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
1999-12-25 11:39:52	ga_ls7e_ard_3-0-0_114080_1999-12-25_final
2000-11-09 11:35:44	ga_ls7e_ard_3-0-0_114076_2000-11-09_final
2001-01-12 11:36:42	ga_ls7e_ard_3-0-0_114078_2001-01-12_final
2001-11-07 09:32:49	ga_ls7e_ard_3-0-0_095067_2001-11-07_final
2002-02-11 09:38:06	ga_ls7e_ard_3-1-0_095079_2002-02-11_final
2002-02-27 09:38:09	ga_ls7e_ard_3-1-0_095079_2002-02-27_final
2003-05-05 09:36:46	ga_ls7e_ard_3-0-0_095076_2003-05-05_final
2003-10-12 09:36:53	ga_ls7e_ard_3-0-0_095078_2003-10-12_final
2004-09-12 09:37:27	ga_ls7e_ard_3-0-0_095078_2004-09-12_final
2004-09-12 09:37:51	ga_ls7e_ard_3-1-0_095079_2004-09-12_final
2005-04-13 11:35:24	ga_ls7e_ard_3-0-0_114077_2005-04-13_final
2006-08-06 11:35:07	ga_ls7e_ard_3-0-0_114076_2006-08-06_final
2006-08-17 09:38:52	ga_ls7e_ard_3-1-0_095079_2006-08-17_final
2006-08-17 09:39:16	ga_ls7e_ard_3-0-0_095080_2006-08-17_final
2006-11-21 09:39:11	ga_ls7e_ard_3-1-0_095079_2006-11-21_final
2007-08-09 11:35:30	ga_ls7e_ard_3-0-0_114076_2007-08-09_final
2007-09-21 09:38:59	ga_ls7e_ard_3-1-0_095079_2007-09-21_final
2008-07-26 11:34:42	ga_ls7e_ard_3-0-0_114076_2008-07-26_final
2009-04-19 09:39:09	ga_ls7e_ard_3-0-0_095078_2009-04-19_final
2009-07-24 09:39:05	ga_ls7e_ard_3-0-0_095078_2009-07-24_final
2010-09-13 09:42:17	ga_ls7e_ard_3-0-0_095081_2010-09-13_final
2011-04-25 09:43:12	ga_ls7e_ard_3-0-0_095080_2011-04-25_final
2011-08-04 11:40:52	ga_ls7e_ard_3-0-0_114081_2011-08-04_final
2011-08-15 09:41:48	ga_ls7e_ard_3-0-0_095077_2011-08-15_final
2012-04-27 09:43:57	ga_ls7e_ard_3-0-0_095080_2012-04-27_final
2012-10-04 09:44:49	ga_ls7e_ard_3-1-0_095079_2012-10-04_final
2012-12-07 09:45:11	ga_ls7e_ard_3-1-0_095079_2012-12-07_final
2013-01-04 11:48:10	ga_ls7e_ard_3-1-0_115077_2013-01-04_final
2013-04-30 09:43:55	ga_ls7e_ard_3-0-0_095076_2013-04-30_final
2014-04-01 09:46:10	ga_ls7e_ard_3-1-0_095079_2014-04-01_final
2014-04-06 11:42:24	ga_ls7e_ard_3-0-0_114076_2014-04-06_final
2015-01-14 09:47:46	ga_ls7e_ard_3-1-0_095079_2015-01-14_final
2015-03-19 09:46:12	ga_ls7e_ard_3-0-0_095074_2015-03-19_final
2015-03-19 09:47:00	ga_ls7e_ard_3-0-0_095076_2015-03-19_final
2015-03-19 09:49:00	ga_ls7e_ard_3-0-0_095081_2015-03-19_final
2015-05-22 09:48:39	ga_ls7e_ard_3-1-0_095079_2015-05-22_final
2015-08-31 11:46:03	ga_ls7e_ard_3-0-0_114078_2015-08-31_final
2015-11-14 09:47:54	ga_ls7e_ard_3-0-0_095074_2015-11-14_final
2016-02-02 09:49:25	ga_ls7e_ard_3-0-0_095075_2016-02-02_final
2016-06-09 09:50:56	ga_ls7e_ard_3-0-0_095077_2016-06-09_final
2016-12-02 09:51:18	ga_ls7e_ard_3-0-0_095078_2016-12-02_final
2017-02-20 09:51:36	ga_ls7e_ard_3-0-0_095080_2017-02-20_final
2017-06-12 09:51:24	ga_ls7e_ard_3-0-0_095078_2017-06-12_final
2017-08-15 09:51:00	ga_ls7e_ard_3-0-0_095077_2017-08-15_final
2018-02-07 09:50:47	ga_ls7e_ard_3-1-0_095079_2018-02-07_final
2018-04-28 09:48:31	ga_ls7e_ard_3-0-0_095076_2018-04-28_final
2018-07-17 09:47:53	ga_ls7e_ard_3-0-0_095078_2018-07-17_final
2018-08-18 09:48:30	ga_ls7e_ard_3-0-0_095081_2018-08-18_final
2018-10-21 09:45:52	ga_ls7e_ard_3-0-0_095078_2018-10-21_final
2019-06-18 09:38:18	ga_ls7e_ard_3-0-0_095078_2019-06-18_final
2020-05-24 11:18:23	ga_ls7e_ard_3-1-0_114076_2020-05-24_final
2021-03-10 10:47:19	ga_ls7e_ard_3-2-0_112078_2021-03-10_final
2021-03-19 10:41:13	ga_ls7e_ard_3-2-0_111080_2021-03-19_final
2021-03-23 10:15:23	ga_ls7e_ard_3-2-0_107078_2021-03-23_final
2021-03-26 09:06:46	ga_ls7e_ard_3-2-0_096077_2021-03-25_final
2021-03-26 09:08:46	ga_ls7e_ard_3-2-0_096082_2021-03-25_final
2021-04-01 10:10:04	ga_ls7e_ard_3-2-0_106082_2021-04-01_final
2021-04-02 09:11:58	ga_ls7e_ard_3-2-0_097076_2021-04-01_final
2021-04-02 10:50:27	ga_ls7e_ard_3-2-0_113075_2021-04-02_final
2021-04-13 08:53:43	ga_ls7e_ard_3-2-0_094079_2021-04-12_final
2021-04-18 10:49:31	ga_ls7e_ard_3-2-0_113076_2021-04-18_final
2021-04-18 10:49:55	ga_ls7e_ard_3-2-0_113077_2021-04-18_final
2021-04-27 09:03:17	ga_ls7e_ard_3-2-0_096075_2021-04-26_final
2021-04-29 08:51:58	ga_ls7e_ard_3-2-0_094078_2021-04-28_final
2021-05-03 10:05:23	ga_ls7e_ard_3-2-0_106077_2021-05-03_final
2021-05-05 09:50:04	ga_ls7e_ard_3-2-0_104070_2021-05-05_final
2021-05-13 09:02:21	ga_ls7e_ard_3-2-0_096076_2021-05-12_final
2021-05-13 09:04:21	ga_ls7e_ard_3-2-0_096081_2021-05-12_final
2021-05-27 09:12:20	ga_ls7e_ard_3-2-0_098073_2021-05-26_final
2021-06-11 08:29:49	ga_ls7e_ard_3-2-0_091078_2021-06-10_final
2021-08-04 09:28:14	ga_ls7e_ard_3-2-0_101081_2021-08-03_final
2021-08-11 09:31:48	ga_ls7e_ard_3-2-0_102076_2021-08-11_final
2021-08-12 08:38:05	ga_ls7e_ard_3-2-0_093081_2021-08-11_final
2021-08-29 09:19:28	ga_ls7e_ard_3-2-0_100080_2021-08-28_final
2021-09-05 09:21:51	ga_ls7e_ard_3-2-0_101072_2021-09-04_final
2021-09-08 08:17:12	ga_ls7e_ard_3-2-0_090081_2021-09-07_final
2021-09-10 09:39:33	ga_ls7e_ard_3-2-0_104071_2021-09-10_final
2021-09-20 10:18:32	ga_ls7e_ard_3-2-0_110078_2021-09-20_final
2021-10-03 09:46:52	ga_ls7e_ard_3-2-0_105079_2021-10-03_final
2021-10-14 09:26:34	ga_ls7e_ard_3-2-0_102077_2021-10-13_final
2021-10-21 09:29:43	ga_ls7e_ard_3-2-0_103071_2021-10-20_final
2021-11-04 09:43:58	ga_ls7e_ard_3-2-0_105079_2021-11-04_final
2021-11-05 10:27:08	ga_ls7e_ard_3-2-0_112079_2021-11-05_final
2021-11-07 08:35:43	ga_ls7e_ard_3-2-0_094079_2021-11-06_final
2021-11-28 08:51:01	ga_ls7e_ard_3-2-1_097076_2021-11-27_final
2021-11-29 09:32:59	ga_ls7e_ard_3-2-1_104073_2021-11-29_final
2021-12-01 09:22:50	ga_ls7e_ard_3-2-1_102079_2021-11-30_final
2021-12-14 10:29:35	ga_ls7e_ard_3-2-1_113079_2021-12-14_final
2021-12-22 09:38:58	ga_ls7e_ard_3-2-1_105078_2021-12-22_final
2021-12-29 09:44:51	ga_ls7e_ard_3-2-1_106079_2021-12-29_final
2022-01-06 08:55:24	ga_ls7e_ard_3-2-1_098081_2022-01-05_final
2022-01-09 09:25:14	ga_ls7e_ard_3-2-1_103079_2022-01-08_final
2022-01-30 09:42:33	ga_ls7e_ard_3-2-1_106081_2022-01-30_final
2022-02-07 08:49:54	ga_ls7e_ard_3-2-1_098075_2022-02-06_final
2022-02-19 09:14:36	ga_ls7e_ard_3-2-1_102078_2022-02-18_final
2022-02-28 09:07:58	ga_ls7e_ard_3-2-1_101079_2022-02-27_final
2022-03-04 08:39:40	ga_ls7e_ard_3-2-1_097071_2022-03-03_final
2022-03-08 08:16:57	ga_ls7e_ard_3-2-1_093077_2022-03-07_final
2022-03-18 08:52:12	ga_ls7e_ard_3-2-1_099075_2022-03-17_final
2022-03-21 09:25:13	ga_ls7e_ard_3-2-1_104081_2022-03-20_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