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
1999-10-29 11:44:53	ga_ls7e_ard_3-1-0_115077_1999-10-29_final
2000-02-29 11:25:42	ga_ls7e_ard_3-0-0_112076_2000-02-29_final
2000-08-14 11:29:32	ga_ls7e_ard_3-0-0_113074_2000-08-14_final
2000-10-03 09:42:01	ga_ls7e_ard_3-0-0_095085_2000-10-03_final
2001-12-25 09:35:06	ga_ls7e_ard_3-0-0_095072_2001-12-25_final
2002-06-03 09:35:01	ga_ls7e_ard_3-0-0_095072_2002-06-03_final
2003-08-25 09:40:46	ga_ls7e_ard_3-0-0_095087_2003-08-25_final
2003-10-19 11:23:19	ga_ls7e_ard_3-0-0_112081_2003-10-19_final
2003-11-09 11:41:17	ga_ls7e_ard_3-0-0_115079_2003-11-09_final
2004-03-09 11:36:14	ga_ls7e_ard_3-0-0_114080_2004-03-09_final
2004-08-27 09:39:09	ga_ls7e_ard_3-0-0_095082_2004-08-27_final
2004-10-28 11:28:51	ga_ls7e_ard_3-0-0_113078_2004-10-28_final
2005-01-14 11:40:12	ga_ls7e_ard_3-0-0_115074_2005-01-14_final
2005-04-24 09:39:56	ga_ls7e_ard_3-0-0_095082_2005-04-24_final
2005-06-16 11:35:40	ga_ls7e_ard_3-0-0_114078_2005-06-16_final
2005-08-03 11:36:01	ga_ls7e_ard_3-0-0_114079_2005-08-03_final
2005-09-29 11:28:43	ga_ls7e_ard_3-0-0_113077_2005-09-29_final
2005-12-04 09:41:59	ga_ls7e_ard_3-0-0_095087_2005-12-04_final
2006-01-28 11:23:02	ga_ls7e_ard_3-0-0_112076_2006-01-28_final
2007-03-18 11:37:33	ga_ls7e_ard_3-0-0_114080_2007-03-18_final
2007-03-27 11:32:58	ga_ls7e_ard_3-0-0_113084_2007-03-27_final
2007-08-20 09:42:00	ga_ls7e_ard_3-0-0_095086_2007-08-20_final
2007-08-25 11:35:00	ga_ls7e_ard_3-0-0_114075_2007-08-25_final
2007-12-01 11:24:54	ga_ls7e_ard_3-0-0_112080_2007-12-01_final
2008-01-09 11:32:24	ga_ls7e_ard_3-0-0_113083_2008-01-09_final
2008-07-03 11:31:35	ga_ls7e_ard_3-0-0_113083_2008-07-03_final
2008-07-21 09:40:31	ga_ls7e_ard_3-0-0_095084_2008-07-21_final
2009-02-28 11:30:52	ga_ls7e_ard_3-0-0_113080_2009-02-28_final
2009-03-02 09:36:27	ga_ls7e_ard_3-0-0_095072_2009-03-02_final
2010-01-14 11:30:45	ga_ls7e_ard_3-0-0_113076_2010-01-14_final
2010-01-28 11:43:42	ga_ls7e_ard_3-1-0_115077_2010-01-28_final
2010-01-30 11:32:58	ga_ls7e_ard_3-0-0_113081_2010-01-30_final
2010-05-08 11:21:50	ga_ls7e_ard_3-0-0_111083_2010-05-08_final
2011-02-11 11:27:17	ga_ls7e_ard_3-0-0_112078_2011-02-11_final
2011-04-07 11:32:04	ga_ls7e_ard_3-0-0_113074_2011-04-07_final
2012-02-19 11:45:45	ga_ls7e_ard_3-0-0_115076_2012-02-19_final
2012-03-06 11:44:54	ga_ls7e_ard_3-0-0_115074_2012-03-06_final
2012-10-09 11:43:03	ga_ls7e_ard_3-0-0_114081_2012-10-09_final
2012-12-12 11:41:29	ga_ls7e_ard_3-0-0_114076_2012-12-12_final
2013-11-13 11:42:00	ga_ls7e_ard_3-0-0_114077_2013-11-13_final
2014-01-27 09:44:24	ga_ls7e_ard_3-0-0_095075_2014-01-27_final
2014-06-19 09:04:08	ga_ls7e_ard_3-0-0_088081_2014-06-18_final
2014-07-06 11:27:12	ga_ls7e_ard_3-0-0_111083_2014-07-06_final
2014-12-27 11:40:33	ga_ls7e_ard_3-0-0_113083_2014-12-27_final
2015-06-30 11:35:54	ga_ls7e_ard_3-0-0_112084_2015-06-30_final
2016-02-07 11:46:28	ga_ls7e_ard_3-0-0_114074_2016-02-07_final
2016-02-16 11:43:07	ga_ls7e_ard_3-0-0_113081_2016-02-16_final
2016-05-06 11:43:38	ga_ls7e_ard_3-0-0_113081_2016-05-06_final
2016-05-24 09:54:02	ga_ls7e_ard_3-0-0_095085_2016-05-24_final
2017-07-12 11:38:19	ga_ls7e_ard_3-0-0_113067_2017-07-12_final
2017-08-13 11:41:03	ga_ls7e_ard_3-0-0_113074_2017-08-13_final
2017-12-26 11:48:28	ga_ls7e_ard_3-0-0_114078_2017-12-26_final
2018-01-22 09:49:28	ga_ls7e_ard_3-0-0_095075_2018-01-22_final
2018-05-12 11:42:42	ga_ls7e_ard_3-0-0_113084_2018-05-12_final
2018-09-19 11:27:54	ga_ls7e_ard_3-0-0_111084_2018-09-19_final
2018-11-11 11:43:14	ga_ls7e_ard_3-0-0_114079_2018-11-11_final
2018-11-27 11:42:26	ga_ls7e_ard_3-0-0_114078_2018-11-27_final
2019-05-22 11:37:05	ga_ls7e_ard_3-0-0_114079_2019-05-22_final
2019-10-22 11:22:45	ga_ls7e_ard_3-1-0_113074_2019-10-22_final
2019-10-31 11:13:24	ga_ls7e_ard_3-1-0_112067_2019-10-31_final
2020-01-26 11:21:17	ga_ls7e_ard_3-1-0_113082_2020-01-26_final
2020-04-24 11:04:16	ga_ls7e_ard_3-1-0_112067_2020-04-24_final
2020-12-11 11:01:15	ga_ls7e_ard_3-1-0_113081_2020-12-11_final
2021-01-29 10:01:43	ga_ls7e_ard_3-2-0_104080_2021-01-29_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-03-13 09:37:07	ga_ls7e_ard_3-2-0_101073_2021-03-13_final
2021-03-26 09:08:46	ga_ls7e_ard_3-2-0_096082_2021-03-25_final
2021-04-08 10:12:29	ga_ls7e_ard_3-2-0_107074_2021-04-08_final
2021-04-15 10:21:40	ga_ls7e_ard_3-2-0_108083_2021-04-15_final
2021-04-21 09:40:05	ga_ls7e_ard_3-2-0_102073_2021-04-21_final
2021-04-27 09:07:41	ga_ls7e_ard_3-2-0_096086_2021-04-26_final
2021-05-12 09:57:40	ga_ls7e_ard_3-2-0_105075_2021-05-12_final
2021-05-20 10:48:25	ga_ls7e_ard_3-2-0_113080_2021-05-20_final
2021-05-23 09:36:12	ga_ls7e_ard_3-2-0_102070_2021-05-23_final
2021-05-28 09:53:30	ga_ls7e_ard_3-2-0_105068_2021-05-28_final
2021-05-29 08:57:24	ga_ls7e_ard_3-2-0_096067_2021-05-28_final
2021-05-31 08:52:27	ga_ls7e_ard_3-2-0_094086_2021-05-30_final
2021-06-02 10:12:01	ga_ls7e_ard_3-2-0_108069_2021-06-02_final
2021-06-11 10:07:06	ga_ls7e_ard_3-2-0_107074_2021-06-11_final
2021-06-19 09:20:12	ga_ls7e_ard_3-2-0_099082_2021-06-18_final
2021-07-10 09:31:24	ga_ls7e_ard_3-2-0_102068_2021-07-10_final
2021-07-29 10:03:03	ga_ls7e_ard_3-2-0_107074_2021-07-29_final
2021-08-12 08:40:05	ga_ls7e_ard_3-2-0_093086_2021-08-11_final
2021-08-18 09:36:57	ga_ls7e_ard_3-2-0_103075_2021-08-18_final
2021-08-22 09:12:17	ga_ls7e_ard_3-2-0_099076_2021-08-21_final
2021-08-27 09:28:00	ga_ls7e_ard_3-2-0_102070_2021-08-26_final
2021-09-08 09:50:53	ga_ls7e_ard_3-2-0_106068_2021-09-08_final
2021-09-22 10:04:23	ga_ls7e_ard_3-2-0_108074_2021-09-22_final
2021-10-17 08:17:55	ga_ls7e_ard_3-2-0_091076_2021-10-16_final
2021-10-26 08:11:43	ga_ls7e_ard_3-2-0_090078_2021-10-25_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2022-01-06 10:33:05	ga_ls7e_ard_3-2-1_114078_2022-01-06_final
2022-01-19 09:57:46	ga_ls7e_ard_3-2-1_109070_2022-01-19_final
2022-01-31 10:24:31	ga_ls7e_ard_3-2-1_113078_2022-01-31_final
2022-02-08 09:35:51	ga_ls7e_ard_3-2-1_105082_2022-02-08_final
2022-03-17 08:13:26	ga_ls7e_ard_3-2-1_092086_2022-03-16_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-24 09:52:15	ga_ls7e_ard_3-2-1_109072_2022-03-24_final
2022-04-02 08:08:20	ga_ls7e_ard_3-2-1_092077_2022-04-01_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_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