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
2017-03-23 11:31:54	ga_ls8c_ard_3-0-0_112074_2017-03-23_final
2017-03-23 11:32:18	ga_ls8c_ard_3-0-0_112075_2017-03-23_final
2017-03-23 11:32:42	ga_ls8c_ard_3-0-0_112076_2017-03-23_final
2017-03-23 11:33:06	ga_ls8c_ard_3-0-0_112077_2017-03-23_final
2017-03-23 11:33:30	ga_ls8c_ard_3-0-0_112078_2017-03-23_final
2017-03-23 11:33:54	ga_ls8c_ard_3-0-0_112079_2017-03-23_final
2017-04-22 11:41:13	ga_ls8c_ard_3-0-0_114067_2017-04-22_final
2017-04-24 11:31:13	ga_ls8c_ard_3-0-0_112073_2017-04-24_final
2017-04-24 11:31:37	ga_ls8c_ard_3-0-0_112074_2017-04-24_final
2017-04-24 11:32:01	ga_ls8c_ard_3-0-0_112075_2017-04-24_final
2017-04-24 11:32:25	ga_ls8c_ard_3-0-0_112076_2017-04-24_final
2017-04-24 11:32:49	ga_ls8c_ard_3-0-0_112077_2017-04-24_final
2017-04-24 11:33:13	ga_ls8c_ard_3-0-0_112078_2017-04-24_final
2017-04-24 11:33:37	ga_ls8c_ard_3-0-0_112079_2017-04-24_final
2017-05-08 11:41:11	ga_ls8c_ard_3-0-0_114067_2017-05-08_final
2017-06-02 11:37:16	ga_ls8c_ard_3-0-0_113072_2017-06-02_final
2017-06-02 11:37:40	ga_ls8c_ard_3-1-0_113073_2017-06-02_final
2017-06-02 11:38:03	ga_ls8c_ard_3-0-0_113074_2017-06-02_final
2017-06-04 11:27:19	ga_ls8c_ard_3-0-0_111078_2017-06-04_final
2017-06-04 11:27:42	ga_ls8c_ard_3-0-0_111079_2017-06-04_final
2017-06-04 11:28:06	ga_ls8c_ard_3-0-0_111080_2017-06-04_final
2017-06-04 11:28:30	ga_ls8c_ard_3-0-0_111081_2017-06-04_final
2017-06-04 11:28:54	ga_ls8c_ard_3-0-0_111082_2017-06-04_final
2017-06-04 11:29:18	ga_ls8c_ard_3-0-0_111083_2017-06-04_final
2017-06-25 11:41:35	ga_ls8c_ard_3-0-0_114067_2017-06-25_final
2017-06-27 11:31:38	ga_ls8c_ard_3-0-0_112073_2017-06-27_final
2017-06-27 11:32:02	ga_ls8c_ard_3-0-0_112074_2017-06-27_final
2017-06-27 11:32:26	ga_ls8c_ard_3-0-0_112075_2017-06-27_final
2017-06-27 11:32:50	ga_ls8c_ard_3-0-0_112076_2017-06-27_final
2017-06-27 11:33:14	ga_ls8c_ard_3-0-0_112077_2017-06-27_final
2017-06-27 11:33:37	ga_ls8c_ard_3-0-0_112078_2017-06-27_final
2017-06-27 11:34:01	ga_ls8c_ard_3-0-0_112079_2017-06-27_final
2017-07-20 11:37:31	ga_ls8c_ard_3-0-0_113072_2017-07-20_final
2017-07-20 11:37:55	ga_ls8c_ard_3-1-0_113073_2017-07-20_final
2017-07-20 11:38:19	ga_ls8c_ard_3-0-0_113074_2017-07-20_final
2017-08-12 11:41:52	ga_ls8c_ard_3-0-0_114067_2017-08-12_final
2017-08-16 11:23:09	ga_ls8c_ard_3-0-0_110082_2017-08-16_final
2017-08-16 11:23:33	ga_ls8c_ard_3-0-0_110083_2017-08-16_final
2017-08-16 11:23:57	ga_ls8c_ard_3-0-0_110084_2017-08-16_final
2017-08-16 11:24:21	ga_ls8c_ard_3-0-0_110085_2017-08-16_final
2017-08-30 11:31:58	ga_ls8c_ard_3-0-0_112073_2017-08-30_final
2017-08-30 11:32:22	ga_ls8c_ard_3-0-0_112074_2017-08-30_final
2017-08-30 11:32:46	ga_ls8c_ard_3-0-0_112075_2017-08-30_final
2017-08-30 11:33:10	ga_ls8c_ard_3-0-0_112076_2017-08-30_final
2017-08-30 11:33:34	ga_ls8c_ard_3-0-0_112077_2017-08-30_final
2017-08-30 11:33:58	ga_ls8c_ard_3-0-0_112078_2017-08-30_final
2017-08-30 11:34:22	ga_ls8c_ard_3-0-0_112079_2017-08-30_final
2017-10-12 11:18:24	ga_ls8c_ard_3-0-0_109085_2017-10-12_final
2018-01-12 11:37:43	ga_ls8c_ard_3-0-0_113072_2018-01-12_final
2018-01-12 11:38:07	ga_ls8c_ard_3-0-0_113073_2018-01-12_final
2018-01-12 11:38:31	ga_ls8c_ard_3-0-0_113074_2018-01-12_final
2019-04-12 11:41:19	ga_ls8c_ard_3-1-0_114067_2019-04-12_final
2019-04-14 11:31:20	ga_ls8c_ard_3-1-0_112073_2019-04-14_final
2019-04-14 11:31:44	ga_ls8c_ard_3-1-0_112074_2019-04-14_final
2019-04-14 11:32:08	ga_ls8c_ard_3-1-0_112075_2019-04-14_final
2019-04-14 11:32:32	ga_ls8c_ard_3-1-0_112076_2019-04-14_final
2019-04-14 11:32:56	ga_ls8c_ard_3-1-0_112077_2019-04-14_final
2019-04-14 11:33:20	ga_ls8c_ard_3-1-0_112078_2019-04-14_final
2019-04-14 11:33:44	ga_ls8c_ard_3-1-0_112079_2019-04-14_final
2019-05-14 11:41:24	ga_ls8c_ard_3-0-0_114067_2019-05-14_final
2019-05-16 11:31:27	ga_ls8c_ard_3-0-0_112073_2019-05-16_final
2019-05-16 11:31:51	ga_ls8c_ard_3-0-0_112074_2019-05-16_final
2019-05-16 11:32:15	ga_ls8c_ard_3-0-0_112075_2019-05-16_final
2019-05-16 11:32:39	ga_ls8c_ard_3-0-0_112076_2019-05-16_final
2019-05-16 11:33:03	ga_ls8c_ard_3-0-0_112077_2019-05-16_final
2019-05-16 11:33:27	ga_ls8c_ard_3-0-0_112078_2019-05-16_final
2019-05-16 11:33:51	ga_ls8c_ard_3-0-0_112079_2019-05-16_final
2019-05-30 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-05-30_final
2019-06-01 11:31:36	ga_ls8c_ard_3-0-0_112073_2019-06-01_final
2019-06-01 11:32:00	ga_ls8c_ard_3-0-0_112074_2019-06-01_final
2019-06-01 11:32:24	ga_ls8c_ard_3-0-0_112075_2019-06-01_final
2019-06-01 11:32:47	ga_ls8c_ard_3-0-0_112076_2019-06-01_final
2019-06-01 11:33:11	ga_ls8c_ard_3-0-0_112077_2019-06-01_final
2019-06-01 11:33:35	ga_ls8c_ard_3-0-0_112078_2019-06-01_final
2019-06-01 11:33:59	ga_ls8c_ard_3-0-0_112079_2019-06-01_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
2019-06-10 11:27:28	ga_ls8c_ard_3-0-0_111078_2019-06-10_final
2019-06-10 11:27:52	ga_ls8c_ard_3-0-0_111079_2019-06-10_final
2019-06-10 11:28:16	ga_ls8c_ard_3-0-0_111080_2019-06-10_final
2019-06-10 11:28:40	ga_ls8c_ard_3-0-0_111081_2019-06-10_final
2019-06-10 11:29:04	ga_ls8c_ard_3-0-0_111082_2019-06-10_final
2019-06-10 11:29:28	ga_ls8c_ard_3-0-0_111083_2019-06-10_final
2019-10-09 11:23:29	ga_ls8c_ard_3-1-0_110082_2019-10-09_final
2019-10-09 11:23:52	ga_ls8c_ard_3-1-0_110083_2019-10-09_final
2019-10-09 11:24:16	ga_ls8c_ard_3-1-0_110084_2019-10-09_final
2019-10-09 11:24:40	ga_ls8c_ard_3-1-0_110085_2019-10-09_final
2019-11-26 11:23:25	ga_ls8c_ard_3-1-0_110082_2019-11-26_final
2019-11-26 11:23:49	ga_ls8c_ard_3-1-0_110083_2019-11-26_final
2019-11-26 11:24:13	ga_ls8c_ard_3-1-0_110084_2019-11-26_final
2019-11-26 11:24:37	ga_ls8c_ard_3-1-0_110085_2019-11-26_final
2019-12-01 11:37:34	ga_ls8c_ard_3-1-0_113071_2019-12-01_final
2019-12-01 11:37:58	ga_ls8c_ard_3-1-0_113072_2019-12-01_final
2019-12-01 11:38:22	ga_ls8c_ard_3-1-0_113073_2019-12-01_final
2019-12-01 11:38:46	ga_ls8c_ard_3-1-0_113074_2019-12-01_final
2019-12-03 11:28:00	ga_ls8c_ard_3-1-0_111078_2019-12-03_final
2019-12-03 11:28:24	ga_ls8c_ard_3-1-0_111079_2019-12-03_final
2019-12-03 11:28:48	ga_ls8c_ard_3-1-0_111080_2019-12-03_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