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

55 results

Time (local)	Label
2001-11-19 10:01:39	ga_ls7e_ard_3-0-0_099077_2001-11-19_final
2002-06-30 10:55:59	ga_ls7e_ard_3-0-0_108074_2002-06-30_final
2003-04-23 09:17:35	ga_ls7e_ard_3-0-0_091090_2003-04-22_final
2003-07-17 11:08:52	ga_ls7e_ard_3-0-0_110075_2003-07-17_final
2003-07-24 11:11:48	ga_ls7e_ard_3-0-0_111067_2003-07-24_final
2003-10-14 11:02:16	ga_ls7e_ard_3-0-0_109075_2003-10-14_final
2005-02-26 11:19:08	ga_ls7e_ard_3-0-0_112067_2005-02-26_final
2005-04-21 09:07:01	ga_ls7e_ard_3-0-0_090077_2005-04-20_final
2005-07-02 09:59:32	ga_ls7e_ard_3-0-0_098085_2005-07-02_final
2005-08-04 10:39:11	ga_ls7e_ard_3-0-0_105076_2005-08-04_final
2005-11-25 11:19:02	ga_ls7e_ard_3-0-0_112067_2005-11-25_final
2006-06-10 10:03:08	ga_ls7e_ard_3-0-0_099077_2006-06-10_final
2006-07-02 09:29:08	ga_ls7e_ard_3-0-0_093085_2006-07-01_final
2006-08-23 10:39:03	ga_ls7e_ard_3-0-0_105075_2006-08-23_final
2006-12-20 09:12:05	ga_ls7e_ard_3-0-0_090088_2006-12-19_final
2007-01-04 09:59:45	ga_ls7e_ard_3-0-0_099068_2007-01-04_final
2007-05-19 10:10:02	ga_ls7e_ard_3-0-0_100078_2007-05-19_final
2007-12-19 11:13:49	ga_ls7e_ard_3-0-0_110083_2007-12-19_final
2008-02-18 10:36:52	ga_ls7e_ard_3-0-0_105068_2008-02-18_final
2009-01-01 09:18:30	ga_ls7e_ard_3-0-0_091090_2008-12-31_final
2009-03-19 10:23:26	ga_ls7e_ard_3-0-0_102081_2009-03-19_final
2009-10-29 10:23:37	ga_ls7e_ard_3-0-0_102081_2009-10-29_final
2009-11-11 09:48:31	ga_ls7e_ard_3-0-0_097070_2009-11-11_final
2010-01-06 10:37:59	ga_ls7e_ard_3-0-0_105068_2010-01-06_final
2010-06-15 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-06-15_final
2010-08-30 11:09:59	ga_ls7e_ard_3-0-0_109084_2010-08-30_final
2010-11-07 11:27:40	ga_ls7e_ard_3-0-0_112081_2010-11-07_final
2011-01-18 08:59:39	ga_ls7e_ard_3-0-0_088080_2011-01-17_final
2012-02-20 09:16:49	ga_ls7e_ard_3-0-0_090090_2012-02-19_final
2013-09-28 09:53:56	ga_ls7e_ard_3-1-0_096086_2013-09-28_final
2014-01-26 10:37:37	ga_ls7e_ard_3-0-0_104069_2014-01-26_final
2014-08-21 09:55:12	ga_ls7e_ard_3-0-0_097069_2014-08-21_final
2014-12-13 09:42:51	ga_ls7e_ard_3-0-0_095067_2014-12-13_final
2015-09-24 09:21:51	ga_ls7e_ard_3-0-0_090088_2015-09-23_final
2015-12-20 11:03:48	ga_ls7e_ard_3-0-0_107077_2015-12-20_final
2016-07-27 09:50:36	ga_ls7e_ard_3-0-0_095076_2016-07-27_final
2016-07-28 10:35:52	ga_ls7e_ard_3-0-0_102081_2016-07-28_final
2016-09-18 10:08:04	ga_ls7e_ard_3-0-0_098073_2016-09-18_final
2017-03-29 10:06:23	ga_ls7e_ard_3-0-0_098070_2017-03-29_final
2017-11-01 10:06:35	ga_ls7e_ard_3-0-0_097085_2017-11-01_final
2018-07-29 10:12:24	ga_ls7e_ard_3-0-0_099078_2018-07-29_final
2018-10-21 09:41:29	ga_ls7e_ard_3-0-0_095067_2018-10-21_final
2019-04-30 10:37:21	ga_ls7e_ard_3-0-0_104082_2019-04-30_final
2019-06-14 10:02:46	ga_ls7e_ard_3-0-0_099077_2019-06-14_final
2020-02-25 09:47:38	ga_ls7e_ard_3-1-0_099068_2020-02-25_final
2020-04-23 10:24:39	ga_ls7e_ard_3-1-0_105076_2020-04-23_final
2020-06-10 08:46:29	ga_ls7e_ard_3-1-0_089085_2020-06-09_final
2020-07-29 11:05:16	ga_ls7e_ard_3-1-0_112084_2020-07-29_final
2020-08-09 09:03:10	ga_ls7e_ard_3-1-0_093074_2020-08-08_final
2020-09-11 09:45:29	ga_ls7e_ard_3-1-0_100077_2020-09-11_final
2021-04-21 09:38:05	ga_ls7e_ard_3-2-0_102068_2021-04-21_final
2021-08-16 09:48:17	ga_ls7e_ard_3-2-0_105072_2021-08-16_final
2021-10-01 08:23:19	ga_ls7e_ard_3-2-0_091086_2021-09-30_final
2022-01-17 10:10:43	ga_ls7e_ard_3-2-1_111071_2022-01-17_final
2022-03-11 08:44:45	ga_ls7e_ard_3-2-1_098070_2022-03-10_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