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
2013-05-03 09:27:40	ga_ls8c_ard_3-0-0_092067_2013-05-02_final
2013-07-24 09:19:28	ga_ls8c_ard_3-0-0_090077_2013-07-23_final
2013-07-24 09:19:52	ga_ls8c_ard_3-0-0_090078_2013-07-23_final
2013-07-24 09:20:16	ga_ls8c_ard_3-0-0_090079_2013-07-23_final
2013-07-26 09:09:07	ga_ls8c_ard_3-0-0_088082_2013-07-25_final
2013-08-02 09:13:43	ga_ls8c_ard_3-0-0_089078_2013-08-01_final
2013-08-02 09:14:07	ga_ls8c_ard_3-0-0_089079_2013-08-01_final
2013-08-02 09:14:31	ga_ls8c_ard_3-0-0_089080_2013-08-01_final
2013-08-02 09:14:55	ga_ls8c_ard_3-0-0_089081_2013-08-01_final
2013-08-02 09:15:19	ga_ls8c_ard_3-0-0_089082_2013-08-01_final
2013-08-02 09:15:43	ga_ls8c_ard_3-0-0_089083_2013-08-01_final
2014-02-19 09:07:57	ga_ls8c_ard_3-0-0_088082_2014-02-18_final
2014-02-26 09:12:01	ga_ls8c_ard_3-0-0_089077_2014-02-25_final
2014-02-26 09:12:25	ga_ls8c_ard_3-0-0_089078_2014-02-25_final
2014-02-26 09:12:49	ga_ls8c_ard_3-0-0_089079_2014-02-25_final
2014-02-26 09:13:13	ga_ls8c_ard_3-0-0_089080_2014-02-25_final
2014-02-26 09:13:37	ga_ls8c_ard_3-0-0_089081_2014-02-25_final
2014-02-26 09:14:01	ga_ls8c_ard_3-0-0_089082_2014-02-25_final
2014-02-26 09:14:25	ga_ls8c_ard_3-0-0_089083_2014-02-25_final
2014-04-29 09:19:52	ga_ls8c_ard_3-0-0_091068_2014-04-28_final
2014-05-17 09:10:51	ga_ls8c_ard_3-0-0_089077_2014-05-16_final
2014-05-17 09:11:15	ga_ls8c_ard_3-0-0_089078_2014-05-16_final
2014-05-17 09:11:39	ga_ls8c_ard_3-0-0_089079_2014-05-16_final
2014-05-17 09:12:02	ga_ls8c_ard_3-0-0_089080_2014-05-16_final
2014-05-17 09:12:26	ga_ls8c_ard_3-0-0_089081_2014-05-16_final
2014-05-17 09:12:50	ga_ls8c_ard_3-0-0_089082_2014-05-16_final
2014-05-17 09:13:14	ga_ls8c_ard_3-0-0_089083_2014-05-16_final
2014-05-22 09:25:22	ga_ls8c_ard_3-0-0_092067_2014-05-21_final
2014-05-22 09:25:46	ga_ls8c_ard_3-0-0_092068_2014-05-21_final
2014-06-07 09:25:32	ga_ls8c_ard_3-0-0_092067_2014-06-06_final
2014-06-07 09:25:56	ga_ls8c_ard_3-0-0_092068_2014-06-06_final
2014-06-09 09:16:46	ga_ls8c_ard_3-0-0_090076_2014-06-08_final
2014-06-09 09:17:10	ga_ls8c_ard_3-0-0_090077_2014-06-08_final
2014-06-09 09:17:34	ga_ls8c_ard_3-0-0_090078_2014-06-08_final
2014-06-09 09:17:58	ga_ls8c_ard_3-0-0_090079_2014-06-08_final
2014-06-11 09:06:25	ga_ls8c_ard_3-1-0_088081_2014-06-10_final
2014-06-11 09:06:49	ga_ls8c_ard_3-0-0_088082_2014-06-10_final
2014-07-02 09:19:52	ga_ls8c_ard_3-0-0_091068_2014-07-01_final
2014-07-04 09:11:07	ga_ls8c_ard_3-0-0_089077_2014-07-03_final
2014-07-04 09:11:31	ga_ls8c_ard_3-0-0_089078_2014-07-03_final
2014-07-04 09:11:55	ga_ls8c_ard_3-0-0_089079_2014-07-03_final
2014-07-04 09:12:19	ga_ls8c_ard_3-0-0_089080_2014-07-03_final
2014-07-04 09:12:43	ga_ls8c_ard_3-0-0_089081_2014-07-03_final
2014-07-04 09:13:07	ga_ls8c_ard_3-0-0_089082_2014-07-03_final
2014-07-04 09:13:31	ga_ls8c_ard_3-0-0_089083_2014-07-03_final
2016-08-15 09:25:56	ga_ls8c_ard_3-0-0_092067_2016-08-14_final
2016-08-15 09:26:20	ga_ls8c_ard_3-0-0_092068_2016-08-14_final
2016-08-31 09:26:03	ga_ls8c_ard_3-0-0_092067_2016-08-30_final
2016-08-31 09:26:27	ga_ls8c_ard_3-0-0_092068_2016-08-30_final
2016-09-18 09:16:32	ga_ls8c_ard_3-0-0_090074_2016-09-17_final
2016-09-18 09:16:56	ga_ls8c_ard_3-0-0_090075_2016-09-17_final
2016-09-18 09:17:20	ga_ls8c_ard_3-0-0_090076_2016-09-17_final
2016-09-18 09:17:44	ga_ls8c_ard_3-0-0_090077_2016-09-17_final
2016-09-18 09:18:08	ga_ls8c_ard_3-0-0_090078_2016-09-17_final
2016-09-18 09:18:32	ga_ls8c_ard_3-0-0_090079_2016-09-17_final
2016-10-29 09:11:40	ga_ls8c_ard_3-0-0_089077_2016-10-28_final
2016-10-29 09:12:04	ga_ls8c_ard_3-0-0_089078_2016-10-28_final
2016-10-29 09:12:28	ga_ls8c_ard_3-0-0_089079_2016-10-28_final
2016-10-29 09:12:52	ga_ls8c_ard_3-0-0_089080_2016-10-28_final
2016-10-29 09:13:16	ga_ls8c_ard_3-0-0_089081_2016-10-28_final
2016-10-29 09:13:40	ga_ls8c_ard_3-0-0_089082_2016-10-28_final
2016-10-29 09:14:04	ga_ls8c_ard_3-0-0_089083_2016-10-28_final
2016-11-05 09:16:38	ga_ls8c_ard_3-0-0_090074_2016-11-04_final
2016-11-05 09:17:02	ga_ls8c_ard_3-0-0_090075_2016-11-04_final
2016-11-05 09:17:26	ga_ls8c_ard_3-0-0_090076_2016-11-04_final
2016-11-05 09:17:50	ga_ls8c_ard_3-0-0_090077_2016-11-04_final
2016-11-05 09:18:14	ga_ls8c_ard_3-0-0_090078_2016-11-04_final
2016-11-05 09:18:38	ga_ls8c_ard_3-0-0_090079_2016-11-04_final
2018-10-10 09:16:06	ga_ls8c_ard_3-0-0_090074_2018-10-09_final
2018-10-10 09:16:30	ga_ls8c_ard_3-0-0_090075_2018-10-09_final
2018-10-10 09:16:54	ga_ls8c_ard_3-0-0_090076_2018-10-09_final
2018-10-10 09:17:18	ga_ls8c_ard_3-0-0_090077_2018-10-09_final
2018-10-10 09:17:42	ga_ls8c_ard_3-0-0_090078_2018-10-09_final
2018-10-10 09:18:06	ga_ls8c_ard_3-0-0_090079_2018-10-09_final
2018-10-12 09:06:33	ga_ls8c_ard_3-0-0_088081_2018-10-11_final
2018-10-12 09:06:57	ga_ls8c_ard_3-0-0_088082_2018-10-11_final
2018-10-12 09:07:21	ga_ls8c_ard_3-0-0_088083_2018-10-11_final
2018-10-12 09:07:45	ga_ls8c_ard_3-0-0_088084_2018-10-11_final
2018-11-11 09:16:14	ga_ls8c_ard_3-0-0_090074_2018-11-10_final
2018-11-11 09:16:38	ga_ls8c_ard_3-0-0_090075_2018-11-10_final
2018-11-11 09:17:02	ga_ls8c_ard_3-0-0_090076_2018-11-10_final
2018-11-11 09:17:26	ga_ls8c_ard_3-0-0_090077_2018-11-10_final
2018-11-11 09:17:50	ga_ls8c_ard_3-0-0_090078_2018-11-10_final
2018-11-11 09:18:14	ga_ls8c_ard_3-0-0_090079_2018-11-10_final
2018-11-13 09:06:40	ga_ls8c_ard_3-1-0_088081_2018-11-12_final
2018-11-13 09:07:04	ga_ls8c_ard_3-0-0_088082_2018-11-12_final
2018-11-13 09:07:28	ga_ls8c_ard_3-0-0_088083_2018-11-12_final
2018-11-13 09:07:52	ga_ls8c_ard_3-0-0_088084_2018-11-12_final
2018-12-13 09:16:10	ga_ls8c_ard_3-0-0_090074_2018-12-12_final
2018-12-13 09:16:34	ga_ls8c_ard_3-0-0_090075_2018-12-12_final
2018-12-13 09:16:58	ga_ls8c_ard_3-0-0_090076_2018-12-12_final
2018-12-13 09:17:22	ga_ls8c_ard_3-0-0_090077_2018-12-12_final
2018-12-15 09:07:00	ga_ls8c_ard_3-0-0_088082_2018-12-14_final
2018-12-15 09:07:24	ga_ls8c_ard_3-0-0_088083_2018-12-14_final
2018-12-15 09:07:48	ga_ls8c_ard_3-0-0_088084_2018-12-14_final
2019-01-14 09:16:08	ga_ls8c_ard_3-0-0_090074_2019-01-13_final
2019-01-14 09:16:32	ga_ls8c_ard_3-0-0_090075_2019-01-13_final
2019-01-14 09:16:56	ga_ls8c_ard_3-0-0_090076_2019-01-13_final
2019-01-14 09:17:20	ga_ls8c_ard_3-0-0_090077_2019-01-13_final
2019-01-14 09:17:44	ga_ls8c_ard_3-0-0_090078_2019-01-13_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