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
2016-02-09 10:44:01	ga_ls8c_ard_3-1-0_104077_2016-02-09_final
2016-02-09 10:44:25	ga_ls8c_ard_3-0-0_104078_2016-02-09_final
2016-02-09 10:44:49	ga_ls8c_ard_3-0-0_104079_2016-02-09_final
2016-02-09 10:45:13	ga_ls8c_ard_3-0-0_104080_2016-02-09_final
2016-02-09 10:45:37	ga_ls8c_ard_3-0-0_104081_2016-02-09_final
2016-02-09 10:46:01	ga_ls8c_ard_3-0-0_104082_2016-02-09_final
2016-04-13 10:43:37	ga_ls8c_ard_3-1-0_104077_2016-04-13_final
2016-04-13 10:44:01	ga_ls8c_ard_3-0-0_104078_2016-04-13_final
2016-04-13 10:44:25	ga_ls8c_ard_3-0-0_104079_2016-04-13_final
2016-04-13 10:44:49	ga_ls8c_ard_3-0-0_104080_2016-04-13_final
2016-04-13 10:45:13	ga_ls8c_ard_3-0-0_104081_2016-04-13_final
2016-04-13 10:45:37	ga_ls8c_ard_3-0-0_104082_2016-04-13_final
2016-04-27 10:51:56	ga_ls8c_ard_3-0-0_106067_2016-04-27_final
2016-04-27 10:52:20	ga_ls8c_ard_3-0-0_106068_2016-04-27_final
2016-04-27 10:52:44	ga_ls8c_ard_3-0-0_106069_2016-04-27_final
2016-04-27 10:53:08	ga_ls8c_ard_3-0-0_106070_2016-04-27_final
2016-04-27 10:53:32	ga_ls8c_ard_3-0-0_106071_2016-04-27_final
2016-04-27 10:53:56	ga_ls8c_ard_3-0-0_106072_2016-04-27_final
2016-04-27 10:54:19	ga_ls8c_ard_3-0-0_106073_2016-04-27_final
2017-08-31 10:39:32	ga_ls8c_ard_3-0-0_103081_2017-08-31_final
2017-08-31 10:39:56	ga_ls8c_ard_3-0-0_103082_2017-08-31_final
2017-08-31 10:40:20	ga_ls8c_ard_3-0-0_103083_2017-08-31_final
2017-09-12 10:58:41	ga_ls8c_ard_3-0-0_107067_2017-09-12_final
2017-09-12 10:59:05	ga_ls8c_ard_3-0-0_107068_2017-09-12_final
2017-10-23 10:52:42	ga_ls8c_ard_3-0-0_106067_2017-10-23_final
2017-10-23 10:53:06	ga_ls8c_ard_3-0-0_106068_2017-10-23_final
2017-10-23 10:53:30	ga_ls8c_ard_3-0-0_106069_2017-10-23_final
2017-10-23 10:53:53	ga_ls8c_ard_3-0-0_106070_2017-10-23_final
2017-10-23 10:54:17	ga_ls8c_ard_3-0-0_106071_2017-10-23_final
2017-10-23 10:54:41	ga_ls8c_ard_3-0-0_106072_2017-10-23_final
2017-10-23 10:55:05	ga_ls8c_ard_3-0-0_106073_2017-10-23_final
2017-11-08 10:52:40	ga_ls8c_ard_3-0-0_106067_2017-11-08_final
2017-11-08 10:53:04	ga_ls8c_ard_3-0-0_106068_2017-11-08_final
2017-11-08 10:53:28	ga_ls8c_ard_3-0-0_106069_2017-11-08_final
2017-11-08 10:53:52	ga_ls8c_ard_3-0-0_106070_2017-11-08_final
2017-11-08 10:54:16	ga_ls8c_ard_3-0-0_106071_2017-11-08_final
2017-11-08 10:54:40	ga_ls8c_ard_3-0-0_106072_2017-11-08_final
2017-11-08 10:55:04	ga_ls8c_ard_3-0-0_106073_2017-11-08_final
2017-11-24 10:52:59	ga_ls8c_ard_3-0-0_106068_2017-11-24_final
2017-11-24 10:53:23	ga_ls8c_ard_3-0-0_106069_2017-11-24_final
2017-11-24 10:53:47	ga_ls8c_ard_3-0-0_106070_2017-11-24_final
2017-11-24 10:54:11	ga_ls8c_ard_3-0-0_106071_2017-11-24_final
2017-11-24 10:54:35	ga_ls8c_ard_3-0-0_106072_2017-11-24_final
2017-11-24 10:54:58	ga_ls8c_ard_3-0-0_106073_2017-11-24_final
2017-12-01 10:58:43	ga_ls8c_ard_3-0-0_107067_2017-12-01_final
2017-12-01 10:59:07	ga_ls8c_ard_3-0-0_107068_2017-12-01_final
2017-12-03 10:48:21	ga_ls8c_ard_3-0-0_105072_2017-12-03_final
2017-12-03 10:48:45	ga_ls8c_ard_3-0-0_105073_2017-12-03_final
2017-12-03 10:49:09	ga_ls8c_ard_3-0-0_105074_2017-12-03_final
2017-12-26 10:52:34	ga_ls8c_ard_3-0-0_106067_2017-12-26_final
2017-12-26 10:52:58	ga_ls8c_ard_3-0-0_106068_2017-12-26_final
2017-12-26 10:53:22	ga_ls8c_ard_3-0-0_106069_2017-12-26_final
2017-12-26 10:53:46	ga_ls8c_ard_3-0-0_106070_2017-12-26_final
2017-12-26 10:54:10	ga_ls8c_ard_3-0-0_106071_2017-12-26_final
2017-12-26 10:54:34	ga_ls8c_ard_3-0-0_106072_2017-12-26_final
2017-12-26 10:54:58	ga_ls8c_ard_3-0-0_106073_2017-12-26_final
2020-01-03 10:44:14	ga_ls8c_ard_3-1-0_104077_2020-01-03_final
2020-01-03 10:44:38	ga_ls8c_ard_3-1-0_104078_2020-01-03_final
2020-01-03 10:45:02	ga_ls8c_ard_3-1-0_104079_2020-01-03_final
2020-01-03 10:45:26	ga_ls8c_ard_3-1-0_104080_2020-01-03_final
2020-01-03 10:45:50	ga_ls8c_ard_3-1-0_104081_2020-01-03_final
2020-01-03 10:46:13	ga_ls8c_ard_3-1-0_104082_2020-01-03_final
2020-01-12 10:39:37	ga_ls8c_ard_3-1-0_103081_2020-01-12_final
2020-01-12 10:40:01	ga_ls8c_ard_3-1-0_103082_2020-01-12_final
2020-01-12 10:40:25	ga_ls8c_ard_3-1-0_103083_2020-01-12_final
2020-02-04 10:44:05	ga_ls8c_ard_3-1-0_104077_2020-02-04_final
2020-02-04 10:44:29	ga_ls8c_ard_3-1-0_104078_2020-02-04_final
2020-02-04 10:44:53	ga_ls8c_ard_3-1-0_104079_2020-02-04_final
2020-02-04 10:45:17	ga_ls8c_ard_3-1-0_104080_2020-02-04_final
2020-02-04 10:45:41	ga_ls8c_ard_3-1-0_104081_2020-02-04_final
2020-02-04 10:46:05	ga_ls8c_ard_3-1-0_104082_2020-02-04_final
2020-02-18 10:52:49	ga_ls8c_ard_3-1-0_106068_2020-02-18_final
2020-02-18 10:53:13	ga_ls8c_ard_3-1-0_106069_2020-02-18_final
2020-02-18 10:53:37	ga_ls8c_ard_3-1-0_106070_2020-02-18_final
2020-02-18 10:54:00	ga_ls8c_ard_3-1-0_106071_2020-02-18_final
2020-02-18 10:54:24	ga_ls8c_ard_3-1-0_106072_2020-02-18_final
2020-02-18 10:54:48	ga_ls8c_ard_3-1-0_106073_2020-02-18_final
2020-02-25 10:58:34	ga_ls8c_ard_3-1-0_107067_2020-02-25_final
2020-02-25 10:58:58	ga_ls8c_ard_3-1-0_107068_2020-02-25_final
2020-03-16 10:39:17	ga_ls8c_ard_3-1-0_103081_2020-03-16_final
2020-03-16 10:39:41	ga_ls8c_ard_3-1-0_103082_2020-03-16_final
2020-03-16 10:40:05	ga_ls8c_ard_3-1-0_103083_2020-03-16_final
2020-04-13 10:58:11	ga_ls8c_ard_3-1-0_107067_2020-04-13_final
2020-04-13 10:58:35	ga_ls8c_ard_3-1-0_107068_2020-04-13_final
2020-04-24 10:43:33	ga_ls8c_ard_3-1-0_104077_2020-04-24_final
2020-04-24 10:43:57	ga_ls8c_ard_3-1-0_104078_2020-04-24_final
2020-04-24 10:44:21	ga_ls8c_ard_3-1-0_104079_2020-04-24_final
2020-04-24 10:44:45	ga_ls8c_ard_3-1-0_104080_2020-04-24_final
2020-04-24 10:45:09	ga_ls8c_ard_3-1-0_104081_2020-04-24_final
2020-04-24 10:45:33	ga_ls8c_ard_3-1-0_104082_2020-04-24_final
2020-05-08 10:51:47	ga_ls8c_ard_3-1-0_106067_2020-05-08_final
2020-05-08 10:52:11	ga_ls8c_ard_3-1-0_106068_2020-05-08_final
2020-05-08 10:52:35	ga_ls8c_ard_3-1-0_106069_2020-05-08_final
2020-05-08 10:52:59	ga_ls8c_ard_3-1-0_106070_2020-05-08_final
2020-05-08 10:53:23	ga_ls8c_ard_3-1-0_106071_2020-05-08_final
2020-05-08 10:53:47	ga_ls8c_ard_3-1-0_106072_2020-05-08_final
2020-05-08 10:54:11	ga_ls8c_ard_3-1-0_106073_2020-05-08_final
2020-05-19 10:38:52	ga_ls8c_ard_3-1-0_103081_2020-05-19_final
2020-05-19 10:39:16	ga_ls8c_ard_3-1-0_103082_2020-05-19_final
2020-05-19 10:39:40	ga_ls8c_ard_3-1-0_103083_2020-05-19_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