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
2016-01-12 11:57:28	ga_ls8c_ard_3-0-0_116075_2016-01-12_final
2016-01-21 11:50:54	ga_ls8c_ard_3-0-0_115074_2016-01-21_final
2016-01-21 11:51:17	ga_ls8c_ard_3-0-0_115075_2016-01-21_final
2016-01-21 11:51:41	ga_ls8c_ard_3-0-0_115076_2016-01-21_final
2016-01-21 11:52:05	ga_ls8c_ard_3-0-0_115077_2016-01-21_final
2016-01-21 11:52:29	ga_ls8c_ard_3-0-0_115078_2016-01-21_final
2016-01-21 11:52:53	ga_ls8c_ard_3-0-0_115079_2016-01-21_final
2016-01-21 11:53:17	ga_ls8c_ard_3-0-0_115080_2016-01-21_final
2016-03-25 11:50:32	ga_ls8c_ard_3-0-0_115074_2016-03-25_final
2016-03-25 11:50:56	ga_ls8c_ard_3-0-0_115075_2016-03-25_final
2016-03-25 11:51:20	ga_ls8c_ard_3-0-0_115076_2016-03-25_final
2016-03-25 11:51:44	ga_ls8c_ard_3-0-0_115077_2016-03-25_final
2016-03-25 11:52:08	ga_ls8c_ard_3-0-0_115078_2016-03-25_final
2016-03-25 11:52:32	ga_ls8c_ard_3-0-0_115079_2016-03-25_final
2016-03-25 11:52:56	ga_ls8c_ard_3-0-0_115080_2016-03-25_final
2016-04-01 11:56:38	ga_ls8c_ard_3-0-0_116074_2016-04-01_final
2016-04-01 11:57:02	ga_ls8c_ard_3-0-0_116075_2016-04-01_final
2016-04-10 11:50:25	ga_ls8c_ard_3-0-0_115074_2016-04-10_final
2016-04-10 11:50:49	ga_ls8c_ard_3-0-0_115075_2016-04-10_final
2016-04-10 11:51:13	ga_ls8c_ard_3-0-0_115076_2016-04-10_final
2016-04-10 11:51:37	ga_ls8c_ard_3-0-0_115077_2016-04-10_final
2016-04-10 11:52:01	ga_ls8c_ard_3-0-0_115078_2016-04-10_final
2016-04-10 11:52:25	ga_ls8c_ard_3-0-0_115079_2016-04-10_final
2016-04-10 11:52:49	ga_ls8c_ard_3-0-0_115080_2016-04-10_final
2016-05-28 11:50:27	ga_ls8c_ard_3-0-0_115074_2016-05-28_final
2016-05-28 11:50:51	ga_ls8c_ard_3-0-0_115075_2016-05-28_final
2016-05-28 11:51:15	ga_ls8c_ard_3-0-0_115076_2016-05-28_final
2016-05-28 11:51:39	ga_ls8c_ard_3-0-0_115077_2016-05-28_final
2016-05-28 11:52:03	ga_ls8c_ard_3-0-0_115078_2016-05-28_final
2016-05-28 11:52:27	ga_ls8c_ard_3-0-0_115079_2016-05-28_final
2016-05-28 11:52:51	ga_ls8c_ard_3-0-0_115080_2016-05-28_final
2016-06-13 11:50:30	ga_ls8c_ard_3-0-0_115074_2016-06-13_final
2016-06-13 11:50:54	ga_ls8c_ard_3-0-0_115075_2016-06-13_final
2016-06-13 11:51:18	ga_ls8c_ard_3-0-0_115076_2016-06-13_final
2016-06-13 11:51:42	ga_ls8c_ard_3-0-0_115077_2016-06-13_final
2016-06-13 11:52:06	ga_ls8c_ard_3-0-0_115078_2016-06-13_final
2016-06-13 11:52:30	ga_ls8c_ard_3-0-0_115079_2016-06-13_final
2016-06-13 11:52:54	ga_ls8c_ard_3-0-0_115080_2016-06-13_final
2016-06-29 11:50:38	ga_ls8c_ard_3-0-0_115074_2016-06-29_final
2016-06-29 11:51:02	ga_ls8c_ard_3-0-0_115075_2016-06-29_final
2016-06-29 11:51:26	ga_ls8c_ard_3-0-0_115076_2016-06-29_final
2016-06-29 11:51:50	ga_ls8c_ard_3-0-0_115077_2016-06-29_final
2016-06-29 11:52:14	ga_ls8c_ard_3-0-0_115078_2016-06-29_final
2016-06-29 11:52:38	ga_ls8c_ard_3-0-0_115079_2016-06-29_final
2016-06-29 11:53:02	ga_ls8c_ard_3-0-0_115080_2016-06-29_final
2016-07-22 11:56:58	ga_ls8c_ard_3-0-0_116074_2016-07-22_final
2016-07-22 11:57:22	ga_ls8c_ard_3-0-0_116075_2016-07-22_final
2017-03-19 11:56:40	ga_ls8c_ard_3-0-0_116074_2017-03-19_final
2017-03-19 11:57:04	ga_ls8c_ard_3-0-0_116075_2017-03-19_final
2017-03-21 11:46:17	ga_ls8c_ard_3-0-0_114079_2017-03-21_final
2017-03-21 11:46:41	ga_ls8c_ard_3-0-0_114080_2017-03-21_final
2017-03-21 11:47:04	ga_ls8c_ard_3-0-0_114081_2017-03-21_final
2017-03-30 11:41:14	ga_ls8c_ard_3-0-0_113082_2017-03-30_final
2017-03-30 11:41:38	ga_ls8c_ard_3-0-0_113083_2017-03-30_final
2017-03-30 11:42:02	ga_ls8c_ard_3-0-0_113084_2017-03-30_final
2017-05-31 11:50:24	ga_ls8c_ard_3-0-0_115074_2017-05-31_final
2017-05-31 11:50:48	ga_ls8c_ard_3-0-0_115075_2017-05-31_final
2017-05-31 11:51:12	ga_ls8c_ard_3-0-0_115076_2017-05-31_final
2017-05-31 11:51:36	ga_ls8c_ard_3-0-0_115077_2017-05-31_final
2017-05-31 11:52:00	ga_ls8c_ard_3-0-0_115078_2017-05-31_final
2017-05-31 11:52:24	ga_ls8c_ard_3-0-0_115079_2017-05-31_final
2017-05-31 11:52:48	ga_ls8c_ard_3-0-0_115080_2017-05-31_final
2017-06-02 11:41:15	ga_ls8c_ard_3-0-0_113082_2017-06-02_final
2017-06-02 11:41:39	ga_ls8c_ard_3-0-0_113083_2017-06-02_final
2017-06-02 11:42:03	ga_ls8c_ard_3-0-0_113084_2017-06-02_final
2017-08-10 11:57:00	ga_ls8c_ard_3-0-0_116074_2017-08-10_final
2017-08-10 11:57:24	ga_ls8c_ard_3-0-0_116075_2017-08-10_final
2019-08-11 11:41:45	ga_ls8c_ard_3-1-0_113082_2019-08-11_final
2019-08-11 11:42:09	ga_ls8c_ard_3-1-0_113083_2019-08-11_final
2019-08-11 11:42:33	ga_ls8c_ard_3-1-0_113084_2019-08-11_final
2019-08-25 11:50:59	ga_ls8c_ard_3-1-0_115074_2019-08-25_final
2019-08-25 11:51:23	ga_ls8c_ard_3-1-0_115075_2019-08-25_final
2019-08-25 11:51:47	ga_ls8c_ard_3-1-0_115076_2019-08-25_final
2019-08-25 11:52:11	ga_ls8c_ard_3-1-0_115077_2019-08-25_final
2019-08-25 11:52:35	ga_ls8c_ard_3-1-0_115078_2019-08-25_final
2019-08-25 11:52:59	ga_ls8c_ard_3-1-0_115079_2019-08-25_final
2019-08-25 11:53:23	ga_ls8c_ard_3-1-0_115080_2019-08-25_final
2019-09-12 11:41:54	ga_ls8c_ard_3-1-0_113082_2019-09-12_final
2019-09-12 11:42:18	ga_ls8c_ard_3-1-0_113083_2019-09-12_final
2019-09-12 11:42:42	ga_ls8c_ard_3-1-0_113084_2019-09-12_final
2019-09-26 11:51:08	ga_ls8c_ard_3-1-0_115074_2019-09-26_final
2019-09-26 11:51:32	ga_ls8c_ard_3-1-0_115075_2019-09-26_final
2019-09-26 11:51:56	ga_ls8c_ard_3-1-0_115076_2019-09-26_final
2019-09-26 11:52:20	ga_ls8c_ard_3-1-0_115077_2019-09-26_final
2019-09-26 11:52:44	ga_ls8c_ard_3-1-0_115078_2019-09-26_final
2019-09-26 11:53:08	ga_ls8c_ard_3-1-0_115079_2019-09-26_final
2019-09-26 11:53:32	ga_ls8c_ard_3-1-0_115080_2019-09-26_final
2019-10-12 11:51:12	ga_ls8c_ard_3-1-0_115074_2019-10-12_final
2019-10-12 11:51:35	ga_ls8c_ard_3-1-0_115075_2019-10-12_final
2019-10-12 11:51:59	ga_ls8c_ard_3-1-0_115076_2019-10-12_final
2019-10-12 11:52:23	ga_ls8c_ard_3-1-0_115077_2019-10-12_final
2019-10-12 11:52:47	ga_ls8c_ard_3-1-0_115078_2019-10-12_final
2019-10-12 11:53:11	ga_ls8c_ard_3-1-0_115079_2019-10-12_final
2019-10-12 11:53:35	ga_ls8c_ard_3-1-0_115080_2019-10-12_final
2019-10-28 11:51:12	ga_ls8c_ard_3-1-0_115074_2019-10-28_final
2019-10-28 11:51:36	ga_ls8c_ard_3-1-0_115075_2019-10-28_final
2019-10-28 11:52:00	ga_ls8c_ard_3-1-0_115076_2019-10-28_final
2019-10-28 11:52:24	ga_ls8c_ard_3-1-0_115077_2019-10-28_final
2019-10-28 11:52:48	ga_ls8c_ard_3-1-0_115078_2019-10-28_final
2019-10-28 11:53:12	ga_ls8c_ard_3-1-0_115079_2019-10-28_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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