Search ga_ls5t_ard_3 across June 2007

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
2007-06-01 10:28:32	ga_ls5t_ard_3-0-0_103068_2007-06-01_final
2007-06-01 10:28:57	ga_ls5t_ard_3-0-0_103069_2007-06-01_final
2007-06-01 10:29:20	ga_ls5t_ard_3-0-0_103070_2007-06-01_final
2007-06-01 10:29:44	ga_ls5t_ard_3-0-0_103071_2007-06-01_final
2007-06-01 10:30:08	ga_ls5t_ard_3-0-0_103072_2007-06-01_final
2007-06-01 10:30:32	ga_ls5t_ard_3-0-0_103073_2007-06-01_final
2007-06-01 10:30:56	ga_ls5t_ard_3-0-0_103074_2007-06-01_final
2007-06-01 10:31:20	ga_ls5t_ard_3-0-0_103075_2007-06-01_final
2007-06-01 10:31:44	ga_ls5t_ard_3-0-0_103076_2007-06-01_final
2007-06-01 10:32:08	ga_ls5t_ard_3-0-0_103077_2007-06-01_final
2007-06-01 10:32:32	ga_ls5t_ard_3-0-0_103078_2007-06-01_final
2007-06-01 10:32:56	ga_ls5t_ard_3-0-0_103079_2007-06-01_final
2007-06-01 10:33:20	ga_ls5t_ard_3-0-0_103080_2007-06-01_final
2007-06-01 10:33:43	ga_ls5t_ard_3-0-0_103081_2007-06-01_final
2007-06-01 10:34:08	ga_ls5t_ard_3-1-0_103082_2007-06-01_final
2007-06-02 09:34:54	ga_ls5t_ard_3-0-0_094073_2007-06-02_final
2007-06-02 09:35:18	ga_ls5t_ard_3-0-0_094074_2007-06-02_final
2007-06-02 09:35:42	ga_ls5t_ard_3-0-0_094075_2007-06-02_final
2007-06-02 09:36:06	ga_ls5t_ard_3-0-0_094076_2007-06-02_final
2007-06-02 09:36:30	ga_ls5t_ard_3-0-0_094077_2007-06-02_final
2007-06-02 09:36:54	ga_ls5t_ard_3-0-0_094078_2007-06-02_final
2007-06-02 09:37:18	ga_ls5t_ard_3-0-0_094079_2007-06-02_final
2007-06-02 09:37:41	ga_ls5t_ard_3-0-0_094080_2007-06-02_final
2007-06-02 09:38:05	ga_ls5t_ard_3-0-0_094081_2007-06-02_final
2007-06-02 09:38:29	ga_ls5t_ard_3-0-0_094082_2007-06-02_final
2007-06-02 09:39:41	ga_ls5t_ard_3-0-0_094085_2007-06-02_final
2007-06-02 09:40:05	ga_ls5t_ard_3-0-0_094086_2007-06-02_final
2007-06-02 09:40:29	ga_ls5t_ard_3-0-0_094087_2007-06-02_final
2007-06-02 11:11:23	ga_ls5t_ard_3-0-0_110067_2007-06-02_final
2007-06-02 11:12:35	ga_ls5t_ard_3-0-0_110070_2007-06-02_final
2007-06-02 11:12:59	ga_ls5t_ard_3-0-0_110071_2007-06-02_final
2007-06-02 11:13:23	ga_ls5t_ard_3-0-0_110072_2007-06-02_final
2007-06-02 11:13:47	ga_ls5t_ard_3-0-0_110073_2007-06-02_final
2007-06-02 11:14:11	ga_ls5t_ard_3-1-0_110074_2007-06-02_final
2007-06-02 11:14:35	ga_ls5t_ard_3-0-0_110075_2007-06-02_final
2007-06-02 11:14:59	ga_ls5t_ard_3-0-0_110076_2007-06-02_final
2007-06-02 11:15:23	ga_ls5t_ard_3-0-0_110077_2007-06-02_final
2007-06-02 11:15:47	ga_ls5t_ard_3-0-0_110078_2007-06-02_final
2007-06-02 11:16:11	ga_ls5t_ard_3-0-0_110079_2007-06-02_final
2007-06-02 11:16:34	ga_ls5t_ard_3-0-0_110080_2007-06-02_final
2007-06-02 11:16:58	ga_ls5t_ard_3-0-0_110081_2007-06-02_final
2007-06-02 11:17:22	ga_ls5t_ard_3-0-0_110082_2007-06-02_final
2007-06-02 11:17:46	ga_ls5t_ard_3-0-0_110083_2007-06-02_final
2007-06-02 11:18:10	ga_ls5t_ard_3-0-0_110084_2007-06-02_final
2007-06-24 10:34:18	ga_ls5t_ard_3-0-0_104068_2007-06-24_final
2007-06-24 10:34:42	ga_ls5t_ard_3-0-0_104069_2007-06-24_final
2007-06-24 10:37:06	ga_ls5t_ard_3-0-0_104075_2007-06-24_final
2007-06-24 10:37:30	ga_ls5t_ard_3-0-0_104076_2007-06-24_final
2007-06-24 10:37:53	ga_ls5t_ard_3-0-0_104077_2007-06-24_final
2007-06-24 10:38:18	ga_ls5t_ard_3-0-0_104078_2007-06-24_final
2007-06-24 10:38:41	ga_ls5t_ard_3-0-0_104079_2007-06-24_final
2007-06-24 10:39:05	ga_ls5t_ard_3-0-0_104080_2007-06-24_final
2007-06-24 10:39:29	ga_ls5t_ard_3-0-0_104081_2007-06-24_final
2007-06-24 10:39:53	ga_ls5t_ard_3-0-0_104082_2007-06-24_final
2007-06-25 09:43:27	ga_ls5t_ard_3-0-0_095080_2007-06-25_final
2007-06-25 09:43:51	ga_ls5t_ard_3-0-0_095081_2007-06-25_final
2007-06-25 09:44:15	ga_ls5t_ard_3-0-0_095082_2007-06-25_final
2007-06-25 09:44:39	ga_ls5t_ard_3-0-0_095083_2007-06-25_final
2007-06-25 09:45:03	ga_ls5t_ard_3-0-0_095084_2007-06-25_final
2007-06-25 09:45:26	ga_ls5t_ard_3-0-0_095085_2007-06-25_final
2007-06-26 10:22:42	ga_ls5t_ard_3-0-0_102070_2007-06-26_final
2007-06-26 10:23:06	ga_ls5t_ard_3-0-0_102071_2007-06-26_final
2007-06-26 10:23:30	ga_ls5t_ard_3-0-0_102072_2007-06-26_final
2007-06-26 10:23:54	ga_ls5t_ard_3-0-0_102073_2007-06-26_final
2007-06-26 10:24:18	ga_ls5t_ard_3-0-0_102074_2007-06-26_final
2007-06-26 10:24:42	ga_ls5t_ard_3-0-0_102075_2007-06-26_final
2007-06-26 10:25:06	ga_ls5t_ard_3-0-0_102076_2007-06-26_final
2007-06-26 10:25:29	ga_ls5t_ard_3-0-0_102077_2007-06-26_final
2007-06-26 10:25:54	ga_ls5t_ard_3-0-0_102078_2007-06-26_final
2007-06-26 10:26:17	ga_ls5t_ard_3-0-0_102079_2007-06-26_final
2007-06-26 10:26:41	ga_ls5t_ard_3-0-0_102080_2007-06-26_final
2007-06-26 10:27:05	ga_ls5t_ard_3-0-0_102081_2007-06-26_final
2007-06-26 10:27:29	ga_ls5t_ard_3-0-0_102082_2007-06-26_final
2007-06-27 09:25:52	ga_ls5t_ard_3-0-0_093067_2007-06-26_final
2007-06-27 09:26:16	ga_ls5t_ard_3-1-0_093068_2007-06-26_final
2007-06-27 09:29:03	ga_ls5t_ard_3-0-0_093075_2007-06-26_final
2007-06-27 09:29:27	ga_ls5t_ard_3-0-0_093076_2007-06-26_final
2007-06-27 09:29:51	ga_ls5t_ard_3-1-0_093077_2007-06-26_final
2007-06-27 09:30:15	ga_ls5t_ard_3-0-0_093078_2007-06-27_final
2007-06-27 09:30:39	ga_ls5t_ard_3-0-0_093079_2007-06-27_final
2007-06-27 09:31:03	ga_ls5t_ard_3-0-0_093080_2007-06-27_final
2007-06-27 09:31:27	ga_ls5t_ard_3-0-0_093081_2007-06-27_final
2007-06-27 09:31:51	ga_ls5t_ard_3-0-0_093082_2007-06-27_final
2007-06-27 09:32:15	ga_ls5t_ard_3-0-0_093083_2007-06-27_final
2007-06-27 09:32:38	ga_ls5t_ard_3-0-0_093084_2007-06-27_final
2007-06-27 11:05:57	ga_ls5t_ard_3-0-0_109070_2007-06-27_final
2007-06-27 11:06:21	ga_ls5t_ard_3-0-0_109071_2007-06-27_final
2007-06-28 10:10:42	ga_ls5t_ard_3-0-0_100071_2007-06-28_final
2007-06-28 10:11:06	ga_ls5t_ard_3-0-0_100072_2007-06-28_final
2007-06-28 10:11:30	ga_ls5t_ard_3-0-0_100073_2007-06-28_final
2007-06-28 10:11:54	ga_ls5t_ard_3-0-0_100074_2007-06-28_final
2007-06-28 10:12:18	ga_ls5t_ard_3-0-0_100075_2007-06-28_final
2007-06-28 10:12:42	ga_ls5t_ard_3-0-0_100076_2007-06-28_final
2007-06-28 10:13:05	ga_ls5t_ard_3-0-0_100077_2007-06-28_final
2007-06-28 10:13:30	ga_ls5t_ard_3-0-0_100078_2007-06-28_final
2007-06-28 10:13:53	ga_ls5t_ard_3-0-0_100079_2007-06-28_final
2007-06-28 10:14:17	ga_ls5t_ard_3-0-0_100080_2007-06-28_final
2007-06-28 10:14:41	ga_ls5t_ard_3-0-0_100081_2007-06-28_final
2007-06-28 10:15:05	ga_ls5t_ard_3-0-0_100082_2007-06-28_final
2007-06-28 10:15:29	ga_ls5t_ard_3-0-0_100083_2007-06-28_final

Return to ga_ls5t_ard_3 across June 2007 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

2007

June

All days