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
1999-08-26 10:02:51	ga_ls7e_ard_3-0-0_099069_1999-08-26_final
1999-10-07 09:05:57	ga_ls7e_ard_3-1-0_089081_1999-10-06_final
2001-12-26 10:21:56	ga_ls7e_ard_3-0-0_102081_2001-12-26_final
2003-10-04 10:22:25	ga_ls7e_ard_3-0-0_103068_2003-10-04_final
2004-01-29 09:07:46	ga_ls7e_ard_3-0-0_090080_2004-01-28_final
2004-02-16 08:56:15	ga_ls7e_ard_3-0-0_088082_2004-02-15_final
2004-11-06 11:25:10	ga_ls7e_ard_3-0-0_112084_2004-11-06_final
2006-04-28 10:18:54	ga_ls7e_ard_3-0-0_102070_2006-04-28_final
2006-09-06 09:14:52	ga_ls7e_ard_3-0-0_091081_2006-09-05_final
2006-09-23 09:56:49	ga_ls7e_ard_3-0-0_098078_2006-09-23_final
2007-07-14 10:58:09	ga_ls7e_ard_3-0-0_108075_2007-07-14_final
2007-07-16 10:47:22	ga_ls7e_ard_3-0-0_106079_2007-07-16_final
2007-12-13 10:09:36	ga_ls7e_ard_3-0-0_100077_2007-12-13_final
2008-10-22 09:11:05	ga_ls7e_ard_3-0-0_090089_2008-10-21_final
2008-12-05 11:12:53	ga_ls7e_ard_3-0-0_110083_2008-12-05_final
2009-05-17 11:42:03	ga_ls7e_ard_3-0-0_115076_2009-05-17_final
2009-10-11 10:34:05	ga_ls7e_ard_3-0-0_104077_2009-10-11_final
2009-10-24 11:41:30	ga_ls7e_ard_3-0-0_115075_2009-10-24_final
2010-03-26 09:55:56	ga_ls7e_ard_3-0-0_098069_2010-03-26_final
2010-04-20 09:50:11	ga_ls7e_ard_3-0-0_097070_2010-04-20_final
2010-12-24 09:06:24	ga_ls7e_ard_3-0-0_089082_2010-12-23_final
2011-12-01 10:09:14	ga_ls7e_ard_3-0-0_099083_2011-12-01_final
2011-12-28 11:23:27	ga_ls7e_ard_3-0-0_112067_2011-12-28_final
2012-02-24 10:24:12	ga_ls7e_ard_3-0-0_102073_2012-02-24_final
2012-06-21 11:23:56	ga_ls7e_ard_3-0-0_112067_2012-06-21_final
2012-06-30 11:17:51	ga_ls7e_ard_3-0-0_111067_2012-06-30_final
2012-07-13 10:47:57	ga_ls7e_ard_3-0-0_106069_2012-07-13_final
2012-11-02 09:13:20	ga_ls7e_ard_3-0-0_090077_2012-11-01_final
2012-11-22 10:29:15	ga_ls7e_ard_3-0-0_102081_2012-11-22_final
2013-02-25 09:46:56	ga_ls7e_ard_3-0-0_095083_2013-02-25_final
2013-03-18 10:03:27	ga_ls7e_ard_3-0-0_098078_2013-03-18_final
2013-05-27 09:28:51	ga_ls7e_ard_3-0-0_092085_2013-05-26_final
2013-10-12 11:43:00	ga_ls7e_ard_3-0-0_114080_2013-10-12_final
2014-06-22 09:33:04	ga_ls7e_ard_3-0-0_093076_2014-06-22_final
2015-06-12 10:06:32	ga_ls7e_ard_3-0-0_098077_2015-06-12_final
2015-07-19 10:24:02	ga_ls7e_ard_3-0-0_101074_2015-07-19_final
2016-04-22 09:48:43	ga_ls7e_ard_3-0-0_095072_2016-04-22_final
2016-04-28 10:53:45	ga_ls7e_ard_3-1-0_105080_2016-04-28_final
2016-06-29 09:30:14	ga_ls7e_ard_3-0-0_091087_2016-06-29_final
2017-03-16 10:36:50	ga_ls7e_ard_3-0-0_103069_2017-03-16_final
2018-06-17 09:40:06	ga_ls7e_ard_3-0-0_093088_2018-06-17_final
2018-10-16 11:05:07	ga_ls7e_ard_3-0-0_108075_2018-10-16_final
2019-01-15 09:06:55	ga_ls7e_ard_3-0-0_089079_2019-01-14_final
2019-10-11 10:04:29	ga_ls7e_ard_3-1-0_100078_2019-10-11_final
2020-03-04 09:01:45	ga_ls7e_ard_3-1-0_091078_2020-03-03_final
2020-03-16 11:02:42	ga_ls7e_ard_3-1-0_111073_2020-03-16_final
2020-05-05 10:47:51	ga_ls7e_ard_3-1-0_109074_2020-05-05_final
2020-08-05 09:32:08	ga_ls7e_ard_3-1-0_097084_2020-08-05_final
2020-08-16 09:13:18	ga_ls7e_ard_3-1-0_094085_2020-08-15_final
2020-11-04 10:41:46	ga_ls7e_ard_3-1-0_110072_2020-11-04_final
2021-12-01 09:19:15	ga_ls7e_ard_3-2-1_102070_2021-11-30_final
2022-02-13 08:12:12	ga_ls7e_ard_3-2-1_092075_2022-02-12_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