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
1999-11-02 09:42:04	ga_ls7e_ard_3-1-0_095079_1999-11-02_final
2000-02-18 11:45:29	ga_ls7e_ard_3-0-0_115079_2000-02-18_final
2000-03-25 09:44:59	ga_ls7e_ard_3-0-0_095087_2000-03-25_final
2000-09-01 09:38:52	ga_ls7e_ard_3-0-0_095076_2000-09-01_final
2000-10-01 11:31:41	ga_ls7e_ard_3-0-0_113081_2000-10-01_final
2000-10-08 11:35:25	ga_ls7e_ard_3-0-0_114075_2000-10-08_final
2000-10-17 11:30:35	ga_ls7e_ard_3-0-0_113079_2000-10-17_final
2001-04-27 11:32:07	ga_ls7e_ard_3-0-0_113083_2001-04-27_final
2001-06-21 11:36:30	ga_ls7e_ard_3-0-0_114080_2001-06-21_final
2001-07-16 11:30:11	ga_ls7e_ard_3-0-0_113080_2001-07-16_final
2002-07-26 11:33:40	ga_ls7e_ard_3-0-0_114076_2002-07-26_final
2004-06-29 11:34:26	ga_ls7e_ard_3-0-0_114076_2004-06-29_final
2004-09-28 09:37:23	ga_ls7e_ard_3-0-0_095078_2004-09-28_final
2005-01-18 09:37:24	ga_ls7e_ard_3-0-0_095076_2005-01-18_final
2005-04-08 09:38:01	ga_ls7e_ard_3-0-0_095077_2005-04-08_final
2005-08-12 11:29:47	ga_ls7e_ard_3-0-0_113079_2005-08-12_final
2006-12-07 09:39:19	ga_ls7e_ard_3-1-0_095079_2006-12-07_final
2007-02-25 09:40:28	ga_ls7e_ard_3-0-0_095081_2007-02-25_final
2007-04-30 09:38:51	ga_ls7e_ard_3-0-0_095077_2007-04-30_final
2007-05-16 09:39:10	ga_ls7e_ard_3-0-0_095078_2007-05-16_final
2007-07-19 09:41:23	ga_ls7e_ard_3-0-0_095084_2007-07-19_final
2008-01-27 09:39:08	ga_ls7e_ard_3-0-0_095078_2008-01-27_final
2009-07-04 11:43:10	ga_ls7e_ard_3-0-0_115079_2009-07-04_final
2010-05-20 11:44:54	ga_ls7e_ard_3-0-0_115079_2010-05-20_final
2010-06-25 09:39:22	ga_ls7e_ard_3-0-0_095074_2010-06-25_final
2010-06-25 09:40:58	ga_ls7e_ard_3-0-0_095078_2010-06-25_final
2010-07-11 09:40:37	ga_ls7e_ard_3-0-0_095077_2010-07-11_final
2011-01-19 09:42:07	ga_ls7e_ard_3-0-0_095078_2011-01-19_final
2011-04-09 09:42:01	ga_ls7e_ard_3-0-0_095077_2011-04-09_final
2011-04-14 11:39:02	ga_ls7e_ard_3-0-0_114076_2011-04-14_final
2011-08-15 09:41:24	ga_ls7e_ard_3-0-0_095076_2011-08-15_final
2011-09-16 09:42:04	ga_ls7e_ard_3-0-0_095078_2011-09-16_final
2012-04-27 09:45:56	ga_ls7e_ard_3-0-0_095085_2012-04-27_final
2012-08-01 09:44:08	ga_ls7e_ard_3-1-0_095079_2012-08-01_final
2012-09-02 09:43:43	ga_ls7e_ard_3-0-0_095077_2012-09-02_final
2012-11-05 09:44:38	ga_ls7e_ard_3-0-0_095078_2012-11-05_final
2013-02-25 09:43:45	ga_ls7e_ard_3-0-0_095075_2013-02-25_final
2013-08-20 09:45:20	ga_ls7e_ard_3-0-0_095081_2013-08-20_final
2013-09-05 09:44:20	ga_ls7e_ard_3-0-0_095078_2013-09-05_final
2014-05-03 09:46:01	ga_ls7e_ard_3-0-0_095078_2014-05-03_final
2014-11-27 09:49:31	ga_ls7e_ard_3-0-0_095084_2014-11-27_final
2015-03-19 09:48:12	ga_ls7e_ard_3-1-0_095079_2015-03-19_final
2015-04-04 09:48:18	ga_ls7e_ard_3-1-0_095079_2015-04-04_final
2015-08-08 11:40:16	ga_ls7e_ard_3-0-0_113079_2015-08-08_final
2015-09-25 11:40:00	ga_ls7e_ard_3-0-0_113078_2015-09-25_final
2015-09-27 09:48:22	ga_ls7e_ard_3-0-0_095077_2015-09-27_final
2016-05-29 11:47:54	ga_ls7e_ard_3-0-0_114076_2016-05-29_final
2016-08-26 11:45:06	ga_ls7e_ard_3-0-0_113084_2016-08-26_final
2016-10-13 11:43:12	ga_ls7e_ard_3-0-0_113079_2016-10-13_final
2016-10-15 09:50:21	ga_ls7e_ard_3-0-0_095075_2016-10-15_final
2016-12-18 09:51:13	ga_ls7e_ard_3-0-0_095078_2016-12-18_final
2017-01-03 09:51:04	ga_ls7e_ard_3-0-0_095078_2017-01-03_final
2017-08-15 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-08-15_final
2017-11-03 09:51:02	ga_ls7e_ard_3-0-0_095077_2017-11-03_final
2018-04-10 11:40:52	ga_ls7e_ard_3-0-0_113078_2018-04-10_final
2018-06-29 11:39:53	ga_ls7e_ard_3-0-0_113079_2018-06-29_final
2018-07-22 11:44:50	ga_ls7e_ard_3-0-0_114077_2018-07-22_final
2019-01-09 09:44:11	ga_ls7e_ard_3-1-0_095079_2019-01-09_final
2020-01-12 09:28:20	ga_ls7e_ard_3-1-0_095076_2020-01-11_final
2021-02-09 09:41:58	ga_ls7e_ard_3-2-0_101079_2021-02-09_final
2021-03-17 09:12:52	ga_ls7e_ard_3-2-0_097075_2021-03-16_final
2021-03-21 08:49:49	ga_ls7e_ard_3-2-0_093080_2021-03-20_final
2021-04-09 09:17:10	ga_ls7e_ard_3-2-0_098075_2021-04-08_final
2021-04-19 09:55:01	ga_ls7e_ard_3-2-0_104079_2021-04-19_final
2021-04-26 09:59:48	ga_ls7e_ard_3-2-0_105077_2021-04-26_final
2021-04-29 10:30:50	ga_ls7e_ard_3-2-0_110078_2021-04-29_final
2021-05-14 09:46:44	ga_ls7e_ard_3-2-0_103079_2021-05-14_final
2021-05-21 09:50:43	ga_ls7e_ard_3-2-0_104075_2021-05-21_final
2021-06-20 10:02:11	ga_ls7e_ard_3-2-0_106079_2021-06-20_final
2021-06-22 09:50:27	ga_ls7e_ard_3-2-0_104081_2021-06-22_final
2021-06-23 10:32:02	ga_ls7e_ard_3-2-0_111077_2021-06-23_final
2021-06-27 10:08:59	ga_ls7e_ard_3-2-0_107082_2021-06-27_final
2021-07-02 10:25:54	ga_ls7e_ard_3-2-0_110079_2021-07-02_final
2021-07-04 10:12:58	ga_ls7e_ard_3-2-0_108078_2021-07-04_final
2021-07-16 08:56:36	ga_ls7e_ard_3-2-0_096075_2021-07-15_final
2021-07-18 08:45:16	ga_ls7e_ard_3-2-0_094078_2021-07-17_final
2021-07-22 09:59:28	ga_ls7e_ard_3-2-0_106079_2021-07-22_final
2021-07-23 09:02:10	ga_ls7e_ard_3-2-0_097075_2021-07-22_final
2021-07-27 10:17:59	ga_ls7e_ard_3-2-0_109080_2021-07-27_final
2021-08-08 09:03:33	ga_ls7e_ard_3-2-0_097082_2021-08-07_final
2021-08-23 08:18:35	ga_ls7e_ard_3-2-0_090081_2021-08-22_final
2021-08-23 09:55:52	ga_ls7e_ard_3-2-0_106077_2021-08-23_final
2021-08-23 09:56:39	ga_ls7e_ard_3-2-0_106079_2021-08-23_final
2021-08-23 09:57:27	ga_ls7e_ard_3-2-0_106081_2021-08-23_final
2021-08-27 09:31:36	ga_ls7e_ard_3-2-0_102079_2021-08-27_final
2021-09-06 08:28:56	ga_ls7e_ard_3-2-0_092079_2021-09-05_final
2021-09-09 09:01:10	ga_ls7e_ard_3-2-0_097083_2021-09-08_final
2021-10-06 08:37:50	ga_ls7e_ard_3-2-0_094077_2021-10-05_final
2021-10-10 08:14:21	ga_ls7e_ard_3-2-0_090081_2021-10-09_final
2021-10-14 09:26:10	ga_ls7e_ard_3-2-0_102076_2021-10-13_final
2021-10-21 09:31:19	ga_ls7e_ard_3-2-0_103075_2021-10-21_final
2021-10-22 10:15:41	ga_ls7e_ard_3-2-0_110078_2021-10-22_final
2021-11-23 08:32:57	ga_ls7e_ard_3-2-1_094076_2021-11-22_final
2021-12-07 08:44:00	ga_ls7e_ard_3-2-1_096076_2021-12-06_final
2022-02-04 09:59:47	ga_ls7e_ard_3-2-1_109079_2022-02-04_final
2022-02-11 08:24:46	ga_ls7e_ard_3-2-1_094075_2022-02-10_final
2022-02-11 08:25:10	ga_ls7e_ard_3-2-1_094076_2022-02-10_final
2022-02-12 09:09:31	ga_ls7e_ard_3-2-1_101079_2022-02-11_final
2022-02-20 09:58:10	ga_ls7e_ard_3-2-1_109079_2022-02-20_final
2022-03-21 09:24:26	ga_ls7e_ard_3-2-1_104079_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