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
2020-08-04 10:02:30	ga_ls8c_ard_3-2-1_098066_2020-08-04_final
2020-08-04 10:02:54	ga_ls8c_ard_3-1-0_098067_2020-08-04_final
2020-08-04 10:03:18	ga_ls8c_ard_3-1-0_098068_2020-08-04_final
2020-08-04 10:03:42	ga_ls8c_ard_3-1-0_098069_2020-08-04_final
2020-08-04 10:04:06	ga_ls8c_ard_3-1-0_098070_2020-08-04_final
2020-08-04 10:04:30	ga_ls8c_ard_3-1-0_098071_2020-08-04_final
2020-08-04 10:04:54	ga_ls8c_ard_3-1-0_098072_2020-08-04_final
2020-08-04 10:05:18	ga_ls8c_ard_3-1-0_098073_2020-08-04_final
2020-08-04 10:05:42	ga_ls8c_ard_3-1-0_098074_2020-08-04_final
2020-08-04 10:06:06	ga_ls8c_ard_3-1-0_098075_2020-08-04_final
2020-08-04 10:06:30	ga_ls8c_ard_3-1-0_098076_2020-08-04_final
2020-08-04 10:06:54	ga_ls8c_ard_3-1-0_098077_2020-08-04_final
2020-08-04 10:07:18	ga_ls8c_ard_3-1-0_098078_2020-08-04_final
2020-08-04 10:07:42	ga_ls8c_ard_3-1-0_098079_2020-08-04_final
2020-08-04 10:08:06	ga_ls8c_ard_3-1-0_098080_2020-08-04_final
2020-08-04 10:08:30	ga_ls8c_ard_3-1-0_098081_2020-08-04_final
2020-08-04 10:08:53	ga_ls8c_ard_3-1-0_098082_2020-08-04_final
2020-08-04 10:09:17	ga_ls8c_ard_3-1-0_098083_2020-08-04_final
2020-08-04 10:09:41	ga_ls8c_ard_3-1-0_098084_2020-08-04_final
2020-08-04 10:10:05	ga_ls8c_ard_3-1-0_098085_2020-08-04_final
2020-08-04 10:10:29	ga_ls8c_ard_3-1-0_098086_2020-08-04_final
2020-08-04 11:41:47	ga_ls8c_ard_3-1-0_114067_2020-08-04_final
2020-08-04 11:44:35	ga_ls8c_ard_3-1-0_114074_2020-08-04_final
2020-08-04 11:44:59	ga_ls8c_ard_3-1-0_114075_2020-08-04_final
2020-08-04 11:45:23	ga_ls8c_ard_3-1-0_114076_2020-08-04_final
2020-08-04 11:45:47	ga_ls8c_ard_3-1-0_114077_2020-08-04_final
2020-08-04 11:46:11	ga_ls8c_ard_3-1-0_114078_2020-08-04_final
2020-08-04 11:46:35	ga_ls8c_ard_3-1-0_114079_2020-08-04_final
2020-08-04 11:46:59	ga_ls8c_ard_3-1-0_114080_2020-08-04_final
2020-08-04 11:47:23	ga_ls8c_ard_3-1-0_114081_2020-08-04_final
2020-08-05 09:10:05	ga_ls8c_ard_3-1-0_089074_2020-08-04_final
2020-08-05 09:10:29	ga_ls8c_ard_3-1-0_089075_2020-08-04_final
2020-08-05 09:10:53	ga_ls8c_ard_3-1-0_089076_2020-08-04_final
2020-08-05 09:11:17	ga_ls8c_ard_3-1-0_089077_2020-08-04_final
2020-08-05 09:11:41	ga_ls8c_ard_3-1-0_089078_2020-08-04_final
2020-08-05 09:12:05	ga_ls8c_ard_3-1-0_089079_2020-08-04_final
2020-08-05 09:12:28	ga_ls8c_ard_3-1-0_089080_2020-08-04_final
2020-08-05 09:12:52	ga_ls8c_ard_3-1-0_089081_2020-08-04_final
2020-08-05 09:13:16	ga_ls8c_ard_3-1-0_089082_2020-08-04_final
2020-08-05 09:13:40	ga_ls8c_ard_3-1-0_089083_2020-08-04_final
2020-08-05 09:14:04	ga_ls8c_ard_3-1-0_089084_2020-08-04_final
2020-08-05 09:14:28	ga_ls8c_ard_3-1-0_089085_2020-08-04_final
2020-08-05 09:14:52	ga_ls8c_ard_3-1-0_089086_2020-08-04_final
2020-08-05 09:15:16	ga_ls8c_ard_3-1-0_089087_2020-08-04_final
2020-08-05 09:15:40	ga_ls8c_ard_3-1-0_089088_2020-08-04_final
2020-08-05 09:16:04	ga_ls8c_ard_3-1-0_089089_2020-08-04_final
2020-08-05 09:16:28	ga_ls8c_ard_3-1-0_089090_2020-08-04_final
2020-08-05 10:46:10	ga_ls8c_ard_3-1-0_105067_2020-08-05_final
2020-08-05 10:46:34	ga_ls8c_ard_3-1-0_105068_2020-08-05_final
2020-08-05 10:46:58	ga_ls8c_ard_3-1-0_105069_2020-08-05_final
2020-08-05 10:47:22	ga_ls8c_ard_3-1-0_105070_2020-08-05_final
2020-08-05 10:47:46	ga_ls8c_ard_3-1-0_105071_2020-08-05_final
2020-08-05 10:48:10	ga_ls8c_ard_3-1-0_105072_2020-08-05_final
2020-08-05 10:48:34	ga_ls8c_ard_3-1-0_105073_2020-08-05_final
2020-08-05 10:48:58	ga_ls8c_ard_3-1-0_105074_2020-08-05_final
2020-08-05 10:49:22	ga_ls8c_ard_3-1-0_105075_2020-08-05_final
2020-08-05 10:49:46	ga_ls8c_ard_3-1-0_105076_2020-08-05_final
2020-08-05 10:50:10	ga_ls8c_ard_3-1-0_105077_2020-08-05_final
2020-08-05 10:50:34	ga_ls8c_ard_3-1-0_105078_2020-08-05_final
2020-08-05 10:50:57	ga_ls8c_ard_3-1-0_105079_2020-08-05_final
2020-08-05 10:51:21	ga_ls8c_ard_3-1-0_105080_2020-08-05_final
2020-08-05 10:51:45	ga_ls8c_ard_3-1-0_105081_2020-08-05_final
2020-08-05 10:52:09	ga_ls8c_ard_3-1-0_105082_2020-08-05_final
2020-08-05 10:52:33	ga_ls8c_ard_3-1-0_105083_2020-08-05_final
2020-08-17 09:32:05	ga_ls8c_ard_3-1-0_093067_2020-08-17_final
2020-08-31 09:46:33	ga_ls8c_ard_3-1-0_095072_2020-08-31_final
2020-08-31 09:46:57	ga_ls8c_ard_3-1-0_095073_2020-08-31_final
2020-08-31 09:47:21	ga_ls8c_ard_3-1-0_095074_2020-08-31_final
2020-08-31 09:47:45	ga_ls8c_ard_3-1-0_095075_2020-08-31_final
2020-08-31 09:48:09	ga_ls8c_ard_3-1-0_095076_2020-08-31_final
2020-08-31 09:48:33	ga_ls8c_ard_3-1-0_095077_2020-08-31_final
2020-08-31 09:48:57	ga_ls8c_ard_3-1-0_095078_2020-08-31_final
2020-08-31 09:49:21	ga_ls8c_ard_3-1-0_095079_2020-08-31_final
2020-08-31 09:49:45	ga_ls8c_ard_3-1-0_095080_2020-08-31_final
2020-08-31 09:50:09	ga_ls8c_ard_3-1-0_095081_2020-08-31_final
2020-08-31 09:50:32	ga_ls8c_ard_3-1-0_095082_2020-08-31_final
2020-08-31 09:50:56	ga_ls8c_ard_3-1-0_095083_2020-08-31_final
2020-08-31 09:51:20	ga_ls8c_ard_3-1-0_095084_2020-08-31_final
2020-08-31 09:51:44	ga_ls8c_ard_3-1-0_095085_2020-08-31_final
2020-08-31 09:52:08	ga_ls8c_ard_3-1-0_095086_2020-08-31_final
2020-08-31 09:52:32	ga_ls8c_ard_3-1-0_095087_2020-08-31_final
2020-08-31 09:52:56	ga_ls8c_ard_3-1-0_095088_2020-08-31_final
2020-08-31 11:23:26	ga_ls8c_ard_3-1-0_111067_2020-08-31_final
2020-08-31 11:23:50	ga_ls8c_ard_3-1-0_111068_2020-08-31_final
2020-08-31 11:24:14	ga_ls8c_ard_3-1-0_111069_2020-08-31_final
2020-08-31 11:24:38	ga_ls8c_ard_3-1-0_111070_2020-08-31_final
2020-08-31 11:25:02	ga_ls8c_ard_3-1-0_111071_2020-08-31_final
2020-08-31 11:25:26	ga_ls8c_ard_3-1-0_111072_2020-08-31_final
2020-08-31 11:25:50	ga_ls8c_ard_3-1-0_111073_2020-08-31_final
2020-08-31 11:26:14	ga_ls8c_ard_3-1-0_111074_2020-08-31_final
2020-08-31 11:26:38	ga_ls8c_ard_3-1-0_111075_2020-08-31_final
2020-08-31 11:27:02	ga_ls8c_ard_3-1-0_111076_2020-08-31_final
2020-08-31 11:27:26	ga_ls8c_ard_3-1-0_111077_2020-08-31_final
2020-08-31 11:27:50	ga_ls8c_ard_3-1-0_111078_2020-08-31_final
2020-08-31 11:28:14	ga_ls8c_ard_3-1-0_111079_2020-08-31_final
2020-08-31 11:28:38	ga_ls8c_ard_3-1-0_111080_2020-08-31_final
2020-08-31 11:29:02	ga_ls8c_ard_3-1-0_111081_2020-08-31_final
2020-08-31 11:29:26	ga_ls8c_ard_3-1-0_111082_2020-08-31_final
2020-08-31 11:29:49	ga_ls8c_ard_3-1-0_111083_2020-08-31_final
2020-08-31 11:30:13	ga_ls8c_ard_3-1-0_111084_2020-08-31_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2020

August

All days