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
1999-12-02 11:33:38	ga_ls7e_ard_3-0-0_113080_1999-12-02_final
1999-12-25 11:39:28	ga_ls7e_ard_3-0-0_114079_1999-12-25_final
2000-06-25 11:43:20	ga_ls7e_ard_3-0-0_115076_2000-06-25_final
2000-09-24 11:26:18	ga_ls7e_ard_3-0-0_112083_2000-09-24_final
2000-11-20 09:36:43	ga_ls7e_ard_3-0-0_095072_2000-11-20_final
2000-12-02 11:42:21	ga_ls7e_ard_3-0-0_115077_2000-12-02_final
2001-07-17 08:56:28	ga_ls7e_ard_3-0-0_088082_2001-07-16_final
2002-04-16 09:38:46	ga_ls7e_ard_3-0-0_095081_2002-04-16_final
2002-11-24 11:26:37	ga_ls7e_ard_3-0-0_113074_2002-11-24_final
2003-01-11 11:30:48	ga_ls7e_ard_3-0-0_113084_2003-01-11_final
2004-04-21 09:39:30	ga_ls7e_ard_3-0-0_095082_2004-04-21_final
2004-05-05 11:28:49	ga_ls7e_ard_3-0-0_113077_2004-05-05_final
2004-11-29 11:29:08	ga_ls7e_ard_3-0-0_113078_2004-11-29_final
2004-12-22 11:33:54	ga_ls7e_ard_3-0-0_114074_2004-12-22_final
2005-01-18 09:41:00	ga_ls7e_ard_3-0-0_095085_2005-01-18_final
2005-03-23 09:40:05	ga_ls7e_ard_3-0-0_095082_2005-03-23_final
2005-07-29 09:41:00	ga_ls7e_ard_3-0-0_095085_2005-07-29_final
2005-10-06 11:35:14	ga_ls7e_ard_3-0-0_114078_2005-10-06_final
2005-10-31 11:31:46	ga_ls7e_ard_3-0-0_113084_2005-10-31_final
2005-11-23 11:36:34	ga_ls7e_ard_3-0-0_114080_2005-11-23_final
2006-02-02 11:42:48	ga_ls7e_ard_3-0-0_115079_2006-02-02_final
2006-03-10 09:38:54	ga_ls7e_ard_3-0-0_095078_2006-03-10_final
2006-08-29 11:40:50	ga_ls7e_ard_3-0-0_115075_2006-08-29_final
2006-10-02 11:29:03	ga_ls7e_ard_3-0-0_113077_2006-10-02_final
2007-01-24 09:40:40	ga_ls7e_ard_3-0-0_095082_2007-01-24_final
2007-04-28 11:32:54	ga_ls7e_ard_3-0-0_113084_2007-04-28_final
2007-07-24 11:36:47	ga_ls7e_ard_3-0-0_114079_2007-07-24_final
2007-09-21 09:36:35	ga_ls7e_ard_3-1-0_095073_2007-09-21_final
2007-10-21 11:28:18	ga_ls7e_ard_3-0-0_113074_2007-10-21_final
2007-10-28 11:34:34	ga_ls7e_ard_3-0-0_114074_2007-10-28_final
2007-11-29 11:36:27	ga_ls7e_ard_3-0-0_114078_2007-11-29_final
2007-12-08 11:31:07	ga_ls7e_ard_3-0-0_113080_2007-12-08_final
2008-10-07 11:31:07	ga_ls7e_ard_3-0-0_113084_2008-10-07_final
2009-01-20 11:25:11	ga_ls7e_ard_3-0-0_112082_2009-01-20_final
2009-02-26 11:40:49	ga_ls7e_ard_3-0-0_115074_2009-02-26_final
2009-12-20 11:35:42	ga_ls7e_ard_3-0-0_114074_2009-12-20_final
2010-01-16 09:41:07	ga_ls7e_ard_3-0-0_095080_2010-01-16_final
2010-02-15 11:33:09	ga_ls7e_ard_3-0-0_113081_2010-02-15_final
2011-02-18 11:34:18	ga_ls7e_ard_3-0-0_113080_2011-02-18_final
2011-09-16 09:45:40	ga_ls7e_ard_3-0-0_095087_2011-09-16_final
2011-11-24 11:35:31	ga_ls7e_ard_3-0-0_114067_2011-11-24_final
2012-02-23 09:42:08	ga_ls7e_ard_3-0-0_095076_2012-02-23_final
2012-06-28 11:36:09	ga_ls7e_ard_3-0-0_113082_2012-06-28_final
2012-07-16 09:42:24	ga_ls7e_ard_3-0-0_095075_2012-07-16_final
2012-07-30 11:36:58	ga_ls7e_ard_3-0-0_113083_2012-07-30_final
2012-10-16 11:46:57	ga_ls7e_ard_3-0-0_115075_2012-10-16_final
2012-11-19 11:37:37	ga_ls7e_ard_3-0-0_113082_2012-11-19_final
2012-11-26 11:43:01	ga_ls7e_ard_3-0-0_114080_2012-11-26_final
2013-03-09 11:48:33	ga_ls7e_ard_3-0-0_115078_2013-03-09_final
2013-06-01 09:40:09	ga_ls7e_ard_3-0-0_095067_2013-06-01_final
2013-11-13 11:41:12	ga_ls7e_ard_3-0-0_114075_2013-11-13_final
2014-03-05 11:38:37	ga_ls7e_ard_3-0-0_114067_2014-03-05_final
2014-07-20 11:38:23	ga_ls7e_ard_3-0-0_113080_2014-07-20_final
2015-03-08 11:44:19	ga_ls7e_ard_3-0-0_114076_2015-03-08_final
2015-04-20 09:50:49	ga_ls7e_ard_3-0-0_095085_2015-04-20_final
2015-11-28 11:40:32	ga_ls7e_ard_3-0-0_113077_2015-11-28_final
2016-01-01 09:53:00	ga_ls7e_ard_3-0-0_095085_2016-01-01_final
2016-12-18 09:54:25	ga_ls7e_ard_3-0-0_095086_2016-12-18_final
2017-02-02 11:42:50	ga_ls7e_ard_3-0-0_113080_2017-02-02_final
2017-09-21 11:47:12	ga_ls7e_ard_3-0-0_114074_2017-09-21_final
2017-10-14 11:53:50	ga_ls7e_ard_3-0-0_115075_2017-10-14_final
2017-11-24 11:48:22	ga_ls7e_ard_3-0-0_114077_2017-11-24_final
2017-12-10 11:47:03	ga_ls7e_ard_3-0-0_114074_2017-12-10_final
2018-10-03 11:33:09	ga_ls7e_ard_3-0-0_113067_2018-10-03_final
2018-10-17 11:49:09	ga_ls7e_ard_3-0-0_115077_2018-10-17_final
2019-01-05 11:46:19	ga_ls7e_ard_3-0-0_115075_2019-01-05_final
2019-06-25 11:25:06	ga_ls7e_ard_3-0-0_112083_2019-06-25_final
2019-09-04 11:27:12	ga_ls7e_ard_3-1-0_113080_2019-09-04_final
2019-09-06 09:33:05	ga_ls7e_ard_3-1-0_095073_2019-09-06_final
2019-10-08 09:31:19	ga_ls7e_ard_3-1-0_095072_2019-10-08_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2019-12-27 09:31:09	ga_ls7e_ard_3-1-0_095081_2019-12-27_final
2020-04-08 11:11:11	ga_ls7e_ard_3-1-0_112082_2020-04-08_final
2020-10-06 11:15:22	ga_ls7e_ard_3-1-0_115074_2020-10-06_final
2021-01-29 10:00:07	ga_ls7e_ard_3-2-0_104076_2021-01-29_final
2021-02-10 10:26:45	ga_ls7e_ard_3-2-0_108083_2021-02-10_final
2021-02-15 09:05:14	ga_ls7e_ard_3-2-0_095081_2021-02-14_final
2021-02-24 10:38:03	ga_ls7e_ard_3-2-0_110083_2021-02-24_final
2021-03-10 09:09:38	ga_ls7e_ard_3-2-0_096081_2021-03-09_final
2021-03-28 08:57:50	ga_ls7e_ard_3-2-0_094086_2021-03-27_final
2021-04-13 08:55:43	ga_ls7e_ard_3-2-0_094084_2021-04-12_final
2021-04-21 09:40:05	ga_ls7e_ard_3-2-0_102073_2021-04-21_final
2021-06-29 09:55:15	ga_ls7e_ard_3-2-0_105079_2021-06-29_final
2021-07-09 10:28:42	ga_ls7e_ard_3-2-0_111072_2021-07-09_final
2021-08-07 09:55:40	ga_ls7e_ard_3-2-0_106073_2021-08-07_final
2021-09-05 09:21:27	ga_ls7e_ard_3-2-0_101071_2021-09-04_final
2021-09-06 08:28:08	ga_ls7e_ard_3-2-0_092077_2021-09-05_final
2021-09-14 09:19:16	ga_ls7e_ard_3-2-0_100083_2021-09-13_final
2021-09-16 09:05:07	ga_ls7e_ard_3-2-0_098079_2021-09-15_final
2021-10-01 09:59:48	ga_ls7e_ard_3-2-0_107080_2021-10-01_final
2021-11-05 08:51:03	ga_ls7e_ard_3-2-0_096086_2021-11-04_final
2021-11-07 10:15:47	ga_ls7e_ard_3-2-0_110082_2021-11-07_final
2021-11-12 10:31:03	ga_ls7e_ard_3-2-1_113075_2021-11-12_final
2021-12-26 09:13:51	ga_ls7e_ard_3-2-1_101078_2021-12-25_final
2022-01-21 09:47:37	ga_ls7e_ard_3-2-1_107076_2022-01-21_final
2022-01-24 08:37:21	ga_ls7e_ard_3-2-1_096071_2022-01-23_final
2022-02-09 08:38:56	ga_ls7e_ard_3-2-1_096079_2022-02-08_final
2022-02-18 08:33:50	ga_ls7e_ard_3-2-1_095084_2022-02-17_final
2022-02-22 08:09:08	ga_ls7e_ard_3-2-1_091085_2022-02-21_final
2022-02-25 10:17:50	ga_ls7e_ard_3-2-1_112083_2022-02-25_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