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
2013-04-25 10:18:40	ga_ls8c_ard_3-0-0_100071_2013-04-25_final
2013-04-25 10:19:04	ga_ls8c_ard_3-0-0_100072_2013-04-25_final
2013-04-25 10:19:28	ga_ls8c_ard_3-0-0_100073_2013-04-25_final
2013-04-25 10:19:52	ga_ls8c_ard_3-0-0_100074_2013-04-25_final
2013-04-25 10:20:16	ga_ls8c_ard_3-0-0_100075_2013-04-25_final
2013-04-27 10:09:29	ga_ls8c_ard_3-0-0_098079_2013-04-27_final
2013-04-27 10:09:53	ga_ls8c_ard_3-0-0_098080_2013-04-27_final
2013-04-27 10:10:17	ga_ls8c_ard_3-0-0_098081_2013-04-27_final
2013-04-27 10:10:41	ga_ls8c_ard_3-0-0_098082_2013-04-27_final
2013-04-27 10:11:05	ga_ls8c_ard_3-0-0_098083_2013-04-27_final
2013-04-27 10:11:29	ga_ls8c_ard_3-0-0_098084_2013-04-27_final
2013-04-29 09:59:56	ga_ls8c_ard_3-0-0_096086_2013-04-29_final
2013-05-02 10:24:29	ga_ls8c_ard_3-0-0_101070_2013-05-02_final
2013-05-02 10:24:53	ga_ls8c_ard_3-0-0_101071_2013-05-02_final
2013-05-22 10:05:11	ga_ls8c_ard_3-0-0_097083_2013-05-22_final
2013-05-22 10:05:35	ga_ls8c_ard_3-0-0_097084_2013-05-22_final
2013-07-02 10:00:09	ga_ls8c_ard_3-0-0_096086_2013-07-02_final
2013-07-05 10:25:04	ga_ls8c_ard_3-0-0_101071_2013-07-05_final
2013-08-26 10:05:36	ga_ls8c_ard_3-0-0_097084_2013-08-26_final
2013-08-26 10:06:00	ga_ls8c_ard_3-0-0_097085_2013-08-26_final
2014-08-18 10:16:59	ga_ls8c_ard_3-0-0_100071_2014-08-18_final
2014-08-18 10:17:23	ga_ls8c_ard_3-0-0_100072_2014-08-18_final
2014-08-18 10:17:46	ga_ls8c_ard_3-0-0_100073_2014-08-18_final
2014-08-18 10:18:10	ga_ls8c_ard_3-0-0_100074_2014-08-18_final
2014-08-18 10:18:34	ga_ls8c_ard_3-0-0_100075_2014-08-18_final
2014-08-20 10:07:49	ga_ls8c_ard_3-0-0_098079_2014-08-20_final
2014-08-20 10:08:13	ga_ls8c_ard_3-0-0_098080_2014-08-20_final
2014-08-20 10:08:37	ga_ls8c_ard_3-0-0_098081_2014-08-20_final
2014-08-20 10:09:01	ga_ls8c_ard_3-0-0_098082_2014-08-20_final
2014-08-20 10:09:25	ga_ls8c_ard_3-0-0_098083_2014-08-20_final
2014-08-20 10:09:48	ga_ls8c_ard_3-0-0_098084_2014-08-20_final
2014-08-22 09:58:15	ga_ls8c_ard_3-0-0_096086_2014-08-22_final
2014-08-25 10:22:46	ga_ls8c_ard_3-0-0_101070_2014-08-25_final
2014-08-25 10:23:10	ga_ls8c_ard_3-0-0_101071_2014-08-25_final
2014-09-21 10:07:51	ga_ls8c_ard_3-0-0_098079_2014-09-21_final
2014-09-21 10:08:15	ga_ls8c_ard_3-0-0_098080_2014-09-21_final
2014-09-21 10:08:39	ga_ls8c_ard_3-0-0_098081_2014-09-21_final
2014-09-21 10:09:03	ga_ls8c_ard_3-0-0_098082_2014-09-21_final
2014-10-25 09:58:23	ga_ls8c_ard_3-0-0_096086_2014-10-25_final
2014-10-28 10:22:52	ga_ls8c_ard_3-0-0_101070_2014-10-28_final
2014-10-28 10:23:16	ga_ls8c_ard_3-0-0_101071_2014-10-28_final
2014-10-30 10:12:04	ga_ls8c_ard_3-0-0_099074_2014-10-30_final
2014-10-30 10:12:28	ga_ls8c_ard_3-0-0_099075_2014-10-30_final
2014-10-30 10:12:52	ga_ls8c_ard_3-0-0_099076_2014-10-30_final
2014-10-30 10:13:16	ga_ls8c_ard_3-0-0_099077_2014-10-30_final
2014-10-30 10:13:40	ga_ls8c_ard_3-0-0_099078_2014-10-30_final
2014-10-30 10:14:04	ga_ls8c_ard_3-0-0_099079_2014-10-30_final
2014-10-30 10:14:28	ga_ls8c_ard_3-0-0_099080_2014-10-30_final
2014-11-01 10:03:20	ga_ls8c_ard_3-0-0_097083_2014-11-01_final
2014-11-01 10:03:44	ga_ls8c_ard_3-0-0_097084_2014-11-01_final
2014-11-01 10:04:08	ga_ls8c_ard_3-0-0_097085_2014-11-01_final
2015-01-16 10:22:43	ga_ls8c_ard_3-0-0_101070_2015-01-16_final
2015-01-16 10:23:06	ga_ls8c_ard_3-0-0_101071_2015-01-16_final
2015-02-17 10:22:30	ga_ls8c_ard_3-0-0_101070_2015-02-17_final
2015-02-17 10:22:54	ga_ls8c_ard_3-0-0_101071_2015-02-17_final
2015-02-19 10:11:44	ga_ls8c_ard_3-0-0_099074_2015-02-19_final
2015-02-19 10:12:08	ga_ls8c_ard_3-0-0_099075_2015-02-19_final
2015-02-19 10:12:32	ga_ls8c_ard_3-0-0_099076_2015-02-19_final
2015-02-19 10:12:56	ga_ls8c_ard_3-0-0_099077_2015-02-19_final
2015-02-19 10:13:20	ga_ls8c_ard_3-0-0_099078_2015-02-19_final
2015-02-19 10:13:44	ga_ls8c_ard_3-0-0_099079_2015-02-19_final
2015-02-19 10:14:08	ga_ls8c_ard_3-0-0_099080_2015-02-19_final
2015-03-21 10:21:03	ga_ls8c_ard_3-0-0_101067_2015-03-21_final
2015-03-21 10:21:27	ga_ls8c_ard_3-0-0_101068_2015-03-21_final
2015-03-21 10:21:51	ga_ls8c_ard_3-0-0_101069_2015-03-21_final
2015-03-21 10:22:15	ga_ls8c_ard_3-0-0_101070_2015-03-21_final
2015-03-21 10:22:39	ga_ls8c_ard_3-0-0_101071_2015-03-21_final
2015-04-06 10:20:52	ga_ls8c_ard_3-0-0_101067_2015-04-06_final
2015-04-06 10:21:16	ga_ls8c_ard_3-0-0_101068_2015-04-06_final
2015-04-06 10:21:40	ga_ls8c_ard_3-0-0_101069_2015-04-06_final
2015-04-06 10:22:04	ga_ls8c_ard_3-0-0_101070_2015-04-06_final
2015-04-06 10:22:28	ga_ls8c_ard_3-0-0_101071_2015-04-06_final
2017-07-09 10:16:18	ga_ls8c_ard_3-0-0_100070_2017-07-09_final
2017-07-09 10:16:42	ga_ls8c_ard_3-0-0_100071_2017-07-09_final
2017-07-09 10:17:06	ga_ls8c_ard_3-0-0_100072_2017-07-09_final
2017-07-09 10:17:30	ga_ls8c_ard_3-0-0_100073_2017-07-09_final
2017-07-09 10:17:54	ga_ls8c_ard_3-0-0_100074_2017-07-09_final
2017-07-09 10:18:18	ga_ls8c_ard_3-0-0_100075_2017-07-09_final
2017-07-16 10:21:19	ga_ls8c_ard_3-0-0_101067_2017-07-16_final
2017-07-16 10:21:43	ga_ls8c_ard_3-0-0_101068_2017-07-16_final
2017-07-16 10:22:07	ga_ls8c_ard_3-0-0_101069_2017-07-16_final
2017-07-16 10:22:31	ga_ls8c_ard_3-0-0_101070_2017-07-16_final
2017-07-16 10:22:55	ga_ls8c_ard_3-0-0_101071_2017-07-16_final
2023-02-02 10:08:07	ga_ls8c_ard_3-2-1_098079_2023-02-02_final
2023-02-02 10:08:31	ga_ls8c_ard_3-2-1_098080_2023-02-02_final
2023-02-02 10:08:55	ga_ls8c_ard_3-2-1_098081_2023-02-02_final
2023-02-02 10:09:19	ga_ls8c_ard_3-2-1_098082_2023-02-02_final
2023-02-02 10:09:43	ga_ls8c_ard_3-2-1_098083_2023-02-02_final
2023-02-02 10:10:07	ga_ls8c_ard_3-2-1_098084_2023-02-02_final
2023-03-20 10:16:48	ga_ls8c_ard_3-2-1_100071_2023-03-20_final
2023-03-20 10:17:12	ga_ls8c_ard_3-2-1_100072_2023-03-20_final
2023-03-20 10:17:36	ga_ls8c_ard_3-2-1_100073_2023-03-20_final
2023-03-20 10:18:00	ga_ls8c_ard_3-2-1_100074_2023-03-20_final
2023-03-20 10:18:24	ga_ls8c_ard_3-2-1_100075_2023-03-20_final
2023-03-22 10:07:36	ga_ls8c_ard_3-2-1_098079_2023-03-22_final
2023-03-22 10:08:00	ga_ls8c_ard_3-2-1_098080_2023-03-22_final
2023-03-22 10:08:24	ga_ls8c_ard_3-2-1_098081_2023-03-22_final
2023-03-22 10:08:48	ga_ls8c_ard_3-2-1_098082_2023-03-22_final
2023-03-22 10:09:12	ga_ls8c_ard_3-2-1_098083_2023-03-22_final
2023-03-22 10:09:36	ga_ls8c_ard_3-2-1_098084_2023-03-22_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years