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 10:06:51	ga_ls7e_ard_3-0-0_099079_1999-08-26_final
1999-12-13 11:12:51	ga_ls7e_ard_3-0-0_110074_1999-12-13_final
2000-02-17 09:26:57	ga_ls7e_ard_3-0-0_092088_2000-02-16_final
2000-06-25 10:04:27	ga_ls7e_ard_3-0-0_099076_2000-06-25_final
2000-09-11 10:16:10	ga_ls7e_ard_3-0-0_101077_2000-09-11_final
2001-06-26 10:14:50	ga_ls7e_ard_3-0-0_101077_2001-06-26_final
2002-03-05 10:35:32	ga_ls7e_ard_3-0-0_105068_2002-03-05_final
2002-06-28 11:08:44	ga_ls7e_ard_3-0-0_110075_2002-06-28_final
2002-08-15 09:31:35	ga_ls7e_ard_3-0-0_094080_2002-08-15_final
2002-10-19 10:13:15	ga_ls7e_ard_3-0-0_101077_2002-10-19_final
2004-04-16 10:55:30	ga_ls7e_ard_3-0-0_108071_2004-04-16_final
2004-05-25 11:03:17	ga_ls7e_ard_3-0-0_109075_2004-05-25_final
2005-01-06 09:18:15	ga_ls7e_ard_3-0-0_091090_2005-01-05_final
2005-03-09 11:01:50	ga_ls7e_ard_3-0-0_109070_2005-03-09_final
2005-12-18 09:50:23	ga_ls7e_ard_3-0-0_097077_2005-12-18_final
2006-06-03 09:59:47	ga_ls7e_ard_3-0-0_098084_2006-06-03_final
2006-08-25 10:25:53	ga_ls7e_ard_3-0-0_103073_2006-08-25_final
2007-02-23 09:51:37	ga_ls7e_ard_3-0-0_097078_2007-02-23_final
2008-08-22 09:41:30	ga_ls7e_ard_3-0-0_095087_2008-08-22_final
2009-01-21 10:25:34	ga_ls7e_ard_3-0-0_103072_2009-01-21_final
2009-03-11 09:34:44	ga_ls7e_ard_3-1-0_094083_2009-03-11_final
2009-03-24 10:39:37	ga_ls7e_ard_3-0-0_105075_2009-03-24_final
2009-06-29 11:25:51	ga_ls7e_ard_3-0-0_112082_2009-06-29_final
2010-08-25 10:48:38	ga_ls7e_ard_3-0-0_106077_2010-08-25_final
2010-10-06 09:45:39	ga_ls7e_ard_3-0-0_096074_2010-10-06_final
2011-03-24 09:40:22	ga_ls7e_ard_3-1-0_095073_2011-03-24_final
2011-12-24 10:10:50	ga_ls7e_ard_3-0-0_100071_2011-12-24_final
2012-01-12 09:06:33	ga_ls7e_ard_3-0-0_089080_2012-01-11_final
2012-02-05 09:52:03	ga_ls7e_ard_3-0-0_097070_2012-02-05_final
2012-12-07 11:22:05	ga_ls7e_ard_3-0-0_111074_2012-12-07_final
2013-03-22 09:34:19	ga_ls7e_ard_3-1-0_094067_2013-03-22_final
2013-08-11 09:53:23	ga_ls7e_ard_3-1-0_096086_2013-08-11_final
2015-06-09 11:14:06	ga_ls7e_ard_3-0-0_109076_2015-06-09_final
2015-07-23 11:39:48	ga_ls7e_ard_3-0-0_113078_2015-07-23_final
2015-08-23 10:52:38	ga_ls7e_ard_3-0-0_106068_2015-08-23_final
2015-11-15 10:33:34	ga_ls7e_ard_3-0-0_102080_2015-11-15_final
2016-01-13 11:52:48	ga_ls7e_ard_3-0-0_115075_2016-01-13_final
2017-03-01 11:24:47	ga_ls7e_ard_3-0-0_110081_2017-03-01_final
2017-08-02 10:19:32	ga_ls7e_ard_3-0-0_100071_2017-08-02_final
2017-12-07 11:16:10	ga_ls7e_ard_3-0-0_109074_2017-12-07_final
2018-01-02 10:12:05	ga_ls7e_ard_3-0-0_099069_2018-01-02_final
2018-06-13 11:41:23	ga_ls7e_ard_3-0-0_113082_2018-06-13_final
2018-06-26 09:33:21	ga_ls7e_ard_3-0-0_092087_2018-06-26_final
2019-06-07 11:34:32	ga_ls7e_ard_3-0-0_114074_2019-06-07_final
2019-07-26 10:37:27	ga_ls7e_ard_3-0-0_105075_2019-07-26_final
2020-01-23 10:46:56	ga_ls7e_ard_3-1-0_108073_2020-01-23_final
2020-03-27 10:44:21	ga_ls7e_ard_3-1-0_108075_2020-03-27_final
2021-08-13 09:19:39	ga_ls7e_ard_3-2-0_100077_2021-08-12_final
2021-11-11 08:14:12	ga_ls7e_ard_3-2-0_090088_2021-11-10_final
2021-11-17 09:11:01	ga_ls7e_ard_3-2-1_100077_2021-11-16_final
2022-02-07 08:47:55	ga_ls7e_ard_3-2-1_098070_2022-02-06_final
2022-04-03 08:47:54	ga_ls7e_ard_3-2-1_099068_2022-04-02_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