Search ga_ls8c_ard_3 across March 2021

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
2021-03-01 09:10:06	ga_ls8c_ard_3-2-0_089074_2021-02-28_final
2021-03-01 09:10:30	ga_ls8c_ard_3-2-0_089075_2021-02-28_final
2021-03-01 09:10:54	ga_ls8c_ard_3-2-0_089076_2021-02-28_final
2021-03-01 09:11:18	ga_ls8c_ard_3-2-0_089077_2021-02-28_final
2021-03-01 09:11:42	ga_ls8c_ard_3-2-0_089078_2021-02-28_final
2021-03-01 09:12:06	ga_ls8c_ard_3-2-0_089079_2021-02-28_final
2021-03-01 09:12:30	ga_ls8c_ard_3-2-0_089080_2021-02-28_final
2021-03-01 09:12:54	ga_ls8c_ard_3-2-0_089081_2021-02-28_final
2021-03-01 09:13:18	ga_ls8c_ard_3-2-0_089082_2021-02-28_final
2021-03-01 09:13:42	ga_ls8c_ard_3-2-0_089083_2021-02-28_final
2021-03-01 09:14:06	ga_ls8c_ard_3-2-0_089084_2021-02-28_final
2021-03-01 09:14:30	ga_ls8c_ard_3-2-0_089085_2021-02-28_final
2021-03-01 09:14:54	ga_ls8c_ard_3-2-0_089086_2021-02-28_final
2021-03-01 09:15:18	ga_ls8c_ard_3-2-0_089087_2021-02-28_final
2021-03-01 09:15:42	ga_ls8c_ard_3-2-0_089088_2021-02-28_final
2021-03-01 09:16:06	ga_ls8c_ard_3-2-0_089089_2021-02-28_final
2021-03-01 09:16:30	ga_ls8c_ard_3-2-0_089090_2021-02-28_final
2021-03-01 10:46:12	ga_ls8c_ard_3-2-0_105067_2021-03-01_final
2021-03-01 10:46:36	ga_ls8c_ard_3-2-0_105068_2021-03-01_final
2021-03-01 10:47:00	ga_ls8c_ard_3-2-0_105069_2021-03-01_final
2021-03-01 10:47:24	ga_ls8c_ard_3-2-0_105070_2021-03-01_final
2021-03-01 10:47:48	ga_ls8c_ard_3-2-0_105071_2021-03-01_final
2021-03-01 10:48:11	ga_ls8c_ard_3-2-0_105072_2021-03-01_final
2021-03-01 10:48:35	ga_ls8c_ard_3-2-0_105073_2021-03-01_final
2021-03-01 10:48:59	ga_ls8c_ard_3-2-0_105074_2021-03-01_final
2021-03-01 10:49:23	ga_ls8c_ard_3-2-0_105075_2021-03-01_final
2021-03-01 10:49:47	ga_ls8c_ard_3-2-0_105076_2021-03-01_final
2021-03-01 10:50:11	ga_ls8c_ard_3-2-0_105077_2021-03-01_final
2021-03-01 10:50:35	ga_ls8c_ard_3-2-0_105078_2021-03-01_final
2021-03-01 10:50:59	ga_ls8c_ard_3-2-0_105079_2021-03-01_final
2021-03-02 09:50:34	ga_ls8c_ard_3-2-0_096067_2021-03-02_final
2021-03-02 09:50:58	ga_ls8c_ard_3-2-0_096068_2021-03-02_final
2021-03-02 09:51:22	ga_ls8c_ard_3-2-0_096069_2021-03-02_final
2021-03-02 09:51:46	ga_ls8c_ard_3-2-0_096070_2021-03-02_final
2021-03-02 09:52:34	ga_ls8c_ard_3-2-0_096072_2021-03-02_final
2021-03-02 09:52:58	ga_ls8c_ard_3-2-0_096073_2021-03-02_final
2021-03-02 09:53:22	ga_ls8c_ard_3-2-0_096074_2021-03-02_final
2021-03-02 09:53:45	ga_ls8c_ard_3-2-0_096075_2021-03-02_final
2021-03-02 09:54:33	ga_ls8c_ard_3-2-0_096077_2021-03-02_final
2021-03-02 09:54:57	ga_ls8c_ard_3-2-0_096078_2021-03-02_final
2021-03-02 09:55:21	ga_ls8c_ard_3-2-0_096079_2021-03-02_final
2021-03-02 09:55:45	ga_ls8c_ard_3-2-0_096080_2021-03-02_final
2021-03-02 11:29:27	ga_ls8c_ard_3-2-0_112067_2021-03-02_final
2021-03-02 11:29:51	ga_ls8c_ard_3-2-0_112068_2021-03-02_final
2021-03-02 11:30:15	ga_ls8c_ard_3-2-0_112069_2021-03-02_final
2021-03-03 10:33:49	ga_ls8c_ard_3-2-0_103067_2021-03-03_final
2021-03-03 10:34:13	ga_ls8c_ard_3-2-0_103068_2021-03-03_final
2021-03-03 10:34:37	ga_ls8c_ard_3-2-0_103069_2021-03-03_final
2021-03-03 10:35:01	ga_ls8c_ard_3-2-0_103070_2021-03-03_final
2021-03-03 10:35:25	ga_ls8c_ard_3-2-0_103071_2021-03-03_final
2021-03-03 10:35:49	ga_ls8c_ard_3-2-0_103072_2021-03-03_final
2021-03-03 10:36:13	ga_ls8c_ard_3-2-0_103073_2021-03-03_final
2021-03-03 10:36:37	ga_ls8c_ard_3-2-0_103074_2021-03-03_final
2021-03-03 10:37:01	ga_ls8c_ard_3-2-0_103075_2021-03-03_final
2021-03-03 10:37:25	ga_ls8c_ard_3-2-0_103076_2021-03-03_final
2021-03-03 10:37:49	ga_ls8c_ard_3-2-0_103077_2021-03-03_final
2021-03-03 10:38:12	ga_ls8c_ard_3-2-0_103078_2021-03-03_final
2021-03-03 10:38:36	ga_ls8c_ard_3-2-0_103079_2021-03-03_final
2021-03-03 10:39:00	ga_ls8c_ard_3-2-0_103080_2021-03-03_final
2021-03-03 10:39:24	ga_ls8c_ard_3-2-0_103081_2021-03-03_final
2021-03-03 10:39:48	ga_ls8c_ard_3-2-0_103082_2021-03-03_final
2021-03-03 10:40:12	ga_ls8c_ard_3-2-0_103083_2021-03-03_final
2021-03-03 14:03:34	ga_ls8c_ard_3-2-1_135097_2021-03-03_final
2021-03-04 09:38:11	ga_ls8c_ard_3-2-0_094067_2021-03-04_final
2021-03-04 09:39:47	ga_ls8c_ard_3-2-0_094071_2021-03-04_final
2021-03-04 09:40:11	ga_ls8c_ard_3-2-0_094072_2021-03-04_final
2021-03-04 09:40:35	ga_ls8c_ard_3-2-0_094073_2021-03-04_final
2021-03-04 09:40:59	ga_ls8c_ard_3-2-0_094074_2021-03-04_final
2021-03-04 09:41:23	ga_ls8c_ard_3-2-0_094075_2021-03-04_final
2021-03-04 09:41:47	ga_ls8c_ard_3-2-0_094076_2021-03-04_final
2021-03-04 09:42:11	ga_ls8c_ard_3-2-0_094077_2021-03-04_final
2021-03-04 09:42:35	ga_ls8c_ard_3-2-0_094078_2021-03-04_final
2021-03-04 09:42:59	ga_ls8c_ard_3-2-0_094079_2021-03-04_final
2021-03-04 09:43:23	ga_ls8c_ard_3-2-0_094080_2021-03-04_final
2021-03-04 09:43:46	ga_ls8c_ard_3-2-0_094081_2021-03-04_final
2021-03-04 09:44:10	ga_ls8c_ard_3-2-0_094082_2021-03-04_final
2021-03-04 09:44:34	ga_ls8c_ard_3-2-0_094083_2021-03-04_final
2021-03-04 09:44:58	ga_ls8c_ard_3-2-0_094084_2021-03-04_final
2021-03-04 09:45:22	ga_ls8c_ard_3-2-0_094085_2021-03-04_final
2021-03-04 09:45:46	ga_ls8c_ard_3-2-0_094086_2021-03-04_final
2021-03-04 09:46:10	ga_ls8c_ard_3-2-0_094087_2021-03-04_final
2021-03-04 09:46:34	ga_ls8c_ard_3-2-0_094088_2021-03-04_final
2021-03-04 11:17:04	ga_ls8c_ard_3-2-0_110067_2021-03-04_final
2021-03-04 11:17:28	ga_ls8c_ard_3-2-0_110068_2021-03-04_final
2021-03-04 11:17:52	ga_ls8c_ard_3-2-0_110069_2021-03-04_final
2021-03-04 11:18:16	ga_ls8c_ard_3-2-0_110070_2021-03-04_final
2021-03-04 11:18:40	ga_ls8c_ard_3-2-0_110071_2021-03-04_final
2021-03-04 11:19:04	ga_ls8c_ard_3-2-0_110072_2021-03-04_final
2021-03-04 11:19:28	ga_ls8c_ard_3-2-0_110073_2021-03-04_final
2021-03-04 11:19:52	ga_ls8c_ard_3-2-0_110074_2021-03-04_final
2021-03-04 11:20:16	ga_ls8c_ard_3-2-0_110075_2021-03-04_final
2021-03-04 11:20:40	ga_ls8c_ard_3-2-0_110076_2021-03-04_final
2021-03-04 11:21:04	ga_ls8c_ard_3-2-0_110077_2021-03-04_final
2021-03-04 11:21:28	ga_ls8c_ard_3-2-0_110078_2021-03-04_final
2021-03-04 11:21:52	ga_ls8c_ard_3-2-0_110079_2021-03-04_final
2021-03-04 11:22:16	ga_ls8c_ard_3-2-0_110080_2021-03-04_final
2021-03-04 11:22:39	ga_ls8c_ard_3-2-0_110081_2021-03-04_final
2021-03-04 11:23:03	ga_ls8c_ard_3-2-0_110082_2021-03-04_final
2021-03-04 11:23:27	ga_ls8c_ard_3-2-0_110083_2021-03-04_final
2021-03-04 11:23:51	ga_ls8c_ard_3-2-0_110084_2021-03-04_final

Return to ga_ls8c_ard_3 across March 2021 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

2021

March

All days