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

88 results

Time (local)	Label
1999-11-25 09:43:21	ga_ls7e_ard_3-0-0_096067_1999-11-25_final
2000-01-08 10:13:20	ga_ls7e_ard_3-0-0_100080_2000-01-08_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2001-04-25 10:04:23	ga_ls7e_ard_3-0-0_099080_2001-04-25_final
2001-08-30 10:56:15	ga_ls7e_ard_3-0-0_108074_2001-08-30_final
2001-10-19 10:41:05	ga_ls7e_ard_3-0-0_106068_2001-10-19_final
2002-01-03 11:05:44	ga_ls7e_ard_3-0-0_110067_2002-01-03_final
2002-03-27 10:02:44	ga_ls7e_ard_3-0-0_099079_2002-03-27_final
2003-05-08 10:08:03	ga_ls7e_ard_3-0-0_100077_2003-05-08_final
2003-08-15 10:38:12	ga_ls7e_ard_3-0-0_105076_2003-08-15_final
2004-01-22 10:38:25	ga_ls7e_ard_3-0-0_105075_2004-01-22_final
2004-07-10 11:15:04	ga_ls7e_ard_3-0-0_111074_2004-07-10_final
2005-05-10 11:15:18	ga_ls7e_ard_3-0-0_111073_2005-05-10_final
2005-08-04 10:38:47	ga_ls7e_ard_3-0-0_105075_2005-08-04_final
2005-09-01 11:02:55	ga_ls7e_ard_3-0-0_109074_2005-09-01_final
2005-10-01 11:14:21	ga_ls7e_ard_3-0-0_111072_2005-10-01_final
2005-10-23 10:38:38	ga_ls7e_ard_3-0-0_105075_2005-10-23_final
2006-02-02 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-02-02_final
2006-02-25 10:07:00	ga_ls7e_ard_3-0-0_100071_2006-02-25_final
2006-04-01 10:39:52	ga_ls7e_ard_3-0-0_105076_2006-04-01_final
2006-06-18 09:18:51	ga_ls7e_ard_3-0-0_091090_2006-06-17_final
2006-07-22 09:02:38	ga_ls7e_ard_3-1-0_089081_2006-07-21_final
2006-11-05 09:41:48	ga_ls7e_ard_3-0-0_095086_2006-11-05_final
2006-11-21 11:15:17	ga_ls7e_ard_3-0-0_111072_2006-11-21_final
2007-03-08 09:24:21	ga_ls7e_ard_3-0-0_092087_2007-03-07_final
2007-04-11 10:43:19	ga_ls7e_ard_3-0-0_106068_2007-04-11_final
2007-07-17 09:47:46	ga_ls7e_ard_3-0-0_097069_2007-07-17_final
2007-12-29 10:07:39	ga_ls7e_ard_3-0-0_100072_2007-12-29_final
2008-01-17 10:40:09	ga_ls7e_ard_3-0-0_105076_2008-01-17_final
2008-03-07 10:29:36	ga_ls7e_ard_3-0-0_103081_2008-03-07_final
2008-04-11 09:23:59	ga_ls7e_ard_3-0-0_092087_2008-04-10_final
2008-09-09 09:21:01	ga_ls7e_ard_3-0-0_093067_2008-09-08_final
2008-09-10 10:08:15	ga_ls7e_ard_3-0-0_100077_2008-09-10_final
2008-10-19 10:13:01	ga_ls7e_ard_3-0-0_101074_2008-10-19_final
2008-11-07 10:43:49	ga_ls7e_ard_3-0-0_106073_2008-11-07_final
2009-10-31 10:09:42	ga_ls7e_ard_3-0-0_100077_2009-10-31_final
2009-11-13 09:38:11	ga_ls7e_ard_3-0-0_095075_2009-11-13_final
2010-01-13 09:12:10	ga_ls7e_ard_3-1-0_090085_2010-01-12_final
2010-01-24 10:31:29	ga_ls7e_ard_3-0-0_103082_2010-01-24_final
2010-02-20 10:09:16	ga_ls7e_ard_3-0-0_100072_2010-02-20_final
2010-04-12 09:03:32	ga_ls7e_ard_3-0-0_089077_2010-04-11_final
2010-05-27 10:11:25	ga_ls7e_ard_3-0-0_100077_2010-05-27_final
2010-05-29 10:01:52	ga_ls7e_ard_3-0-0_098084_2010-05-29_final
2010-10-05 10:41:16	ga_ls7e_ard_3-0-0_105074_2010-10-05_final
2010-12-08 10:45:10	ga_ls7e_ard_3-0-0_105082_2010-12-08_final
2011-02-26 09:04:49	ga_ls7e_ard_3-0-0_089077_2011-02-25_final
2011-07-17 10:12:49	ga_ls7e_ard_3-0-0_100077_2011-07-17_final
2011-11-18 10:38:49	ga_ls7e_ard_3-0-0_104080_2011-11-18_final
2012-01-14 10:33:28	ga_ls7e_ard_3-0-0_103081_2012-01-14_final
2012-03-06 10:04:25	ga_ls7e_ard_3-0-0_099070_2012-03-06_final
2012-04-08 09:16:45	ga_ls7e_ard_3-0-0_090090_2012-04-07_final
2012-05-13 09:39:07	ga_ls7e_ard_3-0-0_095067_2012-05-13_final
2012-05-18 10:04:03	ga_ls7e_ard_3-0-0_098083_2012-05-18_final
2012-08-10 09:41:17	ga_ls7e_ard_3-0-0_094087_2012-08-10_final
2012-10-13 11:12:48	ga_ls7e_ard_3-0-0_110067_2012-10-13_final
2012-12-15 10:35:55	ga_ls7e_ard_3-0-0_103082_2012-12-15_final
2013-03-15 11:12:15	ga_ls7e_ard_3-0-0_109080_2013-03-15_final
2013-04-26 10:09:26	ga_ls7e_ard_3-0-0_099078_2013-04-26_final
2013-08-16 10:11:12	ga_ls7e_ard_3-0-0_099084_2013-08-16_final
2014-03-01 10:29:59	ga_ls7e_ard_3-0-0_102081_2014-03-01_final
2014-11-16 11:44:04	ga_ls7e_ard_3-0-0_114077_2014-11-16_final
2015-03-30 09:32:54	ga_ls7e_ard_3-0-0_092087_2015-03-30_final
2016-03-20 10:44:57	ga_ls7e_ard_3-0-0_104074_2016-03-20_final
2016-07-18 09:53:10	ga_ls7e_ard_3-0-0_096067_2016-07-18_final
2016-07-25 11:41:03	ga_ls7e_ard_3-0-0_113074_2016-07-25_final
2016-08-16 11:04:23	ga_ls7e_ard_3-0-0_107075_2016-08-16_final
2017-02-20 09:46:25	ga_ls7e_ard_3-0-0_095067_2017-02-20_final
2017-07-30 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-07-30_final
2017-09-23 11:37:38	ga_ls7e_ard_3-0-0_112081_2017-09-23_final
2017-11-15 10:16:31	ga_ls7e_ard_3-0-0_099079_2017-11-15_final
2018-03-16 10:06:08	ga_ls7e_ard_3-0-0_098072_2018-03-16_final
2018-06-30 10:45:26	ga_ls7e_ard_3-0-0_104082_2018-06-30_final
2018-07-06 11:46:19	ga_ls7e_ard_3-0-0_114080_2018-07-06_final
2018-07-12 11:06:43	ga_ls7e_ard_3-0-0_108074_2018-07-12_final
2018-08-08 10:48:30	ga_ls7e_ard_3-0-0_105076_2018-08-08_final
2018-12-01 11:13:13	ga_ls7e_ard_3-0-0_110067_2018-12-01_final
2019-01-14 10:04:33	ga_ls7e_ard_3-0-0_098084_2019-01-14_final
2019-01-27 11:08:55	ga_ls7e_ard_3-0-0_109076_2019-01-27_final
2019-04-28 09:08:54	ga_ls7e_ard_3-0-0_090077_2019-04-27_final
2019-05-06 10:01:14	ga_ls7e_ard_3-0-0_098085_2019-05-06_final
2019-07-15 09:20:44	ga_ls7e_ard_3-0-0_092083_2019-07-14_final
2020-01-23 09:08:51	ga_ls7e_ard_3-1-0_092075_2020-01-22_final
2020-06-26 10:20:50	ga_ls7e_ard_3-1-0_105076_2020-06-26_final
2020-08-29 10:16:02	ga_ls7e_ard_3-1-0_105074_2020-08-29_final
2020-09-05 10:22:10	ga_ls7e_ard_3-1-0_106075_2020-09-05_final
2021-06-28 10:49:22	ga_ls7e_ard_3-2-0_114075_2021-06-28_final
2021-12-12 08:59:16	ga_ls7e_ard_3-2-1_099069_2021-12-11_final
2022-02-23 08:49:30	ga_ls7e_ard_3-2-1_098078_2022-02-22_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