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
2014-08-17 11:16:11	ga_ls8c_ard_3-0-0_109080_2014-08-17_final
2014-08-17 11:16:35	ga_ls8c_ard_3-0-0_109081_2014-08-17_final
2014-08-17 11:16:59	ga_ls8c_ard_3-0-0_109082_2014-08-17_final
2014-08-17 11:17:23	ga_ls8c_ard_3-0-0_109083_2014-08-17_final
2014-08-17 11:17:47	ga_ls8c_ard_3-0-0_109084_2014-08-17_final
2015-08-25 11:29:15	ga_ls8c_ard_3-0-0_112067_2015-08-25_final
2015-08-25 11:29:39	ga_ls8c_ard_3-0-0_112068_2015-08-25_final
2015-08-25 11:30:03	ga_ls8c_ard_3-0-0_112069_2015-08-25_final
2015-08-25 11:30:27	ga_ls8c_ard_3-0-0_112070_2015-08-25_final
2015-08-25 11:30:51	ga_ls8c_ard_3-0-0_112071_2015-08-25_final
2015-08-25 11:31:15	ga_ls8c_ard_3-0-0_112072_2015-08-25_final
2015-08-27 11:20:06	ga_ls8c_ard_3-0-0_110075_2015-08-27_final
2015-08-27 11:20:30	ga_ls8c_ard_3-0-0_110076_2015-08-27_final
2015-08-27 11:20:54	ga_ls8c_ard_3-0-0_110077_2015-08-27_final
2015-08-27 11:21:18	ga_ls8c_ard_3-0-0_110078_2015-08-27_final
2015-08-27 11:21:41	ga_ls8c_ard_3-0-0_110079_2015-08-27_final
2015-08-27 11:22:05	ga_ls8c_ard_3-0-0_110080_2015-08-27_final
2015-08-27 11:22:29	ga_ls8c_ard_3-0-0_110081_2015-08-27_final
2015-08-29 11:10:56	ga_ls8c_ard_3-0-0_108083_2015-08-29_final
2015-08-29 11:11:20	ga_ls8c_ard_3-0-0_108084_2015-08-29_final
2015-08-29 11:11:44	ga_ls8c_ard_3-0-0_108085_2015-08-29_final
2015-12-01 11:20:27	ga_ls8c_ard_3-0-0_110075_2015-12-01_final
2015-12-01 11:20:51	ga_ls8c_ard_3-0-0_110076_2015-12-01_final
2015-12-01 11:21:15	ga_ls8c_ard_3-0-0_110077_2015-12-01_final
2015-12-01 11:21:39	ga_ls8c_ard_3-0-0_110078_2015-12-01_final
2015-12-01 11:22:03	ga_ls8c_ard_3-0-0_110079_2015-12-01_final
2015-12-01 11:22:27	ga_ls8c_ard_3-0-0_110080_2015-12-01_final
2015-12-01 11:22:51	ga_ls8c_ard_3-0-0_110081_2015-12-01_final
2015-12-03 11:11:17	ga_ls8c_ard_3-0-0_108083_2015-12-03_final
2015-12-03 11:11:41	ga_ls8c_ard_3-0-0_108084_2015-12-03_final
2015-12-03 11:12:05	ga_ls8c_ard_3-0-0_108085_2015-12-03_final
2015-12-17 11:20:26	ga_ls8c_ard_3-0-0_110075_2015-12-17_final
2015-12-17 11:20:50	ga_ls8c_ard_3-0-0_110076_2015-12-17_final
2015-12-17 11:21:14	ga_ls8c_ard_3-0-0_110077_2015-12-17_final
2015-12-17 11:21:38	ga_ls8c_ard_3-0-0_110078_2015-12-17_final
2015-12-17 11:22:02	ga_ls8c_ard_3-0-0_110079_2015-12-17_final
2015-12-17 11:22:26	ga_ls8c_ard_3-0-0_110080_2015-12-17_final
2015-12-17 11:22:50	ga_ls8c_ard_3-0-0_110081_2015-12-17_final
2015-12-19 11:11:17	ga_ls8c_ard_3-0-0_108083_2015-12-19_final
2015-12-19 11:11:40	ga_ls8c_ard_3-0-0_108084_2015-12-19_final
2015-12-19 11:12:04	ga_ls8c_ard_3-0-0_108085_2015-12-19_final
2016-01-27 11:16:11	ga_ls8c_ard_3-0-0_109080_2016-01-27_final
2016-01-27 11:16:35	ga_ls8c_ard_3-0-0_109081_2016-01-27_final
2016-01-27 11:16:59	ga_ls8c_ard_3-0-0_109082_2016-01-27_final
2016-01-27 11:17:23	ga_ls8c_ard_3-0-0_109083_2016-01-27_final
2016-01-27 11:17:47	ga_ls8c_ard_3-0-0_109084_2016-01-27_final
2016-01-27 11:18:11	ga_ls8c_ard_3-0-0_109085_2016-01-27_final
2016-02-17 11:29:23	ga_ls8c_ard_3-0-0_112067_2016-02-17_final
2016-02-17 11:29:47	ga_ls8c_ard_3-0-0_112068_2016-02-17_final
2016-02-17 11:30:11	ga_ls8c_ard_3-0-0_112069_2016-02-17_final
2016-02-17 11:30:35	ga_ls8c_ard_3-0-0_112070_2016-02-17_final
2016-02-17 11:30:59	ga_ls8c_ard_3-0-0_112071_2016-02-17_final
2016-02-17 11:31:23	ga_ls8c_ard_3-0-0_112072_2016-02-17_final
2016-02-19 11:20:11	ga_ls8c_ard_3-0-0_110075_2016-02-19_final
2016-02-19 11:20:35	ga_ls8c_ard_3-0-0_110076_2016-02-19_final
2016-02-19 11:20:59	ga_ls8c_ard_3-0-0_110077_2016-02-19_final
2016-02-19 11:21:23	ga_ls8c_ard_3-0-0_110078_2016-02-19_final
2016-02-19 11:21:47	ga_ls8c_ard_3-0-0_110079_2016-02-19_final
2016-02-19 11:22:11	ga_ls8c_ard_3-0-0_110080_2016-02-19_final
2016-02-19 11:22:35	ga_ls8c_ard_3-0-0_110081_2016-02-19_final
2016-04-21 11:29:01	ga_ls8c_ard_3-0-0_112067_2016-04-21_final
2016-04-21 11:29:25	ga_ls8c_ard_3-0-0_112068_2016-04-21_final
2016-04-21 11:29:49	ga_ls8c_ard_3-0-0_112069_2016-04-21_final
2016-04-21 11:30:12	ga_ls8c_ard_3-0-0_112070_2016-04-21_final
2016-04-21 11:30:36	ga_ls8c_ard_3-0-0_112071_2016-04-21_final
2016-04-21 11:31:00	ga_ls8c_ard_3-0-0_112072_2016-04-21_final
2016-04-23 11:19:49	ga_ls8c_ard_3-0-0_110075_2016-04-23_final
2016-04-23 11:20:13	ga_ls8c_ard_3-0-0_110076_2016-04-23_final
2016-04-23 11:20:37	ga_ls8c_ard_3-0-0_110077_2016-04-23_final
2016-04-23 11:21:01	ga_ls8c_ard_3-0-0_110078_2016-04-23_final
2016-04-23 11:21:25	ga_ls8c_ard_3-0-0_110079_2016-04-23_final
2016-04-23 11:21:49	ga_ls8c_ard_3-0-0_110080_2016-04-23_final
2016-04-23 11:22:13	ga_ls8c_ard_3-0-0_110081_2016-04-23_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
2018-02-24 11:21:39	ga_ls8c_ard_3-0-0_110079_2018-02-24_final
2018-02-24 11:22:03	ga_ls8c_ard_3-0-0_110080_2018-02-24_final
2018-02-24 11:22:27	ga_ls8c_ard_3-0-0_110081_2018-02-24_final
2018-03-10 11:29:05	ga_ls8c_ard_3-0-0_112067_2018-03-10_final
2018-03-10 11:29:29	ga_ls8c_ard_3-0-0_112068_2018-03-10_final
2018-03-10 11:29:53	ga_ls8c_ard_3-0-0_112069_2018-03-10_final
2018-03-10 11:30:17	ga_ls8c_ard_3-0-0_112070_2018-03-10_final
2018-03-10 11:30:41	ga_ls8c_ard_3-0-0_112071_2018-03-10_final
2018-03-10 11:31:05	ga_ls8c_ard_3-0-0_112072_2018-03-10_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
2018-03-12 11:21:30	ga_ls8c_ard_3-0-0_110079_2018-03-12_final
2018-03-12 11:21:54	ga_ls8c_ard_3-0-0_110080_2018-03-12_final
2018-03-12 11:22:18	ga_ls8c_ard_3-0-0_110081_2018-03-12_final
2018-04-11 11:28:50	ga_ls8c_ard_3-0-0_112067_2018-04-11_final
2018-04-13 11:19:38	ga_ls8c_ard_3-0-0_110075_2018-04-13_final
2018-04-13 11:20:02	ga_ls8c_ard_3-0-0_110076_2018-04-13_final
2018-04-13 11:20:26	ga_ls8c_ard_3-0-0_110077_2018-04-13_final
2018-04-13 11:20:50	ga_ls8c_ard_3-0-0_110078_2018-04-13_final
2018-04-13 11:21:14	ga_ls8c_ard_3-0-0_110079_2018-04-13_final
2018-04-13 11:21:38	ga_ls8c_ard_3-0-0_110080_2018-04-13_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