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
2013-03-26 09:41:40	ga_ls8c_ard_3-0-0_093088_2013-03-26_final
2013-03-28 09:20:15	ga_ls8c_ard_3-0-0_090088_2013-03-27_final
2013-04-17 09:36:04	ga_ls8c_ard_3-0-0_092088_2013-04-17_final
2013-06-06 09:23:56	ga_ls8c_ard_3-0-0_090088_2013-06-05_final
2013-06-20 09:36:10	ga_ls8c_ard_3-0-0_092088_2013-06-20_final
2013-07-11 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-07-11_final
2013-07-15 09:30:03	ga_ls8c_ard_3-0-0_091088_2013-07-15_final
2013-07-24 09:23:51	ga_ls8c_ard_3-0-0_090088_2013-07-23_final
2013-08-30 09:42:29	ga_ls8c_ard_3-0-0_093088_2013-08-30_final
2013-09-10 09:23:54	ga_ls8c_ard_3-0-0_090088_2013-09-09_final
2013-09-24 09:36:09	ga_ls8c_ard_3-0-0_092088_2013-09-24_final
2013-09-26 09:23:45	ga_ls8c_ard_3-0-0_090088_2013-09-25_final
2013-10-03 09:29:57	ga_ls8c_ard_3-0-0_091088_2013-10-02_final
2013-10-12 09:23:46	ga_ls8c_ard_3-0-0_090088_2013-10-11_final
2013-10-28 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-10-27_final
2013-11-13 09:23:36	ga_ls8c_ard_3-0-0_090088_2013-11-12_final
2013-12-29 09:35:40	ga_ls8c_ard_3-0-0_092088_2013-12-29_final
2013-12-31 09:23:18	ga_ls8c_ard_3-0-0_090088_2013-12-30_final
2014-02-06 09:41:25	ga_ls8c_ard_3-0-0_093088_2014-02-06_final
2014-07-16 09:40:18	ga_ls8c_ard_3-0-0_093088_2014-07-16_final
2014-07-18 09:27:57	ga_ls8c_ard_3-0-0_091088_2014-07-17_final
2014-07-25 09:34:07	ga_ls8c_ard_3-0-0_092088_2014-07-25_final
2014-07-27 09:21:48	ga_ls8c_ard_3-0-0_090088_2014-07-26_final
2014-08-01 09:40:24	ga_ls8c_ard_3-0-0_093088_2014-08-01_final
2014-08-03 09:28:03	ga_ls8c_ard_3-0-0_091088_2014-08-02_final
2014-08-12 09:21:56	ga_ls8c_ard_3-0-0_090088_2014-08-11_final
2014-08-17 09:40:30	ga_ls8c_ard_3-0-0_093088_2014-08-17_final
2014-08-19 09:28:08	ga_ls8c_ard_3-0-0_091088_2014-08-18_final
2014-08-31 09:52:29	ga_ls8c_ard_3-0-0_095087_2014-08-31_final
2014-09-02 09:40:32	ga_ls8c_ard_3-0-0_093088_2014-09-02_final
2014-09-09 09:46:21	ga_ls8c_ard_3-0-0_094087_2014-09-09_final
2014-09-11 09:34:24	ga_ls8c_ard_3-0-0_092088_2014-09-11_final
2014-09-13 09:22:02	ga_ls8c_ard_3-0-0_090088_2014-09-12_final
2014-09-18 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-09-18_final
2014-09-20 09:28:11	ga_ls8c_ard_3-0-0_091088_2014-09-19_final
2014-09-27 09:34:21	ga_ls8c_ard_3-0-0_092088_2014-09-27_final
2014-09-29 09:22:01	ga_ls8c_ard_3-0-0_090088_2014-09-28_final
2014-10-04 09:40:37	ga_ls8c_ard_3-0-0_093088_2014-10-04_final
2014-10-06 09:28:16	ga_ls8c_ard_3-0-0_091088_2014-10-05_final
2014-10-13 09:34:28	ga_ls8c_ard_3-0-0_092088_2014-10-13_final
2014-10-15 09:22:07	ga_ls8c_ard_3-0-0_090088_2014-10-14_final
2014-11-05 09:40:39	ga_ls8c_ard_3-0-0_093088_2014-11-05_final
2014-11-14 09:34:28	ga_ls8c_ard_3-0-0_092088_2014-11-14_final
2014-11-16 09:22:06	ga_ls8c_ard_3-0-0_090088_2014-11-15_final
2014-11-21 09:40:35	ga_ls8c_ard_3-0-0_093088_2014-11-21_final
2014-11-23 09:28:14	ga_ls8c_ard_3-0-0_091088_2014-11-22_final
2014-12-23 09:40:33	ga_ls8c_ard_3-0-0_093088_2014-12-23_final
2014-12-25 09:28:10	ga_ls8c_ard_3-0-0_091088_2014-12-24_final
2015-01-19 09:21:53	ga_ls8c_ard_3-0-0_090088_2015-01-18_final
2015-02-04 09:21:49	ga_ls8c_ard_3-0-0_090088_2015-02-03_final
2015-03-06 09:33:58	ga_ls8c_ard_3-0-0_092088_2015-03-06_final
2016-05-16 09:51:57	ga_ls8c_ard_3-0-0_095087_2016-05-16_final
2016-05-16 09:52:21	ga_ls8c_ard_3-0-0_095088_2016-05-16_final
2016-05-18 09:40:00	ga_ls8c_ard_3-0-0_093088_2016-05-18_final
2016-06-01 09:52:27	ga_ls8c_ard_3-0-0_095088_2016-06-01_final
2016-06-03 09:40:06	ga_ls8c_ard_3-0-0_093088_2016-06-03_final
2016-06-17 09:52:29	ga_ls8c_ard_3-0-0_095088_2016-06-17_final
2016-06-19 09:40:09	ga_ls8c_ard_3-0-0_093088_2016-06-19_final
2016-06-30 09:21:43	ga_ls8c_ard_3-0-0_090088_2016-06-29_final
2016-07-03 09:52:15	ga_ls8c_ard_3-0-0_095087_2016-07-03_final
2016-07-03 09:52:39	ga_ls8c_ard_3-0-0_095088_2016-07-03_final
2016-07-05 09:40:19	ga_ls8c_ard_3-0-0_093088_2016-07-05_final
2016-07-16 09:21:51	ga_ls8c_ard_3-0-0_090088_2016-07-15_final
2016-08-04 09:52:49	ga_ls8c_ard_3-0-0_095088_2016-08-04_final
2016-08-06 09:40:27	ga_ls8c_ard_3-0-0_093088_2016-08-06_final
2017-05-14 09:33:40	ga_ls8c_ard_3-0-0_092088_2017-05-14_final
2017-05-16 09:21:20	ga_ls8c_ard_3-0-0_090088_2017-05-15_final
2017-05-30 09:33:50	ga_ls8c_ard_3-0-0_092088_2017-05-30_final
2017-06-01 09:21:06	ga_ls8c_ard_3-0-0_090087_2017-05-31_final
2017-06-01 09:21:29	ga_ls8c_ard_3-0-0_090088_2017-05-31_final
2017-10-21 09:34:33	ga_ls8c_ard_3-0-0_092088_2017-10-21_final
2017-10-23 09:22:11	ga_ls8c_ard_3-0-0_090088_2017-10-22_final
2017-10-30 09:28:22	ga_ls8c_ard_3-0-0_091088_2017-10-29_final
2017-11-06 09:34:32	ga_ls8c_ard_3-0-0_092088_2017-11-06_final
2017-11-08 09:22:10	ga_ls8c_ard_3-0-0_090088_2017-11-07_final
2017-11-11 09:53:03	ga_ls8c_ard_3-0-0_095088_2017-11-11_final
2017-11-13 09:40:41	ga_ls8c_ard_3-0-0_093088_2017-11-13_final
2017-11-15 09:28:19	ga_ls8c_ard_3-0-0_091088_2017-11-14_final
2017-12-01 09:28:13	ga_ls8c_ard_3-0-0_091088_2017-11-30_final
2017-12-03 09:15:51	ga_ls8c_ard_3-0-0_089088_2017-12-02_final
2017-12-08 09:34:24	ga_ls8c_ard_3-0-0_092088_2017-12-08_final
2017-12-10 09:22:02	ga_ls8c_ard_3-0-0_090088_2017-12-09_final
2017-12-17 09:28:15	ga_ls8c_ard_3-0-0_091088_2017-12-16_final
2017-12-24 09:34:26	ga_ls8c_ard_3-0-0_092088_2017-12-24_final
2017-12-26 09:22:04	ga_ls8c_ard_3-0-0_090088_2017-12-25_final
2017-12-29 09:52:57	ga_ls8c_ard_3-0-0_095088_2017-12-29_final
2017-12-31 09:40:35	ga_ls8c_ard_3-0-0_093088_2017-12-31_final
2018-01-09 09:34:21	ga_ls8c_ard_3-0-0_092088_2018-01-09_final
2018-01-11 09:21:58	ga_ls8c_ard_3-0-0_090088_2018-01-10_final
2018-01-25 09:34:12	ga_ls8c_ard_3-0-0_092088_2018-01-25_final
2018-01-27 09:21:49	ga_ls8c_ard_3-0-0_090088_2018-01-26_final
2018-03-23 09:27:35	ga_ls8c_ard_3-0-0_091088_2018-03-22_final
2018-04-26 09:14:55	ga_ls8c_ard_3-0-0_089088_2018-04-25_final
2018-05-03 09:21:02	ga_ls8c_ard_3-0-0_090088_2018-05-02_final
2018-05-19 09:20:51	ga_ls8c_ard_3-0-0_090088_2018-05-18_final
2021-11-19 09:22:13	ga_ls8c_ard_3-2-0_090088_2021-11-18_final
2021-11-22 09:53:08	ga_ls8c_ard_3-2-0_095088_2021-11-22_final
2021-11-24 09:40:47	ga_ls8c_ard_3-2-0_093088_2021-11-24_final
2021-11-26 09:28:25	ga_ls8c_ard_3-2-0_091088_2021-11-25_final
2021-12-03 09:34:37	ga_ls8c_ard_3-2-0_092088_2021-12-03_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