Search ga_ls8c_ard_3 across November 2013

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
2013-11-01 10:29:24	ga_ls8c_ard_3-0-0_102067_2013-11-01_final
2013-11-01 10:29:48	ga_ls8c_ard_3-0-0_102068_2013-11-01_final
2013-11-01 10:30:12	ga_ls8c_ard_3-0-0_102069_2013-11-01_final
2013-11-01 10:30:36	ga_ls8c_ard_3-0-0_102070_2013-11-01_final
2013-11-01 10:31:00	ga_ls8c_ard_3-0-0_102071_2013-11-01_final
2013-11-01 10:31:24	ga_ls8c_ard_3-0-0_102072_2013-11-01_final
2013-11-01 10:31:48	ga_ls8c_ard_3-0-0_102073_2013-11-01_final
2013-11-01 10:32:12	ga_ls8c_ard_3-0-0_102074_2013-11-01_final
2013-11-01 10:32:36	ga_ls8c_ard_3-0-0_102075_2013-11-01_final
2013-11-01 10:33:00	ga_ls8c_ard_3-0-0_102076_2013-11-01_final
2013-11-01 10:33:23	ga_ls8c_ard_3-0-0_102077_2013-11-01_final
2013-11-01 10:33:47	ga_ls8c_ard_3-0-0_102078_2013-11-01_final
2013-11-01 10:34:11	ga_ls8c_ard_3-0-0_102079_2013-11-01_final
2013-11-01 10:34:35	ga_ls8c_ard_3-0-0_102080_2013-11-01_final
2013-11-01 10:34:59	ga_ls8c_ard_3-0-0_102081_2013-11-01_final
2013-11-01 10:35:23	ga_ls8c_ard_3-0-0_102082_2013-11-01_final
2013-11-15 10:43:20	ga_ls8c_ard_3-0-0_104071_2013-11-15_final
2013-11-15 10:43:44	ga_ls8c_ard_3-0-0_104072_2013-11-15_final
2013-11-15 10:44:08	ga_ls8c_ard_3-0-0_104073_2013-11-15_final
2013-11-15 10:44:31	ga_ls8c_ard_3-0-0_104074_2013-11-15_final
2013-11-15 10:44:55	ga_ls8c_ard_3-0-0_104075_2013-11-15_final
2013-11-15 10:45:19	ga_ls8c_ard_3-0-0_104076_2013-11-15_final
2013-11-15 10:45:43	ga_ls8c_ard_3-1-0_104077_2013-11-15_final
2013-11-15 10:46:07	ga_ls8c_ard_3-0-0_104078_2013-11-15_final
2013-11-15 10:46:31	ga_ls8c_ard_3-0-0_104079_2013-11-15_final
2013-11-15 10:46:55	ga_ls8c_ard_3-0-0_104080_2013-11-15_final
2013-11-15 10:47:19	ga_ls8c_ard_3-0-0_104081_2013-11-15_final
2013-11-15 10:47:43	ga_ls8c_ard_3-0-0_104082_2013-11-15_final
2013-11-16 09:48:06	ga_ls8c_ard_3-0-0_095072_2013-11-16_final
2013-11-16 09:48:30	ga_ls8c_ard_3-0-0_095073_2013-11-16_final
2013-11-16 09:48:54	ga_ls8c_ard_3-0-0_095074_2013-11-16_final
2013-11-16 09:49:17	ga_ls8c_ard_3-0-0_095075_2013-11-16_final
2013-11-16 09:49:41	ga_ls8c_ard_3-0-0_095076_2013-11-16_final
2013-11-16 09:50:05	ga_ls8c_ard_3-0-0_095077_2013-11-16_final
2013-11-16 09:50:29	ga_ls8c_ard_3-0-0_095078_2013-11-16_final
2013-11-16 09:51:41	ga_ls8c_ard_3-0-0_095081_2013-11-16_final
2013-11-16 09:52:05	ga_ls8c_ard_3-0-0_095082_2013-11-16_final
2013-11-16 09:52:29	ga_ls8c_ard_3-0-0_095083_2013-11-16_final
2013-11-16 09:52:53	ga_ls8c_ard_3-0-0_095084_2013-11-16_final
2013-11-16 09:53:17	ga_ls8c_ard_3-0-0_095085_2013-11-16_final
2013-11-16 09:53:41	ga_ls8c_ard_3-0-0_095086_2013-11-16_final
2013-11-16 09:54:05	ga_ls8c_ard_3-0-0_095087_2013-11-16_final
2013-11-16 11:26:35	ga_ls8c_ard_3-0-0_111071_2013-11-16_final
2013-11-16 11:26:59	ga_ls8c_ard_3-0-0_111072_2013-11-16_final
2013-11-16 11:30:10	ga_ls8c_ard_3-0-0_111080_2013-11-16_final
2013-11-16 11:30:34	ga_ls8c_ard_3-0-0_111081_2013-11-16_final
2013-11-16 11:30:58	ga_ls8c_ard_3-0-0_111082_2013-11-16_final
2013-11-16 11:31:22	ga_ls8c_ard_3-0-0_111083_2013-11-16_final
2013-11-16 11:31:46	ga_ls8c_ard_3-0-0_111084_2013-11-16_final
2013-11-17 10:29:45	ga_ls8c_ard_3-0-0_102068_2013-11-17_final
2013-11-17 10:30:09	ga_ls8c_ard_3-0-0_102069_2013-11-17_final
2013-11-17 10:30:33	ga_ls8c_ard_3-0-0_102070_2013-11-17_final
2013-11-17 10:30:57	ga_ls8c_ard_3-0-0_102071_2013-11-17_final
2013-11-17 10:31:21	ga_ls8c_ard_3-0-0_102072_2013-11-17_final
2013-11-17 10:31:44	ga_ls8c_ard_3-0-0_102073_2013-11-17_final
2013-11-17 10:32:08	ga_ls8c_ard_3-0-0_102074_2013-11-17_final
2013-11-17 10:32:32	ga_ls8c_ard_3-0-0_102075_2013-11-17_final
2013-11-17 10:32:56	ga_ls8c_ard_3-0-0_102076_2013-11-17_final
2013-11-17 10:33:20	ga_ls8c_ard_3-0-0_102077_2013-11-17_final
2013-11-17 10:33:44	ga_ls8c_ard_3-0-0_102078_2013-11-17_final
2013-11-17 10:34:08	ga_ls8c_ard_3-0-0_102079_2013-11-17_final
2013-11-17 10:34:32	ga_ls8c_ard_3-0-0_102080_2013-11-17_final
2013-11-17 10:34:56	ga_ls8c_ard_3-0-0_102081_2013-11-17_final
2013-11-17 10:35:20	ga_ls8c_ard_3-0-0_102082_2013-11-17_final
2013-11-18 09:33:43	ga_ls8c_ard_3-0-0_093067_2013-11-18_final
2013-11-18 09:34:07	ga_ls8c_ard_3-0-0_093068_2013-11-18_final
2013-11-18 09:35:18	ga_ls8c_ard_3-0-0_093071_2013-11-18_final
2013-11-18 09:35:42	ga_ls8c_ard_3-0-0_093072_2013-11-18_final
2013-11-18 09:36:54	ga_ls8c_ard_3-1-0_093075_2013-11-18_final
2013-11-18 09:37:18	ga_ls8c_ard_3-0-0_093076_2013-11-18_final
2013-11-18 09:37:42	ga_ls8c_ard_3-0-0_093077_2013-11-18_final
2013-11-18 09:38:06	ga_ls8c_ard_3-0-0_093078_2013-11-18_final
2013-11-18 09:38:30	ga_ls8c_ard_3-0-0_093079_2013-11-18_final
2013-11-18 09:38:54	ga_ls8c_ard_3-0-0_093080_2013-11-18_final
2013-11-18 09:39:18	ga_ls8c_ard_3-0-0_093081_2013-11-18_final
2013-11-18 09:39:42	ga_ls8c_ard_3-0-0_093082_2013-11-18_final
2013-11-18 09:40:06	ga_ls8c_ard_3-0-0_093083_2013-11-18_final
2013-11-18 09:40:30	ga_ls8c_ard_3-0-0_093084_2013-11-18_final
2013-11-18 09:40:54	ga_ls8c_ard_3-0-0_093085_2013-11-18_final
2013-11-18 09:41:18	ga_ls8c_ard_3-0-0_093086_2013-11-18_final
2013-11-18 09:41:42	ga_ls8c_ard_3-0-0_093087_2013-11-18_final
2013-11-18 09:42:06	ga_ls8c_ard_3-0-0_093088_2013-11-18_final
2013-11-18 11:15:23	ga_ls8c_ard_3-0-0_109074_2013-11-18_final
2013-11-18 11:16:35	ga_ls8c_ard_3-0-0_109077_2013-11-18_final
2013-11-18 11:16:59	ga_ls8c_ard_3-0-0_109078_2013-11-18_final
2013-11-18 11:17:23	ga_ls8c_ard_3-0-0_109079_2013-11-18_final
2013-11-18 11:17:47	ga_ls8c_ard_3-0-0_109080_2013-11-18_final
2013-11-18 11:18:11	ga_ls8c_ard_3-0-0_109081_2013-11-18_final
2013-11-20 09:25:42	ga_ls8c_ard_3-0-0_091078_2013-11-19_final
2013-11-20 09:26:06	ga_ls8c_ard_3-0-0_091079_2013-11-19_final
2013-11-20 09:26:30	ga_ls8c_ard_3-0-0_091080_2013-11-19_final
2013-11-20 09:26:54	ga_ls8c_ard_3-0-0_091081_2013-11-19_final
2013-11-20 09:27:18	ga_ls8c_ard_3-0-0_091082_2013-11-19_final
2013-11-20 09:27:42	ga_ls8c_ard_3-0-0_091083_2013-11-19_final
2013-11-20 09:28:06	ga_ls8c_ard_3-0-0_091084_2013-11-19_final
2013-11-20 09:28:30	ga_ls8c_ard_3-0-0_091085_2013-11-19_final
2013-11-20 09:28:54	ga_ls8c_ard_3-0-0_091086_2013-11-19_final
2013-11-20 09:30:06	ga_ls8c_ard_3-0-0_091089_2013-11-20_final
2013-11-20 09:30:30	ga_ls8c_ard_3-0-0_091090_2013-11-20_final
2013-11-20 11:06:11	ga_ls8c_ard_3-1-0_107082_2013-11-20_final

Return to ga_ls8c_ard_3 across November 2013 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

2013

November

All days