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
2000-09-22 11:36:41	ga_ls7e_ard_3-0-0_114078_2000-09-22_final
2001-01-07 09:37:14	ga_ls7e_ard_3-1-0_095073_2001-01-07_final
2002-02-16 11:33:30	ga_ls7e_ard_3-0-0_114074_2002-02-16_final
2002-06-03 09:39:24	ga_ls7e_ard_3-0-0_095083_2002-06-03_final
2002-12-08 11:39:03	ga_ls7e_ard_3-0-0_115074_2002-12-08_final
2003-05-05 09:39:33	ga_ls7e_ard_3-0-0_095083_2003-05-05_final
2003-08-09 09:39:59	ga_ls7e_ard_3-0-0_095085_2003-08-09_final
2003-10-12 09:39:41	ga_ls7e_ard_3-0-0_095085_2003-10-12_final
2004-02-17 09:37:07	ga_ls7e_ard_3-0-0_095076_2004-02-17_final
2004-08-27 09:36:46	ga_ls7e_ard_3-0-0_095076_2004-08-27_final
2005-04-08 09:40:25	ga_ls7e_ard_3-0-0_095083_2005-04-08_final
2005-04-13 11:36:36	ga_ls7e_ard_3-0-0_114080_2005-04-13_final
2005-08-14 09:35:44	ga_ls7e_ard_3-0-0_095072_2005-08-14_final
2005-12-09 11:31:27	ga_ls7e_ard_3-0-0_114067_2005-12-09_final
2006-02-06 09:38:01	ga_ls7e_ard_3-0-0_095076_2006-02-06_final
2006-12-23 09:38:12	ga_ls7e_ard_3-0-0_095076_2006-12-23_final
2007-08-09 11:35:54	ga_ls7e_ard_3-0-0_114077_2007-08-09_final
2007-11-29 11:36:03	ga_ls7e_ard_3-0-0_114077_2007-11-29_final
2008-01-25 11:32:47	ga_ls7e_ard_3-0-0_113084_2008-01-25_final
2008-06-03 09:40:39	ga_ls7e_ard_3-0-0_095083_2008-06-03_final
2008-08-06 09:40:25	ga_ls7e_ard_3-0-0_095084_2008-08-06_final
2008-09-23 09:36:02	ga_ls7e_ard_3-0-0_095074_2008-09-23_final
2009-05-17 11:43:14	ga_ls7e_ard_3-0-0_115079_2009-05-17_final
2009-11-13 09:37:47	ga_ls7e_ard_3-0-0_095074_2009-11-13_final
2010-04-06 09:40:36	ga_ls7e_ard_3-0-0_095077_2010-04-06_final
2010-10-31 09:40:55	ga_ls7e_ard_3-0-0_095077_2010-10-31_final
2010-12-02 09:42:54	ga_ls7e_ard_3-0-0_095081_2010-12-02_final
2011-01-31 11:44:12	ga_ls7e_ard_3-0-0_115074_2011-01-31_final
2011-06-01 11:35:26	ga_ls7e_ard_3-0-0_114067_2011-06-01_final
2011-06-01 11:38:38	ga_ls7e_ard_3-0-0_114075_2011-06-01_final
2011-07-14 09:45:07	ga_ls7e_ard_3-0-0_095085_2011-07-14_final
2011-10-02 09:44:03	ga_ls7e_ard_3-0-0_095083_2011-10-02_final
2011-10-14 11:46:03	ga_ls7e_ard_3-0-0_115079_2011-10-14_final
2012-03-22 11:45:44	ga_ls7e_ard_3-0-0_115076_2012-03-22_final
2012-04-16 11:39:53	ga_ls7e_ard_3-0-0_114077_2012-04-16_final
2012-05-02 11:39:30	ga_ls7e_ard_3-0-0_114075_2012-05-02_final
2012-06-19 11:39:28	ga_ls7e_ard_3-0-0_114075_2012-06-19_final
2013-03-25 11:48:51	ga_ls7e_ard_3-0-0_115079_2013-03-25_final
2013-05-05 11:37:44	ga_ls7e_ard_3-0-0_114067_2013-05-05_final
2013-05-16 09:42:40	ga_ls7e_ard_3-1-0_095073_2013-05-16_final
2013-06-15 11:38:06	ga_ls7e_ard_3-0-0_113084_2013-06-15_final
2013-08-09 11:40:13	ga_ls7e_ard_3-0-0_114075_2013-08-09_final
2013-10-12 11:41:48	ga_ls7e_ard_3-0-0_114077_2013-10-12_final
2013-11-13 11:42:00	ga_ls7e_ard_3-0-0_114077_2013-11-13_final
2013-11-29 11:41:43	ga_ls7e_ard_3-0-0_114076_2013-11-29_final
2013-12-15 11:42:57	ga_ls7e_ard_3-0-0_114079_2013-12-15_final
2014-03-12 11:48:49	ga_ls7e_ard_3-0-0_115077_2014-03-12_final
2016-03-26 11:47:58	ga_ls7e_ard_3-0-0_114077_2016-03-26_final
2016-08-17 11:47:15	ga_ls7e_ard_3-0-0_114074_2016-08-17_final
2016-10-31 09:52:16	ga_ls7e_ard_3-0-0_095080_2016-10-31_final
2016-12-18 09:54:01	ga_ls7e_ard_3-0-0_095085_2016-12-18_final
2017-01-01 11:44:44	ga_ls7e_ard_3-0-0_113084_2017-01-01_final
2017-03-08 09:54:07	ga_ls7e_ard_3-0-0_095086_2017-03-08_final
2017-03-20 11:54:12	ga_ls7e_ard_3-1-0_115077_2017-03-20_final
2017-08-20 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-08-20_final
2017-10-14 11:54:14	ga_ls7e_ard_3-0-0_115076_2017-10-14_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-08-23 11:44:38	ga_ls7e_ard_3-0-0_114078_2018-08-23_final
2018-10-05 09:49:03	ga_ls7e_ard_3-0-0_095085_2018-10-05_final
2019-01-09 09:46:34	ga_ls7e_ard_3-0-0_095085_2019-01-09_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2020-02-25 11:29:42	ga_ls7e_ard_3-1-0_115076_2020-02-25_final
2020-06-04 09:23:07	ga_ls7e_ard_3-1-0_095083_2020-06-03_final
2020-09-24 09:16:31	ga_ls7e_ard_3-1-0_095084_2020-09-23_final
2020-12-13 09:09:28	ga_ls7e_ard_3-1-0_095080_2020-12-12_final
2021-02-12 10:12:38	ga_ls7e_ard_3-2-0_106079_2021-02-12_final
2021-02-23 09:51:16	ga_ls7e_ard_3-2-0_103074_2021-02-23_final
2021-03-09 10:05:20	ga_ls7e_ard_3-2-0_105081_2021-03-09_final
2021-03-26 09:05:34	ga_ls7e_ard_3-2-0_096074_2021-03-25_final
2021-03-27 09:49:32	ga_ls7e_ard_3-2-0_103076_2021-03-27_final
2021-03-28 10:34:43	ga_ls7e_ard_3-2-0_110081_2021-03-28_final
2021-04-02 10:51:15	ga_ls7e_ard_3-2-0_113077_2021-04-02_final
2021-04-06 10:24:12	ga_ls7e_ard_3-2-0_109072_2021-04-06_final
2021-05-14 09:44:44	ga_ls7e_ard_3-2-0_103074_2021-05-14_final
2021-06-16 10:27:38	ga_ls7e_ard_3-2-0_110080_2021-06-16_final
2021-06-25 10:21:30	ga_ls7e_ard_3-2-0_109082_2021-06-25_final
2021-07-04 08:36:53	ga_ls7e_ard_3-2-0_092085_2021-07-03_final
2021-07-11 10:18:33	ga_ls7e_ard_3-2-0_109078_2021-07-11_final
2021-07-11 10:20:09	ga_ls7e_ard_3-2-0_109082_2021-07-11_final
2021-07-20 08:33:08	ga_ls7e_ard_3-2-0_092079_2021-07-19_final
2021-08-19 10:20:31	ga_ls7e_ard_3-2-0_110076_2021-08-19_final
2021-08-30 10:02:38	ga_ls7e_ard_3-2-0_107080_2021-08-30_final
2021-09-12 09:28:36	ga_ls7e_ard_3-2-0_102075_2021-09-11_final
2021-09-17 09:45:30	ga_ls7e_ard_3-2-0_105072_2021-09-17_final
2021-09-20 08:41:15	ga_ls7e_ard_3-2-0_094082_2021-09-19_final
2021-10-06 10:18:18	ga_ls7e_ard_3-2-0_110081_2021-10-06_final
2021-10-10 08:13:09	ga_ls7e_ard_3-2-0_090078_2021-10-09_final
2021-11-02 08:22:02	ga_ls7e_ard_3-2-0_091090_2021-11-01_final
2021-11-07 10:14:11	ga_ls7e_ard_3-2-0_110078_2021-11-07_final
2021-12-21 10:33:06	ga_ls7e_ard_3-2-1_114074_2021-12-21_final
2021-12-30 08:49:32	ga_ls7e_ard_3-2-1_097080_2021-12-29_final
2022-01-06 10:32:17	ga_ls7e_ard_3-2-1_114076_2022-01-06_final
2022-01-08 08:40:04	ga_ls7e_ard_3-2-1_096074_2022-01-07_final
2022-01-21 08:13:56	ga_ls7e_ard_3-2-1_091089_2022-01-20_final
2022-01-23 09:35:52	ga_ls7e_ard_3-2-1_105078_2022-01-23_final
2022-01-30 09:42:57	ga_ls7e_ard_3-2-1_106082_2022-01-30_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-11 10:02:03	ga_ls7e_ard_3-2-1_110071_2022-02-11_final
2022-02-22 09:44:49	ga_ls7e_ard_3-2-1_107077_2022-02-22_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