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 11:08:10	ga_ls8c_ard_3-0-0_108071_2013-04-17_final
2013-04-18 10:12:32	ga_ls8c_ard_3-0-0_099071_2013-04-18_final
2013-04-19 10:55:47	ga_ls8c_ard_3-0-0_106071_2013-04-19_final
2013-04-20 10:00:10	ga_ls8c_ard_3-0-0_097071_2013-04-20_final
2013-04-21 10:43:25	ga_ls8c_ard_3-0-0_104071_2013-04-21_final
2013-06-17 10:37:24	ga_ls8c_ard_3-0-0_103071_2013-06-17_final
2013-06-18 11:20:39	ga_ls8c_ard_3-0-0_110071_2013-06-18_final
2013-06-19 10:25:01	ga_ls8c_ard_3-0-0_101071_2013-06-19_final
2013-06-20 11:08:16	ga_ls8c_ard_3-0-0_108071_2013-06-20_final
2013-06-21 10:12:38	ga_ls8c_ard_3-0-0_099071_2013-06-21_final
2013-07-18 09:53:45	ga_ls8c_ard_3-0-0_096070_2013-07-18_final
2013-07-18 09:54:09	ga_ls8c_ard_3-0-0_096071_2013-07-18_final
2013-07-19 10:37:01	ga_ls8c_ard_3-0-0_103070_2013-07-19_final
2013-07-19 10:37:25	ga_ls8c_ard_3-0-0_103071_2013-07-19_final
2013-07-20 11:20:40	ga_ls8c_ard_3-0-0_110071_2013-07-20_final
2013-07-21 10:25:02	ga_ls8c_ard_3-0-0_101071_2013-07-21_final
2013-07-22 11:07:54	ga_ls8c_ard_3-0-0_108070_2013-07-22_final
2013-07-22 11:08:18	ga_ls8c_ard_3-0-0_108071_2013-07-22_final
2013-07-23 10:12:17	ga_ls8c_ard_3-0-0_099070_2013-07-23_final
2013-07-23 10:12:41	ga_ls8c_ard_3-0-0_099071_2013-07-23_final
2013-07-24 10:55:33	ga_ls8c_ard_3-0-0_106070_2013-07-24_final
2013-07-24 10:55:57	ga_ls8c_ard_3-0-0_106071_2013-07-24_final
2013-07-25 09:59:56	ga_ls8c_ard_3-0-0_097070_2013-07-25_final
2013-07-25 10:00:20	ga_ls8c_ard_3-0-0_097071_2013-07-25_final
2013-07-26 10:43:12	ga_ls8c_ard_3-0-0_104070_2013-07-26_final
2013-07-26 10:43:36	ga_ls8c_ard_3-0-0_104071_2013-07-26_final
2013-08-23 11:07:59	ga_ls8c_ard_3-0-0_108070_2013-08-23_final
2013-08-23 11:08:23	ga_ls8c_ard_3-0-0_108071_2013-08-23_final
2013-08-24 10:12:22	ga_ls8c_ard_3-0-0_099070_2013-08-24_final
2013-08-24 10:12:46	ga_ls8c_ard_3-0-0_099071_2013-08-24_final
2013-08-25 10:55:38	ga_ls8c_ard_3-0-0_106070_2013-08-25_final
2013-08-25 10:56:02	ga_ls8c_ard_3-0-0_106071_2013-08-25_final
2013-08-26 10:00:01	ga_ls8c_ard_3-0-0_097070_2013-08-26_final
2013-08-26 10:00:25	ga_ls8c_ard_3-0-0_097071_2013-08-26_final
2015-06-27 10:09:40	ga_ls8c_ard_3-0-0_099070_2015-06-27_final
2015-06-27 10:10:04	ga_ls8c_ard_3-0-0_099071_2015-06-27_final
2015-06-28 10:52:57	ga_ls8c_ard_3-0-0_106070_2015-06-28_final
2015-06-28 10:53:21	ga_ls8c_ard_3-0-0_106071_2015-06-28_final
2015-06-29 09:57:20	ga_ls8c_ard_3-0-0_097070_2015-06-29_final
2015-06-29 09:57:44	ga_ls8c_ard_3-0-0_097071_2015-06-29_final
2015-07-10 11:17:49	ga_ls8c_ard_3-0-0_110070_2015-07-10_final
2015-07-10 11:18:13	ga_ls8c_ard_3-0-0_110071_2015-07-10_final
2015-07-11 10:22:12	ga_ls8c_ard_3-0-0_101070_2015-07-11_final
2015-07-11 10:22:36	ga_ls8c_ard_3-0-0_101071_2015-07-11_final
2015-07-12 09:26:59	ga_ls8c_ard_3-0-0_092071_2015-07-11_final
2015-10-28 11:30:46	ga_ls8c_ard_3-0-0_112070_2015-10-28_final
2015-10-28 11:31:10	ga_ls8c_ard_3-0-0_112071_2015-10-28_final
2015-10-29 10:35:09	ga_ls8c_ard_3-0-0_103070_2015-10-29_final
2015-10-29 10:35:33	ga_ls8c_ard_3-0-0_103071_2015-10-29_final
2015-10-30 11:18:25	ga_ls8c_ard_3-0-0_110070_2015-10-30_final
2015-10-30 11:18:49	ga_ls8c_ard_3-0-0_110071_2015-10-30_final
2015-10-31 10:22:48	ga_ls8c_ard_3-0-0_101070_2015-10-31_final
2015-10-31 10:23:12	ga_ls8c_ard_3-0-0_101071_2015-10-31_final
2015-11-23 10:29:01	ga_ls8c_ard_3-0-0_102070_2015-11-23_final
2015-11-23 10:29:25	ga_ls8c_ard_3-0-0_102071_2015-11-23_final
2015-11-24 09:33:48	ga_ls8c_ard_3-0-0_093071_2015-11-24_final
2015-11-24 11:12:17	ga_ls8c_ard_3-0-0_109070_2015-11-24_final
2015-11-24 11:12:41	ga_ls8c_ard_3-0-0_109071_2015-11-24_final
2015-11-25 10:16:39	ga_ls8c_ard_3-0-0_100070_2015-11-25_final
2015-11-25 10:17:03	ga_ls8c_ard_3-0-0_100071_2015-11-25_final
2020-04-09 11:24:32	ga_ls8c_ard_3-1-0_111071_2020-04-09_final
2020-04-10 10:28:30	ga_ls8c_ard_3-1-0_102070_2020-04-10_final
2020-04-10 10:28:54	ga_ls8c_ard_3-1-0_102071_2020-04-10_final
2020-04-11 09:33:16	ga_ls8c_ard_3-1-0_093071_2020-04-11_final
2020-04-11 11:12:09	ga_ls8c_ard_3-1-0_109071_2020-04-11_final
2020-04-12 10:16:08	ga_ls8c_ard_3-1-0_100070_2020-04-12_final
2020-04-12 10:16:32	ga_ls8c_ard_3-1-0_100071_2020-04-12_final
2020-04-21 10:09:53	ga_ls8c_ard_3-1-0_099070_2020-04-21_final
2020-04-21 10:10:17	ga_ls8c_ard_3-1-0_099071_2020-04-21_final
2020-04-22 10:53:32	ga_ls8c_ard_3-1-0_106071_2020-04-22_final
2020-04-23 09:57:30	ga_ls8c_ard_3-1-0_097070_2020-04-23_final
2020-04-23 09:57:54	ga_ls8c_ard_3-1-0_097071_2020-04-23_final
2020-04-24 10:40:45	ga_ls8c_ard_3-1-0_104070_2020-04-24_final
2020-04-24 10:41:09	ga_ls8c_ard_3-1-0_104071_2020-04-24_final
2020-05-04 09:39:16	ga_ls8c_ard_3-1-0_094071_2020-05-04_final
2020-05-04 11:18:09	ga_ls8c_ard_3-1-0_110071_2020-05-04_final
2020-05-05 10:22:31	ga_ls8c_ard_3-1-0_101071_2020-05-05_final
2020-05-06 09:26:53	ga_ls8c_ard_3-1-0_092071_2020-05-05_final
2020-05-13 09:33:03	ga_ls8c_ard_3-1-0_093071_2020-05-13_final
2020-05-13 11:11:32	ga_ls8c_ard_3-1-0_109070_2020-05-13_final
2020-05-13 11:11:56	ga_ls8c_ard_3-1-0_109071_2020-05-13_final
2020-05-14 10:15:55	ga_ls8c_ard_3-1-0_100070_2020-05-14_final
2020-05-14 10:16:19	ga_ls8c_ard_3-1-0_100071_2020-05-14_final
2021-05-17 10:16:07	ga_ls8c_ard_3-2-0_100070_2021-05-17_final
2021-05-17 10:16:31	ga_ls8c_ard_3-2-0_100071_2021-05-17_final
2021-06-01 09:33:23	ga_ls8c_ard_3-2-0_093071_2021-06-01_final
2021-06-01 11:11:52	ga_ls8c_ard_3-2-0_109070_2021-06-01_final
2021-06-01 11:12:16	ga_ls8c_ard_3-2-0_109071_2021-06-01_final
2021-06-02 10:16:15	ga_ls8c_ard_3-2-0_100070_2021-06-02_final
2021-06-02 10:16:39	ga_ls8c_ard_3-2-0_100071_2021-06-02_final
2021-07-17 11:24:25	ga_ls8c_ard_3-2-0_111070_2021-07-17_final
2021-07-17 11:24:49	ga_ls8c_ard_3-2-0_111071_2021-07-17_final
2021-07-18 10:28:48	ga_ls8c_ard_3-2-0_102070_2021-07-18_final
2021-07-18 10:29:12	ga_ls8c_ard_3-2-0_102071_2021-07-18_final
2021-07-19 09:33:35	ga_ls8c_ard_3-2-0_093071_2021-07-19_final
2021-07-19 11:12:04	ga_ls8c_ard_3-2-0_109070_2021-07-19_final
2021-07-19 11:12:28	ga_ls8c_ard_3-2-0_109071_2021-07-19_final
2021-07-20 10:16:27	ga_ls8c_ard_3-2-0_100070_2021-07-20_final
2021-07-20 10:16:51	ga_ls8c_ard_3-2-0_100071_2021-07-20_final
2021-07-21 10:59:44	ga_ls8c_ard_3-2-0_107070_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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