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

46 results

Time (local)	Label
1999-09-10 11:03:37	ga_ls7e_ard_3-0-0_108082_1999-09-10_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2000-04-10 11:18:27	ga_ls7e_ard_3-0-0_111074_2000-04-10_final
2002-02-17 10:35:53	ga_ls7e_ard_3-0-0_105069_2002-02-17_final
2002-07-02 09:05:56	ga_ls7e_ard_3-0-0_090077_2002-07-01_final
2003-01-25 11:40:54	ga_ls7e_ard_3-0-0_115078_2003-01-25_final
2003-09-19 09:33:38	ga_ls7e_ard_3-0-0_094085_2003-09-19_final
2003-12-11 10:01:28	ga_ls7e_ard_3-0-0_099076_2003-12-11_final
2004-03-31 10:58:25	ga_ls7e_ard_3-0-0_108078_2004-03-31_final
2004-12-28 09:23:58	ga_ls7e_ard_3-0-0_092089_2004-12-27_final
2005-04-21 10:42:19	ga_ls7e_ard_3-0-0_106068_2005-04-21_final
2005-09-28 09:11:45	ga_ls7e_ard_3-0-0_090090_2005-09-27_final
2005-11-27 09:30:35	ga_ls7e_ard_3-0-0_094074_2005-11-27_final
2006-11-07 09:27:04	ga_ls7e_ard_3-0-0_093080_2006-11-06_final
2006-12-05 11:32:09	ga_ls7e_ard_3-0-0_113083_2006-12-05_final
2008-12-02 09:01:04	ga_ls7e_ard_3-0-0_089078_2008-12-01_final
2009-03-06 09:17:21	ga_ls7e_ard_3-1-0_091086_2009-03-05_final
2009-03-23 09:59:33	ga_ls7e_ard_3-0-0_098083_2009-03-23_final
2009-10-20 10:30:03	ga_ls7e_ard_3-0-0_103082_2009-10-20_final
2010-06-09 11:22:13	ga_ls7e_ard_3-0-0_111084_2010-06-09_final
2011-02-12 10:27:41	ga_ls7e_ard_3-0-0_103068_2011-02-12_final
2011-08-29 09:54:32	ga_ls7e_ard_3-0-0_097078_2011-08-29_final
2011-09-02 11:07:53	ga_ls7e_ard_3-0-0_109076_2011-09-02_final
2011-11-15 10:03:29	ga_ls7e_ard_3-0-0_099069_2011-11-15_final
2014-03-11 11:04:45	ga_ls7e_ard_3-1-0_108075_2014-03-11_final
2014-05-15 10:06:27	ga_ls7e_ard_3-0-0_099067_2014-05-15_final
2014-09-17 11:17:59	ga_ls7e_ard_3-0-0_110075_2014-09-17_final
2015-11-26 10:16:46	ga_ls7e_ard_3-0-0_099084_2015-11-26_final
2016-02-07 10:04:48	ga_ls7e_ard_3-0-0_098067_2016-02-07_final
2016-06-30 10:09:30	ga_ls7e_ard_3-0-0_098077_2016-06-30_final
2016-08-05 11:23:19	ga_ls7e_ard_3-0-0_110076_2016-08-05_final
2016-08-18 10:49:14	ga_ls7e_ard_3-0-0_105068_2016-08-18_final
2016-09-22 11:22:38	ga_ls7e_ard_3-0-0_110074_2016-09-22_final
2017-01-08 11:48:03	ga_ls7e_ard_3-0-0_114077_2017-01-08_final
2017-03-14 10:48:47	ga_ls7e_ard_3-0-0_105068_2017-03-14_final
2017-08-10 11:12:57	ga_ls7e_ard_3-0-0_108081_2017-08-10_final
2017-08-23 10:42:03	ga_ls7e_ard_3-0-0_103081_2017-08-23_final
2018-08-02 09:45:13	ga_ls7e_ard_3-0-0_095072_2018-08-02_final
2019-07-29 11:08:13	ga_ls7e_ard_3-0-0_110075_2019-07-29_final
2020-05-19 09:23:16	ga_ls7e_ard_3-1-0_095081_2020-05-18_final
2020-05-26 11:02:18	ga_ls7e_ard_3-1-0_112067_2020-05-26_final
2020-06-13 10:51:42	ga_ls7e_ard_3-1-0_110074_2020-06-13_final
2021-03-26 09:04:46	ga_ls7e_ard_3-2-0_096072_2021-03-25_final
2021-08-22 09:12:41	ga_ls7e_ard_3-2-0_099077_2021-08-21_final
2021-11-01 09:10:34	ga_ls7e_ard_3-2-0_100072_2021-10-31_final
2022-01-15 08:45:36	ga_ls7e_ard_3-2-1_097074_2022-01-14_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