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
1999-10-07 09:05:57	ga_ls7e_ard_3-1-0_089081_1999-10-06_final
2000-03-27 11:09:05	ga_ls7e_ard_3-1-0_109081_2000-03-27_final
2001-09-01 09:09:22	ga_ls7e_ard_3-1-0_090085_2001-08-31_final
2001-09-20 09:35:15	ga_ls7e_ard_3-1-0_095073_2001-09-20_final
2002-07-14 11:07:29	ga_ls7e_ard_3-1-0_110072_2002-07-14_final
2002-09-03 11:40:00	ga_ls7e_ard_3-1-0_115077_2002-09-03_final
2002-12-05 11:07:22	ga_ls7e_ard_3-1-0_110072_2002-12-05_final
2002-12-18 09:01:10	ga_ls7e_ard_3-1-0_089081_2002-12-17_final
2003-12-31 09:35:42	ga_ls7e_ard_3-1-0_095073_2003-12-31_final
2004-02-22 09:57:14	ga_ls7e_ard_3-1-0_098080_2004-02-22_final
2005-01-15 10:45:47	ga_ls7e_ard_3-1-0_106077_2005-01-15_final
2005-01-23 09:57:32	ga_ls7e_ard_3-1-0_098080_2005-01-23_final
2005-03-16 11:06:49	ga_ls7e_ard_3-1-0_110067_2005-03-16_final
2005-07-10 10:45:00	ga_ls7e_ard_3-1-0_106075_2005-07-10_final
2005-12-26 09:02:36	ga_ls7e_ard_3-1-0_089081_2005-12-25_final
2006-03-13 10:11:00	ga_ls7e_ard_3-1-0_100081_2006-03-13_final
2006-06-03 09:58:11	ga_ls7e_ard_3-1-0_098080_2006-06-03_final
2006-08-29 11:41:38	ga_ls7e_ard_3-1-0_115077_2006-08-29_final
2006-11-23 09:30:02	ga_ls7e_ard_3-1-0_093087_2006-11-23_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2006-12-18 09:24:26	ga_ls7e_ard_3-1-0_092088_2006-12-17_final
2007-03-06 11:09:37	ga_ls7e_ard_3-1-0_110072_2007-03-06_final
2007-06-10 09:28:29	ga_ls7e_ard_3-1-0_094067_2007-06-09_final
2008-07-14 09:35:37	ga_ls7e_ard_3-1-0_094087_2008-07-14_final
2008-11-03 09:30:00	ga_ls7e_ard_3-1-0_094074_2008-11-03_final
2009-06-08 09:28:52	ga_ls7e_ard_3-1-0_093083_2009-06-07_final
2009-06-19 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-06-18_final
2009-09-16 09:06:16	ga_ls7e_ard_3-1-0_089089_2009-09-15_final
2009-12-24 11:10:16	ga_ls7e_ard_3-1-0_110072_2009-12-24_final
2010-02-22 10:00:07	ga_ls7e_ard_3-1-0_098080_2010-02-22_final
2010-02-26 11:11:07	ga_ls7e_ard_3-1-0_110072_2010-02-26_final
2010-10-11 10:08:39	ga_ls7e_ard_3-1-0_099085_2010-10-11_final
2011-07-26 11:45:29	ga_ls7e_ard_3-1-0_115077_2011-07-26_final
2013-05-18 09:35:54	ga_ls7e_ard_3-1-0_093087_2013-05-18_final
2014-02-25 09:17:24	ga_ls7e_ard_3-1-0_090085_2014-02-24_final
2014-05-30 09:32:26	ga_ls7e_ard_3-1-0_092090_2014-05-30_final
2014-06-13 09:35:38	ga_ls7e_ard_3-1-0_094067_2014-06-13_final
2015-02-12 09:19:21	ga_ls7e_ard_3-1-0_090085_2015-02-11_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2015-12-13 09:21:50	ga_ls7e_ard_3-1-0_090085_2015-12-12_final
2016-05-21 10:58:00	ga_ls7e_ard_3-1-0_106075_2016-05-21_final
2016-06-22 10:58:09	ga_ls7e_ard_3-1-0_106075_2016-06-22_final
2017-01-03 09:49:05	ga_ls7e_ard_3-1-0_095073_2017-01-03_final
2017-03-08 09:48:56	ga_ls7e_ard_3-1-0_095073_2017-03-08_final
2017-09-23 11:34:51	ga_ls7e_ard_3-1-0_112074_2017-09-23_final
2017-10-20 09:42:40	ga_ls7e_ard_3-1-0_093087_2017-10-20_final
2018-01-19 10:57:29	ga_ls7e_ard_3-1-0_106075_2018-01-19_final
2018-06-24 11:18:39	ga_ls7e_ard_3-1-0_110072_2018-06-24_final
2018-08-14 11:50:36	ga_ls7e_ard_3-1-0_115077_2018-08-14_final
2018-08-15 10:54:09	ga_ls7e_ard_3-1-0_106075_2018-08-15_final
2019-01-16 11:31:01	ga_ls7e_ard_3-1-0_112084_2019-01-16_final
2019-02-19 09:34:20	ga_ls7e_ard_3-1-0_094073_2019-02-19_final
2019-02-22 11:44:26	ga_ls7e_ard_3-1-0_115074_2019-02-22_final
2019-02-22 11:46:01	ga_ls7e_ard_3-1-0_115078_2019-02-22_final
2019-02-23 10:49:10	ga_ls7e_ard_3-1-0_106075_2019-02-23_final
2019-02-26 11:18:47	ga_ls7e_ard_3-1-0_111072_2019-02-26_final
2019-03-01 10:10:19	ga_ls7e_ard_3-1-0_100071_2019-03-01_final
2019-03-03 10:00:41	ga_ls7e_ard_3-1-0_098078_2019-03-03_final
2019-03-07 11:12:43	ga_ls7e_ard_3-1-0_110073_2019-03-07_final
2019-03-10 10:04:14	ga_ls7e_ard_3-1-0_099072_2019-03-10_final
2019-03-10 11:45:31	ga_ls7e_ard_3-1-0_115078_2019-03-10_final
2019-03-27 10:48:08	ga_ls7e_ard_3-1-0_106075_2019-03-27_final
2019-09-04 11:24:49	ga_ls7e_ard_3-1-0_113074_2019-09-04_final
2019-09-17 09:20:27	ga_ls7e_ard_3-1-0_092089_2019-09-16_final
2019-09-27 09:53:29	ga_ls7e_ard_3-1-0_098080_2019-09-27_final
2019-10-29 09:51:45	ga_ls7e_ard_3-1-0_098079_2019-10-29_final
2019-11-07 09:47:33	ga_ls7e_ard_3-1-0_097085_2019-11-07_final
2019-11-07 11:22:03	ga_ls7e_ard_3-1-0_113074_2019-11-07_final
2019-11-12 10:00:41	ga_ls7e_ard_3-1-0_100072_2019-11-12_final
2019-11-21 09:52:53	ga_ls7e_ard_3-1-0_099069_2019-11-21_final
2019-11-22 09:00:24	ga_ls7e_ard_3-1-0_090077_2019-11-21_final
2019-11-29 10:43:56	ga_ls7e_ard_3-1-0_107074_2019-11-29_final
2019-12-07 09:56:30	ga_ls7e_ard_3-1-0_099080_2019-12-07_final
2019-12-08 09:02:49	ga_ls7e_ard_3-1-0_090085_2019-12-07_final
2019-12-08 10:37:19	ga_ls7e_ard_3-1-0_106074_2019-12-08_final
2019-12-08 10:40:30	ga_ls7e_ard_3-1-0_106082_2019-12-08_final
2019-12-24 09:01:37	ga_ls7e_ard_3-1-0_090084_2019-12-23_final
2019-12-24 09:03:12	ga_ls7e_ard_3-1-0_090088_2019-12-23_final
2020-01-08 09:51:39	ga_ls7e_ard_3-1-0_099072_2020-01-08_final
2020-01-12 09:26:44	ga_ls7e_ard_3-1-0_095072_2020-01-11_final
2020-01-21 10:59:48	ga_ls7e_ard_3-1-0_110074_2020-01-21_final
2020-01-25 10:32:53	ga_ls7e_ard_3-1-0_106069_2020-01-25_final
2020-01-25 10:33:17	ga_ls7e_ard_3-1-0_106070_2020-01-25_final
2020-02-11 09:36:48	ga_ls7e_ard_3-1-0_097070_2020-02-11_final
2020-02-12 10:19:37	ga_ls7e_ard_3-1-0_104069_2020-02-12_final
2020-02-17 10:38:17	ga_ls7e_ard_3-1-0_107070_2020-02-17_final
2020-02-22 10:57:22	ga_ls7e_ard_3-1-0_110072_2020-02-22_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-09 10:54:31	ga_ls7e_ard_3-1-0_110067_2020-03-09_final
2020-03-14 09:34:42	ga_ls7e_ard_3-1-0_097069_2020-03-14_final
2020-03-26 09:59:33	ga_ls7e_ard_3-1-0_101071_2020-03-26_final
2020-03-30 09:37:48	ga_ls7e_ard_3-1-0_097079_2020-03-30_final
2020-04-01 09:28:31	ga_ls7e_ard_3-1-0_095087_2020-03-31_final
2020-04-06 09:43:35	ga_ls7e_ard_3-1-0_098079_2020-04-06_final
2020-04-06 11:20:28	ga_ls7e_ard_3-1-0_114074_2020-04-06_final
2020-04-11 10:01:26	ga_ls7e_ard_3-1-0_101078_2020-04-11_final
2020-04-15 09:37:17	ga_ls7e_ard_3-1-0_097080_2020-04-15_final
2020-04-15 09:38:52	ga_ls7e_ard_3-1-0_097084_2020-04-15_final
2020-04-22 09:38:39	ga_ls7e_ard_3-1-0_098069_2020-04-22_final
2022-03-19 09:38:34	ga_ls7e_ard_3-2-1_106083_2022-03-19_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