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

50 results

Time (local)	Label
1999-10-29 10:08:48	ga_ls7e_ard_3-0-0_099084_1999-10-29_final
2002-06-12 11:08:50	ga_ls7e_ard_3-0-0_110075_2002-06-12_final
2002-06-14 10:54:04	ga_ls7e_ard_3-0-0_108069_2002-06-14_final
2002-07-18 10:44:19	ga_ls7e_ard_3-0-0_106076_2002-07-18_final
2003-03-15 10:44:43	ga_ls7e_ard_3-0-0_106076_2003-03-15_final
2003-05-17 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-05-17_final
2003-09-22 11:41:00	ga_ls7e_ard_3-0-0_115079_2003-09-22_final
2003-12-01 09:25:30	ga_ls7e_ard_3-0-0_093079_2003-11-30_final
2004-03-20 11:15:21	ga_ls7e_ard_3-0-0_111074_2004-03-20_final
2004-06-14 10:38:26	ga_ls7e_ard_3-0-0_105075_2004-06-14_final
2004-09-07 10:56:14	ga_ls7e_ard_3-0-0_108074_2004-09-07_final
2004-10-25 10:54:19	ga_ls7e_ard_3-0-0_108069_2004-10-25_final
2005-03-12 11:36:43	ga_ls7e_ard_3-0-0_114080_2005-03-12_final
2005-06-06 10:55:04	ga_ls7e_ard_3-0-0_108069_2005-06-06_final
2005-07-16 10:08:43	ga_ls7e_ard_3-0-0_100077_2005-07-16_final
2006-11-04 10:31:25	ga_ls7e_ard_3-0-0_104071_2006-11-04_final
2007-06-19 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-18_final
2007-06-28 09:22:30	ga_ls7e_ard_3-0-0_092083_2007-06-27_final
2008-03-11 10:00:51	ga_ls7e_ard_3-0-0_099071_2008-03-11_final
2008-03-21 09:02:15	ga_ls7e_ard_3-0-0_089079_2008-03-20_final
2008-04-08 10:29:35	ga_ls7e_ard_3-0-0_103081_2008-04-08_final
2008-08-28 09:05:10	ga_ls7e_ard_3-0-0_089089_2008-08-27_final
2009-04-07 09:13:59	ga_ls7e_ard_3-0-0_091077_2009-04-06_final
2009-05-03 09:53:58	ga_ls7e_ard_3-0-0_097084_2009-05-03_final
2009-06-29 09:42:10	ga_ls7e_ard_3-0-0_096070_2009-06-29_final
2010-02-05 10:53:33	ga_ls7e_ard_3-0-0_107075_2010-02-05_final
2010-08-25 10:48:38	ga_ls7e_ard_3-0-0_106077_2010-08-25_final
2010-11-28 10:06:00	ga_ls7e_ard_3-0-0_099077_2010-11-28_final
2011-01-18 10:38:32	ga_ls7e_ard_3-0-0_104080_2011-01-18_final
2011-01-23 09:21:01	ga_ls7e_ard_3-0-0_091087_2011-01-22_final
2011-06-18 09:10:05	ga_ls7e_ard_3-0-0_089090_2011-06-17_final
2012-02-02 09:28:42	ga_ls7e_ard_3-0-0_092089_2012-02-01_final
2013-06-17 09:42:03	ga_ls7e_ard_3-0-0_095072_2013-06-17_final
2015-12-21 10:11:00	ga_ls7e_ard_3-0-0_098084_2015-12-21_final
2017-03-24 11:30:42	ga_ls7e_ard_3-0-0_111080_2017-03-24_final
2018-04-15 10:22:50	ga_ls7e_ard_3-0-0_100084_2018-04-15_final
2018-05-11 10:58:15	ga_ls7e_ard_3-0-0_106081_2018-05-11_final
2018-12-25 10:23:54	ga_ls7e_ard_3-0-0_102069_2018-12-25_final
2019-03-12 09:51:01	ga_ls7e_ard_3-1-0_097070_2019-03-12_final
2019-05-29 09:59:21	ga_ls7e_ard_3-0-0_099067_2019-05-29_final
2019-10-15 11:19:40	ga_ls7e_ard_3-1-0_112081_2019-10-15_final
2020-03-24 10:11:13	ga_ls7e_ard_3-1-0_103069_2020-03-24_final
2020-03-25 09:14:45	ga_ls7e_ard_3-1-0_094067_2020-03-24_final
2020-07-10 08:58:39	ga_ls7e_ard_3-1-0_091089_2020-07-09_final
2021-01-22 09:56:27	ga_ls7e_ard_3-2-0_103081_2021-01-22_final
2021-04-05 09:41:49	ga_ls7e_ard_3-2-0_102074_2021-04-05_final
2021-07-05 09:19:16	ga_ls7e_ard_3-2-0_099083_2021-07-04_final
2021-11-23 10:14:37	ga_ls7e_ard_3-2-1_110083_2021-11-23_final
2022-01-04 09:05:58	ga_ls7e_ard_3-2-1_100076_2022-01-03_final
2022-03-18 08:53:24	ga_ls7e_ard_3-2-1_099078_2022-03-17_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