Search ga_ls5t_ard_3 across February 2010

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
2010-02-01 10:25:07	ga_ls5t_ard_3-0-0_103068_2010-02-01_final
2010-02-01 10:25:31	ga_ls5t_ard_3-0-0_103069_2010-02-01_final
2010-02-01 10:25:54	ga_ls5t_ard_3-0-0_103070_2010-02-01_final
2010-02-01 10:26:19	ga_ls5t_ard_3-0-0_103071_2010-02-01_final
2010-02-01 10:26:43	ga_ls5t_ard_3-0-0_103072_2010-02-01_final
2010-02-01 10:27:06	ga_ls5t_ard_3-0-0_103073_2010-02-01_final
2010-02-01 10:27:30	ga_ls5t_ard_3-0-0_103074_2010-02-01_final
2010-02-01 10:27:54	ga_ls5t_ard_3-0-0_103075_2010-02-01_final
2010-02-01 10:28:18	ga_ls5t_ard_3-0-0_103076_2010-02-01_final
2010-02-01 10:28:42	ga_ls5t_ard_3-0-0_103077_2010-02-01_final
2010-02-01 10:29:06	ga_ls5t_ard_3-0-0_103078_2010-02-01_final
2010-02-01 10:29:30	ga_ls5t_ard_3-0-0_103079_2010-02-01_final
2010-02-01 10:29:54	ga_ls5t_ard_3-0-0_103080_2010-02-01_final
2010-02-01 10:30:18	ga_ls5t_ard_3-0-0_103081_2010-02-01_final
2010-02-01 10:30:42	ga_ls5t_ard_3-0-0_103082_2010-02-01_final
2010-02-02 09:29:06	ga_ls5t_ard_3-1-0_094067_2010-02-01_final
2010-02-02 09:31:29	ga_ls5t_ard_3-0-0_094073_2010-02-02_final
2010-02-02 09:31:53	ga_ls5t_ard_3-0-0_094074_2010-02-02_final
2010-02-02 09:32:17	ga_ls5t_ard_3-0-0_094075_2010-02-02_final
2010-02-02 09:35:29	ga_ls5t_ard_3-0-0_094083_2010-02-02_final
2010-02-02 09:35:53	ga_ls5t_ard_3-0-0_094084_2010-02-02_final
2010-02-02 09:36:17	ga_ls5t_ard_3-0-0_094085_2010-02-02_final
2010-02-02 09:36:41	ga_ls5t_ard_3-0-0_094086_2010-02-02_final
2010-02-02 09:37:04	ga_ls5t_ard_3-0-0_094087_2010-02-02_final
2010-02-02 11:09:10	ga_ls5t_ard_3-0-0_110070_2010-02-02_final
2010-02-02 11:09:34	ga_ls5t_ard_3-0-0_110071_2010-02-02_final
2010-02-02 11:09:58	ga_ls5t_ard_3-0-0_110072_2010-02-02_final
2010-02-02 11:10:22	ga_ls5t_ard_3-0-0_110073_2010-02-02_final
2010-02-02 11:10:46	ga_ls5t_ard_3-0-0_110074_2010-02-02_final
2010-02-02 11:11:10	ga_ls5t_ard_3-0-0_110075_2010-02-02_final
2010-02-02 11:11:34	ga_ls5t_ard_3-0-0_110076_2010-02-02_final
2010-02-02 11:11:58	ga_ls5t_ard_3-0-0_110077_2010-02-02_final
2010-02-02 11:12:22	ga_ls5t_ard_3-0-0_110078_2010-02-02_final
2010-02-02 11:12:46	ga_ls5t_ard_3-0-0_110079_2010-02-02_final
2010-02-02 11:13:10	ga_ls5t_ard_3-0-0_110080_2010-02-02_final
2010-02-02 11:13:34	ga_ls5t_ard_3-0-0_110081_2010-02-02_final
2010-02-02 11:13:58	ga_ls5t_ard_3-0-0_110082_2010-02-02_final
2010-02-02 11:14:22	ga_ls5t_ard_3-0-0_110083_2010-02-02_final
2010-02-02 11:14:46	ga_ls5t_ard_3-0-0_110084_2010-02-02_final
2010-02-17 10:25:10	ga_ls5t_ard_3-0-0_103068_2010-02-17_final
2010-02-17 10:25:34	ga_ls5t_ard_3-0-0_103069_2010-02-17_final
2010-02-17 10:26:21	ga_ls5t_ard_3-0-0_103071_2010-02-17_final
2010-02-17 10:26:46	ga_ls5t_ard_3-0-0_103072_2010-02-17_final
2010-02-17 10:27:09	ga_ls5t_ard_3-0-0_103073_2010-02-17_final
2010-02-17 10:27:33	ga_ls5t_ard_3-0-0_103074_2010-02-17_final
2010-02-17 10:27:57	ga_ls5t_ard_3-0-0_103075_2010-02-17_final
2010-02-17 10:28:21	ga_ls5t_ard_3-0-0_103076_2010-02-17_final
2010-02-17 10:28:45	ga_ls5t_ard_3-0-0_103077_2010-02-17_final
2010-02-17 10:29:09	ga_ls5t_ard_3-0-0_103078_2010-02-17_final
2010-02-17 10:29:33	ga_ls5t_ard_3-0-0_103079_2010-02-17_final
2010-02-17 10:29:57	ga_ls5t_ard_3-0-0_103080_2010-02-17_final
2010-02-17 10:30:21	ga_ls5t_ard_3-0-0_103081_2010-02-17_final
2010-02-17 10:30:45	ga_ls5t_ard_3-0-0_103082_2010-02-17_final
2010-02-18 09:29:08	ga_ls5t_ard_3-0-0_094067_2010-02-17_final
2010-02-18 09:33:56	ga_ls5t_ard_3-0-0_094079_2010-02-18_final
2010-02-18 09:34:20	ga_ls5t_ard_3-0-0_094080_2010-02-18_final
2010-02-18 09:34:44	ga_ls5t_ard_3-0-0_094081_2010-02-18_final
2010-02-18 09:35:08	ga_ls5t_ard_3-0-0_094082_2010-02-18_final
2010-02-18 09:35:32	ga_ls5t_ard_3-0-0_094083_2010-02-18_final
2010-02-18 09:35:56	ga_ls5t_ard_3-0-0_094084_2010-02-18_final
2010-02-18 09:36:20	ga_ls5t_ard_3-0-0_094085_2010-02-18_final
2010-02-18 09:37:07	ga_ls5t_ard_3-0-0_094087_2010-02-18_final
2010-02-18 11:08:01	ga_ls5t_ard_3-0-0_110067_2010-02-18_final
2010-02-18 11:09:13	ga_ls5t_ard_3-0-0_110070_2010-02-18_final
2010-02-18 11:09:37	ga_ls5t_ard_3-0-0_110071_2010-02-18_final
2010-02-18 11:10:01	ga_ls5t_ard_3-0-0_110072_2010-02-18_final
2010-02-18 11:10:25	ga_ls5t_ard_3-0-0_110073_2010-02-18_final
2010-02-18 11:10:49	ga_ls5t_ard_3-0-0_110074_2010-02-18_final
2010-02-18 11:11:13	ga_ls5t_ard_3-0-0_110075_2010-02-18_final
2010-02-18 11:11:37	ga_ls5t_ard_3-0-0_110076_2010-02-18_final
2010-02-18 11:12:01	ga_ls5t_ard_3-0-0_110077_2010-02-18_final
2010-02-18 11:12:25	ga_ls5t_ard_3-0-0_110078_2010-02-18_final
2010-02-18 11:12:49	ga_ls5t_ard_3-0-0_110079_2010-02-18_final
2010-02-18 11:13:13	ga_ls5t_ard_3-0-0_110080_2010-02-18_final
2010-02-18 11:13:37	ga_ls5t_ard_3-0-0_110081_2010-02-18_final
2010-02-18 11:14:01	ga_ls5t_ard_3-0-0_110082_2010-02-18_final
2010-02-18 11:14:25	ga_ls5t_ard_3-0-0_110083_2010-02-18_final
2010-02-18 11:14:49	ga_ls5t_ard_3-0-0_110084_2010-02-18_final
2010-02-19 10:14:00	ga_ls5t_ard_3-0-0_101071_2010-02-19_final
2010-02-19 10:14:24	ga_ls5t_ard_3-0-0_101072_2010-02-19_final
2010-02-19 10:14:48	ga_ls5t_ard_3-0-0_101073_2010-02-19_final
2010-02-19 10:15:12	ga_ls5t_ard_3-0-0_101074_2010-02-19_final
2010-02-19 10:15:36	ga_ls5t_ard_3-0-0_101075_2010-02-19_final
2010-02-19 10:16:00	ga_ls5t_ard_3-0-0_101076_2010-02-19_final
2010-02-19 10:16:24	ga_ls5t_ard_3-0-0_101077_2010-02-19_final
2010-02-19 10:16:48	ga_ls5t_ard_3-0-0_101078_2010-02-19_final
2010-02-19 10:17:12	ga_ls5t_ard_3-0-0_101079_2010-02-19_final
2010-02-19 10:17:36	ga_ls5t_ard_3-0-0_101080_2010-02-19_final
2010-02-19 10:17:59	ga_ls5t_ard_3-0-0_101081_2010-02-19_final
2010-02-19 10:18:24	ga_ls5t_ard_3-0-0_101082_2010-02-19_final
2010-02-19 10:18:47	ga_ls5t_ard_3-0-0_101083_2010-02-19_final
2010-02-20 09:17:11	ga_ls5t_ard_3-0-0_092068_2010-02-19_final
2010-02-20 09:21:11	ga_ls5t_ard_3-0-0_092078_2010-02-19_final
2010-02-20 09:21:35	ga_ls5t_ard_3-0-0_092079_2010-02-19_final
2010-02-20 09:21:59	ga_ls5t_ard_3-0-0_092080_2010-02-19_final
2010-02-20 09:22:23	ga_ls5t_ard_3-0-0_092081_2010-02-19_final
2010-02-20 09:22:47	ga_ls5t_ard_3-0-0_092082_2010-02-19_final
2010-02-20 09:23:11	ga_ls5t_ard_3-0-0_092083_2010-02-19_final
2010-02-20 09:23:35	ga_ls5t_ard_3-0-0_092084_2010-02-19_final
2010-02-20 09:23:59	ga_ls5t_ard_3-0-0_092085_2010-02-19_final

Return to ga_ls5t_ard_3 across February 2010 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

2010

February

All days