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
2013-03-26 11:18:15	ga_ls8c_ard_3-0-0_109083_2013-03-26_final
2013-03-26 11:18:39	ga_ls8c_ard_3-0-0_109084_2013-03-26_final
2013-03-29 11:31:51	ga_ls8c_ard_3-0-0_112074_2013-03-29_final
2013-03-29 11:32:14	ga_ls8c_ard_3-0-0_112075_2013-03-29_final
2013-03-29 11:32:38	ga_ls8c_ard_3-0-0_112076_2013-03-29_final
2013-03-29 11:33:02	ga_ls8c_ard_3-0-0_112077_2013-03-29_final
2013-04-24 11:19:05	ga_ls8c_ard_3-0-0_109083_2013-04-24_final
2013-04-24 11:19:29	ga_ls8c_ard_3-0-0_109084_2013-04-24_final
2013-06-09 11:28:30	ga_ls8c_ard_3-0-0_111075_2013-06-09_final
2013-06-09 11:28:54	ga_ls8c_ard_3-0-0_111076_2013-06-09_final
2013-06-09 11:29:18	ga_ls8c_ard_3-0-0_111077_2013-06-09_final
2013-06-09 11:29:42	ga_ls8c_ard_3-0-0_111078_2013-06-09_final
2013-06-09 11:30:06	ga_ls8c_ard_3-0-0_111079_2013-06-09_final
2013-06-09 11:30:30	ga_ls8c_ard_3-0-0_111080_2013-06-09_final
2013-06-11 11:19:19	ga_ls8c_ard_3-0-0_109083_2013-06-11_final
2013-07-02 11:33:50	ga_ls8c_ard_3-0-0_112073_2013-07-02_final
2013-07-02 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-07-02_final
2013-07-02 11:34:38	ga_ls8c_ard_3-0-0_112075_2013-07-02_final
2013-07-02 11:35:02	ga_ls8c_ard_3-0-0_112076_2013-07-02_final
2013-07-09 11:37:39	ga_ls8c_ard_3-0-0_113067_2013-07-09_final
2013-07-11 11:28:28	ga_ls8c_ard_3-0-0_111075_2013-07-11_final
2013-07-11 11:28:52	ga_ls8c_ard_3-0-0_111076_2013-07-11_final
2013-07-11 11:29:16	ga_ls8c_ard_3-0-0_111077_2013-07-11_final
2013-07-11 11:29:40	ga_ls8c_ard_3-0-0_111078_2013-07-11_final
2013-07-11 11:30:04	ga_ls8c_ard_3-0-0_111079_2013-07-11_final
2013-07-11 11:30:28	ga_ls8c_ard_3-0-0_111080_2013-07-11_final
2013-07-25 11:37:38	ga_ls8c_ard_3-0-0_113067_2013-07-25_final
2013-08-28 11:28:32	ga_ls8c_ard_3-0-0_111075_2013-08-28_final
2013-08-28 11:28:56	ga_ls8c_ard_3-0-0_111076_2013-08-28_final
2013-08-28 11:29:20	ga_ls8c_ard_3-0-0_111077_2013-08-28_final
2013-08-28 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-08-28_final
2013-08-28 11:30:08	ga_ls8c_ard_3-0-0_111079_2013-08-28_final
2013-08-28 11:30:32	ga_ls8c_ard_3-0-0_111080_2013-08-28_final
2013-09-04 11:33:30	ga_ls8c_ard_3-0-0_112072_2013-09-04_final
2013-09-04 11:33:54	ga_ls8c_ard_3-0-0_112073_2013-09-04_final
2013-09-04 11:34:18	ga_ls8c_ard_3-0-0_112074_2013-09-04_final
2013-09-04 11:34:42	ga_ls8c_ard_3-0-0_112075_2013-09-04_final
2013-09-13 11:28:29	ga_ls8c_ard_3-0-0_111075_2013-09-13_final
2013-09-13 11:28:53	ga_ls8c_ard_3-0-0_111076_2013-09-13_final
2013-09-13 11:29:16	ga_ls8c_ard_3-0-0_111077_2013-09-13_final
2013-09-13 11:29:40	ga_ls8c_ard_3-0-0_111078_2013-09-13_final
2013-09-13 11:30:04	ga_ls8c_ard_3-0-0_111079_2013-09-13_final
2013-09-13 11:30:28	ga_ls8c_ard_3-0-0_111080_2013-09-13_final
2013-09-15 11:19:18	ga_ls8c_ard_3-0-0_109083_2013-09-15_final
2013-09-15 11:19:42	ga_ls8c_ard_3-0-0_109084_2013-09-15_final
2013-11-30 11:37:16	ga_ls8c_ard_3-0-0_113067_2013-11-30_final
2013-12-02 11:28:06	ga_ls8c_ard_3-0-0_111075_2013-12-02_final
2013-12-02 11:28:30	ga_ls8c_ard_3-0-0_111076_2013-12-02_final
2013-12-02 11:28:54	ga_ls8c_ard_3-0-0_111077_2013-12-02_final
2013-12-02 11:29:18	ga_ls8c_ard_3-0-0_111078_2013-12-02_final
2013-12-02 11:29:42	ga_ls8c_ard_3-0-0_111079_2013-12-02_final
2013-12-02 11:30:06	ga_ls8c_ard_3-0-0_111080_2013-12-02_final
2013-12-11 11:23:29	ga_ls8c_ard_3-0-0_110079_2013-12-11_final
2013-12-11 11:23:53	ga_ls8c_ard_3-0-0_110080_2013-12-11_final
2013-12-11 11:24:17	ga_ls8c_ard_3-0-0_110081_2013-12-11_final
2013-12-11 11:24:41	ga_ls8c_ard_3-0-0_110082_2013-12-11_final
2013-12-11 11:25:05	ga_ls8c_ard_3-0-0_110083_2013-12-11_final
2013-12-11 11:25:29	ga_ls8c_ard_3-0-0_110084_2013-12-11_final
2013-12-27 11:23:20	ga_ls8c_ard_3-0-0_110079_2013-12-27_final
2013-12-27 11:23:44	ga_ls8c_ard_3-0-0_110080_2013-12-27_final
2013-12-27 11:24:08	ga_ls8c_ard_3-0-0_110081_2013-12-27_final
2013-12-27 11:24:32	ga_ls8c_ard_3-0-0_110082_2013-12-27_final
2013-12-27 11:24:56	ga_ls8c_ard_3-0-0_110083_2013-12-27_final
2013-12-27 11:25:20	ga_ls8c_ard_3-0-0_110084_2013-12-27_final
2014-02-04 11:27:30	ga_ls8c_ard_3-0-0_111075_2014-02-04_final
2014-02-04 11:27:54	ga_ls8c_ard_3-0-0_111076_2014-02-04_final
2014-02-04 11:28:18	ga_ls8c_ard_3-0-0_111077_2014-02-04_final
2014-02-04 11:28:42	ga_ls8c_ard_3-0-0_111078_2014-02-04_final
2014-02-04 11:29:06	ga_ls8c_ard_3-0-0_111079_2014-02-04_final
2014-02-04 11:29:30	ga_ls8c_ard_3-0-0_111080_2014-02-04_final
2014-02-06 11:18:18	ga_ls8c_ard_3-0-0_109083_2014-02-06_final
2014-02-06 11:18:42	ga_ls8c_ard_3-0-0_109084_2014-02-06_final
2019-01-26 11:21:41	ga_ls8c_ard_3-0-0_110079_2019-01-26_final
2019-01-26 11:22:05	ga_ls8c_ard_3-0-0_110080_2019-01-26_final
2019-01-26 11:22:29	ga_ls8c_ard_3-0-0_110081_2019-01-26_final
2019-01-26 11:22:53	ga_ls8c_ard_3-0-0_110082_2019-01-26_final
2019-01-26 11:23:17	ga_ls8c_ard_3-0-0_110083_2019-01-26_final
2019-01-26 11:23:41	ga_ls8c_ard_3-0-0_110084_2019-01-26_final
2019-02-09 11:30:26	ga_ls8c_ard_3-0-0_112070_2019-02-09_final
2019-02-09 11:30:50	ga_ls8c_ard_3-0-0_112071_2019-02-09_final
2019-02-09 11:31:13	ga_ls8c_ard_3-0-0_112072_2019-02-09_final
2019-02-09 11:31:37	ga_ls8c_ard_3-0-0_112073_2019-02-09_final
2019-02-09 11:32:01	ga_ls8c_ard_3-0-0_112074_2019-02-09_final
2019-02-09 11:32:25	ga_ls8c_ard_3-0-0_112075_2019-02-09_final
2019-02-09 11:32:49	ga_ls8c_ard_3-0-0_112076_2019-02-09_final
2019-02-16 11:35:24	ga_ls8c_ard_3-0-0_113067_2019-02-16_final
2019-02-18 11:26:13	ga_ls8c_ard_3-0-0_111075_2019-02-18_final
2019-02-18 11:26:37	ga_ls8c_ard_3-0-0_111076_2019-02-18_final
2019-02-18 11:27:01	ga_ls8c_ard_3-0-0_111077_2019-02-18_final
2019-02-18 11:27:25	ga_ls8c_ard_3-0-0_111078_2019-02-18_final
2019-02-18 11:27:49	ga_ls8c_ard_3-0-0_111079_2019-02-18_final
2019-02-18 11:28:13	ga_ls8c_ard_3-0-0_111080_2019-02-18_final
2019-02-20 11:17:02	ga_ls8c_ard_3-0-0_109083_2019-02-20_final
2019-02-20 11:17:26	ga_ls8c_ard_3-0-0_109084_2019-02-20_final
2019-02-20 11:17:50	ga_ls8c_ard_3-0-0_109085_2019-02-20_final
2019-03-20 11:35:14	ga_ls8c_ard_3-1-0_113067_2019-03-20_final
2019-03-20 11:36:50	ga_ls8c_ard_3-1-0_113071_2019-03-20_final
2019-05-07 11:35:08	ga_ls8c_ard_3-0-0_113067_2019-05-07_final
2019-05-07 11:36:44	ga_ls8c_ard_3-0-0_113071_2019-05-07_final
2019-05-23 11:35:18	ga_ls8c_ard_3-0-0_113067_2019-05-23_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