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

46 results

Time (local)	Label
1999-11-30 10:06:42	ga_ls7e_ard_3-0-0_099079_1999-11-30_final
2000-12-10 10:55:19	ga_ls7e_ard_3-0-0_107083_2000-12-10_final
2000-12-28 09:03:46	ga_ls7e_ard_3-0-0_089082_2000-12-27_final
2001-01-10 10:10:10	ga_ls7e_ard_3-0-0_100078_2001-01-10_final
2004-12-16 08:56:20	ga_ls7e_ard_3-0-0_088082_2004-12-15_final
2005-06-09 11:25:09	ga_ls7e_ard_3-0-0_113067_2005-06-09_final
2005-07-03 10:39:12	ga_ls7e_ard_3-0-0_105076_2005-07-03_final
2005-11-10 10:25:17	ga_ls7e_ard_3-0-0_103072_2005-11-10_final
2006-06-23 09:35:46	ga_ls7e_ard_3-0-0_094086_2006-06-23_final
2006-06-28 09:50:17	ga_ls7e_ard_3-1-0_097076_2006-06-28_final
2006-11-02 10:43:45	ga_ls7e_ard_3-0-0_106071_2006-11-02_final
2007-01-29 09:57:39	ga_ls7e_ard_3-0-0_098078_2007-01-29_final
2007-02-21 10:01:11	ga_ls7e_ard_3-1-0_099071_2007-02-21_final
2007-09-11 09:01:57	ga_ls7e_ard_3-0-0_089079_2007-09-10_final
2007-09-14 09:30:26	ga_ls7e_ard_3-0-0_094073_2007-09-14_final
2008-03-27 10:03:40	ga_ls7e_ard_3-0-0_099078_2008-03-27_final
2008-05-02 11:15:21	ga_ls7e_ard_3-0-0_111072_2008-05-02_final
2008-08-04 11:30:04	ga_ls7e_ard_3-0-0_113080_2008-08-04_final
2008-10-26 10:17:19	ga_ls7e_ard_3-0-0_102069_2008-10-26_final
2008-11-27 10:17:46	ga_ls7e_ard_3-0-0_102069_2008-11-27_final
2009-05-24 10:09:21	ga_ls7e_ard_3-0-0_100076_2009-05-24_final
2009-08-30 09:53:07	ga_ls7e_ard_3-0-0_098067_2009-08-30_final
2009-11-12 08:56:54	ga_ls7e_ard_3-0-0_088080_2009-11-11_final
2010-10-25 10:15:57	ga_ls7e_ard_3-1-0_101072_2010-10-25_final
2011-03-29 09:56:33	ga_ls7e_ard_3-0-0_098067_2011-03-29_final
2011-04-03 10:19:30	ga_ls7e_ard_3-0-0_101078_2011-04-03_final
2011-04-15 09:08:31	ga_ls7e_ard_3-0-0_089086_2011-04-14_final
2011-06-24 10:03:04	ga_ls7e_ard_3-0-0_099068_2011-06-24_final
2011-09-23 09:45:03	ga_ls7e_ard_3-0-0_096070_2011-09-23_final
2012-08-06 09:59:10	ga_ls7e_ard_3-0-0_098070_2012-08-06_final
2013-08-29 11:14:56	ga_ls7e_ard_3-0-0_110073_2013-08-29_final
2014-06-09 10:05:09	ga_ls7e_ard_3-0-0_098079_2014-06-09_final
2014-07-20 09:59:30	ga_ls7e_ard_3-0-0_097080_2014-07-20_final
2015-01-20 09:11:04	ga_ls7e_ard_3-0-0_089080_2015-01-19_final
2015-05-08 11:13:29	ga_ls7e_ard_3-0-0_109075_2015-05-08_final
2017-04-17 10:37:00	ga_ls7e_ard_3-0-0_103069_2017-04-17_final
2017-08-23 10:37:16	ga_ls7e_ard_3-0-0_103069_2017-08-23_final
2017-10-21 10:22:20	ga_ls7e_ard_3-0-0_100078_2017-10-21_final
2017-11-19 11:26:16	ga_ls7e_ard_3-0-0_111068_2017-11-19_final
2018-01-08 11:15:48	ga_ls7e_ard_3-0-0_109074_2018-01-08_final
2018-05-03 10:04:34	ga_ls7e_ard_3-0-0_098070_2018-05-03_final
2019-03-20 09:04:54	ga_ls7e_ard_3-1-0_089079_2019-03-19_final
2019-04-03 10:56:28	ga_ls7e_ard_3-0-0_107081_2019-04-03_final
2019-05-24 09:42:35	ga_ls7e_ard_3-0-0_096071_2019-05-24_final
2020-09-10 10:38:47	ga_ls7e_ard_3-1-0_109071_2020-09-10_final
2020-11-22 08:55:16	ga_ls7e_ard_3-1-0_092087_2020-11-21_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