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
2014-07-17 10:19:10	ga_ls8c_ard_3-0-0_100077_2014-07-17_final
2014-07-17 10:19:34	ga_ls8c_ard_3-0-0_100078_2014-07-17_final
2014-07-17 10:19:58	ga_ls8c_ard_3-0-0_100079_2014-07-17_final
2014-07-19 10:10:00	ga_ls8c_ard_3-0-0_098085_2014-07-19_final
2014-07-22 10:34:07	ga_ls8c_ard_3-0-0_103068_2014-07-22_final
2014-07-24 10:23:22	ga_ls8c_ard_3-1-0_101072_2014-07-24_final
2014-07-24 10:23:46	ga_ls8c_ard_3-0-0_101073_2014-07-24_final
2014-07-24 10:24:09	ga_ls8c_ard_3-0-0_101074_2014-07-24_final
2014-07-24 10:24:33	ga_ls8c_ard_3-0-0_101075_2014-07-24_final
2014-07-24 10:24:57	ga_ls8c_ard_3-0-0_101076_2014-07-24_final
2014-07-24 10:25:21	ga_ls8c_ard_3-0-0_101077_2014-07-24_final
2014-07-24 10:25:45	ga_ls8c_ard_3-0-0_101078_2014-07-24_final
2014-07-26 10:14:36	ga_ls8c_ard_3-0-0_099081_2014-07-26_final
2014-07-26 10:15:00	ga_ls8c_ard_3-0-0_099082_2014-07-26_final
2014-07-26 10:15:24	ga_ls8c_ard_3-0-0_099083_2014-07-26_final
2014-07-26 10:15:48	ga_ls8c_ard_3-0-0_099084_2014-07-26_final
2014-09-12 10:14:52	ga_ls8c_ard_3-0-0_099081_2014-09-12_final
2014-09-12 10:15:16	ga_ls8c_ard_3-0-0_099082_2014-09-12_final
2014-09-12 10:15:40	ga_ls8c_ard_3-0-0_099083_2014-09-12_final
2014-09-12 10:16:04	ga_ls8c_ard_3-0-0_099084_2014-09-12_final
2014-09-28 10:14:50	ga_ls8c_ard_3-0-0_099081_2014-09-28_final
2014-09-28 10:15:14	ga_ls8c_ard_3-0-0_099082_2014-09-28_final
2014-09-28 10:15:38	ga_ls8c_ard_3-0-0_099083_2014-09-28_final
2014-09-28 10:16:02	ga_ls8c_ard_3-0-0_099084_2014-09-28_final
2014-10-07 10:10:20	ga_ls8c_ard_3-0-0_098085_2014-10-07_final
2014-10-10 10:34:27	ga_ls8c_ard_3-0-0_103068_2014-10-10_final
2014-10-12 10:23:42	ga_ls8c_ard_3-1-0_101072_2014-10-12_final
2014-10-12 10:24:06	ga_ls8c_ard_3-0-0_101073_2014-10-12_final
2014-10-12 10:24:30	ga_ls8c_ard_3-0-0_101074_2014-10-12_final
2014-10-12 10:24:54	ga_ls8c_ard_3-0-0_101075_2014-10-12_final
2014-10-12 10:25:18	ga_ls8c_ard_3-0-0_101076_2014-10-12_final
2014-10-12 10:25:42	ga_ls8c_ard_3-0-0_101077_2014-10-12_final
2014-10-12 10:26:06	ga_ls8c_ard_3-0-0_101078_2014-10-12_final
2014-12-08 10:19:26	ga_ls8c_ard_3-0-0_100077_2014-12-08_final
2014-12-08 10:19:50	ga_ls8c_ard_3-0-0_100078_2014-12-08_final
2014-12-08 10:20:14	ga_ls8c_ard_3-0-0_100079_2014-12-08_final
2014-12-08 10:20:38	ga_ls8c_ard_3-0-0_100080_2014-12-08_final
2014-12-08 10:21:02	ga_ls8c_ard_3-0-0_100081_2014-12-08_final
2014-12-08 10:21:26	ga_ls8c_ard_3-0-0_100082_2014-12-08_final
2014-12-10 10:10:14	ga_ls8c_ard_3-0-0_098085_2014-12-10_final
2015-07-06 10:09:35	ga_ls8c_ard_3-0-0_098085_2015-07-06_final
2015-07-06 10:09:59	ga_ls8c_ard_3-0-0_098086_2015-07-06_final
2015-08-07 10:09:45	ga_ls8c_ard_3-0-0_098085_2015-08-07_final
2015-08-07 10:10:09	ga_ls8c_ard_3-0-0_098086_2015-08-07_final
2015-08-19 10:27:25	ga_ls8c_ard_3-0-0_102067_2015-08-19_final
2015-08-19 10:27:49	ga_ls8c_ard_3-0-0_102068_2015-08-19_final
2015-08-19 10:28:13	ga_ls8c_ard_3-0-0_102069_2015-08-19_final
2015-08-19 10:28:36	ga_ls8c_ard_3-0-0_102070_2015-08-19_final
2015-08-19 10:29:00	ga_ls8c_ard_3-0-0_102071_2015-08-19_final
2015-08-19 10:29:24	ga_ls8c_ard_3-0-0_102072_2015-08-19_final
2015-08-19 10:29:48	ga_ls8c_ard_3-0-0_102073_2015-08-19_final
2015-08-23 10:09:54	ga_ls8c_ard_3-0-0_098085_2015-08-23_final
2015-08-23 10:10:18	ga_ls8c_ard_3-0-0_098086_2015-08-23_final
2015-08-30 10:14:31	ga_ls8c_ard_3-0-0_099081_2015-08-30_final
2015-08-30 10:14:55	ga_ls8c_ard_3-0-0_099082_2015-08-30_final
2015-08-30 10:15:19	ga_ls8c_ard_3-0-0_099083_2015-08-30_final
2015-08-30 10:15:43	ga_ls8c_ard_3-0-0_099084_2015-08-30_final
2015-08-30 10:16:07	ga_ls8c_ard_3-0-0_099085_2015-08-30_final
2015-11-23 10:27:49	ga_ls8c_ard_3-0-0_102067_2015-11-23_final
2015-11-23 10:28:13	ga_ls8c_ard_3-0-0_102068_2015-11-23_final
2015-11-23 10:28:37	ga_ls8c_ard_3-0-0_102069_2015-11-23_final
2015-11-23 10:29:01	ga_ls8c_ard_3-0-0_102070_2015-11-23_final
2015-11-23 10:29:25	ga_ls8c_ard_3-0-0_102071_2015-11-23_final
2015-11-23 10:29:49	ga_ls8c_ard_3-0-0_102072_2015-11-23_final
2015-11-23 10:30:13	ga_ls8c_ard_3-0-0_102073_2015-11-23_final
2015-11-25 10:19:27	ga_ls8c_ard_3-0-0_100077_2015-11-25_final
2015-11-25 10:19:51	ga_ls8c_ard_3-0-0_100078_2015-11-25_final
2015-11-25 10:20:15	ga_ls8c_ard_3-0-0_100079_2015-11-25_final
2015-11-25 10:20:39	ga_ls8c_ard_3-0-0_100080_2015-11-25_final
2015-11-25 10:21:03	ga_ls8c_ard_3-0-0_100081_2015-11-25_final
2015-11-25 10:21:27	ga_ls8c_ard_3-0-0_100082_2015-11-25_final
2015-11-27 10:10:17	ga_ls8c_ard_3-0-0_098085_2015-11-27_final
2015-11-27 10:10:41	ga_ls8c_ard_3-0-0_098086_2015-11-27_final
2019-03-11 10:09:45	ga_ls8c_ard_3-1-0_098085_2019-03-11_final
2019-03-11 10:10:09	ga_ls8c_ard_3-1-0_098086_2019-03-11_final
2019-04-08 10:27:11	ga_ls8c_ard_3-1-0_102067_2019-04-08_final
2019-04-08 10:27:35	ga_ls8c_ard_3-1-0_102068_2019-04-08_final
2019-04-08 10:27:59	ga_ls8c_ard_3-1-0_102069_2019-04-08_final
2019-04-08 10:28:22	ga_ls8c_ard_3-1-0_102070_2019-04-08_final
2019-04-08 10:28:46	ga_ls8c_ard_3-1-0_102071_2019-04-08_final
2019-04-08 10:29:10	ga_ls8c_ard_3-1-0_102072_2019-04-08_final
2019-04-08 10:29:34	ga_ls8c_ard_3-1-0_102073_2019-04-08_final
2019-04-10 10:18:48	ga_ls8c_ard_3-1-0_100077_2019-04-10_final
2019-04-10 10:19:12	ga_ls8c_ard_3-1-0_100078_2019-04-10_final
2019-04-10 10:19:36	ga_ls8c_ard_3-1-0_100079_2019-04-10_final
2019-04-10 10:20:00	ga_ls8c_ard_3-1-0_100080_2019-04-10_final
2019-04-10 10:20:23	ga_ls8c_ard_3-1-0_100081_2019-04-10_final
2019-04-10 10:20:47	ga_ls8c_ard_3-1-0_100082_2019-04-10_final
2019-04-28 10:09:32	ga_ls8c_ard_3-0-0_098085_2019-04-28_final
2019-04-28 10:09:56	ga_ls8c_ard_3-0-0_098086_2019-04-28_final
2019-06-15 10:09:57	ga_ls8c_ard_3-1-0_098085_2019-06-15_final
2019-06-15 10:10:21	ga_ls8c_ard_3-1-0_098086_2019-06-15_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
2019-11-11 10:23:51	ga_ls8c_ard_3-1-0_101072_2019-11-11_final
2019-11-11 10:24:15	ga_ls8c_ard_3-1-0_101073_2019-11-11_final
2019-11-11 10:24:39	ga_ls8c_ard_3-1-0_101074_2019-11-11_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

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