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
2013-09-08 11:08:22	ga_ls8c_ard_3-0-0_108071_2013-09-08_final
2013-09-08 11:08:46	ga_ls8c_ard_3-0-0_108072_2013-09-08_final
2013-09-08 11:09:10	ga_ls8c_ard_3-0-0_108073_2013-09-08_final
2013-09-08 11:09:34	ga_ls8c_ard_3-0-0_108074_2013-09-08_final
2013-09-15 11:14:06	ga_ls8c_ard_3-0-0_109070_2013-09-15_final
2013-09-15 11:14:30	ga_ls8c_ard_3-0-0_109071_2013-09-15_final
2013-09-15 11:14:54	ga_ls8c_ard_3-0-0_109072_2013-09-15_final
2013-09-17 11:03:44	ga_ls8c_ard_3-0-0_107075_2013-09-17_final
2013-09-17 11:04:07	ga_ls8c_ard_3-0-0_107076_2013-09-17_final
2013-09-17 11:04:31	ga_ls8c_ard_3-0-0_107077_2013-09-17_final
2013-09-17 11:04:55	ga_ls8c_ard_3-0-0_107078_2013-09-17_final
2013-09-17 11:05:19	ga_ls8c_ard_3-0-0_107079_2013-09-17_final
2013-09-17 11:05:43	ga_ls8c_ard_3-0-0_107080_2013-09-17_final
2013-09-17 11:06:07	ga_ls8c_ard_3-0-0_107081_2013-09-17_final
2013-09-26 10:59:27	ga_ls8c_ard_3-0-0_106080_2013-09-26_final
2013-09-26 10:59:51	ga_ls8c_ard_3-0-0_106081_2013-09-26_final
2013-09-26 11:00:15	ga_ls8c_ard_3-0-0_106082_2013-09-26_final
2013-09-26 11:00:39	ga_ls8c_ard_3-0-0_106083_2013-09-26_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
2013-11-13 10:59:18	ga_ls8c_ard_3-0-0_106080_2013-11-13_final
2013-11-13 10:59:42	ga_ls8c_ard_3-0-0_106081_2013-11-13_final
2013-11-13 11:00:06	ga_ls8c_ard_3-0-0_106082_2013-11-13_final
2013-11-13 11:00:30	ga_ls8c_ard_3-0-0_106083_2013-11-13_final
2013-12-20 11:13:11	ga_ls8c_ard_3-0-0_109069_2013-12-20_final
2013-12-20 11:13:35	ga_ls8c_ard_3-0-0_109070_2013-12-20_final
2013-12-20 11:13:59	ga_ls8c_ard_3-0-0_109071_2013-12-20_final
2013-12-20 11:14:23	ga_ls8c_ard_3-0-0_109072_2013-12-20_final
2013-12-22 11:03:13	ga_ls8c_ard_3-0-0_107075_2013-12-22_final
2013-12-22 11:03:37	ga_ls8c_ard_3-0-0_107076_2013-12-22_final
2013-12-22 11:04:01	ga_ls8c_ard_3-0-0_107077_2013-12-22_final
2013-12-22 11:04:25	ga_ls8c_ard_3-0-0_107078_2013-12-22_final
2013-12-22 11:04:49	ga_ls8c_ard_3-0-0_107079_2013-12-22_final
2013-12-22 11:05:13	ga_ls8c_ard_3-0-0_107080_2013-12-22_final
2013-12-22 11:05:37	ga_ls8c_ard_3-0-0_107081_2013-12-22_final
2013-12-29 11:07:46	ga_ls8c_ard_3-0-0_108071_2013-12-29_final
2013-12-29 11:08:10	ga_ls8c_ard_3-0-0_108072_2013-12-29_final
2014-02-01 10:58:38	ga_ls8c_ard_3-0-0_106080_2014-02-01_final
2014-02-01 10:59:02	ga_ls8c_ard_3-0-0_106081_2014-02-01_final
2014-02-01 10:59:26	ga_ls8c_ard_3-0-0_106082_2014-02-01_final
2014-02-01 10:59:50	ga_ls8c_ard_3-0-0_106083_2014-02-01_final
2014-02-06 11:13:07	ga_ls8c_ard_3-0-0_109070_2014-02-06_final
2014-02-06 11:13:31	ga_ls8c_ard_3-0-0_109071_2014-02-06_final
2014-02-06 11:13:55	ga_ls8c_ard_3-0-0_109072_2014-02-06_final
2020-03-05 10:57:31	ga_ls8c_ard_3-1-0_106080_2020-03-05_final
2020-03-05 10:57:55	ga_ls8c_ard_3-1-0_106081_2020-03-05_final
2020-03-05 10:58:19	ga_ls8c_ard_3-1-0_106082_2020-03-05_final
2020-03-05 10:58:43	ga_ls8c_ard_3-1-0_106083_2020-03-05_final
2020-03-05 10:59:06	ga_ls8c_ard_3-1-0_106084_2020-03-05_final
2020-03-17 11:16:57	ga_ls8c_ard_3-1-0_110067_2020-03-17_final
2020-04-06 10:57:14	ga_ls8c_ard_3-1-0_106080_2020-04-06_final
2020-04-06 10:57:38	ga_ls8c_ard_3-1-0_106081_2020-04-06_final
2020-04-06 10:58:02	ga_ls8c_ard_3-1-0_106082_2020-04-06_final
2020-04-06 10:58:26	ga_ls8c_ard_3-1-0_106083_2020-04-06_final
2020-04-06 10:58:50	ga_ls8c_ard_3-1-0_106084_2020-04-06_final
2020-04-11 11:10:34	ga_ls8c_ard_3-1-0_109067_2020-04-11_final
2020-04-11 11:10:57	ga_ls8c_ard_3-1-0_109068_2020-04-11_final
2020-04-11 11:11:21	ga_ls8c_ard_3-1-0_109069_2020-04-11_final
2020-04-11 11:11:45	ga_ls8c_ard_3-1-0_109070_2020-04-11_final
2020-04-11 11:12:09	ga_ls8c_ard_3-1-0_109071_2020-04-11_final
2020-04-11 11:12:33	ga_ls8c_ard_3-1-0_109072_2020-04-11_final
2021-01-26 11:01:54	ga_ls8c_ard_3-2-0_107075_2021-01-26_final
2021-01-26 11:02:18	ga_ls8c_ard_3-2-0_107076_2021-01-26_final
2021-01-26 11:02:42	ga_ls8c_ard_3-2-0_107077_2021-01-26_final
2021-01-26 11:03:06	ga_ls8c_ard_3-2-0_107078_2021-01-26_final
2021-01-26 11:03:30	ga_ls8c_ard_3-2-0_107079_2021-01-26_final
2021-01-26 11:03:54	ga_ls8c_ard_3-2-0_107080_2021-01-26_final
2021-01-26 11:04:18	ga_ls8c_ard_3-2-0_107081_2021-01-26_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
2021-02-18 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
2021-02-20 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
2021-03-04 11:17:04	ga_ls8c_ard_3-2-0_110067_2021-03-04_final
2022-06-15 10:57:21	ga_ls8c_ard_3-2-1_106079_2022-06-15_final
2022-06-15 10:57:45	ga_ls8c_ard_3-2-1_106080_2022-06-15_final
2022-06-15 10:58:09	ga_ls8c_ard_3-2-1_106081_2022-06-15_final
2022-06-15 10:58:33	ga_ls8c_ard_3-2-1_106082_2022-06-15_final
2022-06-15 10:58:57	ga_ls8c_ard_3-2-1_106083_2022-06-15_final
2022-07-22 11:12:02	ga_ls8c_ard_3-2-1_109069_2022-07-22_final
2022-07-22 11:12:26	ga_ls8c_ard_3-2-1_109070_2022-07-22_final
2022-07-22 11:12:50	ga_ls8c_ard_3-2-1_109071_2022-07-22_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years