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
2014-02-20 11:28:29	ga_ls8c_ard_3-0-0_111078_2014-02-20_final
2014-02-20 11:28:53	ga_ls8c_ard_3-0-0_111079_2014-02-20_final
2014-02-20 11:29:17	ga_ls8c_ard_3-0-0_111080_2014-02-20_final
2014-02-20 11:29:41	ga_ls8c_ard_3-0-0_111081_2014-02-20_final
2014-02-20 11:30:05	ga_ls8c_ard_3-0-0_111082_2014-02-20_final
2014-02-20 11:30:29	ga_ls8c_ard_3-0-0_111083_2014-02-20_final
2014-02-25 11:42:33	ga_ls8c_ard_3-0-0_114067_2014-02-25_final
2014-03-29 11:42:04	ga_ls8c_ard_3-0-0_114067_2014-03-29_final
2014-03-31 11:32:05	ga_ls8c_ard_3-0-0_112073_2014-03-31_final
2014-03-31 11:32:29	ga_ls8c_ard_3-0-0_112074_2014-03-31_final
2014-03-31 11:32:53	ga_ls8c_ard_3-0-0_112075_2014-03-31_final
2014-03-31 11:33:17	ga_ls8c_ard_3-0-0_112076_2014-03-31_final
2014-03-31 11:33:41	ga_ls8c_ard_3-0-0_112077_2014-03-31_final
2014-03-31 11:34:05	ga_ls8c_ard_3-0-0_112078_2014-03-31_final
2014-03-31 11:34:29	ga_ls8c_ard_3-0-0_112079_2014-03-31_final
2014-05-18 11:31:23	ga_ls8c_ard_3-0-0_112073_2014-05-18_final
2014-05-18 11:31:47	ga_ls8c_ard_3-0-0_112074_2014-05-18_final
2014-05-18 11:32:11	ga_ls8c_ard_3-0-0_112075_2014-05-18_final
2014-05-18 11:32:35	ga_ls8c_ard_3-0-0_112076_2014-05-18_final
2014-05-18 11:32:59	ga_ls8c_ard_3-0-0_112077_2014-05-18_final
2014-05-18 11:33:23	ga_ls8c_ard_3-0-0_112078_2014-05-18_final
2014-05-18 11:33:47	ga_ls8c_ard_3-0-0_112079_2014-05-18_final
2014-05-20 11:22:37	ga_ls8c_ard_3-0-0_110082_2014-05-20_final
2014-05-20 11:23:01	ga_ls8c_ard_3-0-0_110083_2014-05-20_final
2014-05-20 11:23:25	ga_ls8c_ard_3-0-0_110084_2014-05-20_final
2014-07-03 11:41:37	ga_ls8c_ard_3-0-0_114067_2014-07-03_final
2015-11-29 11:32:01	ga_ls8c_ard_3-0-0_112073_2015-11-29_final
2015-11-29 11:32:25	ga_ls8c_ard_3-0-0_112074_2015-11-29_final
2018-11-14 11:27:13	ga_ls8c_ard_3-0-0_111077_2018-11-14_final
2018-11-14 11:27:37	ga_ls8c_ard_3-0-0_111078_2018-11-14_final
2018-11-14 11:28:01	ga_ls8c_ard_3-0-0_111079_2018-11-14_final
2018-11-14 11:28:25	ga_ls8c_ard_3-0-0_111080_2018-11-14_final
2018-11-14 11:28:49	ga_ls8c_ard_3-0-0_111081_2018-11-14_final
2018-11-14 11:29:13	ga_ls8c_ard_3-0-0_111082_2018-11-14_final
2018-11-14 11:29:37	ga_ls8c_ard_3-0-0_111083_2018-11-14_final
2018-11-16 11:18:03	ga_ls8c_ard_3-0-0_109085_2018-11-16_final
2019-01-17 11:27:31	ga_ls8c_ard_3-0-0_111078_2019-01-17_final
2019-01-17 11:27:55	ga_ls8c_ard_3-0-0_111079_2019-01-17_final
2019-01-17 11:28:18	ga_ls8c_ard_3-0-0_111080_2019-01-17_final
2019-01-17 11:28:42	ga_ls8c_ard_3-0-0_111081_2019-01-17_final
2019-01-17 11:29:06	ga_ls8c_ard_3-0-0_111082_2019-01-17_final
2019-01-17 11:29:30	ga_ls8c_ard_3-0-0_111083_2019-01-17_final
2019-01-19 11:17:56	ga_ls8c_ard_3-0-0_109085_2019-01-19_final
2019-03-04 11:36:55	ga_ls8c_ard_3-0-0_113071_2019-03-04_final
2019-03-04 11:37:19	ga_ls8c_ard_3-0-0_113072_2019-03-04_final
2019-03-04 11:37:43	ga_ls8c_ard_3-1-0_113073_2019-03-04_final
2019-03-04 11:38:07	ga_ls8c_ard_3-0-0_113074_2019-03-04_final
2019-06-08 11:37:02	ga_ls8c_ard_3-0-0_113071_2019-06-08_final
2019-06-08 11:37:26	ga_ls8c_ard_3-0-0_113072_2019-06-08_final
2019-06-08 11:37:50	ga_ls8c_ard_3-0-0_113073_2019-06-08_final
2019-06-08 11:38:14	ga_ls8c_ard_3-0-0_113074_2019-06-08_final
2019-11-17 11:28:01	ga_ls8c_ard_3-1-0_111078_2019-11-17_final
2019-11-17 11:28:25	ga_ls8c_ard_3-1-0_111079_2019-11-17_final
2019-11-17 11:28:49	ga_ls8c_ard_3-1-0_111080_2019-11-17_final
2019-11-17 11:29:13	ga_ls8c_ard_3-1-0_111081_2019-11-17_final
2019-11-17 11:29:37	ga_ls8c_ard_3-1-0_111082_2019-11-17_final
2019-11-17 11:30:01	ga_ls8c_ard_3-1-0_111083_2019-11-17_final
2020-01-02 11:37:28	ga_ls8c_ard_3-1-0_113071_2020-01-02_final
2020-01-02 11:37:52	ga_ls8c_ard_3-1-0_113072_2020-01-02_final
2020-01-02 11:38:16	ga_ls8c_ard_3-1-0_113073_2020-01-02_final
2020-01-02 11:38:40	ga_ls8c_ard_3-1-0_113074_2020-01-02_final
2020-02-12 11:31:55	ga_ls8c_ard_3-1-0_112073_2020-02-12_final
2020-02-12 11:32:19	ga_ls8c_ard_3-1-0_112074_2020-02-12_final
2020-02-12 11:32:42	ga_ls8c_ard_3-1-0_112075_2020-02-12_final
2020-02-12 11:33:06	ga_ls8c_ard_3-1-0_112076_2020-02-12_final
2020-02-12 11:33:30	ga_ls8c_ard_3-1-0_112077_2020-02-12_final
2020-02-12 11:33:54	ga_ls8c_ard_3-1-0_112078_2020-02-12_final
2020-02-12 11:34:18	ga_ls8c_ard_3-1-0_112079_2020-02-12_final
2020-02-14 11:23:08	ga_ls8c_ard_3-1-0_110082_2020-02-14_final
2020-02-14 11:23:32	ga_ls8c_ard_3-1-0_110083_2020-02-14_final
2020-02-14 11:23:56	ga_ls8c_ard_3-1-0_110084_2020-02-14_final
2020-02-14 11:24:20	ga_ls8c_ard_3-1-0_110085_2020-02-14_final
2020-06-21 11:22:48	ga_ls8c_ard_3-1-0_110082_2020-06-21_final
2020-06-21 11:23:12	ga_ls8c_ard_3-1-0_110083_2020-06-21_final
2020-06-21 11:23:36	ga_ls8c_ard_3-1-0_110084_2020-06-21_final
2020-06-21 11:24:00	ga_ls8c_ard_3-1-0_110085_2020-06-21_final
2020-07-07 11:22:55	ga_ls8c_ard_3-1-0_110082_2020-07-07_final
2020-07-07 11:23:19	ga_ls8c_ard_3-1-0_110083_2020-07-07_final
2020-07-07 11:23:43	ga_ls8c_ard_3-1-0_110084_2020-07-07_final
2020-07-07 11:24:07	ga_ls8c_ard_3-1-0_110085_2020-07-07_final
2020-07-28 11:37:35	ga_ls8c_ard_3-1-0_113072_2020-07-28_final
2020-07-28 11:37:59	ga_ls8c_ard_3-1-0_113073_2020-07-28_final
2020-07-28 11:38:23	ga_ls8c_ard_3-1-0_113074_2020-07-28_final
2020-09-09 11:23:18	ga_ls8c_ard_3-1-0_110082_2020-09-09_final
2020-09-09 11:23:42	ga_ls8c_ard_3-1-0_110083_2020-09-09_final
2020-09-09 11:24:06	ga_ls8c_ard_3-1-0_110084_2020-09-09_final
2020-09-09 11:24:30	ga_ls8c_ard_3-1-0_110085_2020-09-09_final
2020-09-23 11:32:09	ga_ls8c_ard_3-1-0_112073_2020-09-23_final
2020-09-23 11:32:33	ga_ls8c_ard_3-1-0_112074_2020-09-23_final
2020-09-23 11:32:57	ga_ls8c_ard_3-1-0_112075_2020-09-23_final
2020-09-23 11:33:21	ga_ls8c_ard_3-1-0_112076_2020-09-23_final
2020-09-23 11:33:45	ga_ls8c_ard_3-1-0_112077_2020-09-23_final
2020-09-23 11:34:09	ga_ls8c_ard_3-1-0_112078_2020-09-23_final
2020-09-23 11:34:33	ga_ls8c_ard_3-1-0_112079_2020-09-23_final
2020-09-25 11:23:23	ga_ls8c_ard_3-1-0_110082_2020-09-25_final
2020-09-25 11:23:47	ga_ls8c_ard_3-1-0_110083_2020-09-25_final
2020-09-25 11:24:11	ga_ls8c_ard_3-1-0_110084_2020-09-25_final
2020-09-25 11:24:35	ga_ls8c_ard_3-1-0_110085_2020-09-25_final
2020-09-30 11:37:57	ga_ls8c_ard_3-1-0_113072_2020-09-30_final
2020-09-30 11:38:21	ga_ls8c_ard_3-1-0_113073_2020-09-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years