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 11:12:57	ga_ls8c_ard_3-0-0_108083_2013-04-17_final
2013-04-18 10:17:19	ga_ls8c_ard_3-0-0_099083_2013-04-18_final
2013-04-19 09:21:42	ga_ls8c_ard_3-0-0_090083_2013-04-18_final
2013-04-20 10:04:57	ga_ls8c_ard_3-0-0_097083_2013-04-20_final
2013-04-20 11:43:50	ga_ls8c_ard_3-0-0_113083_2013-04-20_final
2013-06-16 11:37:49	ga_ls8c_ard_3-0-0_112083_2013-06-16_final
2013-06-18 11:25:26	ga_ls8c_ard_3-0-0_110083_2013-06-18_final
2013-06-20 09:34:11	ga_ls8c_ard_3-0-0_092083_2013-06-20_final
2013-06-20 11:13:04	ga_ls8c_ard_3-0-0_108083_2013-06-20_final
2013-06-21 10:17:26	ga_ls8c_ard_3-0-0_099083_2013-06-21_final
2013-06-22 09:21:48	ga_ls8c_ard_3-0-0_090083_2013-06-21_final
2013-07-18 09:58:33	ga_ls8c_ard_3-0-0_096082_2013-07-18_final
2013-07-18 09:58:57	ga_ls8c_ard_3-0-0_096083_2013-07-18_final
2013-07-18 11:37:26	ga_ls8c_ard_3-0-0_112082_2013-07-18_final
2013-07-18 11:37:50	ga_ls8c_ard_3-0-0_112083_2013-07-18_final
2013-07-19 10:41:48	ga_ls8c_ard_3-0-0_103082_2013-07-19_final
2013-07-20 09:46:10	ga_ls8c_ard_3-0-0_094082_2013-07-20_final
2013-07-20 09:46:34	ga_ls8c_ard_3-0-0_094083_2013-07-20_final
2013-07-20 11:25:03	ga_ls8c_ard_3-0-0_110082_2013-07-20_final
2013-07-20 11:25:27	ga_ls8c_ard_3-0-0_110083_2013-07-20_final
2013-07-21 10:29:26	ga_ls8c_ard_3-0-0_101082_2013-07-21_final
2013-07-21 10:29:50	ga_ls8c_ard_3-0-0_101083_2013-07-21_final
2013-07-22 09:33:48	ga_ls8c_ard_3-0-0_092082_2013-07-22_final
2013-07-22 09:34:12	ga_ls8c_ard_3-0-0_092083_2013-07-22_final
2013-07-22 11:12:41	ga_ls8c_ard_3-0-0_108082_2013-07-22_final
2013-07-22 11:13:05	ga_ls8c_ard_3-0-0_108083_2013-07-22_final
2013-07-23 10:17:04	ga_ls8c_ard_3-0-0_099082_2013-07-23_final
2013-07-23 10:17:28	ga_ls8c_ard_3-0-0_099083_2013-07-23_final
2013-07-24 09:21:28	ga_ls8c_ard_3-0-0_090082_2013-07-23_final
2013-07-24 09:21:51	ga_ls8c_ard_3-0-0_090083_2013-07-23_final
2013-07-24 11:00:21	ga_ls8c_ard_3-0-0_106082_2013-07-24_final
2013-07-24 11:00:44	ga_ls8c_ard_3-0-0_106083_2013-07-24_final
2013-07-25 10:04:44	ga_ls8c_ard_3-0-0_097082_2013-07-25_final
2013-07-25 10:05:08	ga_ls8c_ard_3-0-0_097083_2013-07-25_final
2013-07-25 11:43:37	ga_ls8c_ard_3-0-0_113082_2013-07-25_final
2013-07-25 11:44:01	ga_ls8c_ard_3-0-0_113083_2013-07-25_final
2013-07-26 09:09:07	ga_ls8c_ard_3-0-0_088082_2013-07-25_final
2015-06-27 10:14:27	ga_ls8c_ard_3-0-0_099082_2015-06-27_final
2015-06-27 10:14:51	ga_ls8c_ard_3-0-0_099083_2015-06-27_final
2015-06-28 09:18:51	ga_ls8c_ard_3-0-0_090082_2015-06-27_final
2015-06-28 09:19:15	ga_ls8c_ard_3-0-0_090083_2015-06-27_final
2015-06-28 10:57:44	ga_ls8c_ard_3-0-0_106082_2015-06-28_final
2015-06-28 10:58:08	ga_ls8c_ard_3-0-0_106083_2015-06-28_final
2015-06-29 10:02:08	ga_ls8c_ard_3-0-0_097082_2015-06-29_final
2015-06-29 10:02:32	ga_ls8c_ard_3-0-0_097083_2015-06-29_final
2015-06-29 11:41:01	ga_ls8c_ard_3-0-0_113082_2015-06-29_final
2015-06-29 11:41:25	ga_ls8c_ard_3-0-0_113083_2015-06-29_final
2015-06-30 09:06:31	ga_ls8c_ard_3-0-0_088082_2015-06-29_final
2015-06-30 09:06:55	ga_ls8c_ard_3-0-0_088083_2015-06-29_final
2015-07-10 11:22:36	ga_ls8c_ard_3-0-0_110082_2015-07-10_final
2015-07-10 11:23:00	ga_ls8c_ard_3-0-0_110083_2015-07-10_final
2015-07-11 10:26:59	ga_ls8c_ard_3-0-0_101082_2015-07-11_final
2015-07-11 10:27:23	ga_ls8c_ard_3-0-0_101083_2015-07-11_final
2015-10-28 11:35:33	ga_ls8c_ard_3-0-0_112082_2015-10-28_final
2015-10-28 11:35:57	ga_ls8c_ard_3-0-0_112083_2015-10-28_final
2015-10-29 10:39:56	ga_ls8c_ard_3-0-0_103082_2015-10-29_final
2015-10-30 09:44:19	ga_ls8c_ard_3-0-0_094082_2015-10-30_final
2015-10-30 09:44:43	ga_ls8c_ard_3-0-0_094083_2015-10-30_final
2015-10-30 11:23:12	ga_ls8c_ard_3-0-0_110082_2015-10-30_final
2015-10-30 11:23:36	ga_ls8c_ard_3-0-0_110083_2015-10-30_final
2015-10-31 10:27:35	ga_ls8c_ard_3-0-0_101082_2015-10-31_final
2015-10-31 10:27:59	ga_ls8c_ard_3-0-0_101083_2015-10-31_final
2015-11-01 09:31:58	ga_ls8c_ard_3-0-0_092082_2015-11-01_final
2015-11-01 09:32:22	ga_ls8c_ard_3-0-0_092083_2015-11-01_final
2015-11-23 10:33:48	ga_ls8c_ard_3-0-0_102082_2015-11-23_final
2015-11-23 10:34:12	ga_ls8c_ard_3-0-0_102083_2015-11-23_final
2015-11-24 09:38:11	ga_ls8c_ard_3-0-0_093082_2015-11-24_final
2015-11-24 09:38:35	ga_ls8c_ard_3-0-0_093083_2015-11-24_final
2015-11-24 11:17:04	ga_ls8c_ard_3-0-0_109082_2015-11-24_final
2015-11-24 11:17:28	ga_ls8c_ard_3-0-0_109083_2015-11-24_final
2015-11-25 10:21:27	ga_ls8c_ard_3-0-0_100082_2015-11-25_final
2015-11-25 10:21:51	ga_ls8c_ard_3-0-0_100083_2015-11-25_final
2015-11-26 09:25:50	ga_ls8c_ard_3-0-0_091082_2015-11-25_final
2015-11-26 09:26:13	ga_ls8c_ard_3-0-0_091083_2015-11-25_final
2021-05-17 08:42:01	ga_ls8c_ard_3-2-1_084082_2021-05-16_final
2021-05-17 10:20:54	ga_ls8c_ard_3-2-0_100082_2021-05-17_final
2021-05-17 10:21:18	ga_ls8c_ard_3-2-0_100083_2021-05-17_final
2021-05-18 09:25:17	ga_ls8c_ard_3-2-0_091082_2021-05-17_final
2021-05-18 09:25:41	ga_ls8c_ard_3-2-0_091083_2021-05-17_final
2021-06-01 09:37:47	ga_ls8c_ard_3-2-0_093082_2021-06-01_final
2021-06-01 09:38:11	ga_ls8c_ard_3-2-0_093083_2021-06-01_final
2021-06-01 11:16:40	ga_ls8c_ard_3-2-0_109082_2021-06-01_final
2021-06-01 11:17:04	ga_ls8c_ard_3-2-0_109083_2021-06-01_final
2021-06-02 08:42:10	ga_ls8c_ard_3-2-1_084082_2021-06-01_final
2021-06-02 10:21:03	ga_ls8c_ard_3-2-0_100082_2021-06-02_final
2021-06-02 10:21:27	ga_ls8c_ard_3-2-0_100083_2021-06-02_final
2021-07-17 11:29:12	ga_ls8c_ard_3-2-0_111082_2021-07-17_final
2021-07-17 11:29:36	ga_ls8c_ard_3-2-0_111083_2021-07-17_final
2021-07-18 10:33:35	ga_ls8c_ard_3-2-0_102082_2021-07-18_final
2021-07-18 10:33:59	ga_ls8c_ard_3-2-0_102083_2021-07-18_final
2021-07-19 09:37:58	ga_ls8c_ard_3-2-0_093082_2021-07-19_final
2021-07-19 09:38:22	ga_ls8c_ard_3-2-0_093083_2021-07-19_final
2021-07-19 11:16:52	ga_ls8c_ard_3-2-0_109082_2021-07-19_final
2021-07-19 11:17:15	ga_ls8c_ard_3-2-0_109083_2021-07-19_final
2021-07-20 08:42:22	ga_ls8c_ard_3-2-1_084082_2021-07-19_final
2021-07-20 10:21:15	ga_ls8c_ard_3-2-0_100082_2021-07-20_final
2021-07-20 10:21:39	ga_ls8c_ard_3-2-0_100083_2021-07-20_final
2021-07-21 09:25:38	ga_ls8c_ard_3-2-0_091082_2021-07-20_final
2021-07-21 09:26:02	ga_ls8c_ard_3-2-0_091083_2021-07-20_final
2021-07-21 11:04:31	ga_ls8c_ard_3-2-0_107082_2021-07-21_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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