Search ga_ls5t_ard_3 across June 2009

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
2009-06-07 09:28:47	ga_ls5t_ard_3-0-0_094073_2009-06-06_final
2009-06-07 09:29:11	ga_ls5t_ard_3-0-0_094074_2009-06-06_final
2009-06-07 09:29:34	ga_ls5t_ard_3-0-0_094075_2009-06-06_final
2009-06-07 09:30:22	ga_ls5t_ard_3-0-0_094077_2009-06-07_final
2009-06-07 09:30:46	ga_ls5t_ard_3-0-0_094078_2009-06-07_final
2009-06-07 09:31:10	ga_ls5t_ard_3-0-0_094079_2009-06-07_final
2009-06-07 09:31:34	ga_ls5t_ard_3-0-0_094080_2009-06-07_final
2009-06-07 09:31:58	ga_ls5t_ard_3-0-0_094081_2009-06-07_final
2009-06-09 09:16:51	ga_ls5t_ard_3-1-0_092074_2009-06-08_final
2009-06-09 09:17:15	ga_ls5t_ard_3-0-0_092075_2009-06-08_final
2009-06-09 09:17:39	ga_ls5t_ard_3-0-0_092076_2009-06-08_final
2009-06-09 09:18:03	ga_ls5t_ard_3-0-0_092077_2009-06-08_final
2009-06-09 09:18:27	ga_ls5t_ard_3-0-0_092078_2009-06-08_final
2009-06-09 09:18:51	ga_ls5t_ard_3-0-0_092079_2009-06-08_final
2009-06-09 09:19:15	ga_ls5t_ard_3-0-0_092080_2009-06-08_final
2009-06-09 09:19:39	ga_ls5t_ard_3-0-0_092081_2009-06-08_final
2009-06-09 09:20:03	ga_ls5t_ard_3-0-0_092082_2009-06-08_final
2009-06-09 09:20:27	ga_ls5t_ard_3-0-0_092083_2009-06-08_final
2009-06-10 09:57:20	ga_ls5t_ard_3-0-0_099067_2009-06-10_final
2009-06-10 09:57:45	ga_ls5t_ard_3-0-0_099068_2009-06-10_final
2009-06-10 09:58:09	ga_ls5t_ard_3-0-0_099069_2009-06-10_final
2009-06-10 09:58:32	ga_ls5t_ard_3-0-0_099070_2009-06-10_final
2009-06-10 09:58:56	ga_ls5t_ard_3-0-0_099071_2009-06-10_final
2009-06-10 09:59:20	ga_ls5t_ard_3-0-0_099072_2009-06-10_final
2009-06-10 09:59:44	ga_ls5t_ard_3-1-0_099073_2009-06-10_final
2009-06-10 10:00:08	ga_ls5t_ard_3-0-0_099074_2009-06-10_final
2009-06-10 10:00:32	ga_ls5t_ard_3-0-0_099075_2009-06-10_final
2009-06-10 10:00:56	ga_ls5t_ard_3-0-0_099076_2009-06-10_final
2009-06-10 10:01:20	ga_ls5t_ard_3-0-0_099077_2009-06-10_final
2009-06-10 10:01:44	ga_ls5t_ard_3-0-0_099078_2009-06-10_final
2009-06-10 10:02:08	ga_ls5t_ard_3-0-0_099079_2009-06-10_final
2009-06-10 10:02:32	ga_ls5t_ard_3-0-0_099080_2009-06-10_final
2009-06-10 10:02:56	ga_ls5t_ard_3-0-0_099081_2009-06-10_final
2009-06-10 10:03:20	ga_ls5t_ard_3-0-0_099082_2009-06-10_final
2009-06-11 09:05:44	ga_ls5t_ard_3-0-0_090077_2009-06-10_final
2009-06-11 09:06:08	ga_ls5t_ard_3-0-0_090078_2009-06-10_final
2009-06-11 09:06:32	ga_ls5t_ard_3-0-0_090079_2009-06-10_final
2009-06-11 09:06:55	ga_ls5t_ard_3-0-0_090080_2009-06-10_final
2009-06-11 09:07:19	ga_ls5t_ard_3-0-0_090081_2009-06-10_final
2009-06-11 09:07:44	ga_ls5t_ard_3-0-0_090082_2009-06-10_final
2009-06-11 10:41:01	ga_ls5t_ard_3-0-0_106068_2009-06-11_final
2009-06-11 10:41:25	ga_ls5t_ard_3-0-0_106069_2009-06-11_final
2009-06-11 10:41:49	ga_ls5t_ard_3-0-0_106070_2009-06-11_final
2009-06-11 10:42:13	ga_ls5t_ard_3-0-0_106071_2009-06-11_final
2009-06-11 10:42:37	ga_ls5t_ard_3-0-0_106072_2009-06-11_final
2009-06-12 09:46:13	ga_ls5t_ard_3-0-0_097070_2009-06-12_final
2009-06-12 09:46:37	ga_ls5t_ard_3-0-0_097071_2009-06-12_final
2009-06-12 09:47:01	ga_ls5t_ard_3-0-0_097072_2009-06-12_final
2009-06-12 09:47:25	ga_ls5t_ard_3-0-0_097073_2009-06-12_final
2009-06-12 09:47:49	ga_ls5t_ard_3-0-0_097074_2009-06-12_final
2009-06-12 09:48:13	ga_ls5t_ard_3-0-0_097075_2009-06-12_final
2009-06-12 09:48:37	ga_ls5t_ard_3-0-0_097076_2009-06-12_final
2009-06-12 09:49:00	ga_ls5t_ard_3-0-0_097077_2009-06-12_final
2009-06-12 09:49:25	ga_ls5t_ard_3-0-0_097078_2009-06-12_final
2009-06-12 09:49:48	ga_ls5t_ard_3-0-0_097079_2009-06-12_final
2009-06-12 09:50:12	ga_ls5t_ard_3-0-0_097080_2009-06-12_final
2009-06-12 09:50:36	ga_ls5t_ard_3-0-0_097081_2009-06-12_final
2009-06-12 09:51:00	ga_ls5t_ard_3-0-0_097082_2009-06-12_final
2009-06-13 10:28:42	ga_ls5t_ard_3-0-0_104068_2009-06-13_final
2009-06-13 10:29:06	ga_ls5t_ard_3-0-0_104069_2009-06-13_final
2009-06-13 10:29:30	ga_ls5t_ard_3-0-0_104070_2009-06-13_final
2009-06-14 09:32:42	ga_ls5t_ard_3-0-0_095067_2009-06-14_final
2009-06-14 11:11:35	ga_ls5t_ard_3-0-0_111067_2009-06-14_final
2009-06-14 11:11:59	ga_ls5t_ard_3-0-0_111068_2009-06-14_final
2009-06-15 10:16:23	ga_ls5t_ard_3-1-0_102068_2009-06-15_final
2009-06-15 10:16:47	ga_ls5t_ard_3-0-0_102069_2009-06-15_final
2009-06-15 10:17:11	ga_ls5t_ard_3-0-0_102070_2009-06-15_final
2009-06-16 11:00:27	ga_ls5t_ard_3-0-0_109070_2009-06-16_final
2009-06-18 10:48:08	ga_ls5t_ard_3-0-0_107070_2009-06-18_final
2009-06-19 09:51:20	ga_ls5t_ard_3-0-0_098067_2009-06-19_final
2009-06-19 09:51:44	ga_ls5t_ard_3-0-0_098068_2009-06-19_final
2009-06-19 09:52:08	ga_ls5t_ard_3-0-0_098069_2009-06-19_final
2009-06-19 09:52:32	ga_ls5t_ard_3-0-0_098070_2009-06-19_final
2009-06-19 09:52:56	ga_ls5t_ard_3-0-0_098071_2009-06-19_final
2009-06-19 09:53:20	ga_ls5t_ard_3-0-0_098072_2009-06-19_final
2009-06-19 11:30:13	ga_ls5t_ard_3-0-0_114067_2009-06-19_final
2009-06-20 09:00:07	ga_ls5t_ard_3-0-0_089078_2009-06-19_final
2009-06-20 09:00:31	ga_ls5t_ard_3-0-0_089079_2009-06-19_final
2009-06-20 09:00:55	ga_ls5t_ard_3-0-0_089080_2009-06-19_final
2009-06-20 09:02:07	ga_ls5t_ard_3-0-0_089083_2009-06-19_final
2009-06-20 10:35:01	ga_ls5t_ard_3-0-0_105068_2009-06-20_final
2009-06-20 10:35:25	ga_ls5t_ard_3-0-0_105069_2009-06-20_final
2009-06-20 10:35:49	ga_ls5t_ard_3-0-0_105070_2009-06-20_final
2009-06-20 10:36:13	ga_ls5t_ard_3-0-0_105071_2009-06-20_final
2009-06-21 09:40:12	ga_ls5t_ard_3-0-0_096070_2009-06-21_final
2009-06-21 09:40:36	ga_ls5t_ard_3-0-0_096071_2009-06-21_final
2009-06-21 09:41:00	ga_ls5t_ard_3-0-0_096072_2009-06-21_final
2009-06-21 09:41:24	ga_ls5t_ard_3-0-0_096073_2009-06-21_final
2009-06-21 09:41:48	ga_ls5t_ard_3-0-0_096074_2009-06-21_final
2009-06-21 11:17:54	ga_ls5t_ard_3-0-0_112067_2009-06-21_final
2009-06-21 11:20:41	ga_ls5t_ard_3-0-0_112074_2009-06-21_final
2009-06-21 11:21:05	ga_ls5t_ard_3-0-0_112075_2009-06-21_final
2009-06-21 11:21:29	ga_ls5t_ard_3-0-0_112076_2009-06-21_final
2009-06-21 11:21:53	ga_ls5t_ard_3-0-0_112077_2009-06-21_final
2009-06-21 11:22:17	ga_ls5t_ard_3-0-0_112078_2009-06-21_final
2009-06-21 11:22:41	ga_ls5t_ard_3-0-0_112079_2009-06-21_final
2009-06-21 11:23:05	ga_ls5t_ard_3-0-0_112080_2009-06-21_final
2009-06-21 11:23:29	ga_ls5t_ard_3-0-0_112081_2009-06-21_final
2009-06-21 11:23:53	ga_ls5t_ard_3-0-0_112082_2009-06-21_final
2009-06-21 11:24:17	ga_ls5t_ard_3-0-0_112083_2009-06-21_final

Return to ga_ls5t_ard_3 across June 2009 overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2009

June

All days