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
2000-02-23 10:21:28	ga_ls7e_ard_3-0-0_102070_2000-02-23_final
2001-01-19 10:01:13	ga_ls7e_ard_3-0-0_099071_2001-01-19_final
2001-07-07 09:56:42	ga_ls7e_ard_3-0-0_098078_2001-07-07_final
2002-10-31 08:59:07	ga_ls7e_ard_3-0-0_089077_2002-10-30_final
2003-04-15 10:01:52	ga_ls7e_ard_3-0-0_099077_2003-04-15_final
2004-01-28 10:02:11	ga_ls7e_ard_3-1-0_099077_2004-01-28_final
2004-05-19 09:58:43	ga_ls7e_ard_3-0-0_099068_2004-05-19_final
2004-10-21 11:20:58	ga_ls7e_ard_3-0-0_112074_2004-10-21_final
2005-01-21 10:06:42	ga_ls7e_ard_3-0-0_100072_2005-01-21_final
2005-05-03 11:09:30	ga_ls7e_ard_3-0-0_110074_2005-05-03_final
2005-09-13 09:46:38	ga_ls7e_ard_3-0-0_097069_2005-09-13_final
2006-04-15 09:17:41	ga_ls7e_ard_3-0-0_091087_2006-04-14_final
2008-07-01 10:03:29	ga_ls7e_ard_3-0-0_099079_2008-07-01_final
2009-01-14 10:17:46	ga_ls7e_ard_3-0-0_102068_2009-01-14_final
2009-01-17 09:17:23	ga_ls7e_ard_3-0-0_091087_2009-01-16_final
2009-02-02 10:50:45	ga_ls7e_ard_3-0-0_107073_2009-02-02_final
2009-05-06 10:23:40	ga_ls7e_ard_3-0-0_102081_2009-05-06_final
2009-10-26 09:52:16	ga_ls7e_ard_3-0-0_097080_2009-10-26_final
2009-11-26 09:08:38	ga_ls7e_ard_3-0-0_090078_2009-11-25_final
2010-02-28 09:21:05	ga_ls7e_ard_3-0-0_092075_2010-02-27_final
2010-04-12 09:05:08	ga_ls7e_ard_3-1-0_089081_2010-04-11_final
2010-06-16 09:49:30	ga_ls7e_ard_3-0-0_096084_2010-06-16_final
2010-11-27 09:26:19	ga_ls7e_ard_3-0-0_092086_2010-11-26_final
2011-05-23 11:44:47	ga_ls7e_ard_3-0-0_115075_2011-05-23_final
2011-07-25 09:28:08	ga_ls7e_ard_3-0-0_092089_2011-07-24_final
2011-10-14 10:03:11	ga_ls7e_ard_3-0-0_099069_2011-10-14_final
2012-08-20 10:14:53	ga_ls7e_ard_3-0-0_100078_2012-08-20_final
2012-09-14 11:47:50	ga_ls7e_ard_3-0-0_115078_2012-09-14_final
2012-11-17 10:09:05	ga_ls7e_ard_3-0-0_099077_2012-11-17_final
2013-02-14 09:59:09	ga_ls7e_ard_3-0-0_098067_2013-02-14_final
2014-02-24 10:07:02	ga_ls7e_ard_3-0-0_099070_2014-02-24_final
2014-03-16 11:22:33	ga_ls7e_ard_3-0-0_111073_2014-03-16_final
2014-06-02 09:54:58	ga_ls7e_ard_3-0-0_097069_2014-06-02_final
2014-09-05 10:51:14	ga_ls7e_ard_3-0-0_106070_2014-09-05_final
2014-12-19 10:45:08	ga_ls7e_ard_3-0-0_105068_2014-12-19_final
2015-02-20 10:03:19	ga_ls7e_ard_3-0-0_098071_2015-02-20_final
2015-08-04 10:27:40	ga_ls7e_ard_3-0-0_101083_2015-08-04_final
2016-01-04 10:18:46	ga_ls7e_ard_3-0-0_100072_2016-01-04_final
2017-10-21 10:21:56	ga_ls7e_ard_3-0-0_100077_2017-10-21_final
2019-03-10 10:06:14	ga_ls7e_ard_3-1-0_099077_2019-03-10_final
2019-06-14 10:03:34	ga_ls7e_ard_3-0-0_099079_2019-06-14_final
2019-10-04 09:58:35	ga_ls7e_ard_3-1-0_099078_2019-10-04_final
2020-07-02 09:41:48	ga_ls7e_ard_3-1-0_099072_2020-07-02_final
2020-09-29 11:12:25	ga_ls7e_ard_3-1-0_114081_2020-09-29_final
2020-11-16 11:06:51	ga_ls7e_ard_3-1-0_114075_2020-11-16_final
2021-01-21 09:08:52	ga_ls7e_ard_3-2-0_096070_2021-01-20_final
2021-06-09 08:45:08	ga_ls7e_ard_3-2-0_093085_2021-06-08_final
2021-07-18 10:22:09	ga_ls7e_ard_3-2-0_110073_2021-07-18_final
2021-12-11 08:24:05	ga_ls7e_ard_3-2-1_092089_2021-12-10_final
2022-02-21 09:02:03	ga_ls7e_ard_3-2-1_100078_2022-02-20_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