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
2000-05-08 11:44:34	ga_ls7e_ard_3-0-0_115078_2000-05-08_final
2001-05-15 09:36:40	ga_ls7e_ard_3-1-0_095073_2001-05-15_final
2002-09-22 08:55:18	ga_ls7e_ard_3-0-0_088083_2002-09-21_final
2003-03-18 09:35:07	ga_ls7e_ard_3-0-0_095072_2003-03-18_final
2003-07-20 11:39:45	ga_ls7e_ard_3-0-0_115075_2003-07-20_final
2004-05-12 11:36:13	ga_ls7e_ard_3-0-0_114080_2004-05-12_final
2004-08-07 11:41:12	ga_ls7e_ard_3-0-0_115078_2004-08-07_final
2004-08-27 09:35:10	ga_ls7e_ard_3-0-0_095072_2004-08-27_final
2004-11-27 11:41:53	ga_ls7e_ard_3-0-0_115079_2004-11-27_final
2005-02-19 09:41:13	ga_ls7e_ard_3-0-0_095085_2005-02-19_final
2005-02-24 11:34:17	ga_ls7e_ard_3-0-0_114074_2005-02-24_final
2005-04-08 09:41:13	ga_ls7e_ard_3-0-0_095085_2005-04-08_final
2005-04-08 09:41:36	ga_ls7e_ard_3-0-0_095086_2005-04-08_final
2005-04-20 11:40:44	ga_ls7e_ard_3-0-0_115075_2005-04-20_final
2005-09-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2005-09-27_final
2006-02-11 11:34:40	ga_ls7e_ard_3-0-0_114074_2006-02-11_final
2006-02-27 11:37:07	ga_ls7e_ard_3-0-0_114080_2006-02-27_final
2006-04-11 09:42:25	ga_ls7e_ard_3-0-0_095087_2006-04-11_final
2006-08-01 09:41:17	ga_ls7e_ard_3-0-0_095085_2006-08-01_final
2007-03-09 11:42:07	ga_ls7e_ard_3-0-0_115076_2007-03-09_final
2007-03-09 11:43:19	ga_ls7e_ard_3-0-0_115079_2007-03-09_final
2007-10-23 09:39:28	ga_ls7e_ard_3-0-0_095080_2007-10-23_final
2007-12-26 09:42:44	ga_ls7e_ard_3-0-0_095087_2007-12-26_final
2008-01-16 11:34:59	ga_ls7e_ard_3-0-0_114074_2008-01-16_final
2008-04-28 11:41:17	ga_ls7e_ard_3-0-0_115075_2008-04-28_final
2008-10-05 11:40:42	ga_ls7e_ard_3-1-0_115077_2008-10-05_final
2009-03-30 11:43:03	ga_ls7e_ard_3-0-0_115079_2009-03-30_final
2009-05-01 11:41:13	ga_ls7e_ard_3-0-0_115074_2009-05-01_final
2009-06-11 11:36:15	ga_ls7e_ard_3-0-0_114077_2009-06-11_final
2009-08-23 11:32:37	ga_ls7e_ard_3-0-0_113084_2009-08-23_final
2009-09-06 11:41:22	ga_ls7e_ard_3-0-0_115075_2009-09-06_final
2009-12-11 11:41:43	ga_ls7e_ard_3-0-0_115074_2009-12-11_final
2010-07-27 09:42:37	ga_ls7e_ard_3-0-0_095082_2010-07-27_final
2011-03-04 11:45:56	ga_ls7e_ard_3-0-0_115078_2011-03-04_final
2011-04-09 09:45:13	ga_ls7e_ard_3-0-0_095085_2011-04-09_final
2013-02-05 11:47:01	ga_ls7e_ard_3-0-0_115074_2013-02-05_final
2013-08-19 09:02:04	ga_ls7e_ard_3-0-0_088081_2013-08-18_final
2013-08-20 09:46:32	ga_ls7e_ard_3-0-0_095084_2013-08-20_final
2013-10-06 09:03:01	ga_ls7e_ard_3-0-0_088082_2013-10-05_final
2013-12-10 09:47:09	ga_ls7e_ard_3-0-0_095083_2013-12-10_final
2014-04-29 11:48:49	ga_ls7e_ard_3-0-0_115076_2014-04-29_final
2014-05-31 11:49:23	ga_ls7e_ard_3-1-0_115077_2014-05-31_final
2014-09-04 11:49:15	ga_ls7e_ard_3-0-0_115076_2014-09-04_final
2015-03-03 09:45:41	ga_ls7e_ard_3-1-0_095073_2015-03-03_final
2015-06-28 11:47:03	ga_ls7e_ard_3-0-0_114081_2015-06-28_final
2015-07-23 11:42:11	ga_ls7e_ard_3-0-0_113084_2015-07-23_final
2016-04-27 11:47:22	ga_ls7e_ard_3-0-0_114075_2016-04-27_final
2016-08-01 11:50:02	ga_ls7e_ard_3-0-0_114081_2016-08-01_final
2017-04-21 11:53:59	ga_ls7e_ard_3-0-0_115076_2017-04-21_final
2017-05-11 09:48:53	ga_ls7e_ard_3-0-0_095072_2017-05-11_final
2017-05-16 11:49:07	ga_ls7e_ard_3-0-0_114079_2017-05-16_final
2017-08-11 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-11_final
2017-08-20 11:47:14	ga_ls7e_ard_3-0-0_114074_2017-08-20_final
2017-09-16 09:49:23	ga_ls7e_ard_3-1-0_095073_2017-09-16_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-12-22 11:37:34	ga_ls7e_ard_3-0-0_113083_2018-12-22_final
2018-12-29 11:42:20	ga_ls7e_ard_3-0-0_114080_2018-12-29_final
2019-03-30 09:42:51	ga_ls7e_ard_3-0-0_095082_2019-03-30_final
2020-01-17 11:25:07	ga_ls7e_ard_3-1-0_114075_2020-01-17_final
2020-01-17 11:27:31	ga_ls7e_ard_3-1-0_114081_2020-01-17_final
2020-04-29 11:26:06	ga_ls7e_ard_3-1-0_115076_2020-04-29_final
2020-08-23 09:18:37	ga_ls7e_ard_3-1-0_095084_2020-08-22_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2021-02-08 10:36:04	ga_ls7e_ard_3-2-0_110075_2021-02-08_final
2021-02-17 10:27:13	ga_ls7e_ard_3-2-0_109070_2021-02-17_final
2021-02-21 08:28:30	ga_ls7e_ard_3-2-0_089083_2021-02-20_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-12 10:34:00	ga_ls7e_ard_3-2-0_110076_2021-03-12_final
2021-03-17 09:14:04	ga_ls7e_ard_3-2-0_097078_2021-03-16_final
2021-03-20 09:43:32	ga_ls7e_ard_3-2-0_102075_2021-03-20_final
2021-03-21 08:51:01	ga_ls7e_ard_3-2-0_093083_2021-03-20_final
2021-05-07 09:38:44	ga_ls7e_ard_3-2-0_102073_2021-05-07_final
2021-05-30 09:45:45	ga_ls7e_ard_3-2-0_103080_2021-05-30_final
2021-05-31 10:27:20	ga_ls7e_ard_3-2-0_110076_2021-05-31_final
2021-06-03 09:21:30	ga_ls7e_ard_3-2-0_099082_2021-06-02_final
2021-06-16 10:24:50	ga_ls7e_ard_3-2-0_110073_2021-06-16_final
2021-07-05 09:18:28	ga_ls7e_ard_3-2-0_099081_2021-07-04_final
2021-07-15 09:49:30	ga_ls7e_ard_3-2-0_105068_2021-07-15_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-05 09:23:50	ga_ls7e_ard_3-2-0_101077_2021-09-04_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-12 09:26:13	ga_ls7e_ard_3-2-0_102069_2021-09-11_final
2021-10-10 09:50:26	ga_ls7e_ard_3-2-0_106074_2021-10-10_final
2021-10-15 08:30:03	ga_ls7e_ard_3-2-0_093075_2021-10-14_final
2021-10-26 09:49:00	ga_ls7e_ard_3-2-0_106074_2021-10-26_final
2021-12-13 08:08:45	ga_ls7e_ard_3-2-1_090082_2021-12-12_final
2021-12-18 08:24:48	ga_ls7e_ard_3-2-1_093077_2021-12-17_final
2021-12-28 09:01:42	ga_ls7e_ard_3-2-1_099079_2021-12-27_final
2022-01-03 08:23:36	ga_ls7e_ard_3-2-1_093078_2022-01-02_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-02-03 09:17:50	ga_ls7e_ard_3-2-1_102082_2022-02-02_final
2022-02-16 10:24:51	ga_ls7e_ard_3-2-1_113083_2022-02-16_final
2022-02-19 09:10:37	ga_ls7e_ard_3-2-1_102068_2022-02-18_final
2022-02-21 08:59:40	ga_ls7e_ard_3-2-1_100072_2022-02-20_final
2022-02-24 09:33:52	ga_ls7e_ard_3-2-1_105081_2022-02-24_final
2022-02-27 08:22:25	ga_ls7e_ard_3-2-1_094073_2022-02-26_final
2022-02-27 10:01:41	ga_ls7e_ard_3-2-1_110074_2022-02-27_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_final
2022-03-27 10:26:28	ga_ls7e_ard_3-2-1_114081_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