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

50 results

Time (local)	Label
1999-10-07 10:39:39	ga_ls7e_ard_3-0-0_105068_1999-10-07_final
2000-08-11 09:25:20	ga_ls7e_ard_3-0-0_092088_2000-08-10_final
2001-05-10 10:57:32	ga_ls7e_ard_3-0-0_108074_2001-05-10_final
2001-06-19 10:06:25	ga_ls7e_ard_3-0-0_100071_2001-06-19_final
2002-02-12 10:22:34	ga_ls7e_ard_3-0-0_102082_2002-02-12_final
2002-04-20 10:50:32	ga_ls7e_ard_3-0-0_107075_2002-04-20_final
2002-12-07 10:55:48	ga_ls7e_ard_3-1-0_108074_2002-12-07_final
2003-11-26 09:08:58	ga_ls7e_ard_3-0-0_090084_2003-11-25_final
2004-02-05 10:50:04	ga_ls7e_ard_3-0-0_107073_2004-02-05_final
2004-05-27 09:18:02	ga_ls7e_ard_3-0-0_091090_2004-05-26_final
2004-08-07 10:01:55	ga_ls7e_ard_3-0-0_099077_2004-08-07_final
2004-08-13 11:02:32	ga_ls7e_ard_3-0-0_109074_2004-08-13_final
2005-03-11 10:51:28	ga_ls7e_ard_3-0-0_107075_2005-03-11_final
2005-12-26 10:38:42	ga_ls7e_ard_3-0-0_105074_2005-12-26_final
2006-01-30 09:30:36	ga_ls7e_ard_3-0-0_094073_2006-01-30_final
2006-03-17 09:40:41	ga_ls7e_ard_3-0-0_096067_2006-03-17_final
2006-05-24 10:57:37	ga_ls7e_ard_3-0-0_108074_2006-05-24_final
2007-11-24 09:38:35	ga_ls7e_ard_3-0-0_095077_2007-11-24_final
2008-10-31 10:38:44	ga_ls7e_ard_3-0-0_105076_2008-10-31_final
2009-04-16 09:13:02	ga_ls7e_ard_3-0-0_090090_2009-04-15_final
2009-05-01 09:59:56	ga_ls7e_ard_3-0-0_099068_2009-05-01_final
2009-07-24 11:17:34	ga_ls7e_ard_3-0-0_111077_2009-07-24_final
2009-11-06 09:31:06	ga_ls7e_ard_3-0-0_094073_2009-11-06_final
2009-12-10 09:23:57	ga_ls7e_ard_3-0-0_092085_2009-12-09_final
2010-01-22 09:05:43	ga_ls7e_ard_3-0-0_089084_2010-01-21_final
2010-11-28 10:02:24	ga_ls7e_ard_3-0-0_099068_2010-11-28_final
2011-01-30 09:23:14	ga_ls7e_ard_3-0-0_092077_2011-01-29_final
2011-06-02 10:43:24	ga_ls7e_ard_3-0-0_105076_2011-06-02_final
2012-09-18 09:42:15	ga_ls7e_ard_3-1-0_095073_2012-09-18_final
2012-12-07 09:42:24	ga_ls7e_ard_3-0-0_095072_2012-12-07_final
2013-11-04 11:48:55	ga_ls7e_ard_3-0-0_115079_2013-11-04_final
2013-11-14 09:09:30	ga_ls7e_ard_3-0-0_089082_2013-11-13_final
2014-07-04 11:39:57	ga_ls7e_ard_3-0-0_113084_2014-07-04_final
2015-03-26 09:49:38	ga_ls7e_ard_3-0-0_096067_2015-03-26_final
2015-10-20 09:50:53	ga_ls7e_ard_3-0-0_096067_2015-10-20_final
2017-08-11 10:15:44	ga_ls7e_ard_3-0-0_099077_2017-08-11_final
2017-12-09 09:28:06	ga_ls7e_ard_3-0-0_091082_2017-12-08_final
2018-06-22 09:50:10	ga_ls7e_ard_3-0-0_096067_2018-06-22_final
2018-08-14 10:12:07	ga_ls7e_ard_3-0-0_099078_2018-08-14_final
2018-08-26 10:37:47	ga_ls7e_ard_3-0-0_103081_2018-08-26_final
2019-01-11 11:08:39	ga_ls7e_ard_3-0-0_109074_2019-01-11_final
2019-04-10 09:26:19	ga_ls7e_ard_3-0-0_092088_2019-04-09_final
2019-05-15 11:32:47	ga_ls7e_ard_3-0-0_113083_2019-05-15_final
2019-09-15 11:06:11	ga_ls7e_ard_3-1-0_110075_2019-09-15_final
2020-07-07 09:58:26	ga_ls7e_ard_3-1-0_102068_2020-07-07_final
2020-08-02 10:39:06	ga_ls7e_ard_3-1-0_108081_2020-08-02_final
2020-08-30 09:17:34	ga_ls7e_ard_3-1-0_096067_2020-08-29_final
2021-09-02 08:49:13	ga_ls7e_ard_3-2-0_096067_2021-09-01_final
2021-10-03 08:10:23	ga_ls7e_ard_3-2-0_089085_2021-10-02_final
2022-01-23 09:33:52	ga_ls7e_ard_3-2-1_105073_2022-01-23_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years