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
2010-10-09 09:27:15	ga_ls5t_ard_3-0-0_093080_2010-10-08_final
2010-10-09 09:27:39	ga_ls5t_ard_3-0-0_093081_2010-10-08_final
2010-10-09 09:28:03	ga_ls5t_ard_3-0-0_093082_2010-10-08_final
2010-10-09 09:28:27	ga_ls5t_ard_3-0-0_093083_2010-10-08_final
2010-10-09 09:28:51	ga_ls5t_ard_3-0-0_093084_2010-10-08_final
2010-10-09 09:29:15	ga_ls5t_ard_3-0-0_093085_2010-10-08_final
2010-10-20 09:08:36	ga_ls5t_ard_3-0-0_090080_2010-10-19_final
2010-10-20 09:09:00	ga_ls5t_ard_3-0-0_090081_2010-10-19_final
2010-10-20 09:09:24	ga_ls5t_ard_3-0-0_090082_2010-10-19_final
2010-10-20 09:09:48	ga_ls5t_ard_3-0-0_090083_2010-10-19_final
2010-10-20 09:10:12	ga_ls5t_ard_3-0-0_090084_2010-10-19_final
2010-10-20 09:10:36	ga_ls5t_ard_3-0-0_090085_2010-10-19_final
2010-10-20 09:11:00	ga_ls5t_ard_3-0-0_090086_2010-10-19_final
2010-10-20 09:11:48	ga_ls5t_ard_3-0-0_090088_2010-10-19_final
2010-10-20 09:12:12	ga_ls5t_ard_3-0-0_090089_2010-10-19_final
2010-10-20 10:42:42	ga_ls5t_ard_3-0-0_106068_2010-10-20_final
2010-10-20 10:43:06	ga_ls5t_ard_3-0-0_106069_2010-10-20_final
2010-10-20 10:43:30	ga_ls5t_ard_3-0-0_106070_2010-10-20_final
2010-10-20 10:43:54	ga_ls5t_ard_3-0-0_106071_2010-10-20_final
2010-10-20 10:44:17	ga_ls5t_ard_3-0-0_106072_2010-10-20_final
2010-10-20 10:44:41	ga_ls5t_ard_3-0-0_106073_2010-10-20_final
2010-10-20 10:45:05	ga_ls5t_ard_3-0-0_106074_2010-10-20_final
2010-10-20 10:45:29	ga_ls5t_ard_3-0-0_106075_2010-10-20_final
2010-10-20 10:45:53	ga_ls5t_ard_3-0-0_106076_2010-10-20_final
2010-10-20 10:46:17	ga_ls5t_ard_3-0-0_106077_2010-10-20_final
2010-10-20 10:46:41	ga_ls5t_ard_3-0-0_106078_2010-10-20_final
2010-10-20 10:47:05	ga_ls5t_ard_3-0-0_106079_2010-10-20_final
2010-10-20 10:47:29	ga_ls5t_ard_3-0-0_106080_2010-10-20_final
2010-10-20 10:47:53	ga_ls5t_ard_3-0-0_106081_2010-10-20_final
2010-10-20 10:48:17	ga_ls5t_ard_3-0-0_106082_2010-10-20_final
2010-10-20 10:48:41	ga_ls5t_ard_3-0-0_106083_2010-10-20_final
2010-10-21 09:50:15	ga_ls5t_ard_3-0-0_097076_2010-10-21_final
2010-10-21 09:50:39	ga_ls5t_ard_3-0-0_097077_2010-10-21_final
2010-10-21 09:51:03	ga_ls5t_ard_3-0-0_097078_2010-10-21_final
2010-10-21 09:51:27	ga_ls5t_ard_3-0-0_097079_2010-10-21_final
2010-10-21 09:51:51	ga_ls5t_ard_3-0-0_097080_2010-10-21_final
2010-10-21 09:52:15	ga_ls5t_ard_3-0-0_097081_2010-10-21_final
2010-10-21 09:52:39	ga_ls5t_ard_3-0-0_097082_2010-10-21_final
2010-10-21 09:53:03	ga_ls5t_ard_3-0-0_097083_2010-10-21_final
2010-10-21 09:53:27	ga_ls5t_ard_3-0-0_097084_2010-10-21_final
2010-10-21 09:53:51	ga_ls5t_ard_3-0-0_097085_2010-10-21_final
2010-10-23 09:34:17	ga_ls5t_ard_3-0-0_095067_2010-10-23_final
2010-10-23 09:36:41	ga_ls5t_ard_3-0-0_095073_2010-10-23_final
2010-10-23 09:37:05	ga_ls5t_ard_3-0-0_095074_2010-10-23_final
2010-10-23 09:37:29	ga_ls5t_ard_3-0-0_095075_2010-10-23_final
2010-10-23 09:37:53	ga_ls5t_ard_3-0-0_095076_2010-10-23_final
2010-10-23 09:38:17	ga_ls5t_ard_3-0-0_095077_2010-10-23_final
2010-10-23 09:38:41	ga_ls5t_ard_3-0-0_095078_2010-10-23_final
2010-10-23 09:39:05	ga_ls5t_ard_3-0-0_095079_2010-10-23_final
2010-10-23 09:39:29	ga_ls5t_ard_3-0-0_095080_2010-10-23_final
2010-10-23 09:39:53	ga_ls5t_ard_3-0-0_095081_2010-10-23_final
2010-10-23 09:40:17	ga_ls5t_ard_3-0-0_095082_2010-10-23_final
2010-10-23 09:41:53	ga_ls5t_ard_3-0-0_095086_2010-10-23_final
2010-10-23 09:42:17	ga_ls5t_ard_3-0-0_095087_2010-10-23_final
2010-10-23 11:17:34	ga_ls5t_ard_3-0-0_111078_2010-10-23_final
2010-10-23 11:17:58	ga_ls5t_ard_3-0-0_111079_2010-10-23_final
2010-10-23 11:18:22	ga_ls5t_ard_3-0-0_111080_2010-10-23_final
2010-10-23 11:18:46	ga_ls5t_ard_3-0-0_111081_2010-10-23_final
2010-10-23 11:19:10	ga_ls5t_ard_3-0-0_111082_2010-10-23_final
2010-10-23 11:19:34	ga_ls5t_ard_3-0-0_111083_2010-10-23_final
2010-10-23 11:19:58	ga_ls5t_ard_3-0-0_111084_2010-10-23_final
2010-10-24 10:21:08	ga_ls5t_ard_3-0-0_102076_2010-10-24_final
2010-10-24 10:22:20	ga_ls5t_ard_3-0-0_102079_2010-10-24_final
2010-10-24 10:22:44	ga_ls5t_ard_3-0-0_102080_2010-10-24_final
2010-10-24 10:23:08	ga_ls5t_ard_3-0-0_102081_2010-10-24_final
2010-10-24 10:23:32	ga_ls5t_ard_3-0-0_102082_2010-10-24_final
2010-10-25 09:21:55	ga_ls5t_ard_3-1-0_093067_2010-10-24_final
2010-10-25 09:22:19	ga_ls5t_ard_3-1-0_093068_2010-10-24_final
2010-10-25 09:24:43	ga_ls5t_ard_3-0-0_093074_2010-10-24_final
2010-10-25 09:25:06	ga_ls5t_ard_3-0-0_093075_2010-10-24_final
2010-10-25 09:25:30	ga_ls5t_ard_3-0-0_093076_2010-10-24_final
2010-10-25 09:25:54	ga_ls5t_ard_3-0-0_093077_2010-10-24_final
2010-10-25 09:26:18	ga_ls5t_ard_3-0-0_093078_2010-10-24_final
2010-10-25 09:26:42	ga_ls5t_ard_3-0-0_093079_2010-10-24_final
2010-10-25 09:27:06	ga_ls5t_ard_3-0-0_093080_2010-10-24_final
2010-10-25 09:27:30	ga_ls5t_ard_3-0-0_093081_2010-10-24_final
2010-10-25 09:27:54	ga_ls5t_ard_3-0-0_093082_2010-10-24_final
2010-10-25 09:28:18	ga_ls5t_ard_3-0-0_093083_2010-10-24_final
2010-10-25 09:28:42	ga_ls5t_ard_3-0-0_093084_2010-10-24_final
2010-10-25 09:29:06	ga_ls5t_ard_3-0-0_093085_2010-10-24_final
2010-10-25 09:29:30	ga_ls5t_ard_3-0-0_093086_2010-10-24_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
2010-10-25 11:04:23	ga_ls5t_ard_3-0-0_109076_2010-10-25_final
2010-10-25 11:04:47	ga_ls5t_ard_3-0-0_109077_2010-10-25_final
2010-10-25 11:05:11	ga_ls5t_ard_3-0-0_109078_2010-10-25_final
2010-10-25 11:05:35	ga_ls5t_ard_3-0-0_109079_2010-10-25_final
2010-10-25 11:05:59	ga_ls5t_ard_3-0-0_109080_2010-10-25_final
2010-10-25 11:06:23	ga_ls5t_ard_3-0-0_109081_2010-10-25_final
2010-10-25 11:06:47	ga_ls5t_ard_3-0-0_109082_2010-10-25_final
2010-10-25 11:07:11	ga_ls5t_ard_3-0-0_109083_2010-10-25_final
2010-10-25 11:07:35	ga_ls5t_ard_3-0-0_109084_2010-10-25_final
2010-10-26 10:06:46	ga_ls5t_ard_3-0-0_100071_2010-10-26_final
2010-10-26 10:07:10	ga_ls5t_ard_3-0-0_100072_2010-10-26_final
2010-10-26 10:07:34	ga_ls5t_ard_3-0-0_100073_2010-10-26_final
2010-10-26 10:08:22	ga_ls5t_ard_3-0-0_100075_2010-10-26_final
2010-10-26 10:09:34	ga_ls5t_ard_3-0-0_100078_2010-10-26_final
2010-10-26 10:09:57	ga_ls5t_ard_3-0-0_100079_2010-10-26_final
2010-10-26 10:10:21	ga_ls5t_ard_3-0-0_100080_2010-10-26_final
2010-10-26 10:10:45	ga_ls5t_ard_3-0-0_100081_2010-10-26_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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2010

October

All days