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

42 results

Time (local)	Label
1999-09-19 10:54:38	ga_ls7e_ard_3-0-0_107075_1999-09-19_final
1999-12-09 10:02:15	ga_ls7e_ard_3-0-0_098083_1999-12-09_final
2000-01-17 10:02:19	ga_ls7e_ard_3-0-0_099068_2000-01-17_final
2000-09-05 10:52:33	ga_ls7e_ard_3-0-0_107075_2000-09-05_final
2000-09-23 09:04:58	ga_ls7e_ard_3-0-0_089085_2000-09-22_final
2001-02-19 10:58:21	ga_ls7e_ard_3-1-0_108075_2001-02-19_final
2001-08-16 10:44:49	ga_ls7e_ard_3-0-0_106076_2001-08-16_final
2001-09-01 10:44:39	ga_ls7e_ard_3-0-0_106076_2001-09-01_final
2002-02-23 09:58:49	ga_ls7e_ard_3-0-0_099069_2002-02-23_final
2002-11-26 09:32:36	ga_ls7e_ard_3-0-0_095067_2002-11-26_final
2003-05-08 10:08:03	ga_ls7e_ard_3-0-0_100077_2003-05-08_final
2004-04-25 10:50:54	ga_ls7e_ard_3-0-0_107075_2004-04-25_final
2004-07-16 10:41:10	ga_ls7e_ard_3-0-0_105082_2004-07-16_final
2004-08-07 10:01:55	ga_ls7e_ard_3-0-0_099077_2004-08-07_final
2005-03-28 11:31:30	ga_ls7e_ard_3-0-0_114067_2005-03-28_final
2005-07-24 10:55:22	ga_ls7e_ard_3-0-0_108070_2005-07-24_final
2006-10-15 10:57:49	ga_ls7e_ard_3-0-0_108076_2006-10-15_final
2006-11-28 09:40:39	ga_ls7e_ard_3-0-0_096067_2006-11-28_final
2006-12-14 09:40:45	ga_ls7e_ard_3-0-0_096067_2006-12-14_final
2007-03-26 10:48:07	ga_ls7e_ard_3-0-0_106080_2007-03-26_final
2007-10-12 09:59:28	ga_ls7e_ard_3-0-0_098084_2007-10-12_final
2007-11-05 09:12:42	ga_ls7e_ard_3-0-0_090090_2007-11-04_final
2008-02-03 11:26:35	ga_ls7e_ard_3-0-0_112084_2008-02-03_final
2010-03-25 09:20:15	ga_ls7e_ard_3-0-0_091088_2010-03-24_final
2011-02-15 11:02:10	ga_ls7e_ard_3-0-0_108077_2011-02-15_final
2013-01-20 10:10:05	ga_ls7e_ard_3-0-0_099079_2013-01-20_final
2013-09-28 09:53:56	ga_ls7e_ard_3-1-0_096086_2013-09-28_final
2014-07-24 09:35:13	ga_ls7e_ard_3-0-0_093081_2014-07-24_final
2014-11-18 09:48:49	ga_ls7e_ard_3-0-0_096067_2014-11-18_final
2015-02-25 10:24:18	ga_ls7e_ard_3-0-0_101077_2015-02-25_final
2015-06-07 09:43:59	ga_ls7e_ard_3-0-0_095067_2015-06-07_final
2017-01-31 10:11:32	ga_ls7e_ard_3-0-0_099068_2017-01-31_final
2017-05-19 10:41:56	ga_ls7e_ard_3-0-0_103081_2017-05-19_final
2017-10-07 10:12:44	ga_ls7e_ard_3-0-0_098085_2017-10-07_final
2018-02-14 09:52:07	ga_ls7e_ard_3-0-0_096067_2018-02-14_final
2018-09-13 10:25:27	ga_ls7e_ard_3-0-0_101082_2018-09-13_final
2019-01-27 11:07:19	ga_ls7e_ard_3-0-0_109072_2019-01-27_final
2019-11-02 11:06:32	ga_ls7e_ard_3-1-0_110081_2019-11-02_final
2020-02-14 10:11:56	ga_ls7e_ard_3-1-0_102081_2020-02-14_final
2020-06-25 09:34:50	ga_ls7e_ard_3-1-0_098069_2020-06-25_final
2020-07-03 10:28:35	ga_ls7e_ard_3-1-0_106081_2020-07-03_final
2021-11-19 08:54:52	ga_ls7e_ard_3-2-1_098068_2021-11-18_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