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
2000-04-07 10:48:00	ga_ls7e_ard_3-1-0_106075_2000-04-07_final
2001-11-20 10:44:06	ga_ls7e_ard_3-1-0_106075_2001-11-20_final
2002-02-01 09:01:43	ga_ls7e_ard_3-1-0_089081_2002-01-31_final
2003-11-15 09:28:36	ga_ls7e_ard_3-1-0_093087_2003-11-14_final
2004-01-25 09:30:04	ga_ls7e_ard_3-1-0_094074_2004-01-25_final
2004-11-12 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-11-11_final
2004-12-03 09:29:09	ga_ls7e_ard_3-1-0_093087_2004-12-02_final
2005-10-26 11:08:23	ga_ls7e_ard_3-1-0_110072_2005-10-26_final
2006-07-21 09:57:52	ga_ls7e_ard_3-1-0_098080_2006-07-21_final
2006-09-15 09:11:26	ga_ls7e_ard_3-1-0_090088_2006-09-14_final
2006-12-25 09:30:14	ga_ls7e_ard_3-1-0_093087_2006-12-25_final
2007-04-23 11:09:36	ga_ls7e_ard_3-1-0_110072_2007-04-23_final
2008-02-09 10:45:53	ga_ls7e_ard_3-1-0_106075_2008-02-09_final
2008-07-30 09:29:53	ga_ls7e_ard_3-1-0_094073_2008-07-29_final
2009-03-25 11:22:29	ga_ls7e_ard_3-1-0_112074_2009-03-25_final
2009-11-18 09:58:47	ga_ls7e_ard_3-1-0_098080_2009-11-18_final
2009-12-05 09:03:45	ga_ls7e_ard_3-1-0_089081_2009-12-04_final
2009-12-28 10:46:48	ga_ls7e_ard_3-1-0_106075_2009-12-28_final
2010-03-07 11:08:36	ga_ls7e_ard_3-1-0_109081_2010-03-07_final
2012-01-15 11:13:08	ga_ls7e_ard_3-1-0_110072_2012-01-15_final
2012-02-04 10:49:40	ga_ls7e_ard_3-1-0_106075_2012-02-04_final
2012-04-08 10:49:39	ga_ls7e_ard_3-1-0_106075_2012-04-08_final
2012-07-29 10:50:30	ga_ls7e_ard_3-1-0_106075_2012-07-29_final
2012-08-03 09:35:00	ga_ls7e_ard_3-1-0_093087_2012-08-03_final
2012-10-22 09:35:50	ga_ls7e_ard_3-1-0_093087_2012-10-22_final
2014-01-17 09:12:43	ga_ls7e_ard_3-1-0_089089_2014-01-16_final
2014-03-09 11:15:55	ga_ls7e_ard_3-1-0_110072_2014-03-09_final
2014-05-25 09:10:17	ga_ls7e_ard_3-1-0_089081_2014-05-24_final
2015-01-11 10:54:57	ga_ls7e_ard_3-1-0_106077_2015-01-11_final
2015-02-12 09:19:21	ga_ls7e_ard_3-1-0_090085_2015-02-11_final
2015-07-31 09:15:53	ga_ls7e_ard_3-1-0_089089_2015-07-30_final
2015-11-07 11:19:40	ga_ls7e_ard_3-1-0_110072_2015-11-07_final
2016-01-07 09:14:25	ga_ls7e_ard_3-1-0_089081_2016-01-06_final
2016-04-24 09:42:22	ga_ls7e_ard_3-1-0_093087_2016-04-24_final
2016-05-21 10:58:00	ga_ls7e_ard_3-1-0_106075_2016-05-21_final
2016-06-27 09:42:36	ga_ls7e_ard_3-1-0_093087_2016-06-27_final
2017-01-10 11:38:27	ga_ls7e_ard_3-1-0_112084_2017-01-10_final
2017-09-25 11:21:42	ga_ls7e_ard_3-1-0_110072_2017-09-25_final
2018-01-03 09:21:38	ga_ls7e_ard_3-1-0_090082_2018-01-02_final
2018-07-06 10:07:26	ga_ls7e_ard_3-1-0_098080_2018-07-06_final
2018-09-08 10:06:13	ga_ls7e_ard_3-1-0_098080_2018-09-08_final
2019-01-21 10:10:55	ga_ls7e_ard_3-1-0_099085_2019-01-21_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-02-28 11:07:33	ga_ls7e_ard_3-1-0_109075_2019-02-28_final
2019-03-01 10:10:42	ga_ls7e_ard_3-1-0_100072_2019-03-01_final
2019-03-05 11:22:45	ga_ls7e_ard_3-1-0_112067_2019-03-05_final
2019-03-05 11:25:32	ga_ls7e_ard_3-1-0_112074_2019-03-05_final
2019-03-10 10:07:26	ga_ls7e_ard_3-1-0_099080_2019-03-10_final
2019-03-12 11:31:30	ga_ls7e_ard_3-1-0_113074_2019-03-12_final
2019-03-20 09:06:06	ga_ls7e_ard_3-1-0_089082_2019-03-19_final
2019-03-26 10:01:43	ga_ls7e_ard_3-1-0_099067_2019-03-26_final
2019-09-08 09:25:26	ga_ls7e_ard_3-1-0_093085_2019-09-07_final
2019-09-20 11:27:42	ga_ls7e_ard_3-1-0_113083_2019-09-20_final
2019-09-20 11:28:06	ga_ls7e_ard_3-1-0_113084_2019-09-20_final
2019-09-24 10:59:12	ga_ls7e_ard_3-1-0_109074_2019-09-24_final
2019-10-01 11:04:18	ga_ls7e_ard_3-1-0_110072_2019-10-01_final
2019-10-28 10:45:25	ga_ls7e_ard_3-1-0_107074_2019-10-28_final
2019-11-05 09:54:25	ga_ls7e_ard_3-1-0_099071_2019-11-05_final
2019-11-22 10:37:41	ga_ls7e_ard_3-1-0_106073_2019-11-22_final
2019-11-27 09:17:55	ga_ls7e_ard_3-1-0_093075_2019-11-26_final
2019-11-28 10:03:31	ga_ls7e_ard_3-1-0_100081_2019-11-28_final
2019-11-29 10:44:44	ga_ls7e_ard_3-1-0_107076_2019-11-29_final
2019-11-30 11:27:57	ga_ls7e_ard_3-1-0_114076_2019-11-30_final
2019-12-03 10:21:49	ga_ls7e_ard_3-1-0_103081_2019-12-03_final
2019-12-07 09:52:30	ga_ls7e_ard_3-1-0_099070_2019-12-07_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2019-12-09 09:44:02	ga_ls7e_ard_3-1-0_097080_2019-12-09_final
2019-12-09 09:45:38	ga_ls7e_ard_3-1-0_097084_2019-12-09_final
2019-12-23 09:50:54	ga_ls7e_ard_3-1-0_099068_2019-12-23_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2019-12-30 09:59:54	ga_ls7e_ard_3-1-0_100076_2019-12-30_final
2020-01-02 08:54:58	ga_ls7e_ard_3-1-0_089084_2020-01-01_final
2020-01-20 10:15:23	ga_ls7e_ard_3-1-0_103071_2020-01-20_final
2020-01-21 10:58:36	ga_ls7e_ard_3-1-0_110071_2020-01-21_final
2020-01-25 08:59:12	ga_ls7e_ard_3-1-0_090082_2020-01-24_final
2020-01-25 09:01:35	ga_ls7e_ard_3-1-0_090088_2020-01-24_final
2020-01-25 10:33:17	ga_ls7e_ard_3-1-0_106070_2020-01-25_final
2020-02-03 08:51:22	ga_ls7e_ard_3-1-0_089079_2020-02-02_final
2020-02-06 09:20:07	ga_ls7e_ard_3-1-0_094074_2020-02-05_final
2020-02-06 10:57:48	ga_ls7e_ard_3-1-0_110071_2020-02-06_final
2020-02-09 09:50:04	ga_ls7e_ard_3-1-0_099072_2020-02-09_final
2020-02-15 10:56:20	ga_ls7e_ard_3-1-0_109084_2020-02-15_final
2020-02-18 09:46:12	ga_ls7e_ard_3-1-0_098079_2020-02-18_final
2020-02-18 11:25:05	ga_ls7e_ard_3-1-0_114079_2020-02-18_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-03-05 11:22:38	ga_ls7e_ard_3-1-0_114075_2020-03-05_final
2020-03-14 09:35:06	ga_ls7e_ard_3-1-0_097070_2020-03-14_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-03-20 10:41:45	ga_ls7e_ard_3-1-0_107083_2020-03-20_final
2020-03-21 09:46:52	ga_ls7e_ard_3-1-0_098085_2020-03-21_final
2020-03-30 09:39:47	ga_ls7e_ard_3-1-0_097084_2020-03-30_final
2020-04-10 09:21:01	ga_ls7e_ard_3-1-0_094085_2020-04-09_final
2020-04-10 10:53:55	ga_ls7e_ard_3-1-0_110070_2020-04-10_final
2020-04-14 08:57:40	ga_ls7e_ard_3-1-0_090089_2020-04-13_final
2020-04-22 09:37:52	ga_ls7e_ard_3-1-0_098067_2020-04-22_final
2020-04-22 09:38:39	ga_ls7e_ard_3-1-0_098069_2020-04-22_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-19 09:38:34	ga_ls7e_ard_3-2-1_106083_2022-03-19_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_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