Search ga_ls5t_ard_3 across May 2003

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

58 results

Time (local)	Label
2003-05-04 11:07:16	ga_ls5t_ard_3-0-0_112074_2003-05-04_final
2003-05-04 11:07:40	ga_ls5t_ard_3-0-0_112075_2003-05-04_final
2003-05-04 11:08:04	ga_ls5t_ard_3-0-0_112076_2003-05-04_final
2003-05-04 11:08:28	ga_ls5t_ard_3-0-0_112077_2003-05-04_final
2003-05-04 11:08:52	ga_ls5t_ard_3-0-0_112078_2003-05-04_final
2003-05-04 11:09:16	ga_ls5t_ard_3-0-0_112079_2003-05-04_final
2003-05-04 11:09:40	ga_ls5t_ard_3-0-0_112080_2003-05-04_final
2003-05-04 11:10:04	ga_ls5t_ard_3-0-0_112081_2003-05-04_final
2003-05-04 11:10:28	ga_ls5t_ard_3-0-0_112082_2003-05-04_final
2003-05-04 11:10:52	ga_ls5t_ard_3-0-0_112083_2003-05-04_final
2003-05-04 11:11:16	ga_ls5t_ard_3-0-0_112084_2003-05-04_final
2003-05-11 11:13:35	ga_ls5t_ard_3-0-0_113074_2003-05-11_final
2003-05-11 11:13:58	ga_ls5t_ard_3-0-0_113075_2003-05-11_final
2003-05-11 11:14:22	ga_ls5t_ard_3-0-0_113076_2003-05-11_final
2003-05-11 11:14:46	ga_ls5t_ard_3-0-0_113077_2003-05-11_final
2003-05-11 11:15:10	ga_ls5t_ard_3-0-0_113078_2003-05-11_final
2003-05-11 11:15:34	ga_ls5t_ard_3-0-0_113079_2003-05-11_final
2003-05-11 11:15:58	ga_ls5t_ard_3-0-0_113080_2003-05-11_final
2003-05-11 11:16:22	ga_ls5t_ard_3-1-0_113081_2003-05-11_final
2003-05-11 11:16:46	ga_ls5t_ard_3-0-0_113082_2003-05-11_final
2003-05-11 11:17:10	ga_ls5t_ard_3-0-0_113083_2003-05-11_final
2003-05-11 11:17:34	ga_ls5t_ard_3-0-0_113084_2003-05-11_final
2003-05-13 10:58:51	ga_ls5t_ard_3-1-0_111068_2003-05-13_final
2003-05-13 11:00:03	ga_ls5t_ard_3-1-0_111071_2003-05-13_final
2003-05-13 11:00:27	ga_ls5t_ard_3-0-0_111072_2003-05-13_final
2003-05-13 11:00:51	ga_ls5t_ard_3-0-0_111073_2003-05-13_final
2003-05-13 11:01:15	ga_ls5t_ard_3-0-0_111074_2003-05-13_final
2003-05-13 11:01:39	ga_ls5t_ard_3-0-0_111075_2003-05-13_final
2003-05-13 11:02:03	ga_ls5t_ard_3-0-0_111076_2003-05-13_final
2003-05-13 11:02:27	ga_ls5t_ard_3-0-0_111077_2003-05-13_final
2003-05-13 11:02:51	ga_ls5t_ard_3-0-0_111078_2003-05-13_final
2003-05-13 11:03:15	ga_ls5t_ard_3-0-0_111079_2003-05-13_final
2003-05-13 11:04:02	ga_ls5t_ard_3-0-0_111081_2003-05-13_final
2003-05-13 11:04:26	ga_ls5t_ard_3-0-0_111082_2003-05-13_final
2003-05-13 11:04:50	ga_ls5t_ard_3-0-0_111083_2003-05-13_final
2003-05-13 11:05:14	ga_ls5t_ard_3-0-0_111084_2003-05-13_final
2003-05-20 11:07:35	ga_ls5t_ard_3-0-0_112074_2003-05-20_final
2003-05-20 11:07:59	ga_ls5t_ard_3-0-0_112075_2003-05-20_final
2003-05-20 11:08:23	ga_ls5t_ard_3-0-0_112076_2003-05-20_final
2003-05-20 11:08:47	ga_ls5t_ard_3-0-0_112077_2003-05-20_final
2003-05-20 11:09:11	ga_ls5t_ard_3-0-0_112078_2003-05-20_final
2003-05-20 11:09:35	ga_ls5t_ard_3-0-0_112079_2003-05-20_final
2003-05-20 11:09:59	ga_ls5t_ard_3-0-0_112080_2003-05-20_final
2003-05-20 11:10:23	ga_ls5t_ard_3-0-0_112081_2003-05-20_final
2003-05-20 11:10:47	ga_ls5t_ard_3-0-0_112082_2003-05-20_final
2003-05-20 11:11:11	ga_ls5t_ard_3-0-0_112083_2003-05-20_final
2003-05-20 11:11:35	ga_ls5t_ard_3-0-0_112084_2003-05-20_final
2003-05-27 11:13:53	ga_ls5t_ard_3-0-0_113074_2003-05-27_final
2003-05-27 11:14:17	ga_ls5t_ard_3-0-0_113075_2003-05-27_final
2003-05-27 11:14:41	ga_ls5t_ard_3-0-0_113076_2003-05-27_final
2003-05-27 11:15:05	ga_ls5t_ard_3-0-0_113077_2003-05-27_final
2003-05-27 11:15:29	ga_ls5t_ard_3-0-0_113078_2003-05-27_final
2003-05-27 11:15:53	ga_ls5t_ard_3-0-0_113079_2003-05-27_final
2003-05-27 11:16:17	ga_ls5t_ard_3-0-0_113080_2003-05-27_final
2003-05-27 11:16:41	ga_ls5t_ard_3-1-0_113081_2003-05-27_final
2003-05-27 11:17:05	ga_ls5t_ard_3-0-0_113082_2003-05-27_final
2003-05-27 11:17:29	ga_ls5t_ard_3-0-0_113083_2003-05-27_final
2003-05-27 11:17:53	ga_ls5t_ard_3-0-0_113084_2003-05-27_final

Return to ga_ls5t_ard_3 across May 2003 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

2003

May

All days