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
1999-11-27 11:11:53	ga_ls7e_ard_3-1-0_110072_1999-11-27_final
2000-01-02 10:48:23	ga_ls7e_ard_3-1-0_106075_2000-01-02_final
2003-12-24 11:07:58	ga_ls7e_ard_3-1-0_110072_2003-12-24_final
2004-01-25 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-01-25_final
2004-06-29 09:57:09	ga_ls7e_ard_3-1-0_098080_2004-06-29_final
2004-12-26 11:08:25	ga_ls7e_ard_3-1-0_110072_2004-12-26_final
2005-08-03 09:57:32	ga_ls7e_ard_3-1-0_098080_2005-08-03_final
2005-11-23 09:57:41	ga_ls7e_ard_3-1-0_098080_2005-11-23_final
2006-03-23 10:45:40	ga_ls7e_ard_3-1-0_106075_2006-03-23_final
2006-09-27 11:08:33	ga_ls7e_ard_3-1-0_110072_2006-09-27_final
2006-12-13 09:03:04	ga_ls7e_ard_3-1-0_089081_2006-12-12_final
2006-12-28 09:58:21	ga_ls7e_ard_3-1-0_098080_2006-12-28_final
2007-01-29 09:58:27	ga_ls7e_ard_3-1-0_098080_2007-01-29_final
2007-09-23 09:30:13	ga_ls7e_ard_3-1-0_093088_2007-09-23_final
2007-11-05 09:09:31	ga_ls7e_ard_3-1-0_090082_2007-11-04_final
2007-11-21 10:45:45	ga_ls7e_ard_3-1-0_106075_2007-11-21_final
2008-04-18 09:30:09	ga_ls7e_ard_3-1-0_093087_2008-04-18_final
2008-07-14 09:30:02	ga_ls7e_ard_3-1-0_094073_2008-07-14_final
2008-07-30 09:29:53	ga_ls7e_ard_3-1-0_094073_2008-07-29_final
2008-07-30 11:08:22	ga_ls7e_ard_3-1-0_110072_2008-07-30_final
2009-03-25 11:22:29	ga_ls7e_ard_3-1-0_112074_2009-03-25_final
2009-07-21 10:45:53	ga_ls7e_ard_3-1-0_106075_2009-07-21_final
2009-09-12 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-09-11_final
2009-10-18 09:03:06	ga_ls7e_ard_3-1-0_089081_2009-10-17_final
2009-11-04 11:26:43	ga_ls7e_ard_3-1-0_112084_2009-11-04_final
2009-12-05 09:03:45	ga_ls7e_ard_3-1-0_089081_2009-12-04_final
2010-01-25 11:10:46	ga_ls7e_ard_3-1-0_110072_2010-01-25_final
2010-08-03 11:24:29	ga_ls7e_ard_3-1-0_112074_2010-08-03_final
2011-01-12 11:12:23	ga_ls7e_ard_3-1-0_110072_2011-01-12_final
2012-01-15 11:13:08	ga_ls7e_ard_3-1-0_110072_2012-01-15_final
2012-02-09 09:34:08	ga_ls7e_ard_3-1-0_093087_2012-02-09_final
2012-03-23 10:49:43	ga_ls7e_ard_3-1-0_106075_2012-03-23_final
2012-11-18 10:51:33	ga_ls7e_ard_3-1-0_106075_2012-11-18_final
2013-02-22 10:51:45	ga_ls7e_ard_3-1-0_106075_2013-02-22_final
2014-01-08 10:52:01	ga_ls7e_ard_3-1-0_106075_2014-01-08_final
2014-11-02 11:34:26	ga_ls7e_ard_3-1-0_112084_2014-11-02_final
2015-05-28 09:15:35	ga_ls7e_ard_3-1-0_089089_2015-05-27_final
2015-09-24 09:20:39	ga_ls7e_ard_3-1-0_090085_2015-09-23_final
2015-12-25 11:20:25	ga_ls7e_ard_3-1-0_110072_2015-12-25_final
2016-04-18 10:18:36	ga_ls7e_ard_3-1-0_099085_2016-04-18_final
2016-07-20 11:21:41	ga_ls7e_ard_3-1-0_110072_2016-07-20_final
2016-07-24 10:58:11	ga_ls7e_ard_3-1-0_106075_2016-07-24_final
2017-08-12 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-08-12_final
2018-06-24 11:18:39	ga_ls7e_ard_3-1-0_110072_2018-06-24_final
2018-10-14 11:17:32	ga_ls7e_ard_3-1-0_110075_2018-10-14_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-02-28 11:07:57	ga_ls7e_ard_3-1-0_109076_2019-02-28_final
2019-03-07 11:12:43	ga_ls7e_ard_3-1-0_110073_2019-03-07_final
2019-03-14 11:18:16	ga_ls7e_ard_3-1-0_111072_2019-03-14_final
2019-03-22 10:28:34	ga_ls7e_ard_3-1-0_103072_2019-03-22_final
2019-04-20 09:59:50	ga_ls7e_ard_3-1-0_098080_2019-04-20_final
2019-07-13 11:07:40	ga_ls7e_ard_3-1-0_110072_2019-07-13_final
2019-08-27 09:01:38	ga_ls7e_ard_3-1-0_089086_2019-08-26_final
2019-09-02 09:57:11	ga_ls7e_ard_3-1-0_099071_2019-09-02_final
2019-09-11 09:49:01	ga_ls7e_ard_3-1-0_098067_2019-09-11_final
2019-09-18 10:00:04	ga_ls7e_ard_3-1-0_099080_2019-09-18_final
2019-09-19 09:03:12	ga_ls7e_ard_3-1-0_090077_2019-09-18_final
2019-09-22 11:11:15	ga_ls7e_ard_3-1-0_111073_2019-09-22_final
2019-10-07 10:30:34	ga_ls7e_ard_3-1-0_104081_2019-10-07_final
2019-10-23 10:26:42	ga_ls7e_ard_3-1-0_104073_2019-10-23_final
2019-11-02 11:06:56	ga_ls7e_ard_3-1-0_110082_2019-11-02_final
2019-11-02 11:07:43	ga_ls7e_ard_3-1-0_110084_2019-11-02_final
2019-11-11 10:57:57	ga_ls7e_ard_3-1-0_109076_2019-11-11_final
2019-11-12 10:00:17	ga_ls7e_ard_3-1-0_100071_2019-11-12_final
2019-11-22 10:37:41	ga_ls7e_ard_3-1-0_106073_2019-11-22_final
2019-11-29 10:43:56	ga_ls7e_ard_3-1-0_107074_2019-11-29_final
2019-11-29 10:44:44	ga_ls7e_ard_3-1-0_107076_2019-11-29_final
2019-11-30 09:46:40	ga_ls7e_ard_3-1-0_098070_2019-11-30_final
2019-12-01 08:56:59	ga_ls7e_ard_3-1-0_089085_2019-11-30_final
2019-12-07 09:52:06	ga_ls7e_ard_3-1-0_099069_2019-12-07_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2019-12-10 10:22:27	ga_ls7e_ard_3-1-0_104068_2019-12-10_final
2019-12-10 10:22:51	ga_ls7e_ard_3-1-0_104069_2019-12-10_final
2019-12-11 11:08:04	ga_ls7e_ard_3-1-0_111074_2019-12-11_final
2019-12-16 11:29:09	ga_ls7e_ard_3-1-0_114081_2019-12-16_final
2019-12-17 08:53:48	ga_ls7e_ard_3-1-0_089079_2019-12-16_final
2020-01-01 11:25:55	ga_ls7e_ard_3-1-0_114075_2020-01-01_final
2020-01-09 10:34:52	ga_ls7e_ard_3-1-0_106072_2020-01-09_final
2020-01-17 09:47:02	ga_ls7e_ard_3-1-0_098077_2020-01-17_final
2020-01-17 09:49:26	ga_ls7e_ard_3-1-0_098083_2020-01-17_final
2020-01-19 11:12:15	ga_ls7e_ard_3-1-0_112074_2020-01-19_final
2020-01-21 11:00:36	ga_ls7e_ard_3-1-0_110076_2020-01-21_final
2020-01-24 09:49:17	ga_ls7e_ard_3-1-0_099068_2020-01-24_final
2020-01-25 10:33:41	ga_ls7e_ard_3-1-0_106071_2020-01-25_final
2020-01-28 11:04:50	ga_ls7e_ard_3-1-0_111072_2020-01-28_final
2020-02-06 11:02:59	ga_ls7e_ard_3-1-0_110084_2020-02-06_final
2020-02-18 11:25:05	ga_ls7e_ard_3-1-0_114079_2020-02-18_final
2020-02-20 11:13:49	ga_ls7e_ard_3-1-0_112082_2020-02-20_final
2020-02-22 10:59:22	ga_ls7e_ard_3-1-0_110077_2020-02-22_final
2020-02-27 09:35:34	ga_ls7e_ard_3-1-0_097069_2020-02-27_final
2020-03-08 10:16:54	ga_ls7e_ard_3-1-0_103081_2020-03-08_final
2020-03-12 09:48:22	ga_ls7e_ard_3-1-0_099072_2020-03-12_final
2020-03-25 09:20:20	ga_ls7e_ard_3-1-0_094081_2020-03-24_final
2020-04-20 09:57:07	ga_ls7e_ard_3-1-0_100084_2020-04-20_final
2020-04-26 10:55:46	ga_ls7e_ard_3-1-0_110077_2020-04-26_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_final
2022-03-22 10:04:48	ga_ls7e_ard_3-2-1_111072_2022-03-22_final
2022-03-23 09:07:30	ga_ls7e_ard_3-2-1_102068_2022-03-22_final
2022-03-23 09:07:54	ga_ls7e_ard_3-2-1_102069_2022-03-22_final
2022-03-28 09:27:57	ga_ls7e_ard_3-2-1_105074_2022-03-27_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