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 11:52:25	ga_ls8c_ard_3-0-0_115074_2013-11-28_final
2014-09-05 11:47:09	ga_ls8c_ard_3-0-0_114080_2014-09-05_final
2014-10-23 11:47:15	ga_ls8c_ard_3-0-0_114080_2014-10-23_final
2014-11-08 11:47:15	ga_ls8c_ard_3-0-0_114080_2014-11-08_final
2014-11-15 11:51:01	ga_ls8c_ard_3-0-0_115074_2014-11-15_final
2014-12-10 11:47:07	ga_ls8c_ard_3-0-0_114080_2014-12-10_final
2014-12-17 11:50:55	ga_ls8c_ard_3-0-0_115074_2014-12-17_final
2015-01-11 11:47:04	ga_ls8c_ard_3-0-0_114080_2015-01-11_final
2015-02-12 11:46:51	ga_ls8c_ard_3-0-0_114080_2015-02-12_final
2015-03-14 11:57:23	ga_ls8c_ard_3-0-0_116076_2015-03-14_final
2015-05-19 11:46:03	ga_ls8c_ard_3-0-0_114080_2015-05-19_final
2015-06-20 11:46:20	ga_ls8c_ard_3-0-0_114080_2015-06-20_final
2015-08-05 11:57:24	ga_ls8c_ard_3-0-0_116076_2015-08-05_final
2015-08-07 11:46:39	ga_ls8c_ard_3-0-0_114080_2015-08-07_final
2015-09-06 11:57:38	ga_ls8c_ard_3-0-0_116076_2015-09-06_final
2015-09-08 11:46:53	ga_ls8c_ard_3-0-0_114080_2015-09-08_final
2015-10-08 11:57:48	ga_ls8c_ard_3-0-0_116076_2015-10-08_final
2015-11-09 11:57:54	ga_ls8c_ard_3-0-0_116076_2015-11-09_final
2015-11-11 11:47:07	ga_ls8c_ard_3-0-0_114080_2015-11-11_final
2015-11-25 11:57:56	ga_ls8c_ard_3-0-0_116076_2015-11-25_final
2015-12-11 11:57:54	ga_ls8c_ard_3-0-0_116076_2015-12-11_final
2015-12-27 11:57:55	ga_ls8c_ard_3-0-0_116076_2015-12-27_final
2016-01-12 11:57:52	ga_ls8c_ard_3-0-0_116076_2016-01-12_final
2016-02-13 11:57:45	ga_ls8c_ard_3-0-0_116076_2016-02-13_final
2016-02-15 11:46:57	ga_ls8c_ard_3-0-0_114080_2016-02-15_final
2016-02-29 11:57:41	ga_ls8c_ard_3-0-0_116076_2016-02-29_final
2016-03-18 11:46:50	ga_ls8c_ard_3-0-0_114080_2016-03-18_final
2016-04-17 11:57:21	ga_ls8c_ard_3-0-0_116076_2016-04-17_final
2016-06-06 11:46:42	ga_ls8c_ard_3-0-0_114080_2016-06-06_final
2016-08-23 11:57:55	ga_ls8c_ard_3-0-0_116076_2016-08-23_final
2016-09-10 11:47:14	ga_ls8c_ard_3-0-0_114080_2016-09-10_final
2016-09-24 11:58:01	ga_ls8c_ard_3-0-0_116076_2016-09-24_final
2016-09-26 11:47:15	ga_ls8c_ard_3-0-0_114080_2016-09-26_final
2016-10-10 11:58:05	ga_ls8c_ard_3-0-0_116076_2016-10-10_final
2016-10-12 11:47:20	ga_ls8c_ard_3-0-0_114080_2016-10-12_final
2016-10-26 11:58:08	ga_ls8c_ard_3-0-0_116076_2016-10-26_final
2016-10-28 11:47:22	ga_ls8c_ard_3-0-0_114080_2016-10-28_final
2016-11-13 11:47:21	ga_ls8c_ard_3-0-0_114080_2016-11-13_final
2016-11-27 11:58:07	ga_ls8c_ard_3-0-0_116076_2016-11-27_final
2016-11-29 11:47:21	ga_ls8c_ard_3-0-0_114080_2016-11-29_final
2016-12-15 11:47:18	ga_ls8c_ard_3-0-0_114080_2016-12-15_final
2016-12-29 11:58:01	ga_ls8c_ard_3-0-0_116076_2016-12-29_final
2016-12-31 11:47:15	ga_ls8c_ard_3-0-0_114080_2016-12-31_final
2017-01-14 11:57:57	ga_ls8c_ard_3-0-0_116076_2017-01-14_final
2017-01-16 11:47:10	ga_ls8c_ard_3-0-0_114080_2017-01-16_final
2017-02-01 11:47:04	ga_ls8c_ard_3-0-0_114080_2017-02-01_final
2017-02-17 11:46:57	ga_ls8c_ard_3-0-0_114080_2017-02-17_final
2017-03-05 11:46:51	ga_ls8c_ard_3-0-0_114080_2017-03-05_final
2017-03-21 11:46:41	ga_ls8c_ard_3-0-0_114080_2017-03-21_final
2017-04-04 11:57:20	ga_ls8c_ard_3-0-0_116076_2017-04-04_final
2017-04-06 11:46:33	ga_ls8c_ard_3-0-0_114080_2017-04-06_final
2017-04-22 11:46:24	ga_ls8c_ard_3-0-0_114080_2017-04-22_final
2017-05-08 11:46:22	ga_ls8c_ard_3-0-0_114080_2017-05-08_final
2017-05-24 11:46:33	ga_ls8c_ard_3-0-0_114080_2017-05-24_final
2017-06-09 11:46:41	ga_ls8c_ard_3-0-0_114080_2017-06-09_final
2017-06-25 11:46:47	ga_ls8c_ard_3-0-0_114080_2017-06-25_final
2017-07-11 11:46:49	ga_ls8c_ard_3-0-0_114080_2017-07-11_final
2017-07-25 11:57:42	ga_ls8c_ard_3-0-0_116076_2017-07-25_final
2017-07-27 11:46:57	ga_ls8c_ard_3-0-0_114080_2017-07-27_final
2017-08-12 11:47:03	ga_ls8c_ard_3-0-0_114080_2017-08-12_final
2017-08-28 11:47:07	ga_ls8c_ard_3-0-0_114080_2017-08-28_final
2017-09-13 11:47:08	ga_ls8c_ard_3-0-0_114080_2017-09-13_final
2017-09-27 11:58:00	ga_ls8c_ard_3-0-0_116076_2017-09-27_final
2017-09-29 11:47:15	ga_ls8c_ard_3-0-0_114080_2017-09-29_final
2017-10-13 11:58:04	ga_ls8c_ard_3-0-0_116076_2017-10-13_final
2017-10-15 11:47:19	ga_ls8c_ard_3-0-0_114080_2017-10-15_final
2017-10-29 11:58:05	ga_ls8c_ard_3-0-0_116076_2017-10-29_final
2017-10-31 11:47:19	ga_ls8c_ard_3-0-0_114080_2017-10-31_final
2017-11-16 11:47:16	ga_ls8c_ard_3-0-0_114080_2017-11-16_final
2017-11-30 11:57:56	ga_ls8c_ard_3-0-0_116076_2017-11-30_final
2017-12-02 11:47:10	ga_ls8c_ard_3-0-0_114080_2017-12-02_final
2017-12-18 11:47:12	ga_ls8c_ard_3-0-0_114080_2017-12-18_final
2018-01-03 11:47:10	ga_ls8c_ard_3-0-0_114080_2018-01-03_final
2018-01-17 11:57:49	ga_ls8c_ard_3-0-0_116076_2018-01-17_final
2018-01-19 11:47:02	ga_ls8c_ard_3-0-0_114080_2018-01-19_final
2018-02-04 11:46:53	ga_ls8c_ard_3-0-0_114080_2018-02-04_final
2018-02-20 11:46:48	ga_ls8c_ard_3-0-0_114080_2018-02-20_final
2018-03-08 11:46:40	ga_ls8c_ard_3-0-0_114080_2018-03-08_final
2018-03-24 11:46:32	ga_ls8c_ard_3-0-0_114080_2018-03-24_final
2018-04-09 11:46:24	ga_ls8c_ard_3-0-0_114080_2018-04-09_final
2018-04-25 11:46:14	ga_ls8c_ard_3-0-0_114080_2018-04-25_final
2018-05-11 11:46:05	ga_ls8c_ard_3-0-0_114080_2018-05-11_final
2018-05-27 11:45:53	ga_ls8c_ard_3-0-0_114080_2018-05-27_final
2018-06-12 11:45:52	ga_ls8c_ard_3-0-0_114080_2018-06-12_final
2018-06-28 11:46:03	ga_ls8c_ard_3-0-0_114080_2018-06-28_final
2018-07-14 11:46:11	ga_ls8c_ard_3-0-0_114080_2018-07-14_final
2018-07-30 11:46:18	ga_ls8c_ard_3-0-0_114080_2018-07-30_final
2018-08-15 11:46:27	ga_ls8c_ard_3-0-0_114080_2018-08-15_final
2018-08-31 11:46:34	ga_ls8c_ard_3-0-0_114080_2018-08-31_final
2018-09-16 11:46:39	ga_ls8c_ard_3-0-0_114080_2018-09-16_final
2018-09-30 11:57:31	ga_ls8c_ard_3-0-0_116076_2018-09-30_final
2018-10-02 11:46:46	ga_ls8c_ard_3-0-0_114080_2018-10-02_final
2018-10-18 11:46:53	ga_ls8c_ard_3-0-0_114080_2018-10-18_final
2018-11-01 11:57:42	ga_ls8c_ard_3-0-0_116076_2018-11-01_final
2018-11-03 11:46:56	ga_ls8c_ard_3-0-0_114080_2018-11-03_final
2018-11-17 11:57:43	ga_ls8c_ard_3-0-0_116076_2018-11-17_final
2018-11-19 11:46:57	ga_ls8c_ard_3-0-0_114080_2018-11-19_final
2018-12-03 11:57:42	ga_ls8c_ard_3-0-0_116076_2018-12-03_final
2018-12-05 11:46:55	ga_ls8c_ard_3-0-0_114080_2018-12-05_final
2018-12-19 11:57:39	ga_ls8c_ard_3-0-0_116076_2018-12-19_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