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
2000-06-28 08:58:24	ga_ls7e_ard_3-0-0_088081_2000-06-27_final
2000-08-05 11:32:57	ga_ls7e_ard_3-0-0_114067_2000-08-05_final
2001-03-28 09:40:33	ga_ls7e_ard_3-0-0_095082_2001-03-28_final
2001-05-15 09:34:17	ga_ls7e_ard_3-0-0_095067_2001-05-15_final
2002-09-05 11:29:37	ga_ls7e_ard_3-0-0_113082_2002-09-05_final
2003-01-13 09:35:36	ga_ls7e_ard_3-0-0_095074_2003-01-13_final
2003-08-09 09:38:47	ga_ls7e_ard_3-0-0_095082_2003-08-09_final
2003-08-30 11:34:11	ga_ls7e_ard_3-0-0_114077_2003-08-30_final
2003-09-26 09:35:23	ga_ls7e_ard_3-0-0_095074_2003-09-26_final
2003-11-18 11:33:39	ga_ls7e_ard_3-0-0_114075_2003-11-18_final
2003-12-13 11:30:48	ga_ls7e_ard_3-0-0_113083_2003-12-13_final
2004-10-03 11:35:11	ga_ls7e_ard_3-0-0_114079_2004-10-03_final
2004-11-04 11:35:31	ga_ls7e_ard_3-0-0_114079_2004-11-04_final
2005-01-07 11:34:24	ga_ls7e_ard_3-0-0_114075_2005-01-07_final
2005-01-16 11:31:02	ga_ls7e_ard_3-0-0_113082_2005-01-16_final
2005-08-12 11:30:59	ga_ls7e_ard_3-0-0_113082_2005-08-12_final
2005-08-19 11:34:20	ga_ls7e_ard_3-0-0_114075_2005-08-19_final
2006-01-05 09:40:35	ga_ls7e_ard_3-0-0_095083_2006-01-05_final
2006-06-14 09:41:36	ga_ls7e_ard_3-0-0_095085_2006-06-14_final
2006-10-16 11:40:42	ga_ls7e_ard_3-0-0_115075_2006-10-16_final
2007-03-29 09:41:44	ga_ls7e_ard_3-0-0_095084_2007-03-29_final
2007-05-28 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-05-28_final
2007-12-22 11:41:32	ga_ls7e_ard_3-0-0_115075_2007-12-22_final
2008-06-01 11:31:06	ga_ls7e_ard_3-0-0_113081_2008-06-01_final
2008-08-22 09:41:06	ga_ls7e_ard_3-0-0_095086_2008-08-22_final
2008-11-06 11:40:14	ga_ls7e_ard_3-0-0_115075_2008-11-06_final
2009-07-08 09:39:57	ga_ls7e_ard_3-0-0_095080_2009-07-08_final
2009-12-04 11:37:03	ga_ls7e_ard_3-0-0_114078_2009-12-04_final
2010-01-14 11:33:08	ga_ls7e_ard_3-0-0_113082_2010-01-14_final
2010-03-26 11:37:12	ga_ls7e_ard_3-0-0_114075_2010-03-26_final
2010-10-20 11:38:39	ga_ls7e_ard_3-0-0_114078_2010-10-20_final
2010-11-30 11:34:32	ga_ls7e_ard_3-0-0_113082_2010-11-30_final
2011-05-27 09:43:59	ga_ls7e_ard_3-0-0_095082_2011-05-27_final
2011-09-05 11:37:58	ga_ls7e_ard_3-0-0_114074_2011-09-05_final
2011-10-02 09:44:51	ga_ls7e_ard_3-0-0_095085_2011-10-02_final
2012-03-24 11:35:46	ga_ls7e_ard_3-0-0_113082_2012-03-24_final
2012-06-14 09:46:00	ga_ls7e_ard_3-0-0_095085_2012-06-14_final
2012-06-30 09:41:45	ga_ls7e_ard_3-0-0_095074_2012-06-30_final
2012-06-30 09:45:21	ga_ls7e_ard_3-0-0_095083_2012-06-30_final
2012-09-02 09:47:18	ga_ls7e_ard_3-0-0_095086_2012-09-02_final
2012-09-30 11:47:12	ga_ls7e_ard_3-0-0_115076_2012-09-30_final
2012-10-09 11:42:16	ga_ls7e_ard_3-0-0_114079_2012-10-09_final
2013-09-05 09:39:56	ga_ls7e_ard_3-0-0_095067_2013-09-05_final
2013-09-19 11:36:55	ga_ls7e_ard_3-0-0_113081_2013-09-19_final
2013-10-05 11:36:19	ga_ls7e_ard_3-0-0_113079_2013-10-05_final
2014-03-21 11:43:32	ga_ls7e_ard_3-0-0_114079_2014-03-21_final
2014-05-08 11:43:51	ga_ls7e_ard_3-0-0_114079_2014-05-08_final
2014-10-31 11:44:22	ga_ls7e_ard_3-0-0_114078_2014-10-31_final
2015-02-27 11:50:03	ga_ls7e_ard_3-0-0_115075_2015-02-27_final
2015-09-11 09:51:30	ga_ls7e_ard_3-0-0_095085_2015-09-11_final
2015-09-23 11:50:46	ga_ls7e_ard_3-0-0_115074_2015-09-23_final
2016-02-02 09:49:01	ga_ls7e_ard_3-0-0_095074_2016-02-02_final
2016-08-12 09:55:01	ga_ls7e_ard_3-0-0_095087_2016-08-12_final
2016-10-13 11:43:35	ga_ls7e_ard_3-0-0_113080_2016-10-13_final
2017-01-03 09:50:16	ga_ls7e_ard_3-0-0_095076_2017-01-03_final
2017-01-24 11:47:04	ga_ls7e_ard_3-0-0_114075_2017-01-24_final
2017-12-03 11:44:55	ga_ls7e_ard_3-0-0_113084_2017-12-03_final
2017-12-21 09:49:06	ga_ls7e_ard_3-1-0_095073_2017-12-21_final
2018-03-07 11:52:07	ga_ls7e_ard_3-0-0_115074_2018-03-07_final
2018-04-08 11:51:40	ga_ls7e_ard_3-0-0_115074_2018-04-08_final
2018-06-04 11:44:32	ga_ls7e_ard_3-0-0_114074_2018-06-04_final
2018-06-20 11:45:50	ga_ls7e_ard_3-0-0_114078_2018-06-20_final
2018-09-19 09:47:26	ga_ls7e_ard_3-0-0_095080_2018-09-19_final
2018-10-21 09:48:39	ga_ls7e_ard_3-0-0_095085_2018-10-21_final
2019-11-25 09:27:10	ga_ls7e_ard_3-1-0_095067_2019-11-24_final
2021-02-19 10:17:06	ga_ls7e_ard_3-2-0_107076_2021-02-19_final
2021-03-17 09:11:16	ga_ls7e_ard_3-2-0_097071_2021-03-16_final
2021-03-19 09:02:45	ga_ls7e_ard_3-2-0_095081_2021-03-18_final
2021-03-30 08:42:31	ga_ls7e_ard_3-2-0_092079_2021-03-29_final
2021-04-10 08:24:16	ga_ls7e_ard_3-2-0_089082_2021-04-09_final
2021-05-01 08:39:02	ga_ls7e_ard_3-2-0_092077_2021-04-30_final
2021-05-10 08:34:30	ga_ls7e_ard_3-2-0_091083_2021-05-09_final
2021-05-16 09:31:00	ga_ls7e_ard_3-2-0_101071_2021-05-16_final
2021-05-20 09:09:56	ga_ls7e_ard_3-2-0_097081_2021-05-19_final
2021-06-29 08:17:34	ga_ls7e_ard_3-2-0_089082_2021-06-28_final
2021-06-30 08:59:57	ga_ls7e_ard_3-2-0_096080_2021-06-29_final
2021-07-03 09:27:48	ga_ls7e_ard_3-2-0_101073_2021-07-02_final
2021-07-06 09:57:15	ga_ls7e_ard_3-2-0_106070_2021-07-06_final
2021-07-31 09:48:31	ga_ls7e_ard_3-2-0_105069_2021-07-31_final
2021-08-07 08:21:59	ga_ls7e_ard_3-2-0_090086_2021-08-06_final
2021-08-10 08:51:01	ga_ls7e_ard_3-2-0_095082_2021-08-09_final
2021-08-22 09:09:54	ga_ls7e_ard_3-2-0_099070_2021-08-21_final
2021-09-06 10:09:24	ga_ls7e_ard_3-2-0_108083_2021-09-06_final
2021-09-17 09:45:06	ga_ls7e_ard_3-2-0_105071_2021-09-17_final
2021-10-14 09:28:33	ga_ls7e_ard_3-2-0_102082_2021-10-13_final
2021-10-18 09:02:41	ga_ls7e_ard_3-2-0_098080_2021-10-17_final
2021-10-26 09:47:48	ga_ls7e_ard_3-2-0_106071_2021-10-26_final
2021-10-30 09:22:43	ga_ls7e_ard_3-2-0_102071_2021-10-29_final
2021-11-01 09:11:22	ga_ls7e_ard_3-2-0_100074_2021-10-31_final
2021-11-03 08:58:49	ga_ls7e_ard_3-2-0_098074_2021-11-02_final
2021-11-04 08:05:54	ga_ls7e_ard_3-2-0_089081_2021-11-03_final
2021-11-09 09:58:50	ga_ls7e_ard_3-2-0_108071_2021-11-09_final
2021-11-13 09:36:08	ga_ls7e_ard_3-2-1_104077_2021-11-13_final
2021-11-18 09:52:59	ga_ls7e_ard_3-2-1_107074_2021-11-18_final
2021-12-13 08:09:09	ga_ls7e_ard_3-2-1_090083_2021-12-12_final
2021-12-14 10:28:00	ga_ls7e_ard_3-2-1_113075_2021-12-14_final
2021-12-29 08:05:59	ga_ls7e_ard_3-2-1_090079_2021-12-28_final
2021-12-30 08:51:08	ga_ls7e_ard_3-2-1_097084_2021-12-29_final
2022-02-13 09:50:17	ga_ls7e_ard_3-2-1_108073_2022-02-13_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_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