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
2013-10-06 11:36:57	ga_ls8c_ard_3-0-0_112081_2013-10-06_final
2013-11-23 11:36:39	ga_ls8c_ard_3-0-0_112081_2013-11-23_final
2014-01-10 11:36:19	ga_ls8c_ard_3-0-0_112081_2014-01-10_final
2014-01-26 11:36:11	ga_ls8c_ard_3-0-0_112081_2014-01-26_final
2014-02-27 11:35:44	ga_ls8c_ard_3-0-0_112081_2014-02-27_final
2014-04-16 11:35:00	ga_ls8c_ard_3-0-0_112081_2014-04-16_final
2014-05-18 11:34:35	ga_ls8c_ard_3-0-0_112081_2014-05-18_final
2014-07-21 11:34:56	ga_ls8c_ard_3-0-0_112081_2014-07-21_final
2014-11-10 11:35:18	ga_ls8c_ard_3-0-0_112081_2014-11-10_final
2014-11-26 11:35:15	ga_ls8c_ard_3-0-0_112081_2014-11-26_final
2014-12-12 11:35:08	ga_ls8c_ard_3-0-0_112081_2014-12-12_final
2014-12-28 11:35:08	ga_ls8c_ard_3-0-0_112081_2014-12-28_final
2015-01-13 11:35:06	ga_ls8c_ard_3-0-0_112081_2015-01-13_final
2015-02-14 11:34:51	ga_ls8c_ard_3-0-0_112081_2015-02-14_final
2015-05-05 11:34:13	ga_ls8c_ard_3-0-0_112081_2015-05-05_final
2015-05-21 11:34:06	ga_ls8c_ard_3-0-0_112081_2015-05-21_final
2015-07-08 11:34:32	ga_ls8c_ard_3-0-0_112081_2015-07-08_final
2015-08-09 11:34:42	ga_ls8c_ard_3-0-0_112081_2015-08-09_final
2015-08-25 11:34:50	ga_ls8c_ard_3-0-0_112081_2015-08-25_final
2015-09-26 11:35:03	ga_ls8c_ard_3-0-0_112081_2015-09-26_final
2015-10-28 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-10-28_final
2015-11-13 11:35:09	ga_ls8c_ard_3-0-0_112081_2015-11-13_final
2015-11-29 11:35:13	ga_ls8c_ard_3-0-0_112081_2015-11-29_final
2015-12-31 11:35:10	ga_ls8c_ard_3-0-0_112081_2015-12-31_final
2016-02-01 11:35:07	ga_ls8c_ard_3-0-0_112081_2016-02-01_final
2016-04-05 11:34:42	ga_ls8c_ard_3-0-0_112081_2016-04-05_final
2016-05-07 11:34:39	ga_ls8c_ard_3-0-0_112081_2016-05-07_final
2016-05-23 11:34:40	ga_ls8c_ard_3-0-0_112081_2016-05-23_final
2016-06-08 11:34:45	ga_ls8c_ard_3-0-0_112081_2016-06-08_final
2016-06-24 11:34:50	ga_ls8c_ard_3-0-0_112081_2016-06-24_final
2016-07-10 11:34:59	ga_ls8c_ard_3-0-0_112081_2016-07-10_final
2016-07-26 11:35:04	ga_ls8c_ard_3-0-0_112081_2016-07-26_final
2016-09-28 11:35:17	ga_ls8c_ard_3-0-0_112081_2016-09-28_final
2016-10-14 11:35:23	ga_ls8c_ard_3-0-0_112081_2016-10-14_final
2016-10-30 11:35:25	ga_ls8c_ard_3-0-0_112081_2016-10-30_final
2016-12-01 11:35:23	ga_ls8c_ard_3-0-0_112081_2016-12-01_final
2016-12-17 11:35:19	ga_ls8c_ard_3-0-0_112081_2016-12-17_final
2017-02-03 11:35:05	ga_ls8c_ard_3-0-0_112081_2017-02-03_final
2017-02-19 11:34:59	ga_ls8c_ard_3-0-0_112081_2017-02-19_final
2017-03-07 11:34:52	ga_ls8c_ard_3-0-0_112081_2017-03-07_final
2017-07-13 11:34:52	ga_ls8c_ard_3-0-0_112081_2017-07-13_final
2017-08-14 11:35:06	ga_ls8c_ard_3-0-0_112081_2017-08-14_final
2017-10-01 11:35:18	ga_ls8c_ard_3-0-0_112081_2017-10-01_final
2017-10-17 11:35:21	ga_ls8c_ard_3-0-0_112081_2017-10-17_final
2017-11-02 11:35:21	ga_ls8c_ard_3-0-0_112081_2017-11-02_final
2018-01-05 11:35:11	ga_ls8c_ard_3-0-0_112081_2018-01-05_final
2018-04-11 11:34:25	ga_ls8c_ard_3-0-0_112081_2018-04-11_final
2018-04-27 11:34:16	ga_ls8c_ard_3-0-0_112081_2018-04-27_final
2018-05-13 11:34:06	ga_ls8c_ard_3-0-0_112081_2018-05-13_final
2018-06-14 11:33:56	ga_ls8c_ard_3-0-0_112081_2018-06-14_final
2018-08-01 11:34:21	ga_ls8c_ard_3-0-0_112081_2018-08-01_final
2018-08-17 11:34:30	ga_ls8c_ard_3-0-0_112081_2018-08-17_final
2018-09-02 11:34:37	ga_ls8c_ard_3-0-0_112081_2018-09-02_final
2018-11-05 11:34:59	ga_ls8c_ard_3-0-0_112081_2018-11-05_final
2018-11-21 11:35:00	ga_ls8c_ard_3-0-0_112081_2018-11-21_final
2018-12-07 11:34:57	ga_ls8c_ard_3-0-0_112081_2018-12-07_final
2019-01-04 11:57:15	ga_ls8c_ard_3-0-0_116075_2019-01-04_final
2019-01-06 11:41:42	ga_ls8c_ard_3-0-0_114067_2019-01-06_final
2019-01-06 11:46:53	ga_ls8c_ard_3-0-0_114080_2019-01-06_final
2019-01-08 11:34:55	ga_ls8c_ard_3-0-0_112081_2019-01-08_final
2019-01-15 11:37:53	ga_ls8c_ard_3-0-0_113073_2019-01-15_final
2019-01-15 11:42:16	ga_ls8c_ard_3-0-0_113084_2019-01-15_final
2019-01-22 11:41:38	ga_ls8c_ard_3-0-0_114067_2019-01-22_final
2019-01-22 11:46:50	ga_ls8c_ard_3-0-0_114080_2019-01-22_final
2019-01-31 11:38:37	ga_ls8c_ard_3-0-0_113075_2019-01-31_final
2019-01-31 11:42:12	ga_ls8c_ard_3-0-0_113084_2019-01-31_final
2019-02-07 11:41:36	ga_ls8c_ard_3-0-0_114067_2019-02-07_final
2019-02-07 11:46:47	ga_ls8c_ard_3-0-0_114080_2019-02-07_final
2019-02-16 11:35:24	ga_ls8c_ard_3-0-0_113067_2019-02-16_final
2019-02-16 11:37:47	ga_ls8c_ard_3-0-0_113073_2019-02-16_final
2019-02-16 11:38:35	ga_ls8c_ard_3-0-0_113075_2019-02-16_final
2019-02-16 11:42:10	ga_ls8c_ard_3-0-0_113084_2019-02-16_final
2019-02-23 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-02-23_final
2019-02-23 11:46:44	ga_ls8c_ard_3-0-0_114080_2019-02-23_final
2019-03-04 11:38:31	ga_ls8c_ard_3-0-0_113075_2019-03-04_final
2019-03-04 11:42:06	ga_ls8c_ard_3-0-0_113084_2019-03-04_final
2019-04-21 11:35:04	ga_ls8c_ard_3-0-0_113067_2019-04-21_final
2019-04-21 11:37:04	ga_ls8c_ard_3-0-0_113072_2019-04-21_final
2019-04-21 11:37:28	ga_ls8c_ard_3-0-0_113073_2019-04-21_final
2019-04-21 11:38:16	ga_ls8c_ard_3-0-0_113075_2019-04-21_final
2019-04-21 11:41:51	ga_ls8c_ard_3-0-0_113084_2019-04-21_final
2019-04-28 11:41:14	ga_ls8c_ard_3-0-0_114067_2019-04-28_final
2019-04-28 11:44:26	ga_ls8c_ard_3-0-0_114075_2019-04-28_final
2019-04-28 11:46:25	ga_ls8c_ard_3-0-0_114080_2019-04-28_final
2019-04-30 11:35:40	ga_ls8c_ard_3-0-0_112084_2019-04-30_final
2019-05-05 11:52:39	ga_ls8c_ard_3-0-0_115080_2019-05-05_final
2019-05-07 11:39:31	ga_ls8c_ard_3-0-0_113078_2019-05-07_final
2019-05-07 11:41:55	ga_ls8c_ard_3-0-0_113084_2019-05-07_final
2019-05-14 11:41:24	ga_ls8c_ard_3-0-0_114067_2019-05-14_final
2019-05-14 11:44:35	ga_ls8c_ard_3-0-0_114075_2019-05-14_final
2019-05-14 11:46:35	ga_ls8c_ard_3-0-0_114080_2019-05-14_final
2019-05-16 11:34:38	ga_ls8c_ard_3-0-0_112081_2019-05-16_final
2019-05-23 11:35:18	ga_ls8c_ard_3-0-0_113067_2019-05-23_final
2019-05-23 11:37:18	ga_ls8c_ard_3-0-0_113072_2019-05-23_final
2019-05-23 11:42:05	ga_ls8c_ard_3-0-0_113084_2019-05-23_final
2019-05-30 11:41:33	ga_ls8c_ard_3-0-0_114067_2019-05-30_final
2019-05-30 11:46:44	ga_ls8c_ard_3-0-0_114080_2019-05-30_final
2019-06-08 11:35:26	ga_ls8c_ard_3-0-0_113067_2019-06-08_final
2019-06-08 11:38:37	ga_ls8c_ard_3-0-0_113075_2019-06-08_final
2019-06-08 11:39:49	ga_ls8c_ard_3-0-0_113078_2019-06-08_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