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
1999-10-03 11:07:33	ga_ls7e_ard_3-0-0_109076_1999-10-03_final
2000-01-07 11:07:22	ga_ls7e_ard_3-0-0_109076_2000-01-07_final
2000-11-06 11:04:51	ga_ls7e_ard_3-0-0_109076_2000-11-06_final
2002-05-13 10:56:41	ga_ls7e_ard_3-1-0_108075_2002-05-13_final
2003-12-10 10:56:41	ga_ls7e_ard_3-0-0_108075_2003-12-10_final
2004-01-11 10:55:40	ga_ls7e_ard_3-0-0_108072_2004-01-11_final
2004-06-26 11:06:20	ga_ls7e_ard_3-0-0_109083_2004-06-26_final
2004-07-05 11:00:08	ga_ls7e_ard_3-0-0_108083_2004-07-05_final
2004-07-28 11:03:48	ga_ls7e_ard_3-0-0_109077_2004-07-28_final
2004-09-23 10:56:33	ga_ls7e_ard_3-1-0_108075_2004-09-23_final
2004-11-01 11:06:10	ga_ls7e_ard_3-0-0_109083_2004-11-01_final
2005-01-29 11:00:34	ga_ls7e_ard_3-0-0_108083_2005-01-29_final
2005-03-02 10:58:01	ga_ls7e_ard_3-0-0_108076_2005-03-02_final
2005-04-10 11:01:44	ga_ls7e_ard_3-0-0_109070_2005-04-10_final
2005-05-28 11:06:53	ga_ls7e_ard_3-0-0_109083_2005-05-28_final
2005-06-13 11:02:47	ga_ls7e_ard_3-0-0_109073_2005-06-13_final
2005-08-16 11:01:51	ga_ls7e_ard_3-0-0_109071_2005-08-16_final
2005-08-16 11:06:38	ga_ls7e_ard_3-0-0_109083_2005-08-16_final
2005-11-04 11:01:31	ga_ls7e_ard_3-0-0_109070_2005-11-04_final
2006-03-12 11:07:01	ga_ls7e_ard_3-0-0_109082_2006-03-12_final
2006-07-18 11:04:17	ga_ls7e_ard_3-0-0_109076_2006-07-18_final
2006-08-19 11:04:35	ga_ls7e_ard_3-0-0_109077_2006-08-19_final
2006-09-13 10:57:54	ga_ls7e_ard_3-0-0_108076_2006-09-13_final
2006-09-20 11:02:02	ga_ls7e_ard_3-0-0_109071_2006-09-20_final
2006-09-29 10:56:59	ga_ls7e_ard_3-0-0_108074_2006-09-29_final
2007-02-11 11:03:44	ga_ls7e_ard_3-0-0_109073_2007-02-11_final
2007-03-15 11:05:03	ga_ls7e_ard_3-0-0_109076_2007-03-15_final
2007-03-31 11:02:40	ga_ls7e_ard_3-0-0_109070_2007-03-31_final
2007-03-31 11:05:03	ga_ls7e_ard_3-0-0_109076_2007-03-31_final
2007-04-16 11:07:49	ga_ls7e_ard_3-0-0_109083_2007-04-16_final
2007-09-16 11:00:57	ga_ls7e_ard_3-0-0_108083_2007-09-16_final
2007-10-02 10:57:17	ga_ls7e_ard_3-0-0_108074_2007-10-02_final
2008-04-11 10:57:17	ga_ls7e_ard_3-0-0_108073_2008-04-11_final
2008-04-11 11:01:16	ga_ls7e_ard_3-0-0_108083_2008-04-11_final
2008-06-14 11:00:53	ga_ls7e_ard_3-0-0_108083_2008-06-14_final
2008-07-07 11:02:01	ga_ls7e_ard_3-0-0_109071_2008-07-07_final
2008-07-23 11:03:25	ga_ls7e_ard_3-0-0_109075_2008-07-23_final
2008-11-12 11:03:14	ga_ls7e_ard_3-0-0_109075_2008-11-12_final
2008-11-21 10:57:34	ga_ls7e_ard_3-0-0_108076_2008-11-21_final
2008-11-28 11:06:38	ga_ls7e_ard_3-0-0_109083_2008-11-28_final
2009-06-24 11:04:08	ga_ls7e_ard_3-0-0_109074_2009-06-24_final
2009-11-15 11:04:44	ga_ls7e_ard_3-0-0_109075_2009-11-15_final
2009-12-01 11:02:55	ga_ls7e_ard_3-0-0_109070_2009-12-01_final
2009-12-01 11:03:19	ga_ls7e_ard_3-0-0_109071_2009-12-01_final
2010-08-14 11:09:08	ga_ls7e_ard_3-0-0_109082_2010-08-14_final
2011-01-05 11:06:32	ga_ls7e_ard_3-0-0_109073_2011-01-05_final
2011-02-06 11:05:56	ga_ls7e_ard_3-0-0_109071_2011-02-06_final
2011-04-11 11:07:21	ga_ls7e_ard_3-0-0_109074_2011-04-11_final
2011-04-20 11:03:55	ga_ls7e_ard_3-0-0_108081_2011-04-20_final
2011-05-22 11:00:43	ga_ls7e_ard_3-0-0_108073_2011-05-22_final
2011-07-09 11:01:04	ga_ls7e_ard_3-0-0_108074_2011-07-09_final
2011-10-20 11:07:27	ga_ls7e_ard_3-0-0_109075_2011-10-20_final
2012-07-11 11:03:04	ga_ls7e_ard_3-0-0_108076_2012-07-11_final
2012-10-22 11:09:32	ga_ls7e_ard_3-0-0_109074_2012-10-22_final
2013-05-02 11:08:26	ga_ls7e_ard_3-0-0_109071_2013-05-02_final
2013-09-16 11:06:47	ga_ls7e_ard_3-0-0_108083_2013-09-16_final
2015-02-17 11:12:03	ga_ls7e_ard_3-0-0_109073_2015-02-17_final
2016-02-13 11:09:49	ga_ls7e_ard_3-1-0_108075_2016-02-13_final
2016-08-30 11:19:36	ga_ls7e_ard_3-0-0_109082_2016-08-30_final
2017-01-30 11:09:33	ga_ls7e_ard_3-0-0_108074_2017-01-30_final
2017-03-10 11:15:52	ga_ls7e_ard_3-0-0_109074_2017-03-10_final
2017-04-11 11:16:50	ga_ls7e_ard_3-0-0_109076_2017-04-11_final
2017-04-27 11:18:32	ga_ls7e_ard_3-0-0_109080_2017-04-27_final
2017-08-01 11:19:57	ga_ls7e_ard_3-0-0_109083_2017-08-01_final
2017-09-18 11:16:18	ga_ls7e_ard_3-0-0_109074_2017-09-18_final
2017-10-20 11:14:46	ga_ls7e_ard_3-0-0_109070_2017-10-20_final
2018-01-17 11:09:29	ga_ls7e_ard_3-0-0_108074_2018-01-17_final
2018-01-24 11:14:45	ga_ls7e_ard_3-0-0_109072_2018-01-24_final
2018-12-03 11:02:24	ga_ls7e_ard_3-0-0_108071_2018-12-03_final
2018-12-19 11:03:09	ga_ls7e_ard_3-0-0_108074_2018-12-19_final
2019-06-20 11:03:09	ga_ls7e_ard_3-0-0_109074_2019-06-20_final
2019-09-24 10:58:00	ga_ls7e_ard_3-1-0_109071_2019-09-24_final
2019-12-13 10:55:12	ga_ls7e_ard_3-1-0_109073_2019-12-13_final
2019-12-22 10:48:58	ga_ls7e_ard_3-1-0_108074_2019-12-22_final
2020-04-19 10:48:25	ga_ls7e_ard_3-1-0_109073_2020-04-19_final
2020-05-21 10:49:40	ga_ls7e_ard_3-1-0_109081_2020-05-21_final
2020-08-09 10:45:14	ga_ls7e_ard_3-1-0_109082_2020-08-09_final
2020-10-05 10:32:10	ga_ls7e_ard_3-1-0_108074_2020-10-05_final
2021-10-25 09:05:02	ga_ls7e_ard_3-2-0_099072_2021-10-24_final
2021-11-25 09:56:53	ga_ls7e_ard_3-2-1_108070_2021-11-25_final
2021-12-12 09:00:28	ga_ls7e_ard_3-2-1_099072_2021-12-11_final
2021-12-13 09:43:38	ga_ls7e_ard_3-2-1_106072_2021-12-13_final
2021-12-14 08:47:07	ga_ls7e_ard_3-2-1_097070_2021-12-13_final
2021-12-14 08:53:06	ga_ls7e_ard_3-2-1_097085_2021-12-13_final
2021-12-21 08:58:36	ga_ls7e_ard_3-2-1_098085_2021-12-20_final
2021-12-23 10:20:56	ga_ls7e_ard_3-2-1_112075_2021-12-23_final
2021-12-29 09:42:51	ga_ls7e_ard_3-2-1_106074_2021-12-29_final
2021-12-30 08:45:33	ga_ls7e_ard_3-2-1_097070_2021-12-29_final
2021-12-31 09:31:29	ga_ls7e_ard_3-2-1_104077_2021-12-31_final
2022-01-08 10:22:56	ga_ls7e_ard_3-2-1_112084_2022-01-08_final
2022-01-12 08:20:10	ga_ls7e_ard_3-2-1_092087_2022-01-11_final
2022-01-12 09:52:15	ga_ls7e_ard_3-2-1_108070_2022-01-12_final
2022-01-18 09:15:01	ga_ls7e_ard_3-2-1_102071_2022-01-17_final
2022-01-22 10:30:47	ga_ls7e_ard_3-2-1_114076_2022-01-22_final
2022-01-24 08:41:44	ga_ls7e_ard_3-2-1_096082_2022-01-23_final
2022-02-07 10:30:47	ga_ls7e_ard_3-2-1_114080_2022-02-07_final
2022-02-22 09:44:25	ga_ls7e_ard_3-2-1_107076_2022-02-22_final
2022-02-22 09:47:13	ga_ls7e_ard_3-2-1_107083_2022-02-22_final
2022-03-07 09:11:04	ga_ls7e_ard_3-2-1_102073_2022-03-06_final
2022-03-30 09:13:01	ga_ls7e_ard_3-2-1_103068_2022-03-29_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