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
2014-07-03 11:41:37	ga_ls8c_ard_3-0-0_114067_2014-07-03_final
2014-07-05 11:33:16	ga_ls8c_ard_3-0-0_112077_2014-07-05_final
2014-07-05 11:33:40	ga_ls8c_ard_3-0-0_112078_2014-07-05_final
2014-07-05 11:34:04	ga_ls8c_ard_3-0-0_112079_2014-07-05_final
2014-07-05 11:34:28	ga_ls8c_ard_3-0-0_112080_2014-07-05_final
2014-07-05 11:34:52	ga_ls8c_ard_3-0-0_112081_2014-07-05_final
2014-07-05 11:35:16	ga_ls8c_ard_3-0-0_112082_2014-07-05_final
2014-12-03 11:37:50	ga_ls8c_ard_3-0-0_113072_2014-12-03_final
2014-12-03 11:38:14	ga_ls8c_ard_3-0-0_113073_2014-12-03_final
2014-12-03 11:38:38	ga_ls8c_ard_3-0-0_113074_2014-12-03_final
2014-12-03 11:39:02	ga_ls8c_ard_3-0-0_113075_2014-12-03_final
2014-12-03 11:39:26	ga_ls8c_ard_3-0-0_113076_2014-12-03_final
2014-12-03 11:39:50	ga_ls8c_ard_3-0-0_113077_2014-12-03_final
2014-12-03 11:40:13	ga_ls8c_ard_3-0-0_113078_2014-12-03_final
2014-12-05 11:29:03	ga_ls8c_ard_3-0-0_111081_2014-12-05_final
2014-12-05 11:29:27	ga_ls8c_ard_3-0-0_111082_2014-12-05_final
2014-12-05 11:29:51	ga_ls8c_ard_3-0-0_111083_2014-12-05_final
2014-12-05 11:30:14	ga_ls8c_ard_3-0-0_111084_2014-12-05_final
2014-12-12 11:33:32	ga_ls8c_ard_3-0-0_112077_2014-12-12_final
2014-12-12 11:33:56	ga_ls8c_ard_3-0-0_112078_2014-12-12_final
2014-12-12 11:34:20	ga_ls8c_ard_3-0-0_112079_2014-12-12_final
2014-12-12 11:34:44	ga_ls8c_ard_3-0-0_112080_2014-12-12_final
2014-12-12 11:35:08	ga_ls8c_ard_3-0-0_112081_2014-12-12_final
2014-12-12 11:35:32	ga_ls8c_ard_3-0-0_112082_2014-12-12_final
2015-05-05 11:32:37	ga_ls8c_ard_3-0-0_112077_2015-05-05_final
2015-05-05 11:33:01	ga_ls8c_ard_3-0-0_112078_2015-05-05_final
2015-05-05 11:33:25	ga_ls8c_ard_3-0-0_112079_2015-05-05_final
2015-05-05 11:33:49	ga_ls8c_ard_3-0-0_112080_2015-05-05_final
2015-05-05 11:34:13	ga_ls8c_ard_3-0-0_112081_2015-05-05_final
2015-05-05 11:34:37	ga_ls8c_ard_3-0-0_112082_2015-05-05_final
2015-07-06 11:41:17	ga_ls8c_ard_3-0-0_114067_2015-07-06_final
2015-08-09 11:33:07	ga_ls8c_ard_3-0-0_112077_2015-08-09_final
2015-08-09 11:33:31	ga_ls8c_ard_3-0-0_112078_2015-08-09_final
2015-08-09 11:33:55	ga_ls8c_ard_3-0-0_112079_2015-08-09_final
2015-08-09 11:34:18	ga_ls8c_ard_3-0-0_112080_2015-08-09_final
2015-08-09 11:34:42	ga_ls8c_ard_3-0-0_112081_2015-08-09_final
2015-08-09 11:35:06	ga_ls8c_ard_3-0-0_112082_2015-08-09_final
2015-10-03 11:37:40	ga_ls8c_ard_3-0-0_113072_2015-10-03_final
2015-10-03 11:38:04	ga_ls8c_ard_3-1-0_113073_2015-10-03_final
2015-10-03 11:38:28	ga_ls8c_ard_3-0-0_113074_2015-10-03_final
2015-10-03 11:38:52	ga_ls8c_ard_3-0-0_113075_2015-10-03_final
2015-10-03 11:39:16	ga_ls8c_ard_3-0-0_113076_2015-10-03_final
2015-10-03 11:39:40	ga_ls8c_ard_3-0-0_113077_2015-10-03_final
2015-10-03 11:40:04	ga_ls8c_ard_3-0-0_113078_2015-10-03_final
2015-11-29 11:33:37	ga_ls8c_ard_3-0-0_112077_2015-11-29_final
2015-11-29 11:34:01	ga_ls8c_ard_3-0-0_112078_2015-11-29_final
2015-11-29 11:34:25	ga_ls8c_ard_3-0-0_112079_2015-11-29_final
2015-11-29 11:34:49	ga_ls8c_ard_3-0-0_112080_2015-11-29_final
2015-11-29 11:35:13	ga_ls8c_ard_3-0-0_112081_2015-11-29_final
2015-11-29 11:35:37	ga_ls8c_ard_3-0-0_112082_2015-11-29_final
2017-10-19 11:24:36	ga_ls8c_ard_3-0-0_110085_2017-10-19_final
2017-11-04 11:24:35	ga_ls8c_ard_3-0-0_110085_2017-11-04_final
2017-12-22 11:24:30	ga_ls8c_ard_3-0-0_110085_2017-12-22_final
2019-12-17 11:37:56	ga_ls8c_ard_3-2-0_113072_2019-12-17_final
2019-12-17 11:38:20	ga_ls8c_ard_3-2-0_113073_2019-12-17_final
2019-12-17 11:38:44	ga_ls8c_ard_3-2-0_113074_2019-12-17_final
2019-12-17 11:39:08	ga_ls8c_ard_3-2-0_113075_2019-12-17_final
2019-12-17 11:39:32	ga_ls8c_ard_3-2-0_113076_2019-12-17_final
2019-12-17 11:39:56	ga_ls8c_ard_3-2-0_113077_2019-12-17_final
2019-12-17 11:40:20	ga_ls8c_ard_3-2-0_113078_2019-12-17_final
2019-12-19 11:29:10	ga_ls8c_ard_3-2-0_111081_2019-12-19_final
2019-12-19 11:29:34	ga_ls8c_ard_3-2-0_111082_2019-12-19_final
2019-12-19 11:29:58	ga_ls8c_ard_3-2-0_111083_2019-12-19_final
2019-12-19 11:30:21	ga_ls8c_ard_3-2-0_111084_2019-12-19_final
2019-12-19 11:30:45	ga_ls8c_ard_3-2-0_111085_2019-12-19_final
2020-02-14 11:24:20	ga_ls8c_ard_3-1-0_110085_2020-02-14_final
2021-05-07 11:23:47	ga_ls8c_ard_3-2-0_110085_2021-05-07_final
2021-05-12 11:37:12	ga_ls8c_ard_3-2-0_113072_2021-05-12_final
2021-05-12 11:37:36	ga_ls8c_ard_3-2-0_113073_2021-05-12_final
2021-05-12 11:38:00	ga_ls8c_ard_3-2-0_113074_2021-05-12_final
2021-05-12 11:38:24	ga_ls8c_ard_3-2-0_113075_2021-05-12_final
2021-05-12 11:38:48	ga_ls8c_ard_3-2-0_113076_2021-05-12_final
2021-05-12 11:39:12	ga_ls8c_ard_3-2-0_113077_2021-05-12_final
2021-05-12 11:39:35	ga_ls8c_ard_3-2-0_113078_2021-05-12_final
2021-06-24 11:24:10	ga_ls8c_ard_3-2-0_110085_2021-06-24_final
2021-06-29 11:37:32	ga_ls8c_ard_3-2-0_113072_2021-06-29_final
2021-06-29 11:37:56	ga_ls8c_ard_3-2-0_113073_2021-06-29_final
2021-06-29 11:38:20	ga_ls8c_ard_3-2-0_113074_2021-06-29_final
2021-06-29 11:38:44	ga_ls8c_ard_3-2-0_113075_2021-06-29_final
2021-06-29 11:39:08	ga_ls8c_ard_3-2-0_113076_2021-06-29_final
2021-06-29 11:39:32	ga_ls8c_ard_3-2-0_113077_2021-06-29_final
2021-06-29 11:39:56	ga_ls8c_ard_3-2-0_113078_2021-06-29_final
2021-07-01 11:28:46	ga_ls8c_ard_3-2-0_111081_2021-07-01_final
2021-07-01 11:29:10	ga_ls8c_ard_3-2-0_111082_2021-07-01_final
2021-07-01 11:29:34	ga_ls8c_ard_3-2-0_111083_2021-07-01_final
2021-07-01 11:29:58	ga_ls8c_ard_3-2-0_111084_2021-07-01_final
2021-07-01 11:30:22	ga_ls8c_ard_3-2-0_111085_2021-07-01_final
2021-07-06 11:41:44	ga_ls8c_ard_3-2-0_114067_2021-07-06_final
2021-07-08 11:33:22	ga_ls8c_ard_3-2-0_112077_2021-07-08_final
2021-07-08 11:33:46	ga_ls8c_ard_3-2-0_112078_2021-07-08_final
2021-07-08 11:34:10	ga_ls8c_ard_3-2-0_112079_2021-07-08_final
2021-07-08 11:34:34	ga_ls8c_ard_3-2-0_112080_2021-07-08_final
2021-07-08 11:34:58	ga_ls8c_ard_3-2-0_112081_2021-07-08_final
2021-07-08 11:35:22	ga_ls8c_ard_3-2-0_112082_2021-07-08_final
2021-07-10 11:24:12	ga_ls8c_ard_3-2-0_110085_2021-07-10_final
2021-07-24 11:33:27	ga_ls8c_ard_3-2-0_112077_2021-07-24_final
2021-07-24 11:33:51	ga_ls8c_ard_3-2-0_112078_2021-07-24_final
2021-07-24 11:34:15	ga_ls8c_ard_3-2-0_112079_2021-07-24_final
2021-07-24 11:34:39	ga_ls8c_ard_3-2-0_112080_2021-07-24_final
2021-07-24 11:35:03	ga_ls8c_ard_3-2-0_112081_2021-07-24_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