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
2015-02-21 11:35:28	ga_ls8c_ard_3-0-0_113067_2015-02-21_final
2015-02-21 11:37:28	ga_ls8c_ard_3-0-0_113072_2015-02-21_final
2015-02-21 11:37:51	ga_ls8c_ard_3-0-0_113073_2015-02-21_final
2015-04-14 11:17:30	ga_ls8c_ard_3-0-0_109085_2015-04-14_final
2015-04-21 11:22:04	ga_ls8c_ard_3-0-0_110081_2015-04-21_final
2015-04-21 11:22:28	ga_ls8c_ard_3-0-0_110082_2015-04-21_final
2015-04-21 11:22:52	ga_ls8c_ard_3-0-0_110083_2015-04-21_final
2015-04-21 11:23:16	ga_ls8c_ard_3-0-0_110084_2015-04-21_final
2015-04-21 11:23:39	ga_ls8c_ard_3-0-0_110085_2015-04-21_final
2015-05-05 11:30:37	ga_ls8c_ard_3-0-0_112072_2015-05-05_final
2015-05-05 11:31:01	ga_ls8c_ard_3-0-0_112073_2015-05-05_final
2015-05-05 11:31:25	ga_ls8c_ard_3-0-0_112074_2015-05-05_final
2015-05-05 11:31:49	ga_ls8c_ard_3-0-0_112075_2015-05-05_final
2015-05-05 11:32:13	ga_ls8c_ard_3-0-0_112076_2015-05-05_final
2015-05-05 11:32:37	ga_ls8c_ard_3-0-0_112077_2015-05-05_final
2015-05-05 11:33:01	ga_ls8c_ard_3-0-0_112078_2015-05-05_final
2015-05-07 11:21:49	ga_ls8c_ard_3-0-0_110081_2015-05-07_final
2015-05-07 11:22:13	ga_ls8c_ard_3-0-0_110082_2015-05-07_final
2015-05-07 11:22:37	ga_ls8c_ard_3-0-0_110083_2015-05-07_final
2015-05-07 11:23:01	ga_ls8c_ard_3-0-0_110084_2015-05-07_final
2015-05-07 11:23:24	ga_ls8c_ard_3-0-0_110085_2015-05-07_final
2015-06-01 11:16:50	ga_ls8c_ard_3-0-0_109084_2015-06-01_final
2015-06-01 11:17:14	ga_ls8c_ard_3-0-0_109085_2015-06-01_final
2015-06-13 11:34:55	ga_ls8c_ard_3-0-0_113067_2015-06-13_final
2015-06-13 11:36:55	ga_ls8c_ard_3-0-0_113072_2015-06-13_final
2015-06-13 11:37:19	ga_ls8c_ard_3-0-0_113073_2015-06-13_final
2015-06-15 11:26:34	ga_ls8c_ard_3-0-0_111077_2015-06-15_final
2015-06-15 11:26:58	ga_ls8c_ard_3-0-0_111078_2015-06-15_final
2015-06-15 11:27:22	ga_ls8c_ard_3-0-0_111079_2015-06-15_final
2015-06-15 11:27:46	ga_ls8c_ard_3-0-0_111080_2015-06-15_final
2015-06-15 11:28:10	ga_ls8c_ard_3-0-0_111081_2015-06-15_final
2015-06-15 11:28:34	ga_ls8c_ard_3-0-0_111082_2015-06-15_final
2015-06-22 11:30:47	ga_ls8c_ard_3-0-0_112072_2015-06-22_final
2015-06-22 11:31:11	ga_ls8c_ard_3-0-0_112073_2015-06-22_final
2015-06-22 11:31:35	ga_ls8c_ard_3-0-0_112074_2015-06-22_final
2015-06-22 11:31:59	ga_ls8c_ard_3-0-0_112075_2015-06-22_final
2015-06-22 11:32:23	ga_ls8c_ard_3-0-0_112076_2015-06-22_final
2015-06-22 11:32:47	ga_ls8c_ard_3-0-0_112077_2015-06-22_final
2015-06-22 11:33:11	ga_ls8c_ard_3-0-0_112078_2015-06-22_final
2015-06-29 11:35:02	ga_ls8c_ard_3-0-0_113067_2015-06-29_final
2015-06-29 11:37:01	ga_ls8c_ard_3-0-0_113072_2015-06-29_final
2015-06-29 11:37:25	ga_ls8c_ard_3-0-0_113073_2015-06-29_final
2015-07-03 11:17:08	ga_ls8c_ard_3-0-0_109084_2015-07-03_final
2015-07-03 11:17:32	ga_ls8c_ard_3-0-0_109085_2015-07-03_final
2015-07-15 11:35:12	ga_ls8c_ard_3-0-0_113067_2015-07-15_final
2015-07-15 11:37:12	ga_ls8c_ard_3-0-0_113072_2015-07-15_final
2015-07-15 11:37:36	ga_ls8c_ard_3-1-0_113073_2015-07-15_final
2015-07-17 11:26:50	ga_ls8c_ard_3-0-0_111077_2015-07-17_final
2015-07-17 11:27:14	ga_ls8c_ard_3-0-0_111078_2015-07-17_final
2015-07-17 11:27:38	ga_ls8c_ard_3-0-0_111079_2015-07-17_final
2015-07-17 11:28:02	ga_ls8c_ard_3-0-0_111080_2015-07-17_final
2015-07-17 11:28:26	ga_ls8c_ard_3-0-0_111081_2015-07-17_final
2015-07-17 11:28:50	ga_ls8c_ard_3-0-0_111082_2015-07-17_final
2015-08-18 11:27:01	ga_ls8c_ard_3-0-0_111077_2015-08-18_final
2015-08-18 11:27:25	ga_ls8c_ard_3-0-0_111078_2015-08-18_final
2015-08-18 11:27:49	ga_ls8c_ard_3-0-0_111079_2015-08-18_final
2015-08-18 11:28:13	ga_ls8c_ard_3-0-0_111080_2015-08-18_final
2015-08-18 11:28:37	ga_ls8c_ard_3-0-0_111081_2015-08-18_final
2015-08-18 11:29:01	ga_ls8c_ard_3-0-0_111082_2015-08-18_final
2016-01-16 11:31:33	ga_ls8c_ard_3-0-0_112072_2016-01-16_final
2016-01-16 11:31:57	ga_ls8c_ard_3-0-0_112073_2016-01-16_final
2016-01-16 11:32:21	ga_ls8c_ard_3-0-0_112074_2016-01-16_final
2016-01-16 11:32:45	ga_ls8c_ard_3-0-0_112075_2016-01-16_final
2016-01-16 11:33:09	ga_ls8c_ard_3-0-0_112076_2016-01-16_final
2016-01-16 11:33:33	ga_ls8c_ard_3-0-0_112077_2016-01-16_final
2016-01-16 11:33:57	ga_ls8c_ard_3-0-0_112078_2016-01-16_final
2016-04-28 11:35:13	ga_ls8c_ard_3-0-0_113067_2016-04-28_final
2016-04-28 11:37:12	ga_ls8c_ard_3-0-0_113072_2016-04-28_final
2016-04-28 11:37:36	ga_ls8c_ard_3-0-0_113073_2016-04-28_final
2018-11-28 11:35:35	ga_ls8c_ard_3-0-0_113067_2018-11-28_final
2018-11-28 11:37:34	ga_ls8c_ard_3-0-0_113072_2018-11-28_final
2018-11-28 11:37:58	ga_ls8c_ard_3-1-0_113073_2018-11-28_final
2018-12-30 11:35:32	ga_ls8c_ard_3-0-0_113067_2018-12-30_final
2018-12-30 11:37:31	ga_ls8c_ard_3-0-0_113072_2018-12-30_final
2018-12-30 11:37:55	ga_ls8c_ard_3-1-0_113073_2018-12-30_final
2023-09-16 11:31:32	ga_ls8c_ard_3-2-1_112072_2023-09-16_final
2023-09-16 11:31:56	ga_ls8c_ard_3-2-1_112073_2023-09-16_final
2023-09-16 11:33:08	ga_ls8c_ard_3-2-1_112076_2023-09-16_final
2023-09-16 11:33:31	ga_ls8c_ard_3-2-1_112077_2023-09-16_final
2023-09-16 11:33:55	ga_ls8c_ard_3-2-1_112078_2023-09-16_final
2023-09-18 11:22:46	ga_ls8c_ard_3-2-1_110081_2023-09-18_final
2023-09-18 11:23:10	ga_ls8c_ard_3-2-1_110082_2023-09-18_final
2023-09-18 11:23:34	ga_ls8c_ard_3-2-1_110083_2023-09-18_final
2023-09-18 11:23:58	ga_ls8c_ard_3-2-1_110084_2023-09-18_final
2023-09-18 11:24:22	ga_ls8c_ard_3-2-1_110085_2023-09-18_final
2023-09-23 11:37:43	ga_ls8c_ard_3-2-1_113072_2023-09-23_final
2023-09-23 11:38:07	ga_ls8c_ard_3-2-1_113073_2023-09-23_final
2023-10-02 11:31:36	ga_ls8c_ard_3-2-1_112072_2023-10-02_final
2023-10-02 11:31:59	ga_ls8c_ard_3-2-1_112073_2023-10-02_final
2023-10-02 11:32:23	ga_ls8c_ard_3-2-1_112074_2023-10-02_final
2023-10-02 11:32:47	ga_ls8c_ard_3-2-1_112075_2023-10-02_final
2023-10-02 11:33:11	ga_ls8c_ard_3-2-1_112076_2023-10-02_final
2023-10-02 11:33:35	ga_ls8c_ard_3-2-1_112077_2023-10-02_final
2023-10-02 11:33:59	ga_ls8c_ard_3-2-1_112078_2023-10-02_final
2023-10-04 11:22:49	ga_ls8c_ard_3-2-1_110081_2023-10-04_final
2023-10-04 11:23:13	ga_ls8c_ard_3-2-1_110082_2023-10-04_final
2023-10-04 11:23:37	ga_ls8c_ard_3-2-1_110083_2023-10-04_final
2023-10-04 11:24:01	ga_ls8c_ard_3-2-1_110084_2023-10-04_final
2023-10-04 11:24:25	ga_ls8c_ard_3-2-1_110085_2023-10-04_final
2023-10-09 11:37:48	ga_ls8c_ard_3-2-1_113072_2023-10-09_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