Search ga_ls8c_ard_3 across September 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
2013-09-10 09:20:18	ga_ls8c_ard_3-0-0_090079_2013-09-09_final
2013-09-10 09:22:18	ga_ls8c_ard_3-0-0_090084_2013-09-09_final
2013-09-10 10:54:48	ga_ls8c_ard_3-0-0_106068_2013-09-10_final
2013-09-10 10:55:12	ga_ls8c_ard_3-0-0_106069_2013-09-10_final
2013-09-10 10:55:36	ga_ls8c_ard_3-0-0_106070_2013-09-10_final
2013-09-10 10:56:00	ga_ls8c_ard_3-0-0_106071_2013-09-10_final
2013-09-10 10:56:24	ga_ls8c_ard_3-0-0_106072_2013-09-10_final
2013-09-10 10:56:48	ga_ls8c_ard_3-0-0_106073_2013-09-10_final
2013-09-10 10:57:12	ga_ls8c_ard_3-0-0_106074_2013-09-10_final
2013-09-10 10:57:36	ga_ls8c_ard_3-0-0_106075_2013-09-10_final
2013-09-10 10:58:00	ga_ls8c_ard_3-0-0_106076_2013-09-10_final
2013-09-10 10:58:23	ga_ls8c_ard_3-0-0_106077_2013-09-10_final
2013-09-10 10:58:47	ga_ls8c_ard_3-0-0_106078_2013-09-10_final
2013-09-10 10:59:11	ga_ls8c_ard_3-0-0_106079_2013-09-10_final
2013-09-10 10:59:35	ga_ls8c_ard_3-0-0_106080_2013-09-10_final
2013-09-10 10:59:59	ga_ls8c_ard_3-0-0_106081_2013-09-10_final
2013-09-10 11:00:23	ga_ls8c_ard_3-0-0_106082_2013-09-10_final
2013-09-10 11:00:47	ga_ls8c_ard_3-0-0_106083_2013-09-10_final
2013-09-11 11:40:03	ga_ls8c_ard_3-1-0_113073_2013-09-11_final
2013-09-12 09:08:44	ga_ls8c_ard_3-1-0_088081_2013-09-11_final
2013-09-12 09:09:32	ga_ls8c_ard_3-0-0_088083_2013-09-11_final
2013-09-12 10:42:26	ga_ls8c_ard_3-0-0_104068_2013-09-12_final
2013-09-12 10:42:50	ga_ls8c_ard_3-0-0_104069_2013-09-12_final
2013-09-12 10:43:14	ga_ls8c_ard_3-0-0_104070_2013-09-12_final
2013-09-12 10:43:38	ga_ls8c_ard_3-0-0_104071_2013-09-12_final
2013-09-12 10:44:01	ga_ls8c_ard_3-0-0_104072_2013-09-12_final
2013-09-12 10:44:25	ga_ls8c_ard_3-0-0_104073_2013-09-12_final
2013-09-12 10:44:49	ga_ls8c_ard_3-0-0_104074_2013-09-12_final
2013-09-12 10:45:13	ga_ls8c_ard_3-0-0_104075_2013-09-12_final
2013-09-12 10:45:37	ga_ls8c_ard_3-0-0_104076_2013-09-12_final
2013-09-12 10:47:13	ga_ls8c_ard_3-0-0_104080_2013-09-12_final
2013-09-12 10:47:37	ga_ls8c_ard_3-0-0_104081_2013-09-12_final
2013-09-12 10:48:01	ga_ls8c_ard_3-0-0_104082_2013-09-12_final
2013-09-13 09:48:24	ga_ls8c_ard_3-0-0_095072_2013-09-13_final
2013-09-13 09:48:48	ga_ls8c_ard_3-0-0_095073_2013-09-13_final
2013-09-13 09:49:12	ga_ls8c_ard_3-0-0_095074_2013-09-13_final
2013-09-13 09:49:36	ga_ls8c_ard_3-0-0_095075_2013-09-13_final
2013-09-13 09:50:00	ga_ls8c_ard_3-0-0_095076_2013-09-13_final
2013-09-13 09:50:23	ga_ls8c_ard_3-0-0_095077_2013-09-13_final
2013-09-13 09:50:47	ga_ls8c_ard_3-0-0_095078_2013-09-13_final
2013-09-13 09:51:11	ga_ls8c_ard_3-0-0_095079_2013-09-13_final
2013-09-13 09:51:35	ga_ls8c_ard_3-0-0_095080_2013-09-13_final
2013-09-13 09:51:59	ga_ls8c_ard_3-0-0_095081_2013-09-13_final
2013-09-13 09:52:23	ga_ls8c_ard_3-0-0_095082_2013-09-13_final
2013-09-13 09:52:47	ga_ls8c_ard_3-0-0_095083_2013-09-13_final
2013-09-13 09:53:11	ga_ls8c_ard_3-0-0_095084_2013-09-13_final
2013-09-13 09:53:35	ga_ls8c_ard_3-0-0_095085_2013-09-13_final
2013-09-13 09:53:59	ga_ls8c_ard_3-0-0_095086_2013-09-13_final
2013-09-13 09:54:23	ga_ls8c_ard_3-0-0_095087_2013-09-13_final
2013-09-13 11:25:17	ga_ls8c_ard_3-0-0_111067_2013-09-13_final
2013-09-13 11:25:41	ga_ls8c_ard_3-0-0_111068_2013-09-13_final
2013-09-13 11:26:53	ga_ls8c_ard_3-0-0_111071_2013-09-13_final
2013-09-13 11:27:17	ga_ls8c_ard_3-0-0_111072_2013-09-13_final
2013-09-13 11:27:41	ga_ls8c_ard_3-0-0_111073_2013-09-13_final
2013-09-13 11:28:05	ga_ls8c_ard_3-0-0_111074_2013-09-13_final
2013-09-13 11:28:29	ga_ls8c_ard_3-0-0_111075_2013-09-13_final
2013-09-13 11:28:53	ga_ls8c_ard_3-0-0_111076_2013-09-13_final
2013-09-13 11:29:16	ga_ls8c_ard_3-0-0_111077_2013-09-13_final
2013-09-13 11:29:40	ga_ls8c_ard_3-0-0_111078_2013-09-13_final
2013-09-13 11:30:04	ga_ls8c_ard_3-0-0_111079_2013-09-13_final
2013-09-13 11:30:28	ga_ls8c_ard_3-0-0_111080_2013-09-13_final
2013-09-13 11:30:52	ga_ls8c_ard_3-0-0_111081_2013-09-13_final
2013-09-13 11:31:16	ga_ls8c_ard_3-0-0_111082_2013-09-13_final
2013-09-13 11:31:40	ga_ls8c_ard_3-0-0_111083_2013-09-13_final
2013-09-13 11:32:04	ga_ls8c_ard_3-0-0_111084_2013-09-13_final
2013-09-14 10:29:39	ga_ls8c_ard_3-0-0_102067_2013-09-14_final
2013-09-14 10:30:03	ga_ls8c_ard_3-0-0_102068_2013-09-14_final
2013-09-14 10:30:27	ga_ls8c_ard_3-0-0_102069_2013-09-14_final
2013-09-14 10:30:51	ga_ls8c_ard_3-0-0_102070_2013-09-14_final
2013-09-14 10:31:15	ga_ls8c_ard_3-0-0_102071_2013-09-14_final
2013-09-14 10:31:39	ga_ls8c_ard_3-0-0_102072_2013-09-14_final
2013-09-14 10:32:03	ga_ls8c_ard_3-0-0_102073_2013-09-14_final
2013-09-14 10:32:27	ga_ls8c_ard_3-0-0_102074_2013-09-14_final
2013-09-14 10:32:51	ga_ls8c_ard_3-0-0_102075_2013-09-14_final
2013-09-14 10:33:15	ga_ls8c_ard_3-0-0_102076_2013-09-14_final
2013-09-14 10:33:39	ga_ls8c_ard_3-0-0_102077_2013-09-14_final
2013-09-14 10:35:14	ga_ls8c_ard_3-0-0_102081_2013-09-14_final
2013-09-14 10:35:38	ga_ls8c_ard_3-0-0_102082_2013-09-14_final
2013-09-15 09:34:02	ga_ls8c_ard_3-0-0_093067_2013-09-15_final
2013-09-15 09:34:26	ga_ls8c_ard_3-0-0_093068_2013-09-15_final
2013-09-15 09:36:49	ga_ls8c_ard_3-0-0_093074_2013-09-15_final
2013-09-15 09:37:13	ga_ls8c_ard_3-0-0_093075_2013-09-15_final
2013-09-15 09:37:37	ga_ls8c_ard_3-0-0_093076_2013-09-15_final
2013-09-15 09:38:01	ga_ls8c_ard_3-0-0_093077_2013-09-15_final
2013-09-15 09:38:25	ga_ls8c_ard_3-0-0_093078_2013-09-15_final
2013-09-15 09:38:49	ga_ls8c_ard_3-0-0_093079_2013-09-15_final
2013-09-15 09:39:13	ga_ls8c_ard_3-0-0_093080_2013-09-15_final
2013-09-15 09:39:37	ga_ls8c_ard_3-0-0_093081_2013-09-15_final
2013-09-15 09:40:01	ga_ls8c_ard_3-0-0_093082_2013-09-15_final
2013-09-15 09:40:25	ga_ls8c_ard_3-0-0_093083_2013-09-15_final
2013-09-15 09:40:49	ga_ls8c_ard_3-0-0_093084_2013-09-15_final
2013-09-15 09:41:13	ga_ls8c_ard_3-0-0_093085_2013-09-15_final
2013-09-15 09:41:37	ga_ls8c_ard_3-0-0_093086_2013-09-15_final
2013-09-15 09:42:00	ga_ls8c_ard_3-0-0_093087_2013-09-15_final
2013-09-15 11:14:06	ga_ls8c_ard_3-0-0_109070_2013-09-15_final
2013-09-15 11:14:30	ga_ls8c_ard_3-0-0_109071_2013-09-15_final
2013-09-15 11:14:54	ga_ls8c_ard_3-0-0_109072_2013-09-15_final
2013-09-15 11:15:18	ga_ls8c_ard_3-0-0_109073_2013-09-15_final
2013-09-15 11:15:42	ga_ls8c_ard_3-0-0_109074_2013-09-15_final
2013-09-15 11:16:06	ga_ls8c_ard_3-0-0_109075_2013-09-15_final

Return to ga_ls8c_ard_3 across September 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

September

All days