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
2013-04-10 11:11:28	ga_ls8c_ard_3-0-0_108084_2013-04-10_final
2013-04-11 10:13:49	ga_ls8c_ard_3-0-0_098084_2013-04-11_final
2013-05-31 09:59:26	ga_ls8c_ard_3-0-0_096084_2013-05-31_final
2013-05-31 11:38:19	ga_ls8c_ard_3-0-0_112084_2013-05-31_final
2013-06-02 09:47:04	ga_ls8c_ard_3-0-0_094084_2013-06-02_final
2013-06-04 09:34:42	ga_ls8c_ard_3-0-0_092084_2013-06-04_final
2013-07-07 10:17:30	ga_ls8c_ard_3-0-0_099083_2013-07-07_final
2013-07-07 10:17:54	ga_ls8c_ard_3-0-0_099084_2013-07-07_final
2013-07-08 09:22:17	ga_ls8c_ard_3-0-0_090084_2013-07-07_final
2013-07-08 11:00:46	ga_ls8c_ard_3-0-0_106083_2013-07-08_final
2013-07-09 10:05:08	ga_ls8c_ard_3-0-0_097083_2013-07-09_final
2013-07-09 10:05:32	ga_ls8c_ard_3-0-0_097084_2013-07-09_final
2013-07-09 11:44:02	ga_ls8c_ard_3-0-0_113083_2013-07-09_final
2013-07-25 10:05:08	ga_ls8c_ard_3-0-0_097083_2013-07-25_final
2013-07-25 10:05:31	ga_ls8c_ard_3-0-0_097084_2013-07-25_final
2013-07-25 11:44:25	ga_ls8c_ard_3-0-0_113084_2013-07-25_final
2015-06-22 11:35:10	ga_ls8c_ard_3-0-0_112083_2015-06-22_final
2015-06-22 11:35:34	ga_ls8c_ard_3-0-0_112084_2015-06-22_final
2015-06-23 10:39:33	ga_ls8c_ard_3-0-0_103083_2015-06-23_final
2015-06-24 09:43:56	ga_ls8c_ard_3-0-0_094083_2015-06-24_final
2015-06-24 09:44:20	ga_ls8c_ard_3-0-0_094084_2015-06-24_final
2015-06-24 11:22:49	ga_ls8c_ard_3-0-0_110083_2015-06-24_final
2015-06-24 11:23:13	ga_ls8c_ard_3-0-0_110084_2015-06-24_final
2015-06-25 10:27:12	ga_ls8c_ard_3-0-0_101083_2015-06-25_final
2015-06-25 10:27:36	ga_ls8c_ard_3-0-0_101084_2015-06-25_final
2015-06-26 09:31:35	ga_ls8c_ard_3-0-0_092083_2015-06-26_final
2015-06-26 09:31:59	ga_ls8c_ard_3-0-0_092084_2015-06-26_final
2015-06-26 11:10:28	ga_ls8c_ard_3-0-0_108083_2015-06-26_final
2015-06-26 11:10:52	ga_ls8c_ard_3-0-0_108084_2015-06-26_final
2015-07-30 09:19:30	ga_ls8c_ard_3-0-0_090083_2015-07-29_final
2015-07-30 09:19:54	ga_ls8c_ard_3-0-0_090084_2015-07-29_final
2015-07-30 10:58:23	ga_ls8c_ard_3-0-0_106083_2015-07-30_final
2015-07-30 10:58:47	ga_ls8c_ard_3-0-0_106084_2015-07-30_final
2015-07-31 10:02:46	ga_ls8c_ard_3-0-0_097083_2015-07-31_final
2015-07-31 10:03:10	ga_ls8c_ard_3-0-0_097084_2015-07-31_final
2015-07-31 11:41:39	ga_ls8c_ard_3-0-0_113083_2015-07-31_final
2015-07-31 11:42:03	ga_ls8c_ard_3-0-0_113084_2015-07-31_final
2015-08-01 09:07:09	ga_ls8c_ard_3-0-0_088083_2015-07-31_final
2015-08-01 09:07:33	ga_ls8c_ard_3-0-0_088084_2015-07-31_final
2015-08-01 10:46:02	ga_ls8c_ard_3-0-0_104083_2015-08-01_final
2015-08-04 11:16:56	ga_ls8c_ard_3-0-0_109083_2015-08-04_final
2015-08-04 11:17:20	ga_ls8c_ard_3-0-0_109084_2015-08-04_final
2015-08-05 10:21:19	ga_ls8c_ard_3-0-0_100083_2015-08-05_final
2015-08-05 10:21:43	ga_ls8c_ard_3-0-0_100084_2015-08-05_final
2015-08-06 09:25:42	ga_ls8c_ard_3-0-0_091083_2015-08-05_final
2015-08-06 09:26:06	ga_ls8c_ard_3-0-0_091084_2015-08-05_final
2015-08-06 11:04:35	ga_ls8c_ard_3-0-0_107083_2015-08-06_final
2015-08-06 11:04:59	ga_ls8c_ard_3-0-0_107084_2015-08-06_final
2015-08-07 10:08:57	ga_ls8c_ard_3-0-0_098083_2015-08-07_final
2015-08-07 10:09:21	ga_ls8c_ard_3-0-0_098084_2015-08-07_final
2015-09-05 11:17:09	ga_ls8c_ard_3-0-0_109083_2015-09-05_final
2015-09-05 11:17:33	ga_ls8c_ard_3-0-0_109084_2015-09-05_final
2015-09-07 09:26:19	ga_ls8c_ard_3-0-0_091084_2015-09-06_final
2015-09-08 10:09:12	ga_ls8c_ard_3-0-0_098083_2015-09-08_final
2015-09-08 10:09:36	ga_ls8c_ard_3-0-0_098084_2015-09-08_final
2015-09-09 09:13:35	ga_ls8c_ard_3-0-0_089083_2015-09-08_final
2015-09-09 09:13:59	ga_ls8c_ard_3-0-0_089084_2015-09-08_final
2015-09-09 10:52:28	ga_ls8c_ard_3-0-0_105083_2015-09-09_final
2015-09-10 09:56:51	ga_ls8c_ard_3-0-0_096083_2015-09-10_final
2015-09-10 09:57:15	ga_ls8c_ard_3-0-0_096084_2015-09-10_final
2015-09-23 09:26:27	ga_ls8c_ard_3-0-0_091084_2015-09-22_final
2015-09-23 11:04:56	ga_ls8c_ard_3-0-0_107083_2015-09-23_final
2015-09-23 11:05:20	ga_ls8c_ard_3-0-0_107084_2015-09-23_final
2015-09-24 10:09:19	ga_ls8c_ard_3-0-0_098083_2015-09-24_final
2015-09-24 10:09:43	ga_ls8c_ard_3-0-0_098084_2015-09-24_final
2015-09-25 09:13:42	ga_ls8c_ard_3-0-0_089083_2015-09-24_final
2015-09-25 09:14:06	ga_ls8c_ard_3-0-0_089084_2015-09-24_final
2015-10-05 09:50:49	ga_ls8c_ard_3-0-0_095083_2015-10-05_final
2015-10-05 09:51:13	ga_ls8c_ard_3-0-0_095084_2015-10-05_final
2015-10-05 11:29:42	ga_ls8c_ard_3-0-0_111083_2015-10-05_final
2015-10-05 11:30:06	ga_ls8c_ard_3-0-0_111084_2015-10-05_final
2015-10-06 10:34:04	ga_ls8c_ard_3-0-0_102083_2015-10-06_final
2015-10-24 10:22:10	ga_ls8c_ard_3-0-0_100084_2015-10-24_final
2015-10-25 09:26:09	ga_ls8c_ard_3-0-0_091083_2015-10-24_final
2015-10-25 09:26:33	ga_ls8c_ard_3-0-0_091084_2015-10-24_final
2015-10-25 11:05:02	ga_ls8c_ard_3-0-0_107083_2015-10-25_final
2015-10-25 11:05:26	ga_ls8c_ard_3-0-0_107084_2015-10-25_final
2015-10-26 10:09:25	ga_ls8c_ard_3-0-0_098083_2015-10-26_final
2015-10-26 10:09:49	ga_ls8c_ard_3-0-0_098084_2015-10-26_final
2015-11-05 10:46:32	ga_ls8c_ard_3-0-0_104083_2015-11-05_final
2015-11-06 09:50:54	ga_ls8c_ard_3-0-0_095083_2015-11-06_final
2015-11-06 09:51:18	ga_ls8c_ard_3-0-0_095084_2015-11-06_final
2015-11-06 11:29:48	ga_ls8c_ard_3-0-0_111083_2015-11-06_final
2015-11-06 11:30:11	ga_ls8c_ard_3-0-0_111084_2015-11-06_final
2015-11-17 09:32:23	ga_ls8c_ard_3-0-0_092083_2015-11-17_final
2015-11-17 09:32:47	ga_ls8c_ard_3-0-0_092084_2015-11-17_final
2015-11-17 11:11:16	ga_ls8c_ard_3-0-0_108083_2015-11-17_final
2015-11-17 11:11:40	ga_ls8c_ard_3-0-0_108084_2015-11-17_final
2015-11-18 10:15:39	ga_ls8c_ard_3-0-0_099083_2015-11-18_final
2015-11-18 10:16:03	ga_ls8c_ard_3-0-0_099084_2015-11-18_final
2015-12-09 10:34:10	ga_ls8c_ard_3-0-0_102083_2015-12-09_final
2015-12-10 09:38:33	ga_ls8c_ard_3-0-0_093083_2015-12-10_final
2015-12-10 09:38:57	ga_ls8c_ard_3-0-0_093084_2015-12-10_final
2015-12-10 11:17:26	ga_ls8c_ard_3-0-0_109083_2015-12-10_final
2015-12-10 11:17:50	ga_ls8c_ard_3-0-0_109084_2015-12-10_final
2015-12-11 10:21:48	ga_ls8c_ard_3-0-0_100083_2015-12-11_final
2015-12-11 10:22:12	ga_ls8c_ard_3-0-0_100084_2015-12-11_final
2015-12-24 09:50:56	ga_ls8c_ard_3-0-0_095083_2015-12-24_final
2015-12-24 09:51:20	ga_ls8c_ard_3-0-0_095084_2015-12-24_final
2015-12-24 11:29:49	ga_ls8c_ard_3-0-0_111083_2015-12-24_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

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

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