Search ga_ls5t_ard_3 across June 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

66 results

Time (local)	Label
2003-06-12 09:33:17	ga_ls5t_ard_3-0-0_097069_2003-06-12_final
2003-06-12 09:33:41	ga_ls5t_ard_3-0-0_097070_2003-06-12_final
2003-06-12 09:34:05	ga_ls5t_ard_3-0-0_097071_2003-06-12_final
2003-06-12 09:34:29	ga_ls5t_ard_3-0-0_097072_2003-06-12_final
2003-06-12 09:34:53	ga_ls5t_ard_3-0-0_097073_2003-06-12_final
2003-06-12 09:35:17	ga_ls5t_ard_3-0-0_097074_2003-06-12_final
2003-06-12 09:35:41	ga_ls5t_ard_3-0-0_097075_2003-06-12_final
2003-06-12 09:36:05	ga_ls5t_ard_3-0-0_097076_2003-06-12_final
2003-06-12 09:36:29	ga_ls5t_ard_3-0-0_097077_2003-06-12_final
2003-06-12 09:36:53	ga_ls5t_ard_3-0-0_097078_2003-06-12_final
2003-06-12 09:37:17	ga_ls5t_ard_3-0-0_097079_2003-06-12_final
2003-06-12 09:37:41	ga_ls5t_ard_3-0-0_097080_2003-06-12_final
2003-06-12 09:38:05	ga_ls5t_ard_3-0-0_097081_2003-06-12_final
2003-06-12 09:38:29	ga_ls5t_ard_3-0-0_097082_2003-06-12_final
2003-06-12 09:38:53	ga_ls5t_ard_3-0-0_097083_2003-06-12_final
2003-06-12 11:14:10	ga_ls5t_ard_3-0-0_113074_2003-06-12_final
2003-06-12 11:14:34	ga_ls5t_ard_3-0-0_113075_2003-06-12_final
2003-06-12 11:14:58	ga_ls5t_ard_3-0-0_113076_2003-06-12_final
2003-06-12 11:15:22	ga_ls5t_ard_3-0-0_113077_2003-06-12_final
2003-06-12 11:15:46	ga_ls5t_ard_3-0-0_113078_2003-06-12_final
2003-06-12 11:16:10	ga_ls5t_ard_3-0-0_113079_2003-06-12_final
2003-06-12 11:16:34	ga_ls5t_ard_3-0-0_113080_2003-06-12_final
2003-06-12 11:16:58	ga_ls5t_ard_3-1-0_113081_2003-06-12_final
2003-06-12 11:17:22	ga_ls5t_ard_3-0-0_113082_2003-06-12_final
2003-06-12 11:17:46	ga_ls5t_ard_3-0-0_113083_2003-06-12_final
2003-06-12 11:18:10	ga_ls5t_ard_3-0-0_113084_2003-06-12_final
2003-06-21 11:08:12	ga_ls5t_ard_3-0-0_112074_2003-06-21_final
2003-06-21 11:08:36	ga_ls5t_ard_3-0-0_112075_2003-06-21_final
2003-06-21 11:11:00	ga_ls5t_ard_3-0-0_112081_2003-06-21_final
2003-06-21 11:11:24	ga_ls5t_ard_3-0-0_112082_2003-06-21_final
2003-06-21 11:11:48	ga_ls5t_ard_3-0-0_112083_2003-06-21_final
2003-06-21 11:12:12	ga_ls5t_ard_3-0-0_112084_2003-06-21_final
2003-06-28 11:14:33	ga_ls5t_ard_3-0-0_113074_2003-06-28_final
2003-06-28 11:14:57	ga_ls5t_ard_3-0-0_113075_2003-06-28_final
2003-06-28 11:15:21	ga_ls5t_ard_3-0-0_113076_2003-06-28_final
2003-06-28 11:15:45	ga_ls5t_ard_3-0-0_113077_2003-06-28_final
2003-06-28 11:16:09	ga_ls5t_ard_3-0-0_113078_2003-06-28_final
2003-06-28 11:16:33	ga_ls5t_ard_3-0-0_113079_2003-06-28_final
2003-06-28 11:16:57	ga_ls5t_ard_3-0-0_113080_2003-06-28_final
2003-06-28 11:17:21	ga_ls5t_ard_3-0-0_113081_2003-06-28_final
2003-06-28 11:17:45	ga_ls5t_ard_3-0-0_113082_2003-06-28_final
2003-06-28 11:18:09	ga_ls5t_ard_3-0-0_113083_2003-06-28_final
2003-06-30 09:20:33	ga_ls5t_ard_3-0-0_095067_2003-06-29_final
2003-06-30 09:22:33	ga_ls5t_ard_3-0-0_095072_2003-06-29_final
2003-06-30 09:22:57	ga_ls5t_ard_3-0-0_095073_2003-06-29_final
2003-06-30 09:23:21	ga_ls5t_ard_3-0-0_095074_2003-06-29_final
2003-06-30 09:23:45	ga_ls5t_ard_3-0-0_095075_2003-06-29_final
2003-06-30 09:24:09	ga_ls5t_ard_3-0-0_095076_2003-06-29_final
2003-06-30 09:24:33	ga_ls5t_ard_3-0-0_095077_2003-06-29_final
2003-06-30 09:26:08	ga_ls5t_ard_3-0-0_095081_2003-06-29_final
2003-06-30 09:26:33	ga_ls5t_ard_3-0-0_095082_2003-06-29_final
2003-06-30 09:26:57	ga_ls5t_ard_3-0-0_095083_2003-06-29_final
2003-06-30 10:59:26	ga_ls5t_ard_3-0-0_111067_2003-06-30_final
2003-06-30 10:59:50	ga_ls5t_ard_3-0-0_111068_2003-06-30_final
2003-06-30 11:01:02	ga_ls5t_ard_3-1-0_111071_2003-06-30_final
2003-06-30 11:01:26	ga_ls5t_ard_3-0-0_111072_2003-06-30_final
2003-06-30 11:02:14	ga_ls5t_ard_3-0-0_111074_2003-06-30_final
2003-06-30 11:02:38	ga_ls5t_ard_3-0-0_111075_2003-06-30_final
2003-06-30 11:03:02	ga_ls5t_ard_3-0-0_111076_2003-06-30_final
2003-06-30 11:03:26	ga_ls5t_ard_3-0-0_111077_2003-06-30_final
2003-06-30 11:03:50	ga_ls5t_ard_3-0-0_111078_2003-06-30_final
2003-06-30 11:04:14	ga_ls5t_ard_3-0-0_111079_2003-06-30_final
2003-06-30 11:04:38	ga_ls5t_ard_3-0-0_111080_2003-06-30_final
2003-06-30 11:05:02	ga_ls5t_ard_3-0-0_111081_2003-06-30_final
2003-06-30 11:05:26	ga_ls5t_ard_3-0-0_111082_2003-06-30_final
2003-06-30 11:05:50	ga_ls5t_ard_3-0-0_111083_2003-06-30_final

Return to ga_ls5t_ard_3 across June 2003 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

2003

June

All days