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

55 results

Time (local)	Label
2000-02-13 09:48:30	ga_ls7e_ard_3-0-0_096080_2000-02-13_final
2000-09-21 10:50:37	ga_ls7e_ard_3-0-0_107071_2000-09-21_final
2001-05-26 09:22:28	ga_ls7e_ard_3-0-0_092084_2001-05-25_final
2001-07-24 09:03:47	ga_ls7e_ard_3-0-0_089085_2001-07-23_final
2001-10-25 10:07:11	ga_ls7e_ard_3-0-0_100076_2001-10-25_final
2003-01-27 09:51:39	ga_ls7e_ard_3-0-0_097083_2003-01-27_final
2004-06-28 10:49:11	ga_ls7e_ard_3-0-0_107071_2004-06-28_final
2004-07-05 09:22:03	ga_ls7e_ard_3-0-0_092085_2004-07-04_final
2005-03-30 11:24:43	ga_ls7e_ard_3-0-0_112081_2005-03-30_final
2005-06-15 09:18:19	ga_ls7e_ard_3-0-0_091090_2005-06-14_final
2005-08-20 09:03:01	ga_ls7e_ard_3-0-0_089083_2005-08-19_final
2006-04-23 09:59:08	ga_ls7e_ard_3-0-0_099067_2006-04-23_final
2006-06-10 09:59:33	ga_ls7e_ard_3-0-0_099068_2006-06-10_final
2007-02-01 10:29:46	ga_ls7e_ard_3-0-0_103081_2007-02-01_final
2007-10-25 09:29:08	ga_ls7e_ard_3-0-0_093085_2007-10-24_final
2007-11-26 09:22:15	ga_ls7e_ard_3-0-0_093067_2007-11-25_final
2008-01-31 10:50:54	ga_ls7e_ard_3-0-0_107072_2008-01-31_final
2008-06-07 09:13:30	ga_ls7e_ard_3-0-0_091077_2008-06-06_final
2009-02-13 10:35:54	ga_ls7e_ard_3-0-0_104082_2009-02-13_final
2009-03-13 11:01:40	ga_ls7e_ard_3-0-0_108084_2009-03-13_final
2009-05-16 11:00:23	ga_ls7e_ard_3-0-0_108080_2009-05-16_final
2010-08-25 09:14:57	ga_ls7e_ard_3-0-0_090090_2010-08-24_final
2010-09-27 11:34:19	ga_ls7e_ard_3-0-0_113083_2010-09-27_final
2010-12-15 09:14:07	ga_ls7e_ard_3-0-0_090086_2010-12-14_final
2011-05-13 11:06:54	ga_ls7e_ard_3-0-0_109073_2011-05-13_final
2011-08-20 11:40:01	ga_ls7e_ard_3-0-0_114079_2011-08-20_final
2011-09-19 10:12:34	ga_ls7e_ard_3-0-0_100077_2011-09-19_final
2011-12-29 10:33:25	ga_ls7e_ard_3-0-0_103081_2011-12-29_final
2012-01-14 10:28:17	ga_ls7e_ard_3-0-0_103068_2012-01-14_final
2012-05-13 09:45:30	ga_ls7e_ard_3-0-0_095083_2012-05-13_final
2012-07-28 10:08:02	ga_ls7e_ard_3-0-0_099077_2012-07-28_final
2012-09-14 11:47:50	ga_ls7e_ard_3-0-0_115078_2012-09-14_final
2013-02-14 11:42:49	ga_ls7e_ard_3-0-0_114079_2013-02-14_final
2013-07-30 09:28:42	ga_ls7e_ard_3-0-0_092086_2013-07-29_final
2013-11-28 11:01:14	ga_ls7e_ard_3-0-0_107083_2013-11-28_final
2015-01-22 10:38:00	ga_ls7e_ard_3-0-0_103081_2015-01-22_final
2015-04-13 11:21:54	ga_ls7e_ard_3-0-0_110081_2015-04-13_final
2015-09-01 10:49:14	ga_ls7e_ard_3-0-0_105075_2015-09-01_final
2016-06-21 10:15:41	ga_ls7e_ard_3-0-0_099077_2016-06-21_final
2016-10-17 11:17:16	ga_ls7e_ard_3-0-0_109076_2016-10-17_final
2017-01-06 10:20:21	ga_ls7e_ard_3-0-0_100074_2017-01-06_final
2017-10-09 10:00:47	ga_ls7e_ard_3-1-0_096086_2017-10-09_final
2018-05-07 09:46:33	ga_ls7e_ard_3-0-0_094087_2018-05-07_final
2018-07-29 10:12:24	ga_ls7e_ard_3-0-0_099078_2018-07-29_final
2018-08-29 11:06:14	ga_ls7e_ard_3-1-0_108075_2018-08-29_final
2018-10-19 11:32:46	ga_ls7e_ard_3-0-0_113067_2018-10-19_final
2018-11-27 11:42:50	ga_ls7e_ard_3-0-0_114079_2018-11-27_final
2019-01-27 11:07:19	ga_ls7e_ard_3-0-0_109072_2019-01-27_final
2019-03-19 09:56:58	ga_ls7e_ard_3-1-0_098070_2019-03-19_final
2020-08-20 08:47:07	ga_ls7e_ard_3-1-0_090082_2020-08-19_final
2020-09-10 10:38:47	ga_ls7e_ard_3-1-0_109071_2020-09-10_final
2021-01-20 10:09:21	ga_ls7e_ard_3-2-0_105082_2021-01-20_final
2021-03-15 09:28:59	ga_ls7e_ard_3-2-0_099084_2021-03-14_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2022-02-16 08:43:59	ga_ls7e_ard_3-2-1_097078_2022-02-15_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