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
1999-09-06 11:29:11	ga_ls7e_ard_3-1-0_112084_1999-09-06_final
1999-09-20 10:01:02	ga_ls7e_ard_3-1-0_098080_1999-09-20_final
2001-01-03 11:42:23	ga_ls7e_ard_3-1-0_115077_2001-01-03_final
2001-05-08 11:09:07	ga_ls7e_ard_3-1-0_110072_2001-05-08_final
2001-10-03 10:43:51	ga_ls7e_ard_3-1-0_106075_2001-10-03_final
2001-12-05 11:40:28	ga_ls7e_ard_3-1-0_115077_2001-12-05_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2002-06-24 09:56:35	ga_ls7e_ard_3-1-0_098080_2002-06-24_final
2002-12-28 09:35:09	ga_ls7e_ard_3-1-0_095073_2002-12-28_final
2003-02-02 09:15:50	ga_ls7e_ard_3-1-0_091086_2003-02-01_final
2004-08-06 10:56:45	ga_ls7e_ard_3-1-0_108075_2004-08-06_final
2005-03-23 09:36:30	ga_ls7e_ard_3-1-0_095073_2005-03-23_final
2005-10-12 10:57:01	ga_ls7e_ard_3-1-0_108075_2005-10-12_final
2006-09-20 11:06:01	ga_ls7e_ard_3-1-0_109081_2006-09-20_final
2006-10-20 11:18:50	ga_ls7e_ard_3-1-0_111082_2006-10-20_final
2007-02-13 09:17:41	ga_ls7e_ard_3-1-0_091086_2007-02-12_final
2007-09-10 09:57:58	ga_ls7e_ard_3-1-0_098080_2007-09-10_final
2007-09-18 09:10:29	ga_ls7e_ard_3-1-0_090085_2007-09-17_final
2007-11-15 11:26:22	ga_ls7e_ard_3-1-0_112084_2007-11-15_final
2008-06-12 09:28:00	ga_ls7e_ard_3-1-0_094067_2008-06-11_final
2008-09-05 09:49:22	ga_ls7e_ard_3-1-0_097076_2008-09-05_final
2008-10-27 11:05:23	ga_ls7e_ard_3-1-0_109081_2008-10-27_final
2009-05-14 09:28:40	ga_ls7e_ard_3-1-0_094067_2009-05-13_final
2009-10-09 10:45:36	ga_ls7e_ard_3-1-0_106075_2009-10-09_final
2010-01-04 09:18:37	ga_ls7e_ard_3-1-0_091086_2010-01-03_final
2010-03-07 09:30:07	ga_ls7e_ard_3-1-0_093082_2010-03-07_final
2010-04-19 10:47:48	ga_ls7e_ard_3-1-0_106075_2010-04-19_final
2010-05-03 10:58:32	ga_ls7e_ard_3-1-0_108071_2010-05-03_final
2010-06-20 10:58:30	ga_ls7e_ard_3-1-0_108071_2010-06-20_final
2010-11-27 11:00:48	ga_ls7e_ard_3-1-0_108075_2010-11-27_final
2011-04-27 09:33:38	ga_ls7e_ard_3-1-0_093087_2011-04-27_final
2011-05-06 11:04:21	ga_ls7e_ard_3-1-0_108082_2011-05-06_final
2011-08-03 09:20:43	ga_ls7e_ard_3-1-0_091086_2011-08-02_final
2012-07-25 09:39:30	ga_ls7e_ard_3-1-0_094083_2012-07-25_final
2012-10-20 11:25:04	ga_ls7e_ard_3-1-0_111082_2012-10-20_final
2013-02-25 11:25:25	ga_ls7e_ard_3-1-0_111082_2013-02-25_final
2013-08-24 09:22:39	ga_ls7e_ard_3-1-0_091086_2013-08-23_final
2014-08-19 11:49:39	ga_ls7e_ard_3-1-0_115077_2014-08-19_final
2014-09-01 09:35:52	ga_ls7e_ard_3-1-0_094067_2014-09-01_final
2015-03-30 11:07:00	ga_ls7e_ard_3-1-0_108075_2015-03-30_final
2015-12-16 11:30:28	ga_ls7e_ard_3-1-0_111082_2015-12-16_final
2016-11-06 09:15:32	ga_ls7e_ard_3-1-0_089081_2016-11-05_final
2017-01-19 09:51:18	ga_ls7e_ard_3-1-0_095079_2017-01-19_final
2017-02-20 11:31:17	ga_ls7e_ard_3-1-0_111082_2017-02-20_final
2018-02-17 10:26:11	ga_ls7e_ard_3-1-0_101075_2018-02-17_final
2018-07-24 11:35:14	ga_ls7e_ard_3-1-0_112084_2018-07-24_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2019-01-06 10:50:39	ga_ls7e_ard_3-1-0_106075_2019-01-06_final
2019-02-05 11:02:04	ga_ls7e_ard_3-1-0_108075_2019-02-05_final
2019-02-19 11:12:49	ga_ls7e_ard_3-1-0_110072_2019-02-19_final
2019-02-23 09:12:17	ga_ls7e_ard_3-1-0_090080_2019-02-22_final
2019-02-24 09:52:19	ga_ls7e_ard_3-1-0_097072_2019-02-24_final
2019-02-24 09:53:31	ga_ls7e_ard_3-1-0_097075_2019-02-24_final
2019-02-26 09:45:05	ga_ls7e_ard_3-1-0_095085_2019-02-26_final
2019-03-02 10:53:32	ga_ls7e_ard_3-1-0_107071_2019-03-02_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-09-07 10:19:06	ga_ls7e_ard_3-1-0_102080_2019-09-07_final
2019-09-16 10:09:43	ga_ls7e_ard_3-1-0_101073_2019-09-16_final
2019-09-27 11:29:59	ga_ls7e_ard_3-1-0_114074_2019-09-27_final
2019-10-03 09:16:34	ga_ls7e_ard_3-1-0_092081_2019-10-02_final
2019-10-03 10:51:51	ga_ls7e_ard_3-1-0_108072_2019-10-03_final
2019-10-08 09:34:54	ga_ls7e_ard_3-1-0_095081_2019-10-08_final
2019-10-11 10:06:05	ga_ls7e_ard_3-1-0_100082_2019-10-11_final
2019-10-30 10:32:34	ga_ls7e_ard_3-1-0_105073_2019-10-30_final
2019-10-31 11:16:59	ga_ls7e_ard_3-1-0_112076_2019-10-31_final
2019-11-04 10:54:05	ga_ls7e_ard_3-1-0_108081_2019-11-04_final
2019-11-20 09:15:15	ga_ls7e_ard_3-1-0_092083_2019-11-19_final
2019-11-27 09:18:42	ga_ls7e_ard_3-1-0_093077_2019-11-26_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-05 10:09:45	ga_ls7e_ard_3-1-0_101082_2019-12-05_final
2019-12-09 09:44:26	ga_ls7e_ard_3-1-0_097081_2019-12-09_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2020-01-01 11:26:43	ga_ls7e_ard_3-1-0_114077_2020-01-01_final
2020-01-03 09:37:22	ga_ls7e_ard_3-1-0_096082_2020-01-03_final
2020-01-20 10:17:23	ga_ls7e_ard_3-1-0_103076_2020-01-20_final
2020-01-21 09:18:08	ga_ls7e_ard_3-1-0_094067_2020-01-20_final
2020-01-23 09:10:51	ga_ls7e_ard_3-1-0_092080_2020-01-22_final
2020-02-15 09:13:52	ga_ls7e_ard_3-1-0_093075_2020-02-14_final
2020-02-25 11:29:42	ga_ls7e_ard_3-1-0_115076_2020-02-25_final
2020-03-23 11:12:05	ga_ls7e_ard_3-1-0_112082_2020-03-23_final
2020-03-24 10:12:49	ga_ls7e_ard_3-1-0_103073_2020-03-24_final
2020-03-28 09:51:28	ga_ls7e_ard_3-1-0_099082_2020-03-28_final
2020-04-01 09:24:31	ga_ls7e_ard_3-1-0_095077_2020-03-31_final
2020-04-07 08:48:18	ga_ls7e_ard_3-1-0_089080_2020-04-06_final
2020-04-12 10:45:02	ga_ls7e_ard_3-1-0_108079_2020-04-12_final
2020-04-17 09:26:00	ga_ls7e_ard_3-1-0_095083_2020-04-16_final
2020-04-28 09:07:36	ga_ls7e_ard_3-1-0_092085_2020-04-27_final
2021-02-26 08:44:39	ga_ls7e_ard_3-2-0_092078_2021-02-25_final
2021-02-26 10:23:56	ga_ls7e_ard_3-2-0_108079_2021-02-26_final
2021-03-21 10:27:06	ga_ls7e_ard_3-2-0_109076_2021-03-21_final
2021-03-27 09:49:32	ga_ls7e_ard_3-2-0_103076_2021-03-27_final
2021-04-02 10:51:15	ga_ls7e_ard_3-2-0_113077_2021-04-02_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-08 10:10:53	ga_ls7e_ard_3-2-0_107070_2021-04-08_final
2021-05-19 08:25:34	ga_ls7e_ard_3-2-0_090078_2021-05-18_final
2021-05-19 08:25:58	ga_ls7e_ard_3-2-0_090079_2021-05-18_final
2021-05-19 10:04:03	ga_ls7e_ard_3-2-0_106077_2021-05-19_final
2021-06-05 10:48:39	ga_ls7e_ard_3-2-0_113084_2021-06-05_final
2021-06-06 09:48:10	ga_ls7e_ard_3-2-0_104072_2021-06-06_final
2022-03-23 09:11:29	ga_ls7e_ard_3-2-1_102078_2022-03-22_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