Search ga_ls5t_ard_3 across October 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
2010-10-01 10:12:46	ga_ls5t_ard_3-1-0_101070_2010-10-01_final
2010-10-01 10:13:10	ga_ls5t_ard_3-0-0_101071_2010-10-01_final
2010-10-01 10:13:34	ga_ls5t_ard_3-0-0_101072_2010-10-01_final
2010-10-02 09:19:56	ga_ls5t_ard_3-0-0_092077_2010-10-01_final
2010-10-02 09:20:20	ga_ls5t_ard_3-0-0_092078_2010-10-01_final
2010-10-02 09:20:44	ga_ls5t_ard_3-0-0_092079_2010-10-01_final
2010-10-02 09:21:08	ga_ls5t_ard_3-0-0_092080_2010-10-01_final
2010-10-02 09:21:32	ga_ls5t_ard_3-0-0_092081_2010-10-01_final
2010-10-02 09:22:44	ga_ls5t_ard_3-0-0_092084_2010-10-01_final
2010-10-02 09:23:08	ga_ls5t_ard_3-0-0_092085_2010-10-01_final
2010-10-02 09:23:32	ga_ls5t_ard_3-0-0_092086_2010-10-01_final
2010-10-02 09:23:56	ga_ls5t_ard_3-0-0_092087_2010-10-01_final
2010-10-02 09:24:20	ga_ls5t_ard_3-0-0_092088_2010-10-01_final
2010-10-02 09:24:44	ga_ls5t_ard_3-0-0_092089_2010-10-01_final
2010-10-02 10:58:25	ga_ls5t_ard_3-0-0_108076_2010-10-02_final
2010-10-02 10:58:49	ga_ls5t_ard_3-0-0_108077_2010-10-02_final
2010-10-02 10:59:13	ga_ls5t_ard_3-0-0_108078_2010-10-02_final
2010-10-02 10:59:37	ga_ls5t_ard_3-0-0_108079_2010-10-02_final
2010-10-02 11:00:01	ga_ls5t_ard_3-0-0_108080_2010-10-02_final
2010-10-02 11:00:25	ga_ls5t_ard_3-0-0_108081_2010-10-02_final
2010-10-02 11:00:49	ga_ls5t_ard_3-0-0_108082_2010-10-02_final
2010-10-02 11:01:13	ga_ls5t_ard_3-0-0_108083_2010-10-02_final
2010-10-03 10:00:00	ga_ls5t_ard_3-1-0_099069_2010-10-03_final
2010-10-03 10:00:24	ga_ls5t_ard_3-0-0_099070_2010-10-03_final
2010-10-03 10:00:48	ga_ls5t_ard_3-0-0_099071_2010-10-03_final
2010-10-03 10:01:12	ga_ls5t_ard_3-0-0_099072_2010-10-03_final
2010-10-03 10:01:35	ga_ls5t_ard_3-0-0_099073_2010-10-03_final
2010-10-03 10:02:00	ga_ls5t_ard_3-1-0_099074_2010-10-03_final
2010-10-03 10:02:23	ga_ls5t_ard_3-0-0_099075_2010-10-03_final
2010-10-03 10:02:48	ga_ls5t_ard_3-0-0_099076_2010-10-03_final
2010-10-03 10:03:11	ga_ls5t_ard_3-0-0_099077_2010-10-03_final
2010-10-03 10:03:35	ga_ls5t_ard_3-1-0_099078_2010-10-03_final
2010-10-03 10:03:59	ga_ls5t_ard_3-1-0_099079_2010-10-03_final
2010-10-04 09:07:34	ga_ls5t_ard_3-0-0_090077_2010-10-03_final
2010-10-04 09:07:58	ga_ls5t_ard_3-0-0_090078_2010-10-03_final
2010-10-04 09:08:21	ga_ls5t_ard_3-0-0_090079_2010-10-03_final
2010-10-04 09:08:45	ga_ls5t_ard_3-0-0_090080_2010-10-03_final
2010-10-04 09:09:09	ga_ls5t_ard_3-0-0_090081_2010-10-03_final
2010-10-04 09:09:33	ga_ls5t_ard_3-0-0_090082_2010-10-03_final
2010-10-04 09:10:45	ga_ls5t_ard_3-0-0_090085_2010-10-03_final
2010-10-04 09:11:09	ga_ls5t_ard_3-0-0_090086_2010-10-03_final
2010-10-04 09:11:33	ga_ls5t_ard_3-1-0_090087_2010-10-03_final
2010-10-04 09:11:57	ga_ls5t_ard_3-0-0_090088_2010-10-03_final
2010-10-04 10:45:38	ga_ls5t_ard_3-0-0_106075_2010-10-04_final
2010-10-04 10:46:03	ga_ls5t_ard_3-0-0_106076_2010-10-04_final
2010-10-04 10:46:26	ga_ls5t_ard_3-0-0_106077_2010-10-04_final
2010-10-04 10:47:14	ga_ls5t_ard_3-0-0_106079_2010-10-04_final
2010-10-04 10:47:38	ga_ls5t_ard_3-0-0_106080_2010-10-04_final
2010-10-04 10:48:02	ga_ls5t_ard_3-0-0_106081_2010-10-04_final
2010-10-04 10:48:26	ga_ls5t_ard_3-0-0_106082_2010-10-04_final
2010-10-04 10:48:50	ga_ls5t_ard_3-0-0_106083_2010-10-04_final
2010-10-05 09:49:13	ga_ls5t_ard_3-0-0_097073_2010-10-05_final
2010-10-05 09:49:37	ga_ls5t_ard_3-0-0_097074_2010-10-05_final
2010-10-05 09:50:01	ga_ls5t_ard_3-0-0_097075_2010-10-05_final
2010-10-05 09:50:25	ga_ls5t_ard_3-0-0_097076_2010-10-05_final
2010-10-05 09:50:49	ga_ls5t_ard_3-0-0_097077_2010-10-05_final
2010-10-05 09:51:13	ga_ls5t_ard_3-0-0_097078_2010-10-05_final
2010-10-05 09:51:37	ga_ls5t_ard_3-0-0_097079_2010-10-05_final
2010-10-05 09:52:00	ga_ls5t_ard_3-0-0_097080_2010-10-05_final
2010-10-05 09:52:24	ga_ls5t_ard_3-0-0_097081_2010-10-05_final
2010-10-05 09:52:49	ga_ls5t_ard_3-0-0_097082_2010-10-05_final
2010-10-05 09:53:13	ga_ls5t_ard_3-0-0_097083_2010-10-05_final
2010-10-05 09:53:36	ga_ls5t_ard_3-0-0_097084_2010-10-05_final
2010-10-05 09:54:01	ga_ls5t_ard_3-0-0_097085_2010-10-05_final
2010-10-07 09:40:02	ga_ls5t_ard_3-0-0_095081_2010-10-07_final
2010-10-07 09:40:26	ga_ls5t_ard_3-0-0_095082_2010-10-07_final
2010-10-07 09:40:50	ga_ls5t_ard_3-0-0_095083_2010-10-07_final
2010-10-07 09:41:14	ga_ls5t_ard_3-0-0_095084_2010-10-07_final
2010-10-07 09:41:38	ga_ls5t_ard_3-0-0_095085_2010-10-07_final
2010-10-07 11:15:19	ga_ls5t_ard_3-0-0_111072_2010-10-07_final
2010-10-07 11:15:43	ga_ls5t_ard_3-0-0_111073_2010-10-07_final
2010-10-07 11:16:07	ga_ls5t_ard_3-0-0_111074_2010-10-07_final
2010-10-07 11:16:31	ga_ls5t_ard_3-0-0_111075_2010-10-07_final
2010-10-07 11:16:55	ga_ls5t_ard_3-0-0_111076_2010-10-07_final
2010-10-07 11:17:19	ga_ls5t_ard_3-0-0_111077_2010-10-07_final
2010-10-07 11:17:43	ga_ls5t_ard_3-0-0_111078_2010-10-07_final
2010-10-07 11:18:07	ga_ls5t_ard_3-0-0_111079_2010-10-07_final
2010-10-07 11:18:31	ga_ls5t_ard_3-0-0_111080_2010-10-07_final
2010-10-07 11:18:55	ga_ls5t_ard_3-0-0_111081_2010-10-07_final
2010-10-07 11:19:19	ga_ls5t_ard_3-0-0_111082_2010-10-07_final
2010-10-07 11:19:43	ga_ls5t_ard_3-0-0_111083_2010-10-07_final
2010-10-07 11:20:07	ga_ls5t_ard_3-0-0_111084_2010-10-07_final
2010-10-25 09:29:54	ga_ls5t_ard_3-1-0_093087_2010-10-24_final
2010-10-25 09:30:18	ga_ls5t_ard_3-1-0_093088_2010-10-25_final
2010-10-28 09:53:58	ga_ls5t_ard_3-0-0_098070_2010-10-28_final
2010-10-28 09:55:10	ga_ls5t_ard_3-0-0_098073_2010-10-28_final
2010-10-28 09:55:34	ga_ls5t_ard_3-0-0_098074_2010-10-28_final
2010-10-28 09:56:46	ga_ls5t_ard_3-0-0_098077_2010-10-28_final
2010-10-28 09:57:33	ga_ls5t_ard_3-0-0_098079_2010-10-28_final
2010-10-28 09:57:57	ga_ls5t_ard_3-0-0_098080_2010-10-28_final
2010-10-28 09:59:09	ga_ls5t_ard_3-0-0_098083_2010-10-28_final
2010-10-28 09:59:33	ga_ls5t_ard_3-0-0_098084_2010-10-28_final
2010-10-29 09:01:08	ga_ls5t_ard_3-1-0_089077_2010-10-28_final
2010-10-30 09:40:24	ga_ls5t_ard_3-0-0_096067_2010-10-30_final
2010-10-30 09:41:36	ga_ls5t_ard_3-0-0_096070_2010-10-30_final
2010-10-30 09:42:00	ga_ls5t_ard_3-0-0_096071_2010-10-30_final
2010-10-30 09:42:24	ga_ls5t_ard_3-0-0_096072_2010-10-30_final
2010-10-30 09:42:48	ga_ls5t_ard_3-0-0_096073_2010-10-30_final
2010-10-30 09:43:12	ga_ls5t_ard_3-0-0_096074_2010-10-30_final
2010-10-30 09:43:35	ga_ls5t_ard_3-0-0_096075_2010-10-30_final

Return to ga_ls5t_ard_3 across October 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

October

All days