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
2015-01-04 10:03:59	ga_ls8c_ard_3-0-0_097085_2015-01-04_final
2015-01-07 10:27:43	ga_ls8c_ard_3-0-0_102067_2015-01-07_final
2015-01-07 10:28:07	ga_ls8c_ard_3-0-0_102068_2015-01-07_final
2015-02-12 10:08:22	ga_ls8c_ard_3-0-0_098081_2015-02-12_final
2015-02-12 10:08:46	ga_ls8c_ard_3-0-0_098082_2015-02-12_final
2015-02-12 10:09:10	ga_ls8c_ard_3-0-0_098083_2015-02-12_final
2015-02-12 10:09:34	ga_ls8c_ard_3-0-0_098084_2015-02-12_final
2015-02-12 10:09:58	ga_ls8c_ard_3-0-0_098085_2015-02-12_final
2015-02-24 10:27:28	ga_ls8c_ard_3-0-0_102067_2015-02-24_final
2015-02-24 10:27:52	ga_ls8c_ard_3-0-0_102068_2015-02-24_final
2015-03-09 10:03:37	ga_ls8c_ard_3-0-0_097085_2015-03-09_final
2015-03-09 10:04:01	ga_ls8c_ard_3-0-0_097086_2015-03-09_final
2015-03-12 10:27:17	ga_ls8c_ard_3-0-0_102067_2015-03-12_final
2015-03-12 10:27:41	ga_ls8c_ard_3-0-0_102068_2015-03-12_final
2015-03-25 10:03:29	ga_ls8c_ard_3-0-0_097085_2015-03-25_final
2015-03-28 10:27:09	ga_ls8c_ard_3-0-0_102067_2015-03-28_final
2015-03-28 10:27:33	ga_ls8c_ard_3-0-0_102068_2015-03-28_final
2015-05-10 10:12:11	ga_ls8c_ard_3-0-0_099077_2015-05-10_final
2015-05-10 10:12:35	ga_ls8c_ard_3-0-0_099078_2015-05-10_final
2015-05-10 10:12:59	ga_ls8c_ard_3-0-0_099079_2015-05-10_final
2015-05-10 10:13:23	ga_ls8c_ard_3-0-0_099080_2015-05-10_final
2015-05-10 10:13:47	ga_ls8c_ard_3-0-0_099081_2015-05-10_final
2015-05-10 10:14:11	ga_ls8c_ard_3-0-0_099082_2015-05-10_final
2016-10-19 10:13:28	ga_ls8c_ard_3-0-0_099077_2016-10-19_final
2016-10-19 10:13:51	ga_ls8c_ard_3-0-0_099078_2016-10-19_final
2016-10-19 10:14:15	ga_ls8c_ard_3-0-0_099079_2016-10-19_final
2016-10-19 10:14:39	ga_ls8c_ard_3-0-0_099080_2016-10-19_final
2016-10-19 10:15:03	ga_ls8c_ard_3-0-0_099081_2016-10-19_final
2016-10-19 10:15:27	ga_ls8c_ard_3-0-0_099082_2016-10-19_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
2016-10-28 10:09:41	ga_ls8c_ard_3-0-0_098083_2016-10-28_final
2016-10-28 10:10:05	ga_ls8c_ard_3-0-0_098084_2016-10-28_final
2016-10-28 10:10:29	ga_ls8c_ard_3-0-0_098085_2016-10-28_final
2016-10-28 10:10:53	ga_ls8c_ard_3-0-0_098086_2016-10-28_final
2016-11-20 10:13:28	ga_ls8c_ard_3-0-0_099077_2016-11-20_final
2016-11-20 10:13:51	ga_ls8c_ard_3-0-0_099078_2016-11-20_final
2016-11-20 10:14:15	ga_ls8c_ard_3-0-0_099079_2016-11-20_final
2016-11-20 10:14:39	ga_ls8c_ard_3-0-0_099080_2016-11-20_final
2016-11-20 10:15:03	ga_ls8c_ard_3-0-0_099081_2016-11-20_final
2016-11-20 10:15:27	ga_ls8c_ard_3-0-0_099082_2016-11-20_final
2016-11-22 10:04:18	ga_ls8c_ard_3-0-0_097085_2016-11-22_final
2016-11-22 10:04:42	ga_ls8c_ard_3-0-0_097086_2016-11-22_final
2016-11-29 10:08:52	ga_ls8c_ard_3-0-0_098081_2016-11-29_final
2016-11-29 10:09:16	ga_ls8c_ard_3-0-0_098082_2016-11-29_final
2016-11-29 10:09:40	ga_ls8c_ard_3-0-0_098083_2016-11-29_final
2016-11-29 10:10:04	ga_ls8c_ard_3-0-0_098084_2016-11-29_final
2016-11-29 10:10:28	ga_ls8c_ard_3-0-0_098085_2016-11-29_final
2016-11-29 10:10:52	ga_ls8c_ard_3-0-0_098086_2016-11-29_final
2016-12-08 10:04:16	ga_ls8c_ard_3-0-0_097085_2016-12-08_final
2016-12-08 10:04:40	ga_ls8c_ard_3-0-0_097086_2016-12-08_final
2017-01-21 10:21:37	ga_ls8c_ard_3-0-0_101067_2017-01-21_final
2017-01-21 10:22:01	ga_ls8c_ard_3-0-0_101068_2017-01-21_final
2017-01-21 10:22:25	ga_ls8c_ard_3-0-0_101069_2017-01-21_final
2017-01-21 10:22:49	ga_ls8c_ard_3-0-0_101070_2017-01-21_final
2017-01-21 10:23:13	ga_ls8c_ard_3-0-0_101071_2017-01-21_final
2017-01-21 10:23:37	ga_ls8c_ard_3-0-0_101072_2017-01-21_final
2017-01-21 10:24:01	ga_ls8c_ard_3-0-0_101073_2017-01-21_final
2017-03-05 10:08:21	ga_ls8c_ard_3-0-0_098081_2017-03-05_final
2017-03-05 10:08:45	ga_ls8c_ard_3-0-0_098082_2017-03-05_final
2017-03-05 10:09:09	ga_ls8c_ard_3-0-0_098083_2017-03-05_final
2017-03-05 10:09:33	ga_ls8c_ard_3-0-0_098084_2017-03-05_final
2017-03-05 10:09:57	ga_ls8c_ard_3-0-0_098085_2017-03-05_final
2017-03-05 10:10:21	ga_ls8c_ard_3-0-0_098086_2017-03-05_final
2017-12-23 10:21:41	ga_ls8c_ard_3-0-0_101067_2017-12-23_final
2017-12-23 10:22:05	ga_ls8c_ard_3-0-0_101068_2017-12-23_final
2017-12-23 10:22:29	ga_ls8c_ard_3-0-0_101069_2017-12-23_final
2017-12-23 10:22:53	ga_ls8c_ard_3-0-0_101070_2017-12-23_final
2017-12-23 10:23:17	ga_ls8c_ard_3-0-0_101071_2017-12-23_final
2017-12-23 10:23:41	ga_ls8c_ard_3-1-0_101072_2017-12-23_final
2017-12-23 10:24:05	ga_ls8c_ard_3-0-0_101073_2017-12-23_final
2018-02-20 10:08:19	ga_ls8c_ard_3-0-0_098081_2018-02-20_final
2018-02-20 10:08:43	ga_ls8c_ard_3-0-0_098082_2018-02-20_final
2018-02-20 10:09:06	ga_ls8c_ard_3-0-0_098083_2018-02-20_final
2018-02-20 10:09:30	ga_ls8c_ard_3-0-0_098084_2018-02-20_final
2018-02-20 10:09:54	ga_ls8c_ard_3-0-0_098085_2018-02-20_final
2018-02-20 10:10:18	ga_ls8c_ard_3-0-0_098086_2018-02-20_final
2018-02-25 10:21:38	ga_ls8c_ard_3-0-0_101068_2018-02-25_final
2018-02-25 10:22:01	ga_ls8c_ard_3-0-0_101069_2018-02-25_final
2018-02-25 10:22:25	ga_ls8c_ard_3-0-0_101070_2018-02-25_final
2018-02-25 10:22:49	ga_ls8c_ard_3-0-0_101071_2018-02-25_final
2018-02-25 10:23:13	ga_ls8c_ard_3-1-0_101072_2018-02-25_final
2018-02-25 10:23:37	ga_ls8c_ard_3-0-0_101073_2018-02-25_final
2018-03-31 10:12:35	ga_ls8c_ard_3-0-0_099077_2018-03-31_final
2018-03-31 10:12:58	ga_ls8c_ard_3-0-0_099078_2018-03-31_final
2018-03-31 10:13:22	ga_ls8c_ard_3-0-0_099079_2018-03-31_final
2018-03-31 10:13:46	ga_ls8c_ard_3-0-0_099080_2018-03-31_final
2018-03-31 10:14:10	ga_ls8c_ard_3-0-0_099081_2018-03-31_final
2018-03-31 10:14:34	ga_ls8c_ard_3-0-0_099082_2018-03-31_final
2018-04-02 10:03:23	ga_ls8c_ard_3-0-0_097085_2018-04-02_final
2018-04-02 10:03:47	ga_ls8c_ard_3-0-0_097086_2018-04-02_final
2018-04-05 10:27:05	ga_ls8c_ard_3-0-0_102067_2018-04-05_final
2018-04-05 10:27:29	ga_ls8c_ard_3-0-0_102068_2018-04-05_final
2018-05-07 10:26:47	ga_ls8c_ard_3-0-0_102067_2018-05-07_final
2018-05-07 10:27:11	ga_ls8c_ard_3-0-0_102068_2018-05-07_final
2018-07-19 10:21:05	ga_ls8c_ard_3-0-0_101068_2018-07-19_final
2018-07-19 10:21:29	ga_ls8c_ard_3-0-0_101069_2018-07-19_final
2018-07-19 10:21:53	ga_ls8c_ard_3-0-0_101070_2018-07-19_final
2018-07-19 10:22:17	ga_ls8c_ard_3-0-0_101071_2018-07-19_final
2018-07-19 10:22:41	ga_ls8c_ard_3-0-0_101072_2018-07-19_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