Search ga_ls8c_ard_3 across August 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
2020-08-20 10:08:12	ga_ls8c_ard_3-1-0_098080_2020-08-20_final
2020-08-20 10:08:35	ga_ls8c_ard_3-1-0_098081_2020-08-20_final
2020-08-20 10:08:59	ga_ls8c_ard_3-1-0_098082_2020-08-20_final
2020-08-20 10:09:23	ga_ls8c_ard_3-1-0_098083_2020-08-20_final
2020-08-20 10:09:47	ga_ls8c_ard_3-1-0_098084_2020-08-20_final
2020-08-20 10:10:11	ga_ls8c_ard_3-1-0_098085_2020-08-20_final
2020-08-20 11:41:53	ga_ls8c_ard_3-1-0_114067_2020-08-20_final
2020-08-20 11:44:41	ga_ls8c_ard_3-1-0_114074_2020-08-20_final
2020-08-20 11:45:05	ga_ls8c_ard_3-1-0_114075_2020-08-20_final
2020-08-21 09:10:11	ga_ls8c_ard_3-1-0_089074_2020-08-20_final
2020-08-21 09:10:35	ga_ls8c_ard_3-1-0_089075_2020-08-20_final
2020-08-21 09:10:59	ga_ls8c_ard_3-1-0_089076_2020-08-20_final
2020-08-21 09:11:23	ga_ls8c_ard_3-1-0_089077_2020-08-20_final
2020-08-21 09:11:47	ga_ls8c_ard_3-1-0_089078_2020-08-20_final
2020-08-21 09:12:11	ga_ls8c_ard_3-1-0_089079_2020-08-20_final
2020-08-21 09:12:35	ga_ls8c_ard_3-1-0_089080_2020-08-20_final
2020-08-21 09:14:34	ga_ls8c_ard_3-1-0_089085_2020-08-20_final
2020-08-21 09:14:58	ga_ls8c_ard_3-1-0_089086_2020-08-20_final
2020-08-21 09:15:22	ga_ls8c_ard_3-1-0_089087_2020-08-20_final
2020-08-21 09:15:46	ga_ls8c_ard_3-1-0_089088_2020-08-20_final
2020-08-21 09:16:10	ga_ls8c_ard_3-1-0_089089_2020-08-20_final
2020-08-21 09:16:34	ga_ls8c_ard_3-1-0_089090_2020-08-20_final
2020-08-21 10:48:40	ga_ls8c_ard_3-1-0_105073_2020-08-21_final
2020-08-21 10:49:28	ga_ls8c_ard_3-1-0_105075_2020-08-21_final
2020-08-21 10:49:52	ga_ls8c_ard_3-1-0_105076_2020-08-21_final
2020-08-21 10:50:16	ga_ls8c_ard_3-1-0_105077_2020-08-21_final
2020-08-21 10:50:40	ga_ls8c_ard_3-1-0_105078_2020-08-21_final
2020-08-21 10:51:04	ga_ls8c_ard_3-1-0_105079_2020-08-21_final
2020-08-21 10:51:28	ga_ls8c_ard_3-1-0_105080_2020-08-21_final
2020-08-21 10:51:52	ga_ls8c_ard_3-1-0_105081_2020-08-21_final
2020-08-21 10:52:16	ga_ls8c_ard_3-1-0_105082_2020-08-21_final
2020-08-21 10:52:40	ga_ls8c_ard_3-1-0_105083_2020-08-21_final
2020-08-28 09:17:13	ga_ls8c_ard_3-1-0_090076_2020-08-27_final
2020-08-28 09:17:37	ga_ls8c_ard_3-1-0_090077_2020-08-27_final
2020-08-28 09:18:01	ga_ls8c_ard_3-1-0_090078_2020-08-27_final
2020-08-28 09:18:25	ga_ls8c_ard_3-1-0_090079_2020-08-27_final
2020-08-28 09:18:49	ga_ls8c_ard_3-1-0_090080_2020-08-27_final
2020-08-28 09:19:13	ga_ls8c_ard_3-1-0_090081_2020-08-27_final
2020-08-28 09:19:37	ga_ls8c_ard_3-1-0_090082_2020-08-27_final
2020-08-28 09:20:01	ga_ls8c_ard_3-1-0_090083_2020-08-27_final
2020-08-28 09:20:25	ga_ls8c_ard_3-1-0_090084_2020-08-27_final
2020-08-28 09:20:49	ga_ls8c_ard_3-1-0_090085_2020-08-27_final
2020-08-28 09:21:13	ga_ls8c_ard_3-1-0_090086_2020-08-27_final
2020-08-28 09:21:37	ga_ls8c_ard_3-1-0_090087_2020-08-27_final
2020-08-28 09:22:01	ga_ls8c_ard_3-1-0_090088_2020-08-27_final
2020-08-28 09:22:25	ga_ls8c_ard_3-1-0_090089_2020-08-27_final
2020-08-28 09:22:49	ga_ls8c_ard_3-1-0_090090_2020-08-27_final
2020-08-28 09:23:13	ga_ls8c_ard_3-1-0_090091_2020-08-27_final
2020-08-28 10:52:31	ga_ls8c_ard_3-1-0_106067_2020-08-28_final
2020-08-28 10:52:55	ga_ls8c_ard_3-1-0_106068_2020-08-28_final
2020-08-28 10:53:19	ga_ls8c_ard_3-1-0_106069_2020-08-28_final
2020-08-28 10:53:43	ga_ls8c_ard_3-1-0_106070_2020-08-28_final
2020-08-28 10:54:07	ga_ls8c_ard_3-1-0_106071_2020-08-28_final
2020-08-28 10:54:31	ga_ls8c_ard_3-1-0_106072_2020-08-28_final
2020-08-28 10:54:54	ga_ls8c_ard_3-1-0_106073_2020-08-28_final
2020-08-28 10:55:18	ga_ls8c_ard_3-1-0_106074_2020-08-28_final
2020-08-28 10:55:42	ga_ls8c_ard_3-1-0_106075_2020-08-28_final
2020-08-28 10:56:06	ga_ls8c_ard_3-1-0_106076_2020-08-28_final
2020-08-28 10:56:30	ga_ls8c_ard_3-1-0_106077_2020-08-28_final
2020-08-28 10:56:54	ga_ls8c_ard_3-1-0_106078_2020-08-28_final
2020-08-28 10:57:18	ga_ls8c_ard_3-1-0_106079_2020-08-28_final
2020-08-28 10:57:42	ga_ls8c_ard_3-1-0_106080_2020-08-28_final
2020-08-28 10:58:06	ga_ls8c_ard_3-1-0_106081_2020-08-28_final
2020-08-28 10:58:30	ga_ls8c_ard_3-1-0_106082_2020-08-28_final
2020-08-28 10:58:54	ga_ls8c_ard_3-1-0_106083_2020-08-28_final
2020-08-28 10:59:18	ga_ls8c_ard_3-1-0_106084_2020-08-28_final
2020-08-28 12:31:24	ga_ls8c_ard_3-2-1_122067_2020-08-28_final
2020-08-29 09:56:54	ga_ls8c_ard_3-1-0_097067_2020-08-29_final
2020-08-29 09:57:18	ga_ls8c_ard_3-1-0_097068_2020-08-29_final
2020-08-29 09:57:42	ga_ls8c_ard_3-1-0_097069_2020-08-29_final
2020-08-29 09:58:06	ga_ls8c_ard_3-1-0_097070_2020-08-29_final
2020-08-29 09:58:30	ga_ls8c_ard_3-1-0_097071_2020-08-29_final
2020-08-29 09:58:54	ga_ls8c_ard_3-1-0_097072_2020-08-29_final
2020-08-29 09:59:18	ga_ls8c_ard_3-1-0_097073_2020-08-29_final
2020-08-29 09:59:42	ga_ls8c_ard_3-1-0_097074_2020-08-29_final
2020-08-29 10:00:06	ga_ls8c_ard_3-1-0_097075_2020-08-29_final
2020-08-29 10:00:29	ga_ls8c_ard_3-1-0_097076_2020-08-29_final
2020-08-29 10:00:53	ga_ls8c_ard_3-1-0_097077_2020-08-29_final
2020-08-29 10:01:17	ga_ls8c_ard_3-1-0_097078_2020-08-29_final
2020-08-29 10:01:41	ga_ls8c_ard_3-1-0_097079_2020-08-29_final
2020-08-29 10:02:05	ga_ls8c_ard_3-1-0_097080_2020-08-29_final
2020-08-29 10:02:29	ga_ls8c_ard_3-1-0_097081_2020-08-29_final
2020-08-29 10:02:53	ga_ls8c_ard_3-1-0_097082_2020-08-29_final
2020-08-29 10:03:17	ga_ls8c_ard_3-1-0_097083_2020-08-29_final
2020-08-29 10:03:41	ga_ls8c_ard_3-1-0_097084_2020-08-29_final
2020-08-29 10:04:05	ga_ls8c_ard_3-1-0_097085_2020-08-29_final
2020-08-29 10:04:29	ga_ls8c_ard_3-1-0_097086_2020-08-29_final
2020-08-29 11:35:47	ga_ls8c_ard_3-1-0_113067_2020-08-29_final
2020-08-29 11:37:47	ga_ls8c_ard_3-1-0_113072_2020-08-29_final
2020-08-29 11:38:11	ga_ls8c_ard_3-1-0_113073_2020-08-29_final
2020-08-29 11:38:35	ga_ls8c_ard_3-1-0_113074_2020-08-29_final
2020-08-29 11:38:59	ga_ls8c_ard_3-1-0_113075_2020-08-29_final
2020-08-29 11:39:23	ga_ls8c_ard_3-1-0_113076_2020-08-29_final
2020-08-29 11:39:47	ga_ls8c_ard_3-1-0_113077_2020-08-29_final
2020-08-29 11:40:10	ga_ls8c_ard_3-1-0_113078_2020-08-29_final
2020-08-29 11:40:34	ga_ls8c_ard_3-1-0_113079_2020-08-29_final
2020-08-29 11:40:58	ga_ls8c_ard_3-1-0_113080_2020-08-29_final
2020-08-29 11:41:22	ga_ls8c_ard_3-1-0_113081_2020-08-29_final
2020-08-29 11:41:46	ga_ls8c_ard_3-1-0_113082_2020-08-29_final
2020-08-29 11:42:10	ga_ls8c_ard_3-1-0_113083_2020-08-29_final

Return to ga_ls8c_ard_3 across August 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

August

All days