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
1999-09-11 11:43:41	ga_ls7e_ard_3-0-0_115074_1999-09-11_final
1999-11-02 09:40:05	ga_ls7e_ard_3-0-0_095074_1999-11-02_final
1999-11-21 11:51:24	ga_ls7e_ard_3-0-0_116078_1999-11-21_final
1999-12-07 11:51:29	ga_ls7e_ard_3-0-0_116078_1999-12-07_final
1999-12-23 11:51:28	ga_ls7e_ard_3-0-0_116078_1999-12-23_final
2000-01-05 09:44:01	ga_ls7e_ard_3-0-0_095084_2000-01-05_final
2000-09-06 11:37:47	ga_ls7e_ard_3-0-0_114080_2000-09-06_final
2000-11-09 11:37:20	ga_ls7e_ard_3-0-0_114080_2000-11-09_final
2001-02-08 09:41:59	ga_ls7e_ard_3-0-0_095085_2001-02-08_final
2001-07-02 09:38:57	ga_ls7e_ard_3-0-0_095080_2001-07-02_final
2002-05-02 09:38:02	ga_ls7e_ard_3-1-0_095079_2002-05-02_final
2003-01-02 11:35:21	ga_ls7e_ard_3-0-0_114080_2003-01-02_final
2003-01-13 09:36:24	ga_ls7e_ard_3-0-0_095076_2003-01-13_final
2003-03-30 11:39:30	ga_ls7e_ard_3-0-0_115074_2003-03-30_final
2003-05-21 09:36:40	ga_ls7e_ard_3-0-0_095076_2003-05-21_final
2003-11-29 09:36:16	ga_ls7e_ard_3-0-0_095075_2003-11-29_final
2003-12-31 09:37:18	ga_ls7e_ard_3-0-0_095077_2003-12-31_final
2004-04-26 11:34:58	ga_ls7e_ard_3-0-0_114077_2004-04-26_final
2004-05-23 09:37:58	ga_ls7e_ard_3-0-0_095078_2004-05-23_final
2005-03-23 09:38:05	ga_ls7e_ard_3-0-0_095077_2005-03-23_final
2005-04-24 09:37:33	ga_ls7e_ard_3-0-0_095076_2005-04-24_final
2005-07-13 09:38:13	ga_ls7e_ard_3-0-0_095078_2005-07-13_final
2005-12-04 09:38:24	ga_ls7e_ard_3-0-0_095078_2005-12-04_final
2006-03-26 09:38:29	ga_ls7e_ard_3-0-0_095077_2006-03-26_final
2006-05-29 09:39:39	ga_ls7e_ard_3-0-0_095080_2006-05-29_final
2007-01-08 09:41:49	ga_ls7e_ard_3-1-0_095085_2007-01-08_final
2007-02-09 09:39:35	ga_ls7e_ard_3-1-0_095079_2007-02-09_final
2007-05-16 09:38:22	ga_ls7e_ard_3-0-0_095076_2007-05-16_final
2007-09-01 11:42:43	ga_ls7e_ard_3-0-0_115079_2007-09-01_final
2008-01-27 09:39:56	ga_ls7e_ard_3-0-0_095080_2008-01-27_final
2009-04-03 09:37:53	ga_ls7e_ard_3-0-0_095075_2009-04-03_final
2009-07-08 09:38:45	ga_ls7e_ard_3-0-0_095077_2009-07-08_final
2009-07-24 09:39:29	ga_ls7e_ard_3-1-0_095079_2009-07-24_final
2010-02-17 09:40:44	ga_ls7e_ard_3-0-0_095078_2010-02-17_final
2010-03-05 09:36:28	ga_ls7e_ard_3-0-0_095067_2010-03-05_final
2011-09-16 09:42:52	ga_ls7e_ard_3-0-0_095080_2011-09-16_final
2011-10-02 09:42:03	ga_ls7e_ard_3-0-0_095078_2011-10-02_final
2011-11-19 09:42:49	ga_ls7e_ard_3-1-0_095079_2011-11-19_final
2012-03-31 11:39:32	ga_ls7e_ard_3-0-0_114076_2012-03-31_final
2012-05-02 11:41:06	ga_ls7e_ard_3-0-0_114079_2012-05-02_final
2012-05-29 09:42:30	ga_ls7e_ard_3-0-0_095076_2012-05-29_final
2013-02-14 11:41:38	ga_ls7e_ard_3-0-0_114076_2013-02-14_final
2013-06-06 11:41:31	ga_ls7e_ard_3-0-0_114077_2013-06-06_final
2013-06-17 09:44:51	ga_ls7e_ard_3-1-0_095079_2013-06-17_final
2013-08-04 09:44:51	ga_ls7e_ard_3-0-0_095080_2013-08-04_final
2014-02-12 09:48:25	ga_ls7e_ard_3-0-0_095085_2014-02-12_final
2014-09-08 09:47:39	ga_ls7e_ard_3-0-0_095081_2014-09-08_final
2015-02-15 09:47:53	ga_ls7e_ard_3-1-0_095079_2015-02-15_final
2015-10-02 11:46:32	ga_ls7e_ard_3-0-0_114079_2015-10-02_final
2016-04-06 09:51:22	ga_ls7e_ard_3-1-0_095079_2016-04-06_final
2016-06-09 09:50:32	ga_ls7e_ard_3-0-0_095076_2016-06-09_final
2016-09-13 09:50:42	ga_ls7e_ard_3-0-0_095076_2016-09-13_final
2017-03-24 09:52:13	ga_ls7e_ard_3-0-0_095081_2017-03-24_final
2018-01-06 09:53:41	ga_ls7e_ard_3-0-0_095085_2018-01-06_final
2019-01-09 09:43:47	ga_ls7e_ard_3-0-0_095078_2019-01-09_final
2019-09-06 09:35:05	ga_ls7e_ard_3-1-0_095078_2019-09-06_final
2020-04-17 09:24:48	ga_ls7e_ard_3-1-0_095080_2020-04-16_final
2020-07-22 09:19:27	ga_ls7e_ard_3-1-0_095081_2020-07-21_final
2021-02-21 10:02:59	ga_ls7e_ard_3-2-0_105072_2021-02-21_final
2021-03-03 09:02:01	ga_ls7e_ard_3-2-0_095076_2021-03-02_final
2021-03-08 09:19:22	ga_ls7e_ard_3-2-0_098074_2021-03-07_final
2021-03-15 09:24:59	ga_ls7e_ard_3-2-0_099074_2021-03-14_final
2021-03-28 08:54:38	ga_ls7e_ard_3-2-0_094078_2021-03-27_final
2021-04-01 08:30:23	ga_ls7e_ard_3-2-0_090080_2021-03-31_final
2021-04-12 09:46:14	ga_ls7e_ard_3-2-0_103071_2021-04-12_final
2021-04-18 09:10:38	ga_ls7e_ard_3-2-0_097076_2021-04-17_final
2021-04-20 08:59:18	ga_ls7e_ard_3-2-0_095079_2021-04-19_final
2021-04-23 09:28:21	ga_ls7e_ard_3-2-0_100075_2021-04-22_final
2021-05-05 09:51:40	ga_ls7e_ard_3-2-0_104074_2021-05-05_final
2021-06-07 08:53:40	ga_ls7e_ard_3-2-0_095075_2021-06-06_final
2021-06-26 09:23:00	ga_ls7e_ard_3-2-0_100075_2021-06-25_final
2021-07-10 09:35:47	ga_ls7e_ard_3-2-0_102079_2021-07-10_final
2021-07-20 10:11:12	ga_ls7e_ard_3-2-0_108077_2021-07-20_final
2021-08-03 10:22:45	ga_ls7e_ard_3-2-0_110078_2021-08-03_final
2021-08-07 09:58:52	ga_ls7e_ard_3-2-0_106081_2021-08-07_final
2021-08-10 10:30:42	ga_ls7e_ard_3-2-0_111084_2021-08-10_final
2021-08-17 10:33:27	ga_ls7e_ard_3-2-0_112077_2021-08-17_final
2021-08-21 08:30:19	ga_ls7e_ard_3-2-0_092079_2021-08-20_final
2021-08-25 09:44:32	ga_ls7e_ard_3-2-0_104080_2021-08-25_final
2021-09-02 10:32:05	ga_ls7e_ard_3-2-0_112077_2021-09-02_final
2021-09-04 08:40:16	ga_ls7e_ard_3-2-0_094076_2021-09-03_final
2021-09-11 08:47:02	ga_ls7e_ard_3-2-0_095079_2021-09-10_final
2021-09-13 08:38:05	ga_ls7e_ard_3-2-0_093088_2021-09-12_final
2021-09-15 10:00:26	ga_ls7e_ard_3-2-0_107078_2021-09-15_final
2021-09-24 08:15:22	ga_ls7e_ard_3-2-0_090080_2021-09-23_final
2021-09-25 10:35:25	ga_ls7e_ard_3-2-0_113075_2021-09-25_final
2021-10-13 10:23:04	ga_ls7e_ard_3-2-0_111079_2021-10-13_final
2021-10-20 08:47:21	ga_ls7e_ard_3-2-0_096073_2021-10-19_final
2021-10-28 09:39:15	ga_ls7e_ard_3-2-0_104081_2021-10-28_final
2021-11-05 08:49:27	ga_ls7e_ard_3-2-0_096082_2021-11-04_final
2021-12-26 09:14:15	ga_ls7e_ard_3-2-1_101079_2021-12-25_final
2022-01-10 10:08:00	ga_ls7e_ard_3-2-1_110078_2022-01-10_final
2022-01-12 09:54:39	ga_ls7e_ard_3-2-1_108076_2022-01-12_final
2022-02-02 10:11:57	ga_ls7e_ard_3-2-1_111078_2022-02-02_final
2022-02-09 08:38:08	ga_ls7e_ard_3-2-1_096077_2022-02-08_final
2022-02-22 09:45:13	ga_ls7e_ard_3-2-1_107078_2022-02-22_final
2022-03-06 08:31:06	ga_ls7e_ard_3-2-1_095081_2022-03-05_final
2022-03-07 09:13:04	ga_ls7e_ard_3-2-1_102078_2022-03-06_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_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