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
1999-12-20 09:37:20	ga_ls7e_ard_3-0-0_095067_1999-12-20_final
2000-03-14 09:56:42	ga_ls7e_ard_3-0-0_098070_2000-03-14_final
2000-07-26 10:59:08	ga_ls7e_ard_3-1-0_108075_2000-07-26_final
2001-07-20 11:01:50	ga_ls7e_ard_3-0-0_109071_2001-07-20_final
2002-12-15 10:05:09	ga_ls7e_ard_3-0-0_100071_2002-12-15_final
2003-02-09 10:56:12	ga_ls7e_ard_3-0-0_108074_2003-02-09_final
2003-10-03 09:44:45	ga_ls7e_ard_3-0-0_096082_2003-10-03_final
2003-11-08 10:56:00	ga_ls7e_ard_3-0-0_108074_2003-11-08_final
2004-06-15 11:18:30	ga_ls7e_ard_3-0-0_112067_2004-06-15_final
2004-06-26 11:03:09	ga_ls7e_ard_3-0-0_109075_2004-06-26_final
2004-08-17 10:38:12	ga_ls7e_ard_3-0-0_105075_2004-08-17_final
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2004-09-15 10:07:56	ga_ls7e_ard_3-0-0_100077_2004-09-15_final
2005-01-09 11:24:27	ga_ls7e_ard_3-0-0_112081_2005-01-09_final
2005-03-08 10:22:57	ga_ls7e_ard_3-0-0_102081_2005-03-08_final
2005-04-17 11:09:27	ga_ls7e_ard_3-0-0_110074_2005-04-17_final
2005-07-19 10:39:13	ga_ls7e_ard_3-0-0_105076_2005-07-19_final
2005-07-27 09:53:22	ga_ls7e_ard_3-0-0_097085_2005-07-27_final
2005-11-14 09:59:24	ga_ls7e_ard_3-0-0_099069_2005-11-14_final
2006-02-10 10:51:48	ga_ls7e_ard_3-0-0_107075_2006-02-10_final
2006-04-01 10:36:41	ga_ls7e_ard_3-0-0_105068_2006-04-01_final
2006-08-29 10:03:33	ga_ls7e_ard_3-0-0_099079_2006-08-29_final
2007-04-09 09:19:35	ga_ls7e_ard_3-0-0_092075_2007-04-08_final
2008-03-25 10:18:01	ga_ls7e_ard_3-0-0_101083_2008-03-25_final
2008-10-23 09:50:22	ga_ls7e_ard_3-0-0_097079_2008-10-23_final
2009-02-19 09:54:53	ga_ls7e_ard_3-0-0_098072_2009-02-19_final
2009-08-31 10:36:47	ga_ls7e_ard_3-0-0_105068_2009-08-31_final
2009-10-03 11:19:35	ga_ls7e_ard_3-0-0_112067_2009-10-03_final
2009-10-21 09:36:03	ga_ls7e_ard_3-0-0_094086_2009-10-21_final
2009-12-03 09:14:06	ga_ls7e_ard_3-0-0_091076_2009-12-02_final
2011-02-10 10:42:02	ga_ls7e_ard_3-0-0_105073_2011-02-10_final
2011-03-31 09:45:23	ga_ls7e_ard_3-0-0_096070_2011-03-31_final
2011-05-23 10:09:05	ga_ls7e_ard_3-0-0_099083_2011-05-23_final
2012-01-18 10:04:21	ga_ls7e_ard_3-0-0_099070_2012-01-18_final
2013-09-17 10:09:11	ga_ls7e_ard_3-0-0_099078_2013-09-17_final
2013-11-04 10:07:14	ga_ls7e_ard_3-0-0_099072_2013-11-04_final
2014-09-15 11:27:08	ga_ls7e_ard_3-0-0_112067_2014-09-15_final
2014-12-02 11:40:12	ga_ls7e_ard_3-0-0_114067_2014-12-02_final
2016-11-29 09:24:48	ga_ls7e_ard_3-0-0_090089_2016-11-28_final
2017-05-14 10:21:47	ga_ls7e_ard_3-0-0_100077_2017-05-14_final
2018-06-02 10:19:38	ga_ls7e_ard_3-0-0_100078_2018-06-02_final
2019-01-25 11:20:33	ga_ls7e_ard_3-0-0_111074_2019-01-25_final
2019-04-11 10:02:21	ga_ls7e_ard_3-0-0_099070_2019-04-11_final
2019-06-14 09:59:11	ga_ls7e_ard_3-0-0_099068_2019-06-14_final
2019-07-16 10:01:57	ga_ls7e_ard_3-0-0_099078_2019-07-16_final
2019-12-16 09:48:16	ga_ls7e_ard_3-1-0_098076_2019-12-16_final
2020-07-12 08:42:11	ga_ls7e_ard_3-1-0_089079_2020-07-11_final
2020-08-30 10:56:27	ga_ls7e_ard_3-1-0_112067_2020-08-30_final
2020-12-13 10:45:57	ga_ls7e_ard_3-1-0_111074_2020-12-13_final
2021-01-05 09:11:36	ga_ls7e_ard_3-1-0_096074_2021-01-04_final
2021-02-19 08:43:00	ga_ls7e_ard_3-2-0_091088_2021-02-18_final
2021-09-15 10:01:38	ga_ls7e_ard_3-2-0_107081_2021-09-15_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