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
2014-12-02 09:17:17	ga_ls8c_ard_3-0-0_090076_2014-12-01_final
2014-12-02 09:17:41	ga_ls8c_ard_3-0-0_090077_2014-12-01_final
2014-12-02 09:18:05	ga_ls8c_ard_3-0-0_090078_2014-12-01_final
2014-12-02 09:18:29	ga_ls8c_ard_3-0-0_090079_2014-12-01_final
2014-12-02 09:18:53	ga_ls8c_ard_3-0-0_090080_2014-12-01_final
2014-12-02 09:19:17	ga_ls8c_ard_3-0-0_090081_2014-12-01_final
2014-12-02 09:19:41	ga_ls8c_ard_3-0-0_090082_2014-12-01_final
2014-12-18 09:17:13	ga_ls8c_ard_3-0-0_090076_2014-12-17_final
2014-12-18 09:17:37	ga_ls8c_ard_3-0-0_090077_2014-12-17_final
2014-12-18 09:18:01	ga_ls8c_ard_3-0-0_090078_2014-12-17_final
2014-12-18 09:18:25	ga_ls8c_ard_3-0-0_090079_2014-12-17_final
2014-12-18 09:18:49	ga_ls8c_ard_3-0-0_090080_2014-12-17_final
2014-12-18 09:19:13	ga_ls8c_ard_3-0-0_090081_2014-12-17_final
2014-12-18 09:19:37	ga_ls8c_ard_3-0-0_090082_2014-12-17_final
2015-02-18 09:27:40	ga_ls8c_ard_3-0-0_092072_2015-02-17_final
2015-02-18 09:28:04	ga_ls8c_ard_3-0-0_092073_2015-02-17_final
2015-02-20 09:16:55	ga_ls8c_ard_3-0-0_090076_2015-02-19_final
2015-02-20 09:17:19	ga_ls8c_ard_3-0-0_090077_2015-02-19_final
2015-02-20 09:17:43	ga_ls8c_ard_3-0-0_090078_2015-02-19_final
2015-02-20 09:18:06	ga_ls8c_ard_3-0-0_090079_2015-02-19_final
2015-02-20 09:18:30	ga_ls8c_ard_3-0-0_090080_2015-02-19_final
2015-02-20 09:18:54	ga_ls8c_ard_3-0-0_090081_2015-02-19_final
2015-02-20 09:19:18	ga_ls8c_ard_3-0-0_090082_2015-02-19_final
2015-03-06 09:25:35	ga_ls8c_ard_3-0-0_092067_2015-03-05_final
2015-03-06 09:25:59	ga_ls8c_ard_3-0-0_092068_2015-03-05_final
2015-03-06 09:27:11	ga_ls8c_ard_3-0-0_092071_2015-03-05_final
2015-03-06 09:27:35	ga_ls8c_ard_3-0-0_092072_2015-03-05_final
2015-03-06 09:27:59	ga_ls8c_ard_3-0-0_092073_2015-03-05_final
2015-03-15 09:22:05	ga_ls8c_ard_3-0-0_091074_2015-03-14_final
2015-03-15 09:22:28	ga_ls8c_ard_3-0-0_091075_2015-03-14_final
2015-03-15 09:22:52	ga_ls8c_ard_3-0-0_091076_2015-03-14_final
2015-03-15 09:23:16	ga_ls8c_ard_3-0-0_091077_2015-03-14_final
2015-03-17 09:12:30	ga_ls8c_ard_3-0-0_089081_2015-03-16_final
2015-03-17 09:12:54	ga_ls8c_ard_3-0-0_089082_2015-03-16_final
2015-03-17 09:13:18	ga_ls8c_ard_3-0-0_089083_2015-03-16_final
2015-03-17 09:13:42	ga_ls8c_ard_3-0-0_089084_2015-03-16_final
2015-03-17 09:14:06	ga_ls8c_ard_3-0-0_089085_2015-03-16_final
2015-03-17 09:14:30	ga_ls8c_ard_3-0-0_089086_2015-03-16_final
2015-09-05 09:31:53	ga_ls8c_ard_3-0-0_093067_2015-09-05_final
2015-09-05 09:32:17	ga_ls8c_ard_3-0-0_093068_2015-09-05_final
2015-09-14 09:25:47	ga_ls8c_ard_3-0-0_092067_2015-09-13_final
2015-09-14 09:26:11	ga_ls8c_ard_3-0-0_092068_2015-09-13_final
2015-10-18 09:17:07	ga_ls8c_ard_3-0-0_090076_2015-10-17_final
2015-10-18 09:17:31	ga_ls8c_ard_3-0-0_090077_2015-10-17_final
2015-10-18 09:17:55	ga_ls8c_ard_3-0-0_090078_2015-10-17_final
2015-10-18 09:18:19	ga_ls8c_ard_3-0-0_090079_2015-10-17_final
2015-10-18 09:18:43	ga_ls8c_ard_3-0-0_090080_2015-10-17_final
2015-10-18 09:19:07	ga_ls8c_ard_3-0-0_090081_2015-10-17_final
2015-10-18 09:19:31	ga_ls8c_ard_3-0-0_090082_2015-10-17_final
2015-11-17 09:26:00	ga_ls8c_ard_3-0-0_092067_2015-11-16_final
2015-11-17 09:26:24	ga_ls8c_ard_3-0-0_092068_2015-11-16_final
2015-11-24 09:32:12	ga_ls8c_ard_3-0-0_093067_2015-11-24_final
2015-11-24 09:32:36	ga_ls8c_ard_3-0-0_093068_2015-11-24_final
2015-12-05 09:17:14	ga_ls8c_ard_3-0-0_090076_2015-12-04_final
2015-12-05 09:17:38	ga_ls8c_ard_3-0-0_090077_2015-12-04_final
2015-12-05 09:18:02	ga_ls8c_ard_3-0-0_090078_2015-12-04_final
2015-12-05 09:18:26	ga_ls8c_ard_3-0-0_090079_2015-12-04_final
2015-12-05 09:18:50	ga_ls8c_ard_3-0-0_090080_2015-12-04_final
2015-12-05 09:19:14	ga_ls8c_ard_3-0-0_090081_2015-12-04_final
2015-12-05 09:19:38	ga_ls8c_ard_3-0-0_090082_2015-12-04_final
2015-12-23 09:08:04	ga_ls8c_ard_3-0-0_088084_2015-12-22_final
2015-12-30 09:13:02	ga_ls8c_ard_3-0-0_089081_2015-12-29_final
2015-12-30 09:13:26	ga_ls8c_ard_3-0-0_089082_2015-12-29_final
2015-12-30 09:13:50	ga_ls8c_ard_3-0-0_089083_2015-12-29_final
2015-12-30 09:14:14	ga_ls8c_ard_3-0-0_089084_2015-12-29_final
2015-12-30 09:14:38	ga_ls8c_ard_3-0-0_089085_2015-12-29_final
2015-12-30 09:15:02	ga_ls8c_ard_3-0-0_089086_2015-12-29_final
2016-01-20 09:25:57	ga_ls8c_ard_3-0-0_092067_2016-01-19_final
2016-01-20 09:26:21	ga_ls8c_ard_3-0-0_092068_2016-01-19_final
2016-01-20 09:27:33	ga_ls8c_ard_3-0-0_092071_2016-01-19_final
2016-01-20 09:27:57	ga_ls8c_ard_3-0-0_092072_2016-01-19_final
2016-01-20 09:28:21	ga_ls8c_ard_3-0-0_092073_2016-01-19_final
2016-02-05 09:25:54	ga_ls8c_ard_3-0-0_092067_2016-02-04_final
2016-02-05 09:26:18	ga_ls8c_ard_3-0-0_092068_2016-02-04_final
2016-02-05 09:27:30	ga_ls8c_ard_3-0-0_092071_2016-02-04_final
2016-02-05 09:27:54	ga_ls8c_ard_3-0-0_092072_2016-02-04_final
2016-02-05 09:28:17	ga_ls8c_ard_3-0-0_092073_2016-02-04_final
2016-03-08 09:25:45	ga_ls8c_ard_3-0-0_092067_2016-03-07_final
2016-03-08 09:26:09	ga_ls8c_ard_3-0-0_092068_2016-03-07_final
2016-03-08 09:27:20	ga_ls8c_ard_3-0-0_092071_2016-03-07_final
2016-03-08 09:27:44	ga_ls8c_ard_3-0-0_092072_2016-03-07_final
2016-03-08 09:28:08	ga_ls8c_ard_3-0-0_092073_2016-03-07_final
2016-03-24 09:25:37	ga_ls8c_ard_3-0-0_092067_2016-03-23_final
2016-03-24 09:26:01	ga_ls8c_ard_3-0-0_092068_2016-03-23_final
2016-03-24 09:27:13	ga_ls8c_ard_3-0-0_092071_2016-03-23_final
2016-03-24 09:27:36	ga_ls8c_ard_3-0-0_092072_2016-03-23_final
2016-03-24 09:28:00	ga_ls8c_ard_3-0-0_092073_2016-03-23_final
2016-04-20 09:12:28	ga_ls8c_ard_3-0-0_089081_2016-04-19_final
2016-04-20 09:12:52	ga_ls8c_ard_3-0-0_089082_2016-04-19_final
2016-04-20 09:13:16	ga_ls8c_ard_3-0-0_089083_2016-04-19_final
2016-04-20 09:13:39	ga_ls8c_ard_3-0-0_089084_2016-04-19_final
2016-04-20 09:14:03	ga_ls8c_ard_3-0-0_089085_2016-04-19_final
2016-04-20 09:14:27	ga_ls8c_ard_3-0-0_089086_2016-04-19_final
2018-09-22 09:25:31	ga_ls8c_ard_3-0-0_092067_2018-09-21_final
2018-09-22 09:25:55	ga_ls8c_ard_3-0-0_092068_2018-09-21_final
2018-11-25 09:25:48	ga_ls8c_ard_3-0-0_092067_2018-11-24_final
2018-11-25 09:26:12	ga_ls8c_ard_3-0-0_092068_2018-11-24_final
2018-12-11 09:25:45	ga_ls8c_ard_3-0-0_092067_2018-12-10_final
2018-12-11 09:26:09	ga_ls8c_ard_3-0-0_092068_2018-12-10_final
2019-01-12 09:25:43	ga_ls8c_ard_3-0-0_092067_2019-01-11_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