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
2000-09-17 09:37:45	ga_ls7e_ard_3-0-0_095074_2000-09-17_final
2001-02-24 09:40:22	ga_ls7e_ard_3-0-0_095081_2001-02-24_final
2001-06-05 11:37:05	ga_ls7e_ard_3-0-0_114081_2001-06-05_final
2001-10-06 09:36:15	ga_ls7e_ard_3-0-0_095076_2001-10-06_final
2001-12-09 09:33:00	ga_ls7e_ard_3-0-0_095067_2001-12-09_final
2002-02-11 09:36:07	ga_ls7e_ard_3-0-0_095074_2002-02-11_final
2002-05-02 09:35:39	ga_ls7e_ard_3-1-0_095073_2002-05-02_final
2002-07-17 11:41:08	ga_ls7e_ard_3-0-0_115079_2002-07-17_final
2004-08-27 09:37:34	ga_ls7e_ard_3-0-0_095078_2004-08-27_final
2005-07-29 09:39:00	ga_ls7e_ard_3-0-0_095080_2005-07-29_final
2006-06-14 09:38:24	ga_ls7e_ard_3-0-0_095077_2006-06-14_final
2006-12-07 09:39:43	ga_ls7e_ard_3-0-0_095080_2006-12-07_final
2007-03-13 09:41:19	ga_ls7e_ard_3-0-0_095083_2007-03-13_final
2007-06-01 09:39:27	ga_ls7e_ard_3-1-0_095079_2007-06-01_final
2007-07-19 09:39:47	ga_ls7e_ard_3-0-0_095080_2007-07-19_final
2007-08-16 11:42:50	ga_ls7e_ard_3-0-0_115079_2007-08-16_final
2007-11-08 09:40:03	ga_ls7e_ard_3-0-0_095081_2007-11-08_final
2009-05-05 09:38:49	ga_ls7e_ard_3-0-0_095077_2009-05-05_final
2009-07-24 09:37:53	ga_ls7e_ard_3-0-0_095075_2009-07-24_final
2009-07-24 09:41:04	ga_ls7e_ard_3-0-0_095083_2009-07-24_final
2009-11-13 09:38:35	ga_ls7e_ard_3-0-0_095076_2009-11-13_final
2010-08-12 09:40:12	ga_ls7e_ard_3-0-0_095076_2010-08-12_final
2011-04-09 09:41:37	ga_ls7e_ard_3-0-0_095076_2011-04-09_final
2011-04-25 09:42:48	ga_ls7e_ard_3-1-0_095079_2011-04-25_final
2011-04-25 09:43:36	ga_ls7e_ard_3-0-0_095081_2011-04-25_final
2011-05-11 09:41:35	ga_ls7e_ard_3-0-0_095076_2011-05-11_final
2011-05-27 09:42:23	ga_ls7e_ard_3-0-0_095078_2011-05-27_final
2012-10-20 09:43:47	ga_ls7e_ard_3-0-0_095076_2012-10-20_final
2013-01-08 09:43:46	ga_ls7e_ard_3-0-0_095075_2013-01-08_final
2013-02-09 09:44:13	ga_ls7e_ard_3-0-0_095076_2013-02-09_final
2013-02-09 09:45:01	ga_ls7e_ard_3-0-0_095078_2013-02-09_final
2014-03-16 09:44:04	ga_ls7e_ard_3-0-0_095074_2014-03-16_final
2014-04-01 09:48:34	ga_ls7e_ard_3-0-0_095085_2014-04-01_final
2014-06-04 09:46:12	ga_ls7e_ard_3-0-0_095078_2014-06-04_final
2014-12-13 09:46:51	ga_ls7e_ard_3-0-0_095077_2014-12-13_final
2015-03-03 09:48:52	ga_ls7e_ard_3-0-0_095081_2015-03-03_final
2015-06-23 09:48:24	ga_ls7e_ard_3-0-0_095078_2015-06-23_final
2015-07-09 09:48:06	ga_ls7e_ard_3-0-0_095077_2015-07-09_final
2016-02-18 09:49:52	ga_ls7e_ard_3-0-0_095076_2016-02-18_final
2016-06-09 09:52:32	ga_ls7e_ard_3-0-0_095081_2016-06-09_final
2016-08-28 09:53:28	ga_ls7e_ard_3-0-0_095083_2016-08-28_final
2017-01-03 09:51:52	ga_ls7e_ard_3-0-0_095080_2017-01-03_final
2017-11-03 09:50:14	ga_ls7e_ard_3-0-0_095075_2017-11-03_final
2017-11-19 09:50:58	ga_ls7e_ard_3-0-0_095077_2017-11-19_final
2018-09-19 09:45:26	ga_ls7e_ard_3-0-0_095075_2018-09-19_final
2019-08-21 09:34:58	ga_ls7e_ard_3-0-0_095076_2019-08-21_final
2019-09-06 09:35:29	ga_ls7e_ard_3-1-0_095079_2019-09-06_final
2019-09-22 09:33:34	ga_ls7e_ard_3-1-0_095076_2019-09-22_final
2019-10-08 09:32:30	ga_ls7e_ard_3-1-0_095075_2019-10-08_final
2020-01-28 09:31:08	ga_ls7e_ard_3-1-0_095085_2020-01-28_final
2020-08-23 09:15:26	ga_ls7e_ard_3-1-0_095076_2020-08-22_final
2020-09-08 09:14:23	ga_ls7e_ard_3-1-0_095076_2020-09-07_final
2020-09-08 09:15:11	ga_ls7e_ard_3-1-0_095078_2020-09-07_final
2021-01-21 09:12:51	ga_ls7e_ard_3-2-0_096080_2021-01-20_final
2021-03-02 09:57:19	ga_ls7e_ard_3-2-0_104075_2021-03-02_final
2021-03-09 10:04:32	ga_ls7e_ard_3-2-0_105079_2021-03-09_final
2021-03-10 09:07:39	ga_ls7e_ard_3-2-0_096076_2021-03-09_final
2021-04-13 08:53:19	ga_ls7e_ard_3-2-0_094078_2021-04-12_final
2021-04-13 08:54:55	ga_ls7e_ard_3-2-0_094082_2021-04-12_final
2021-04-27 09:06:29	ga_ls7e_ard_3-2-0_096083_2021-04-26_final
2021-05-01 10:17:55	ga_ls7e_ard_3-2-0_108077_2021-05-01_final
2021-05-10 10:11:47	ga_ls7e_ard_3-2-0_107079_2021-05-10_final
2021-05-15 10:29:30	ga_ls7e_ard_3-2-0_110078_2021-05-15_final
2021-05-19 08:26:46	ga_ls7e_ard_3-2-0_090081_2021-05-18_final
2021-05-28 09:57:06	ga_ls7e_ard_3-2-0_105077_2021-05-28_final
2021-06-11 10:06:42	ga_ls7e_ard_3-2-0_107073_2021-06-11_final
2021-06-20 10:02:59	ga_ls7e_ard_3-2-0_106081_2021-06-20_final
2021-07-01 09:41:56	ga_ls7e_ard_3-2-0_103077_2021-07-01_final
2021-07-09 10:30:17	ga_ls7e_ard_3-2-0_111076_2021-07-09_final
2021-07-09 10:31:29	ga_ls7e_ard_3-2-0_111079_2021-07-09_final
2021-07-12 09:24:03	ga_ls7e_ard_3-2-0_100081_2021-07-11_final
2021-07-15 09:51:06	ga_ls7e_ard_3-2-0_105072_2021-07-15_final
2021-07-20 08:32:44	ga_ls7e_ard_3-2-0_092078_2021-07-19_final
2021-07-26 09:34:24	ga_ls7e_ard_3-2-0_102079_2021-07-26_final
2021-07-31 09:51:42	ga_ls7e_ard_3-2-0_105077_2021-07-31_final
2021-08-09 09:43:32	ga_ls7e_ard_3-2-0_104074_2021-08-09_final
2021-08-11 09:32:36	ga_ls7e_ard_3-2-0_102078_2021-08-11_final
2021-08-17 08:56:10	ga_ls7e_ard_3-2-0_096081_2021-08-16_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-09-06 08:30:08	ga_ls7e_ard_3-2-0_092082_2021-09-05_final
2021-09-15 08:21:33	ga_ls7e_ard_3-2-0_091078_2021-09-14_final
2021-09-16 09:03:32	ga_ls7e_ard_3-2-0_098075_2021-09-15_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-10-06 08:33:50	ga_ls7e_ard_3-2-0_094067_2021-10-05_final
2021-10-16 09:12:50	ga_ls7e_ard_3-2-0_100074_2021-10-15_final
2021-10-19 09:45:03	ga_ls7e_ard_3-2-0_105078_2021-10-19_final
2021-10-20 08:49:20	ga_ls7e_ard_3-2-0_096078_2021-10-19_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-10-31 10:09:04	ga_ls7e_ard_3-2-0_109079_2021-10-31_final
2021-11-14 08:41:37	ga_ls7e_ard_3-2-1_095080_2021-11-13_final
2021-12-07 10:23:17	ga_ls7e_ard_3-2-1_112077_2021-12-07_final
2021-12-09 08:31:03	ga_ls7e_ard_3-2-1_094075_2021-12-08_final
2021-12-12 09:01:16	ga_ls7e_ard_3-2-1_099074_2021-12-11_final
2021-12-19 09:09:34	ga_ls7e_ard_3-2-1_100081_2021-12-18_final
2022-02-10 09:22:05	ga_ls7e_ard_3-2-1_103079_2022-02-09_final
2022-03-04 08:41:40	ga_ls7e_ard_3-2-1_097076_2022-03-03_final
2022-03-14 09:16:56	ga_ls7e_ard_3-2-1_103074_2022-03-13_final
2022-03-15 10:02:05	ga_ls7e_ard_3-2-1_110079_2022-03-15_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-03-25 08:56:56	ga_ls7e_ard_3-2-1_100073_2022-03-24_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