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
2014-02-11 11:35:33	ga_ls8c_ard_3-0-0_112080_2014-02-11_final
2014-02-13 11:24:21	ga_ls8c_ard_3-0-0_110083_2014-02-13_final
2014-02-13 11:24:45	ga_ls8c_ard_3-0-0_110084_2014-02-13_final
2014-04-23 11:38:19	ga_ls8c_ard_3-0-0_113074_2014-04-23_final
2014-04-23 11:38:43	ga_ls8c_ard_3-0-0_113075_2014-04-23_final
2014-06-26 11:37:21	ga_ls8c_ard_3-0-0_113072_2014-06-26_final
2014-06-26 11:37:45	ga_ls8c_ard_3-0-0_113073_2014-06-26_final
2014-06-26 11:38:09	ga_ls8c_ard_3-0-0_113074_2014-06-26_final
2014-06-26 11:38:33	ga_ls8c_ard_3-0-0_113075_2014-06-26_final
2017-07-15 11:22:55	ga_ls8c_ard_3-0-0_110082_2017-07-15_final
2017-07-29 11:32:12	ga_ls8c_ard_3-0-0_112074_2017-07-29_final
2017-07-29 11:32:36	ga_ls8c_ard_3-0-0_112075_2017-07-29_final
2017-07-29 11:33:00	ga_ls8c_ard_3-0-0_112076_2017-07-29_final
2017-07-29 11:33:24	ga_ls8c_ard_3-0-0_112077_2017-07-29_final
2017-07-29 11:33:48	ga_ls8c_ard_3-0-0_112078_2017-07-29_final
2017-07-29 11:34:12	ga_ls8c_ard_3-0-0_112079_2017-07-29_final
2017-07-29 11:34:36	ga_ls8c_ard_3-0-0_112080_2017-07-29_final
2017-08-14 11:32:18	ga_ls8c_ard_3-0-0_112074_2017-08-14_final
2017-08-14 11:32:42	ga_ls8c_ard_3-0-0_112075_2017-08-14_final
2017-08-14 11:33:06	ga_ls8c_ard_3-0-0_112076_2017-08-14_final
2017-08-14 11:33:30	ga_ls8c_ard_3-0-0_112077_2017-08-14_final
2017-08-14 11:33:54	ga_ls8c_ard_3-0-0_112078_2017-08-14_final
2017-08-14 11:34:18	ga_ls8c_ard_3-0-0_112079_2017-08-14_final
2017-08-14 11:34:42	ga_ls8c_ard_3-0-0_112080_2017-08-14_final
2019-10-30 11:37:39	ga_ls8c_ard_3-1-0_113071_2019-10-30_final
2019-10-30 11:38:02	ga_ls8c_ard_3-1-0_113072_2019-10-30_final
2019-10-30 11:38:26	ga_ls8c_ard_3-1-0_113073_2019-10-30_final
2019-10-30 11:38:50	ga_ls8c_ard_3-1-0_113074_2019-10-30_final
2019-10-30 11:39:14	ga_ls8c_ard_3-1-0_113075_2019-10-30_final
2019-11-06 11:42:13	ga_ls8c_ard_3-1-0_114067_2019-11-06_final
2019-11-15 11:37:36	ga_ls8c_ard_3-1-0_113071_2019-11-15_final
2019-11-15 11:38:00	ga_ls8c_ard_3-1-0_113072_2019-11-15_final
2019-11-15 11:38:24	ga_ls8c_ard_3-1-0_113073_2019-11-15_final
2019-11-15 11:38:48	ga_ls8c_ard_3-1-0_113074_2019-11-15_final
2019-11-15 11:39:12	ga_ls8c_ard_3-1-0_113075_2019-11-15_final
2019-12-08 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-12-08_final
2019-12-10 11:32:34	ga_ls8c_ard_3-1-0_112074_2019-12-10_final
2019-12-10 11:32:58	ga_ls8c_ard_3-1-0_112075_2019-12-10_final
2019-12-10 11:33:22	ga_ls8c_ard_3-1-0_112076_2019-12-10_final
2019-12-10 11:33:46	ga_ls8c_ard_3-1-0_112077_2019-12-10_final
2019-12-10 11:34:10	ga_ls8c_ard_3-1-0_112078_2019-12-10_final
2019-12-10 11:34:34	ga_ls8c_ard_3-1-0_112079_2019-12-10_final
2019-12-10 11:34:58	ga_ls8c_ard_3-1-0_112080_2019-12-10_final
2019-12-26 11:32:31	ga_ls8c_ard_3-1-0_112074_2019-12-26_final
2019-12-26 11:32:55	ga_ls8c_ard_3-1-0_112075_2019-12-26_final
2019-12-26 11:33:19	ga_ls8c_ard_3-1-0_112076_2019-12-26_final
2019-12-26 11:33:43	ga_ls8c_ard_3-1-0_112077_2019-12-26_final
2019-12-26 11:34:07	ga_ls8c_ard_3-1-0_112078_2019-12-26_final
2019-12-26 11:34:31	ga_ls8c_ard_3-1-0_112079_2019-12-26_final
2019-12-26 11:34:55	ga_ls8c_ard_3-1-0_112080_2019-12-26_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
2020-01-02 11:39:03	ga_ls8c_ard_3-1-0_113075_2020-01-02_final
2020-01-09 11:42:02	ga_ls8c_ard_3-1-0_114067_2020-01-09_final
2020-01-18 11:37:25	ga_ls8c_ard_3-1-0_113071_2020-01-18_final
2020-01-18 11:37:49	ga_ls8c_ard_3-1-0_113072_2020-01-18_final
2020-01-18 11:38:13	ga_ls8c_ard_3-1-0_113073_2020-01-18_final
2020-01-18 11:38:37	ga_ls8c_ard_3-1-0_113074_2020-01-18_final
2020-01-18 11:39:00	ga_ls8c_ard_3-1-0_113075_2020-01-18_final
2020-01-25 11:41:58	ga_ls8c_ard_3-1-0_114067_2020-01-25_final
2020-02-03 11:37:19	ga_ls8c_ard_3-1-0_113071_2020-02-03_final
2020-02-03 11:37:43	ga_ls8c_ard_3-1-0_113072_2020-02-03_final
2020-02-03 11:38:07	ga_ls8c_ard_3-1-0_113073_2020-02-03_final
2020-02-03 11:38:31	ga_ls8c_ard_3-1-0_113074_2020-02-03_final
2020-02-03 11:38:55	ga_ls8c_ard_3-1-0_113075_2020-02-03_final
2020-02-10 11:41:53	ga_ls8c_ard_3-1-0_114067_2020-02-10_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
2020-02-12 11:34:42	ga_ls8c_ard_3-1-0_112080_2020-02-12_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
2020-06-26 11:37:23	ga_ls8c_ard_3-1-0_113072_2020-06-26_final
2020-06-26 11:37:47	ga_ls8c_ard_3-1-0_113073_2020-06-26_final
2020-06-26 11:38:11	ga_ls8c_ard_3-1-0_113074_2020-06-26_final
2020-06-26 11:38:35	ga_ls8c_ard_3-1-0_113075_2020-06-26_final
2020-06-28 11:27:26	ga_ls8c_ard_3-1-0_111078_2020-06-28_final
2020-06-28 11:27:50	ga_ls8c_ard_3-1-0_111079_2020-06-28_final
2020-06-28 11:28:14	ga_ls8c_ard_3-1-0_111080_2020-06-28_final
2020-06-28 11:28:38	ga_ls8c_ard_3-1-0_111081_2020-06-28_final
2020-06-28 11:29:02	ga_ls8c_ard_3-1-0_111082_2020-06-28_final
2020-06-28 11:29:26	ga_ls8c_ard_3-1-0_111083_2020-06-28_final
2020-06-28 11:29:50	ga_ls8c_ard_3-1-0_111084_2020-06-28_final
2020-07-23 11:23:01	ga_ls8c_ard_3-1-0_110082_2020-07-23_final
2020-07-23 11:23:24	ga_ls8c_ard_3-1-0_110083_2020-07-23_final
2020-07-23 11:23:48	ga_ls8c_ard_3-1-0_110084_2020-07-23_final
2020-07-23 11:24:12	ga_ls8c_ard_3-1-0_110085_2020-07-23_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

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