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

47 results

Time (local)	Label
2000-01-17 10:03:07	ga_ls7e_ard_3-0-0_099070_2000-01-17_final
2000-10-20 10:23:28	ga_ls7e_ard_3-0-0_102081_2000-10-20_final
2003-04-15 09:59:53	ga_ls7e_ard_3-0-0_099072_2003-04-15_final
2004-04-25 09:16:24	ga_ls7e_ard_3-1-0_091086_2004-04-24_final
2004-05-21 11:27:38	ga_ls7e_ard_3-0-0_113074_2004-05-21_final
2005-01-15 10:48:11	ga_ls7e_ard_3-0-0_106083_2005-01-15_final
2005-02-08 09:53:41	ga_ls7e_ard_3-0-0_098070_2005-02-08_final
2005-02-20 10:22:53	ga_ls7e_ard_3-0-0_102081_2005-02-20_final
2006-03-09 08:56:50	ga_ls7e_ard_3-0-0_088081_2006-03-08_final
2006-04-01 10:37:05	ga_ls7e_ard_3-0-0_105069_2006-04-01_final
2006-05-07 10:13:09	ga_ls7e_ard_3-0-0_101071_2006-05-07_final
2006-07-05 09:57:13	ga_ls7e_ard_3-0-0_098078_2006-07-05_final
2007-01-22 09:54:13	ga_ls7e_ard_3-0-0_097085_2007-01-22_final
2007-05-18 09:29:11	ga_ls7e_ard_3-0-0_093084_2007-05-17_final
2007-08-16 10:03:33	ga_ls7e_ard_3-0-0_099078_2007-08-16_final
2007-12-06 10:04:11	ga_ls7e_ard_3-0-0_099079_2007-12-06_final
2009-10-21 09:36:03	ga_ls7e_ard_3-0-0_094086_2009-10-21_final
2009-10-24 10:00:37	ga_ls7e_ard_3-0-0_099070_2009-10-24_final
2010-06-11 11:05:52	ga_ls7e_ard_3-0-0_109074_2010-06-11_final
2010-07-18 09:49:36	ga_ls7e_ard_3-0-0_096084_2010-07-18_final
2011-01-25 09:05:04	ga_ls7e_ard_3-0-0_089078_2011-01-24_final
2012-01-02 10:09:55	ga_ls7e_ard_3-0-0_099084_2012-01-02_final
2012-04-25 09:51:52	ga_ls7e_ard_3-0-0_097069_2012-04-25_final
2012-07-27 09:29:09	ga_ls7e_ard_3-0-0_092088_2012-07-26_final
2013-02-05 10:09:44	ga_ls7e_ard_3-0-0_099078_2013-02-05_final
2013-08-26 10:44:48	ga_ls7e_ard_3-0-0_105075_2013-08-26_final
2013-11-15 09:53:57	ga_ls7e_ard_3-0-0_096085_2013-11-15_final
2014-09-06 11:33:18	ga_ls7e_ard_3-0-0_113067_2014-09-06_final
2015-01-07 11:15:40	ga_ls7e_ard_3-0-0_110067_2015-01-07_final
2016-03-08 10:21:20	ga_ls7e_ard_3-0-0_100077_2016-03-08_final
2016-07-22 11:10:32	ga_ls7e_ard_3-1-0_108075_2016-07-22_final
2016-10-29 11:38:20	ga_ls7e_ard_3-0-0_113067_2016-10-29_final
2017-05-04 11:22:21	ga_ls7e_ard_3-0-0_110074_2017-05-04_final
2017-07-26 10:16:10	ga_ls7e_ard_3-0-0_099078_2017-07-26_final
2019-04-04 11:34:06	ga_ls7e_ard_3-0-0_114067_2019-04-04_final
2019-05-15 09:52:42	ga_ls7e_ard_3-0-0_097080_2019-05-15_final
2019-11-17 10:18:59	ga_ls7e_ard_3-1-0_103072_2019-11-17_final
2019-12-13 09:19:07	ga_ls7e_ard_3-1-0_093080_2019-12-12_final
2020-01-20 10:15:47	ga_ls7e_ard_3-1-0_103072_2020-01-20_final
2020-01-29 10:08:22	ga_ls7e_ard_3-1-0_102070_2020-01-29_final
2020-04-07 10:25:35	ga_ls7e_ard_3-1-0_105076_2020-04-07_final
2020-05-31 09:48:27	ga_ls7e_ard_3-1-0_099084_2020-05-31_final
2020-10-21 10:29:32	ga_ls7e_ard_3-1-0_108070_2020-10-21_final
2021-09-15 09:57:38	ga_ls7e_ard_3-2-0_107071_2021-09-15_final
2021-11-01 09:12:57	ga_ls7e_ard_3-2-0_100078_2021-10-31_final
2022-04-03 08:47:54	ga_ls7e_ard_3-2-1_099068_2022-04-02_final
2022-04-05 08:39:20	ga_ls7e_ard_3-2-1_097078_2022-04-04_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