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

54 results

Time (local)	Label
1999-12-16 10:08:28	ga_ls7e_ard_3-0-0_099083_1999-12-16_final
2000-08-27 09:22:00	ga_ls7e_ard_3-0-0_092080_2000-08-26_final
2002-05-29 10:56:33	ga_ls7e_ard_3-1-0_108075_2002-05-29_final
2002-12-12 09:34:38	ga_ls7e_ard_3-0-0_095072_2002-12-12_final
2004-01-08 10:23:10	ga_ls7e_ard_3-0-0_103068_2004-01-08_final
2004-11-28 09:11:46	ga_ls7e_ard_3-0-0_090090_2004-11-27_final
2004-12-26 11:09:13	ga_ls7e_ard_3-0-0_110074_2004-12-26_final
2005-11-27 11:12:16	ga_ls7e_ard_3-0-0_110081_2005-11-27_final
2006-07-25 11:09:36	ga_ls7e_ard_3-0-0_110074_2006-07-25_final
2006-09-20 11:04:02	ga_ls7e_ard_3-0-0_109076_2006-09-20_final
2006-10-10 10:39:11	ga_ls7e_ard_3-0-0_105076_2006-10-10_final
2006-12-27 10:50:46	ga_ls7e_ard_3-0-0_107072_2006-12-27_final
2007-02-08 10:30:49	ga_ls7e_ard_3-0-0_104068_2007-02-08_final
2007-06-08 09:46:02	ga_ls7e_ard_3-0-0_096080_2007-06-08_final
2007-09-13 10:28:03	ga_ls7e_ard_3-0-0_103078_2007-09-13_final
2007-10-02 10:57:41	ga_ls7e_ard_3-0-0_108075_2007-10-02_final
2008-07-25 10:53:27	ga_ls7e_ard_3-0-0_107081_2008-07-25_final
2008-11-02 10:28:24	ga_ls7e_ard_3-0-0_103081_2008-11-02_final
2009-05-03 09:54:22	ga_ls7e_ard_3-0-0_097085_2009-05-03_final
2009-06-19 10:47:36	ga_ls7e_ard_3-0-0_106079_2009-06-19_final
2010-03-07 11:08:36	ga_ls7e_ard_3-1-0_109081_2010-03-07_final
2011-02-12 10:29:16	ga_ls7e_ard_3-0-0_103072_2011-02-12_final
2011-10-19 10:23:23	ga_ls7e_ard_3-0-0_102073_2011-10-19_final
2012-01-05 10:40:02	ga_ls7e_ard_3-0-0_104082_2012-01-05_final
2012-08-09 10:34:30	ga_ls7e_ard_3-0-0_103081_2012-08-09_final
2012-09-30 11:48:00	ga_ls7e_ard_3-0-0_115078_2012-09-30_final
2012-10-29 09:37:39	ga_ls7e_ard_3-0-0_094076_2012-10-29_final
2012-11-18 09:18:39	ga_ls7e_ard_3-0-0_090090_2012-11-17_final
2013-03-08 09:30:00	ga_ls7e_ard_3-1-0_092087_2013-03-08_final
2015-06-11 09:27:40	ga_ls7e_ard_3-0-0_091088_2015-06-10_final
2015-07-24 10:40:11	ga_ls7e_ard_3-0-0_104068_2015-07-24_final
2016-01-18 10:30:32	ga_ls7e_ard_3-0-0_102070_2016-01-18_final
2017-01-22 10:18:58	ga_ls7e_ard_3-0-0_100071_2017-01-22_final
2017-02-15 11:08:18	ga_ls7e_ard_3-0-0_108071_2017-02-15_final
2017-03-27 10:21:32	ga_ls7e_ard_3-0-0_100077_2017-03-27_final
2017-07-14 11:29:09	ga_ls7e_ard_3-0-0_111075_2017-07-14_final
2017-08-07 10:40:04	ga_ls7e_ard_3-0-0_103076_2017-08-07_final
2017-08-13 10:01:22	ga_ls7e_ard_3-0-0_097072_2017-08-13_final
2018-02-20 10:57:03	ga_ls7e_ard_3-1-0_106075_2018-02-20_final
2018-08-09 11:33:21	ga_ls7e_ard_3-0-0_112080_2018-08-09_final
2019-02-06 10:07:13	ga_ls7e_ard_3-0-0_099077_2019-02-06_final
2019-05-15 11:33:11	ga_ls7e_ard_3-0-0_113084_2019-05-15_final
2019-10-03 10:51:04	ga_ls7e_ard_3-1-0_108070_2019-10-03_final
2019-11-25 11:08:27	ga_ls7e_ard_3-1-0_111073_2019-11-25_final
2020-03-27 09:05:28	ga_ls7e_ard_3-1-0_092075_2020-03-26_final
2020-06-17 10:27:08	ga_ls7e_ard_3-1-0_106075_2020-06-17_final
2020-08-16 10:51:46	ga_ls7e_ard_3-1-0_110084_2020-08-16_final
2020-12-03 10:10:01	ga_ls7e_ard_3-1-0_105075_2020-12-03_final
2021-05-10 10:12:35	ga_ls7e_ard_3-2-0_107081_2021-05-10_final
2021-06-11 10:10:41	ga_ls7e_ard_3-2-0_107083_2021-06-11_final
2021-06-24 09:33:56	ga_ls7e_ard_3-2-0_102071_2021-06-24_final
2021-07-05 09:16:52	ga_ls7e_ard_3-2-0_099077_2021-07-04_final
2021-09-08 09:56:28	ga_ls7e_ard_3-2-0_106082_2021-09-08_final
2021-12-06 09:42:06	ga_ls7e_ard_3-2-1_105082_2021-12-06_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