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
2014-10-14 10:15:20	ga_ls8c_ard_3-0-0_099082_2014-10-14_final
2014-10-15 09:19:43	ga_ls8c_ard_3-0-0_090082_2014-10-14_final
2014-10-15 10:58:12	ga_ls8c_ard_3-0-0_106081_2014-10-15_final
2014-10-15 10:58:36	ga_ls8c_ard_3-0-0_106082_2014-10-15_final
2014-10-16 10:02:59	ga_ls8c_ard_3-0-0_097082_2014-10-16_final
2014-10-16 11:41:52	ga_ls8c_ard_3-0-0_113082_2014-10-16_final
2014-10-17 09:07:22	ga_ls8c_ard_3-0-0_088082_2014-10-16_final
2014-11-30 11:10:56	ga_ls8c_ard_3-0-0_108082_2014-11-30_final
2014-12-02 10:58:10	ga_ls8c_ard_3-0-0_106081_2014-12-02_final
2014-12-02 10:58:34	ga_ls8c_ard_3-0-0_106082_2014-12-02_final
2014-12-03 10:02:32	ga_ls8c_ard_3-0-0_097081_2014-12-03_final
2014-12-03 10:02:56	ga_ls8c_ard_3-0-0_097082_2014-12-03_final
2014-12-03 11:41:49	ga_ls8c_ard_3-0-0_113082_2014-12-03_final
2014-12-04 09:07:18	ga_ls8c_ard_3-0-0_088082_2014-12-03_final
2014-12-04 10:46:11	ga_ls8c_ard_3-0-0_104082_2014-12-04_final
2015-01-29 09:56:32	ga_ls8c_ard_3-0-0_096082_2015-01-29_final
2015-01-29 11:35:25	ga_ls8c_ard_3-0-0_112082_2015-01-29_final
2015-01-30 10:39:47	ga_ls8c_ard_3-0-0_103082_2015-01-30_final
2015-01-31 09:44:10	ga_ls8c_ard_3-0-0_094082_2015-01-31_final
2015-01-31 11:23:03	ga_ls8c_ard_3-0-0_110082_2015-01-31_final
2015-02-01 10:27:02	ga_ls8c_ard_3-0-0_101081_2015-02-01_final
2015-02-01 10:27:25	ga_ls8c_ard_3-0-0_101082_2015-02-01_final
2015-02-02 09:31:48	ga_ls8c_ard_3-0-0_092082_2015-02-02_final
2015-02-02 11:10:41	ga_ls8c_ard_3-0-0_108082_2015-02-02_final
2015-02-03 10:14:39	ga_ls8c_ard_3-0-0_099081_2015-02-03_final
2015-02-03 10:15:03	ga_ls8c_ard_3-0-0_099082_2015-02-03_final
2015-02-04 09:19:26	ga_ls8c_ard_3-0-0_090082_2015-02-03_final
2015-02-04 10:58:19	ga_ls8c_ard_3-0-0_106082_2015-02-04_final
2015-02-05 10:02:41	ga_ls8c_ard_3-0-0_097082_2015-02-05_final
2015-02-05 11:41:10	ga_ls8c_ard_3-0-0_113081_2015-02-05_final
2015-02-05 11:41:34	ga_ls8c_ard_3-0-0_113082_2015-02-05_final
2015-02-06 09:07:03	ga_ls8c_ard_3-0-0_088082_2015-02-05_final
2015-02-06 10:45:56	ga_ls8c_ard_3-0-0_104082_2015-02-06_final
2017-07-22 11:28:46	ga_ls8c_ard_3-0-0_111081_2017-07-22_final
2017-07-22 11:29:10	ga_ls8c_ard_3-0-0_111082_2017-07-22_final
2017-07-23 10:33:33	ga_ls8c_ard_3-0-0_102082_2017-07-23_final
2017-07-24 09:37:32	ga_ls8c_ard_3-0-0_093081_2017-07-24_final
2017-07-24 09:37:56	ga_ls8c_ard_3-0-0_093082_2017-07-24_final
2017-07-24 11:16:49	ga_ls8c_ard_3-0-0_109082_2017-07-24_final
2017-07-25 10:20:48	ga_ls8c_ard_3-0-0_100081_2017-07-25_final
2017-07-25 10:21:12	ga_ls8c_ard_3-0-0_100082_2017-07-25_final
2017-08-22 10:46:06	ga_ls8c_ard_3-0-0_104082_2017-08-22_final
2017-08-23 09:50:05	ga_ls8c_ard_3-0-0_095081_2017-08-23_final
2017-08-23 09:50:28	ga_ls8c_ard_3-0-0_095082_2017-08-23_final
2017-08-23 11:29:22	ga_ls8c_ard_3-0-0_111082_2017-08-23_final
2017-08-24 10:33:20	ga_ls8c_ard_3-0-0_102081_2017-08-24_final
2017-08-24 10:33:44	ga_ls8c_ard_3-0-0_102082_2017-08-24_final
2017-08-25 09:38:07	ga_ls8c_ard_3-0-0_093082_2017-08-25_final
2019-09-08 10:27:42	ga_ls8c_ard_3-1-0_101082_2019-09-08_final
2019-09-09 09:31:41	ga_ls8c_ard_3-1-0_092081_2019-09-09_final
2019-09-09 09:32:05	ga_ls8c_ard_3-1-0_092082_2019-09-09_final
2019-09-14 09:50:16	ga_ls8c_ard_3-1-0_095081_2019-09-14_final
2019-09-14 09:50:40	ga_ls8c_ard_3-1-0_095082_2019-09-14_final
2019-09-14 11:29:09	ga_ls8c_ard_3-1-0_111081_2019-09-14_final
2019-09-14 11:29:33	ga_ls8c_ard_3-1-0_111082_2019-09-14_final
2019-09-15 10:33:32	ga_ls8c_ard_3-1-0_102081_2019-09-15_final
2019-09-15 10:33:56	ga_ls8c_ard_3-1-0_102082_2019-09-15_final
2019-09-16 09:37:55	ga_ls8c_ard_3-1-0_093081_2019-09-16_final
2019-09-16 09:38:19	ga_ls8c_ard_3-1-0_093082_2019-09-16_final
2019-09-16 11:16:48	ga_ls8c_ard_3-1-0_109081_2019-09-16_final
2019-09-16 11:17:12	ga_ls8c_ard_3-1-0_109082_2019-09-16_final
2019-09-17 10:21:11	ga_ls8c_ard_3-1-0_100081_2019-09-17_final
2019-09-17 10:21:35	ga_ls8c_ard_3-1-0_100082_2019-09-17_final
2019-11-28 11:11:03	ga_ls8c_ard_3-1-0_108082_2019-11-28_final
2019-11-29 10:15:02	ga_ls8c_ard_3-1-0_099081_2019-11-29_final
2019-11-29 10:15:26	ga_ls8c_ard_3-1-0_099082_2019-11-29_final
2019-11-30 09:19:49	ga_ls8c_ard_3-1-0_090082_2019-11-29_final
2019-11-30 10:58:42	ga_ls8c_ard_3-1-0_106082_2019-11-30_final
2019-12-01 10:02:40	ga_ls8c_ard_3-1-0_097081_2019-12-01_final
2019-12-01 10:03:04	ga_ls8c_ard_3-1-0_097082_2019-12-01_final
2019-12-01 11:41:57	ga_ls8c_ard_3-1-0_113082_2019-12-01_final
2019-12-02 09:07:03	ga_ls8c_ard_3-1-0_088081_2019-12-01_final
2019-12-02 09:07:27	ga_ls8c_ard_3-1-0_088082_2019-12-01_final
2019-12-02 10:45:56	ga_ls8c_ard_3-1-0_104081_2019-12-02_final
2019-12-02 10:46:20	ga_ls8c_ard_3-1-0_104082_2019-12-02_final
2019-12-23 09:25:32	ga_ls8c_ard_3-1-0_091081_2019-12-22_final
2019-12-23 09:25:56	ga_ls8c_ard_3-1-0_091082_2019-12-22_final
2019-12-23 11:04:25	ga_ls8c_ard_3-1-0_107081_2019-12-23_final
2019-12-23 11:04:49	ga_ls8c_ard_3-1-0_107082_2019-12-23_final
2019-12-24 10:08:48	ga_ls8c_ard_3-1-0_098081_2019-12-24_final
2019-12-24 10:09:12	ga_ls8c_ard_3-1-0_098082_2019-12-24_final
2019-12-25 09:13:10	ga_ls8c_ard_3-1-0_089081_2019-12-24_final
2019-12-25 09:13:34	ga_ls8c_ard_3-1-0_089082_2019-12-24_final
2019-12-25 10:52:27	ga_ls8c_ard_3-1-0_105082_2019-12-25_final
2019-12-26 09:56:50	ga_ls8c_ard_3-1-0_096082_2019-12-26_final
2020-01-17 10:58:33	ga_ls8c_ard_3-1-0_106082_2020-01-17_final
2020-01-18 10:02:31	ga_ls8c_ard_3-1-0_097081_2020-01-18_final
2020-01-18 10:02:55	ga_ls8c_ard_3-1-0_097082_2020-01-18_final
2020-01-18 11:41:48	ga_ls8c_ard_3-1-0_113082_2020-01-18_final
2020-01-19 09:07:17	ga_ls8c_ard_3-1-0_088082_2020-01-18_final
2020-01-19 10:45:46	ga_ls8c_ard_3-1-0_104081_2020-01-19_final
2020-01-19 10:46:10	ga_ls8c_ard_3-1-0_104082_2020-01-19_final
2020-02-16 11:10:46	ga_ls8c_ard_3-1-0_108082_2020-02-16_final
2020-02-17 10:15:08	ga_ls8c_ard_3-1-0_099082_2020-02-17_final
2020-02-18 09:19:31	ga_ls8c_ard_3-1-0_090082_2020-02-17_final
2020-02-18 10:58:24	ga_ls8c_ard_3-1-0_106082_2020-02-18_final
2020-02-19 10:02:46	ga_ls8c_ard_3-1-0_097082_2020-02-19_final
2020-02-19 11:41:39	ga_ls8c_ard_3-1-0_113082_2020-02-19_final
2020-02-20 09:06:45	ga_ls8c_ard_3-1-0_088081_2020-02-19_final
2020-02-20 09:07:09	ga_ls8c_ard_3-1-0_088082_2020-02-19_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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