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
2013-04-17 11:10:57	ga_ls8c_ard_3-0-0_108078_2013-04-17_final
2013-04-18 10:15:20	ga_ls8c_ard_3-0-0_099078_2013-04-18_final
2013-04-18 11:54:13	ga_ls8c_ard_3-0-0_115078_2013-04-18_final
2013-04-19 09:19:42	ga_ls8c_ard_3-0-0_090078_2013-04-18_final
2013-04-19 10:58:35	ga_ls8c_ard_3-0-0_106078_2013-04-19_final
2013-04-20 10:02:57	ga_ls8c_ard_3-0-0_097078_2013-04-20_final
2013-04-20 11:41:50	ga_ls8c_ard_3-0-0_113078_2013-04-20_final
2013-04-21 10:46:13	ga_ls8c_ard_3-0-0_104078_2013-04-21_final
2013-06-16 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-06-16_final
2013-06-17 10:40:12	ga_ls8c_ard_3-0-0_103078_2013-06-17_final
2013-06-18 09:44:34	ga_ls8c_ard_3-0-0_094078_2013-06-18_final
2013-06-18 11:23:27	ga_ls8c_ard_3-0-0_110078_2013-06-18_final
2013-06-20 11:11:04	ga_ls8c_ard_3-0-0_108078_2013-06-20_final
2013-06-21 10:15:26	ga_ls8c_ard_3-0-0_099078_2013-06-21_final
2013-06-21 11:54:19	ga_ls8c_ard_3-0-0_115078_2013-06-21_final
2013-06-22 09:19:48	ga_ls8c_ard_3-0-0_090078_2013-06-21_final
2013-07-18 09:56:57	ga_ls8c_ard_3-0-0_096078_2013-07-18_final
2013-07-18 11:35:50	ga_ls8c_ard_3-0-0_112078_2013-07-18_final
2013-07-19 10:40:12	ga_ls8c_ard_3-0-0_103078_2013-07-19_final
2013-07-20 09:44:35	ga_ls8c_ard_3-0-0_094078_2013-07-20_final
2013-07-20 11:23:28	ga_ls8c_ard_3-0-0_110078_2013-07-20_final
2013-07-21 10:27:50	ga_ls8c_ard_3-0-0_101078_2013-07-21_final
2013-07-22 09:32:13	ga_ls8c_ard_3-0-0_092078_2013-07-22_final
2013-07-22 11:11:06	ga_ls8c_ard_3-0-0_108078_2013-07-22_final
2013-07-23 10:15:29	ga_ls8c_ard_3-0-0_099078_2013-07-23_final
2013-07-23 11:54:22	ga_ls8c_ard_3-0-0_115078_2013-07-23_final
2013-07-24 09:19:52	ga_ls8c_ard_3-0-0_090078_2013-07-23_final
2013-07-24 10:58:45	ga_ls8c_ard_3-0-0_106078_2013-07-24_final
2013-07-25 10:03:08	ga_ls8c_ard_3-0-0_097078_2013-07-25_final
2013-07-25 11:42:01	ga_ls8c_ard_3-0-0_113078_2013-07-25_final
2013-08-25 09:19:57	ga_ls8c_ard_3-0-0_090078_2013-08-24_final
2013-08-25 10:58:50	ga_ls8c_ard_3-0-0_106078_2013-08-25_final
2013-08-26 11:42:05	ga_ls8c_ard_3-0-0_113078_2013-08-26_final
2015-06-22 11:33:11	ga_ls8c_ard_3-0-0_112078_2015-06-22_final
2015-06-22 11:33:35	ga_ls8c_ard_3-0-0_112079_2015-06-22_final
2015-06-23 10:37:34	ga_ls8c_ard_3-0-0_103078_2015-06-23_final
2015-06-24 09:41:56	ga_ls8c_ard_3-0-0_094078_2015-06-24_final
2015-06-24 09:42:20	ga_ls8c_ard_3-0-0_094079_2015-06-24_final
2015-06-24 11:20:49	ga_ls8c_ard_3-0-0_110078_2015-06-24_final
2015-06-25 10:25:12	ga_ls8c_ard_3-0-0_101078_2015-06-25_final
2015-06-25 10:25:36	ga_ls8c_ard_3-0-0_101079_2015-06-25_final
2015-06-26 09:29:35	ga_ls8c_ard_3-0-0_092078_2015-06-25_final
2015-06-26 11:08:28	ga_ls8c_ard_3-0-0_108078_2015-06-26_final
2015-06-26 11:08:52	ga_ls8c_ard_3-0-0_108079_2015-06-26_final
2015-08-09 11:33:31	ga_ls8c_ard_3-0-0_112078_2015-08-09_final
2015-08-10 10:37:54	ga_ls8c_ard_3-0-0_103078_2015-08-10_final
2015-08-11 09:42:17	ga_ls8c_ard_3-0-0_094078_2015-08-11_final
2015-08-11 09:42:41	ga_ls8c_ard_3-0-0_094079_2015-08-11_final
2015-08-11 11:21:10	ga_ls8c_ard_3-0-0_110078_2015-08-11_final
2015-08-12 10:25:33	ga_ls8c_ard_3-0-0_101078_2015-08-12_final
2015-08-13 09:29:57	ga_ls8c_ard_3-0-0_092078_2015-08-12_final
2015-08-13 11:08:50	ga_ls8c_ard_3-0-0_108078_2015-08-13_final
2015-08-14 10:13:13	ga_ls8c_ard_3-0-0_099078_2015-08-14_final
2015-09-26 11:33:52	ga_ls8c_ard_3-0-0_112078_2015-09-26_final
2015-09-27 10:38:14	ga_ls8c_ard_3-0-0_103078_2015-09-27_final
2015-09-28 09:42:37	ga_ls8c_ard_3-0-0_094078_2015-09-28_final
2015-09-28 11:21:30	ga_ls8c_ard_3-0-0_110078_2015-09-28_final
2015-09-29 10:25:53	ga_ls8c_ard_3-0-0_101078_2015-09-29_final
2020-04-09 09:48:26	ga_ls8c_ard_3-1-0_095078_2020-04-09_final
2020-04-09 11:27:19	ga_ls8c_ard_3-1-0_111078_2020-04-09_final
2020-04-10 10:31:42	ga_ls8c_ard_3-1-0_102078_2020-04-10_final
2020-04-11 09:36:04	ga_ls8c_ard_3-1-0_093078_2020-04-11_final
2020-04-11 11:14:57	ga_ls8c_ard_3-1-0_109078_2020-04-11_final
2020-04-12 10:19:19	ga_ls8c_ard_3-1-0_100078_2020-04-12_final
2020-04-12 11:58:12	ga_ls8c_ard_3-1-0_116078_2020-04-12_final
2020-04-23 10:00:42	ga_ls8c_ard_3-1-0_097078_2020-04-23_final
2020-04-23 11:39:35	ga_ls8c_ard_3-1-0_113078_2020-04-23_final
2020-04-24 10:43:57	ga_ls8c_ard_3-1-0_104078_2020-04-24_final
2020-05-05 10:25:18	ga_ls8c_ard_3-1-0_101078_2020-05-05_final
2020-05-13 09:35:51	ga_ls8c_ard_3-1-0_093078_2020-05-13_final
2020-05-13 11:14:44	ga_ls8c_ard_3-1-0_109078_2020-05-13_final
2020-05-13 11:15:08	ga_ls8c_ard_3-1-0_109079_2020-05-13_final
2020-05-14 10:19:07	ga_ls8c_ard_3-1-0_100078_2020-05-14_final
2020-08-06 11:33:49	ga_ls8c_ard_3-1-0_112078_2020-08-06_final
2020-08-07 10:38:12	ga_ls8c_ard_3-1-0_103078_2020-08-07_final
2020-08-08 09:42:35	ga_ls8c_ard_3-1-0_094078_2020-08-08_final
2020-08-08 11:21:28	ga_ls8c_ard_3-1-0_110078_2020-08-08_final
2020-08-09 10:25:51	ga_ls8c_ard_3-1-0_101078_2020-08-09_final
2020-08-10 09:30:14	ga_ls8c_ard_3-1-0_092078_2020-08-10_final
2020-08-12 10:56:46	ga_ls8c_ard_3-1-0_106078_2020-08-12_final
2020-08-13 10:01:09	ga_ls8c_ard_3-1-0_097078_2020-08-13_final
2020-08-13 11:40:02	ga_ls8c_ard_3-1-0_113078_2020-08-13_final
2020-08-14 09:05:56	ga_ls8c_ard_3-1-0_088079_2020-08-13_final
2020-08-18 11:58:37	ga_ls8c_ard_3-1-0_116078_2020-08-18_final
2020-08-19 09:24:07	ga_ls8c_ard_3-1-0_091078_2020-08-18_final
2020-08-19 11:03:00	ga_ls8c_ard_3-1-0_107078_2020-08-19_final
2020-08-26 11:09:15	ga_ls8c_ard_3-1-0_108078_2020-08-26_final
2020-08-27 10:13:38	ga_ls8c_ard_3-1-0_099078_2020-08-27_final
2020-08-27 10:14:02	ga_ls8c_ard_3-1-0_099079_2020-08-27_final
2020-08-27 11:52:31	ga_ls8c_ard_3-1-0_115078_2020-08-27_final
2020-08-27 11:52:55	ga_ls8c_ard_3-1-0_115079_2020-08-27_final
2020-08-28 09:18:01	ga_ls8c_ard_3-1-0_090078_2020-08-27_final
2020-08-28 10:56:54	ga_ls8c_ard_3-1-0_106078_2020-08-28_final
2020-08-29 10:01:17	ga_ls8c_ard_3-1-0_097078_2020-08-29_final
2020-08-29 11:40:10	ga_ls8c_ard_3-1-0_113078_2020-08-29_final
2020-09-03 10:19:52	ga_ls8c_ard_3-1-0_100078_2020-09-03_final
2020-09-03 11:58:45	ga_ls8c_ard_3-1-0_116078_2020-09-03_final
2020-09-04 09:24:15	ga_ls8c_ard_3-1-0_091078_2020-09-03_final
2020-09-04 11:03:08	ga_ls8c_ard_3-1-0_107078_2020-09-04_final
2020-09-05 10:07:31	ga_ls8c_ard_3-1-0_098078_2020-09-05_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

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

All years