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
1999-12-31 10:59:56	ga_ls7e_ard_3-0-0_108073_1999-12-31_final
2001-01-23 11:15:49	ga_ls7e_ard_3-0-0_111072_2001-01-23_final
2001-06-12 11:41:13	ga_ls7e_ard_3-0-0_115076_2001-06-12_final
2001-10-08 11:02:47	ga_ls7e_ard_3-0-0_109076_2001-10-08_final
2001-10-24 11:02:48	ga_ls7e_ard_3-0-0_109076_2001-10-24_final
2001-12-04 10:56:01	ga_ls7e_ard_3-0-0_108074_2001-12-04_final
2002-01-03 11:07:20	ga_ls7e_ard_3-0-0_110071_2002-01-03_final
2002-08-08 11:01:53	ga_ls7e_ard_3-0-0_109074_2002-08-08_final
2002-09-07 11:14:04	ga_ls7e_ard_3-0-0_111074_2002-09-07_final
2002-10-25 09:35:00	ga_ls7e_ard_3-0-0_095074_2002-10-25_final
2003-02-05 11:18:05	ga_ls7e_ard_3-0-0_112067_2003-02-05_final
2003-05-07 11:02:29	ga_ls7e_ard_3-0-0_109074_2003-05-07_final
2003-08-11 11:02:55	ga_ls7e_ard_3-0-0_109076_2003-08-11_final
2003-08-30 11:34:11	ga_ls7e_ard_3-0-0_114077_2003-08-30_final
2003-10-30 11:02:32	ga_ls7e_ard_3-0-0_109075_2003-10-30_final
2003-11-11 11:26:57	ga_ls7e_ard_3-0-0_113074_2003-11-11_final
2004-06-08 11:15:10	ga_ls7e_ard_3-0-0_111074_2004-06-08_final
2004-11-06 11:21:10	ga_ls7e_ard_3-0-0_112074_2004-11-06_final
2004-12-03 11:03:39	ga_ls7e_ard_3-0-0_109076_2004-12-03_final
2004-12-10 11:09:28	ga_ls7e_ard_3-0-0_110075_2004-12-10_final
2005-09-17 11:01:59	ga_ls7e_ard_3-0-0_109072_2005-09-17_final
2006-02-06 11:13:43	ga_ls7e_ard_3-0-0_111068_2006-02-06_final
2006-04-04 11:12:46	ga_ls7e_ard_3-0-0_110081_2006-04-04_final
2006-09-11 11:07:52	ga_ls7e_ard_3-0-0_110070_2006-09-11_final
2007-05-18 11:04:04	ga_ls7e_ard_3-0-0_109074_2007-05-18_final
2007-07-03 09:34:39	ga_ls7e_ard_3-0-0_095067_2007-07-03_final
2007-09-23 11:03:54	ga_ls7e_ard_3-0-0_109075_2007-09-23_final
2007-10-12 11:36:22	ga_ls7e_ard_3-0-0_114079_2007-10-12_final
2007-11-17 11:09:38	ga_ls7e_ard_3-0-0_110073_2007-11-17_final
2008-01-11 09:36:46	ga_ls7e_ard_3-0-0_095072_2008-01-11_final
2009-02-19 11:34:58	ga_ls7e_ard_3-0-0_114075_2009-02-19_final
2009-04-26 11:19:52	ga_ls7e_ard_3-0-0_112067_2009-04-26_final
2009-08-11 11:03:54	ga_ls7e_ard_3-0-0_109074_2009-08-11_final
2010-04-18 11:43:49	ga_ls7e_ard_3-0-0_115076_2010-04-18_final
2010-06-18 11:10:27	ga_ls7e_ard_3-0-0_110070_2010-06-18_final
2010-09-22 11:12:35	ga_ls7e_ard_3-0-0_110075_2010-09-22_final
2011-05-13 11:07:42	ga_ls7e_ard_3-0-0_109075_2011-05-13_final
2011-05-26 09:00:43	ga_ls7e_ard_3-0-0_088082_2011-05-25_final
2011-06-23 11:01:30	ga_ls7e_ard_3-1-0_108075_2011-06-23_final
2011-06-30 11:08:02	ga_ls7e_ard_3-0-0_109076_2011-06-30_final
2011-07-16 11:07:38	ga_ls7e_ard_3-0-0_109075_2011-07-16_final
2011-08-31 11:18:39	ga_ls7e_ard_3-0-0_111072_2011-08-31_final
2011-09-05 11:35:10	ga_ls7e_ard_3-0-0_114067_2011-09-05_final
2012-05-06 11:17:40	ga_ls7e_ard_3-0-0_110082_2012-05-06_final
2012-07-11 11:02:40	ga_ls7e_ard_3-1-0_108075_2012-07-11_final
2013-08-06 11:08:59	ga_ls7e_ard_3-0-0_109074_2013-08-06_final
2014-01-13 11:09:03	ga_ls7e_ard_3-0-0_109071_2014-01-13_final
2014-03-09 11:20:42	ga_ls7e_ard_3-0-0_110084_2014-03-09_final
2014-09-01 11:15:57	ga_ls7e_ard_3-0-0_110070_2014-09-01_final
2014-11-06 11:06:10	ga_ls7e_ard_3-1-0_108075_2014-11-06_final
2015-03-19 11:28:17	ga_ls7e_ard_3-1-0_111082_2015-03-19_final
2015-05-20 11:41:30	ga_ls7e_ard_3-0-0_113083_2015-05-20_final
2015-12-16 11:26:53	ga_ls7e_ard_3-0-0_111073_2015-12-16_final
2016-04-06 11:29:03	ga_ls7e_ard_3-0-0_111076_2016-04-06_final
2016-10-29 11:42:43	ga_ls7e_ard_3-0-0_113078_2016-10-29_final
2017-03-17 11:26:05	ga_ls7e_ard_3-0-0_110084_2017-03-17_final
2017-08-15 09:47:01	ga_ls7e_ard_3-0-0_095067_2017-08-15_final
2017-09-07 11:38:28	ga_ls7e_ard_3-0-0_112083_2017-09-07_final
2017-10-29 11:08:59	ga_ls7e_ard_3-1-0_108071_2017-10-29_final
2018-03-11 11:26:09	ga_ls7e_ard_3-0-0_111071_2018-03-11_final
2018-04-05 11:21:13	ga_ls7e_ard_3-0-0_110075_2018-04-05_final
2018-04-14 11:14:29	ga_ls7e_ard_3-0-0_109074_2018-04-14_final
2018-06-10 11:07:45	ga_ls7e_ard_3-1-0_108075_2018-06-10_final
2018-07-19 11:11:35	ga_ls7e_ard_3-0-0_109071_2018-07-19_final
2019-02-12 11:08:27	ga_ls7e_ard_3-0-0_109076_2019-02-12_final
2019-05-01 11:20:58	ga_ls7e_ard_3-0-0_111083_2019-05-01_final
2019-05-19 11:05:06	ga_ls7e_ard_3-0-0_109076_2019-05-19_final
2019-10-10 10:58:57	ga_ls7e_ard_3-1-0_109075_2019-10-10_final
2019-11-20 10:52:56	ga_ls7e_ard_3-1-0_108080_2019-11-20_final
2020-02-06 11:02:11	ga_ls7e_ard_3-1-0_110082_2020-02-06_final
2020-02-08 10:46:56	ga_ls7e_ard_3-1-0_108075_2020-02-08_final
2020-02-13 11:02:01	ga_ls7e_ard_3-1-0_111067_2020-02-13_final
2020-04-01 11:01:25	ga_ls7e_ard_3-1-0_111072_2020-04-01_final
2020-05-19 09:23:16	ga_ls7e_ard_3-1-0_095081_2020-05-18_final
2020-06-13 10:51:42	ga_ls7e_ard_3-1-0_110074_2020-06-13_final
2020-11-06 10:33:39	ga_ls7e_ard_3-1-0_108083_2020-11-06_final
2021-01-29 10:00:55	ga_ls7e_ard_3-2-0_104078_2021-01-29_final
2021-02-19 10:19:53	ga_ls7e_ard_3-2-0_107083_2021-02-19_final
2021-02-23 09:54:04	ga_ls7e_ard_3-2-0_103081_2021-02-23_final
2021-03-03 09:00:49	ga_ls7e_ard_3-2-0_095073_2021-03-02_final
2021-03-09 10:03:20	ga_ls7e_ard_3-2-0_105076_2021-03-09_final
2021-03-15 09:26:59	ga_ls7e_ard_3-2-0_099079_2021-03-14_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-04-25 09:17:01	ga_ls7e_ard_3-2-0_098078_2021-04-24_final
2021-05-11 09:18:05	ga_ls7e_ard_3-2-0_098084_2021-05-10_final
2021-05-28 09:55:06	ga_ls7e_ard_3-2-0_105072_2021-05-28_final
2021-07-21 09:13:30	ga_ls7e_ard_3-2-0_099072_2021-07-20_final
2021-07-30 10:47:49	ga_ls7e_ard_3-2-0_114078_2021-07-30_final
2021-08-30 08:26:33	ga_ls7e_ard_3-2-0_091087_2021-08-29_final
2021-08-30 10:03:50	ga_ls7e_ard_3-2-0_107083_2021-08-30_final
2021-09-22 10:04:47	ga_ls7e_ard_3-2-0_108075_2021-09-22_final
2021-10-26 09:46:36	ga_ls7e_ard_3-2-0_106068_2021-10-26_final
2021-11-12 08:49:46	ga_ls7e_ard_3-2-0_097069_2021-11-11_final
2021-11-14 10:17:42	ga_ls7e_ard_3-2-1_111073_2021-11-14_final
2021-12-06 09:36:31	ga_ls7e_ard_3-2-1_105068_2021-12-06_final
2021-12-21 08:51:49	ga_ls7e_ard_3-2-1_098068_2021-12-20_final
2021-12-29 08:09:34	ga_ls7e_ard_3-2-1_090088_2021-12-28_final
2022-02-13 08:12:12	ga_ls7e_ard_3-2-1_092075_2022-02-12_final
2022-02-15 09:35:43	ga_ls7e_ard_3-2-1_106068_2022-02-15_final
2022-03-08 09:57:49	ga_ls7e_ard_3-2-1_109082_2022-03-08_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