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

54 results

Time (local)	Label
1999-10-28 10:58:26	ga_ls7e_ard_3-0-0_108069_1999-10-28_final
2000-06-24 10:57:18	ga_ls7e_ard_3-0-0_108069_2000-06-24_final
2000-09-12 10:58:12	ga_ls7e_ard_3-0-0_108074_2000-09-12_final
2000-10-14 10:57:42	ga_ls7e_ard_3-0-0_108074_2000-10-14_final
2001-09-08 10:50:21	ga_ls7e_ard_3-0-0_107075_2001-09-08_final
2002-06-30 10:53:59	ga_ls7e_ard_3-0-0_108069_2002-06-30_final
2002-08-19 10:43:44	ga_ls7e_ard_3-1-0_106075_2002-08-19_final
2002-11-22 10:01:39	ga_ls7e_ard_3-0-0_099078_2002-11-22_final
2003-02-23 11:05:46	ga_ls7e_ard_3-0-0_110067_2003-02-23_final
2003-07-19 10:54:06	ga_ls7e_ard_3-0-0_108069_2003-07-19_final
2003-09-22 09:58:56	ga_ls7e_ard_3-0-0_099071_2003-09-22_final
2003-11-17 10:50:22	ga_ls7e_ard_3-0-0_107075_2003-11-17_final
2003-11-25 09:59:24	ga_ls7e_ard_3-0-0_099071_2003-11-25_final
2003-12-16 10:22:02	ga_ls7e_ard_3-0-0_102081_2003-12-16_final
2004-01-31 08:55:49	ga_ls7e_ard_3-0-0_088081_2004-01-30_final
2004-06-21 10:45:00	ga_ls7e_ard_3-0-0_106076_2004-06-21_final
2004-11-04 09:56:14	ga_ls7e_ard_3-0-0_098078_2004-11-04_final
2005-05-21 10:55:09	ga_ls7e_ard_3-0-0_108069_2005-05-21_final
2005-07-26 10:45:00	ga_ls7e_ard_3-1-0_106075_2005-07-26_final
2005-09-03 10:50:56	ga_ls7e_ard_3-0-0_107075_2005-09-03_final
2005-11-04 09:21:26	ga_ls7e_ard_3-0-0_093067_2005-11-03_final
2005-11-29 10:55:08	ga_ls7e_ard_3-0-0_108069_2005-11-29_final
2006-01-21 09:34:20	ga_ls7e_ard_3-0-0_095067_2006-01-21_final
2006-04-24 10:42:48	ga_ls7e_ard_3-0-0_106068_2006-04-24_final
2007-08-16 10:03:33	ga_ls7e_ard_3-0-0_099078_2007-08-16_final
2007-08-21 10:23:15	ga_ls7e_ard_3-0-0_102081_2007-08-21_final
2007-12-22 10:00:39	ga_ls7e_ard_3-0-0_099070_2007-12-22_final
2008-12-05 11:06:30	ga_ls7e_ard_3-0-0_110067_2008-12-05_final
2010-12-24 10:40:06	ga_ls7e_ard_3-0-0_105069_2010-12-24_final
2011-06-07 09:24:39	ga_ls7e_ard_3-0-0_092080_2011-06-06_final
2012-03-02 10:29:34	ga_ls7e_ard_3-0-0_103071_2012-03-02_final
2012-04-19 10:28:21	ga_ls7e_ard_3-0-0_103068_2012-04-19_final
2012-09-14 10:10:56	ga_ls7e_ard_3-0-0_099083_2012-09-14_final
2013-05-05 10:05:38	ga_ls7e_ard_3-0-0_098084_2013-05-05_final
2013-05-20 09:22:20	ga_ls7e_ard_3-0-0_091084_2013-05-19_final
2013-06-04 10:15:00	ga_ls7e_ard_3-0-0_100077_2013-06-04_final
2014-05-06 10:16:55	ga_ls7e_ard_3-0-0_100078_2014-05-06_final
2014-08-22 09:04:46	ga_ls7e_ard_3-0-0_088082_2014-08-21_final
2014-10-11 10:31:13	ga_ls7e_ard_3-0-0_102081_2014-10-11_final
2015-04-15 09:32:40	ga_ls7e_ard_3-0-0_092086_2015-04-15_final
2016-03-17 10:15:37	ga_ls7e_ard_3-0-0_099078_2016-03-17_final
2016-09-26 09:23:50	ga_ls7e_ard_3-0-0_090086_2016-09-25_final
2017-04-14 10:06:05	ga_ls7e_ard_3-0-0_098069_2017-04-14_final
2018-03-29 11:15:08	ga_ls7e_ard_3-0-0_109075_2018-03-29_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2019-05-13 10:03:57	ga_ls7e_ard_3-0-0_099077_2019-05-13_final
2020-02-26 09:00:44	ga_ls7e_ard_3-1-0_090090_2020-02-25_final
2020-03-23 09:27:13	ga_ls7e_ard_3-1-0_096067_2020-03-22_final
2020-06-08 09:00:33	ga_ls7e_ard_3-1-0_091089_2020-06-07_final
2020-07-18 11:20:54	ga_ls7e_ard_3-1-0_115075_2020-07-18_final
2020-11-17 08:34:41	ga_ls7e_ard_3-1-0_089081_2020-11-16_final
2021-01-02 08:42:06	ga_ls7e_ard_3-1-0_091077_2021-01-01_final
2021-01-21 09:07:40	ga_ls7e_ard_3-2-0_096067_2021-01-20_final
2021-02-27 09:27:50	ga_ls7e_ard_3-2-0_099078_2021-02-26_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