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
1999-08-30 09:43:21	ga_ls7e_ard_3-0-0_095082_1999-08-30_final
2000-01-05 09:37:14	ga_ls7e_ard_3-0-0_095067_2000-01-05_final
2000-02-06 09:43:09	ga_ls7e_ard_3-0-0_095082_2000-02-06_final
2000-07-15 09:37:52	ga_ls7e_ard_3-0-0_095072_2000-07-15_final
2001-05-20 11:36:28	ga_ls7e_ard_3-0-0_114079_2001-05-20_final
2001-07-02 09:36:33	ga_ls7e_ard_3-0-0_095074_2001-07-02_final
2001-07-07 11:35:12	ga_ls7e_ard_3-0-0_114077_2001-07-07_final
2002-12-08 11:40:15	ga_ls7e_ard_3-1-0_115077_2002-12-08_final
2002-12-28 09:38:20	ga_ls7e_ard_3-0-0_095081_2002-12-28_final
2003-01-29 09:36:06	ga_ls7e_ard_3-0-0_095075_2003-01-29_final
2003-08-25 09:35:35	ga_ls7e_ard_3-0-0_095074_2003-08-25_final
2003-11-02 11:35:26	ga_ls7e_ard_3-0-0_114080_2003-11-02_final
2004-03-09 11:35:50	ga_ls7e_ard_3-0-0_114079_2004-03-09_final
2004-05-28 11:34:35	ga_ls7e_ard_3-0-0_114076_2004-05-28_final
2004-09-28 09:38:11	ga_ls7e_ard_3-0-0_095080_2004-09-28_final
2004-11-11 11:40:56	ga_ls7e_ard_3-1-0_115077_2004-11-11_final
2005-12-04 09:39:12	ga_ls7e_ard_3-0-0_095080_2005-12-04_final
2005-12-25 11:35:30	ga_ls7e_ard_3-0-0_114077_2005-12-25_final
2006-12-28 11:36:50	ga_ls7e_ard_3-0-0_114079_2006-12-28_final
2007-10-07 09:37:16	ga_ls7e_ard_3-0-0_095075_2007-10-07_final
2007-10-12 11:35:58	ga_ls7e_ard_3-0-0_114078_2007-10-12_final
2007-10-12 11:37:10	ga_ls7e_ard_3-0-0_114081_2007-10-12_final
2007-11-08 09:36:51	ga_ls7e_ard_3-1-0_095073_2007-11-08_final
2008-02-12 09:34:42	ga_ls7e_ard_3-0-0_095067_2008-02-12_final
2009-01-29 09:41:21	ga_ls7e_ard_3-0-0_095085_2009-01-29_final
2009-04-03 09:34:41	ga_ls7e_ard_3-0-0_095067_2009-04-03_final
2009-04-08 11:36:56	ga_ls7e_ard_3-0-0_114079_2009-04-08_final
2009-04-24 11:36:12	ga_ls7e_ard_3-0-0_114077_2009-04-24_final
2009-05-05 09:41:36	ga_ls7e_ard_3-0-0_095084_2009-05-05_final
2009-08-25 09:37:22	ga_ls7e_ard_3-0-0_095074_2009-08-25_final
2009-11-13 09:42:10	ga_ls7e_ard_3-0-0_095085_2009-11-13_final
2010-01-05 11:37:59	ga_ls7e_ard_3-0-0_114079_2010-01-05_final
2010-01-28 11:43:18	ga_ls7e_ard_3-0-0_115076_2010-01-28_final
2010-09-18 11:37:43	ga_ls7e_ard_3-0-0_114076_2010-09-18_final
2011-01-03 09:44:23	ga_ls7e_ard_3-0-0_095084_2011-01-03_final
2011-01-19 09:43:19	ga_ls7e_ard_3-0-0_095081_2011-01-19_final
2011-04-25 09:44:48	ga_ls7e_ard_3-0-0_095084_2011-04-25_final
2011-05-07 11:45:37	ga_ls7e_ard_3-1-0_115077_2011-05-07_final
2011-06-12 09:41:36	ga_ls7e_ard_3-0-0_095076_2011-06-12_final
2011-11-24 11:41:06	ga_ls7e_ard_3-0-0_114081_2011-11-24_final
2011-12-17 11:45:50	ga_ls7e_ard_3-1-0_115077_2011-12-17_final
2012-01-22 09:45:35	ga_ls7e_ard_3-0-0_095085_2012-01-22_final
2012-08-17 09:42:45	ga_ls7e_ard_3-0-0_095075_2012-08-17_final
2012-10-04 09:46:49	ga_ls7e_ard_3-0-0_095084_2012-10-04_final
2012-11-26 11:42:37	ga_ls7e_ard_3-0-0_114079_2012-11-26_final
2013-02-05 11:47:49	ga_ls7e_ard_3-0-0_115076_2013-02-05_final
2013-05-05 11:43:19	ga_ls7e_ard_3-0-0_114081_2013-05-05_final
2013-06-06 11:41:54	ga_ls7e_ard_3-0-0_114078_2013-06-06_final
2013-08-04 09:46:27	ga_ls7e_ard_3-0-0_095084_2013-08-04_final
2014-01-11 09:46:28	ga_ls7e_ard_3-0-0_095081_2014-01-11_final
2014-01-27 09:44:24	ga_ls7e_ard_3-0-0_095075_2014-01-27_final
2014-03-16 09:44:28	ga_ls7e_ard_3-0-0_095075_2014-03-16_final
2015-04-04 09:48:42	ga_ls7e_ard_3-0-0_095080_2015-04-04_final
2015-07-30 11:44:47	ga_ls7e_ard_3-0-0_114075_2015-07-30_final
2016-12-23 11:48:12	ga_ls7e_ard_3-0-0_114077_2016-12-23_final
2017-02-04 09:49:59	ga_ls7e_ard_3-0-0_095076_2017-02-04_final
2017-03-24 09:52:37	ga_ls7e_ard_3-0-0_095082_2017-03-24_final
2017-03-29 11:48:04	ga_ls7e_ard_3-0-0_114077_2017-03-29_final
2017-04-14 11:47:22	ga_ls7e_ard_3-0-0_114075_2017-04-14_final
2018-05-14 09:51:02	ga_ls7e_ard_3-0-0_095083_2018-05-14_final
2018-08-02 09:51:12	ga_ls7e_ard_3-0-0_095087_2018-08-02_final
2019-02-22 11:45:37	ga_ls7e_ard_3-1-0_115077_2019-02-22_final
2019-03-30 09:42:27	ga_ls7e_ard_3-0-0_095081_2019-03-30_final
2019-05-17 09:41:52	ga_ls7e_ard_3-0-0_095084_2019-05-17_final
2019-11-05 11:35:42	ga_ls7e_ard_3-1-0_115077_2019-11-05_final
2020-03-05 11:24:38	ga_ls7e_ard_3-1-0_114080_2020-03-05_final
2020-03-21 11:23:46	ga_ls7e_ard_3-1-0_114080_2020-03-21_final
2020-04-17 09:26:24	ga_ls7e_ard_3-1-0_095084_2020-04-16_final
2021-03-23 10:15:47	ga_ls7e_ard_3-2-0_107079_2021-03-23_final
2021-03-29 09:39:01	ga_ls7e_ard_3-2-0_101081_2021-03-29_final
2021-03-30 08:44:55	ga_ls7e_ard_3-2-0_092085_2021-03-29_final
2021-03-30 10:21:24	ga_ls7e_ard_3-2-0_108079_2021-03-30_final
2021-04-13 10:31:24	ga_ls7e_ard_3-2-0_110076_2021-04-13_final
2021-04-23 09:30:45	ga_ls7e_ard_3-2-0_100081_2021-04-23_final
2021-05-11 09:17:17	ga_ls7e_ard_3-2-0_098082_2021-05-10_final
2021-05-27 09:11:56	ga_ls7e_ard_3-2-0_098072_2021-05-26_final
2021-07-04 08:33:18	ga_ls7e_ard_3-2-0_092076_2021-07-03_final
2021-07-11 08:40:29	ga_ls7e_ard_3-2-0_093080_2021-07-10_final
2021-07-18 08:44:28	ga_ls7e_ard_3-2-0_094076_2021-07-17_final
2021-08-12 08:35:41	ga_ls7e_ard_3-2-0_093075_2021-08-11_final
2021-08-14 10:01:14	ga_ls7e_ard_3-2-0_107073_2021-08-14_final
2021-08-15 10:42:00	ga_ls7e_ard_3-2-0_114067_2021-08-15_final
2021-08-18 09:34:33	ga_ls7e_ard_3-2-0_103069_2021-08-18_final
2021-08-19 08:43:14	ga_ls7e_ard_3-2-0_094080_2021-08-18_final
2021-09-04 10:19:33	ga_ls7e_ard_3-2-0_110077_2021-09-04_final
2021-09-20 10:20:31	ga_ls7e_ard_3-2-0_110083_2021-09-20_final
2021-09-22 08:26:19	ga_ls7e_ard_3-2-0_092076_2021-09-21_final
2021-09-22 08:28:42	ga_ls7e_ard_3-2-0_092082_2021-09-21_final
2021-09-29 10:09:32	ga_ls7e_ard_3-2-0_109073_2021-09-29_final
2021-10-10 09:51:38	ga_ls7e_ard_3-2-0_106077_2021-10-10_final
2021-10-23 09:17:34	ga_ls7e_ard_3-2-0_101072_2021-10-22_final
2021-10-26 08:14:31	ga_ls7e_ard_3-2-0_090085_2021-10-25_final
2021-11-19 08:57:16	ga_ls7e_ard_3-2-1_098074_2021-11-18_final
2021-11-25 10:01:16	ga_ls7e_ard_3-2-1_108081_2021-11-25_final
2021-12-01 09:20:03	ga_ls7e_ard_3-2-1_102072_2021-11-30_final
2021-12-08 09:28:46	ga_ls7e_ard_3-2-1_103080_2021-12-07_final
2021-12-25 08:33:30	ga_ls7e_ard_3-2-1_094085_2021-12-24_final
2022-01-08 10:21:44	ga_ls7e_ard_3-2-1_112081_2022-01-08_final
2022-01-31 10:24:31	ga_ls7e_ard_3-2-1_113078_2022-01-31_final
2022-02-21 09:00:51	ga_ls7e_ard_3-2-1_100075_2022-02-20_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