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

46 results

Time (local)	Label
1999-11-30 10:06:18	ga_ls7e_ard_3-0-0_099078_1999-11-30_final
2000-04-28 11:04:26	ga_ls7e_ard_3-0-0_109070_2000-04-28_final
2001-01-02 10:57:56	ga_ls7e_ard_3-0-0_108074_2001-01-02_final
2002-05-10 10:28:15	ga_ls7e_ard_3-0-0_103081_2002-05-10_final
2003-11-15 11:03:06	ga_ls7e_ard_3-0-0_109076_2003-11-15_final
2004-01-03 10:08:13	ga_ls7e_ard_3-0-0_100077_2004-01-03_final
2005-01-08 09:02:42	ga_ls7e_ard_3-0-0_089082_2005-01-07_final
2006-07-13 10:43:24	ga_ls7e_ard_3-0-0_106070_2006-07-13_final
2006-08-13 11:42:05	ga_ls7e_ard_3-0-0_115078_2006-08-13_final
2006-12-11 09:17:25	ga_ls7e_ard_3-1-0_091086_2006-12-10_final
2007-05-18 09:25:35	ga_ls7e_ard_3-0-0_093075_2007-05-17_final
2007-08-16 10:03:33	ga_ls7e_ard_3-0-0_099078_2007-08-16_final
2009-03-21 10:09:30	ga_ls7e_ard_3-0-0_100077_2009-03-21_final
2010-04-02 11:44:36	ga_ls7e_ard_3-0-0_115078_2010-04-02_final
2010-04-10 10:55:34	ga_ls7e_ard_3-0-0_107079_2010-04-10_final
2011-01-13 10:18:45	ga_ls7e_ard_3-0-0_101077_2011-01-13_final
2011-02-23 10:12:47	ga_ls7e_ard_3-0-0_100077_2011-02-23_final
2011-03-19 09:27:48	ga_ls7e_ard_3-0-0_092088_2011-03-18_final
2012-03-22 10:07:15	ga_ls7e_ard_3-0-0_099077_2012-03-22_final
2012-11-09 09:24:20	ga_ls7e_ard_3-0-0_091089_2012-11-08_final
2013-01-22 11:31:50	ga_ls7e_ard_3-0-0_113067_2013-01-22_final
2013-05-03 10:18:00	ga_ls7e_ard_3-0-0_100084_2013-05-03_final
2015-01-31 10:27:32	ga_ls7e_ard_3-0-0_102070_2015-01-31_final
2015-07-28 10:19:03	ga_ls7e_ard_3-0-0_100077_2015-07-28_final
2016-01-23 10:50:44	ga_ls7e_ard_3-0-0_105074_2016-01-23_final
2016-04-18 10:17:48	ga_ls7e_ard_3-0-0_099083_2016-04-18_final
2016-10-08 11:26:15	ga_ls7e_ard_3-0-0_110083_2016-10-08_final
2017-03-24 09:46:37	ga_ls7e_ard_3-0-0_095067_2017-03-24_final
2017-08-02 10:19:32	ga_ls7e_ard_3-0-0_100071_2017-08-02_final
2017-11-19 09:46:59	ga_ls7e_ard_3-0-0_095067_2017-11-19_final
2017-11-19 09:49:23	ga_ls7e_ard_3-1-0_095073_2017-11-19_final
2018-01-10 11:06:12	ga_ls7e_ard_3-0-0_107081_2018-01-10_final
2018-03-20 11:21:03	ga_ls7e_ard_3-0-0_110074_2018-03-20_final
2018-05-03 11:42:15	ga_ls7e_ard_3-0-0_114067_2018-05-03_final
2018-06-29 10:03:23	ga_ls7e_ard_3-0-0_097085_2018-06-29_final
2018-10-04 10:39:54	ga_ls7e_ard_3-0-0_104073_2018-10-04_final
2018-12-25 10:24:42	ga_ls7e_ard_3-0-0_102071_2018-12-25_final
2019-04-01 11:06:06	ga_ls7e_ard_3-0-0_109074_2019-04-01_final
2019-09-22 09:31:58	ga_ls7e_ard_3-1-0_095072_2019-09-22_final
2020-03-27 09:07:28	ga_ls7e_ard_3-1-0_092080_2020-03-26_final
2020-07-29 09:27:11	ga_ls7e_ard_3-1-0_096086_2020-07-28_final
2020-08-14 09:18:36	ga_ls7e_ard_3-1-0_096067_2020-08-13_final
2020-10-25 10:09:21	ga_ls7e_ard_3-1-0_104082_2020-10-25_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2021-05-17 10:15:47	ga_ls7e_ard_3-2-0_108075_2021-05-17_final
2022-04-03 10:31:10	ga_ls7e_ard_3-2-1_115079_2022-04-03_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

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