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
2013-12-23 10:11:11	ga_ls8c_ard_3-0-0_098084_2013-12-23_final
2013-12-23 10:11:35	ga_ls8c_ard_3-0-0_098085_2013-12-23_final
2013-12-26 10:35:41	ga_ls8c_ard_3-0-0_103068_2013-12-26_final
2013-12-28 10:24:55	ga_ls8c_ard_3-1-0_101072_2013-12-28_final
2013-12-28 10:25:19	ga_ls8c_ard_3-0-0_101073_2013-12-28_final
2013-12-28 10:25:43	ga_ls8c_ard_3-0-0_101074_2013-12-28_final
2013-12-28 10:26:55	ga_ls8c_ard_3-0-0_101077_2013-12-28_final
2013-12-28 10:27:18	ga_ls8c_ard_3-0-0_101078_2013-12-28_final
2014-04-21 10:14:37	ga_ls8c_ard_3-0-0_099081_2014-04-21_final
2014-04-21 10:15:01	ga_ls8c_ard_3-0-0_099082_2014-04-21_final
2014-04-21 10:15:25	ga_ls8c_ard_3-0-0_099083_2014-04-21_final
2015-02-26 10:18:42	ga_ls8c_ard_3-0-0_100076_2015-02-26_final
2015-02-26 10:19:05	ga_ls8c_ard_3-0-0_100077_2015-02-26_final
2015-02-26 10:19:29	ga_ls8c_ard_3-0-0_100078_2015-02-26_final
2015-02-26 10:19:53	ga_ls8c_ard_3-0-0_100079_2015-02-26_final
2015-02-26 10:20:17	ga_ls8c_ard_3-0-0_100080_2015-02-26_final
2015-02-26 10:20:41	ga_ls8c_ard_3-0-0_100081_2015-02-26_final
2015-02-26 10:21:05	ga_ls8c_ard_3-0-0_100082_2015-02-26_final
2015-05-10 10:13:47	ga_ls8c_ard_3-0-0_099081_2015-05-10_final
2015-05-10 10:14:11	ga_ls8c_ard_3-0-0_099082_2015-05-10_final
2015-05-10 10:14:35	ga_ls8c_ard_3-0-0_099083_2015-05-10_final
2015-05-10 10:14:59	ga_ls8c_ard_3-0-0_099084_2015-05-10_final
2015-05-10 10:15:23	ga_ls8c_ard_3-0-0_099085_2015-05-10_final
2015-06-02 10:18:02	ga_ls8c_ard_3-0-0_100076_2015-06-02_final
2015-06-02 10:18:26	ga_ls8c_ard_3-0-0_100077_2015-06-02_final
2015-06-02 10:18:50	ga_ls8c_ard_3-0-0_100078_2015-06-02_final
2015-06-02 10:19:14	ga_ls8c_ard_3-0-0_100079_2015-06-02_final
2015-06-02 10:19:38	ga_ls8c_ard_3-0-0_100080_2015-06-02_final
2015-06-02 10:20:02	ga_ls8c_ard_3-0-0_100081_2015-06-02_final
2015-06-02 10:20:26	ga_ls8c_ard_3-1-0_100082_2015-06-02_final
2016-07-31 10:14:44	ga_ls8c_ard_3-0-0_099081_2016-07-31_final
2016-07-31 10:15:08	ga_ls8c_ard_3-0-0_099082_2016-07-31_final
2016-07-31 10:15:32	ga_ls8c_ard_3-0-0_099083_2016-07-31_final
2016-07-31 10:15:56	ga_ls8c_ard_3-0-0_099084_2016-07-31_final
2016-07-31 10:16:20	ga_ls8c_ard_3-0-0_099085_2016-07-31_final
2016-09-08 10:19:07	ga_ls8c_ard_3-0-0_100076_2016-09-08_final
2016-09-08 10:19:31	ga_ls8c_ard_3-0-0_100077_2016-09-08_final
2016-09-29 10:34:05	ga_ls8c_ard_3-0-0_103067_2016-09-29_final
2016-09-29 10:34:29	ga_ls8c_ard_3-0-0_103068_2016-09-29_final
2016-10-01 10:23:43	ga_ls8c_ard_3-1-0_101072_2016-10-01_final
2016-10-01 10:24:07	ga_ls8c_ard_3-0-0_101073_2016-10-01_final
2016-10-01 10:24:31	ga_ls8c_ard_3-0-0_101074_2016-10-01_final
2016-10-01 10:24:55	ga_ls8c_ard_3-0-0_101075_2016-10-01_final
2016-10-01 10:25:19	ga_ls8c_ard_3-0-0_101076_2016-10-01_final
2016-10-01 10:25:43	ga_ls8c_ard_3-0-0_101077_2016-10-01_final
2016-10-01 10:26:07	ga_ls8c_ard_3-0-0_101078_2016-10-01_final
2016-10-10 10:19:12	ga_ls8c_ard_3-0-0_100076_2016-10-10_final
2016-10-10 10:19:36	ga_ls8c_ard_3-0-0_100077_2016-10-10_final
2016-10-10 10:20:00	ga_ls8c_ard_3-0-0_100078_2016-10-10_final
2016-10-10 10:20:24	ga_ls8c_ard_3-0-0_100079_2016-10-10_final
2016-10-10 10:20:48	ga_ls8c_ard_3-0-0_100080_2016-10-10_final
2016-10-10 10:21:12	ga_ls8c_ard_3-0-0_100081_2016-10-10_final
2016-10-10 10:21:36	ga_ls8c_ard_3-0-0_100082_2016-10-10_final
2016-10-12 10:10:03	ga_ls8c_ard_3-0-0_098084_2016-10-12_final
2016-10-12 10:10:27	ga_ls8c_ard_3-0-0_098085_2016-10-12_final
2016-10-12 10:10:51	ga_ls8c_ard_3-0-0_098086_2016-10-12_final
2019-07-13 10:27:37	ga_ls8c_ard_3-1-0_102067_2019-07-13_final
2019-07-13 10:28:01	ga_ls8c_ard_3-1-0_102068_2019-07-13_final
2019-07-13 10:28:24	ga_ls8c_ard_3-1-0_102069_2019-07-13_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
2019-07-15 10:18:51	ga_ls8c_ard_3-1-0_100076_2019-07-15_final
2019-07-15 10:19:15	ga_ls8c_ard_3-1-0_100077_2019-07-15_final
2019-07-15 10:19:39	ga_ls8c_ard_3-1-0_100078_2019-07-15_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
2019-08-18 10:09:53	ga_ls8c_ard_3-1-0_098084_2019-08-18_final
2019-08-18 10:10:17	ga_ls8c_ard_3-1-0_098085_2019-08-18_final
2019-08-18 10:10:41	ga_ls8c_ard_3-1-0_098086_2019-08-18_final
2019-08-30 10:27:52	ga_ls8c_ard_3-1-0_102067_2019-08-30_final
2019-08-30 10:28:16	ga_ls8c_ard_3-1-0_102068_2019-08-30_final
2019-08-30 10:28:40	ga_ls8c_ard_3-1-0_102069_2019-08-30_final
2019-08-30 10:29:04	ga_ls8c_ard_3-1-0_102070_2019-08-30_final
2019-08-30 10:29:28	ga_ls8c_ard_3-1-0_102071_2019-08-30_final
2019-08-30 10:29:51	ga_ls8c_ard_3-1-0_102072_2019-08-30_final
2019-08-30 10:30:15	ga_ls8c_ard_3-1-0_102073_2019-08-30_final
2019-09-06 10:34:04	ga_ls8c_ard_3-1-0_103067_2019-09-06_final
2019-09-06 10:34:28	ga_ls8c_ard_3-1-0_103068_2019-09-06_final
2019-09-08 10:23:43	ga_ls8c_ard_3-1-0_101072_2019-09-08_final
2019-09-08 10:24:07	ga_ls8c_ard_3-1-0_101073_2019-09-08_final
2019-09-08 10:24:31	ga_ls8c_ard_3-1-0_101074_2019-09-08_final
2019-09-08 10:24:55	ga_ls8c_ard_3-1-0_101075_2019-09-08_final
2019-09-08 10:25:18	ga_ls8c_ard_3-1-0_101076_2019-09-08_final
2019-09-08 10:25:42	ga_ls8c_ard_3-1-0_101077_2019-09-08_final
2019-09-08 10:26:06	ga_ls8c_ard_3-1-0_101078_2019-09-08_final
2019-10-21 10:10:08	ga_ls8c_ard_3-1-0_098084_2019-10-21_final
2019-10-21 10:10:32	ga_ls8c_ard_3-1-0_098085_2019-10-21_final
2019-10-21 10:10:56	ga_ls8c_ard_3-1-0_098086_2019-10-21_final
2019-10-24 10:34:15	ga_ls8c_ard_3-1-0_103067_2019-10-24_final
2019-10-24 10:34:39	ga_ls8c_ard_3-1-0_103068_2019-10-24_final
2019-10-26 10:23:53	ga_ls8c_ard_3-1-0_101072_2019-10-26_final
2019-10-26 10:24:17	ga_ls8c_ard_3-1-0_101073_2019-10-26_final
2019-10-26 10:24:41	ga_ls8c_ard_3-1-0_101074_2019-10-26_final
2019-10-26 10:25:05	ga_ls8c_ard_3-1-0_101075_2019-10-26_final
2019-10-26 10:25:29	ga_ls8c_ard_3-1-0_101076_2019-10-26_final
2019-10-26 10:25:53	ga_ls8c_ard_3-1-0_101077_2019-10-26_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