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
2000-09-13 11:42:15	ga_ls7e_ard_3-0-0_115076_2000-09-13_final
2001-08-24 11:35:00	ga_ls7e_ard_3-0-0_114078_2001-08-24_final
2002-01-15 11:35:23	ga_ls7e_ard_3-0-0_114079_2002-01-15_final
2002-03-15 09:40:04	ga_ls7e_ard_3-0-0_095084_2002-03-15_final
2002-05-02 09:41:14	ga_ls7e_ard_3-0-0_095087_2002-05-02_final
2002-09-23 09:37:46	ga_ls7e_ard_3-0-0_095081_2002-09-23_final
2003-01-02 11:34:58	ga_ls7e_ard_3-0-0_114079_2003-01-02_final
2003-10-28 09:37:36	ga_ls7e_ard_3-1-0_095079_2003-10-28_final
2003-11-29 09:37:04	ga_ls7e_ard_3-0-0_095077_2003-11-29_final
2004-03-20 09:40:28	ga_ls7e_ard_3-0-0_095084_2004-03-20_final
2004-04-21 09:39:54	ga_ls7e_ard_3-0-0_095083_2004-04-21_final
2004-12-22 11:35:06	ga_ls7e_ard_3-0-0_114077_2004-12-22_final
2005-02-19 09:36:50	ga_ls7e_ard_3-0-0_095074_2005-02-19_final
2005-04-24 09:39:09	ga_ls7e_ard_3-0-0_095080_2005-04-24_final
2005-06-11 09:37:53	ga_ls7e_ard_3-0-0_095077_2005-06-11_final
2005-07-29 09:37:00	ga_ls7e_ard_3-0-0_095075_2005-07-29_final
2006-04-11 09:39:14	ga_ls7e_ard_3-1-0_095079_2006-04-11_final
2006-06-14 09:37:12	ga_ls7e_ard_3-0-0_095074_2006-06-14_final
2006-11-05 09:38:36	ga_ls7e_ard_3-0-0_095078_2006-11-05_final
2007-02-25 09:41:16	ga_ls7e_ard_3-0-0_095083_2007-02-25_final
2007-08-09 11:37:06	ga_ls7e_ard_3-0-0_114080_2007-08-09_final
2007-11-24 09:37:47	ga_ls7e_ard_3-0-0_095075_2007-11-24_final
2008-01-16 11:36:59	ga_ls7e_ard_3-0-0_114079_2008-01-16_final
2009-03-02 09:37:39	ga_ls7e_ard_3-0-0_095075_2009-03-02_final
2009-03-18 09:37:46	ga_ls7e_ard_3-0-0_095075_2009-03-18_final
2009-05-05 09:38:01	ga_ls7e_ard_3-0-0_095075_2009-05-05_final
2009-05-26 11:36:40	ga_ls7e_ard_3-0-0_114078_2009-05-26_final
2009-06-22 09:42:48	ga_ls7e_ard_3-0-0_095087_2009-06-22_final
2010-09-02 11:39:18	ga_ls7e_ard_3-0-0_114080_2010-09-02_final
2010-09-13 09:41:29	ga_ls7e_ard_3-1-0_095079_2010-09-13_final
2011-02-20 09:45:04	ga_ls7e_ard_3-0-0_095085_2011-02-20_final
2011-03-08 09:42:45	ga_ls7e_ard_3-1-0_095079_2011-03-08_final
2011-03-24 09:41:10	ga_ls7e_ard_3-0-0_095075_2011-03-24_final
2011-06-01 11:40:13	ga_ls7e_ard_3-0-0_114079_2011-06-01_final
2011-06-28 09:45:07	ga_ls7e_ard_3-0-0_095085_2011-06-28_final
2011-08-31 09:44:09	ga_ls7e_ard_3-0-0_095083_2011-08-31_final
2011-09-28 11:44:50	ga_ls7e_ard_3-0-0_115076_2011-09-28_final
2011-10-02 09:41:15	ga_ls7e_ard_3-0-0_095076_2011-10-02_final
2011-11-19 09:43:13	ga_ls7e_ard_3-0-0_095080_2011-11-19_final
2013-01-08 09:46:33	ga_ls7e_ard_3-0-0_095082_2013-01-08_final
2013-01-29 11:41:38	ga_ls7e_ard_3-0-0_114076_2013-01-29_final
2014-01-11 09:47:39	ga_ls7e_ard_3-0-0_095084_2014-01-11_final
2014-02-28 09:47:54	ga_ls7e_ard_3-0-0_095084_2014-02-28_final
2014-04-01 09:46:58	ga_ls7e_ard_3-0-0_095081_2014-04-01_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2015-04-20 09:50:25	ga_ls7e_ard_3-0-0_095084_2015-04-20_final
2015-09-11 09:47:06	ga_ls7e_ard_3-0-0_095074_2015-09-11_final
2016-10-31 09:51:04	ga_ls7e_ard_3-0-0_095077_2016-10-31_final
2017-01-19 09:50:54	ga_ls7e_ard_3-0-0_095078_2017-01-19_final
2017-04-09 09:53:05	ga_ls7e_ard_3-0-0_095083_2017-04-09_final
2017-09-16 09:53:22	ga_ls7e_ard_3-0-0_095083_2017-09-16_final
2017-12-21 09:53:30	ga_ls7e_ard_3-0-0_095084_2017-12-21_final
2018-04-01 11:47:35	ga_ls7e_ard_3-0-0_114079_2018-04-01_final
2018-07-06 11:45:55	ga_ls7e_ard_3-0-0_114079_2018-07-06_final
2019-09-18 11:37:45	ga_ls7e_ard_3-1-0_115077_2019-09-18_final
2019-09-22 09:35:34	ga_ls7e_ard_3-1-0_095081_2019-09-22_final
2019-10-24 09:36:37	ga_ls7e_ard_3-1-0_095087_2019-10-24_final
2020-02-29 09:29:05	ga_ls7e_ard_3-1-0_095084_2020-02-28_final
2020-06-04 09:20:19	ga_ls7e_ard_3-1-0_095076_2020-06-03_final
2020-07-06 09:18:50	ga_ls7e_ard_3-1-0_095077_2020-07-05_final
2020-09-24 09:16:07	ga_ls7e_ard_3-1-0_095083_2020-09-23_final
2020-12-13 09:08:16	ga_ls7e_ard_3-1-0_095077_2020-12-12_final
2021-02-22 10:50:10	ga_ls7e_ard_3-2-0_112082_2021-02-22_final
2021-02-26 08:45:27	ga_ls7e_ard_3-2-0_092080_2021-02-25_final
2021-03-01 09:13:44	ga_ls7e_ard_3-2-0_097074_2021-02-28_final
2021-03-17 09:16:04	ga_ls7e_ard_3-2-0_097083_2021-03-16_final
2021-03-19 10:42:25	ga_ls7e_ard_3-2-0_111083_2021-03-19_final
2021-03-21 10:29:06	ga_ls7e_ard_3-2-0_109081_2021-03-21_final
2021-04-13 08:54:07	ga_ls7e_ard_3-2-0_094080_2021-04-12_final
2021-04-15 08:40:47	ga_ls7e_ard_3-2-0_092078_2021-04-14_final
2021-04-25 09:18:13	ga_ls7e_ard_3-2-0_098081_2021-04-24_final
2021-05-01 08:42:14	ga_ls7e_ard_3-2-0_092085_2021-04-30_final
2021-05-08 10:25:07	ga_ls7e_ard_3-2-0_109081_2021-05-08_final
2021-05-10 08:32:54	ga_ls7e_ard_3-2-0_091079_2021-05-09_final
2021-06-17 09:28:44	ga_ls7e_ard_3-2-0_101072_2021-06-16_final
2021-07-11 08:38:05	ga_ls7e_ard_3-2-0_093074_2021-07-10_final
2021-07-11 08:38:29	ga_ls7e_ard_3-2-0_093075_2021-07-10_final
2021-07-28 09:19:52	ga_ls7e_ard_3-2-0_100074_2021-07-27_final
2021-07-30 09:11:44	ga_ls7e_ard_3-2-0_098085_2021-07-29_final
2021-08-07 08:19:35	ga_ls7e_ard_3-2-0_090080_2021-08-06_final
2021-08-13 09:20:51	ga_ls7e_ard_3-2-0_100080_2021-08-12_final
2021-08-20 09:23:37	ga_ls7e_ard_3-2-0_101073_2021-08-19_final
2021-08-26 08:48:49	ga_ls7e_ard_3-2-0_095080_2021-08-25_final
2021-08-31 10:45:01	ga_ls7e_ard_3-2-0_114078_2021-08-31_final
2021-09-04 10:20:44	ga_ls7e_ard_3-2-0_110080_2021-09-04_final
2021-09-17 09:44:42	ga_ls7e_ard_3-2-0_105070_2021-09-17_final
2021-09-18 08:50:12	ga_ls7e_ard_3-2-0_096073_2021-09-17_final
2021-10-04 10:28:51	ga_ls7e_ard_3-2-0_112076_2021-10-04_final
2021-10-27 08:55:41	ga_ls7e_ard_3-2-0_097080_2021-10-26_final
2021-10-28 09:35:39	ga_ls7e_ard_3-2-0_104072_2021-10-28_final
2021-11-23 10:13:25	ga_ls7e_ard_3-2-1_110080_2021-11-23_final
2021-12-12 09:00:52	ga_ls7e_ard_3-2-1_099073_2021-12-11_final
2021-12-26 09:13:04	ga_ls7e_ard_3-2-1_101076_2021-12-25_final
2022-01-01 08:37:22	ga_ls7e_ard_3-2-1_095081_2021-12-31_final
2022-01-19 10:00:34	ga_ls7e_ard_3-2-1_109077_2022-01-19_final
2022-01-24 10:17:49	ga_ls7e_ard_3-2-1_112075_2022-01-24_final
2022-02-10 09:21:41	ga_ls7e_ard_3-2-1_103078_2022-02-09_final
2022-02-18 10:10:43	ga_ls7e_ard_3-2-1_111079_2022-02-18_final
2022-02-20 08:17:18	ga_ls7e_ard_3-2-1_093074_2022-02-19_final
2022-02-26 09:16:56	ga_ls7e_ard_3-2-1_103070_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