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
2013-08-03 11:31:29	ga_ls8c_ard_3-0-0_112067_2013-08-03_final
2013-08-03 11:33:52	ga_ls8c_ard_3-0-0_112073_2013-08-03_final
2013-08-19 11:32:18	ga_ls8c_ard_3-0-0_112069_2013-08-19_final
2013-08-19 11:32:42	ga_ls8c_ard_3-0-0_112070_2013-08-19_final
2013-08-19 11:33:53	ga_ls8c_ard_3-0-0_112073_2013-08-19_final
2013-11-14 11:37:22	ga_ls8c_ard_3-0-0_113067_2013-11-14_final
2014-01-10 11:30:44	ga_ls8c_ard_3-0-0_112067_2014-01-10_final
2014-01-10 11:32:44	ga_ls8c_ard_3-0-0_112072_2014-01-10_final
2014-01-10 11:33:08	ga_ls8c_ard_3-0-0_112073_2014-01-10_final
2014-01-12 11:21:55	ga_ls8c_ard_3-0-0_110076_2014-01-12_final
2014-01-12 11:22:19	ga_ls8c_ard_3-0-0_110077_2014-01-12_final
2014-01-12 11:22:43	ga_ls8c_ard_3-0-0_110078_2014-01-12_final
2014-01-12 11:23:07	ga_ls8c_ard_3-0-0_110079_2014-01-12_final
2014-01-12 11:23:31	ga_ls8c_ard_3-0-0_110080_2014-01-12_final
2014-01-12 11:23:55	ga_ls8c_ard_3-0-0_110081_2014-01-12_final
2014-01-12 11:24:19	ga_ls8c_ard_3-0-0_110082_2014-01-12_final
2014-01-14 11:12:43	ga_ls8c_ard_3-0-0_108084_2014-01-14_final
2014-03-22 11:36:03	ga_ls8c_ard_3-0-0_113067_2014-03-22_final
2014-03-24 11:25:38	ga_ls8c_ard_3-0-0_111072_2014-03-24_final
2014-03-24 11:26:02	ga_ls8c_ard_3-0-0_111073_2014-03-24_final
2014-03-24 11:26:26	ga_ls8c_ard_3-0-0_111074_2014-03-24_final
2014-03-24 11:26:50	ga_ls8c_ard_3-0-0_111075_2014-03-24_final
2014-03-24 11:27:14	ga_ls8c_ard_3-0-0_111076_2014-03-24_final
2014-03-24 11:27:37	ga_ls8c_ard_3-0-0_111077_2014-03-24_final
2014-03-26 11:16:48	ga_ls8c_ard_3-0-0_109081_2014-03-26_final
2014-03-26 11:17:12	ga_ls8c_ard_3-0-0_109082_2014-03-26_final
2014-03-26 11:17:36	ga_ls8c_ard_3-0-0_109083_2014-03-26_final
2014-03-26 11:18:00	ga_ls8c_ard_3-0-0_109084_2014-03-26_final
2017-05-12 11:20:06	ga_ls8c_ard_3-0-0_110076_2017-05-12_final
2017-05-12 11:20:30	ga_ls8c_ard_3-0-0_110077_2017-05-12_final
2017-05-12 11:20:54	ga_ls8c_ard_3-0-0_110078_2017-05-12_final
2017-05-12 11:21:18	ga_ls8c_ard_3-0-0_110079_2017-05-12_final
2017-05-12 11:21:42	ga_ls8c_ard_3-0-0_110080_2017-05-12_final
2017-05-12 11:22:05	ga_ls8c_ard_3-0-0_110081_2017-05-12_final
2017-05-12 11:22:29	ga_ls8c_ard_3-0-0_110082_2017-05-12_final
2017-05-14 11:10:57	ga_ls8c_ard_3-0-0_108084_2017-05-14_final
2017-05-14 11:11:21	ga_ls8c_ard_3-0-0_108085_2017-05-14_final
2017-06-29 11:20:28	ga_ls8c_ard_3-0-0_110076_2017-06-29_final
2017-06-29 11:20:52	ga_ls8c_ard_3-0-0_110077_2017-06-29_final
2017-06-29 11:21:16	ga_ls8c_ard_3-0-0_110078_2017-06-29_final
2017-06-29 11:21:40	ga_ls8c_ard_3-0-0_110079_2017-06-29_final
2017-06-29 11:22:04	ga_ls8c_ard_3-0-0_110080_2017-06-29_final
2017-06-29 11:22:28	ga_ls8c_ard_3-0-0_110081_2017-06-29_final
2017-06-29 11:22:52	ga_ls8c_ard_3-0-0_110082_2017-06-29_final
2017-07-01 11:11:19	ga_ls8c_ard_3-0-0_108084_2017-07-01_final
2017-07-01 11:11:43	ga_ls8c_ard_3-0-0_108085_2017-07-01_final
2021-05-07 11:20:11	ga_ls8c_ard_3-2-0_110076_2021-05-07_final
2021-05-07 11:20:35	ga_ls8c_ard_3-2-0_110077_2021-05-07_final
2021-05-07 11:20:59	ga_ls8c_ard_3-2-0_110078_2021-05-07_final
2021-05-07 11:21:23	ga_ls8c_ard_3-2-0_110079_2021-05-07_final
2021-05-07 11:21:47	ga_ls8c_ard_3-2-0_110080_2021-05-07_final
2021-05-07 11:22:11	ga_ls8c_ard_3-2-0_110081_2021-05-07_final
2021-05-07 11:22:35	ga_ls8c_ard_3-2-0_110082_2021-05-07_final
2021-05-09 11:11:03	ga_ls8c_ard_3-2-0_108084_2021-05-09_final
2021-05-09 11:11:27	ga_ls8c_ard_3-2-0_108085_2021-05-09_final
2021-05-14 11:26:03	ga_ls8c_ard_3-2-0_111075_2021-05-14_final
2021-05-16 11:16:07	ga_ls8c_ard_3-2-0_109081_2021-05-16_final
2021-05-16 11:16:31	ga_ls8c_ard_3-2-0_109082_2021-05-16_final
2021-06-06 11:29:15	ga_ls8c_ard_3-2-0_112067_2021-06-06_final
2021-06-06 11:29:39	ga_ls8c_ard_3-2-0_112068_2021-06-06_final
2021-06-06 11:30:03	ga_ls8c_ard_3-2-0_112069_2021-06-06_final
2021-06-06 11:30:27	ga_ls8c_ard_3-2-0_112070_2021-06-06_final
2021-06-06 11:30:51	ga_ls8c_ard_3-2-0_112071_2021-06-06_final
2021-06-06 11:31:15	ga_ls8c_ard_3-2-0_112072_2021-06-06_final
2021-06-06 11:31:39	ga_ls8c_ard_3-2-0_112073_2021-06-06_final
2021-06-08 11:20:30	ga_ls8c_ard_3-2-0_110076_2021-06-08_final
2021-06-08 11:20:54	ga_ls8c_ard_3-2-0_110077_2021-06-08_final
2021-06-08 11:21:18	ga_ls8c_ard_3-2-0_110078_2021-06-08_final
2021-06-08 11:21:42	ga_ls8c_ard_3-2-0_110079_2021-06-08_final
2021-06-08 11:22:06	ga_ls8c_ard_3-2-0_110080_2021-06-08_final
2021-06-08 11:22:30	ga_ls8c_ard_3-2-0_110081_2021-06-08_final
2021-06-08 11:22:53	ga_ls8c_ard_3-2-0_110082_2021-06-08_final
2021-06-10 11:11:20	ga_ls8c_ard_3-2-0_108084_2021-06-10_final
2021-06-10 11:11:44	ga_ls8c_ard_3-2-0_108085_2021-06-10_final
2021-06-13 11:35:29	ga_ls8c_ard_3-2-0_113067_2021-06-13_final
2021-06-15 11:25:07	ga_ls8c_ard_3-2-0_111072_2021-06-15_final
2021-06-15 11:25:31	ga_ls8c_ard_3-2-0_111073_2021-06-15_final
2021-06-15 11:25:55	ga_ls8c_ard_3-2-0_111074_2021-06-15_final
2021-06-15 11:26:19	ga_ls8c_ard_3-2-0_111075_2021-06-15_final
2021-06-15 11:26:43	ga_ls8c_ard_3-2-0_111076_2021-06-15_final
2021-06-15 11:27:07	ga_ls8c_ard_3-2-0_111077_2021-06-15_final
2021-06-22 11:29:20	ga_ls8c_ard_3-2-0_112067_2021-06-22_final
2021-06-22 11:29:44	ga_ls8c_ard_3-2-0_112068_2021-06-22_final
2021-06-22 11:30:08	ga_ls8c_ard_3-2-0_112069_2021-06-22_final
2021-06-22 11:30:32	ga_ls8c_ard_3-2-0_112070_2021-06-22_final
2021-06-22 11:30:56	ga_ls8c_ard_3-2-0_112071_2021-06-22_final
2021-06-22 11:31:20	ga_ls8c_ard_3-2-0_112072_2021-06-22_final
2021-06-22 11:31:44	ga_ls8c_ard_3-2-0_112073_2021-06-22_final
2021-07-03 11:16:01	ga_ls8c_ard_3-2-0_109080_2021-07-03_final
2021-07-03 11:16:25	ga_ls8c_ard_3-2-0_109081_2021-07-03_final
2021-07-03 11:16:49	ga_ls8c_ard_3-2-0_109082_2021-07-03_final
2021-07-03 11:17:13	ga_ls8c_ard_3-2-0_109083_2021-07-03_final
2021-07-03 11:17:37	ga_ls8c_ard_3-2-0_109084_2021-07-03_final
2021-07-03 11:18:01	ga_ls8c_ard_3-2-0_109085_2021-07-03_final
2021-07-08 11:29:23	ga_ls8c_ard_3-2-0_112067_2021-07-08_final
2021-07-08 11:29:47	ga_ls8c_ard_3-2-0_112068_2021-07-08_final
2021-07-08 11:30:11	ga_ls8c_ard_3-2-0_112069_2021-07-08_final
2021-07-08 11:30:35	ga_ls8c_ard_3-2-0_112070_2021-07-08_final
2021-07-08 11:30:58	ga_ls8c_ard_3-2-0_112071_2021-07-08_final
2021-07-08 11:31:22	ga_ls8c_ard_3-2-0_112072_2021-07-08_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