073_2016-08-28_final
2016-08-28 10:36:48	ga_ls8c_ard_3-0-0_103074_2016-08-28_final
2016-08-28 10:37:12	ga_ls8c_ard_3-0-0_103075_2016-08-28_final
2016-08-30 10:26:27	ga_ls8c_ard_3-0-0_101079_2016-08-30_final
2016-08-30 10:26:51	ga_ls8c_ard_3-0-0_101080_2016-08-30_final
2016-08-30 10:27:15	ga_ls8c_ard_3-0-0_101081_2016-08-30_final
2016-08-30 10:27:39	ga_ls8c_ard_3-0-0_101082_2016-08-30_final
2016-08-30 10:28:03	ga_ls8c_ard_3-0-0_101083_2016-08-30_final
2016-08-30 10:28:27	ga_ls8c_ard_3-0-0_101084_2016-08-30_final
2016-10-17 10:26:13	ga_ls8c_ard_3-0-0_101078_2016-10-17_final
2016-10-17 10:26:37	ga_ls8c_ard_3-0-0_101079_2016-10-17_final
2016-10-17 10:27:01	ga_ls8c_ard_3-0-0_101080_2016-10-17_final
2016-10-17 10:27:25	ga_ls8c_ard_3-0-0_101081_2016-10-17_final
2016-10-17 10:27:49	ga_ls8c_ard_3-0-0_101082_2016-10-17_final
2016-12-04 10:26:12	ga_ls8c_ard_3-0-0_101078_2016-12-04_final
2016-12-04 10:26:36	ga_ls8c_ard_3-0-0_101079_2016-12-04_final
2016-12-04 10:27:00	ga_ls8c_ard_3-0-0_101080_2016-12-04_final
2016-12-04 10:27:24	ga_ls8c_ard_3-0-0_101081_2016-12-04_final
2016-12-04 10:27:48	ga_ls8c_ard_3-0-0_101082_2016-12-04_final
2016-12-04 10:28:12	ga_ls8c_ard_3-0-0_101083_2016-12-04_final
2016-12-04 10:28:36	ga_ls8c_ard_3-0-0_101084_2016-12-04_final
2017-01-05 10:26:29	ga_ls8c_ard_3-0-0_101079_2017-01-05_final
2017-01-05 10:26:53	ga_ls8c_ard_3-0-0_101080_2017-01-05_final
2017-01-05 10:27:17	ga_ls8c_ard_3-0-0_101081_2017-01-05_final
2017-01-05 10:27:40	ga_ls8c_ard_3-0-0_101082_2017-01-05_final
2017-01-05 10:28:04	ga_ls8c_ard_3-0-0_101083_2017-01-05_final
2017-01-05 10:28:28	ga_ls8c_ard_3-0-0_101084_2017-01-05_final
2017-02-06 10:26:16	ga_ls8c_ard_3-0-0_101079_2017-02-06_final
2017-02-06 10:26:40	ga_ls8c_ard_3-0-0_101080_2017-02-06_final
2017-02-06 10:27:04	ga_ls8c_ard_3-0-0_101081_2017-02-06_final
2017-02-06 10:27:28	ga_ls8c_ard_3-0-0_101082_2017-02-06_final
2017-02-06 10:27:52	ga_ls8c_ard_3-0-0_101083_2017-02-06_final
2017-02-06 10:28:16	ga_ls8c_ard_3-0-0_101084_2017-02-06_final
2017-02-20 10:34:58	ga_ls8c_ard_3-0-0_103070_2017-02-20_final
2017-02-20 10:35:22	ga_ls8c_ard_3-0-0_103071_2017-02-20_final
2017-02-20 10:35:46	ga_ls8c_ard_3-0-0_103072_2017-02-20_final
2017-02-20 10:36:09	ga_ls8c_ard_3-0-0_103073_2017-02-20_final
2017-02-20 10:36:33	ga_ls8c_ard_3-0-0_103074_2017-02-20_final
2017-02-20 10:36:57	ga_ls8c_ard_3-0-0_103075_2017-02-20_final
2017-02-22 10:26:11	ga_ls8c_ard_3-0-0_101079_2017-02-22_final
2017-02-22 10:26:35	ga_ls8c_ard_3-0-0_101080_2017-02-22_final
2017-02-22 10:26:59	ga_ls8c_ard_3-0-0_101081_2017-02-22_final
2017-02-22 10:27:23	ga_ls8c_ard_3-0-0_101082_2017-02-22_final
2017-02-22 10:27:47	ga_ls8c_ard_3-0-0_101083_2017-02-22_final
2017-02-22 10:28:11	ga_ls8c_ard_3-0-0_101084_2017-02-22_final
2017-03-15 10:39:45	ga_ls8c_ard_3-0-0_104067_2017-03-15_final
2017-03-15 10:40:09	ga_ls8c_ard_3-0-0_104068_2017-03-15_final
2017-03-15 10:40:33	ga_ls8c_ard_3-0-0_104069_2017-03-15_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