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
2015-01-04 11:35:42	ga_ls8c_ard_3-0-0_113067_2015-01-04_final
2015-01-06 11:25:44	ga_ls8c_ard_3-0-0_111073_2015-01-06_final
2015-01-06 11:26:08	ga_ls8c_ard_3-0-0_111074_2015-01-06_final
2015-01-06 11:26:32	ga_ls8c_ard_3-0-0_111075_2015-01-06_final
2015-01-06 11:26:56	ga_ls8c_ard_3-0-0_111076_2015-01-06_final
2015-01-06 11:27:20	ga_ls8c_ard_3-0-0_111077_2015-01-06_final
2015-01-06 11:27:44	ga_ls8c_ard_3-0-0_111078_2015-01-06_final
2015-01-06 11:28:08	ga_ls8c_ard_3-0-0_111079_2015-01-06_final
2015-01-22 11:25:39	ga_ls8c_ard_3-0-0_111073_2015-01-22_final
2015-01-22 11:26:03	ga_ls8c_ard_3-0-0_111074_2015-01-22_final
2015-01-22 11:26:27	ga_ls8c_ard_3-0-0_111075_2015-01-22_final
2015-01-22 11:26:51	ga_ls8c_ard_3-0-0_111076_2015-01-22_final
2015-01-22 11:27:15	ga_ls8c_ard_3-0-0_111077_2015-01-22_final
2015-01-22 11:27:38	ga_ls8c_ard_3-0-0_111078_2015-01-22_final
2015-01-22 11:28:02	ga_ls8c_ard_3-0-0_111079_2015-01-22_final
2015-02-16 11:21:18	ga_ls8c_ard_3-0-0_110078_2015-02-16_final
2015-02-16 11:21:42	ga_ls8c_ard_3-0-0_110079_2015-02-16_final
2015-02-16 11:22:06	ga_ls8c_ard_3-0-0_110080_2015-02-16_final
2015-02-16 11:22:30	ga_ls8c_ard_3-0-0_110081_2015-02-16_final
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
2015-04-26 11:34:58	ga_ls8c_ard_3-0-0_113067_2015-04-26_final
2015-04-28 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-04-28_final
2015-04-28 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-04-28_final
2015-04-28 11:25:46	ga_ls8c_ard_3-0-0_111075_2015-04-28_final
2015-04-28 11:26:10	ga_ls8c_ard_3-0-0_111076_2015-04-28_final
2015-04-28 11:26:34	ga_ls8c_ard_3-0-0_111077_2015-04-28_final
2015-04-28 11:26:58	ga_ls8c_ard_3-0-0_111078_2015-04-28_final
2015-04-28 11:27:22	ga_ls8c_ard_3-0-0_111079_2015-04-28_final
2015-05-23 11:20:33	ga_ls8c_ard_3-0-0_110078_2015-05-23_final
2015-05-23 11:20:57	ga_ls8c_ard_3-0-0_110079_2015-05-23_final
2015-05-23 11:21:21	ga_ls8c_ard_3-0-0_110080_2015-05-23_final
2015-05-23 11:21:45	ga_ls8c_ard_3-0-0_110081_2015-05-23_final
2015-05-23 11:22:09	ga_ls8c_ard_3-0-0_110082_2015-05-23_final
2015-05-23 11:22:33	ga_ls8c_ard_3-0-0_110083_2015-05-23_final
2015-05-25 11:11:00	ga_ls8c_ard_3-0-0_108085_2015-05-25_final
2015-06-08 11:20:43	ga_ls8c_ard_3-0-0_110078_2015-06-08_final
2015-06-08 11:21:07	ga_ls8c_ard_3-0-0_110079_2015-06-08_final
2015-06-08 11:21:31	ga_ls8c_ard_3-0-0_110080_2015-06-08_final
2015-06-08 11:21:55	ga_ls8c_ard_3-0-0_110081_2015-06-08_final
2015-06-08 11:22:19	ga_ls8c_ard_3-0-0_110082_2015-06-08_final
2015-06-08 11:22:43	ga_ls8c_ard_3-0-0_110083_2015-06-08_final
2015-06-10 11:11:10	ga_ls8c_ard_3-0-0_108085_2015-06-10_final
2015-06-13 11:34:55	ga_ls8c_ard_3-0-0_113067_2015-06-13_final
2015-06-15 11:24:58	ga_ls8c_ard_3-0-0_111073_2015-06-15_final
2015-06-15 11:25:22	ga_ls8c_ard_3-0-0_111074_2015-06-15_final
2015-06-15 11:25:46	ga_ls8c_ard_3-0-0_111075_2015-06-15_final
2015-06-15 11:26:10	ga_ls8c_ard_3-0-0_111076_2015-06-15_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
2018-06-14 11:29:09	ga_ls8c_ard_3-0-0_112069_2018-06-14_final
2018-06-14 11:29:33	ga_ls8c_ard_3-0-0_112070_2018-06-14_final
2018-06-14 11:29:57	ga_ls8c_ard_3-0-0_112071_2018-06-14_final
2018-06-14 11:30:21	ga_ls8c_ard_3-0-0_112072_2018-06-14_final
2018-06-14 11:30:45	ga_ls8c_ard_3-0-0_112073_2018-06-14_final
2018-06-14 11:31:09	ga_ls8c_ard_3-0-0_112074_2018-06-14_final
2018-06-30 11:29:19	ga_ls8c_ard_3-0-0_112069_2018-06-30_final
2018-06-30 11:29:43	ga_ls8c_ard_3-0-0_112070_2018-06-30_final
2018-06-30 11:30:07	ga_ls8c_ard_3-0-0_112071_2018-06-30_final
2018-06-30 11:30:31	ga_ls8c_ard_3-0-0_112072_2018-06-30_final
2018-06-30 11:30:55	ga_ls8c_ard_3-0-0_112073_2018-06-30_final
2018-06-30 11:31:19	ga_ls8c_ard_3-0-0_112074_2018-06-30_final
2018-07-23 11:34:52	ga_ls8c_ard_3-0-0_113067_2018-07-23_final
2018-07-25 11:24:55	ga_ls8c_ard_3-0-0_111073_2018-07-25_final
2018-07-25 11:25:19	ga_ls8c_ard_3-0-0_111074_2018-07-25_final
2018-07-25 11:25:43	ga_ls8c_ard_3-0-0_111075_2018-07-25_final
2018-07-25 11:26:07	ga_ls8c_ard_3-0-0_111076_2018-07-25_final
2018-07-25 11:26:31	ga_ls8c_ard_3-0-0_111077_2018-07-25_final
2018-07-25 11:26:55	ga_ls8c_ard_3-0-0_111078_2018-07-25_final
2018-07-25 11:27:19	ga_ls8c_ard_3-0-0_111079_2018-07-25_final
2018-08-17 11:29:43	ga_ls8c_ard_3-0-0_112069_2018-08-17_final
2018-08-17 11:30:07	ga_ls8c_ard_3-0-0_112070_2018-08-17_final
2018-08-17 11:30:31	ga_ls8c_ard_3-0-0_112071_2018-08-17_final
2018-08-17 11:30:55	ga_ls8c_ard_3-0-0_112072_2018-08-17_final
2018-08-17 11:31:19	ga_ls8c_ard_3-0-0_112073_2018-08-17_final
2018-08-17 11:31:43	ga_ls8c_ard_3-0-0_112074_2018-08-17_final
2018-09-06 11:11:31	ga_ls8c_ard_3-0-0_108085_2018-09-06_final
2018-09-09 11:35:15	ga_ls8c_ard_3-0-0_113067_2018-09-09_final
2018-09-11 11:25:17	ga_ls8c_ard_3-0-0_111073_2018-09-11_final
2018-09-11 11:25:41	ga_ls8c_ard_3-0-0_111074_2018-09-11_final
2018-09-11 11:26:05	ga_ls8c_ard_3-0-0_111075_2018-09-11_final
2018-09-11 11:26:29	ga_ls8c_ard_3-0-0_111076_2018-09-11_final
2018-09-11 11:26:53	ga_ls8c_ard_3-0-0_111077_2018-09-11_final
2018-09-11 11:27:17	ga_ls8c_ard_3-0-0_111078_2018-09-11_final
2018-09-11 11:27:41	ga_ls8c_ard_3-0-0_111079_2018-09-11_final
2018-09-25 11:35:20	ga_ls8c_ard_3-0-0_113067_2018-09-25_final
2018-12-09 11:21:23	ga_ls8c_ard_3-0-0_110078_2018-12-09_final
2018-12-09 11:21:47	ga_ls8c_ard_3-0-0_110079_2018-12-09_final
2018-12-09 11:22:11	ga_ls8c_ard_3-0-0_110080_2018-12-09_final
2018-12-09 11:22:35	ga_ls8c_ard_3-0-0_110081_2018-12-09_final
2018-12-09 11:22:59	ga_ls8c_ard_3-0-0_110082_2018-12-09_final
2018-12-11 11:11:49	ga_ls8c_ard_3-0-0_108085_2018-12-11_final
2018-12-30 11:35:32	ga_ls8c_ard_3-0-0_113067_2018-12-30_final
2019-01-01 11:25:34	ga_ls8c_ard_3-0-0_111073_2019-01-01_final
2019-01-01 11:25:57	ga_ls8c_ard_3-0-0_111074_2019-01-01_final
2019-01-01 11:26:21	ga_ls8c_ard_3-0-0_111075_2019-01-01_final
2019-01-01 11:26:45	ga_ls8c_ard_3-0-0_111076_2019-01-01_final
2019-01-01 11:27:09	ga_ls8c_ard_3-0-0_111077_2019-01-01_final
2019-01-01 11:27:33	ga_ls8c_ard_3-0-0_111078_2019-01-01_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