Search ga_ls5t_ard_3 across June 2011

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
2011-06-01 09:06:59	ga_ls5t_ard_3-0-0_090077_2011-05-31_final
2011-06-01 09:07:23	ga_ls5t_ard_3-0-0_090078_2011-05-31_final
2011-06-01 09:07:46	ga_ls5t_ard_3-0-0_090079_2011-05-31_final
2011-06-01 10:43:52	ga_ls5t_ard_3-0-0_106072_2011-06-01_final
2011-06-01 10:44:16	ga_ls5t_ard_3-0-0_106073_2011-06-01_final
2011-06-01 10:44:40	ga_ls5t_ard_3-0-0_106074_2011-06-01_final
2011-06-01 10:45:04	ga_ls5t_ard_3-0-0_106075_2011-06-01_final
2011-06-01 10:45:28	ga_ls5t_ard_3-0-0_106076_2011-06-01_final
2011-06-01 10:45:51	ga_ls5t_ard_3-0-0_106077_2011-06-01_final
2011-06-01 10:46:16	ga_ls5t_ard_3-0-0_106078_2011-06-01_final
2011-06-02 09:47:02	ga_ls5t_ard_3-0-0_097069_2011-06-02_final
2011-06-02 09:47:26	ga_ls5t_ard_3-0-0_097070_2011-06-02_final
2011-06-02 09:47:50	ga_ls5t_ard_3-0-0_097071_2011-06-02_final
2011-06-02 09:48:14	ga_ls5t_ard_3-0-0_097072_2011-06-02_final
2011-06-02 09:48:38	ga_ls5t_ard_3-0-0_097073_2011-06-02_final
2011-06-02 09:49:02	ga_ls5t_ard_3-0-0_097074_2011-06-02_final
2011-06-02 09:49:26	ga_ls5t_ard_3-0-0_097075_2011-06-02_final
2011-06-02 09:49:50	ga_ls5t_ard_3-0-0_097076_2011-06-02_final
2011-06-02 09:50:14	ga_ls5t_ard_3-0-0_097077_2011-06-02_final
2011-06-02 09:50:38	ga_ls5t_ard_3-0-0_097078_2011-06-02_final
2011-06-02 11:27:55	ga_ls5t_ard_3-0-0_113074_2011-06-02_final
2011-06-02 11:28:19	ga_ls5t_ard_3-0-0_113075_2011-06-02_final
2011-06-02 11:28:43	ga_ls5t_ard_3-0-0_113076_2011-06-02_final
2011-06-02 11:29:07	ga_ls5t_ard_3-0-0_113077_2011-06-02_final
2011-06-02 11:29:31	ga_ls5t_ard_3-0-0_113078_2011-06-02_final
2011-06-03 10:29:53	ga_ls5t_ard_3-0-0_104068_2011-06-03_final
2011-06-03 10:30:17	ga_ls5t_ard_3-0-0_104069_2011-06-03_final
2011-06-04 09:35:51	ga_ls5t_ard_3-0-0_095072_2011-06-04_final
2011-06-04 09:36:15	ga_ls5t_ard_3-0-0_095073_2011-06-04_final
2011-06-04 09:36:39	ga_ls5t_ard_3-0-0_095074_2011-06-04_final
2011-06-04 09:37:03	ga_ls5t_ard_3-0-0_095075_2011-06-04_final
2011-06-04 09:37:27	ga_ls5t_ard_3-0-0_095076_2011-06-04_final
2011-06-04 09:37:51	ga_ls5t_ard_3-0-0_095077_2011-06-04_final
2011-06-04 09:38:15	ga_ls5t_ard_3-0-0_095078_2011-06-04_final
2011-06-05 10:17:31	ga_ls5t_ard_3-1-0_102068_2011-06-05_final
2011-06-05 10:17:55	ga_ls5t_ard_3-0-0_102069_2011-06-05_final
2011-06-05 10:18:19	ga_ls5t_ard_3-0-0_102070_2011-06-05_final
2011-06-05 10:18:43	ga_ls5t_ard_3-0-0_102071_2011-06-05_final
2011-06-06 09:24:17	ga_ls5t_ard_3-0-0_093074_2011-06-05_final
2011-06-06 09:24:40	ga_ls5t_ard_3-0-0_093075_2011-06-05_final
2011-06-06 09:25:05	ga_ls5t_ard_3-0-0_093076_2011-06-05_final
2011-06-06 09:25:28	ga_ls5t_ard_3-0-0_093077_2011-06-05_final
2011-06-06 09:25:53	ga_ls5t_ard_3-0-0_093078_2011-06-05_final
2011-06-07 10:06:20	ga_ls5t_ard_3-0-0_100071_2011-06-07_final
2011-06-07 10:06:44	ga_ls5t_ard_3-0-0_100072_2011-06-07_final
2011-06-07 10:07:08	ga_ls5t_ard_3-0-0_100073_2011-06-07_final
2011-06-07 10:07:32	ga_ls5t_ard_3-0-0_100074_2011-06-07_final
2011-06-07 10:07:56	ga_ls5t_ard_3-0-0_100075_2011-06-07_final
2011-06-07 10:08:20	ga_ls5t_ard_3-0-0_100076_2011-06-07_final
2011-06-08 09:12:42	ga_ls5t_ard_3-0-0_091076_2011-06-07_final
2011-06-08 09:13:06	ga_ls5t_ard_3-0-0_091077_2011-06-07_final
2011-06-09 09:54:21	ga_ls5t_ard_3-0-0_098072_2011-06-09_final
2011-06-09 09:54:45	ga_ls5t_ard_3-0-0_098073_2011-06-09_final
2011-06-09 09:55:09	ga_ls5t_ard_3-0-0_098074_2011-06-09_final
2011-06-09 09:56:45	ga_ls5t_ard_3-0-0_098078_2011-06-09_final
2011-06-09 11:31:14	ga_ls5t_ard_3-0-0_114067_2011-06-09_final
2011-06-09 11:34:02	ga_ls5t_ard_3-0-0_114074_2011-06-09_final
2011-06-09 11:34:26	ga_ls5t_ard_3-0-0_114075_2011-06-09_final
2011-06-09 11:34:50	ga_ls5t_ard_3-0-0_114076_2011-06-09_final
2011-06-09 11:35:14	ga_ls5t_ard_3-0-0_114077_2011-06-09_final
2011-06-10 09:01:07	ga_ls5t_ard_3-0-0_089078_2011-06-09_final
2011-06-10 10:38:24	ga_ls5t_ard_3-0-0_105074_2011-06-10_final
2011-06-10 10:38:48	ga_ls5t_ard_3-0-0_105075_2011-06-10_final
2011-06-10 10:39:12	ga_ls5t_ard_3-0-0_105076_2011-06-10_final
2011-06-10 10:39:36	ga_ls5t_ard_3-0-0_105077_2011-06-10_final
2011-06-10 10:40:00	ga_ls5t_ard_3-0-0_105078_2011-06-10_final
2011-06-11 09:41:34	ga_ls5t_ard_3-0-0_096071_2011-06-11_final
2011-06-11 09:41:58	ga_ls5t_ard_3-0-0_096072_2011-06-11_final
2011-06-11 09:43:34	ga_ls5t_ard_3-0-0_096076_2011-06-11_final
2011-06-11 09:43:58	ga_ls5t_ard_3-0-0_096077_2011-06-11_final
2011-06-11 11:21:39	ga_ls5t_ard_3-0-0_112074_2011-06-11_final
2011-06-11 11:22:03	ga_ls5t_ard_3-0-0_112075_2011-06-11_final
2011-06-11 11:22:27	ga_ls5t_ard_3-0-0_112076_2011-06-11_final
2011-06-11 11:22:51	ga_ls5t_ard_3-0-0_112077_2011-06-11_final
2011-06-11 11:23:15	ga_ls5t_ard_3-0-0_112078_2011-06-11_final
2011-06-12 10:25:13	ga_ls5t_ard_3-0-0_103072_2011-06-12_final
2011-06-12 10:25:37	ga_ls5t_ard_3-0-0_103073_2011-06-12_final
2011-06-12 10:26:01	ga_ls5t_ard_3-0-0_103074_2011-06-12_final
2011-06-12 10:26:25	ga_ls5t_ard_3-0-0_103075_2011-06-12_final
2011-06-12 10:26:49	ga_ls5t_ard_3-0-0_103076_2011-06-12_final
2011-06-12 10:27:13	ga_ls5t_ard_3-0-0_103077_2011-06-12_final
2011-06-12 10:27:37	ga_ls5t_ard_3-0-0_103078_2011-06-12_final
2011-06-25 09:53:01	ga_ls5t_ard_3-0-0_098069_2011-06-25_final
2011-06-25 09:53:25	ga_ls5t_ard_3-0-0_098070_2011-06-25_final
2011-06-26 09:00:35	ga_ls5t_ard_3-1-0_089077_2011-06-25_final
2011-06-26 09:00:59	ga_ls5t_ard_3-0-0_089078_2011-06-25_final
2011-06-26 09:01:23	ga_ls5t_ard_3-0-0_089079_2011-06-25_final
2011-06-26 09:01:47	ga_ls5t_ard_3-0-0_089080_2011-06-25_final
2011-06-27 09:41:03	ga_ls5t_ard_3-0-0_096070_2011-06-27_final
2011-06-27 09:41:27	ga_ls5t_ard_3-0-0_096071_2011-06-27_final
2011-06-27 09:42:15	ga_ls5t_ard_3-0-0_096073_2011-06-27_final
2011-06-27 09:42:39	ga_ls5t_ard_3-0-0_096074_2011-06-27_final
2011-06-27 09:43:02	ga_ls5t_ard_3-0-0_096075_2011-06-27_final
2011-06-27 09:43:27	ga_ls5t_ard_3-0-0_096076_2011-06-27_final
2011-06-27 09:43:50	ga_ls5t_ard_3-0-0_096077_2011-06-27_final
2011-06-27 09:44:38	ga_ls5t_ard_3-0-0_096079_2011-06-27_final
2011-06-27 09:45:02	ga_ls5t_ard_3-0-0_096080_2011-06-27_final
2011-06-29 09:29:52	ga_ls5t_ard_3-1-0_094073_2011-06-28_final
2011-06-29 09:31:28	ga_ls5t_ard_3-0-0_094077_2011-06-29_final
2011-06-29 09:31:52	ga_ls5t_ard_3-1-0_094078_2011-06-29_final

Return to ga_ls5t_ard_3 across June 2011 overview

ga_ls5t_ard_3: Geoscience Australia Landsat 5 Thematic Mapper Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2011

June

All days