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
2014-02-10 09:17:01	ga_ls8c_ard_3-0-0_089089_2014-02-09_final
2014-02-15 09:35:06	ga_ls8c_ard_3-0-0_092088_2014-02-15_final
2014-02-15 09:35:30	ga_ls8c_ard_3-0-0_092089_2014-02-15_final
2014-02-17 09:22:43	ga_ls8c_ard_3-0-0_090088_2014-02-16_final
2014-02-17 09:23:07	ga_ls8c_ard_3-0-0_090089_2014-02-16_final
2014-03-14 09:16:38	ga_ls8c_ard_3-0-0_089089_2014-03-13_final
2014-04-06 09:22:03	ga_ls8c_ard_3-0-0_090088_2014-04-05_final
2014-04-06 09:22:27	ga_ls8c_ard_3-0-0_090089_2014-04-05_final
2014-04-22 09:21:46	ga_ls8c_ard_3-0-0_090088_2014-04-21_final
2014-04-22 09:22:10	ga_ls8c_ard_3-1-0_090089_2014-04-21_final
2014-04-29 09:28:15	ga_ls8c_ard_3-0-0_091089_2014-04-28_final
2014-05-08 09:21:54	ga_ls8c_ard_3-0-0_090089_2014-05-07_final
2014-05-24 09:21:23	ga_ls8c_ard_3-0-0_090088_2014-05-23_final
2014-05-24 09:21:47	ga_ls8c_ard_3-0-0_090089_2014-05-23_final
2014-06-02 09:15:43	ga_ls8c_ard_3-0-0_089089_2014-06-01_final
2014-06-14 09:40:08	ga_ls8c_ard_3-0-0_093088_2014-06-14_final
2014-06-16 09:27:47	ga_ls8c_ard_3-0-0_091088_2014-06-15_final
2014-06-16 09:28:11	ga_ls8c_ard_3-0-0_091089_2014-06-15_final
2014-06-18 09:15:49	ga_ls8c_ard_3-0-0_089089_2014-06-17_final
2014-06-23 09:33:58	ga_ls8c_ard_3-0-0_092088_2014-06-23_final
2014-06-23 09:34:22	ga_ls8c_ard_3-0-0_092089_2014-06-23_final
2014-06-25 09:21:36	ga_ls8c_ard_3-0-0_090088_2014-06-24_final
2014-06-25 09:22:00	ga_ls8c_ard_3-0-0_090089_2014-06-24_final
2016-08-20 09:52:54	ga_ls8c_ard_3-0-0_095088_2016-08-20_final
2016-08-22 09:40:33	ga_ls8c_ard_3-0-0_093088_2016-08-22_final
2016-09-05 09:53:00	ga_ls8c_ard_3-0-0_095088_2016-09-05_final
2016-09-07 09:40:38	ga_ls8c_ard_3-0-0_093088_2016-09-07_final
2016-09-14 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-14_final
2016-09-30 09:46:50	ga_ls8c_ard_3-0-0_094088_2016-09-30_final
2016-10-02 09:34:30	ga_ls8c_ard_3-0-0_092088_2016-10-02_final
2016-10-02 09:34:54	ga_ls8c_ard_3-0-0_092089_2016-10-02_final
2016-10-04 09:22:09	ga_ls8c_ard_3-0-0_090088_2016-10-03_final
2016-10-04 09:22:33	ga_ls8c_ard_3-0-0_090089_2016-10-03_final
2016-10-07 09:53:04	ga_ls8c_ard_3-0-0_095088_2016-10-07_final
2016-10-09 09:40:43	ga_ls8c_ard_3-0-0_093088_2016-10-09_final
2016-10-16 09:46:56	ga_ls8c_ard_3-0-0_094088_2016-10-16_final
2016-10-18 09:34:35	ga_ls8c_ard_3-0-0_092088_2016-10-18_final
2016-10-18 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-10-18_final
2016-10-23 09:53:08	ga_ls8c_ard_3-0-0_095088_2016-10-23_final
2016-10-25 09:40:47	ga_ls8c_ard_3-0-0_093088_2016-10-25_final
2016-11-01 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-01_final
2016-11-08 09:53:07	ga_ls8c_ard_3-0-0_095088_2016-11-08_final
2016-11-10 09:40:45	ga_ls8c_ard_3-0-0_093088_2016-11-10_final
2016-11-17 09:46:57	ga_ls8c_ard_3-0-0_094088_2016-11-17_final
2016-11-19 09:34:35	ga_ls8c_ard_3-0-0_092088_2016-11-19_final
2016-11-19 09:34:59	ga_ls8c_ard_3-0-0_092089_2016-11-19_final
2016-11-21 09:22:14	ga_ls8c_ard_3-0-0_090088_2016-11-20_final
2016-11-21 09:22:38	ga_ls8c_ard_3-0-0_090089_2016-11-20_final
2018-01-30 09:52:42	ga_ls8c_ard_3-0-0_095088_2018-01-30_final
2018-02-01 09:40:19	ga_ls8c_ard_3-0-0_093088_2018-02-01_final
2018-02-03 09:27:56	ga_ls8c_ard_3-0-0_091088_2018-02-02_final
2018-02-03 09:28:20	ga_ls8c_ard_3-0-0_091089_2018-02-02_final
2018-02-15 09:52:36	ga_ls8c_ard_3-0-0_095088_2018-02-15_final
2018-02-17 09:40:13	ga_ls8c_ard_3-0-0_093088_2018-02-17_final
2018-02-19 09:27:51	ga_ls8c_ard_3-0-0_091088_2018-02-18_final
2018-02-19 09:28:15	ga_ls8c_ard_3-0-0_091089_2018-02-18_final
2018-03-03 09:52:29	ga_ls8c_ard_3-0-0_095088_2018-03-03_final
2018-03-05 09:40:06	ga_ls8c_ard_3-0-0_093088_2018-03-05_final
2018-03-07 09:27:43	ga_ls8c_ard_3-0-0_091088_2018-03-06_final
2018-03-07 09:28:07	ga_ls8c_ard_3-1-0_091089_2018-03-06_final
2018-03-19 09:52:20	ga_ls8c_ard_3-0-0_095088_2018-03-19_final
2018-03-21 09:39:57	ga_ls8c_ard_3-0-0_093088_2018-03-21_final
2018-03-23 09:27:35	ga_ls8c_ard_3-0-0_091088_2018-03-22_final
2018-03-23 09:27:59	ga_ls8c_ard_3-1-0_091089_2018-03-22_final
2018-04-04 09:52:13	ga_ls8c_ard_3-0-0_095088_2018-04-04_final
2018-04-06 09:39:50	ga_ls8c_ard_3-0-0_093088_2018-04-06_final
2018-04-13 09:45:57	ga_ls8c_ard_3-0-0_094088_2018-04-13_final
2018-04-20 09:52:03	ga_ls8c_ard_3-0-0_095088_2018-04-20_final
2018-04-22 09:39:40	ga_ls8c_ard_3-0-0_093088_2018-04-22_final
2018-04-24 09:27:18	ga_ls8c_ard_3-0-0_091088_2018-04-23_final
2018-04-24 09:27:42	ga_ls8c_ard_3-1-0_091089_2018-04-23_final
2018-04-26 09:14:55	ga_ls8c_ard_3-0-0_089088_2018-04-25_final
2018-04-26 09:15:19	ga_ls8c_ard_3-0-0_089089_2018-04-25_final
2018-05-03 09:21:02	ga_ls8c_ard_3-0-0_090088_2018-05-02_final
2018-05-03 09:21:26	ga_ls8c_ard_3-0-0_090089_2018-05-02_final
2018-05-06 09:51:54	ga_ls8c_ard_3-0-0_095088_2018-05-06_final
2018-05-08 09:39:31	ga_ls8c_ard_3-0-0_093088_2018-05-08_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2018-05-19 09:21:15	ga_ls8c_ard_3-0-0_090089_2018-05-18_final
2018-05-22 09:51:43	ga_ls8c_ard_3-0-0_095088_2018-05-22_final
2018-05-24 09:39:20	ga_ls8c_ard_3-0-0_093088_2018-05-24_final
2018-06-07 09:51:35	ga_ls8c_ard_3-0-0_095088_2018-06-07_final
2018-06-09 09:39:15	ga_ls8c_ard_3-0-0_093088_2018-06-09_final
2018-06-16 09:45:31	ga_ls8c_ard_3-0-0_094088_2018-06-16_final
2018-06-23 09:51:46	ga_ls8c_ard_3-0-0_095088_2018-06-23_final
2018-06-25 09:39:26	ga_ls8c_ard_3-0-0_093088_2018-06-25_final
2018-07-02 09:45:40	ga_ls8c_ard_3-0-0_094088_2018-07-02_final
2018-07-09 09:51:55	ga_ls8c_ard_3-0-0_095088_2018-07-09_final
2018-07-11 09:39:34	ga_ls8c_ard_3-0-0_093088_2018-07-11_final
2018-07-13 09:27:13	ga_ls8c_ard_3-0-0_091088_2018-07-12_final
2018-07-13 09:27:37	ga_ls8c_ard_3-0-0_091089_2018-07-12_final
2018-07-18 09:45:48	ga_ls8c_ard_3-0-0_094088_2018-07-18_final
2018-08-03 09:45:56	ga_ls8c_ard_3-0-0_094088_2018-08-03_final
2018-08-10 09:52:10	ga_ls8c_ard_3-0-0_095088_2018-08-10_final
2018-08-12 09:39:50	ga_ls8c_ard_3-0-0_093088_2018-08-12_final
2018-08-14 09:27:29	ga_ls8c_ard_3-0-0_091088_2018-08-13_final
2018-08-14 09:27:53	ga_ls8c_ard_3-0-0_091089_2018-08-13_final
2018-08-19 09:46:04	ga_ls8c_ard_3-0-0_094088_2018-08-19_final
2018-08-26 09:52:18	ga_ls8c_ard_3-0-0_095088_2018-08-26_final
2018-08-28 09:39:57	ga_ls8c_ard_3-0-0_093088_2018-08-28_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