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
2020-06-07 11:04:19	ga_ls8c_ard_3-1-0_108067_2020-06-07_final
2020-06-07 11:04:43	ga_ls8c_ard_3-1-0_108068_2020-06-07_final
2020-06-07 11:06:19	ga_ls8c_ard_3-1-0_108072_2020-06-07_final
2020-06-07 11:06:43	ga_ls8c_ard_3-1-0_108073_2020-06-07_final
2020-06-07 11:07:07	ga_ls8c_ard_3-1-0_108074_2020-06-07_final
2020-06-07 11:07:30	ga_ls8c_ard_3-1-0_108075_2020-06-07_final
2020-06-07 11:07:54	ga_ls8c_ard_3-1-0_108076_2020-06-07_final
2020-06-07 11:08:18	ga_ls8c_ard_3-1-0_108077_2020-06-07_final
2020-06-07 11:08:42	ga_ls8c_ard_3-1-0_108078_2020-06-07_final
2020-06-07 11:09:06	ga_ls8c_ard_3-1-0_108079_2020-06-07_final
2020-06-07 11:09:30	ga_ls8c_ard_3-1-0_108080_2020-06-07_final
2020-06-07 11:09:54	ga_ls8c_ard_3-1-0_108081_2020-06-07_final
2020-06-07 11:10:18	ga_ls8c_ard_3-1-0_108082_2020-06-07_final
2020-06-07 11:10:42	ga_ls8c_ard_3-1-0_108083_2020-06-07_final
2020-06-07 11:11:06	ga_ls8c_ard_3-1-0_108084_2020-06-07_final
2020-06-07 11:11:30	ga_ls8c_ard_3-1-0_108085_2020-06-07_final
2020-06-09 10:54:22	ga_ls8c_ard_3-1-0_106073_2020-06-09_final
2020-06-09 10:54:46	ga_ls8c_ard_3-1-0_106074_2020-06-09_final
2020-06-09 10:55:10	ga_ls8c_ard_3-1-0_106075_2020-06-09_final
2020-06-09 10:55:34	ga_ls8c_ard_3-1-0_106076_2020-06-09_final
2020-06-09 10:55:58	ga_ls8c_ard_3-1-0_106077_2020-06-09_final
2020-06-09 10:56:46	ga_ls8c_ard_3-1-0_106079_2020-06-09_final
2020-06-09 10:57:10	ga_ls8c_ard_3-1-0_106080_2020-06-09_final
2020-06-09 10:57:34	ga_ls8c_ard_3-1-0_106081_2020-06-09_final
2020-06-09 10:57:58	ga_ls8c_ard_3-1-0_106082_2020-06-09_final
2020-06-09 10:58:22	ga_ls8c_ard_3-1-0_106083_2020-06-09_final
2020-06-09 10:58:46	ga_ls8c_ard_3-1-0_106084_2020-06-09_final
2020-06-11 10:39:38	ga_ls8c_ard_3-1-0_104067_2020-06-11_final
2020-06-11 10:40:02	ga_ls8c_ard_3-1-0_104068_2020-06-11_final
2020-06-11 10:45:13	ga_ls8c_ard_3-1-0_104081_2020-06-11_final
2020-06-12 11:23:18	ga_ls8c_ard_3-1-0_111068_2020-06-12_final
2020-06-12 11:23:42	ga_ls8c_ard_3-1-0_111069_2020-06-12_final
2020-06-12 11:24:06	ga_ls8c_ard_3-1-0_111070_2020-06-12_final
2020-06-12 11:24:30	ga_ls8c_ard_3-1-0_111071_2020-06-12_final
2020-06-12 11:24:54	ga_ls8c_ard_3-1-0_111072_2020-06-12_final
2020-06-12 11:25:18	ga_ls8c_ard_3-1-0_111073_2020-06-12_final
2020-06-12 11:26:06	ga_ls8c_ard_3-1-0_111075_2020-06-12_final
2020-06-12 11:26:30	ga_ls8c_ard_3-1-0_111076_2020-06-12_final
2020-06-12 11:26:54	ga_ls8c_ard_3-1-0_111077_2020-06-12_final
2020-06-12 11:27:18	ga_ls8c_ard_3-1-0_111078_2020-06-12_final
2020-06-12 11:27:42	ga_ls8c_ard_3-1-0_111079_2020-06-12_final
2020-06-12 11:28:06	ga_ls8c_ard_3-1-0_111080_2020-06-12_final
2020-06-12 11:28:30	ga_ls8c_ard_3-1-0_111081_2020-06-12_final
2020-06-12 11:28:54	ga_ls8c_ard_3-1-0_111082_2020-06-12_final
2020-06-12 11:29:42	ga_ls8c_ard_3-1-0_111084_2020-06-12_final
2020-06-12 11:30:05	ga_ls8c_ard_3-1-0_111085_2020-06-12_final
2020-06-14 11:10:34	ga_ls8c_ard_3-1-0_109067_2020-06-14_final
2020-06-14 11:11:22	ga_ls8c_ard_3-1-0_109069_2020-06-14_final
2020-06-14 11:12:10	ga_ls8c_ard_3-1-0_109071_2020-06-14_final
2020-06-14 11:12:34	ga_ls8c_ard_3-1-0_109072_2020-06-14_final
2020-06-14 11:13:22	ga_ls8c_ard_3-1-0_109074_2020-06-14_final
2020-06-14 11:13:45	ga_ls8c_ard_3-1-0_109075_2020-06-14_final
2020-06-14 11:14:09	ga_ls8c_ard_3-1-0_109076_2020-06-14_final
2020-06-14 11:14:33	ga_ls8c_ard_3-1-0_109077_2020-06-14_final
2020-06-14 11:14:57	ga_ls8c_ard_3-1-0_109078_2020-06-14_final
2020-06-14 11:15:45	ga_ls8c_ard_3-1-0_109080_2020-06-14_final
2020-06-14 11:16:09	ga_ls8c_ard_3-1-0_109081_2020-06-14_final
2020-06-14 11:16:33	ga_ls8c_ard_3-1-0_109082_2020-06-14_final
2020-06-14 11:16:57	ga_ls8c_ard_3-1-0_109083_2020-06-14_final
2020-06-14 11:17:45	ga_ls8c_ard_3-1-0_109085_2020-06-14_final
2020-06-16 10:58:37	ga_ls8c_ard_3-1-0_107068_2020-06-16_final
2020-06-16 10:59:01	ga_ls8c_ard_3-1-0_107069_2020-06-16_final
2020-06-16 10:59:49	ga_ls8c_ard_3-1-0_107071_2020-06-16_final
2020-06-16 11:00:37	ga_ls8c_ard_3-1-0_107073_2020-06-16_final
2020-06-16 11:01:25	ga_ls8c_ard_3-1-0_107075_2020-06-16_final
2020-06-16 11:01:49	ga_ls8c_ard_3-1-0_107076_2020-06-16_final
2020-06-16 11:02:37	ga_ls8c_ard_3-1-0_107078_2020-06-16_final
2020-06-16 11:03:01	ga_ls8c_ard_3-1-0_107079_2020-06-16_final
2020-06-16 11:03:25	ga_ls8c_ard_3-1-0_107080_2020-06-16_final
2020-06-16 11:03:49	ga_ls8c_ard_3-1-0_107081_2020-06-16_final
2020-06-16 11:04:13	ga_ls8c_ard_3-1-0_107082_2020-06-16_final
2020-06-16 11:04:37	ga_ls8c_ard_3-1-0_107083_2020-06-16_final
2020-06-16 11:05:24	ga_ls8c_ard_3-1-0_107085_2020-06-16_final
2020-06-18 10:45:53	ga_ls8c_ard_3-1-0_105067_2020-06-18_final
2020-06-18 10:46:17	ga_ls8c_ard_3-1-0_105068_2020-06-18_final
2020-06-18 10:47:05	ga_ls8c_ard_3-1-0_105070_2020-06-18_final
2020-06-18 10:47:29	ga_ls8c_ard_3-1-0_105071_2020-06-18_final
2020-06-18 10:48:17	ga_ls8c_ard_3-1-0_105073_2020-06-18_final
2020-06-18 10:48:41	ga_ls8c_ard_3-1-0_105074_2020-06-18_final
2020-06-18 10:49:04	ga_ls8c_ard_3-1-0_105075_2020-06-18_final
2020-06-18 10:49:52	ga_ls8c_ard_3-1-0_105077_2020-06-18_final
2020-06-18 10:50:40	ga_ls8c_ard_3-1-0_105079_2020-06-18_final
2020-06-18 10:51:04	ga_ls8c_ard_3-1-0_105080_2020-06-18_final
2020-06-18 10:51:28	ga_ls8c_ard_3-1-0_105081_2020-06-18_final
2020-06-18 10:51:52	ga_ls8c_ard_3-1-0_105082_2020-06-18_final
2020-06-18 10:52:16	ga_ls8c_ard_3-1-0_105083_2020-06-18_final
2020-06-19 11:29:09	ga_ls8c_ard_3-1-0_112067_2020-06-19_final
2020-06-19 11:29:33	ga_ls8c_ard_3-1-0_112068_2020-06-19_final
2020-06-19 11:29:57	ga_ls8c_ard_3-1-0_112069_2020-06-19_final
2020-06-19 11:30:21	ga_ls8c_ard_3-1-0_112070_2020-06-19_final
2020-06-19 11:30:45	ga_ls8c_ard_3-1-0_112071_2020-06-19_final
2020-06-19 11:31:09	ga_ls8c_ard_3-1-0_112072_2020-06-19_final
2020-06-19 11:31:33	ga_ls8c_ard_3-1-0_112073_2020-06-19_final
2020-06-19 11:31:57	ga_ls8c_ard_3-1-0_112074_2020-06-19_final
2020-06-19 11:32:21	ga_ls8c_ard_3-1-0_112075_2020-06-19_final
2020-06-19 11:33:09	ga_ls8c_ard_3-1-0_112077_2020-06-19_final
2020-06-19 11:33:33	ga_ls8c_ard_3-1-0_112078_2020-06-19_final
2020-06-19 11:33:57	ga_ls8c_ard_3-1-0_112079_2020-06-19_final
2020-06-19 11:34:20	ga_ls8c_ard_3-1-0_112080_2020-06-19_final
2020-06-19 11:35:08	ga_ls8c_ard_3-1-0_112082_2020-06-19_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