Search ga_ls7e_ard_3 whole collection

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

49 results

Time (local)	Label
1999-08-05 11:25:11	ga_ls7e_ard_3-0-0_112074_1999-08-05_final
2000-04-10 11:15:40	ga_ls7e_ard_3-0-0_111067_2000-04-10_final
2000-06-25 10:07:39	ga_ls7e_ard_3-0-0_099084_2000-06-25_final
2000-06-26 09:14:00	ga_ls7e_ard_3-0-0_090089_2000-06-25_final
2000-07-28 10:46:47	ga_ls7e_ard_3-1-0_106075_2000-07-28_final
2002-08-01 10:55:46	ga_ls7e_ard_3-0-0_108074_2002-08-01_final
2002-11-16 10:37:23	ga_ls7e_ard_3-0-0_105075_2002-11-16_final
2002-12-07 10:55:48	ga_ls7e_ard_3-1-0_108074_2002-12-07_final
2002-12-31 10:05:15	ga_ls7e_ard_3-0-0_100071_2002-12-31_final
2003-07-26 11:03:01	ga_ls7e_ard_3-0-0_109076_2003-07-26_final
2003-10-18 10:38:02	ga_ls7e_ard_3-0-0_105076_2003-10-18_final
2003-10-30 11:03:44	ga_ls7e_ard_3-0-0_109078_2003-10-30_final
2004-07-23 10:44:54	ga_ls7e_ard_3-0-0_106076_2004-07-23_final
2004-10-14 09:40:34	ga_ls7e_ard_3-0-0_095086_2004-10-14_final
2005-05-28 11:03:42	ga_ls7e_ard_3-0-0_109075_2005-05-28_final
2005-08-27 10:45:14	ga_ls7e_ard_3-0-0_106076_2005-08-27_final
2005-08-30 09:40:25	ga_ls7e_ard_3-0-0_095084_2005-08-30_final
2005-11-27 09:33:47	ga_ls7e_ard_3-0-0_094082_2005-11-27_final
2005-11-29 09:23:25	ga_ls7e_ard_3-0-0_092087_2005-11-28_final
2006-07-18 09:26:36	ga_ls7e_ard_3-0-0_093079_2006-07-17_final
2006-11-01 11:40:57	ga_ls7e_ard_3-0-0_115075_2006-11-01_final
2006-11-07 11:07:33	ga_ls7e_ard_3-0-0_109084_2006-11-07_final
2007-10-15 10:29:13	ga_ls7e_ard_3-0-0_103081_2007-10-15_final
2007-11-24 09:36:59	ga_ls7e_ard_3-1-0_095073_2007-11-24_final
2009-07-27 10:09:34	ga_ls7e_ard_3-0-0_100077_2009-07-27_final
2010-01-29 09:09:12	ga_ls7e_ard_3-0-0_090077_2010-01-28_final
2010-08-28 09:44:15	ga_ls7e_ard_3-0-0_095086_2010-08-28_final
2010-10-29 09:55:39	ga_ls7e_ard_3-0-0_097083_2010-10-29_final
2010-11-13 10:51:04	ga_ls7e_ard_3-0-0_106082_2010-11-13_final
2011-02-09 10:01:33	ga_ls7e_ard_3-1-0_098080_2011-02-09_final
2011-04-04 09:27:28	ga_ls7e_ard_3-0-0_092087_2011-04-03_final
2011-08-02 10:12:45	ga_ls7e_ard_3-0-0_100077_2011-08-02_final
2014-10-01 11:27:20	ga_ls7e_ard_3-0-0_112067_2014-10-01_final
2014-12-27 11:34:10	ga_ls7e_ard_3-0-0_113067_2014-12-27_final
2015-06-24 10:32:28	ga_ls7e_ard_3-0-0_102080_2015-06-24_final
2015-07-09 09:46:31	ga_ls7e_ard_3-1-0_095073_2015-07-09_final
2016-10-28 09:22:59	ga_ls7e_ard_3-0-0_090084_2016-10-27_final
2017-08-11 10:16:32	ga_ls7e_ard_3-0-0_099079_2017-08-11_final
2018-07-08 09:57:01	ga_ls7e_ard_3-0-0_096085_2018-07-08_final
2019-02-13 10:13:12	ga_ls7e_ard_3-0-0_100077_2019-02-13_final
2019-03-07 11:10:19	ga_ls7e_ard_3-1-0_110067_2019-03-07_final
2019-05-05 09:18:25	ga_ls7e_ard_3-1-0_091086_2019-05-04_final
2019-08-14 11:07:10	ga_ls7e_ard_3-0-0_110074_2019-08-14_final
2019-08-28 11:16:09	ga_ls7e_ard_3-1-0_112067_2019-08-28_final
2019-09-02 09:59:58	ga_ls7e_ard_3-1-0_099078_2019-09-02_final
2019-09-17 09:18:27	ga_ls7e_ard_3-1-0_092084_2019-09-16_final
2019-11-10 10:16:43	ga_ls7e_ard_3-1-0_102081_2019-11-10_final
2019-12-13 09:19:07	ga_ls7e_ard_3-1-0_093080_2019-12-12_final
2020-07-11 09:33:28	ga_ls7e_ard_3-1-0_098068_2020-07-11_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years