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
2013-12-24 09:12:46	ga_ls8c_ard_3-0-0_089077_2013-12-23_final
2013-12-24 09:13:10	ga_ls8c_ard_3-0-0_089078_2013-12-23_final
2013-12-24 09:13:34	ga_ls8c_ard_3-0-0_089079_2013-12-23_final
2013-12-24 09:13:58	ga_ls8c_ard_3-0-0_089080_2013-12-23_final
2013-12-24 09:14:22	ga_ls8c_ard_3-0-0_089081_2013-12-23_final
2013-12-29 09:27:17	ga_ls8c_ard_3-0-0_092067_2013-12-28_final
2014-04-15 09:11:41	ga_ls8c_ard_3-0-0_089078_2014-04-14_final
2014-04-15 09:12:05	ga_ls8c_ard_3-0-0_089079_2014-04-14_final
2014-04-15 09:12:29	ga_ls8c_ard_3-0-0_089080_2014-04-14_final
2014-04-22 09:16:35	ga_ls8c_ard_3-0-0_090075_2014-04-21_final
2014-04-22 09:16:59	ga_ls8c_ard_3-0-0_090076_2014-04-21_final
2014-07-25 09:25:45	ga_ls8c_ard_3-0-0_092067_2014-07-24_final
2014-11-07 09:21:55	ga_ls8c_ard_3-0-0_091072_2014-11-06_final
2014-11-09 09:10:45	ga_ls8c_ard_3-0-0_089075_2014-11-08_final
2014-11-09 09:11:09	ga_ls8c_ard_3-0-0_089076_2014-11-08_final
2014-11-09 09:11:33	ga_ls8c_ard_3-0-0_089077_2014-11-08_final
2014-11-09 09:11:57	ga_ls8c_ard_3-0-0_089078_2014-11-08_final
2014-11-09 09:12:21	ga_ls8c_ard_3-0-0_089079_2014-11-08_final
2014-11-09 09:12:45	ga_ls8c_ard_3-0-0_089080_2014-11-08_final
2014-11-09 09:13:09	ga_ls8c_ard_3-0-0_089081_2014-11-08_final
2015-02-06 09:06:15	ga_ls8c_ard_3-0-0_088080_2015-02-05_final
2015-02-06 09:06:39	ga_ls8c_ard_3-1-0_088081_2015-02-05_final
2015-02-06 09:07:03	ga_ls8c_ard_3-0-0_088082_2015-02-05_final
2015-02-18 09:25:41	ga_ls8c_ard_3-0-0_092067_2015-02-17_final
2015-02-20 09:16:31	ga_ls8c_ard_3-0-0_090075_2015-02-19_final
2015-02-20 09:16:55	ga_ls8c_ard_3-0-0_090076_2015-02-19_final
2015-03-01 09:10:17	ga_ls8c_ard_3-0-0_089075_2015-02-28_final
2015-03-01 09:10:41	ga_ls8c_ard_3-0-0_089076_2015-02-28_final
2015-03-01 09:11:05	ga_ls8c_ard_3-0-0_089077_2015-02-28_final
2015-03-01 09:11:29	ga_ls8c_ard_3-0-0_089078_2015-02-28_final
2015-03-01 09:11:53	ga_ls8c_ard_3-0-0_089079_2015-02-28_final
2015-03-01 09:12:17	ga_ls8c_ard_3-0-0_089080_2015-02-28_final
2015-03-01 09:12:41	ga_ls8c_ard_3-0-0_089081_2015-02-28_final
2015-03-06 09:25:35	ga_ls8c_ard_3-0-0_092067_2015-03-05_final
2015-05-25 09:24:56	ga_ls8c_ard_3-0-0_092067_2015-05-24_final
2015-06-10 09:25:06	ga_ls8c_ard_3-0-0_092067_2015-06-09_final
2016-06-23 09:10:17	ga_ls8c_ard_3-0-0_089075_2016-06-22_final
2016-06-23 09:10:41	ga_ls8c_ard_3-0-0_089076_2016-06-22_final
2016-06-23 09:11:05	ga_ls8c_ard_3-0-0_089077_2016-06-22_final
2016-06-23 09:11:29	ga_ls8c_ard_3-0-0_089078_2016-06-22_final
2016-06-23 09:11:53	ga_ls8c_ard_3-0-0_089079_2016-06-22_final
2016-06-23 09:12:17	ga_ls8c_ard_3-0-0_089080_2016-06-22_final
2016-06-23 09:12:41	ga_ls8c_ard_3-0-0_089081_2016-06-22_final
2016-08-01 09:16:19	ga_ls8c_ard_3-0-0_090074_2016-07-31_final
2016-08-01 09:16:43	ga_ls8c_ard_3-0-0_090075_2016-07-31_final
2016-08-01 09:17:07	ga_ls8c_ard_3-0-0_090076_2016-07-31_final
2016-08-08 09:20:07	ga_ls8c_ard_3-0-0_091068_2016-08-07_final
2016-08-08 09:21:43	ga_ls8c_ard_3-0-0_091072_2016-08-07_final
2016-08-10 09:10:33	ga_ls8c_ard_3-0-0_089075_2016-08-09_final
2016-08-10 09:10:57	ga_ls8c_ard_3-0-0_089076_2016-08-09_final
2016-08-10 09:11:21	ga_ls8c_ard_3-0-0_089077_2016-08-09_final
2016-08-10 09:11:45	ga_ls8c_ard_3-0-0_089078_2016-08-09_final
2016-08-10 09:12:09	ga_ls8c_ard_3-0-0_089079_2016-08-09_final
2016-08-10 09:12:33	ga_ls8c_ard_3-0-0_089080_2016-08-09_final
2016-08-10 09:12:57	ga_ls8c_ard_3-0-0_089081_2016-08-09_final
2016-09-20 09:06:34	ga_ls8c_ard_3-0-0_088080_2016-09-19_final
2016-09-20 09:06:58	ga_ls8c_ard_3-1-0_088081_2016-09-19_final
2016-09-20 09:07:22	ga_ls8c_ard_3-0-0_088082_2016-09-19_final
2016-09-20 09:07:46	ga_ls8c_ard_3-0-0_088083_2016-09-19_final
2016-09-20 09:08:10	ga_ls8c_ard_3-0-0_088084_2016-09-19_final
2016-10-04 09:16:34	ga_ls8c_ard_3-0-0_090074_2016-10-03_final
2016-10-04 09:16:58	ga_ls8c_ard_3-0-0_090075_2016-10-03_final
2016-10-04 09:17:22	ga_ls8c_ard_3-0-0_090076_2016-10-03_final
2017-04-16 09:05:47	ga_ls8c_ard_3-0-0_088080_2017-04-15_final
2017-04-16 09:06:11	ga_ls8c_ard_3-1-0_088081_2017-04-15_final
2017-04-16 09:06:35	ga_ls8c_ard_3-0-0_088082_2017-04-15_final
2017-04-16 09:06:59	ga_ls8c_ard_3-0-0_088083_2017-04-15_final
2017-04-16 09:07:23	ga_ls8c_ard_3-0-0_088084_2017-04-15_final
2017-04-28 09:25:11	ga_ls8c_ard_3-0-0_092067_2017-04-27_final
2017-07-21 09:06:13	ga_ls8c_ard_3-0-0_088080_2017-07-20_final
2017-07-21 09:06:37	ga_ls8c_ard_3-1-0_088081_2017-07-20_final
2017-07-21 09:07:00	ga_ls8c_ard_3-0-0_088082_2017-07-20_final
2017-07-21 09:07:24	ga_ls8c_ard_3-0-0_088083_2017-07-20_final
2017-07-21 09:07:48	ga_ls8c_ard_3-0-0_088084_2017-07-20_final
2017-08-02 09:25:50	ga_ls8c_ard_3-0-0_092067_2017-08-01_final
2017-08-27 09:20:11	ga_ls8c_ard_3-0-0_091068_2017-08-26_final
2017-08-27 09:21:47	ga_ls8c_ard_3-0-0_091072_2017-08-26_final
2019-02-01 09:06:06	ga_ls8c_ard_3-0-0_088080_2019-01-31_final
2019-02-01 09:06:30	ga_ls8c_ard_3-1-0_088081_2019-01-31_final
2019-02-01 09:06:54	ga_ls8c_ard_3-0-0_088082_2019-01-31_final
2019-02-01 09:07:18	ga_ls8c_ard_3-0-0_088083_2019-01-31_final
2019-02-01 09:07:42	ga_ls8c_ard_3-0-0_088084_2019-01-31_final
2019-02-22 09:19:48	ga_ls8c_ard_3-0-0_091068_2019-02-21_final
2019-02-22 09:21:24	ga_ls8c_ard_3-0-0_091072_2019-02-21_final
2019-03-21 09:05:55	ga_ls8c_ard_3-1-0_088080_2019-03-20_final
2019-03-21 09:06:19	ga_ls8c_ard_3-1-0_088081_2019-03-20_final
2019-03-21 09:06:43	ga_ls8c_ard_3-1-0_088082_2019-03-20_final
2019-03-21 09:07:07	ga_ls8c_ard_3-1-0_088083_2019-03-20_final
2019-03-21 09:07:31	ga_ls8c_ard_3-1-0_088084_2019-03-20_final
2019-04-02 09:25:24	ga_ls8c_ard_3-1-0_092067_2019-04-01_final
2019-04-11 09:19:35	ga_ls8c_ard_3-1-0_091068_2019-04-10_final
2019-04-11 09:21:10	ga_ls8c_ard_3-1-0_091072_2019-04-10_final
2019-05-08 09:05:26	ga_ls8c_ard_3-0-0_088079_2019-05-07_final
2019-05-08 09:05:50	ga_ls8c_ard_3-0-0_088080_2019-05-07_final
2019-05-08 09:06:13	ga_ls8c_ard_3-0-0_088081_2019-05-07_final
2019-05-08 09:06:37	ga_ls8c_ard_3-0-0_088082_2019-05-07_final
2019-05-08 09:07:01	ga_ls8c_ard_3-0-0_088083_2019-05-07_final
2019-05-08 09:07:25	ga_ls8c_ard_3-0-0_088084_2019-05-07_final
2019-05-13 09:19:38	ga_ls8c_ard_3-0-0_091068_2019-05-12_final
2019-05-20 09:25:29	ga_ls8c_ard_3-0-0_092067_2019-05-19_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