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
2020-11-16 09:16:35	ga_ls8c_ard_3-1-0_090074_2020-11-15_final
2020-11-16 09:16:59	ga_ls8c_ard_3-1-0_090075_2020-11-15_final
2020-11-16 09:17:47	ga_ls8c_ard_3-1-0_090077_2020-11-15_final
2020-11-16 09:18:11	ga_ls8c_ard_3-1-0_090078_2020-11-15_final
2020-11-16 09:18:35	ga_ls8c_ard_3-1-0_090079_2020-11-15_final
2020-11-16 09:18:59	ga_ls8c_ard_3-1-0_090080_2020-11-15_final
2020-11-16 09:19:23	ga_ls8c_ard_3-1-0_090081_2020-11-15_final
2020-11-16 09:19:47	ga_ls8c_ard_3-1-0_090082_2020-11-15_final
2020-11-16 09:20:11	ga_ls8c_ard_3-1-0_090083_2020-11-15_final
2020-11-16 09:20:35	ga_ls8c_ard_3-1-0_090084_2020-11-15_final
2020-11-16 09:20:59	ga_ls8c_ard_3-1-0_090085_2020-11-15_final
2020-11-16 09:21:23	ga_ls8c_ard_3-1-0_090086_2020-11-15_final
2020-11-16 09:21:47	ga_ls8c_ard_3-1-0_090087_2020-11-15_final
2020-11-16 09:22:11	ga_ls8c_ard_3-1-0_090088_2020-11-15_final
2020-11-16 09:22:35	ga_ls8c_ard_3-1-0_090089_2020-11-15_final
2020-11-16 09:22:59	ga_ls8c_ard_3-1-0_090090_2020-11-15_final
2020-11-16 09:23:22	ga_ls8c_ard_3-1-0_090091_2020-11-15_final
2020-11-16 10:52:41	ga_ls8c_ard_3-1-0_106067_2020-11-16_final
2020-11-18 10:40:20	ga_ls8c_ard_3-1-0_104067_2020-11-18_final
2020-11-19 09:44:43	ga_ls8c_ard_3-1-0_095067_2020-11-19_final
2020-11-19 09:45:55	ga_ls8c_ard_3-1-0_095070_2020-11-19_final
2020-11-19 09:46:19	ga_ls8c_ard_3-1-0_095071_2020-11-19_final
2020-11-19 09:46:42	ga_ls8c_ard_3-1-0_095072_2020-11-19_final
2020-11-19 09:47:06	ga_ls8c_ard_3-1-0_095073_2020-11-19_final
2020-11-19 09:47:30	ga_ls8c_ard_3-1-0_095074_2020-11-19_final
2020-11-19 09:47:54	ga_ls8c_ard_3-1-0_095075_2020-11-19_final
2020-11-19 09:48:18	ga_ls8c_ard_3-1-0_095076_2020-11-19_final
2020-11-19 09:48:42	ga_ls8c_ard_3-1-0_095077_2020-11-19_final
2020-11-19 09:49:06	ga_ls8c_ard_3-1-0_095078_2020-11-19_final
2020-11-19 09:49:30	ga_ls8c_ard_3-1-0_095079_2020-11-19_final
2020-11-19 09:49:54	ga_ls8c_ard_3-1-0_095080_2020-11-19_final
2020-11-19 09:50:18	ga_ls8c_ard_3-1-0_095081_2020-11-19_final
2020-11-19 09:50:42	ga_ls8c_ard_3-1-0_095082_2020-11-19_final
2020-11-19 09:51:06	ga_ls8c_ard_3-1-0_095083_2020-11-19_final
2020-11-19 09:51:30	ga_ls8c_ard_3-1-0_095084_2020-11-19_final
2020-11-19 09:51:54	ga_ls8c_ard_3-1-0_095085_2020-11-19_final
2020-11-19 09:52:18	ga_ls8c_ard_3-1-0_095086_2020-11-19_final
2020-11-19 09:52:42	ga_ls8c_ard_3-1-0_095087_2020-11-19_final
2020-11-19 09:53:06	ga_ls8c_ard_3-1-0_095088_2020-11-19_final
2020-11-21 09:32:22	ga_ls8c_ard_3-1-0_093067_2020-11-21_final
2020-11-21 09:32:46	ga_ls8c_ard_3-1-0_093068_2020-11-21_final
2020-11-21 09:33:58	ga_ls8c_ard_3-1-0_093071_2020-11-21_final
2020-11-21 09:34:21	ga_ls8c_ard_3-1-0_093072_2020-11-21_final
2020-11-21 09:34:45	ga_ls8c_ard_3-1-0_093073_2020-11-21_final
2020-11-21 09:35:09	ga_ls8c_ard_3-1-0_093074_2020-11-21_final
2020-11-21 09:35:33	ga_ls8c_ard_3-1-0_093075_2020-11-21_final
2020-11-21 09:35:57	ga_ls8c_ard_3-1-0_093076_2020-11-21_final
2020-11-21 09:36:21	ga_ls8c_ard_3-1-0_093077_2020-11-21_final
2020-11-21 09:36:45	ga_ls8c_ard_3-1-0_093078_2020-11-21_final
2020-11-21 09:37:09	ga_ls8c_ard_3-1-0_093079_2020-11-21_final
2020-11-21 09:37:33	ga_ls8c_ard_3-1-0_093080_2020-11-21_final
2020-11-21 09:37:57	ga_ls8c_ard_3-1-0_093081_2020-11-21_final
2020-11-21 09:38:21	ga_ls8c_ard_3-1-0_093082_2020-11-21_final
2020-11-21 09:38:45	ga_ls8c_ard_3-1-0_093083_2020-11-21_final
2020-11-21 09:39:09	ga_ls8c_ard_3-1-0_093084_2020-11-21_final
2020-11-21 09:39:33	ga_ls8c_ard_3-1-0_093085_2020-11-21_final
2020-11-21 09:39:57	ga_ls8c_ard_3-1-0_093086_2020-11-21_final
2020-11-21 09:40:21	ga_ls8c_ard_3-1-0_093087_2020-11-21_final
2020-11-21 09:40:45	ga_ls8c_ard_3-1-0_093088_2020-11-21_final
2020-11-23 09:20:25	ga_ls8c_ard_3-1-0_091068_2020-11-22_final
2020-11-23 09:22:00	ga_ls8c_ard_3-1-0_091072_2020-11-22_final
2020-11-23 09:22:24	ga_ls8c_ard_3-1-0_091073_2020-11-22_final
2020-11-23 09:22:48	ga_ls8c_ard_3-1-0_091074_2020-11-22_final
2020-11-23 09:23:12	ga_ls8c_ard_3-1-0_091075_2020-11-22_final
2020-11-23 09:23:36	ga_ls8c_ard_3-1-0_091076_2020-11-22_final
2020-11-23 09:24:00	ga_ls8c_ard_3-1-0_091077_2020-11-22_final
2020-11-23 09:24:24	ga_ls8c_ard_3-1-0_091078_2020-11-22_final
2020-11-23 09:24:48	ga_ls8c_ard_3-1-0_091079_2020-11-22_final
2020-11-23 09:25:12	ga_ls8c_ard_3-1-0_091080_2020-11-22_final
2020-11-23 09:25:36	ga_ls8c_ard_3-1-0_091081_2020-11-22_final
2020-11-23 09:26:00	ga_ls8c_ard_3-1-0_091082_2020-11-22_final
2020-11-23 09:26:24	ga_ls8c_ard_3-1-0_091083_2020-11-22_final
2020-11-23 09:26:48	ga_ls8c_ard_3-1-0_091084_2020-11-22_final
2020-11-23 09:27:12	ga_ls8c_ard_3-1-0_091085_2020-11-22_final
2020-11-23 09:27:36	ga_ls8c_ard_3-1-0_091086_2020-11-22_final
2020-11-23 09:28:00	ga_ls8c_ard_3-1-0_091087_2020-11-22_final
2020-11-23 09:28:24	ga_ls8c_ard_3-1-0_091088_2020-11-22_final
2020-11-23 09:29:11	ga_ls8c_ard_3-1-0_091090_2020-11-22_final
2020-11-23 09:29:35	ga_ls8c_ard_3-1-0_091091_2020-11-22_final
2020-11-23 11:00:06	ga_ls8c_ard_3-1-0_107070_2020-11-23_final
2020-11-25 09:10:51	ga_ls8c_ard_3-1-0_089075_2020-11-24_final
2020-11-25 09:11:15	ga_ls8c_ard_3-1-0_089076_2020-11-24_final
2020-11-25 09:11:39	ga_ls8c_ard_3-1-0_089077_2020-11-24_final
2020-11-25 09:12:03	ga_ls8c_ard_3-1-0_089078_2020-11-24_final
2020-11-25 09:12:27	ga_ls8c_ard_3-1-0_089079_2020-11-24_final
2020-11-25 09:12:51	ga_ls8c_ard_3-1-0_089080_2020-11-24_final
2020-11-25 09:13:15	ga_ls8c_ard_3-1-0_089081_2020-11-24_final
2020-11-25 09:13:39	ga_ls8c_ard_3-1-0_089082_2020-11-24_final
2020-11-25 09:14:03	ga_ls8c_ard_3-1-0_089083_2020-11-24_final
2020-11-25 09:14:27	ga_ls8c_ard_3-1-0_089084_2020-11-24_final
2020-11-25 09:14:51	ga_ls8c_ard_3-1-0_089085_2020-11-24_final
2020-11-25 09:15:14	ga_ls8c_ard_3-1-0_089086_2020-11-24_final
2020-11-25 09:15:38	ga_ls8c_ard_3-1-0_089087_2020-11-24_final
2020-11-25 09:16:02	ga_ls8c_ard_3-1-0_089088_2020-11-24_final
2020-11-25 09:16:26	ga_ls8c_ard_3-1-0_089089_2020-11-24_final
2020-11-25 09:16:50	ga_ls8c_ard_3-1-0_089090_2020-11-24_final
2020-11-26 09:51:19	ga_ls8c_ard_3-1-0_096068_2020-11-26_final
2020-11-26 09:51:43	ga_ls8c_ard_3-1-0_096069_2020-11-26_final
2020-11-26 11:29:49	ga_ls8c_ard_3-1-0_112067_2020-11-26_final
2020-11-26 11:30:36	ga_ls8c_ard_3-1-0_112069_2020-11-26_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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