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
2013-11-28 10:13:56	ga_ls8c_ard_3-0-0_099075_2013-11-28_final
2013-11-28 10:14:20	ga_ls8c_ard_3-0-0_099076_2013-11-28_final
2013-11-28 10:14:44	ga_ls8c_ard_3-0-0_099077_2013-11-28_final
2013-11-28 10:15:08	ga_ls8c_ard_3-0-0_099078_2013-11-28_final
2013-11-30 10:03:58	ga_ls8c_ard_3-0-0_097081_2013-11-30_final
2013-11-30 10:04:22	ga_ls8c_ard_3-0-0_097082_2013-11-30_final
2013-11-30 10:04:46	ga_ls8c_ard_3-0-0_097083_2013-11-30_final
2013-11-30 10:05:10	ga_ls8c_ard_3-0-0_097084_2013-11-30_final
2013-11-30 10:05:34	ga_ls8c_ard_3-0-0_097085_2013-11-30_final
2014-03-11 10:18:15	ga_ls8c_ard_3-0-0_100073_2014-03-11_final
2014-03-13 10:07:28	ga_ls8c_ard_3-0-0_098077_2014-03-13_final
2014-03-13 10:07:52	ga_ls8c_ard_3-0-0_098078_2014-03-13_final
2014-03-13 10:08:16	ga_ls8c_ard_3-0-0_098079_2014-03-13_final
2014-03-13 10:08:40	ga_ls8c_ard_3-0-0_098080_2014-03-13_final
2014-03-13 10:09:04	ga_ls8c_ard_3-0-0_098081_2014-03-13_final
2014-03-13 10:09:28	ga_ls8c_ard_3-0-0_098082_2014-03-13_final
2014-06-10 10:02:02	ga_ls8c_ard_3-0-0_097081_2014-06-10_final
2014-06-10 10:02:26	ga_ls8c_ard_3-0-0_097082_2014-06-10_final
2014-06-10 10:02:50	ga_ls8c_ard_3-0-0_097083_2014-06-10_final
2014-06-10 10:03:14	ga_ls8c_ard_3-0-0_097084_2014-06-10_final
2014-06-10 10:03:38	ga_ls8c_ard_3-0-0_097085_2014-06-10_final
2016-10-21 10:02:42	ga_ls8c_ard_3-0-0_097081_2016-10-21_final
2016-10-21 10:03:06	ga_ls8c_ard_3-0-0_097082_2016-10-21_final
2016-10-21 10:03:30	ga_ls8c_ard_3-0-0_097083_2016-10-21_final
2016-10-21 10:03:54	ga_ls8c_ard_3-0-0_097084_2016-10-21_final
2016-10-21 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-10-21_final
2016-10-21 10:04:42	ga_ls8c_ard_3-0-0_097086_2016-10-21_final
2016-10-23 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-10-23_final
2016-10-28 10:07:17	ga_ls8c_ard_3-0-0_098077_2016-10-28_final
2016-10-28 10:07:41	ga_ls8c_ard_3-0-0_098078_2016-10-28_final
2016-10-28 10:08:05	ga_ls8c_ard_3-0-0_098079_2016-10-28_final
2016-10-28 10:08:29	ga_ls8c_ard_3-0-0_098080_2016-10-28_final
2016-10-28 10:08:53	ga_ls8c_ard_3-0-0_098081_2016-10-28_final
2016-10-28 10:09:17	ga_ls8c_ard_3-0-0_098082_2016-10-28_final
2016-10-30 09:57:43	ga_ls8c_ard_3-0-0_096084_2016-10-30_final
2016-10-30 09:58:07	ga_ls8c_ard_3-0-0_096085_2016-10-30_final
2016-10-30 09:58:31	ga_ls8c_ard_3-0-0_096086_2016-10-30_final
2016-10-30 09:58:55	ga_ls8c_ard_3-0-0_096087_2016-10-30_final
2016-12-24 10:02:35	ga_ls8c_ard_3-0-0_097081_2016-12-24_final
2016-12-24 10:02:59	ga_ls8c_ard_3-0-0_097082_2016-12-24_final
2016-12-24 10:03:23	ga_ls8c_ard_3-0-0_097083_2016-12-24_final
2016-12-24 10:03:47	ga_ls8c_ard_3-0-0_097084_2016-12-24_final
2016-12-24 10:04:11	ga_ls8c_ard_3-0-0_097085_2016-12-24_final
2016-12-24 10:04:35	ga_ls8c_ard_3-0-0_097086_2016-12-24_final
2016-12-26 09:53:01	ga_ls8c_ard_3-0-0_095088_2016-12-26_final
2017-03-07 09:57:35	ga_ls8c_ard_3-0-0_096085_2017-03-07_final
2017-03-07 09:57:58	ga_ls8c_ard_3-0-0_096086_2017-03-07_final
2017-03-07 09:58:22	ga_ls8c_ard_3-0-0_096087_2017-03-07_final
2020-06-01 10:06:26	ga_ls8c_ard_3-1-0_098077_2020-06-01_final
2020-06-01 10:06:50	ga_ls8c_ard_3-1-0_098078_2020-06-01_final
2020-06-01 10:07:14	ga_ls8c_ard_3-1-0_098079_2020-06-01_final
2020-06-01 10:07:38	ga_ls8c_ard_3-1-0_098080_2020-06-01_final
2020-06-01 10:08:02	ga_ls8c_ard_3-1-0_098081_2020-06-01_final
2020-06-01 10:08:26	ga_ls8c_ard_3-1-0_098082_2020-06-01_final
2020-06-03 09:57:18	ga_ls8c_ard_3-1-0_096085_2020-06-03_final
2020-06-03 09:57:41	ga_ls8c_ard_3-1-0_096086_2020-06-03_final
2020-06-03 09:58:05	ga_ls8c_ard_3-1-0_096087_2020-06-03_final
2020-06-17 10:06:36	ga_ls8c_ard_3-1-0_098077_2020-06-17_final
2020-06-17 10:07:00	ga_ls8c_ard_3-1-0_098078_2020-06-17_final
2020-06-17 10:07:24	ga_ls8c_ard_3-1-0_098079_2020-06-17_final
2020-06-17 10:07:48	ga_ls8c_ard_3-1-0_098080_2020-06-17_final
2020-06-17 10:08:12	ga_ls8c_ard_3-1-0_098081_2020-06-17_final
2020-06-17 10:08:36	ga_ls8c_ard_3-1-0_098082_2020-06-17_final
2020-06-19 09:57:03	ga_ls8c_ard_3-1-0_096084_2020-06-19_final
2020-06-19 09:57:27	ga_ls8c_ard_3-1-0_096085_2020-06-19_final
2020-06-19 09:57:51	ga_ls8c_ard_3-1-0_096086_2020-06-19_final
2020-06-19 09:58:15	ga_ls8c_ard_3-1-0_096087_2020-06-19_final
2020-07-24 10:21:24	ga_ls8c_ard_3-1-0_101067_2020-07-24_final
2020-07-24 10:21:48	ga_ls8c_ard_3-1-0_101068_2020-07-24_final
2020-08-02 10:15:16	ga_ls8c_ard_3-1-0_100067_2020-08-02_final
2020-08-02 10:15:40	ga_ls8c_ard_3-1-0_100068_2020-08-02_final
2020-08-02 10:16:03	ga_ls8c_ard_3-1-0_100069_2020-08-02_final
2020-08-02 10:16:27	ga_ls8c_ard_3-1-0_100070_2020-08-02_final
2020-08-02 10:16:51	ga_ls8c_ard_3-1-0_100071_2020-08-02_final
2020-08-02 10:17:15	ga_ls8c_ard_3-1-0_100072_2020-08-02_final
2020-08-02 10:17:39	ga_ls8c_ard_3-1-0_100073_2020-08-02_final
2020-08-09 10:21:28	ga_ls8c_ard_3-1-0_101067_2020-08-09_final
2020-08-09 10:21:52	ga_ls8c_ard_3-1-0_101068_2020-08-09_final
2020-08-11 10:11:06	ga_ls8c_ard_3-1-0_099072_2020-08-11_final
2020-08-11 10:11:30	ga_ls8c_ard_3-1-0_099073_2020-08-11_final
2020-08-11 10:11:54	ga_ls8c_ard_3-1-0_099074_2020-08-11_final
2020-08-11 10:12:18	ga_ls8c_ard_3-1-0_099075_2020-08-11_final
2020-08-11 10:12:42	ga_ls8c_ard_3-1-0_099076_2020-08-11_final
2020-08-11 10:13:06	ga_ls8c_ard_3-1-0_099077_2020-08-11_final
2020-08-11 10:13:30	ga_ls8c_ard_3-1-0_099078_2020-08-11_final
2020-08-13 10:02:21	ga_ls8c_ard_3-1-0_097081_2020-08-13_final
2020-08-13 10:02:45	ga_ls8c_ard_3-1-0_097082_2020-08-13_final
2020-08-13 10:03:09	ga_ls8c_ard_3-1-0_097083_2020-08-13_final
2020-08-13 10:03:32	ga_ls8c_ard_3-1-0_097084_2020-08-13_final
2020-08-13 10:03:56	ga_ls8c_ard_3-1-0_097085_2020-08-13_final
2020-08-13 10:04:20	ga_ls8c_ard_3-1-0_097086_2020-08-13_final
2020-08-22 09:57:51	ga_ls8c_ard_3-1-0_096085_2020-08-22_final
2020-08-22 09:58:15	ga_ls8c_ard_3-1-0_096086_2020-08-22_final
2020-08-22 09:58:39	ga_ls8c_ard_3-1-0_096087_2020-08-22_final
2020-08-27 10:11:14	ga_ls8c_ard_3-1-0_099072_2020-08-27_final
2020-08-27 10:11:38	ga_ls8c_ard_3-1-0_099073_2020-08-27_final
2020-08-27 10:12:02	ga_ls8c_ard_3-1-0_099074_2020-08-27_final
2020-08-27 10:12:26	ga_ls8c_ard_3-1-0_099075_2020-08-27_final
2020-08-27 10:12:50	ga_ls8c_ard_3-1-0_099076_2020-08-27_final
2020-08-27 10:13:14	ga_ls8c_ard_3-1-0_099077_2020-08-27_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