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
2013-04-06 10:06:19	ga_ls8c_ard_3-0-0_098074_2013-04-06_final
2013-04-06 10:06:42	ga_ls8c_ard_3-0-0_098075_2013-04-06_final
2013-04-06 10:07:06	ga_ls8c_ard_3-0-0_098076_2013-04-06_final
2013-04-06 10:07:30	ga_ls8c_ard_3-0-0_098077_2013-04-06_final
2013-04-06 10:07:54	ga_ls8c_ard_3-0-0_098078_2013-04-06_final
2013-04-06 10:08:18	ga_ls8c_ard_3-0-0_098079_2013-04-06_final
2013-04-11 10:08:38	ga_ls8c_ard_3-1-0_098071_2013-04-11_final
2013-04-11 10:09:02	ga_ls8c_ard_3-0-0_098072_2013-04-11_final
2013-04-11 10:09:26	ga_ls8c_ard_3-0-0_098073_2013-04-11_final
2013-04-11 10:09:50	ga_ls8c_ard_3-0-0_098074_2013-04-11_final
2013-04-11 10:10:14	ga_ls8c_ard_3-0-0_098075_2013-04-11_final
2013-04-11 10:10:38	ga_ls8c_ard_3-0-0_098076_2013-04-11_final
2013-04-11 10:11:02	ga_ls8c_ard_3-0-0_098077_2013-04-11_final
2013-04-18 10:11:44	ga_ls8c_ard_3-0-0_099069_2013-04-18_final
2013-04-18 10:12:08	ga_ls8c_ard_3-0-0_099070_2013-04-18_final
2013-04-18 10:12:32	ga_ls8c_ard_3-0-0_099071_2013-04-18_final
2013-04-18 10:12:56	ga_ls8c_ard_3-0-0_099072_2013-04-18_final
2013-04-18 10:13:20	ga_ls8c_ard_3-0-0_099073_2013-04-18_final
2013-04-18 10:13:44	ga_ls8c_ard_3-0-0_099074_2013-04-18_final
2013-04-20 10:02:57	ga_ls8c_ard_3-0-0_097078_2013-04-20_final
2013-04-20 10:03:21	ga_ls8c_ard_3-0-0_097079_2013-04-20_final
2013-04-20 10:03:45	ga_ls8c_ard_3-0-0_097080_2013-04-20_final
2013-04-20 10:04:09	ga_ls8c_ard_3-0-0_097081_2013-04-20_final
2013-04-20 10:04:33	ga_ls8c_ard_3-0-0_097082_2013-04-20_final
2013-04-20 10:04:57	ga_ls8c_ard_3-0-0_097083_2013-04-20_final
2013-06-21 10:11:50	ga_ls8c_ard_3-0-0_099069_2013-06-21_final
2013-06-21 10:12:14	ga_ls8c_ard_3-0-0_099070_2013-06-21_final
2013-06-21 10:12:38	ga_ls8c_ard_3-0-0_099071_2013-06-21_final
2013-06-21 10:13:02	ga_ls8c_ard_3-0-0_099072_2013-06-21_final
2013-06-21 10:13:26	ga_ls8c_ard_3-0-0_099073_2013-06-21_final
2013-06-21 10:13:50	ga_ls8c_ard_3-0-0_099074_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 09:59:20	ga_ls8c_ard_3-0-0_096084_2013-07-18_final
2013-07-18 09:59:44	ga_ls8c_ard_3-0-0_096085_2013-07-18_final
2013-07-18 10:00:08	ga_ls8c_ard_3-0-0_096086_2013-07-18_final
2013-07-23 10:11:53	ga_ls8c_ard_3-0-0_099069_2013-07-23_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
2013-07-23 10:13:05	ga_ls8c_ard_3-0-0_099072_2013-07-23_final
2013-07-23 10:13:29	ga_ls8c_ard_3-0-0_099073_2013-07-23_final
2013-07-23 10:13:53	ga_ls8c_ard_3-0-0_099074_2013-07-23_final
2013-07-25 10:03:08	ga_ls8c_ard_3-0-0_097078_2013-07-25_final
2013-07-25 10:03:32	ga_ls8c_ard_3-0-0_097079_2013-07-25_final
2013-07-25 10:03:56	ga_ls8c_ard_3-0-0_097080_2013-07-25_final
2013-07-25 10:04:20	ga_ls8c_ard_3-0-0_097081_2013-07-25_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
2013-08-24 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
2013-08-24 10:13:10	ga_ls8c_ard_3-0-0_099072_2013-08-24_final
2013-08-24 10:13:34	ga_ls8c_ard_3-0-0_099073_2013-08-24_final
2013-08-26 10:03:36	ga_ls8c_ard_3-0-0_097079_2013-08-26_final
2013-08-26 10:04:00	ga_ls8c_ard_3-0-0_097080_2013-08-26_final
2013-08-26 10:04:24	ga_ls8c_ard_3-0-0_097081_2013-08-26_final
2015-06-27 10:09:16	ga_ls8c_ard_3-0-0_099069_2015-06-27_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
2015-06-27 10:10:28	ga_ls8c_ard_3-0-0_099072_2015-06-27_final
2015-06-27 10:10:52	ga_ls8c_ard_3-0-0_099073_2015-06-27_final
2015-06-27 10:11:16	ga_ls8c_ard_3-0-0_099074_2015-06-27_final
2015-06-29 10:00:32	ga_ls8c_ard_3-0-0_097078_2015-06-29_final
2015-06-29 10:00:56	ga_ls8c_ard_3-0-0_097079_2015-06-29_final
2015-06-29 10:01:20	ga_ls8c_ard_3-0-0_097080_2015-06-29_final
2015-06-29 10:01:44	ga_ls8c_ard_3-0-0_097081_2015-06-29_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
2015-11-25 10:15:28	ga_ls8c_ard_3-0-0_100067_2015-11-25_final
2015-11-25 10:15:52	ga_ls8c_ard_3-0-0_100068_2015-11-25_final
2015-11-25 10:16:16	ga_ls8c_ard_3-0-0_100069_2015-11-25_final
2020-04-09 09:51:14	ga_ls8c_ard_3-1-0_095085_2020-04-09_final
2020-04-09 09:51:38	ga_ls8c_ard_3-1-0_095086_2020-04-09_final
2020-04-09 09:52:02	ga_ls8c_ard_3-1-0_095087_2020-04-09_final
2020-04-09 09:52:26	ga_ls8c_ard_3-1-0_095088_2020-04-09_final
2020-04-12 10:14:56	ga_ls8c_ard_3-1-0_100067_2020-04-12_final
2020-04-12 10:15:20	ga_ls8c_ard_3-1-0_100068_2020-04-12_final
2020-04-12 10:15:44	ga_ls8c_ard_3-1-0_100069_2020-04-12_final
2020-04-21 10:09:29	ga_ls8c_ard_3-1-0_099069_2020-04-21_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
2020-04-21 10:10:41	ga_ls8c_ard_3-1-0_099072_2020-04-21_final
2020-04-21 10:11:05	ga_ls8c_ard_3-1-0_099073_2020-04-21_final
2020-04-21 10:11:29	ga_ls8c_ard_3-1-0_099074_2020-04-21_final
2020-04-23 10:00:42	ga_ls8c_ard_3-1-0_097078_2020-04-23_final
2020-04-23 10:01:06	ga_ls8c_ard_3-1-0_097079_2020-04-23_final
2020-04-23 10:01:30	ga_ls8c_ard_3-1-0_097080_2020-04-23_final
2020-04-23 10:01:54	ga_ls8c_ard_3-1-0_097081_2020-04-23_final
2020-04-23 10:02:18	ga_ls8c_ard_3-1-0_097082_2020-04-23_final
2020-04-23 10:02:41	ga_ls8c_ard_3-1-0_097083_2020-04-23_final
2020-05-14 10:14:43	ga_ls8c_ard_3-1-0_100067_2020-05-14_final
2020-05-14 10:15:07	ga_ls8c_ard_3-1-0_100068_2020-05-14_final
2020-05-14 10:15:31	ga_ls8c_ard_3-1-0_100069_2020-05-14_final
2021-05-17 10:14:55	ga_ls8c_ard_3-2-0_100067_2021-05-17_final
2021-05-17 10:15:19	ga_ls8c_ard_3-2-0_100068_2021-05-17_final
2021-05-17 10:15:43	ga_ls8c_ard_3-2-0_100069_2021-05-17_final
2021-06-02 10:15:04	ga_ls8c_ard_3-2-0_100067_2021-06-02_final
2021-06-02 10:15:28	ga_ls8c_ard_3-2-0_100068_2021-06-02_final
2021-06-02 10:15:52	ga_ls8c_ard_3-2-0_100069_2021-06-02_final
2021-07-20 10:15:16	ga_ls8c_ard_3-2-0_100067_2021-07-20_final
2021-07-20 10:15:40	ga_ls8c_ard_3-2-0_100068_2021-07-20_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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