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

56 results

Time (local)	Label
1999-12-09 10:00:15	ga_ls7e_ard_3-0-0_098078_1999-12-09_final
2000-01-18 09:13:52	ga_ls7e_ard_3-0-0_090086_2000-01-17_final
2000-04-06 10:05:57	ga_ls7e_ard_3-0-0_099078_2000-04-06_final
2000-07-03 09:20:06	ga_ls7e_ard_3-0-0_091089_2000-07-02_final
2001-02-12 10:50:35	ga_ls7e_ard_3-0-0_107071_2001-02-12_final
2001-03-07 09:24:35	ga_ls7e_ard_3-0-0_092088_2001-03-06_final
2003-03-30 10:02:36	ga_ls7e_ard_3-0-0_099079_2003-03-30_final
2003-10-12 09:34:53	ga_ls7e_ard_3-1-0_095073_2003-10-12_final
2005-01-29 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-01-28_final
2005-08-03 09:53:56	ga_ls7e_ard_3-0-0_098071_2005-08-03_final
2005-08-06 10:28:49	ga_ls7e_ard_3-0-0_103081_2005-08-06_final
2005-09-23 10:23:19	ga_ls7e_ard_3-0-0_103068_2005-09-23_final
2005-09-29 11:30:42	ga_ls7e_ard_3-0-0_113082_2005-09-29_final
2005-10-20 10:09:17	ga_ls7e_ard_3-0-0_100079_2005-10-20_final
2005-12-02 09:53:08	ga_ls7e_ard_3-0-0_097084_2005-12-02_final
2006-03-31 09:59:48	ga_ls7e_ard_3-0-0_098084_2006-03-31_final
2007-05-15 10:33:35	ga_ls7e_ard_3-0-0_104075_2007-05-15_final
2007-05-29 10:44:39	ga_ls7e_ard_3-0-0_106072_2007-05-29_final
2007-08-05 10:23:45	ga_ls7e_ard_3-0-0_102082_2007-08-05_final
2007-09-21 11:15:05	ga_ls7e_ard_3-0-0_111072_2007-09-21_final
2008-05-02 11:16:09	ga_ls7e_ard_3-0-0_111074_2008-05-02_final
2008-06-26 11:19:06	ga_ls7e_ard_3-0-0_112067_2008-06-26_final
2008-08-19 09:11:49	ga_ls7e_ard_3-0-0_090090_2008-08-18_final
2008-10-18 11:12:37	ga_ls7e_ard_3-0-0_110084_2008-10-18_final
2008-11-15 09:56:05	ga_ls7e_ard_3-0-0_098077_2008-11-15_final
2008-11-20 10:17:05	ga_ls7e_ard_3-0-0_101083_2008-11-20_final
2009-05-08 10:10:07	ga_ls7e_ard_3-0-0_100078_2009-05-08_final
2009-09-28 11:04:15	ga_ls7e_ard_3-0-0_109075_2009-09-28_final
2010-01-19 10:09:40	ga_ls7e_ard_3-0-0_100074_2010-01-19_final
2010-08-02 09:06:44	ga_ls7e_ard_3-0-0_089085_2010-08-01_final
2010-09-26 09:14:10	ga_ls7e_ard_3-0-0_090088_2010-09-25_final
2010-10-12 10:45:56	ga_ls7e_ard_3-0-0_106070_2010-10-12_final
2011-01-15 10:06:25	ga_ls7e_ard_3-0-0_099077_2011-01-15_final
2011-11-23 10:54:14	ga_ls7e_ard_3-0-0_107072_2011-11-23_final
2012-08-19 11:09:42	ga_ls7e_ard_3-0-0_109076_2012-08-19_final
2012-11-11 10:42:30	ga_ls7e_ard_3-0-0_105068_2012-11-11_final
2013-05-12 11:47:29	ga_ls7e_ard_3-0-0_115076_2013-05-12_final
2013-06-08 09:53:27	ga_ls7e_ard_3-0-0_096085_2013-06-08_final
2013-11-23 10:36:39	ga_ls7e_ard_3-0-0_104068_2013-11-23_final
2014-07-08 11:10:03	ga_ls7e_ard_3-0-0_109071_2014-07-08_final
2014-09-17 09:43:06	ga_ls7e_ard_3-0-0_094085_2014-09-17_final
2015-01-24 10:25:40	ga_ls7e_ard_3-0-0_101081_2015-01-24_final
2016-11-02 11:19:58	ga_ls7e_ard_3-0-0_109083_2016-11-02_final
2017-01-15 10:12:04	ga_ls7e_ard_3-0-0_099069_2017-01-15_final
2017-01-20 10:32:57	ga_ls7e_ard_3-0-0_102075_2017-01-20_final
2018-06-25 10:27:00	ga_ls7e_ard_3-0-0_101082_2018-06-25_final
2018-08-07 10:06:04	ga_ls7e_ard_3-0-0_098078_2018-08-07_final
2019-02-22 10:07:08	ga_ls7e_ard_3-1-0_099078_2019-02-22_final
2019-07-24 09:15:24	ga_ls7e_ard_3-1-0_091086_2019-07-23_final
2019-08-23 11:00:36	ga_ls7e_ard_3-1-0_109074_2019-08-23_final
2020-04-18 10:08:00	ga_ls7e_ard_3-1-0_102080_2020-04-18_final
2020-06-11 11:06:34	ga_ls7e_ard_3-1-0_112080_2020-06-11_final
2020-09-21 10:21:06	ga_ls7e_ard_3-1-0_106075_2020-09-21_final
2020-11-19 09:55:52	ga_ls7e_ard_3-1-0_103068_2020-11-19_final
2021-08-07 09:56:28	ga_ls7e_ard_3-2-0_106075_2021-08-07_final
2021-09-23 09:09:29	ga_ls7e_ard_3-2-0_099076_2021-09-22_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