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
2013-11-20 11:03:24	ga_ls8c_ard_3-0-0_107075_2013-11-20_final
2013-11-20 11:03:47	ga_ls8c_ard_3-0-0_107076_2013-11-20_final
2013-11-20 11:04:11	ga_ls8c_ard_3-0-0_107077_2013-11-20_final
2013-11-20 11:04:35	ga_ls8c_ard_3-0-0_107078_2013-11-20_final
2013-11-20 11:04:59	ga_ls8c_ard_3-0-0_107079_2013-11-20_final
2013-11-20 11:05:23	ga_ls8c_ard_3-0-0_107080_2013-11-20_final
2013-11-20 11:05:47	ga_ls8c_ard_3-0-0_107081_2013-11-20_final
2014-05-04 11:16:47	ga_ls8c_ard_3-0-0_110067_2014-05-04_final
2014-05-06 11:05:59	ga_ls8c_ard_3-0-0_108071_2014-05-06_final
2014-05-06 11:06:22	ga_ls8c_ard_3-0-0_108072_2014-05-06_final
2014-05-06 11:06:46	ga_ls8c_ard_3-0-0_108073_2014-05-06_final
2014-05-06 11:07:10	ga_ls8c_ard_3-0-0_108074_2014-05-06_final
2014-05-06 11:07:34	ga_ls8c_ard_3-0-0_108075_2014-05-06_final
2014-05-06 11:07:58	ga_ls8c_ard_3-0-0_108076_2014-05-06_final
2014-05-06 11:08:22	ga_ls8c_ard_3-0-0_108077_2014-05-06_final
2014-06-21 11:16:50	ga_ls8c_ard_3-0-0_110067_2014-06-21_final
2016-05-25 11:16:44	ga_ls8c_ard_3-0-0_110067_2016-05-25_final
2016-05-27 11:05:59	ga_ls8c_ard_3-0-0_108071_2016-05-27_final
2016-05-27 11:06:23	ga_ls8c_ard_3-0-0_108072_2016-05-27_final
2016-05-27 11:06:47	ga_ls8c_ard_3-0-0_108073_2016-05-27_final
2016-05-27 11:07:11	ga_ls8c_ard_3-0-0_108074_2016-05-27_final
2016-05-27 11:07:35	ga_ls8c_ard_3-0-0_108075_2016-05-27_final
2016-05-27 11:07:59	ga_ls8c_ard_3-0-0_108076_2016-05-27_final
2016-05-29 10:57:14	ga_ls8c_ard_3-0-0_106080_2016-05-29_final
2016-05-29 10:57:37	ga_ls8c_ard_3-0-0_106081_2016-05-29_final
2016-05-29 10:58:01	ga_ls8c_ard_3-0-0_106082_2016-05-29_final
2016-05-29 10:58:25	ga_ls8c_ard_3-0-0_106083_2016-05-29_final
2016-05-29 10:58:49	ga_ls8c_ard_3-0-0_106084_2016-05-29_final
2016-06-14 10:57:16	ga_ls8c_ard_3-0-0_106080_2016-06-14_final
2016-06-14 10:57:40	ga_ls8c_ard_3-0-0_106081_2016-06-14_final
2016-06-14 10:58:04	ga_ls8c_ard_3-0-0_106082_2016-06-14_final
2016-06-14 10:58:28	ga_ls8c_ard_3-0-0_106083_2016-06-14_final
2016-06-14 10:58:52	ga_ls8c_ard_3-0-0_106084_2016-06-14_final
2016-06-19 11:10:39	ga_ls8c_ard_3-0-0_109067_2016-06-19_final
2016-06-19 11:11:03	ga_ls8c_ard_3-0-0_109068_2016-06-19_final
2016-06-19 11:11:27	ga_ls8c_ard_3-0-0_109069_2016-06-19_final
2016-06-19 11:11:51	ga_ls8c_ard_3-0-0_109070_2016-06-19_final
2016-06-19 11:12:15	ga_ls8c_ard_3-0-0_109071_2016-06-19_final
2016-06-19 11:12:39	ga_ls8c_ard_3-0-0_109072_2016-06-19_final
2016-06-21 11:01:31	ga_ls8c_ard_3-0-0_107075_2016-06-21_final
2016-06-21 11:01:55	ga_ls8c_ard_3-0-0_107076_2016-06-21_final
2016-06-21 11:02:18	ga_ls8c_ard_3-0-0_107077_2016-06-21_final
2016-06-21 11:02:42	ga_ls8c_ard_3-0-0_107078_2016-06-21_final
2016-06-21 11:03:06	ga_ls8c_ard_3-0-0_107079_2016-06-21_final
2016-06-21 11:03:30	ga_ls8c_ard_3-0-0_107080_2016-06-21_final
2016-06-21 11:03:54	ga_ls8c_ard_3-0-0_107081_2016-06-21_final
2020-03-03 11:06:18	ga_ls8c_ard_3-1-0_108071_2020-03-03_final
2020-03-03 11:06:42	ga_ls8c_ard_3-1-0_108072_2020-03-03_final
2020-03-03 11:07:06	ga_ls8c_ard_3-1-0_108073_2020-03-03_final
2020-03-03 11:07:29	ga_ls8c_ard_3-1-0_108074_2020-03-03_final
2020-03-03 11:07:53	ga_ls8c_ard_3-1-0_108075_2020-03-03_final
2020-03-03 11:08:17	ga_ls8c_ard_3-1-0_108076_2020-03-03_final
2020-03-03 11:08:41	ga_ls8c_ard_3-1-0_108077_2020-03-03_final
2020-05-06 11:05:46	ga_ls8c_ard_3-1-0_108071_2020-05-06_final
2020-05-06 11:06:10	ga_ls8c_ard_3-1-0_108072_2020-05-06_final
2020-05-06 11:06:34	ga_ls8c_ard_3-1-0_108073_2020-05-06_final
2020-05-06 11:06:57	ga_ls8c_ard_3-1-0_108074_2020-05-06_final
2021-01-31 11:17:15	ga_ls8c_ard_3-2-0_110067_2021-01-31_final
2021-02-02 11:06:28	ga_ls8c_ard_3-2-0_108071_2021-02-02_final
2021-02-02 11:06:52	ga_ls8c_ard_3-2-0_108072_2021-02-02_final
2021-02-02 11:07:16	ga_ls8c_ard_3-2-0_108073_2021-02-02_final
2021-02-02 11:07:40	ga_ls8c_ard_3-2-0_108074_2021-02-02_final
2021-02-02 11:08:04	ga_ls8c_ard_3-2-0_108075_2021-02-02_final
2021-02-02 11:08:28	ga_ls8c_ard_3-2-0_108076_2021-02-02_final
2021-02-02 11:08:52	ga_ls8c_ard_3-2-0_108077_2021-02-02_final
2021-02-18 11:06:24	ga_ls8c_ard_3-2-0_108071_2021-02-18_final
2021-02-18 11:06:48	ga_ls8c_ard_3-2-0_108072_2021-02-18_final
2021-02-18 11:07:12	ga_ls8c_ard_3-2-0_108073_2021-02-18_final
2021-02-18 11:07:36	ga_ls8c_ard_3-2-0_108074_2021-02-18_final
2021-02-18 11:08:00	ga_ls8c_ard_3-2-0_108075_2021-02-18_final
2021-02-18 11:08:24	ga_ls8c_ard_3-2-0_108076_2021-02-18_final
2021-02-18 11:08:48	ga_ls8c_ard_3-2-0_108077_2021-02-18_final
2021-02-20 10:57:38	ga_ls8c_ard_3-2-0_106080_2021-02-20_final
2021-02-20 10:58:02	ga_ls8c_ard_3-2-0_106081_2021-02-20_final
2021-02-20 10:58:25	ga_ls8c_ard_3-2-0_106082_2021-02-20_final
2021-02-20 10:58:49	ga_ls8c_ard_3-2-0_106083_2021-02-20_final
2021-02-20 10:59:13	ga_ls8c_ard_3-2-0_106084_2021-02-20_final
2021-03-06 11:06:17	ga_ls8c_ard_3-2-0_108071_2021-03-06_final
2021-03-06 11:06:41	ga_ls8c_ard_3-2-0_108072_2021-03-06_final
2021-03-06 11:07:05	ga_ls8c_ard_3-2-0_108073_2021-03-06_final
2021-03-06 11:07:29	ga_ls8c_ard_3-2-0_108074_2021-03-06_final
2021-03-06 11:07:53	ga_ls8c_ard_3-2-0_108075_2021-03-06_final
2021-03-06 11:08:17	ga_ls8c_ard_3-2-0_108076_2021-03-06_final
2021-03-06 11:08:41	ga_ls8c_ard_3-2-0_108077_2021-03-06_final
2021-03-08 10:57:30	ga_ls8c_ard_3-2-0_106080_2021-03-08_final
2021-03-08 10:57:54	ga_ls8c_ard_3-2-0_106081_2021-03-08_final
2021-03-08 10:58:18	ga_ls8c_ard_3-2-0_106082_2021-03-08_final
2021-03-08 10:58:42	ga_ls8c_ard_3-2-0_106083_2021-03-08_final
2021-03-08 10:59:06	ga_ls8c_ard_3-2-0_106084_2021-03-08_final
2021-03-13 11:10:48	ga_ls8c_ard_3-2-0_109067_2021-03-13_final
2021-03-13 11:11:12	ga_ls8c_ard_3-2-0_109068_2021-03-13_final
2021-03-13 11:11:36	ga_ls8c_ard_3-2-0_109069_2021-03-13_final
2021-03-13 11:12:00	ga_ls8c_ard_3-2-0_109070_2021-03-13_final
2021-03-13 11:12:24	ga_ls8c_ard_3-2-0_109071_2021-03-13_final
2021-03-13 11:12:48	ga_ls8c_ard_3-2-0_109072_2021-03-13_final
2021-03-15 11:02:01	ga_ls8c_ard_3-2-0_107076_2021-03-15_final
2021-03-15 11:02:25	ga_ls8c_ard_3-2-0_107077_2021-03-15_final
2021-03-15 11:02:49	ga_ls8c_ard_3-2-0_107078_2021-03-15_final
2021-03-15 11:03:13	ga_ls8c_ard_3-2-0_107079_2021-03-15_final
2021-03-15 11:03:37	ga_ls8c_ard_3-2-0_107080_2021-03-15_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