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
2013-08-03 11:31:29	ga_ls8c_ard_3-0-0_112067_2013-08-03_final
2013-08-12 11:25:18	ga_ls8c_ard_3-0-0_111067_2013-08-12_final
2013-08-12 11:25:42	ga_ls8c_ard_3-0-0_111068_2013-08-12_final
2013-08-12 11:26:54	ga_ls8c_ard_3-0-0_111071_2013-08-12_final
2013-08-12 11:27:18	ga_ls8c_ard_3-0-0_111072_2013-08-12_final
2013-08-12 11:27:42	ga_ls8c_ard_3-0-0_111073_2013-08-12_final
2013-10-31 11:25:01	ga_ls8c_ard_3-0-0_111067_2013-10-31_final
2013-10-31 11:25:25	ga_ls8c_ard_3-0-0_111068_2013-10-31_final
2013-10-31 11:25:49	ga_ls8c_ard_3-0-0_111069_2013-10-31_final
2013-10-31 11:26:13	ga_ls8c_ard_3-0-0_111070_2013-10-31_final
2013-10-31 11:26:37	ga_ls8c_ard_3-0-0_111071_2013-10-31_final
2013-10-31 11:27:01	ga_ls8c_ard_3-0-0_111072_2013-10-31_final
2013-10-31 11:27:25	ga_ls8c_ard_3-0-0_111073_2013-10-31_final
2015-01-08 11:14:58	ga_ls8c_ard_3-0-0_109077_2015-01-08_final
2015-01-08 11:15:22	ga_ls8c_ard_3-0-0_109078_2015-01-08_final
2015-01-08 11:15:46	ga_ls8c_ard_3-0-0_109079_2015-01-08_final
2015-01-08 11:16:10	ga_ls8c_ard_3-0-0_109080_2015-01-08_final
2015-01-08 11:16:34	ga_ls8c_ard_3-0-0_109081_2015-01-08_final
2015-01-13 11:29:31	ga_ls8c_ard_3-0-0_112067_2015-01-13_final
2015-01-13 11:29:55	ga_ls8c_ard_3-0-0_112068_2015-01-13_final
2018-02-24 11:18:51	ga_ls8c_ard_3-0-0_110072_2018-02-24_final
2018-02-24 11:19:15	ga_ls8c_ard_3-0-0_110073_2018-02-24_final
2018-02-24 11:19:39	ga_ls8c_ard_3-0-0_110074_2018-02-24_final
2018-02-24 11:20:03	ga_ls8c_ard_3-0-0_110075_2018-02-24_final
2018-02-24 11:20:27	ga_ls8c_ard_3-0-0_110076_2018-02-24_final
2018-02-24 11:20:51	ga_ls8c_ard_3-0-0_110077_2018-02-24_final
2018-02-24 11:21:15	ga_ls8c_ard_3-0-0_110078_2018-02-24_final
2018-02-26 11:10:04	ga_ls8c_ard_3-0-0_108081_2018-02-26_final
2018-02-26 11:10:28	ga_ls8c_ard_3-0-0_108082_2018-02-26_final
2018-02-26 11:10:52	ga_ls8c_ard_3-0-0_108083_2018-02-26_final
2018-02-26 11:11:16	ga_ls8c_ard_3-0-0_108084_2018-02-26_final
2018-02-26 11:11:40	ga_ls8c_ard_3-0-0_108085_2018-02-26_final
2018-03-12 11:18:42	ga_ls8c_ard_3-0-0_110072_2018-03-12_final
2018-03-12 11:19:06	ga_ls8c_ard_3-0-0_110073_2018-03-12_final
2018-03-12 11:19:30	ga_ls8c_ard_3-0-0_110074_2018-03-12_final
2018-03-12 11:19:54	ga_ls8c_ard_3-0-0_110075_2018-03-12_final
2018-03-12 11:20:18	ga_ls8c_ard_3-0-0_110076_2018-03-12_final
2018-03-12 11:20:42	ga_ls8c_ard_3-0-0_110077_2018-03-12_final
2018-03-12 11:21:06	ga_ls8c_ard_3-0-0_110078_2018-03-12_final
2018-03-14 11:09:55	ga_ls8c_ard_3-0-0_108081_2018-03-14_final
2018-03-14 11:10:19	ga_ls8c_ard_3-0-0_108082_2018-03-14_final
2018-03-14 11:10:43	ga_ls8c_ard_3-0-0_108083_2018-03-14_final
2018-03-14 11:11:07	ga_ls8c_ard_3-0-0_108084_2018-03-14_final
2018-03-14 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-03-14_final
2018-07-02 11:18:10	ga_ls8c_ard_3-0-0_110072_2018-07-02_final
2018-07-02 11:18:34	ga_ls8c_ard_3-0-0_110073_2018-07-02_final
2018-07-02 11:18:58	ga_ls8c_ard_3-0-0_110074_2018-07-02_final
2018-07-02 11:19:22	ga_ls8c_ard_3-0-0_110075_2018-07-02_final
2018-07-02 11:19:46	ga_ls8c_ard_3-0-0_110076_2018-07-02_final
2018-07-02 11:20:10	ga_ls8c_ard_3-0-0_110077_2018-07-02_final
2018-07-02 11:20:34	ga_ls8c_ard_3-0-0_110078_2018-07-02_final
2018-07-04 11:09:25	ga_ls8c_ard_3-0-0_108081_2018-07-04_final
2018-07-04 11:09:49	ga_ls8c_ard_3-0-0_108082_2018-07-04_final
2018-07-04 11:10:13	ga_ls8c_ard_3-0-0_108083_2018-07-04_final
2018-07-04 11:10:37	ga_ls8c_ard_3-0-0_108084_2018-07-04_final
2018-07-04 11:11:01	ga_ls8c_ard_3-0-0_108085_2018-07-04_final
2019-07-12 11:23:14	ga_ls8c_ard_3-1-0_111067_2019-07-12_final
2019-07-12 11:23:38	ga_ls8c_ard_3-1-0_111068_2019-07-12_final
2019-07-12 11:24:02	ga_ls8c_ard_3-1-0_111069_2019-07-12_final
2019-07-12 11:24:26	ga_ls8c_ard_3-1-0_111070_2019-07-12_final
2019-07-12 11:24:50	ga_ls8c_ard_3-1-0_111071_2019-07-12_final
2019-07-12 11:25:13	ga_ls8c_ard_3-1-0_111072_2019-07-12_final
2019-07-12 11:25:37	ga_ls8c_ard_3-1-0_111073_2019-07-12_final
2019-08-17 11:05:30	ga_ls8c_ard_3-1-0_107084_2019-08-17_final
2019-08-17 11:05:54	ga_ls8c_ard_3-1-0_107085_2019-08-17_final
2019-08-20 11:29:38	ga_ls8c_ard_3-1-0_112067_2019-08-20_final
2019-08-20 11:30:02	ga_ls8c_ard_3-1-0_112068_2019-08-20_final
2019-09-07 11:19:20	ga_ls8c_ard_3-1-0_110072_2019-09-07_final
2019-09-07 11:19:44	ga_ls8c_ard_3-1-0_110073_2019-09-07_final
2019-09-07 11:20:07	ga_ls8c_ard_3-1-0_110074_2019-09-07_final
2019-09-07 11:20:31	ga_ls8c_ard_3-1-0_110075_2019-09-07_final
2019-09-07 11:20:55	ga_ls8c_ard_3-1-0_110076_2019-09-07_final
2019-09-07 11:21:19	ga_ls8c_ard_3-1-0_110077_2019-09-07_final
2019-09-07 11:21:43	ga_ls8c_ard_3-1-0_110078_2019-09-07_final
2019-09-30 11:23:39	ga_ls8c_ard_3-1-0_111067_2019-09-30_final
2019-09-30 11:24:03	ga_ls8c_ard_3-1-0_111068_2019-09-30_final
2019-09-30 11:24:26	ga_ls8c_ard_3-1-0_111069_2019-09-30_final
2019-09-30 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-09-30_final
2019-09-30 11:25:14	ga_ls8c_ard_3-1-0_111071_2019-09-30_final
2019-09-30 11:25:38	ga_ls8c_ard_3-1-0_111072_2019-09-30_final
2019-09-30 11:26:02	ga_ls8c_ard_3-1-0_111073_2019-09-30_final
2019-11-10 11:19:28	ga_ls8c_ard_3-1-0_110072_2019-11-10_final
2019-11-10 11:19:52	ga_ls8c_ard_3-1-0_110073_2019-11-10_final
2019-11-10 11:20:16	ga_ls8c_ard_3-1-0_110074_2019-11-10_final
2019-11-10 11:20:40	ga_ls8c_ard_3-1-0_110075_2019-11-10_final
2019-11-10 11:21:04	ga_ls8c_ard_3-1-0_110076_2019-11-10_final
2019-11-10 11:21:28	ga_ls8c_ard_3-1-0_110077_2019-11-10_final
2019-11-10 11:21:52	ga_ls8c_ard_3-1-0_110078_2019-11-10_final
2019-11-12 11:10:42	ga_ls8c_ard_3-1-0_108081_2019-11-12_final
2019-11-12 11:11:06	ga_ls8c_ard_3-1-0_108082_2019-11-12_final
2019-11-12 11:11:30	ga_ls8c_ard_3-1-0_108083_2019-11-12_final
2019-11-12 11:11:54	ga_ls8c_ard_3-1-0_108084_2019-11-12_final
2019-11-12 11:12:18	ga_ls8c_ard_3-1-0_108085_2019-11-12_final
2019-11-17 11:23:38	ga_ls8c_ard_3-1-0_111067_2019-11-17_final
2019-11-17 11:24:02	ga_ls8c_ard_3-1-0_111068_2019-11-17_final
2019-11-17 11:24:26	ga_ls8c_ard_3-1-0_111069_2019-11-17_final
2019-11-17 11:24:50	ga_ls8c_ard_3-1-0_111070_2019-11-17_final
2019-11-17 11:25:14	ga_ls8c_ard_3-1-0_111071_2019-11-17_final
2019-11-17 11:25:38	ga_ls8c_ard_3-1-0_111072_2019-11-17_final
2019-11-17 11:26:01	ga_ls8c_ard_3-1-0_111073_2019-11-17_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