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
2013-04-13 11:34:04	ga_ls8c_ard_3-0-0_112074_2013-04-13_final
2013-04-13 11:34:28	ga_ls8c_ard_3-0-0_112075_2013-04-13_final
2013-04-13 11:34:52	ga_ls8c_ard_3-0-0_112076_2013-04-13_final
2013-04-13 11:35:16	ga_ls8c_ard_3-0-0_112077_2013-04-13_final
2013-04-13 11:35:40	ga_ls8c_ard_3-0-0_112078_2013-04-13_final
2013-04-15 11:24:31	ga_ls8c_ard_3-0-0_110081_2013-04-15_final
2013-04-15 11:24:55	ga_ls8c_ard_3-0-0_110082_2013-04-15_final
2013-04-15 11:25:19	ga_ls8c_ard_3-0-0_110083_2013-04-15_final
2013-04-15 11:25:43	ga_ls8c_ard_3-0-0_110084_2013-04-15_final
2013-05-24 11:29:20	ga_ls8c_ard_3-0-0_111077_2013-05-24_final
2013-05-24 11:29:44	ga_ls8c_ard_3-0-0_111078_2013-05-24_final
2013-05-24 11:30:07	ga_ls8c_ard_3-0-0_111079_2013-05-24_final
2013-05-24 11:30:31	ga_ls8c_ard_3-0-0_111080_2013-05-24_final
2013-05-24 11:30:55	ga_ls8c_ard_3-0-0_111081_2013-05-24_final
2013-08-10 11:37:40	ga_ls8c_ard_3-0-0_113067_2013-08-10_final
2013-08-10 11:39:40	ga_ls8c_ard_3-0-0_113072_2013-08-10_final
2013-08-10 11:40:03	ga_ls8c_ard_3-0-0_113073_2013-08-10_final
2013-08-12 11:29:17	ga_ls8c_ard_3-0-0_111077_2013-08-12_final
2013-08-12 11:29:41	ga_ls8c_ard_3-0-0_111078_2013-08-12_final
2013-08-12 11:30:05	ga_ls8c_ard_3-0-0_111079_2013-08-12_final
2013-08-12 11:30:29	ga_ls8c_ard_3-0-0_111080_2013-08-12_final
2013-08-12 11:30:53	ga_ls8c_ard_3-0-0_111081_2013-08-12_final
2013-08-12 11:31:17	ga_ls8c_ard_3-0-0_111082_2013-08-12_final
2018-10-27 11:35:33	ga_ls8c_ard_3-0-0_113067_2018-10-27_final
2018-10-27 11:37:33	ga_ls8c_ard_3-0-0_113072_2018-10-27_final
2018-10-27 11:37:57	ga_ls8c_ard_3-1-0_113073_2018-10-27_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
2019-07-17 11:41:47	ga_ls8c_ard_3-1-0_114067_2019-07-17_final
2019-10-21 11:42:14	ga_ls8c_ard_3-1-0_114067_2019-10-21_final
2019-11-01 11:27:40	ga_ls8c_ard_3-1-0_111077_2019-11-01_final
2019-11-01 11:28:04	ga_ls8c_ard_3-1-0_111078_2019-11-01_final
2019-11-01 11:28:28	ga_ls8c_ard_3-1-0_111079_2019-11-01_final
2019-11-01 11:28:52	ga_ls8c_ard_3-1-0_111080_2019-11-01_final
2019-11-01 11:29:16	ga_ls8c_ard_3-1-0_111081_2019-11-01_final
2019-11-01 11:29:40	ga_ls8c_ard_3-1-0_111082_2019-11-01_final
2019-11-06 11:42:13	ga_ls8c_ard_3-1-0_114067_2019-11-06_final
2019-11-08 11:31:50	ga_ls8c_ard_3-1-0_112072_2019-11-08_final
2019-11-08 11:32:14	ga_ls8c_ard_3-1-0_112073_2019-11-08_final
2019-11-08 11:32:38	ga_ls8c_ard_3-1-0_112074_2019-11-08_final
2019-11-08 11:33:02	ga_ls8c_ard_3-1-0_112075_2019-11-08_final
2019-11-08 11:33:26	ga_ls8c_ard_3-1-0_112076_2019-11-08_final
2019-11-08 11:33:50	ga_ls8c_ard_3-1-0_112077_2019-11-08_final
2019-11-08 11:34:14	ga_ls8c_ard_3-1-0_112078_2019-11-08_final
2019-11-10 11:23:04	ga_ls8c_ard_3-1-0_110081_2019-11-10_final
2019-11-10 11:23:28	ga_ls8c_ard_3-1-0_110082_2019-11-10_final
2019-11-10 11:23:52	ga_ls8c_ard_3-1-0_110083_2019-11-10_final
2019-11-10 11:24:16	ga_ls8c_ard_3-1-0_110084_2019-11-10_final
2019-11-10 11:24:40	ga_ls8c_ard_3-1-0_110085_2019-11-10_final
2019-11-17 11:27:37	ga_ls8c_ard_3-1-0_111077_2019-11-17_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
2019-12-01 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
2019-12-08 11:42:09	ga_ls8c_ard_3-1-0_114067_2019-12-08_final
2019-12-24 11:42:06	ga_ls8c_ard_3-1-0_114067_2019-12-24_final
2019-12-26 11:31:43	ga_ls8c_ard_3-1-0_112072_2019-12-26_final
2019-12-26 11:32:07	ga_ls8c_ard_3-1-0_112073_2019-12-26_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
2019-12-28 11:22:56	ga_ls8c_ard_3-1-0_110081_2019-12-28_final
2019-12-28 11:23:20	ga_ls8c_ard_3-1-0_110082_2019-12-28_final
2019-12-28 11:23:44	ga_ls8c_ard_3-1-0_110083_2019-12-28_final
2019-12-28 11:24:08	ga_ls8c_ard_3-1-0_110084_2019-12-28_final
2019-12-28 11:24:32	ga_ls8c_ard_3-1-0_110085_2019-12-28_final
2020-01-06 11:18:19	ga_ls8c_ard_3-1-0_109085_2020-01-06_final
2020-01-09 11:42:02	ga_ls8c_ard_3-1-0_114067_2020-01-09_final
2020-01-25 11:41:58	ga_ls8c_ard_3-1-0_114067_2020-01-25_final
2020-01-27 11:31:35	ga_ls8c_ard_3-1-0_112072_2020-01-27_final
2020-01-27 11:31:59	ga_ls8c_ard_3-1-0_112073_2020-01-27_final
2020-01-27 11:32:23	ga_ls8c_ard_3-1-0_112074_2020-01-27_final
2020-01-27 11:32:47	ga_ls8c_ard_3-1-0_112075_2020-01-27_final
2020-01-27 11:33:11	ga_ls8c_ard_3-1-0_112076_2020-01-27_final
2020-01-27 11:33:35	ga_ls8c_ard_3-1-0_112077_2020-01-27_final
2020-01-27 11:33:59	ga_ls8c_ard_3-1-0_112078_2020-01-27_final
2020-02-07 11:18:10	ga_ls8c_ard_3-1-0_109085_2020-02-07_final
2020-02-21 11:27:17	ga_ls8c_ard_3-1-0_111077_2020-02-21_final
2020-02-21 11:27:41	ga_ls8c_ard_3-1-0_111078_2020-02-21_final
2020-02-21 11:28:05	ga_ls8c_ard_3-1-0_111079_2020-02-21_final
2020-02-21 11:28:29	ga_ls8c_ard_3-1-0_111080_2020-02-21_final
2020-02-21 11:28:53	ga_ls8c_ard_3-1-0_111081_2020-02-21_final
2020-02-21 11:29:17	ga_ls8c_ard_3-1-0_111082_2020-02-21_final
2020-02-23 11:18:07	ga_ls8c_ard_3-1-0_109085_2020-02-23_final
2023-02-04 11:31:51	ga_ls8c_ard_3-2-1_112072_2023-02-04_final
2023-02-04 11:32:15	ga_ls8c_ard_3-2-1_112073_2023-02-04_final
2023-02-04 11:32:39	ga_ls8c_ard_3-2-1_112074_2023-02-04_final
2023-02-04 11:33:03	ga_ls8c_ard_3-2-1_112075_2023-02-04_final
2023-02-04 11:33:27	ga_ls8c_ard_3-2-1_112076_2023-02-04_final
2023-02-04 11:33:50	ga_ls8c_ard_3-2-1_112077_2023-02-04_final
2023-02-04 11:34:14	ga_ls8c_ard_3-2-1_112078_2023-02-04_final
2023-02-20 11:31:38	ga_ls8c_ard_3-2-1_112072_2023-02-20_final
2023-02-20 11:32:02	ga_ls8c_ard_3-2-1_112073_2023-02-20_final
2023-02-27 11:37:42	ga_ls8c_ard_3-2-1_113072_2023-02-27_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