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
1999-12-20 09:44:07	ga_ls7e_ard_3-0-0_095084_1999-12-20_final
2000-03-25 09:42:11	ga_ls7e_ard_3-0-0_095080_2000-03-25_final
2000-09-13 11:41:27	ga_ls7e_ard_3-0-0_115074_2000-09-13_final
2000-12-06 09:41:05	ga_ls7e_ard_3-0-0_095083_2000-12-06_final
2001-01-07 09:38:26	ga_ls7e_ard_3-0-0_095076_2001-01-07_final
2002-02-11 09:36:55	ga_ls7e_ard_3-0-0_095076_2002-02-11_final
2002-03-31 09:36:47	ga_ls7e_ard_3-0-0_095076_2002-03-31_final
2002-09-23 09:39:22	ga_ls7e_ard_3-0-0_095085_2002-09-23_final
2002-11-06 11:38:41	ga_ls7e_ard_3-0-0_115074_2002-11-06_final
2003-01-29 09:40:06	ga_ls7e_ard_3-0-0_095085_2003-01-29_final
2003-04-03 09:40:19	ga_ls7e_ard_3-0-0_095085_2003-04-03_final
2004-10-14 09:36:59	ga_ls7e_ard_3-0-0_095077_2004-10-14_final
2004-12-01 09:38:18	ga_ls7e_ard_3-1-0_095079_2004-12-01_final
2005-03-07 09:38:53	ga_ls7e_ard_3-1-0_095079_2005-03-07_final
2005-07-29 09:37:48	ga_ls7e_ard_3-0-0_095077_2005-07-29_final
2005-10-01 09:37:04	ga_ls7e_ard_3-0-0_095076_2005-10-01_final
2006-05-25 11:42:52	ga_ls7e_ard_3-0-0_115079_2006-05-25_final
2008-06-19 09:39:42	ga_ls7e_ard_3-0-0_095081_2008-06-19_final
2008-07-05 09:38:19	ga_ls7e_ard_3-0-0_095078_2008-07-05_final
2008-07-21 09:38:07	ga_ls7e_ard_3-0-0_095078_2008-07-21_final
2008-11-10 09:37:29	ga_ls7e_ard_3-0-0_095077_2008-11-10_final
2009-07-24 09:39:53	ga_ls7e_ard_3-0-0_095080_2009-07-24_final
2009-09-10 09:39:22	ga_ls7e_ard_3-1-0_095079_2009-09-10_final
2010-01-16 09:40:43	ga_ls7e_ard_3-1-0_095079_2010-01-16_final
2010-02-17 09:41:08	ga_ls7e_ard_3-1-0_095079_2010-02-17_final
2010-12-02 09:42:07	ga_ls7e_ard_3-1-0_095079_2010-12-02_final
2011-03-08 09:41:33	ga_ls7e_ard_3-0-0_095076_2011-03-08_final
2011-08-31 09:41:46	ga_ls7e_ard_3-0-0_095077_2011-08-31_final
2011-11-19 09:43:37	ga_ls7e_ard_3-0-0_095081_2011-11-19_final
2011-12-21 09:43:29	ga_ls7e_ard_3-0-0_095080_2011-12-21_final
2012-02-07 09:44:05	ga_ls7e_ard_3-0-0_095081_2012-02-07_final
2012-10-20 09:45:47	ga_ls7e_ard_3-0-0_095081_2012-10-20_final
2013-06-17 09:45:39	ga_ls7e_ard_3-0-0_095081_2013-06-17_final
2014-01-27 09:45:12	ga_ls7e_ard_3-0-0_095077_2014-01-27_final
2014-08-23 09:44:49	ga_ls7e_ard_3-0-0_095074_2014-08-23_final
2014-11-11 09:42:40	ga_ls7e_ard_3-0-0_095067_2014-11-11_final
2015-04-20 09:48:01	ga_ls7e_ard_3-0-0_095078_2015-04-20_final
2015-05-02 11:52:07	ga_ls7e_ard_3-0-0_115079_2015-05-02_final
2015-05-06 09:46:56	ga_ls7e_ard_3-0-0_095075_2015-05-06_final
2015-08-10 09:48:37	ga_ls7e_ard_3-0-0_095078_2015-08-10_final
2017-02-04 09:51:59	ga_ls7e_ard_3-0-0_095081_2017-02-04_final
2017-06-12 09:51:00	ga_ls7e_ard_3-0-0_095077_2017-06-12_final
2017-11-03 09:51:26	ga_ls7e_ard_3-0-0_095078_2017-11-03_final
2018-04-28 09:48:55	ga_ls7e_ard_3-0-0_095077_2018-04-28_final
2018-09-03 09:46:11	ga_ls7e_ard_3-0-0_095076_2018-09-03_final
2018-09-19 09:46:38	ga_ls7e_ard_3-0-0_095078_2018-09-19_final
2019-01-09 09:43:23	ga_ls7e_ard_3-0-0_095077_2019-01-09_final
2019-06-02 09:37:17	ga_ls7e_ard_3-0-0_095074_2019-06-02_final
2019-07-04 09:36:54	ga_ls7e_ard_3-0-0_095076_2019-07-04_final
2019-07-20 09:37:29	ga_ls7e_ard_3-1-0_095079_2019-07-20_final
2020-02-29 09:26:17	ga_ls7e_ard_3-1-0_095077_2020-02-28_final
2020-03-16 09:25:01	ga_ls7e_ard_3-1-0_095076_2020-03-15_final
2020-09-24 09:12:55	ga_ls7e_ard_3-1-0_095075_2020-09-23_final
2020-12-13 09:08:40	ga_ls7e_ard_3-1-0_095078_2020-12-12_final
2021-03-10 09:08:03	ga_ls7e_ard_3-2-0_096077_2021-03-09_final
2021-03-18 09:56:03	ga_ls7e_ard_3-2-0_104075_2021-03-18_final
2021-03-21 08:48:38	ga_ls7e_ard_3-2-0_093077_2021-03-20_final
2021-03-24 10:57:46	ga_ls7e_ard_3-2-0_114076_2021-03-24_final
2021-04-05 09:41:02	ga_ls7e_ard_3-2-0_102072_2021-04-05_final
2021-04-11 09:06:15	ga_ls7e_ard_3-2-0_096079_2021-04-10_final
2021-04-27 09:04:29	ga_ls7e_ard_3-2-0_096078_2021-04-26_final
2021-04-27 10:43:22	ga_ls7e_ard_3-2-0_112078_2021-04-27_final
2021-04-27 10:44:10	ga_ls7e_ard_3-2-0_112080_2021-04-27_final
2021-05-09 09:26:13	ga_ls7e_ard_3-2-0_100073_2021-05-08_final
2021-05-29 09:02:11	ga_ls7e_ard_3-2-0_096079_2021-05-28_final
2021-05-31 08:49:15	ga_ls7e_ard_3-2-0_094078_2021-05-30_final
2021-06-07 10:33:20	ga_ls7e_ard_3-2-0_111077_2021-06-07_final
2021-06-28 10:49:45	ga_ls7e_ard_3-2-0_114076_2021-06-28_final
2021-06-29 09:56:03	ga_ls7e_ard_3-2-0_105081_2021-06-29_final
2021-07-07 10:44:25	ga_ls7e_ard_3-2-0_113080_2021-07-07_final
2021-07-25 08:50:02	ga_ls7e_ard_3-2-0_095076_2021-07-24_final
2021-07-27 08:39:30	ga_ls7e_ard_3-2-0_093081_2021-07-26_final
2021-08-10 08:49:25	ga_ls7e_ard_3-2-0_095078_2021-08-09_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-08-12 10:16:10	ga_ls7e_ard_3-2-0_109079_2021-08-12_final
2021-08-15 09:05:31	ga_ls7e_ard_3-2-0_098073_2021-08-14_final
2021-09-03 09:35:10	ga_ls7e_ard_3-2-0_103074_2021-09-03_final
2021-09-19 09:35:21	ga_ls7e_ard_3-2-0_103078_2021-09-19_final
2021-10-03 09:44:28	ga_ls7e_ard_3-2-0_105073_2021-10-03_final
2021-10-03 09:46:04	ga_ls7e_ard_3-2-0_105077_2021-10-03_final
2021-10-14 09:26:58	ga_ls7e_ard_3-2-0_102078_2021-10-13_final
2021-10-26 09:50:12	ga_ls7e_ard_3-2-0_106077_2021-10-26_final
2021-10-30 09:25:06	ga_ls7e_ard_3-2-0_102077_2021-10-29_final
2021-11-14 08:40:49	ga_ls7e_ard_3-2-1_095078_2021-11-13_final
2021-11-30 10:18:57	ga_ls7e_ard_3-2-1_111080_2021-11-30_final
2021-12-05 08:58:57	ga_ls7e_ard_3-2-1_098082_2021-12-04_final
2021-12-16 10:17:26	ga_ls7e_ard_3-2-1_111080_2021-12-16_final
2021-12-27 09:56:37	ga_ls7e_ard_3-2-1_108077_2021-12-27_final
2022-01-05 09:51:07	ga_ls7e_ard_3-2-1_107081_2022-01-05_final
2022-01-11 09:11:29	ga_ls7e_ard_3-2-1_101076_2022-01-10_final
2022-01-15 08:46:47	ga_ls7e_ard_3-2-1_097077_2022-01-14_final
2022-01-17 08:33:51	ga_ls7e_ard_3-2-1_095076_2022-01-16_final
2022-01-19 10:01:46	ga_ls7e_ard_3-2-1_109080_2022-01-19_final
2022-02-04 10:00:11	ga_ls7e_ard_3-2-1_109080_2022-02-04_final
2022-02-04 10:00:35	ga_ls7e_ard_3-2-1_109081_2022-02-04_final
2022-02-17 09:24:21	ga_ls7e_ard_3-2-1_104071_2022-02-16_final
2022-02-23 08:47:31	ga_ls7e_ard_3-2-1_098073_2022-02-22_final
2022-03-12 09:31:54	ga_ls7e_ard_3-2-1_105080_2022-03-12_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_final
2022-03-21 09:22:50	ga_ls7e_ard_3-2-1_104075_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