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
2014-08-01 11:16:53	ga_ls8c_ard_3-0-0_109082_2014-08-01_final
2014-08-01 11:17:17	ga_ls8c_ard_3-0-0_109083_2014-08-01_final
2014-08-01 11:17:41	ga_ls8c_ard_3-0-0_109084_2014-08-01_final
2014-08-17 11:16:59	ga_ls8c_ard_3-0-0_109082_2014-08-17_final
2014-08-17 11:17:23	ga_ls8c_ard_3-0-0_109083_2014-08-17_final
2014-08-17 11:17:47	ga_ls8c_ard_3-0-0_109084_2014-08-17_final
2014-09-02 11:17:01	ga_ls8c_ard_3-0-0_109082_2014-09-02_final
2014-09-02 11:17:25	ga_ls8c_ard_3-0-0_109083_2014-09-02_final
2014-09-02 11:17:49	ga_ls8c_ard_3-0-0_109084_2014-09-02_final
2014-12-23 11:17:02	ga_ls8c_ard_3-0-0_109082_2014-12-23_final
2014-12-23 11:17:26	ga_ls8c_ard_3-0-0_109083_2014-12-23_final
2014-12-23 11:17:50	ga_ls8c_ard_3-0-0_109084_2014-12-23_final
2021-04-12 11:25:24	ga_ls8c_ard_3-2-0_111073_2021-04-12_final
2021-04-12 11:25:48	ga_ls8c_ard_3-2-0_111074_2021-04-12_final
2021-04-12 11:26:12	ga_ls8c_ard_3-2-0_111075_2021-04-12_final
2021-04-12 11:26:36	ga_ls8c_ard_3-2-0_111076_2021-04-12_final
2021-04-12 11:27:00	ga_ls8c_ard_3-2-0_111077_2021-04-12_final
2021-04-12 11:27:24	ga_ls8c_ard_3-2-0_111078_2021-04-12_final
2021-04-12 11:27:48	ga_ls8c_ard_3-2-0_111079_2021-04-12_final
2021-04-14 11:16:37	ga_ls8c_ard_3-2-0_109082_2021-04-14_final
2021-04-14 11:17:01	ga_ls8c_ard_3-2-0_109083_2021-04-14_final
2021-04-14 11:17:25	ga_ls8c_ard_3-2-0_109084_2021-04-14_final
2021-04-14 11:17:49	ga_ls8c_ard_3-2-0_109085_2021-04-14_final
2021-04-19 11:29:56	ga_ls8c_ard_3-2-0_112069_2021-04-19_final
2021-04-19 11:30:20	ga_ls8c_ard_3-2-0_112070_2021-04-19_final
2021-04-19 11:30:44	ga_ls8c_ard_3-2-0_112071_2021-04-19_final
2021-04-19 11:31:08	ga_ls8c_ard_3-2-0_112072_2021-04-19_final
2021-04-19 11:31:32	ga_ls8c_ard_3-2-0_112073_2021-04-19_final
2021-04-19 11:31:55	ga_ls8c_ard_3-2-0_112074_2021-04-19_final
2021-04-21 11:21:09	ga_ls8c_ard_3-2-0_110078_2021-04-21_final
2021-04-21 11:21:33	ga_ls8c_ard_3-2-0_110079_2021-04-21_final
2021-04-21 11:21:56	ga_ls8c_ard_3-2-0_110080_2021-04-21_final
2021-04-21 11:22:20	ga_ls8c_ard_3-2-0_110081_2021-04-21_final
2021-04-21 11:22:44	ga_ls8c_ard_3-2-0_110082_2021-04-21_final
2021-04-21 11:23:08	ga_ls8c_ard_3-2-0_110083_2021-04-21_final
2021-04-26 11:35:15	ga_ls8c_ard_3-2-0_113067_2021-04-26_final
2021-08-25 11:30:28	ga_ls8c_ard_3-2-0_112069_2021-08-25_final
2021-08-25 11:30:52	ga_ls8c_ard_3-2-0_112070_2021-08-25_final
2021-08-25 11:31:15	ga_ls8c_ard_3-2-0_112071_2021-08-25_final
2021-08-25 11:31:39	ga_ls8c_ard_3-2-0_112072_2021-08-25_final
2021-08-25 11:32:03	ga_ls8c_ard_3-2-0_112073_2021-08-25_final
2021-08-25 11:32:27	ga_ls8c_ard_3-2-0_112074_2021-08-25_final
2021-08-27 11:22:06	ga_ls8c_ard_3-2-0_110079_2021-08-27_final
2021-08-27 11:22:30	ga_ls8c_ard_3-2-0_110080_2021-08-27_final
2021-08-27 11:22:54	ga_ls8c_ard_3-2-0_110081_2021-08-27_final
2021-08-27 11:23:18	ga_ls8c_ard_3-2-0_110082_2021-08-27_final
2021-09-01 11:35:53	ga_ls8c_ard_3-2-0_113067_2021-09-01_final
2021-09-03 11:25:55	ga_ls8c_ard_3-2-0_111073_2021-09-03_final
2021-09-03 11:26:19	ga_ls8c_ard_3-2-0_111074_2021-09-03_final
2021-09-03 11:26:43	ga_ls8c_ard_3-2-0_111075_2021-09-03_final
2021-09-03 11:27:07	ga_ls8c_ard_3-2-0_111076_2021-09-03_final
2021-09-03 11:27:31	ga_ls8c_ard_3-2-0_111077_2021-09-03_final
2021-09-03 11:27:55	ga_ls8c_ard_3-2-0_111078_2021-09-03_final
2021-09-03 11:28:19	ga_ls8c_ard_3-2-0_111079_2021-09-03_final
2021-09-05 11:17:10	ga_ls8c_ard_3-2-0_109082_2021-09-05_final
2021-09-05 11:17:34	ga_ls8c_ard_3-2-0_109083_2021-09-05_final
2021-09-05 11:17:58	ga_ls8c_ard_3-2-0_109084_2021-09-05_final
2021-09-05 11:18:22	ga_ls8c_ard_3-2-0_109085_2021-09-05_final
2021-09-12 11:21:47	ga_ls8c_ard_3-2-0_110078_2021-09-12_final
2021-09-12 11:22:11	ga_ls8c_ard_3-2-0_110079_2021-09-12_final
2021-09-12 11:22:34	ga_ls8c_ard_3-2-0_110080_2021-09-12_final
2021-09-12 11:22:58	ga_ls8c_ard_3-2-0_110081_2021-09-12_final
2021-09-12 11:23:22	ga_ls8c_ard_3-2-0_110082_2021-09-12_final
2021-09-12 11:23:46	ga_ls8c_ard_3-2-0_110083_2021-09-12_final
2021-10-03 11:36:01	ga_ls8c_ard_3-2-0_113067_2021-10-03_final
2021-10-05 11:26:04	ga_ls8c_ard_3-2-0_111073_2021-10-05_final
2021-10-05 11:26:28	ga_ls8c_ard_3-2-0_111074_2021-10-05_final
2021-10-05 11:26:52	ga_ls8c_ard_3-2-0_111075_2021-10-05_final
2021-10-05 11:27:16	ga_ls8c_ard_3-2-0_111076_2021-10-05_final
2021-10-05 11:27:40	ga_ls8c_ard_3-2-0_111077_2021-10-05_final
2021-10-05 11:28:04	ga_ls8c_ard_3-2-0_111078_2021-10-05_final
2021-10-05 11:28:28	ga_ls8c_ard_3-2-0_111079_2021-10-05_final
2021-10-07 11:17:19	ga_ls8c_ard_3-2-0_109082_2021-10-07_final
2021-10-07 11:17:42	ga_ls8c_ard_3-2-0_109083_2021-10-07_final
2021-10-07 11:18:06	ga_ls8c_ard_3-2-0_109084_2021-10-07_final
2021-10-07 11:18:30	ga_ls8c_ard_3-2-0_109085_2021-10-07_final
2021-10-12 11:30:41	ga_ls8c_ard_3-2-0_112069_2021-10-12_final
2021-10-12 11:31:05	ga_ls8c_ard_3-2-0_112070_2021-10-12_final
2021-10-12 11:31:29	ga_ls8c_ard_3-2-0_112071_2021-10-12_final
2021-10-12 11:31:53	ga_ls8c_ard_3-2-0_112072_2021-10-12_final
2021-10-12 11:32:17	ga_ls8c_ard_3-2-0_112073_2021-10-12_final
2021-10-12 11:32:41	ga_ls8c_ard_3-2-0_112074_2021-10-12_final
2021-10-14 11:21:55	ga_ls8c_ard_3-2-0_110078_2021-10-14_final
2021-10-14 11:22:19	ga_ls8c_ard_3-2-0_110079_2021-10-14_final
2021-10-14 11:22:43	ga_ls8c_ard_3-2-0_110080_2021-10-14_final
2021-10-14 11:23:07	ga_ls8c_ard_3-2-0_110081_2021-10-14_final
2021-10-14 11:23:31	ga_ls8c_ard_3-2-0_110082_2021-10-14_final
2021-10-14 11:23:55	ga_ls8c_ard_3-2-0_110083_2021-10-14_final
2022-09-06 11:26:15	ga_ls8c_ard_3-2-1_111073_2022-09-06_final
2022-09-06 11:26:39	ga_ls8c_ard_3-2-1_111074_2022-09-06_final
2022-09-06 11:27:03	ga_ls8c_ard_3-2-1_111075_2022-09-06_final
2022-09-06 11:27:27	ga_ls8c_ard_3-2-1_111076_2022-09-06_final
2022-09-06 11:27:51	ga_ls8c_ard_3-2-1_111077_2022-09-06_final
2022-09-06 11:28:14	ga_ls8c_ard_3-2-1_111078_2022-09-06_final
2022-09-06 11:28:38	ga_ls8c_ard_3-2-1_111079_2022-09-06_final
2022-09-08 11:17:30	ga_ls8c_ard_3-2-1_109082_2022-09-08_final
2022-09-08 11:17:54	ga_ls8c_ard_3-2-1_109083_2022-09-08_final
2022-09-08 11:18:18	ga_ls8c_ard_3-2-1_109084_2022-09-08_final
2022-10-15 11:31:59	ga_ls8c_ard_3-2-1_112072_2022-10-15_final
2022-10-15 11:32:23	ga_ls8c_ard_3-2-1_112073_2022-10-15_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