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
2013-06-16 11:33:26	ga_ls8c_ard_3-0-0_112072_2013-06-16_final
2013-06-16 11:33:50	ga_ls8c_ard_3-0-0_112073_2013-06-16_final
2013-06-16 11:34:14	ga_ls8c_ard_3-0-0_112074_2013-06-16_final
2013-06-25 11:29:13	ga_ls8c_ard_3-0-0_111077_2013-06-25_final
2013-06-25 11:29:37	ga_ls8c_ard_3-0-0_111078_2013-06-25_final
2013-06-25 11:30:01	ga_ls8c_ard_3-0-0_111079_2013-06-25_final
2013-06-27 11:18:52	ga_ls8c_ard_3-0-0_109082_2013-06-27_final
2013-06-27 11:19:16	ga_ls8c_ard_3-0-0_109083_2013-06-27_final
2013-06-27 11:19:40	ga_ls8c_ard_3-0-0_109084_2013-06-27_final
2013-11-02 11:18:39	ga_ls8c_ard_3-0-0_109082_2013-11-02_final
2013-11-02 11:19:03	ga_ls8c_ard_3-0-0_109083_2013-11-02_final
2013-11-02 11:19:27	ga_ls8c_ard_3-0-0_109084_2013-11-02_final
2015-12-01 11:21:39	ga_ls8c_ard_3-0-0_110078_2015-12-01_final
2015-12-01 11:22:03	ga_ls8c_ard_3-0-0_110079_2015-12-01_final
2015-12-01 11:22:27	ga_ls8c_ard_3-0-0_110080_2015-12-01_final
2015-12-01 11:22:51	ga_ls8c_ard_3-0-0_110081_2015-12-01_final
2015-12-01 11:23:15	ga_ls8c_ard_3-0-0_110082_2015-12-01_final
2015-12-01 11:23:39	ga_ls8c_ard_3-0-0_110083_2015-12-01_final
2015-12-24 11:25:49	ga_ls8c_ard_3-0-0_111073_2015-12-24_final
2015-12-24 11:26:13	ga_ls8c_ard_3-0-0_111074_2015-12-24_final
2015-12-24 11:26:37	ga_ls8c_ard_3-0-0_111075_2015-12-24_final
2015-12-24 11:27:01	ga_ls8c_ard_3-0-0_111076_2015-12-24_final
2015-12-24 11:27:25	ga_ls8c_ard_3-0-0_111077_2015-12-24_final
2015-12-24 11:27:49	ga_ls8c_ard_3-0-0_111078_2015-12-24_final
2015-12-24 11:28:13	ga_ls8c_ard_3-0-0_111079_2015-12-24_final
2016-01-09 11:25:45	ga_ls8c_ard_3-0-0_111073_2016-01-09_final
2016-01-09 11:26:09	ga_ls8c_ard_3-0-0_111074_2016-01-09_final
2016-01-09 11:26:33	ga_ls8c_ard_3-0-0_111075_2016-01-09_final
2016-01-09 11:26:57	ga_ls8c_ard_3-0-0_111076_2016-01-09_final
2016-01-09 11:27:21	ga_ls8c_ard_3-0-0_111077_2016-01-09_final
2016-01-09 11:27:45	ga_ls8c_ard_3-0-0_111078_2016-01-09_final
2016-01-09 11:28:09	ga_ls8c_ard_3-0-0_111079_2016-01-09_final
2016-01-27 11:16:59	ga_ls8c_ard_3-0-0_109082_2016-01-27_final
2016-01-27 11:17:23	ga_ls8c_ard_3-0-0_109083_2016-01-27_final
2016-01-27 11:17:47	ga_ls8c_ard_3-0-0_109084_2016-01-27_final
2016-01-27 11:18:11	ga_ls8c_ard_3-0-0_109085_2016-01-27_final
2016-05-09 11:20:40	ga_ls8c_ard_3-0-0_110077_2016-05-09_final
2016-05-09 11:21:04	ga_ls8c_ard_3-0-0_110078_2016-05-09_final
2016-05-09 11:21:28	ga_ls8c_ard_3-0-0_110079_2016-05-09_final
2016-05-09 11:21:52	ga_ls8c_ard_3-0-0_110080_2016-05-09_final
2016-05-09 11:22:16	ga_ls8c_ard_3-0-0_110081_2016-05-09_final
2016-05-09 11:22:40	ga_ls8c_ard_3-0-0_110082_2016-05-09_final
2016-05-09 11:23:04	ga_ls8c_ard_3-0-0_110083_2016-05-09_final
2018-02-17 11:16:43	ga_ls8c_ard_3-0-0_109082_2018-02-17_final
2018-02-17 11:17:07	ga_ls8c_ard_3-0-0_109083_2018-02-17_final
2018-02-17 11:17:31	ga_ls8c_ard_3-0-0_109084_2018-02-17_final
2018-02-17 11:17:55	ga_ls8c_ard_3-0-0_109085_2018-02-17_final
2018-04-18 11:34:56	ga_ls8c_ard_3-0-0_113067_2018-04-18_final
2018-04-20 11:24:57	ga_ls8c_ard_3-0-0_111073_2018-04-20_final
2018-04-20 11:25:21	ga_ls8c_ard_3-0-0_111074_2018-04-20_final
2018-04-20 11:25:45	ga_ls8c_ard_3-0-0_111075_2018-04-20_final
2018-04-20 11:26:09	ga_ls8c_ard_3-0-0_111076_2018-04-20_final
2018-04-20 11:26:33	ga_ls8c_ard_3-0-0_111077_2018-04-20_final
2018-04-20 11:26:57	ga_ls8c_ard_3-0-0_111078_2018-04-20_final
2018-04-20 11:27:20	ga_ls8c_ard_3-0-0_111079_2018-04-20_final
2018-05-20 11:34:36	ga_ls8c_ard_3-0-0_113067_2018-05-20_final
2018-06-05 11:34:26	ga_ls8c_ard_3-0-0_113067_2018-06-05_final
2018-06-23 11:24:40	ga_ls8c_ard_3-0-0_111073_2018-06-23_final
2018-06-23 11:25:04	ga_ls8c_ard_3-0-0_111074_2018-06-23_final
2018-06-23 11:25:28	ga_ls8c_ard_3-0-0_111075_2018-06-23_final
2018-06-23 11:25:52	ga_ls8c_ard_3-0-0_111076_2018-06-23_final
2018-06-23 11:26:16	ga_ls8c_ard_3-0-0_111077_2018-06-23_final
2018-06-23 11:26:40	ga_ls8c_ard_3-0-0_111078_2018-06-23_final
2018-06-23 11:27:03	ga_ls8c_ard_3-0-0_111079_2018-06-23_final
2019-09-05 11:30:29	ga_ls8c_ard_3-1-0_112069_2019-09-05_final
2019-09-05 11:30:53	ga_ls8c_ard_3-1-0_112070_2019-09-05_final
2019-09-05 11:31:17	ga_ls8c_ard_3-1-0_112071_2019-09-05_final
2019-09-05 11:31:41	ga_ls8c_ard_3-1-0_112072_2019-09-05_final
2019-10-09 11:21:53	ga_ls8c_ard_3-1-0_110078_2019-10-09_final
2019-10-09 11:22:17	ga_ls8c_ard_3-1-0_110079_2019-10-09_final
2019-10-09 11:22:41	ga_ls8c_ard_3-1-0_110080_2019-10-09_final
2019-10-09 11:23:05	ga_ls8c_ard_3-1-0_110081_2019-10-09_final
2019-10-09 11:23:29	ga_ls8c_ard_3-1-0_110082_2019-10-09_final
2019-10-09 11:23:52	ga_ls8c_ard_3-1-0_110083_2019-10-09_final
2019-10-11 11:12:19	ga_ls8c_ard_3-1-0_108085_2019-10-11_final
2019-12-01 11:35:58	ga_ls8c_ard_3-1-0_113067_2019-12-01_final
2019-12-03 11:26:00	ga_ls8c_ard_3-1-0_111073_2019-12-03_final
2019-12-03 11:26:24	ga_ls8c_ard_3-1-0_111074_2019-12-03_final
2019-12-03 11:26:48	ga_ls8c_ard_3-1-0_111075_2019-12-03_final
2019-12-03 11:27:12	ga_ls8c_ard_3-1-0_111076_2019-12-03_final
2019-12-03 11:27:36	ga_ls8c_ard_3-1-0_111077_2019-12-03_final
2019-12-03 11:28:00	ga_ls8c_ard_3-1-0_111078_2019-12-03_final
2019-12-03 11:28:24	ga_ls8c_ard_3-1-0_111079_2019-12-03_final
2020-02-12 11:30:19	ga_ls8c_ard_3-1-0_112069_2020-02-12_final
2020-02-12 11:30:43	ga_ls8c_ard_3-1-0_112070_2020-02-12_final
2020-02-12 11:31:07	ga_ls8c_ard_3-1-0_112071_2020-02-12_final
2020-02-12 11:31:31	ga_ls8c_ard_3-1-0_112072_2020-02-12_final
2020-02-12 11:31:55	ga_ls8c_ard_3-1-0_112073_2020-02-12_final
2020-02-12 11:32:19	ga_ls8c_ard_3-1-0_112074_2020-02-12_final
2020-02-28 11:30:15	ga_ls8c_ard_3-1-0_112069_2020-02-28_final
2020-02-28 11:30:39	ga_ls8c_ard_3-1-0_112070_2020-02-28_final
2020-02-28 11:31:02	ga_ls8c_ard_3-1-0_112071_2020-02-28_final
2020-02-28 11:31:26	ga_ls8c_ard_3-1-0_112072_2020-02-28_final
2020-02-28 11:31:50	ga_ls8c_ard_3-1-0_112073_2020-02-28_final
2020-02-28 11:32:14	ga_ls8c_ard_3-1-0_112074_2020-02-28_final
2020-03-15 11:30:08	ga_ls8c_ard_3-1-0_112069_2020-03-15_final
2020-03-15 11:30:32	ga_ls8c_ard_3-1-0_112070_2020-03-15_final
2020-03-15 11:30:56	ga_ls8c_ard_3-1-0_112071_2020-03-15_final
2020-03-15 11:31:20	ga_ls8c_ard_3-1-0_112072_2020-03-15_final
2020-03-15 11:31:44	ga_ls8c_ard_3-1-0_112073_2020-03-15_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