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
2016-11-24 08:18:14	ga_ls8c_ard_3-2-1_079098_2016-11-23_final
2016-11-27 08:42:45	ga_ls8c_ard_3-2-1_084082_2016-11-26_final
2016-12-01 08:24:25	ga_ls8c_ard_3-2-1_080098_2016-11-30_final
2016-12-10 08:18:12	ga_ls8c_ard_3-2-1_079098_2016-12-09_final
2016-12-13 08:42:42	ga_ls8c_ard_3-2-1_084082_2016-12-12_final
2016-12-17 08:24:20	ga_ls8c_ard_3-2-1_080098_2016-12-16_final
2016-12-20 08:48:50	ga_ls8c_ard_3-2-1_085082_2016-12-19_final
2016-12-26 08:18:08	ga_ls8c_ard_3-2-1_079098_2016-12-25_final
2016-12-29 08:42:39	ga_ls8c_ard_3-2-1_084082_2016-12-28_final
2017-11-02 08:24:23	ga_ls8c_ard_3-2-1_080098_2017-11-01_final
2018-01-01 08:42:34	ga_ls8c_ard_3-2-1_084082_2017-12-31_final
2018-09-18 08:23:43	ga_ls8c_ard_3-2-1_080098_2018-09-17_final
2018-09-21 08:48:14	ga_ls8c_ard_3-2-1_085082_2018-09-20_final
2018-09-30 08:42:08	ga_ls8c_ard_3-2-1_084082_2018-09-29_final
2018-10-20 08:23:57	ga_ls8c_ard_3-2-1_080098_2018-10-19_final
2018-11-08 08:48:31	ga_ls8c_ard_3-2-1_085082_2018-11-07_final
2018-11-21 08:24:01	ga_ls8c_ard_3-2-1_080098_2018-11-20_final
2018-11-24 08:48:31	ga_ls8c_ard_3-2-1_085082_2018-11-23_final
2018-11-30 08:17:49	ga_ls8c_ard_3-2-1_079098_2018-11-29_final
2018-12-03 08:42:19	ga_ls8c_ard_3-2-1_084082_2018-12-02_final
2018-12-07 08:23:59	ga_ls8c_ard_3-2-1_080098_2018-12-06_final
2018-12-16 08:17:46	ga_ls8c_ard_3-2-1_079098_2018-12-15_final
2018-12-19 08:42:17	ga_ls8c_ard_3-2-1_084082_2018-12-18_final
2018-12-26 08:48:28	ga_ls8c_ard_3-2-1_085082_2018-12-25_final
2019-09-30 08:18:15	ga_ls8c_ard_3-2-1_079098_2019-09-29_final
2019-10-03 08:42:46	ga_ls8c_ard_3-2-1_084082_2019-10-02_final
2019-10-07 08:24:27	ga_ls8c_ard_3-2-1_080098_2019-10-06_final
2019-10-10 08:48:58	ga_ls8c_ard_3-2-1_085082_2019-10-09_final
2019-10-16 08:18:18	ga_ls8c_ard_3-2-1_079098_2019-10-15_final
2019-10-19 08:42:48	ga_ls8c_ard_3-2-1_084082_2019-10-18_final
2019-10-23 08:24:29	ga_ls8c_ard_3-2-1_080098_2019-10-22_final
2019-10-26 08:48:59	ga_ls8c_ard_3-2-1_085082_2019-10-25_final
2019-11-08 08:24:27	ga_ls8c_ard_3-2-1_080098_2019-11-07_final
2019-11-11 08:48:57	ga_ls8c_ard_3-2-1_085082_2019-11-10_final
2019-11-24 08:24:24	ga_ls8c_ard_3-2-1_080098_2019-11-23_final
2019-11-27 08:48:55	ga_ls8c_ard_3-2-1_085082_2019-11-26_final
2019-12-29 08:48:50	ga_ls8c_ard_3-2-1_085082_2019-12-28_final
2020-01-11 08:24:16	ga_ls8c_ard_3-2-1_080098_2020-01-10_final
2020-01-14 08:48:46	ga_ls8c_ard_3-2-1_085082_2020-01-13_final
2020-01-27 08:24:12	ga_ls8c_ard_3-2-1_080098_2020-01-26_final
2020-01-30 08:48:42	ga_ls8c_ard_3-2-1_085082_2020-01-29_final
2020-10-02 08:18:13	ga_ls8c_ard_3-2-1_079098_2020-10-01_final
2020-10-05 08:42:44	ga_ls8c_ard_3-2-1_084082_2020-10-04_final
2020-10-09 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-10-08_final
2020-10-18 08:18:14	ga_ls8c_ard_3-2-1_079098_2020-10-17_final
2020-10-21 08:42:45	ga_ls8c_ard_3-2-1_084082_2020-10-20_final
2020-10-25 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-10-24_final
2020-10-28 08:48:55	ga_ls8c_ard_3-2-1_085082_2020-10-27_final
2020-11-10 08:24:22	ga_ls8c_ard_3-2-1_080098_2020-11-09_final
2020-11-19 08:18:12	ga_ls8c_ard_3-2-1_079098_2020-11-18_final
2020-11-22 08:42:44	ga_ls8c_ard_3-2-1_084082_2020-11-21_final
2020-11-26 08:24:25	ga_ls8c_ard_3-2-1_080098_2020-11-25_final
2020-11-29 08:48:56	ga_ls8c_ard_3-2-1_085082_2020-11-28_final
2020-12-05 08:18:15	ga_ls8c_ard_3-2-1_079098_2020-12-04_final
2020-12-08 08:42:46	ga_ls8c_ard_3-2-1_084082_2020-12-07_final
2020-12-12 08:24:26	ga_ls8c_ard_3-2-1_080098_2020-12-11_final
2020-12-15 08:48:56	ga_ls8c_ard_3-2-1_085082_2020-12-14_final
2020-12-21 08:18:14	ga_ls8c_ard_3-2-1_079098_2020-12-20_final
2020-12-24 08:42:44	ga_ls8c_ard_3-2-1_084082_2020-12-23_final
2020-12-28 08:24:23	ga_ls8c_ard_3-2-1_080098_2020-12-27_final
2020-12-31 08:48:53	ga_ls8c_ard_3-2-1_085082_2020-12-30_final
2021-01-06 08:18:09	ga_ls8c_ard_3-2-1_079098_2021-01-05_final
2021-01-13 08:24:16	ga_ls8c_ard_3-2-1_080098_2021-01-12_final
2021-01-22 08:18:03	ga_ls8c_ard_3-2-1_079098_2021-01-21_final
2021-01-29 08:24:13	ga_ls8c_ard_3-2-1_080098_2021-01-28_final
2021-02-01 08:48:43	ga_ls8c_ard_3-2-1_085082_2021-01-31_final
2021-02-07 08:18:01	ga_ls8c_ard_3-2-1_079098_2021-02-06_final
2021-02-10 08:42:31	ga_ls8c_ard_3-2-1_084082_2021-02-09_final
2021-02-14 08:24:10	ga_ls8c_ard_3-2-1_080098_2021-02-13_final
2021-02-17 08:48:40	ga_ls8c_ard_3-2-1_085082_2021-02-16_final
2021-02-23 08:17:56	ga_ls8c_ard_3-2-1_079098_2021-02-22_final
2021-03-02 08:24:03	ga_ls8c_ard_3-2-1_080098_2021-03-01_final
2021-03-05 08:48:33	ga_ls8c_ard_3-2-1_085082_2021-03-04_final
2021-03-11 08:17:48	ga_ls8c_ard_3-2-1_079098_2021-03-10_final
2021-03-18 08:23:54	ga_ls8c_ard_3-2-1_080098_2021-03-17_final
2021-03-27 08:17:42	ga_ls8c_ard_3-2-1_079098_2021-03-26_final
2021-04-03 08:23:51	ga_ls8c_ard_3-2-1_080098_2021-04-02_final
2021-04-12 08:17:37	ga_ls8c_ard_3-2-1_079098_2021-04-11_final
2021-04-15 08:42:06	ga_ls8c_ard_3-2-1_084082_2021-04-14_final
2021-04-19 08:23:44	ga_ls8c_ard_3-2-1_080098_2021-04-18_final
2021-04-22 08:48:14	ga_ls8c_ard_3-2-1_085082_2021-04-21_final
2021-04-28 08:17:29	ga_ls8c_ard_3-2-1_079098_2021-04-27_final
2021-05-01 08:41:57	ga_ls8c_ard_3-2-1_084082_2021-04-30_final
2021-05-05 08:23:35	ga_ls8c_ard_3-2-1_080098_2021-05-04_final
2021-05-08 08:48:05	ga_ls8c_ard_3-2-1_085082_2021-05-07_final
2021-05-14 08:17:28	ga_ls8c_ard_3-2-1_079098_2021-05-13_final
2021-05-17 08:42:01	ga_ls8c_ard_3-2-1_084082_2021-05-16_final
2021-05-21 08:23:44	ga_ls8c_ard_3-2-1_080098_2021-05-20_final
2021-05-24 08:48:16	ga_ls8c_ard_3-2-1_085082_2021-05-23_final
2021-05-30 08:17:38	ga_ls8c_ard_3-2-1_079098_2021-05-29_final
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2021-06-06 08:23:52	ga_ls8c_ard_3-2-1_080098_2021-06-05_final
2021-06-09 08:48:24	ga_ls8c_ard_3-2-1_085082_2021-06-08_final
2021-06-18 08:42:16	ga_ls8c_ard_3-2-1_084082_2021-06-17_final
2021-06-25 08:48:28	ga_ls8c_ard_3-2-1_085082_2021-06-24_final
2021-07-04 08:42:19	ga_ls8c_ard_3-2-1_084082_2021-07-03_final
2021-07-11 08:48:30	ga_ls8c_ard_3-2-1_085082_2021-07-10_final
2021-07-20 08:42:22	ga_ls8c_ard_3-2-1_084082_2021-07-19_final
2021-07-27 08:48:36	ga_ls8c_ard_3-2-1_085082_2021-07-26_final
2023-02-04 08:24:28	ga_ls8c_ard_3-2-1_080098_2023-02-03_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