Search ga_ls5t_ard_3 across October 2006

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
2006-10-05 09:39:51	ga_ls5t_ard_3-1-0_094086_2006-10-05_final
2006-10-05 11:12:21	ga_ls5t_ard_3-0-0_110070_2006-10-05_final
2006-10-05 11:15:08	ga_ls5t_ard_3-0-0_110077_2006-10-05_final
2006-10-05 11:16:20	ga_ls5t_ard_3-0-0_110080_2006-10-05_final
2006-10-06 10:16:44	ga_ls5t_ard_3-1-0_101070_2006-10-06_final
2006-10-06 10:17:08	ga_ls5t_ard_3-0-0_101071_2006-10-06_final
2006-10-06 10:17:32	ga_ls5t_ard_3-0-0_101072_2006-10-06_final
2006-10-06 10:17:56	ga_ls5t_ard_3-0-0_101073_2006-10-06_final
2006-10-06 10:18:20	ga_ls5t_ard_3-0-0_101074_2006-10-06_final
2006-10-06 10:18:44	ga_ls5t_ard_3-0-0_101075_2006-10-06_final
2006-10-06 10:19:08	ga_ls5t_ard_3-0-0_101076_2006-10-06_final
2006-10-06 10:19:31	ga_ls5t_ard_3-0-0_101077_2006-10-06_final
2006-10-06 10:19:55	ga_ls5t_ard_3-0-0_101078_2006-10-06_final
2006-10-06 10:20:19	ga_ls5t_ard_3-0-0_101079_2006-10-06_final
2006-10-06 10:20:43	ga_ls5t_ard_3-0-0_101080_2006-10-06_final
2006-10-06 10:21:07	ga_ls5t_ard_3-0-0_101081_2006-10-06_final
2006-10-06 10:21:31	ga_ls5t_ard_3-0-0_101082_2006-10-06_final
2006-10-06 10:21:55	ga_ls5t_ard_3-0-0_101083_2006-10-06_final
2006-10-07 09:20:19	ga_ls5t_ard_3-0-0_092068_2006-10-06_final
2006-10-07 09:20:43	ga_ls5t_ard_3-1-0_092069_2006-10-06_final
2006-10-07 09:23:07	ga_ls5t_ard_3-0-0_092075_2006-10-06_final
2006-10-07 09:23:31	ga_ls5t_ard_3-0-0_092076_2006-10-06_final
2006-10-07 09:23:55	ga_ls5t_ard_3-0-0_092077_2006-10-06_final
2006-10-07 09:24:19	ga_ls5t_ard_3-0-0_092078_2006-10-06_final
2006-10-07 09:24:43	ga_ls5t_ard_3-0-0_092079_2006-10-06_final
2006-10-07 09:25:06	ga_ls5t_ard_3-0-0_092080_2006-10-06_final
2006-10-07 09:25:30	ga_ls5t_ard_3-0-0_092081_2006-10-06_final
2006-10-07 09:25:54	ga_ls5t_ard_3-0-0_092082_2006-10-06_final
2006-10-07 09:26:18	ga_ls5t_ard_3-0-0_092083_2006-10-06_final
2006-10-07 09:26:42	ga_ls5t_ard_3-0-0_092084_2006-10-06_final
2006-10-07 09:27:06	ga_ls5t_ard_3-0-0_092085_2006-10-06_final
2006-10-07 09:27:30	ga_ls5t_ard_3-0-0_092086_2006-10-06_final
2006-10-07 09:27:54	ga_ls5t_ard_3-0-0_092087_2006-10-06_final
2006-10-07 09:28:18	ga_ls5t_ard_3-0-0_092088_2006-10-06_final
2006-10-07 11:00:00	ga_ls5t_ard_3-0-0_108070_2006-10-07_final
2006-10-07 11:00:24	ga_ls5t_ard_3-0-0_108071_2006-10-07_final
2006-10-07 11:00:48	ga_ls5t_ard_3-0-0_108072_2006-10-07_final
2006-10-07 11:01:12	ga_ls5t_ard_3-0-0_108073_2006-10-07_final
2006-10-07 11:01:36	ga_ls5t_ard_3-0-0_108074_2006-10-07_final
2006-10-07 11:02:00	ga_ls5t_ard_3-0-0_108075_2006-10-07_final
2006-10-07 11:02:24	ga_ls5t_ard_3-0-0_108076_2006-10-07_final
2006-10-07 11:02:48	ga_ls5t_ard_3-0-0_108077_2006-10-07_final
2006-10-07 11:03:12	ga_ls5t_ard_3-0-0_108078_2006-10-07_final
2006-10-07 11:03:36	ga_ls5t_ard_3-0-0_108079_2006-10-07_final
2006-10-07 11:04:00	ga_ls5t_ard_3-0-0_108080_2006-10-07_final
2006-10-07 11:04:23	ga_ls5t_ard_3-0-0_108081_2006-10-07_final
2006-10-07 11:04:48	ga_ls5t_ard_3-0-0_108082_2006-10-07_final
2006-10-07 11:05:11	ga_ls5t_ard_3-0-0_108083_2006-10-07_final
2006-10-07 11:05:35	ga_ls5t_ard_3-0-0_108084_2006-10-07_final
2006-10-18 09:05:53	ga_ls5t_ard_3-0-0_089078_2006-10-17_final
2006-10-18 09:06:17	ga_ls5t_ard_3-0-0_089079_2006-10-17_final
2006-10-18 09:06:41	ga_ls5t_ard_3-0-0_089080_2006-10-17_final
2006-10-18 09:07:05	ga_ls5t_ard_3-0-0_089081_2006-10-17_final
2006-10-18 09:07:29	ga_ls5t_ard_3-0-0_089082_2006-10-17_final
2006-10-18 09:07:53	ga_ls5t_ard_3-0-0_089083_2006-10-17_final
2006-10-18 09:08:17	ga_ls5t_ard_3-0-0_089084_2006-10-17_final
2006-10-18 09:09:04	ga_ls5t_ard_3-0-0_089086_2006-10-17_final
2006-10-18 09:10:16	ga_ls5t_ard_3-0-0_089089_2006-10-17_final
2006-10-18 09:10:40	ga_ls5t_ard_3-0-0_089090_2006-10-17_final
2006-10-18 10:40:47	ga_ls5t_ard_3-0-0_105068_2006-10-18_final
2006-10-18 10:41:11	ga_ls5t_ard_3-0-0_105069_2006-10-18_final
2006-10-18 10:41:35	ga_ls5t_ard_3-0-0_105070_2006-10-18_final
2006-10-18 10:41:58	ga_ls5t_ard_3-0-0_105071_2006-10-18_final
2006-10-18 10:42:22	ga_ls5t_ard_3-0-0_105072_2006-10-18_final
2006-10-18 10:42:46	ga_ls5t_ard_3-0-0_105073_2006-10-18_final
2006-10-18 10:43:10	ga_ls5t_ard_3-0-0_105074_2006-10-18_final
2006-10-18 10:43:34	ga_ls5t_ard_3-1-0_105075_2006-10-18_final
2006-10-18 10:44:22	ga_ls5t_ard_3-0-0_105077_2006-10-18_final
2006-10-18 10:44:46	ga_ls5t_ard_3-0-0_105078_2006-10-18_final
2006-10-18 10:45:34	ga_ls5t_ard_3-0-0_105080_2006-10-18_final
2006-10-18 10:45:58	ga_ls5t_ard_3-0-0_105081_2006-10-18_final
2006-10-18 10:46:22	ga_ls5t_ard_3-0-0_105082_2006-10-18_final
2006-10-19 09:44:46	ga_ls5t_ard_3-1-0_096067_2006-10-19_final
2006-10-19 09:45:58	ga_ls5t_ard_3-0-0_096070_2006-10-19_final
2006-10-19 09:46:22	ga_ls5t_ard_3-0-0_096071_2006-10-19_final
2006-10-19 09:46:46	ga_ls5t_ard_3-0-0_096072_2006-10-19_final
2006-10-19 09:47:10	ga_ls5t_ard_3-0-0_096073_2006-10-19_final
2006-10-19 09:47:34	ga_ls5t_ard_3-0-0_096074_2006-10-19_final
2006-10-19 09:47:57	ga_ls5t_ard_3-0-0_096075_2006-10-19_final
2006-10-19 09:48:21	ga_ls5t_ard_3-0-0_096076_2006-10-19_final
2006-10-19 09:48:45	ga_ls5t_ard_3-0-0_096077_2006-10-19_final
2006-10-19 09:49:09	ga_ls5t_ard_3-0-0_096078_2006-10-19_final
2006-10-19 09:49:33	ga_ls5t_ard_3-0-0_096079_2006-10-19_final
2006-10-19 09:49:57	ga_ls5t_ard_3-0-0_096080_2006-10-19_final
2006-10-19 09:50:21	ga_ls5t_ard_3-0-0_096081_2006-10-19_final
2006-10-19 09:50:45	ga_ls5t_ard_3-0-0_096082_2006-10-19_final
2006-10-19 09:51:09	ga_ls5t_ard_3-0-0_096083_2006-10-19_final
2006-10-19 09:51:33	ga_ls5t_ard_3-0-0_096084_2006-10-19_final
2006-10-19 09:51:57	ga_ls5t_ard_3-0-0_096085_2006-10-19_final
2006-10-19 11:23:39	ga_ls5t_ard_3-1-0_112067_2006-10-19_final
2006-10-19 11:26:27	ga_ls5t_ard_3-0-0_112074_2006-10-19_final
2006-10-19 11:26:50	ga_ls5t_ard_3-0-0_112075_2006-10-19_final
2006-10-19 11:27:14	ga_ls5t_ard_3-0-0_112076_2006-10-19_final
2006-10-19 11:27:38	ga_ls5t_ard_3-0-0_112077_2006-10-19_final
2006-10-19 11:28:02	ga_ls5t_ard_3-0-0_112078_2006-10-19_final
2006-10-19 11:28:26	ga_ls5t_ard_3-0-0_112079_2006-10-19_final
2006-10-19 11:28:50	ga_ls5t_ard_3-0-0_112080_2006-10-19_final
2006-10-19 11:29:14	ga_ls5t_ard_3-0-0_112081_2006-10-19_final
2006-10-19 11:29:38	ga_ls5t_ard_3-0-0_112082_2006-10-19_final
2006-10-19 11:30:02	ga_ls5t_ard_3-0-0_112083_2006-10-19_final

Return to ga_ls5t_ard_3 across October 2006 overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper 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

2006

October

All days