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

52 results

Time (local)	Label
1999-08-14 11:18:58	ga_ls7e_ard_3-0-0_111074_1999-08-14_final
2000-02-23 10:20:40	ga_ls7e_ard_3-0-0_102068_2000-02-23_final
2000-09-07 10:40:33	ga_ls7e_ard_3-0-0_105076_2000-09-07_final
2000-09-23 10:38:40	ga_ls7e_ard_3-0-0_105072_2000-09-23_final
2001-02-04 11:42:02	ga_ls7e_ard_3-0-0_115076_2001-02-04_final
2001-09-13 11:07:39	ga_ls7e_ard_3-1-0_110072_2001-09-13_final
2001-11-12 09:58:12	ga_ls7e_ard_3-0-0_098084_2001-11-12_final
2002-04-03 10:05:39	ga_ls7e_ard_3-0-0_100071_2002-04-03_final
2002-12-25 10:43:55	ga_ls7e_ard_3-1-0_106075_2002-12-25_final
2003-02-17 10:05:35	ga_ls7e_ard_3-0-0_100071_2003-02-17_final
2003-10-05 09:33:34	ga_ls7e_ard_3-0-0_094085_2003-10-05_final
2003-10-27 10:34:24	ga_ls7e_ard_3-0-0_104082_2003-10-27_final
2005-03-04 10:45:40	ga_ls7e_ard_3-0-0_106076_2005-03-04_final
2005-03-10 10:11:24	ga_ls7e_ard_3-0-0_100083_2005-03-10_final
2006-07-13 09:11:42	ga_ls7e_ard_3-0-0_090088_2006-07-12_final
2006-10-29 09:35:07	ga_ls7e_ard_3-0-0_094085_2006-10-29_final
2007-01-06 11:31:51	ga_ls7e_ard_3-0-0_113082_2007-01-06_final
2007-03-20 11:22:48	ga_ls7e_ard_3-0-0_112074_2007-03-20_final
2008-07-06 10:23:10	ga_ls7e_ard_3-0-0_102082_2008-07-06_final
2008-07-30 09:29:53	ga_ls7e_ard_3-1-0_094073_2008-07-29_final
2008-08-01 10:56:24	ga_ls7e_ard_3-0-0_108073_2008-08-01_final
2009-02-10 09:59:23	ga_ls7e_ard_3-0-0_099068_2009-02-10_final
2009-07-03 10:58:19	ga_ls7e_ard_3-1-0_108075_2009-07-03_final
2010-01-14 09:52:39	ga_ls7e_ard_3-0-0_097078_2010-01-14_final
2010-06-05 11:43:20	ga_ls7e_ard_3-0-0_115075_2010-06-05_final
2011-02-28 10:31:21	ga_ls7e_ard_3-0-0_103077_2011-02-28_final
2011-06-24 11:45:09	ga_ls7e_ard_3-0-0_115076_2011-06-24_final
2012-03-29 10:13:25	ga_ls7e_ard_3-0-0_100077_2012-03-29_final
2012-09-16 09:54:12	ga_ls7e_ard_3-0-0_097072_2012-09-16_final
2013-05-14 09:54:38	ga_ls7e_ard_3-0-0_097072_2013-05-14_final
2013-11-05 09:17:13	ga_ls7e_ard_3-0-0_090086_2013-11-04_final
2014-04-29 10:07:56	ga_ls7e_ard_3-0-0_099071_2014-04-29_final
2014-09-01 09:42:15	ga_ls7e_ard_3-1-0_094083_2014-09-01_final
2015-11-30 09:52:06	ga_ls7e_ard_3-0-0_095084_2015-11-30_final
2016-04-22 09:48:43	ga_ls7e_ard_3-0-0_095072_2016-04-22_final
2016-07-31 09:29:29	ga_ls7e_ard_3-0-0_091085_2016-07-30_final
2016-09-13 09:53:30	ga_ls7e_ard_3-0-0_095083_2016-09-13_final
2016-11-05 10:09:10	ga_ls7e_ard_3-0-0_098076_2016-11-05_final
2017-10-08 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-10-08_final
2017-11-03 09:49:02	ga_ls7e_ard_3-0-0_095072_2017-11-03_final
2017-12-16 11:10:18	ga_ls7e_ard_3-1-0_108075_2017-12-16_final
2018-02-18 11:12:37	ga_ls7e_ard_3-0-0_108083_2018-02-18_final
2018-03-06 11:08:52	ga_ls7e_ard_3-0-0_108074_2018-03-06_final
2018-05-20 10:46:45	ga_ls7e_ard_3-0-0_105068_2018-05-20_final
2019-01-21 11:47:00	ga_ls7e_ard_3-0-0_115078_2019-01-21_final
2019-08-27 10:36:07	ga_ls7e_ard_3-1-0_105075_2019-08-27_final
2020-03-26 10:01:57	ga_ls7e_ard_3-1-0_101077_2020-03-26_final
2021-05-10 10:08:12	ga_ls7e_ard_3-2-0_107070_2021-05-10_final
2021-08-19 10:23:43	ga_ls7e_ard_3-2-0_110084_2021-08-19_final
2022-01-04 09:09:09	ga_ls7e_ard_3-2-1_100084_2022-01-03_final
2022-01-06 10:31:29	ga_ls7e_ard_3-2-1_114074_2022-01-06_final
2022-02-01 09:25:12	ga_ls7e_ard_3-2-1_104069_2022-01-31_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