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

First 100 results (query limit)

Time (local)	Label
2000-01-26 11:37:26	ga_ls7e_ard_3-0-0_114074_2000-01-26_final
2001-10-22 11:13:35	ga_ls7e_ard_3-0-0_111072_2001-10-22_final
2003-11-09 11:41:17	ga_ls7e_ard_3-0-0_115079_2003-11-09_final
2003-11-18 11:35:38	ga_ls7e_ard_3-0-0_114080_2003-11-18_final
2003-12-15 11:14:04	ga_ls7e_ard_3-0-0_111072_2003-12-15_final
2004-02-08 11:24:34	ga_ls7e_ard_3-0-0_112082_2004-02-08_final
2004-02-17 09:35:31	ga_ls7e_ard_3-0-0_095072_2004-02-17_final
2004-04-21 11:14:24	ga_ls7e_ard_3-0-0_111072_2004-04-21_final
2004-05-07 11:12:52	ga_ls7e_ard_3-0-0_111068_2004-05-07_final
2004-05-23 09:35:59	ga_ls7e_ard_3-1-0_095073_2004-05-23_final
2004-08-18 11:21:04	ga_ls7e_ard_3-0-0_112074_2004-08-18_final
2005-04-15 11:19:02	ga_ls7e_ard_3-0-0_112067_2005-04-15_final
2005-05-06 11:40:49	ga_ls7e_ard_3-0-0_115075_2005-05-06_final
2005-06-11 11:19:09	ga_ls7e_ard_3-0-0_111083_2005-06-11_final
2005-11-23 11:34:58	ga_ls7e_ard_3-0-0_114076_2005-11-23_final
2005-12-04 09:41:59	ga_ls7e_ard_3-0-0_095087_2005-12-04_final
2006-12-21 11:31:26	ga_ls7e_ard_3-0-0_113081_2006-12-21_final
2006-12-23 11:16:17	ga_ls7e_ard_3-0-0_111074_2006-12-23_final
2007-03-29 11:14:14	ga_ls7e_ard_3-0-0_111068_2007-03-29_final
2007-04-14 11:13:48	ga_ls7e_ard_3-0-0_111067_2007-04-14_final
2007-05-25 11:14:11	ga_ls7e_ard_3-0-0_110084_2007-05-25_final
2007-11-22 11:32:13	ga_ls7e_ard_3-0-0_113083_2007-11-22_final
2007-11-24 11:13:53	ga_ls7e_ard_3-0-0_111068_2007-11-24_final
2007-12-31 11:35:22	ga_ls7e_ard_3-0-0_114075_2007-12-31_final
2008-07-05 11:12:49	ga_ls7e_ard_3-0-0_111067_2008-07-05_final
2008-07-21 09:40:07	ga_ls7e_ard_3-0-0_095083_2008-07-21_final
2008-08-02 11:41:39	ga_ls7e_ard_3-0-0_115078_2008-08-02_final
2009-01-13 11:12:59	ga_ls7e_ard_3-0-0_111067_2009-01-13_final
2009-03-14 11:42:57	ga_ls7e_ard_3-0-0_115079_2009-03-14_final
2009-06-22 11:16:06	ga_ls7e_ard_3-0-0_111073_2009-06-22_final
2009-07-08 09:37:09	ga_ls7e_ard_3-1-0_095073_2009-07-08_final
2009-08-23 11:28:37	ga_ls7e_ard_3-0-0_113074_2009-08-23_final
2009-09-22 11:42:57	ga_ls7e_ard_3-0-0_115079_2009-09-22_final
2010-10-31 09:40:07	ga_ls7e_ard_3-0-0_095075_2010-10-31_final
2010-12-18 09:39:26	ga_ls7e_ard_3-0-0_095072_2010-12-18_final
2011-02-18 11:32:18	ga_ls7e_ard_3-0-0_113075_2011-02-18_final
2011-05-25 11:29:14	ga_ls7e_ard_3-0-0_113067_2011-05-25_final
2011-06-24 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-06-24_final
2011-11-19 09:40:01	ga_ls7e_ard_3-0-0_095072_2011-11-19_final
2011-11-26 11:28:45	ga_ls7e_ard_3-0-0_112081_2011-11-26_final
2012-05-29 11:20:35	ga_ls7e_ard_3-0-0_111074_2012-05-29_final
2012-08-17 11:20:03	ga_ls7e_ard_3-0-0_111071_2012-08-17_final
2013-02-09 09:43:25	ga_ls7e_ard_3-0-0_095074_2013-02-09_final
2013-03-13 09:40:33	ga_ls7e_ard_3-0-0_095067_2013-03-13_final
2013-07-01 11:31:11	ga_ls7e_ard_3-0-0_113067_2013-07-01_final
2014-02-28 11:21:36	ga_ls7e_ard_3-0-0_111071_2014-02-28_final
2014-04-17 11:21:59	ga_ls7e_ard_3-0-0_111071_2014-04-17_final
2014-08-07 11:23:20	ga_ls7e_ard_3-0-0_111073_2014-08-07_final
2014-12-29 09:50:30	ga_ls7e_ard_3-0-0_095086_2014-12-29_final
2015-01-10 11:49:46	ga_ls7e_ard_3-0-0_115075_2015-01-10_final
2015-04-20 09:51:13	ga_ls7e_ard_3-0-0_095086_2015-04-20_final
2015-07-25 09:51:21	ga_ls7e_ard_3-0-0_095085_2015-07-25_final
2016-01-24 11:37:59	ga_ls7e_ard_3-0-0_112084_2016-01-24_final
2016-03-26 11:46:46	ga_ls7e_ard_3-0-0_114074_2016-03-26_final
2016-05-22 11:44:04	ga_ls7e_ard_3-0-0_113082_2016-05-22_final
2017-04-30 11:48:16	ga_ls7e_ard_3-0-0_114077_2017-04-30_final
2017-06-12 09:54:36	ga_ls7e_ard_3-0-0_095086_2017-06-12_final
2017-08-04 11:48:03	ga_ls7e_ard_3-0-0_114076_2017-08-04_final
2017-09-16 11:27:28	ga_ls7e_ard_3-0-0_111071_2017-09-16_final
2018-04-08 11:53:40	ga_ls7e_ard_3-0-0_115079_2018-04-08_final
2018-09-19 11:24:19	ga_ls7e_ard_3-0-0_111075_2018-09-19_final
2018-10-10 11:43:09	ga_ls7e_ard_3-0-0_114077_2018-10-10_final
2018-11-02 11:47:37	ga_ls7e_ard_3-0-0_115074_2018-11-02_final
2018-11-06 11:22:00	ga_ls7e_ard_3-0-0_111072_2018-11-06_final
2019-02-26 11:18:47	ga_ls7e_ard_3-1-0_111072_2019-02-26_final
2019-03-10 11:44:19	ga_ls7e_ard_3-1-0_115075_2019-03-10_final
2019-03-30 09:42:51	ga_ls7e_ard_3-0-0_095082_2019-03-30_final
2019-04-15 11:17:10	ga_ls7e_ard_3-0-0_111072_2019-04-15_final
2019-05-13 11:41:38	ga_ls7e_ard_3-0-0_115074_2019-05-13_final
2019-07-04 11:14:35	ga_ls7e_ard_3-0-0_111073_2019-07-04_final
2019-09-06 11:11:10	ga_ls7e_ard_3-1-0_111071_2019-09-06_final
2019-10-24 11:10:19	ga_ls7e_ard_3-1-0_111074_2019-10-24_final
2019-12-25 11:19:42	ga_ls7e_ard_3-1-0_113074_2019-12-25_final
2020-01-01 11:28:19	ga_ls7e_ard_3-1-0_114081_2020-01-01_final
2020-01-03 11:13:51	ga_ls7e_ard_3-1-0_112076_2020-01-03_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-10-08 11:06:28	ga_ls7e_ard_3-1-0_113083_2020-10-08_final
2021-02-12 08:37:21	ga_ls7e_ard_3-2-0_090088_2021-02-11_final
2021-02-20 09:21:48	ga_ls7e_ard_3-2-0_098077_2021-02-19_final
2021-02-21 10:04:35	ga_ls7e_ard_3-2-0_105076_2021-02-21_final
2021-03-06 09:31:05	ga_ls7e_ard_3-2-0_100072_2021-03-06_final
2021-03-08 10:58:15	ga_ls7e_ard_3-2-0_114074_2021-03-08_final
2021-05-02 09:23:25	ga_ls7e_ard_3-2-0_099080_2021-05-01_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-06-02 08:39:55	ga_ls7e_ard_3-2-0_092086_2021-06-01_final
2021-06-27 10:05:47	ga_ls7e_ard_3-2-0_107074_2021-06-27_final
2021-07-03 09:28:12	ga_ls7e_ard_3-2-0_101074_2021-07-02_final
2021-07-11 08:42:52	ga_ls7e_ard_3-2-0_093086_2021-07-10_final
2021-08-23 08:21:46	ga_ls7e_ard_3-2-0_090089_2021-08-22_final
2021-10-20 10:29:25	ga_ls7e_ard_3-2-0_112081_2021-10-20_final
2021-11-23 08:31:45	ga_ls7e_ard_3-2-1_094073_2021-11-22_final
2021-11-24 09:15:43	ga_ls7e_ard_3-2-1_101075_2021-11-23_final
2021-11-28 08:48:38	ga_ls7e_ard_3-2-1_097070_2021-11-27_final
2022-01-19 08:20:30	ga_ls7e_ard_3-2-1_093074_2022-01-18_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_final
2022-01-31 08:48:26	ga_ls7e_ard_3-2-1_097085_2022-01-30_final
2022-02-07 08:46:43	ga_ls7e_ard_3-2-1_098067_2022-02-06_final
2022-03-04 08:40:28	ga_ls7e_ard_3-2-1_097073_2022-03-03_final
2022-03-09 08:57:43	ga_ls7e_ard_3-2-1_100071_2022-03-08_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