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
2014-03-08 11:27:51	ga_ls8c_ard_3-0-0_111077_2014-03-08_final
2014-03-08 11:28:15	ga_ls8c_ard_3-0-0_111078_2014-03-08_final
2014-03-08 11:28:39	ga_ls8c_ard_3-0-0_111079_2014-03-08_final
2014-03-08 11:29:03	ga_ls8c_ard_3-0-0_111080_2014-03-08_final
2014-03-08 11:29:27	ga_ls8c_ard_3-0-0_111081_2014-03-08_final
2014-03-08 11:29:50	ga_ls8c_ard_3-0-0_111082_2014-03-08_final
2014-03-10 11:18:16	ga_ls8c_ard_3-0-0_109084_2014-03-10_final
2014-04-25 11:27:08	ga_ls8c_ard_3-0-0_111077_2014-04-25_final
2014-04-25 11:27:32	ga_ls8c_ard_3-0-0_111078_2014-04-25_final
2014-04-25 11:27:56	ga_ls8c_ard_3-0-0_111079_2014-04-25_final
2014-04-25 11:28:19	ga_ls8c_ard_3-0-0_111080_2014-04-25_final
2014-04-25 11:28:43	ga_ls8c_ard_3-0-0_111081_2014-04-25_final
2014-04-25 11:29:07	ga_ls8c_ard_3-0-0_111082_2014-04-25_final
2014-04-27 11:17:32	ga_ls8c_ard_3-0-0_109084_2014-04-27_final
2014-05-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2014-05-11_final
2014-05-11 11:27:17	ga_ls8c_ard_3-0-0_111078_2014-05-11_final
2014-05-11 11:27:40	ga_ls8c_ard_3-0-0_111079_2014-05-11_final
2014-05-11 11:28:04	ga_ls8c_ard_3-0-0_111080_2014-05-11_final
2014-05-11 11:28:28	ga_ls8c_ard_3-0-0_111081_2014-05-11_final
2014-05-11 11:28:52	ga_ls8c_ard_3-0-0_111082_2014-05-11_final
2014-05-13 11:17:17	ga_ls8c_ard_3-0-0_109084_2014-05-13_final
2014-06-10 11:35:20	ga_ls8c_ard_3-0-0_113067_2014-06-10_final
2014-06-10 11:37:20	ga_ls8c_ard_3-0-0_113072_2014-06-10_final
2014-06-10 11:37:44	ga_ls8c_ard_3-1-0_113073_2014-06-10_final
2014-06-12 11:26:35	ga_ls8c_ard_3-0-0_111076_2014-06-12_final
2014-06-12 11:26:59	ga_ls8c_ard_3-0-0_111077_2014-06-12_final
2014-06-12 11:27:23	ga_ls8c_ard_3-0-0_111078_2014-06-12_final
2014-06-12 11:27:47	ga_ls8c_ard_3-0-0_111079_2014-06-12_final
2014-06-12 11:28:10	ga_ls8c_ard_3-0-0_111080_2014-06-12_final
2014-06-12 11:28:34	ga_ls8c_ard_3-0-0_111081_2014-06-12_final
2014-06-12 11:28:58	ga_ls8c_ard_3-0-0_111082_2014-06-12_final
2015-04-26 11:34:58	ga_ls8c_ard_3-0-0_113067_2015-04-26_final
2015-04-26 11:36:57	ga_ls8c_ard_3-0-0_113072_2015-04-26_final
2015-04-26 11:37:21	ga_ls8c_ard_3-1-0_113073_2015-04-26_final
2015-06-20 11:41:09	ga_ls8c_ard_3-0-0_114067_2015-06-20_final
2015-07-01 11:26:16	ga_ls8c_ard_3-0-0_111076_2015-07-01_final
2015-07-01 11:26:40	ga_ls8c_ard_3-0-0_111077_2015-07-01_final
2015-07-01 11:27:04	ga_ls8c_ard_3-0-0_111078_2015-07-01_final
2015-07-01 11:27:28	ga_ls8c_ard_3-0-0_111079_2015-07-01_final
2015-07-01 11:27:52	ga_ls8c_ard_3-0-0_111080_2015-07-01_final
2015-07-01 11:28:16	ga_ls8c_ard_3-0-0_111081_2015-07-01_final
2015-07-01 11:28:40	ga_ls8c_ard_3-0-0_111082_2015-07-01_final
2015-07-06 11:41:17	ga_ls8c_ard_3-0-0_114067_2015-07-06_final
2015-07-08 11:30:57	ga_ls8c_ard_3-0-0_112072_2015-07-08_final
2015-07-08 11:31:21	ga_ls8c_ard_3-0-0_112073_2015-07-08_final
2015-07-08 11:31:45	ga_ls8c_ard_3-0-0_112074_2015-07-08_final
2015-07-08 11:32:09	ga_ls8c_ard_3-0-0_112075_2015-07-08_final
2015-07-08 11:32:33	ga_ls8c_ard_3-0-0_112076_2015-07-08_final
2015-07-08 11:32:57	ga_ls8c_ard_3-0-0_112077_2015-07-08_final
2015-07-08 11:33:21	ga_ls8c_ard_3-0-0_112078_2015-07-08_final
2015-07-31 11:35:16	ga_ls8c_ard_3-0-0_113067_2015-07-31_final
2015-07-31 11:37:16	ga_ls8c_ard_3-0-0_113072_2015-07-31_final
2015-07-31 11:37:40	ga_ls8c_ard_3-1-0_113073_2015-07-31_final
2015-08-07 11:41:28	ga_ls8c_ard_3-0-0_114067_2015-08-07_final
2015-08-09 11:31:07	ga_ls8c_ard_3-0-0_112072_2015-08-09_final
2015-08-09 11:31:31	ga_ls8c_ard_3-0-0_112073_2015-08-09_final
2015-08-09 11:31:55	ga_ls8c_ard_3-0-0_112074_2015-08-09_final
2015-08-09 11:32:19	ga_ls8c_ard_3-0-0_112075_2015-08-09_final
2015-08-09 11:32:43	ga_ls8c_ard_3-0-0_112076_2015-08-09_final
2015-08-09 11:33:07	ga_ls8c_ard_3-0-0_112077_2015-08-09_final
2015-08-09 11:33:31	ga_ls8c_ard_3-0-0_112078_2015-08-09_final
2015-08-18 11:27:01	ga_ls8c_ard_3-0-0_111077_2015-08-18_final
2015-08-18 11:27:25	ga_ls8c_ard_3-0-0_111078_2015-08-18_final
2015-08-18 11:27:49	ga_ls8c_ard_3-0-0_111079_2015-08-18_final
2015-08-18 11:28:13	ga_ls8c_ard_3-0-0_111080_2015-08-18_final
2015-08-18 11:28:37	ga_ls8c_ard_3-0-0_111081_2015-08-18_final
2015-08-18 11:29:01	ga_ls8c_ard_3-0-0_111082_2015-08-18_final
2015-08-20 11:17:28	ga_ls8c_ard_3-0-0_109084_2015-08-20_final
2015-08-20 11:17:52	ga_ls8c_ard_3-0-0_109085_2015-08-20_final
2019-11-17 11:27:37	ga_ls8c_ard_3-1-0_111077_2019-11-17_final
2019-11-17 11:28:01	ga_ls8c_ard_3-1-0_111078_2019-11-17_final
2019-11-17 11:28:25	ga_ls8c_ard_3-1-0_111079_2019-11-17_final
2019-11-17 11:28:49	ga_ls8c_ard_3-1-0_111080_2019-11-17_final
2019-11-17 11:29:13	ga_ls8c_ard_3-1-0_111081_2019-11-17_final
2019-11-17 11:29:37	ga_ls8c_ard_3-1-0_111082_2019-11-17_final
2019-12-08 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-12-08_final
2020-01-02 11:35:52	ga_ls8c_ard_3-1-0_113067_2020-01-02_final
2020-01-02 11:37:28	ga_ls8c_ard_3-1-0_113071_2020-01-02_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-01-02 11:38:16	ga_ls8c_ard_3-1-0_113073_2020-01-02_final
2020-02-10 11:41:53	ga_ls8c_ard_3-1-0_114067_2020-02-10_final
2020-02-14 11:22:44	ga_ls8c_ard_3-1-0_110081_2020-02-14_final
2020-02-14 11:23:08	ga_ls8c_ard_3-1-0_110082_2020-02-14_final
2020-02-14 11:23:32	ga_ls8c_ard_3-1-0_110083_2020-02-14_final
2020-02-14 11:23:56	ga_ls8c_ard_3-1-0_110084_2020-02-14_final
2020-02-14 11:24:20	ga_ls8c_ard_3-1-0_110085_2020-02-14_final
2020-02-21 11:27:17	ga_ls8c_ard_3-1-0_111077_2020-02-21_final
2020-02-21 11:27:41	ga_ls8c_ard_3-1-0_111078_2020-02-21_final
2020-02-21 11:28:05	ga_ls8c_ard_3-1-0_111079_2020-02-21_final
2020-02-21 11:28:29	ga_ls8c_ard_3-1-0_111080_2020-02-21_final
2020-02-21 11:28:53	ga_ls8c_ard_3-1-0_111081_2020-02-21_final
2020-02-21 11:29:17	ga_ls8c_ard_3-1-0_111082_2020-02-21_final
2020-02-23 11:17:43	ga_ls8c_ard_3-1-0_109084_2020-02-23_final
2020-02-23 11:18:07	ga_ls8c_ard_3-1-0_109085_2020-02-23_final
2020-02-28 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-02-28_final
2020-02-28 11:31:50	ga_ls8c_ard_3-1-0_112073_2020-02-28_final
2020-02-28 11:32:14	ga_ls8c_ard_3-1-0_112074_2020-02-28_final
2020-02-28 11:32:38	ga_ls8c_ard_3-1-0_112075_2020-02-28_final
2020-02-28 11:33:02	ga_ls8c_ard_3-1-0_112076_2020-02-28_final
2020-02-28 11:33:26	ga_ls8c_ard_3-1-0_112077_2020-02-28_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