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
2013-06-27 11:14:05	ga_ls8c_ard_3-0-0_109070_2013-06-27_final
2013-06-27 11:14:28	ga_ls8c_ard_3-0-0_109071_2013-06-27_final
2013-06-27 11:14:52	ga_ls8c_ard_3-0-0_109072_2013-06-27_final
2013-06-29 11:03:43	ga_ls8c_ard_3-0-0_107075_2013-06-29_final
2013-06-29 11:04:07	ga_ls8c_ard_3-0-0_107076_2013-06-29_final
2013-06-29 11:04:31	ga_ls8c_ard_3-0-0_107077_2013-06-29_final
2013-06-29 11:04:55	ga_ls8c_ard_3-0-0_107078_2013-06-29_final
2013-06-29 11:05:19	ga_ls8c_ard_3-0-0_107079_2013-06-29_final
2013-06-29 11:05:43	ga_ls8c_ard_3-0-0_107080_2013-06-29_final
2013-06-29 11:06:07	ga_ls8c_ard_3-0-0_107081_2013-06-29_final
2013-08-05 11:19:07	ga_ls8c_ard_3-0-0_110067_2013-08-05_final
2013-08-07 11:08:22	ga_ls8c_ard_3-0-0_108071_2013-08-07_final
2013-08-07 11:08:45	ga_ls8c_ard_3-0-0_108072_2013-08-07_final
2013-08-07 11:09:09	ga_ls8c_ard_3-0-0_108073_2013-08-07_final
2013-08-07 11:09:33	ga_ls8c_ard_3-0-0_108074_2013-08-07_final
2013-08-07 11:09:57	ga_ls8c_ard_3-0-0_108075_2013-08-07_final
2013-08-07 11:10:21	ga_ls8c_ard_3-0-0_108076_2013-08-07_final
2013-08-21 11:19:09	ga_ls8c_ard_3-0-0_110067_2013-08-21_final
2013-08-23 11:08:23	ga_ls8c_ard_3-0-0_108071_2013-08-23_final
2013-08-23 11:08:47	ga_ls8c_ard_3-0-0_108072_2013-08-23_final
2013-08-23 11:09:11	ga_ls8c_ard_3-0-0_108073_2013-08-23_final
2013-08-23 11:09:35	ga_ls8c_ard_3-0-0_108074_2013-08-23_final
2013-08-23 11:09:59	ga_ls8c_ard_3-0-0_108075_2013-08-23_final
2013-08-23 11:10:23	ga_ls8c_ard_3-0-0_108076_2013-08-23_final
2013-10-24 11:18:53	ga_ls8c_ard_3-0-0_110067_2013-10-24_final
2013-10-26 11:08:06	ga_ls8c_ard_3-0-0_108071_2013-10-26_final
2013-10-26 11:08:29	ga_ls8c_ard_3-0-0_108072_2013-10-26_final
2013-10-26 11:08:53	ga_ls8c_ard_3-0-0_108073_2013-10-26_final
2013-10-26 11:09:17	ga_ls8c_ard_3-0-0_108074_2013-10-26_final
2013-10-26 11:09:41	ga_ls8c_ard_3-0-0_108075_2013-10-26_final
2013-10-26 11:10:05	ga_ls8c_ard_3-0-0_108076_2013-10-26_final
2013-10-26 11:10:29	ga_ls8c_ard_3-0-0_108077_2013-10-26_final
2013-11-04 11:03:30	ga_ls8c_ard_3-0-0_107075_2013-11-04_final
2013-11-04 11:03:54	ga_ls8c_ard_3-0-0_107076_2013-11-04_final
2013-11-04 11:04:18	ga_ls8c_ard_3-0-0_107077_2013-11-04_final
2013-11-04 11:04:42	ga_ls8c_ard_3-0-0_107078_2013-11-04_final
2013-11-04 11:05:06	ga_ls8c_ard_3-0-0_107079_2013-11-04_final
2013-11-04 11:05:30	ga_ls8c_ard_3-0-0_107080_2013-11-04_final
2013-11-04 11:05:54	ga_ls8c_ard_3-0-0_107081_2013-11-04_final
2014-03-12 11:02:18	ga_ls8c_ard_3-0-0_107075_2014-03-12_final
2014-03-12 11:02:42	ga_ls8c_ard_3-0-0_107076_2014-03-12_final
2014-03-12 11:03:06	ga_ls8c_ard_3-0-0_107077_2014-03-12_final
2014-03-12 11:03:30	ga_ls8c_ard_3-0-0_107078_2014-03-12_final
2014-03-12 11:03:54	ga_ls8c_ard_3-0-0_107079_2014-03-12_final
2014-03-12 11:04:18	ga_ls8c_ard_3-0-0_107080_2014-03-12_final
2014-03-12 11:04:42	ga_ls8c_ard_3-0-0_107081_2014-03-12_final
2014-05-24 10:57:04	ga_ls8c_ard_3-0-0_106080_2014-05-24_final
2014-05-24 10:57:28	ga_ls8c_ard_3-0-0_106081_2014-05-24_final
2014-05-24 10:57:52	ga_ls8c_ard_3-0-0_106082_2014-05-24_final
2014-05-24 10:58:16	ga_ls8c_ard_3-0-0_106083_2014-05-24_final
2022-05-12 11:06:15	ga_ls8c_ard_3-2-1_108071_2022-05-12_final
2022-05-12 11:06:39	ga_ls8c_ard_3-2-1_108072_2022-05-12_final
2022-05-12 11:07:03	ga_ls8c_ard_3-2-1_108073_2022-05-12_final
2022-05-12 11:07:27	ga_ls8c_ard_3-2-1_108074_2022-05-12_final
2022-05-12 11:07:51	ga_ls8c_ard_3-2-1_108075_2022-05-12_final
2022-05-12 11:08:15	ga_ls8c_ard_3-2-1_108076_2022-05-12_final
2022-05-21 11:01:42	ga_ls8c_ard_3-2-1_107075_2022-05-21_final
2022-05-21 11:02:06	ga_ls8c_ard_3-2-1_107076_2022-05-21_final
2022-05-21 11:02:30	ga_ls8c_ard_3-2-1_107077_2022-05-21_final
2022-05-21 11:02:54	ga_ls8c_ard_3-2-1_107078_2022-05-21_final
2022-05-21 11:03:18	ga_ls8c_ard_3-2-1_107079_2022-05-21_final
2022-05-21 11:03:42	ga_ls8c_ard_3-2-1_107080_2022-05-21_final
2022-05-21 11:04:06	ga_ls8c_ard_3-2-1_107081_2022-05-21_final
2022-09-17 11:06:59	ga_ls8c_ard_3-2-1_108071_2022-09-17_final
2022-09-17 11:07:23	ga_ls8c_ard_3-2-1_108072_2022-09-17_final
2022-09-17 11:07:47	ga_ls8c_ard_3-2-1_108073_2022-09-17_final
2022-09-17 11:08:11	ga_ls8c_ard_3-2-1_108074_2022-09-17_final
2022-09-17 11:08:35	ga_ls8c_ard_3-2-1_108075_2022-09-17_final
2022-09-17 11:08:59	ga_ls8c_ard_3-2-1_108076_2022-09-17_final
2022-09-19 10:58:13	ga_ls8c_ard_3-2-1_106080_2022-09-19_final
2022-09-19 10:58:37	ga_ls8c_ard_3-2-1_106081_2022-09-19_final
2022-09-19 10:59:01	ga_ls8c_ard_3-2-1_106082_2022-09-19_final
2022-09-19 10:59:25	ga_ls8c_ard_3-2-1_106083_2022-09-19_final
2022-09-24 11:12:23	ga_ls8c_ard_3-2-1_109069_2022-09-24_final
2022-09-24 11:12:47	ga_ls8c_ard_3-2-1_109070_2022-09-24_final
2022-09-24 11:13:11	ga_ls8c_ard_3-2-1_109071_2022-09-24_final
2022-09-24 11:13:35	ga_ls8c_ard_3-2-1_109072_2022-09-24_final
2022-09-28 10:53:14	ga_ls8c_ard_3-2-1_105083_2022-09-28_final
2022-10-03 11:06:58	ga_ls8c_ard_3-2-1_108071_2022-10-03_final
2022-10-03 11:07:22	ga_ls8c_ard_3-2-1_108072_2022-10-03_final
2022-10-03 11:07:46	ga_ls8c_ard_3-2-1_108073_2022-10-03_final
2022-10-03 11:08:10	ga_ls8c_ard_3-2-1_108074_2022-10-03_final
2022-10-03 11:08:34	ga_ls8c_ard_3-2-1_108075_2022-10-03_final
2022-10-03 11:08:58	ga_ls8c_ard_3-2-1_108076_2022-10-03_final
2022-10-05 10:58:11	ga_ls8c_ard_3-2-1_106080_2022-10-05_final
2022-10-05 10:58:35	ga_ls8c_ard_3-2-1_106081_2022-10-05_final
2022-10-05 10:58:59	ga_ls8c_ard_3-2-1_106082_2022-10-05_final
2022-10-05 10:59:23	ga_ls8c_ard_3-2-1_106083_2022-10-05_final
2022-10-10 11:12:17	ga_ls8c_ard_3-2-1_109069_2022-10-10_final
2022-10-10 11:12:41	ga_ls8c_ard_3-2-1_109070_2022-10-10_final
2022-10-26 11:12:21	ga_ls8c_ard_3-2-1_109069_2022-10-26_final
2022-10-26 11:12:45	ga_ls8c_ard_3-2-1_109070_2022-10-26_final
2022-10-26 11:13:09	ga_ls8c_ard_3-2-1_109071_2022-10-26_final
2022-10-26 11:13:33	ga_ls8c_ard_3-2-1_109072_2022-10-26_final
2022-10-28 11:02:24	ga_ls8c_ard_3-2-1_107075_2022-10-28_final
2022-10-28 11:02:48	ga_ls8c_ard_3-2-1_107076_2022-10-28_final
2022-10-28 11:03:12	ga_ls8c_ard_3-2-1_107077_2022-10-28_final
2022-10-28 11:03:36	ga_ls8c_ard_3-2-1_107078_2022-10-28_final
2022-10-28 11:04:00	ga_ls8c_ard_3-2-1_107079_2022-10-28_final
2022-10-28 11:04:23	ga_ls8c_ard_3-2-1_107080_2022-10-28_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