Search ga_ls8c_ard_3 across March 2020

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
2020-03-13 10:02:26	ga_ls8c_ard_3-2-1_098066_2020-03-13_final
2020-03-13 10:02:50	ga_ls8c_ard_3-1-0_098067_2020-03-13_final
2020-03-13 10:03:13	ga_ls8c_ard_3-1-0_098068_2020-03-13_final
2020-03-13 10:03:37	ga_ls8c_ard_3-1-0_098069_2020-03-13_final
2020-03-13 10:04:01	ga_ls8c_ard_3-1-0_098070_2020-03-13_final
2020-03-13 10:04:25	ga_ls8c_ard_3-1-0_098071_2020-03-13_final
2020-03-13 10:04:49	ga_ls8c_ard_3-1-0_098072_2020-03-13_final
2020-03-13 10:05:13	ga_ls8c_ard_3-1-0_098073_2020-03-13_final
2020-03-13 10:05:37	ga_ls8c_ard_3-1-0_098074_2020-03-13_final
2020-03-13 10:06:01	ga_ls8c_ard_3-1-0_098075_2020-03-13_final
2020-03-13 10:06:25	ga_ls8c_ard_3-1-0_098076_2020-03-13_final
2020-03-13 10:06:49	ga_ls8c_ard_3-1-0_098077_2020-03-13_final
2020-03-13 10:07:13	ga_ls8c_ard_3-1-0_098078_2020-03-13_final
2020-03-13 10:07:37	ga_ls8c_ard_3-1-0_098079_2020-03-13_final
2020-03-13 10:08:01	ga_ls8c_ard_3-1-0_098080_2020-03-13_final
2020-03-13 10:08:25	ga_ls8c_ard_3-1-0_098081_2020-03-13_final
2020-03-13 10:08:49	ga_ls8c_ard_3-1-0_098082_2020-03-13_final
2020-03-13 10:09:13	ga_ls8c_ard_3-1-0_098083_2020-03-13_final
2020-03-13 10:09:36	ga_ls8c_ard_3-1-0_098084_2020-03-13_final
2020-03-13 10:10:00	ga_ls8c_ard_3-1-0_098085_2020-03-13_final
2020-03-13 10:10:24	ga_ls8c_ard_3-1-0_098086_2020-03-13_final
2020-03-13 11:41:43	ga_ls8c_ard_3-1-0_114067_2020-03-13_final
2020-03-13 11:44:30	ga_ls8c_ard_3-1-0_114074_2020-03-13_final
2020-03-13 11:44:54	ga_ls8c_ard_3-1-0_114075_2020-03-13_final
2020-03-13 11:45:18	ga_ls8c_ard_3-1-0_114076_2020-03-13_final
2020-03-13 11:45:42	ga_ls8c_ard_3-1-0_114077_2020-03-13_final
2020-03-13 11:46:06	ga_ls8c_ard_3-1-0_114078_2020-03-13_final
2020-03-13 11:46:30	ga_ls8c_ard_3-1-0_114079_2020-03-13_final
2020-03-13 11:46:54	ga_ls8c_ard_3-1-0_114080_2020-03-13_final
2020-03-13 11:47:18	ga_ls8c_ard_3-1-0_114081_2020-03-13_final
2020-03-14 09:09:59	ga_ls8c_ard_3-1-0_089074_2020-03-13_final
2020-03-14 09:10:23	ga_ls8c_ard_3-1-0_089075_2020-03-13_final
2020-03-14 09:10:47	ga_ls8c_ard_3-1-0_089076_2020-03-13_final
2020-03-14 09:11:11	ga_ls8c_ard_3-1-0_089077_2020-03-13_final
2020-03-14 09:11:35	ga_ls8c_ard_3-1-0_089078_2020-03-13_final
2020-03-14 09:11:59	ga_ls8c_ard_3-1-0_089079_2020-03-13_final
2020-03-14 09:12:23	ga_ls8c_ard_3-1-0_089080_2020-03-13_final
2020-03-14 09:12:47	ga_ls8c_ard_3-1-0_089081_2020-03-13_final
2020-03-14 09:13:11	ga_ls8c_ard_3-1-0_089082_2020-03-13_final
2020-03-14 09:13:35	ga_ls8c_ard_3-1-0_089083_2020-03-13_final
2020-03-14 09:13:59	ga_ls8c_ard_3-1-0_089084_2020-03-13_final
2020-03-14 09:14:23	ga_ls8c_ard_3-1-0_089085_2020-03-13_final
2020-03-14 09:14:47	ga_ls8c_ard_3-1-0_089086_2020-03-13_final
2020-03-14 09:15:11	ga_ls8c_ard_3-1-0_089087_2020-03-13_final
2020-03-14 09:15:35	ga_ls8c_ard_3-1-0_089088_2020-03-13_final
2020-03-14 09:15:58	ga_ls8c_ard_3-1-0_089089_2020-03-13_final
2020-03-14 09:16:22	ga_ls8c_ard_3-1-0_089090_2020-03-13_final
2020-03-14 10:46:05	ga_ls8c_ard_3-1-0_105067_2020-03-14_final
2020-03-14 10:46:29	ga_ls8c_ard_3-1-0_105068_2020-03-14_final
2020-03-14 10:46:53	ga_ls8c_ard_3-1-0_105069_2020-03-14_final
2020-03-14 10:47:16	ga_ls8c_ard_3-1-0_105070_2020-03-14_final
2020-03-14 10:47:40	ga_ls8c_ard_3-1-0_105071_2020-03-14_final
2020-03-14 10:48:04	ga_ls8c_ard_3-1-0_105072_2020-03-14_final
2020-03-14 10:48:28	ga_ls8c_ard_3-1-0_105073_2020-03-14_final
2020-03-14 10:48:52	ga_ls8c_ard_3-1-0_105074_2020-03-14_final
2020-03-14 10:49:16	ga_ls8c_ard_3-1-0_105075_2020-03-14_final
2020-03-14 10:49:40	ga_ls8c_ard_3-1-0_105076_2020-03-14_final
2020-03-14 10:50:04	ga_ls8c_ard_3-1-0_105077_2020-03-14_final
2020-03-14 10:50:28	ga_ls8c_ard_3-1-0_105078_2020-03-14_final
2020-03-14 10:50:52	ga_ls8c_ard_3-1-0_105079_2020-03-14_final
2020-03-14 10:51:16	ga_ls8c_ard_3-1-0_105080_2020-03-14_final
2020-03-14 10:51:40	ga_ls8c_ard_3-1-0_105081_2020-03-14_final
2020-03-14 10:52:04	ga_ls8c_ard_3-1-0_105082_2020-03-14_final
2020-03-14 10:52:28	ga_ls8c_ard_3-1-0_105083_2020-03-14_final
2020-03-22 09:56:34	ga_ls8c_ard_3-1-0_097067_2020-03-22_final
2020-03-22 09:56:58	ga_ls8c_ard_3-1-0_097068_2020-03-22_final
2020-03-22 09:57:22	ga_ls8c_ard_3-1-0_097069_2020-03-22_final
2020-03-22 09:57:46	ga_ls8c_ard_3-1-0_097070_2020-03-22_final
2020-03-22 09:58:10	ga_ls8c_ard_3-1-0_097071_2020-03-22_final
2020-03-22 09:58:34	ga_ls8c_ard_3-1-0_097072_2020-03-22_final
2020-03-22 09:58:58	ga_ls8c_ard_3-1-0_097073_2020-03-22_final
2020-03-22 09:59:22	ga_ls8c_ard_3-1-0_097074_2020-03-22_final
2020-03-22 09:59:45	ga_ls8c_ard_3-1-0_097075_2020-03-22_final
2020-03-22 10:00:09	ga_ls8c_ard_3-1-0_097076_2020-03-22_final
2020-03-22 10:00:33	ga_ls8c_ard_3-1-0_097077_2020-03-22_final
2020-03-22 10:00:57	ga_ls8c_ard_3-1-0_097078_2020-03-22_final
2020-03-22 10:01:21	ga_ls8c_ard_3-1-0_097079_2020-03-22_final
2020-03-22 10:01:45	ga_ls8c_ard_3-1-0_097080_2020-03-22_final
2020-03-22 10:02:09	ga_ls8c_ard_3-1-0_097081_2020-03-22_final
2020-03-22 10:02:33	ga_ls8c_ard_3-1-0_097082_2020-03-22_final
2020-03-22 10:02:57	ga_ls8c_ard_3-1-0_097083_2020-03-22_final
2020-03-22 10:03:21	ga_ls8c_ard_3-1-0_097084_2020-03-22_final
2020-03-22 10:03:45	ga_ls8c_ard_3-1-0_097085_2020-03-22_final
2020-03-22 10:04:09	ga_ls8c_ard_3-1-0_097086_2020-03-22_final
2020-03-23 10:39:49	ga_ls8c_ard_3-1-0_104067_2020-03-23_final
2020-03-23 10:40:13	ga_ls8c_ard_3-1-0_104068_2020-03-23_final
2020-03-23 10:40:37	ga_ls8c_ard_3-1-0_104069_2020-03-23_final
2020-03-23 10:41:01	ga_ls8c_ard_3-1-0_104070_2020-03-23_final
2020-03-23 10:41:25	ga_ls8c_ard_3-1-0_104071_2020-03-23_final
2020-03-23 10:41:49	ga_ls8c_ard_3-1-0_104072_2020-03-23_final
2020-03-23 10:42:13	ga_ls8c_ard_3-1-0_104073_2020-03-23_final
2020-03-23 10:42:37	ga_ls8c_ard_3-1-0_104074_2020-03-23_final
2020-03-23 10:43:01	ga_ls8c_ard_3-1-0_104075_2020-03-23_final
2020-03-23 10:43:25	ga_ls8c_ard_3-1-0_104076_2020-03-23_final
2020-03-23 10:43:48	ga_ls8c_ard_3-1-0_104077_2020-03-23_final
2020-03-23 10:44:12	ga_ls8c_ard_3-1-0_104078_2020-03-23_final
2020-03-23 10:44:36	ga_ls8c_ard_3-1-0_104079_2020-03-23_final
2020-03-23 10:45:00	ga_ls8c_ard_3-1-0_104080_2020-03-23_final
2020-03-23 10:45:24	ga_ls8c_ard_3-1-0_104081_2020-03-23_final
2020-03-23 10:45:48	ga_ls8c_ard_3-1-0_104082_2020-03-23_final

Return to ga_ls8c_ard_3 across March 2020 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

2020

March

All days