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

57 results

Time (local)	Label
1999-11-07 10:00:38	ga_ls7e_ard_3-0-0_098079_1999-11-07_final
1999-12-22 11:06:38	ga_ls7e_ard_3-0-0_109074_1999-12-22_final
2000-06-06 09:37:39	ga_ls7e_ard_3-0-0_094086_2000-06-06_final
2001-05-20 09:59:35	ga_ls7e_ard_3-0-0_098084_2001-05-20_final
2002-02-10 10:34:55	ga_ls7e_ard_3-0-0_104082_2002-02-10_final
2002-03-22 11:24:15	ga_ls7e_ard_3-0-0_112082_2002-03-22_final
2002-04-09 11:11:55	ga_ls7e_ard_3-0-0_110082_2002-04-09_final
2002-12-28 11:18:01	ga_ls7e_ard_3-0-0_111083_2002-12-28_final
2003-03-18 11:14:48	ga_ls7e_ard_3-0-0_111074_2003-03-18_final
2003-10-24 10:01:28	ga_ls7e_ard_3-0-0_099077_2003-10-24_final
2004-05-03 10:05:05	ga_ls7e_ard_3-0-0_099084_2004-05-03_final
2004-08-06 09:23:03	ga_ls7e_ard_3-0-0_092088_2004-08-05_final
2004-12-08 11:21:26	ga_ls7e_ard_3-0-0_112074_2004-12-08_final
2004-12-12 10:56:43	ga_ls7e_ard_3-0-0_108074_2004-12-12_final
2005-03-02 10:57:13	ga_ls7e_ard_3-0-0_108074_2005-03-02_final
2005-08-29 10:35:15	ga_ls7e_ard_3-0-0_104082_2005-08-29_final
2006-03-07 09:11:11	ga_ls7e_ard_3-0-0_090086_2006-03-06_final
2006-05-08 09:23:31	ga_ls7e_ard_3-0-0_092086_2006-05-07_final
2006-09-24 10:38:29	ga_ls7e_ard_3-0-0_105074_2006-09-24_final
2008-03-10 10:57:41	ga_ls7e_ard_3-0-0_108074_2008-03-10_final
2008-11-30 10:51:06	ga_ls7e_ard_3-0-0_107075_2008-11-30_final
2009-01-23 10:17:13	ga_ls7e_ard_3-0-0_101082_2009-01-23_final
2009-05-24 10:09:45	ga_ls7e_ard_3-0-0_100077_2009-05-24_final
2009-07-03 10:57:55	ga_ls7e_ard_3-0-0_108074_2009-07-03_final
2011-02-24 10:55:15	ga_ls7e_ard_3-0-0_107075_2011-02-24_final
2011-04-19 10:21:04	ga_ls7e_ard_3-0-0_101082_2011-04-19_final
2011-06-23 11:01:06	ga_ls7e_ard_3-0-0_108074_2011-06-23_final
2011-07-31 10:24:20	ga_ls7e_ard_3-0-0_102075_2011-07-31_final
2012-03-03 11:14:25	ga_ls7e_ard_3-0-0_110075_2012-03-03_final
2012-03-08 09:52:50	ga_ls7e_ard_3-0-0_097072_2012-03-08_final
2012-07-15 09:01:55	ga_ls7e_ard_3-0-0_088082_2012-07-14_final
2012-11-28 11:31:27	ga_ls7e_ard_3-0-0_112082_2012-11-28_final
2013-01-14 09:09:51	ga_ls7e_ard_3-0-0_089083_2013-01-13_final
2013-02-13 09:19:29	ga_ls7e_ard_3-0-0_091076_2013-02-12_final
2014-02-24 10:07:26	ga_ls7e_ard_3-0-0_099071_2014-02-24_final
2014-05-03 11:26:54	ga_ls7e_ard_3-0-0_111083_2014-05-03_final
2015-03-04 10:31:44	ga_ls7e_ard_3-0-0_102080_2015-03-04_final
2015-11-07 09:38:47	ga_ls7e_ard_3-1-0_094067_2015-11-07_final
2015-11-07 11:20:51	ga_ls7e_ard_3-0-0_110075_2015-11-07_final
2016-04-14 10:42:05	ga_ls7e_ard_3-0-0_103082_2016-04-14_final
2016-07-17 09:14:41	ga_ls7e_ard_3-0-0_089079_2016-07-16_final
2016-10-31 11:32:45	ga_ls7e_ard_3-0-0_111084_2016-10-31_final
2017-03-17 11:26:05	ga_ls7e_ard_3-0-0_110084_2017-03-17_final
2017-04-30 11:44:16	ga_ls7e_ard_3-0-0_114067_2017-04-30_final
2017-10-09 09:53:12	ga_ls7e_ard_3-0-0_096067_2017-10-09_final
2017-10-16 10:00:36	ga_ls7e_ard_3-0-0_097070_2017-10-16_final
2018-06-01 11:14:29	ga_ls7e_ard_3-0-0_109076_2018-06-01_final
2020-03-02 09:17:01	ga_ls7e_ard_3-1-0_093085_2020-03-01_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-27 09:07:28	ga_ls7e_ard_3-1-0_092080_2020-03-26_final
2020-05-26 11:08:17	ga_ls7e_ard_3-1-0_112082_2020-05-26_final
2020-07-26 10:34:09	ga_ls7e_ard_3-1-0_107083_2020-07-26_final
2020-11-19 10:01:03	ga_ls7e_ard_3-1-0_103081_2020-11-19_final
2021-01-16 10:31:57	ga_ls7e_ard_3-1-0_109076_2021-01-16_final
2021-03-15 09:26:11	ga_ls7e_ard_3-2-0_099077_2021-03-14_final
2021-06-02 08:37:31	ga_ls7e_ard_3-2-0_092080_2021-06-01_final
2021-09-29 08:34:15	ga_ls7e_ard_3-2-0_093082_2021-09-28_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