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
2013-06-01 10:36:18	ga_ls8c_ard_3-0-0_103068_2013-06-01_final
2014-07-01 10:19:28	ga_ls8c_ard_3-0-0_100078_2014-07-01_final
2014-07-01 10:19:52	ga_ls8c_ard_3-0-0_100079_2014-07-01_final
2014-07-01 10:20:16	ga_ls8c_ard_3-0-0_100080_2014-07-01_final
2014-07-01 10:20:40	ga_ls8c_ard_3-0-0_100081_2014-07-01_final
2014-07-01 10:21:04	ga_ls8c_ard_3-0-0_100082_2014-07-01_final
2014-07-01 10:21:28	ga_ls8c_ard_3-0-0_100083_2014-07-01_final
2014-07-03 10:09:55	ga_ls8c_ard_3-0-0_098085_2014-07-03_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
2014-07-17 10:20:22	ga_ls8c_ard_3-0-0_100080_2014-07-17_final
2014-07-17 10:20:46	ga_ls8c_ard_3-0-0_100081_2014-07-17_final
2014-07-17 10:21:10	ga_ls8c_ard_3-0-0_100082_2014-07-17_final
2014-07-17 10:21:34	ga_ls8c_ard_3-0-0_100083_2014-07-17_final
2014-07-19 10:10:00	ga_ls8c_ard_3-0-0_098085_2014-07-19_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 10:15:14	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
2014-10-10 10:34:51	ga_ls8c_ard_3-0-0_103069_2014-10-10_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
2014-10-12 10:26:29	ga_ls8c_ard_3-0-0_101079_2014-10-12_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
2014-12-08 10:21:49	ga_ls8c_ard_3-0-0_100083_2014-12-08_final
2014-12-17 10:15:14	ga_ls8c_ard_3-0-0_099082_2014-12-17_final
2014-12-17 10:15:38	ga_ls8c_ard_3-0-0_099083_2014-12-17_final
2014-12-17 10:16:02	ga_ls8c_ard_3-0-0_099084_2014-12-17_final
2018-03-24 10:10:02	ga_ls8c_ard_3-0-0_098086_2018-03-24_final
2018-04-23 10:18:56	ga_ls8c_ard_3-0-0_100078_2018-04-23_final
2018-04-23 10:19:20	ga_ls8c_ard_3-0-0_100079_2018-04-23_final
2018-04-23 10:19:44	ga_ls8c_ard_3-0-0_100080_2018-04-23_final
2018-04-23 10:20:08	ga_ls8c_ard_3-0-0_100081_2018-04-23_final
2018-04-23 10:20:32	ga_ls8c_ard_3-0-0_100082_2018-04-23_final
2018-04-23 10:20:56	ga_ls8c_ard_3-0-0_100083_2018-04-23_final
2023-02-02 10:10:31	ga_ls8c_ard_3-2-1_098085_2023-02-02_final
2023-03-20 10:19:36	ga_ls8c_ard_3-2-1_100078_2023-03-20_final
2023-03-20 10:20:00	ga_ls8c_ard_3-2-1_100079_2023-03-20_final
2023-03-20 10:20:24	ga_ls8c_ard_3-2-1_100080_2023-03-20_final
2023-03-20 10:20:48	ga_ls8c_ard_3-2-1_100081_2023-03-20_final
2023-03-20 10:21:12	ga_ls8c_ard_3-2-1_100082_2023-03-20_final
2023-03-20 10:21:36	ga_ls8c_ard_3-2-1_100083_2023-03-20_final
2023-04-14 10:14:40	ga_ls8c_ard_3-2-1_099082_2023-04-14_final
2023-04-14 10:15:04	ga_ls8c_ard_3-2-1_099083_2023-04-14_final
2023-04-14 10:15:28	ga_ls8c_ard_3-2-1_099084_2023-04-14_final
2023-04-14 10:15:52	ga_ls8c_ard_3-2-1_099085_2023-04-14_final
2023-04-19 10:27:59	ga_ls8c_ard_3-2-1_102069_2023-04-19_final
2023-04-19 10:28:23	ga_ls8c_ard_3-2-1_102070_2023-04-19_final
2023-04-19 10:28:47	ga_ls8c_ard_3-2-1_102071_2023-04-19_final
2023-04-19 10:29:11	ga_ls8c_ard_3-2-1_102072_2023-04-19_final
2023-04-19 10:29:35	ga_ls8c_ard_3-2-1_102073_2023-04-19_final
2023-04-19 10:29:59	ga_ls8c_ard_3-2-1_102074_2023-04-19_final
2023-04-21 10:19:13	ga_ls8c_ard_3-2-1_100078_2023-04-21_final
2023-04-21 10:19:36	ga_ls8c_ard_3-2-1_100079_2023-04-21_final
2023-04-21 10:20:00	ga_ls8c_ard_3-2-1_100080_2023-04-21_final
2023-04-21 10:20:24	ga_ls8c_ard_3-2-1_100081_2023-04-21_final
2023-04-21 10:20:48	ga_ls8c_ard_3-2-1_100082_2023-04-21_final
2023-04-21 10:21:12	ga_ls8c_ard_3-2-1_100083_2023-04-21_final
2023-04-26 10:33:46	ga_ls8c_ard_3-2-1_103068_2023-04-26_final
2023-04-26 10:34:10	ga_ls8c_ard_3-2-1_103069_2023-04-26_final
2023-04-28 10:23:23	ga_ls8c_ard_3-2-1_101073_2023-04-28_final
2023-04-28 10:23:47	ga_ls8c_ard_3-2-1_101074_2023-04-28_final
2023-04-28 10:24:11	ga_ls8c_ard_3-2-1_101075_2023-04-28_final
2023-04-28 10:24:35	ga_ls8c_ard_3-2-1_101076_2023-04-28_final
2023-04-28 10:24:59	ga_ls8c_ard_3-2-1_101077_2023-04-28_final
2023-04-28 10:25:23	ga_ls8c_ard_3-2-1_101078_2023-04-28_final
2023-04-28 10:25:47	ga_ls8c_ard_3-2-1_101079_2023-04-28_final
2023-05-21 10:27:45	ga_ls8c_ard_3-2-1_102069_2023-05-21_final
2023-05-21 10:28:09	ga_ls8c_ard_3-2-1_102070_2023-05-21_final
2023-05-21 10:28:33	ga_ls8c_ard_3-2-1_102071_2023-05-21_final
2023-05-21 10:28:57	ga_ls8c_ard_3-2-1_102072_2023-05-21_final
2023-05-21 10:29:21	ga_ls8c_ard_3-2-1_102073_2023-05-21_final
2023-05-21 10:29:45	ga_ls8c_ard_3-2-1_102074_2023-05-21_final
2023-05-23 10:19:00	ga_ls8c_ard_3-2-1_100078_2023-05-23_final
2023-05-23 10:19:24	ga_ls8c_ard_3-2-1_100079_2023-05-23_final
2023-05-23 10:19:48	ga_ls8c_ard_3-2-1_100080_2023-05-23_final
2023-05-23 10:20:12	ga_ls8c_ard_3-2-1_100081_2023-05-23_final
2023-05-23 10:20:36	ga_ls8c_ard_3-2-1_100082_2023-05-23_final
2023-05-23 10:20:59	ga_ls8c_ard_3-2-1_100083_2023-05-23_final
2023-05-25 10:09:26	ga_ls8c_ard_3-2-1_098085_2023-05-25_final
2023-05-28 10:33:34	ga_ls8c_ard_3-2-1_103068_2023-05-28_final
2023-05-28 10:33:58	ga_ls8c_ard_3-2-1_103069_2023-05-28_final
2023-05-30 10:23:12	ga_ls8c_ard_3-2-1_101073_2023-05-30_final
2023-05-30 10:23:36	ga_ls8c_ard_3-2-1_101074_2023-05-30_final
2023-05-30 10:24:00	ga_ls8c_ard_3-2-1_101075_2023-05-30_final
2023-05-30 10:24:23	ga_ls8c_ard_3-2-1_101076_2023-05-30_final
2023-05-30 10:24:47	ga_ls8c_ard_3-2-1_101077_2023-05-30_final
2023-05-30 10:25:11	ga_ls8c_ard_3-2-1_101078_2023-05-30_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