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
2014-07-18 09:28:44	ga_ls8c_ard_3-0-0_091090_2014-07-17_final
2014-07-20 09:16:23	ga_ls8c_ard_3-0-0_089090_2014-07-19_final
2014-07-27 09:22:35	ga_ls8c_ard_3-0-0_090090_2014-07-26_final
2014-08-03 09:28:51	ga_ls8c_ard_3-0-0_091090_2014-08-02_final
2014-08-05 09:16:31	ga_ls8c_ard_3-0-0_089090_2014-08-04_final
2014-08-12 09:22:44	ga_ls8c_ard_3-0-0_090090_2014-08-11_final
2014-08-19 09:28:56	ga_ls8c_ard_3-0-0_091090_2014-08-18_final
2014-08-21 09:16:35	ga_ls8c_ard_3-0-0_089090_2014-08-20_final
2014-08-28 09:22:46	ga_ls8c_ard_3-0-0_090090_2014-08-27_final
2014-09-04 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-03_final
2014-09-06 09:16:38	ga_ls8c_ard_3-0-0_089090_2014-09-05_final
2014-09-20 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-09-19_final
2014-09-22 09:16:36	ga_ls8c_ard_3-0-0_089090_2014-09-21_final
2014-09-29 09:22:49	ga_ls8c_ard_3-0-0_090090_2014-09-28_final
2014-10-06 09:29:04	ga_ls8c_ard_3-0-0_091090_2014-10-05_final
2014-10-08 09:16:42	ga_ls8c_ard_3-0-0_089090_2014-10-07_final
2014-10-15 09:22:55	ga_ls8c_ard_3-0-0_090090_2014-10-14_final
2014-10-22 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-10-21_final
2014-10-24 09:16:44	ga_ls8c_ard_3-0-0_089090_2014-10-23_final
2014-10-31 09:22:51	ga_ls8c_ard_3-0-0_090090_2014-10-30_final
2014-11-07 09:29:06	ga_ls8c_ard_3-0-0_091090_2014-11-06_final
2014-11-16 09:22:54	ga_ls8c_ard_3-0-0_090090_2014-11-15_final
2014-11-23 09:29:02	ga_ls8c_ard_3-0-0_091090_2014-11-22_final
2014-11-25 09:16:41	ga_ls8c_ard_3-0-0_089090_2014-11-24_final
2014-12-02 09:22:53	ga_ls8c_ard_3-0-0_090090_2014-12-01_final
2014-12-09 09:28:59	ga_ls8c_ard_3-0-0_091090_2014-12-08_final
2014-12-27 09:16:35	ga_ls8c_ard_3-0-0_089090_2014-12-26_final
2015-01-03 09:22:43	ga_ls8c_ard_3-0-0_090090_2015-01-02_final
2015-01-10 09:28:55	ga_ls8c_ard_3-0-0_091090_2015-01-09_final
2015-01-12 09:16:33	ga_ls8c_ard_3-0-0_089090_2015-01-11_final
2015-02-20 09:22:30	ga_ls8c_ard_3-0-0_090090_2015-02-19_final
2015-03-31 09:28:42	ga_ls8c_ard_3-0-0_091091_2015-03-30_final
2015-08-22 09:28:38	ga_ls8c_ard_3-0-0_091090_2015-08-21_final
2015-08-22 09:29:02	ga_ls8c_ard_3-0-0_091091_2015-08-21_final
2015-08-24 09:16:17	ga_ls8c_ard_3-0-0_089090_2015-08-23_final
2015-08-29 09:34:51	ga_ls8c_ard_3-0-0_092090_2015-08-29_final
2015-09-09 09:16:23	ga_ls8c_ard_3-0-0_089090_2015-09-08_final
2015-09-25 09:16:30	ga_ls8c_ard_3-0-0_089090_2015-09-24_final
2015-10-09 09:28:53	ga_ls8c_ard_3-0-0_091090_2015-10-08_final
2015-10-09 09:29:17	ga_ls8c_ard_3-0-0_091091_2015-10-08_final
2015-10-11 09:16:31	ga_ls8c_ard_3-0-0_089090_2015-10-10_final
2015-11-12 09:16:36	ga_ls8c_ard_3-0-0_089090_2015-11-11_final
2016-05-04 09:28:29	ga_ls8c_ard_3-0-0_091090_2016-05-03_final
2016-05-04 09:28:53	ga_ls8c_ard_3-0-0_091091_2016-05-03_final
2016-05-06 09:16:07	ga_ls8c_ard_3-0-0_089090_2016-05-05_final
2016-05-20 09:28:27	ga_ls8c_ard_3-0-0_091090_2016-05-19_final
2016-05-20 09:28:51	ga_ls8c_ard_3-0-0_091091_2016-05-19_final
2016-05-27 09:34:41	ga_ls8c_ard_3-0-0_092090_2016-05-27_final
2016-05-29 09:22:20	ga_ls8c_ard_3-0-0_090090_2016-05-28_final
2016-05-29 09:22:44	ga_ls8c_ard_3-0-0_090091_2016-05-28_final
2016-06-05 09:28:33	ga_ls8c_ard_3-0-0_091090_2016-06-04_final
2016-06-05 09:28:57	ga_ls8c_ard_3-0-0_091091_2016-06-04_final
2016-06-12 09:34:44	ga_ls8c_ard_3-0-0_092090_2016-06-12_final
2016-06-14 09:22:23	ga_ls8c_ard_3-0-0_090090_2016-06-13_final
2016-06-14 09:22:47	ga_ls8c_ard_3-0-0_090091_2016-06-13_final
2016-06-23 09:16:16	ga_ls8c_ard_3-0-0_089090_2016-06-22_final
2016-06-28 09:34:52	ga_ls8c_ard_3-0-0_092090_2016-06-28_final
2016-07-16 09:22:39	ga_ls8c_ard_3-0-0_090090_2016-07-15_final
2016-07-16 09:23:03	ga_ls8c_ard_3-0-0_090091_2016-07-15_final
2016-07-23 09:28:51	ga_ls8c_ard_3-0-0_091090_2016-07-22_final
2016-07-23 09:29:15	ga_ls8c_ard_3-0-0_091091_2016-07-22_final
2016-07-30 09:35:04	ga_ls8c_ard_3-0-0_092090_2016-07-30_final
2016-08-01 09:22:42	ga_ls8c_ard_3-0-0_090090_2016-07-31_final
2016-08-01 09:23:06	ga_ls8c_ard_3-0-0_090091_2016-07-31_final
2016-08-08 09:28:54	ga_ls8c_ard_3-0-0_091090_2016-08-07_final
2016-08-08 09:29:18	ga_ls8c_ard_3-0-0_091091_2016-08-07_final
2016-08-10 09:16:32	ga_ls8c_ard_3-0-0_089090_2016-08-09_final
2017-07-26 09:28:47	ga_ls8c_ard_3-0-0_091090_2017-07-25_final
2017-07-26 09:29:11	ga_ls8c_ard_3-0-0_091091_2017-07-25_final
2017-08-02 09:35:01	ga_ls8c_ard_3-0-0_092090_2017-08-02_final
2017-08-04 09:22:40	ga_ls8c_ard_3-0-0_090090_2017-08-03_final
2017-08-04 09:23:04	ga_ls8c_ard_3-0-0_090091_2017-08-03_final
2017-08-18 09:35:06	ga_ls8c_ard_3-0-0_092090_2017-08-18_final
2017-08-20 09:22:45	ga_ls8c_ard_3-0-0_090090_2017-08-19_final
2017-08-20 09:23:09	ga_ls8c_ard_3-0-0_090091_2017-08-19_final
2017-08-27 09:28:58	ga_ls8c_ard_3-0-0_091090_2017-08-26_final
2017-08-27 09:29:22	ga_ls8c_ard_3-0-0_091091_2017-08-26_final
2017-09-03 09:35:09	ga_ls8c_ard_3-0-0_092090_2017-09-03_final
2017-09-19 09:35:11	ga_ls8c_ard_3-0-0_092090_2017-09-19_final
2017-09-28 09:29:05	ga_ls8c_ard_3-0-0_091090_2017-09-27_final
2017-09-28 09:29:29	ga_ls8c_ard_3-0-0_091091_2017-09-27_final
2017-10-14 09:29:09	ga_ls8c_ard_3-0-0_091090_2017-10-13_final
2017-10-14 09:29:33	ga_ls8c_ard_3-0-0_091091_2017-10-13_final
2019-01-21 09:28:41	ga_ls8c_ard_3-0-0_091090_2019-01-20_final
2019-01-21 09:29:05	ga_ls8c_ard_3-0-0_091091_2019-01-20_final
2019-02-22 09:28:59	ga_ls8c_ard_3-0-0_091091_2019-02-21_final
2019-03-01 09:34:44	ga_ls8c_ard_3-0-0_092090_2019-03-01_final
2019-03-03 09:22:22	ga_ls8c_ard_3-0-0_090090_2019-03-02_final
2019-03-03 09:22:45	ga_ls8c_ard_3-0-0_090091_2019-03-02_final
2019-03-10 09:28:54	ga_ls8c_ard_3-1-0_091091_2019-03-09_final
2019-04-20 09:22:31	ga_ls8c_ard_3-0-0_090091_2019-04-19_final
2019-04-27 09:28:16	ga_ls8c_ard_3-0-0_091090_2019-04-26_final
2019-04-27 09:28:40	ga_ls8c_ard_3-0-0_091091_2019-04-26_final
2019-05-29 09:28:34	ga_ls8c_ard_3-0-0_091090_2019-05-28_final
2019-05-29 09:28:58	ga_ls8c_ard_3-0-0_091091_2019-05-28_final
2019-12-30 09:35:17	ga_ls8c_ard_3-1-0_092090_2019-12-30_final
2020-01-01 09:22:54	ga_ls8c_ard_3-1-0_090090_2019-12-31_final
2020-01-01 09:23:18	ga_ls8c_ard_3-1-0_090091_2019-12-31_final
2020-02-16 09:35:05	ga_ls8c_ard_3-1-0_092090_2020-02-16_final
2020-02-25 09:28:51	ga_ls8c_ard_3-1-0_091090_2020-02-24_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