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
2021-09-15 10:09:25	ga_ls8c_ard_3-2-0_099067_2021-09-15_final
2021-09-16 09:21:23	ga_ls8c_ard_3-2-0_090086_2021-09-15_final
2021-09-16 09:22:34	ga_ls8c_ard_3-2-0_090089_2021-09-15_final
2021-09-16 09:22:58	ga_ls8c_ard_3-2-0_090090_2021-09-15_final
2021-09-17 10:03:03	ga_ls8c_ard_3-2-0_097082_2021-09-17_final
2021-09-17 11:40:20	ga_ls8c_ard_3-2-0_113078_2021-09-17_final
2021-09-17 11:41:08	ga_ls8c_ard_3-2-0_113080_2021-09-17_final
2021-09-17 11:42:20	ga_ls8c_ard_3-2-0_113083_2021-09-17_final
2021-09-18 10:40:43	ga_ls8c_ard_3-2-0_104068_2021-09-18_final
2021-09-18 10:41:07	ga_ls8c_ard_3-2-0_104069_2021-09-18_final
2021-09-18 10:42:19	ga_ls8c_ard_3-2-0_104072_2021-09-18_final
2021-09-18 10:43:31	ga_ls8c_ard_3-2-0_104075_2021-09-18_final
2021-09-19 09:50:17	ga_ls8c_ard_3-2-0_095081_2021-09-19_final
2021-09-19 09:50:41	ga_ls8c_ard_3-2-0_095082_2021-09-19_final
2021-09-19 09:51:05	ga_ls8c_ard_3-2-0_095083_2021-09-19_final
2021-09-19 09:51:29	ga_ls8c_ard_3-2-0_095084_2021-09-19_final
2021-09-19 09:51:53	ga_ls8c_ard_3-2-0_095085_2021-09-19_final
2021-09-19 09:52:17	ga_ls8c_ard_3-2-0_095086_2021-09-19_final
2021-09-19 11:26:23	ga_ls8c_ard_3-2-0_111074_2021-09-19_final
2021-09-19 11:26:47	ga_ls8c_ard_3-2-0_111075_2021-09-19_final
2021-09-19 11:27:11	ga_ls8c_ard_3-2-0_111076_2021-09-19_final
2021-09-19 11:27:34	ga_ls8c_ard_3-2-0_111077_2021-09-19_final
2021-09-19 11:27:58	ga_ls8c_ard_3-2-0_111078_2021-09-19_final
2021-09-19 11:28:22	ga_ls8c_ard_3-2-0_111079_2021-09-19_final
2021-09-19 11:28:46	ga_ls8c_ard_3-2-0_111080_2021-09-19_final
2021-09-19 11:29:10	ga_ls8c_ard_3-2-0_111081_2021-09-19_final
2021-09-19 11:29:34	ga_ls8c_ard_3-2-0_111082_2021-09-19_final
2021-09-20 10:29:10	ga_ls8c_ard_3-2-0_102070_2021-09-20_final
2021-09-20 10:29:58	ga_ls8c_ard_3-2-0_102072_2021-09-20_final
2021-09-21 11:12:25	ga_ls8c_ard_3-2-0_109070_2021-09-21_final
2021-09-21 11:12:49	ga_ls8c_ard_3-2-0_109071_2021-09-21_final
2021-09-21 11:13:13	ga_ls8c_ard_3-2-0_109072_2021-09-21_final
2021-09-21 11:13:37	ga_ls8c_ard_3-2-0_109073_2021-09-21_final
2021-09-21 11:14:01	ga_ls8c_ard_3-2-0_109074_2021-09-21_final
2021-09-21 11:14:25	ga_ls8c_ard_3-2-0_109075_2021-09-21_final
2021-09-21 11:14:49	ga_ls8c_ard_3-2-0_109076_2021-09-21_final
2021-09-21 11:15:13	ga_ls8c_ard_3-2-0_109077_2021-09-21_final
2021-09-21 11:15:37	ga_ls8c_ard_3-2-0_109078_2021-09-21_final
2021-09-21 11:16:01	ga_ls8c_ard_3-2-0_109079_2021-09-21_final
2021-09-21 11:16:25	ga_ls8c_ard_3-2-0_109080_2021-09-21_final
2021-09-21 11:16:49	ga_ls8c_ard_3-2-0_109081_2021-09-21_final
2021-09-22 10:17:12	ga_ls8c_ard_3-2-0_100071_2021-09-22_final
2021-09-22 10:21:12	ga_ls8c_ard_3-2-0_100081_2021-09-22_final
2021-09-22 10:21:36	ga_ls8c_ard_3-2-0_100082_2021-09-22_final
2021-09-22 10:21:59	ga_ls8c_ard_3-2-0_100083_2021-09-22_final
2021-09-22 10:22:23	ga_ls8c_ard_3-2-0_100084_2021-09-22_final
2021-09-22 10:22:47	ga_ls8c_ard_3-2-0_100085_2021-09-22_final
2021-09-23 09:23:11	ga_ls8c_ard_3-2-0_091075_2021-09-22_final
2021-09-23 09:26:46	ga_ls8c_ard_3-2-0_091084_2021-09-22_final
2021-09-23 09:27:10	ga_ls8c_ard_3-2-0_091085_2021-09-22_final
2021-09-23 09:27:34	ga_ls8c_ard_3-2-0_091086_2021-09-22_final
2021-09-23 09:28:22	ga_ls8c_ard_3-2-0_091088_2021-09-22_final
2021-09-23 09:28:46	ga_ls8c_ard_3-2-0_091089_2021-09-22_final
2021-09-23 11:02:52	ga_ls8c_ard_3-2-0_107077_2021-09-23_final
2021-09-23 11:03:15	ga_ls8c_ard_3-2-0_107078_2021-09-23_final
2021-09-23 11:03:39	ga_ls8c_ard_3-2-0_107079_2021-09-23_final
2021-09-23 11:04:03	ga_ls8c_ard_3-2-0_107080_2021-09-23_final
2021-09-24 10:08:26	ga_ls8c_ard_3-2-0_098080_2021-09-24_final
2021-09-25 09:16:49	ga_ls8c_ard_3-2-0_089090_2021-09-24_final
2021-09-25 10:46:31	ga_ls8c_ard_3-2-0_105067_2021-09-25_final
2021-09-25 10:46:55	ga_ls8c_ard_3-2-0_105068_2021-09-25_final
2021-09-25 10:47:43	ga_ls8c_ard_3-2-0_105070_2021-09-25_final
2021-09-25 10:48:07	ga_ls8c_ard_3-2-0_105071_2021-09-25_final
2021-09-25 10:48:31	ga_ls8c_ard_3-2-0_105072_2021-09-25_final
2021-09-25 10:48:55	ga_ls8c_ard_3-2-0_105073_2021-09-25_final
2021-09-25 10:49:19	ga_ls8c_ard_3-2-0_105074_2021-09-25_final
2021-09-25 10:51:19	ga_ls8c_ard_3-2-0_105079_2021-09-25_final
2021-09-25 10:52:31	ga_ls8c_ard_3-2-0_105082_2021-09-25_final
2021-09-25 10:52:54	ga_ls8c_ard_3-2-0_105083_2021-09-25_final
2021-09-26 09:50:55	ga_ls8c_ard_3-2-0_096067_2021-09-26_final
2021-09-26 09:51:19	ga_ls8c_ard_3-2-0_096068_2021-09-26_final
2021-09-26 09:51:42	ga_ls8c_ard_3-2-0_096069_2021-09-26_final
2021-09-26 09:52:06	ga_ls8c_ard_3-2-0_096070_2021-09-26_final
2021-09-26 09:52:30	ga_ls8c_ard_3-2-0_096071_2021-09-26_final
2021-09-26 09:52:54	ga_ls8c_ard_3-2-0_096072_2021-09-26_final
2021-09-26 09:53:18	ga_ls8c_ard_3-2-0_096073_2021-09-26_final
2021-09-26 09:53:42	ga_ls8c_ard_3-2-0_096074_2021-09-26_final
2021-09-26 09:54:30	ga_ls8c_ard_3-2-0_096076_2021-09-26_final
2021-09-26 09:54:54	ga_ls8c_ard_3-2-0_096077_2021-09-26_final
2021-09-26 09:55:18	ga_ls8c_ard_3-2-0_096078_2021-09-26_final
2021-09-26 09:55:42	ga_ls8c_ard_3-2-0_096079_2021-09-26_final
2021-09-26 09:56:06	ga_ls8c_ard_3-2-0_096080_2021-09-26_final
2021-09-26 09:56:30	ga_ls8c_ard_3-2-0_096081_2021-09-26_final
2021-09-26 09:57:18	ga_ls8c_ard_3-2-0_096083_2021-09-26_final
2021-09-26 09:57:42	ga_ls8c_ard_3-2-0_096084_2021-09-26_final
2021-09-26 09:58:06	ga_ls8c_ard_3-2-0_096085_2021-09-26_final
2021-09-26 09:58:29	ga_ls8c_ard_3-2-0_096086_2021-09-26_final
2021-09-26 11:29:48	ga_ls8c_ard_3-2-0_112067_2021-09-26_final
2021-09-26 11:30:12	ga_ls8c_ard_3-2-0_112068_2021-09-26_final
2021-09-26 11:30:36	ga_ls8c_ard_3-2-0_112069_2021-09-26_final
2021-09-26 11:30:59	ga_ls8c_ard_3-2-0_112070_2021-09-26_final
2021-09-26 11:31:23	ga_ls8c_ard_3-2-0_112071_2021-09-26_final
2021-09-26 11:31:47	ga_ls8c_ard_3-2-0_112072_2021-09-26_final
2021-09-26 11:32:11	ga_ls8c_ard_3-2-0_112073_2021-09-26_final
2021-09-26 11:32:35	ga_ls8c_ard_3-2-0_112074_2021-09-26_final
2021-09-26 11:32:59	ga_ls8c_ard_3-2-0_112075_2021-09-26_final
2021-09-26 11:33:23	ga_ls8c_ard_3-2-0_112076_2021-09-26_final
2021-09-26 11:33:47	ga_ls8c_ard_3-2-0_112077_2021-09-26_final
2021-09-26 11:34:11	ga_ls8c_ard_3-2-0_112078_2021-09-26_final
2021-09-26 11:34:35	ga_ls8c_ard_3-2-0_112079_2021-09-26_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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