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
1999-08-14 09:40:28	ga_ls7e_ard_3-0-0_095075_1999-08-14_final
2000-03-09 09:44:33	ga_ls7e_ard_3-0-0_095086_2000-03-09_final
2000-03-12 11:50:45	ga_ls7e_ard_3-1-0_116077_2000-03-12_final
2000-10-03 09:38:02	ga_ls7e_ard_3-0-0_095075_2000-10-03_final
2001-03-08 11:42:20	ga_ls7e_ard_3-1-0_115077_2001-03-08_final
2002-01-10 09:40:45	ga_ls7e_ard_3-0-0_095086_2002-01-10_final
2002-02-11 09:40:30	ga_ls7e_ard_3-0-0_095085_2002-02-11_final
2002-05-30 11:40:37	ga_ls7e_ard_3-0-0_115077_2002-05-30_final
2003-09-26 09:40:35	ga_ls7e_ard_3-0-0_095087_2003-09-26_final
2003-10-17 11:34:26	ga_ls7e_ard_3-0-0_114078_2003-10-17_final
2004-04-21 09:39:06	ga_ls7e_ard_3-0-0_095081_2004-04-21_final
2005-04-08 09:41:13	ga_ls7e_ard_3-0-0_095085_2005-04-08_final
2005-05-10 09:40:24	ga_ls7e_ard_3-0-0_095083_2005-05-10_final
2005-07-13 09:36:38	ga_ls7e_ard_3-0-0_095074_2005-07-13_final
2006-01-01 11:41:21	ga_ls7e_ard_3-0-0_115076_2006-01-01_final
2006-03-10 09:40:30	ga_ls7e_ard_3-0-0_095082_2006-03-10_final
2006-03-22 11:41:42	ga_ls7e_ard_3-0-0_115076_2006-03-22_final
2006-07-28 11:41:42	ga_ls7e_ard_3-1-0_115077_2006-07-28_final
2007-02-09 09:37:36	ga_ls7e_ard_3-0-0_095074_2007-02-09_final
2007-03-18 11:37:09	ga_ls7e_ard_3-0-0_114079_2007-03-18_final
2007-09-05 09:41:52	ga_ls7e_ard_3-0-0_095086_2007-09-05_final
2008-02-08 11:41:55	ga_ls7e_ard_3-0-0_115076_2008-02-08_final
2008-02-28 09:42:12	ga_ls7e_ard_3-0-0_095086_2008-02-28_final
2009-01-13 09:34:06	ga_ls7e_ard_3-0-0_095067_2009-01-13_final
2009-01-13 09:39:41	ga_ls7e_ard_3-0-0_095081_2009-01-13_final
2009-02-14 09:40:41	ga_ls7e_ard_3-0-0_095083_2009-02-14_final
2009-08-21 11:41:47	ga_ls7e_ard_3-0-0_115076_2009-08-21_final
2009-09-10 09:36:34	ga_ls7e_ard_3-0-0_095072_2009-09-10_final
2011-01-19 09:44:07	ga_ls7e_ard_3-0-0_095083_2011-01-19_final
2011-06-28 09:45:31	ga_ls7e_ard_3-0-0_095086_2011-06-28_final
2011-08-27 11:44:59	ga_ls7e_ard_3-0-0_115076_2011-08-27_final
2011-11-15 11:44:46	ga_ls7e_ard_3-0-0_115075_2011-11-15_final
2012-01-22 09:41:36	ga_ls7e_ard_3-0-0_095075_2012-01-22_final
2013-07-19 09:46:33	ga_ls7e_ard_3-0-0_095084_2013-07-19_final
2013-11-08 09:40:34	ga_ls7e_ard_3-0-0_095067_2013-11-08_final
2014-09-13 11:43:51	ga_ls7e_ard_3-0-0_114078_2014-09-13_final
2014-11-27 09:50:18	ga_ls7e_ard_3-0-0_095086_2014-11-27_final
2015-02-27 11:50:27	ga_ls7e_ard_3-0-0_115076_2015-02-27_final
2015-10-29 09:50:49	ga_ls7e_ard_3-0-0_095082_2015-10-29_final
2016-01-06 11:48:31	ga_ls7e_ard_3-0-0_114080_2016-01-06_final
2016-05-13 11:48:37	ga_ls7e_ard_3-0-0_114078_2016-05-13_final
2016-10-31 09:53:52	ga_ls7e_ard_3-0-0_095084_2016-10-31_final
2017-05-11 09:49:17	ga_ls7e_ard_3-1-0_095073_2017-05-11_final
2017-07-14 09:52:15	ga_ls7e_ard_3-0-0_095080_2017-07-14_final
2017-11-19 09:52:10	ga_ls7e_ard_3-0-0_095080_2017-11-19_final
2017-11-19 09:54:10	ga_ls7e_ard_3-0-0_095085_2017-11-19_final
2019-10-04 11:37:04	ga_ls7e_ard_3-1-0_115077_2019-10-04_final
2019-10-08 09:34:30	ga_ls7e_ard_3-1-0_095080_2019-10-08_final
2019-11-25 09:27:10	ga_ls7e_ard_3-1-0_095067_2019-11-24_final
2020-10-10 09:13:54	ga_ls7e_ard_3-1-0_095080_2020-10-09_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2020-12-13 09:07:04	ga_ls7e_ard_3-1-0_095074_2020-12-12_final
2021-01-21 09:14:51	ga_ls7e_ard_3-2-0_096085_2021-01-20_final
2021-02-13 09:18:32	ga_ls7e_ard_3-2-0_097083_2021-02-12_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-12 08:58:19	ga_ls7e_ard_3-2-0_094084_2021-03-11_final
2021-03-23 10:13:47	ga_ls7e_ard_3-2-0_107074_2021-03-23_final
2021-03-24 09:15:42	ga_ls7e_ard_3-2-0_098068_2021-03-23_final
2021-03-28 10:33:07	ga_ls7e_ard_3-2-0_110077_2021-03-28_final
2021-03-30 10:18:12	ga_ls7e_ard_3-2-0_108071_2021-03-30_final
2021-03-31 11:02:59	ga_ls7e_ard_3-2-0_115075_2021-03-31_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-04-20 09:01:42	ga_ls7e_ard_3-2-0_095085_2021-04-19_final
2021-05-01 08:39:02	ga_ls7e_ard_3-2-0_092077_2021-04-30_final
2021-05-21 09:53:31	ga_ls7e_ard_3-2-0_104082_2021-05-21_final
2021-06-16 08:49:33	ga_ls7e_ard_3-2-0_094082_2021-06-15_final
2021-06-21 09:02:53	ga_ls7e_ard_3-2-0_097070_2021-06-20_final
2021-06-28 09:08:29	ga_ls7e_ard_3-2-0_098070_2021-06-27_final
2021-07-02 08:48:13	ga_ls7e_ard_3-2-0_094082_2021-07-01_final
2021-07-07 09:05:32	ga_ls7e_ard_3-2-0_097080_2021-07-06_final
2021-07-09 10:28:42	ga_ls7e_ard_3-2-0_111072_2021-07-09_final
2021-07-09 10:29:30	ga_ls7e_ard_3-2-0_111074_2021-07-09_final
2021-07-11 10:15:46	ga_ls7e_ard_3-2-0_109071_2021-07-11_final
2021-07-14 10:48:48	ga_ls7e_ard_3-2-0_114077_2021-07-14_final
2021-07-16 08:58:35	ga_ls7e_ard_3-2-0_096080_2021-07-15_final
2021-07-27 10:15:11	ga_ls7e_ard_3-2-0_109073_2021-07-27_final
2021-08-14 08:23:33	ga_ls7e_ard_3-2-0_091076_2021-08-13_final
2021-08-15 10:47:11	ga_ls7e_ard_3-2-0_114080_2021-08-15_final
2021-08-28 08:33:54	ga_ls7e_ard_3-2-0_093074_2021-08-27_final
2021-08-28 10:11:11	ga_ls7e_ard_3-2-0_109070_2021-08-28_final
2021-09-14 09:16:04	ga_ls7e_ard_3-2-0_100075_2021-09-13_final
2021-10-12 09:36:18	ga_ls7e_ard_3-2-0_104070_2021-10-12_final
2021-10-20 08:46:33	ga_ls7e_ard_3-2-0_096071_2021-10-19_final
2021-10-21 09:28:31	ga_ls7e_ard_3-2-0_103068_2021-10-20_final
2021-10-22 10:16:52	ga_ls7e_ard_3-2-0_110081_2021-10-22_final
2021-10-27 08:54:53	ga_ls7e_ard_3-2-0_097078_2021-10-26_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-12-07 10:24:52	ga_ls7e_ard_3-2-1_112081_2021-12-07_final
2021-12-11 08:20:54	ga_ls7e_ard_3-2-1_092081_2021-12-10_final
2021-12-14 10:29:59	ga_ls7e_ard_3-2-1_113080_2021-12-14_final
2022-01-03 10:01:41	ga_ls7e_ard_3-2-1_109076_2022-01-03_final
2022-01-12 08:17:22	ga_ls7e_ard_3-2-1_092080_2022-01-11_final
2022-01-15 08:47:59	ga_ls7e_ard_3-2-1_097080_2022-01-14_final
2022-01-21 09:49:13	ga_ls7e_ard_3-2-1_107080_2022-01-21_final
2022-02-15 09:37:19	ga_ls7e_ard_3-2-1_106072_2022-02-15_final
2022-02-20 08:21:41	ga_ls7e_ard_3-2-1_093085_2022-02-19_final
2022-03-09 09:00:54	ga_ls7e_ard_3-2-1_100079_2022-03-08_final
2022-03-11 08:45:57	ga_ls7e_ard_3-2-1_098073_2022-03-10_final
2022-03-17 08:11:27	ga_ls7e_ard_3-2-1_092081_2022-03-16_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_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