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
2015-02-16 11:22:54	ga_ls8c_ard_3-0-0_110082_2015-02-16_final
2015-02-16 11:23:18	ga_ls8c_ard_3-0-0_110083_2015-02-16_final
2015-02-16 11:23:42	ga_ls8c_ard_3-0-0_110084_2015-02-16_final
2015-02-28 11:41:37	ga_ls8c_ard_3-0-0_114067_2015-02-28_final
2017-04-15 11:37:06	ga_ls8c_ard_3-0-0_113072_2017-04-15_final
2017-04-15 11:37:30	ga_ls8c_ard_3-1-0_113073_2017-04-15_final
2017-04-15 11:37:54	ga_ls8c_ard_3-0-0_113074_2017-04-15_final
2017-04-26 11:22:26	ga_ls8c_ard_3-0-0_110082_2017-04-26_final
2017-04-26 11:22:50	ga_ls8c_ard_3-0-0_110083_2017-04-26_final
2017-04-26 11:23:14	ga_ls8c_ard_3-0-0_110084_2017-04-26_final
2017-04-26 11:23:38	ga_ls8c_ard_3-0-0_110085_2017-04-26_final
2017-05-08 11:41:11	ga_ls8c_ard_3-0-0_114067_2017-05-08_final
2017-05-10 11:31:14	ga_ls8c_ard_3-0-0_112073_2017-05-10_final
2017-05-10 11:31:38	ga_ls8c_ard_3-0-0_112074_2017-05-10_final
2017-05-10 11:32:02	ga_ls8c_ard_3-0-0_112075_2017-05-10_final
2017-05-10 11:32:26	ga_ls8c_ard_3-0-0_112076_2017-05-10_final
2017-05-10 11:32:50	ga_ls8c_ard_3-0-0_112077_2017-05-10_final
2017-05-10 11:33:14	ga_ls8c_ard_3-0-0_112078_2017-05-10_final
2017-05-10 11:33:38	ga_ls8c_ard_3-0-0_112079_2017-05-10_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 11:26:55	ga_ls8c_ard_3-0-0_111077_2017-06-04_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
2017-06-09 11:41:30	ga_ls8c_ard_3-0-0_114067_2017-06-09_final
2017-06-13 11:22:23	ga_ls8c_ard_3-0-0_110081_2017-06-13_final
2017-06-13 11:22:47	ga_ls8c_ard_3-0-0_110082_2017-06-13_final
2017-06-13 11:23:11	ga_ls8c_ard_3-0-0_110083_2017-06-13_final
2017-06-13 11:23:35	ga_ls8c_ard_3-0-0_110084_2017-06-13_final
2017-06-13 11:23:59	ga_ls8c_ard_3-0-0_110085_2017-06-13_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
2017-07-20 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
2017-07-22 11:27:10	ga_ls8c_ard_3-0-0_111077_2017-07-22_final
2017-07-22 11:27:34	ga_ls8c_ard_3-0-0_111078_2017-07-22_final
2017-07-22 11:27:58	ga_ls8c_ard_3-0-0_111079_2017-07-22_final
2017-07-22 11:28:22	ga_ls8c_ard_3-0-0_111080_2017-07-22_final
2017-07-22 11:28:46	ga_ls8c_ard_3-0-0_111081_2017-07-22_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2017-07-22 11:29:34	ga_ls8c_ard_3-0-0_111083_2017-07-22_final
2017-08-16 11:22:45	ga_ls8c_ard_3-0-0_110081_2017-08-16_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
2020-07-23 11:22:37	ga_ls8c_ard_3-1-0_110081_2020-07-23_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
2020-08-13 11:37:38	ga_ls8c_ard_3-1-0_113072_2020-08-13_final
2020-08-13 11:38:02	ga_ls8c_ard_3-1-0_113073_2020-08-13_final
2020-08-13 11:38:26	ga_ls8c_ard_3-1-0_113074_2020-08-13_final
2020-08-20 11:41:53	ga_ls8c_ard_3-1-0_114067_2020-08-20_final
2020-08-22 11:31:56	ga_ls8c_ard_3-1-0_112073_2020-08-22_final
2020-08-22 11:32:20	ga_ls8c_ard_3-1-0_112074_2020-08-22_final
2020-08-22 11:32:44	ga_ls8c_ard_3-1-0_112075_2020-08-22_final
2020-08-22 11:33:08	ga_ls8c_ard_3-1-0_112076_2020-08-22_final
2020-08-22 11:33:32	ga_ls8c_ard_3-1-0_112077_2020-08-22_final
2020-08-22 11:33:56	ga_ls8c_ard_3-1-0_112078_2020-08-22_final
2020-08-22 11:34:20	ga_ls8c_ard_3-1-0_112079_2020-08-22_final
2020-08-29 11:37:47	ga_ls8c_ard_3-1-0_113072_2020-08-29_final
2020-08-29 11:38:11	ga_ls8c_ard_3-1-0_113073_2020-08-29_final
2020-08-29 11:38:35	ga_ls8c_ard_3-1-0_113074_2020-08-29_final
2020-10-02 11:27:36	ga_ls8c_ard_3-1-0_111077_2020-10-02_final
2020-10-02 11:28:00	ga_ls8c_ard_3-1-0_111078_2020-10-02_final
2020-10-02 11:28:24	ga_ls8c_ard_3-1-0_111079_2020-10-02_final
2020-10-02 11:28:48	ga_ls8c_ard_3-1-0_111080_2020-10-02_final
2020-10-02 11:29:12	ga_ls8c_ard_3-1-0_111081_2020-10-02_final
2020-10-02 11:29:36	ga_ls8c_ard_3-1-0_111082_2020-10-02_final
2020-10-02 11:30:00	ga_ls8c_ard_3-1-0_111083_2020-10-02_final
2020-10-18 11:27:37	ga_ls8c_ard_3-1-0_111077_2020-10-18_final
2020-10-18 11:28:01	ga_ls8c_ard_3-1-0_111078_2020-10-18_final
2020-10-18 11:28:25	ga_ls8c_ard_3-1-0_111079_2020-10-18_final
2020-10-18 11:28:49	ga_ls8c_ard_3-1-0_111080_2020-10-18_final
2020-10-18 11:29:13	ga_ls8c_ard_3-1-0_111081_2020-10-18_final
2020-10-18 11:29:37	ga_ls8c_ard_3-1-0_111082_2020-10-18_final
2020-10-18 11:30:01	ga_ls8c_ard_3-1-0_111083_2020-10-18_final
2020-11-10 11:32:09	ga_ls8c_ard_3-1-0_112073_2020-11-10_final
2020-11-10 11:32:33	ga_ls8c_ard_3-1-0_112074_2020-11-10_final
2020-11-10 11:32:57	ga_ls8c_ard_3-1-0_112075_2020-11-10_final
2020-11-10 11:33:21	ga_ls8c_ard_3-1-0_112076_2020-11-10_final
2020-11-10 11:33:45	ga_ls8c_ard_3-1-0_112077_2020-11-10_final
2020-11-10 11:34:09	ga_ls8c_ard_3-1-0_112078_2020-11-10_final
2020-11-10 11:34:33	ga_ls8c_ard_3-1-0_112079_2020-11-10_final
2020-11-21 11:18:26	ga_ls8c_ard_3-1-0_109085_2020-11-21_final
2020-12-26 11:42:09	ga_ls8c_ard_3-2-0_114067_2020-12-26_final
2021-11-22 11:27:37	ga_ls8c_ard_3-2-0_111077_2021-11-22_final
2021-11-22 11:28:25	ga_ls8c_ard_3-2-0_111079_2021-11-22_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