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

51 results

Time (local)	Label
1999-07-25 10:06:45	ga_ls7e_ard_3-0-0_099079_1999-07-25_final
2001-11-03 09:58:17	ga_ls7e_ard_3-0-0_099069_2001-11-03_final
2002-02-05 10:14:20	ga_ls7e_ard_3-0-0_101077_2002-02-05_final
2003-01-02 09:52:29	ga_ls7e_ard_3-0-0_098070_2003-01-02_final
2003-01-19 10:35:29	ga_ls7e_ard_3-0-0_105069_2003-01-19_final
2003-05-21 09:35:28	ga_ls7e_ard_3-1-0_095073_2003-05-21_final
2004-04-17 10:03:04	ga_ls7e_ard_3-0-0_099079_2004-04-17_final
2004-07-12 09:29:25	ga_ls7e_ard_3-0-0_093088_2004-07-11_final
2004-10-22 10:22:58	ga_ls7e_ard_3-0-0_103068_2004-10-22_final
2004-10-24 10:11:50	ga_ls7e_ard_3-0-0_101071_2004-10-24_final
2005-02-08 09:59:16	ga_ls7e_ard_3-0-0_098084_2005-02-08_final
2005-06-08 09:07:00	ga_ls7e_ard_3-0-0_090077_2005-06-07_final
2005-12-12 10:25:28	ga_ls7e_ard_3-0-0_103072_2005-12-12_final
2006-02-12 09:01:22	ga_ls7e_ard_3-0-0_089077_2006-02-11_final
2006-03-19 09:33:07	ga_ls7e_ard_3-0-0_094079_2006-03-19_final
2006-03-22 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-22_final
2006-06-12 11:32:27	ga_ls7e_ard_3-0-0_113084_2006-06-12_final
2007-12-06 10:00:35	ga_ls7e_ard_3-0-0_099070_2007-12-06_final
2007-12-31 09:59:17	ga_ls7e_ard_3-0-0_098082_2007-12-31_final
2008-02-02 09:04:26	ga_ls7e_ard_3-0-0_089084_2008-02-01_final
2008-07-27 10:38:41	ga_ls7e_ard_3-0-0_105075_2008-07-27_final
2008-10-27 11:03:00	ga_ls7e_ard_3-0-0_109075_2008-10-27_final
2009-04-07 09:18:46	ga_ls7e_ard_3-0-0_091089_2009-04-06_final
2009-05-01 10:00:44	ga_ls7e_ard_3-0-0_099070_2009-05-01_final
2009-11-10 09:08:50	ga_ls7e_ard_3-0-0_090079_2009-11-09_final
2009-11-17 10:55:35	ga_ls7e_ard_3-0-0_107083_2009-11-17_final
2010-04-29 11:24:27	ga_ls7e_ard_3-0-0_112074_2010-04-29_final
2010-06-11 11:07:03	ga_ls7e_ard_3-0-0_109077_2010-06-11_final
2010-08-10 11:32:15	ga_ls7e_ard_3-0-0_113078_2010-08-10_final
2010-10-11 10:03:27	ga_ls7e_ard_3-0-0_099072_2010-10-11_final
2010-11-11 09:25:43	ga_ls7e_ard_3-0-0_092085_2010-11-10_final
2011-07-07 11:13:26	ga_ls7e_ard_3-0-0_110074_2011-07-07_final
2011-09-24 10:32:42	ga_ls7e_ard_3-0-0_103081_2011-09-24_final
2011-10-21 10:13:26	ga_ls7e_ard_3-0-0_100079_2011-10-21_final
2011-12-29 10:33:25	ga_ls7e_ard_3-0-0_103081_2011-12-29_final
2012-02-22 09:00:28	ga_ls7e_ard_3-0-0_088080_2012-02-21_final
2012-08-26 11:15:08	ga_ls7e_ard_3-0-0_110074_2012-08-26_final
2014-12-04 09:54:10	ga_ls7e_ard_3-0-0_096080_2014-12-04_final
2016-03-07 11:16:09	ga_ls7e_ard_3-0-0_109075_2016-03-07_final
2016-05-01 11:19:29	ga_ls7e_ard_3-0-0_110067_2016-05-01_final
2017-02-26 09:13:46	ga_ls7e_ard_3-0-0_089078_2017-02-25_final
2018-05-03 10:04:58	ga_ls7e_ard_3-0-0_098071_2018-05-03_final
2018-10-16 11:04:43	ga_ls7e_ard_3-0-0_108074_2018-10-16_final
2018-12-31 09:53:02	ga_ls7e_ard_3-0-0_096085_2018-12-31_final
2020-05-08 09:37:42	ga_ls7e_ard_3-1-0_098069_2020-05-08_final
2020-09-13 09:29:24	ga_ls7e_ard_3-1-0_098068_2020-09-12_final
2020-09-19 10:32:00	ga_ls7e_ard_3-1-0_108071_2020-09-19_final
2021-06-20 09:59:23	ga_ls7e_ard_3-2-0_106072_2021-06-20_final
2021-12-22 08:01:42	ga_ls7e_ard_3-2-1_089082_2021-12-21_final
2022-02-14 08:56:57	ga_ls7e_ard_3-2-1_099079_2022-02-13_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_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