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
2000-01-05 09:39:14	ga_ls7e_ard_3-0-0_095072_2000-01-05_final
2000-05-08 11:44:10	ga_ls7e_ard_3-1-0_115077_2000-05-08_final
2000-09-17 09:34:57	ga_ls7e_ard_3-0-0_095067_2000-09-17_final
2001-01-23 09:36:56	ga_ls7e_ard_3-0-0_095072_2001-01-23_final
2001-03-27 08:57:18	ga_ls7e_ard_3-0-0_088082_2001-03-26_final
2001-09-09 11:33:13	ga_ls7e_ard_3-0-0_114074_2001-09-09_final
2001-12-05 11:40:52	ga_ls7e_ard_3-0-0_115078_2001-12-05_final
2002-04-28 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-28_final
2002-05-30 11:41:01	ga_ls7e_ard_3-0-0_115078_2002-05-30_final
2003-05-12 11:23:47	ga_ls7e_ard_3-0-0_112081_2003-05-12_final
2003-05-17 11:41:06	ga_ls7e_ard_3-0-0_115078_2003-05-17_final
2003-07-24 09:40:30	ga_ls7e_ard_3-0-0_095086_2003-07-24_final
2003-11-25 11:39:53	ga_ls7e_ard_3-0-0_115075_2003-11-25_final
2003-12-29 11:29:44	ga_ls7e_ard_3-1-0_113080_2003-12-29_final
2004-03-16 11:42:04	ga_ls7e_ard_3-0-0_115079_2004-03-16_final
2004-03-19 08:56:24	ga_ls7e_ard_3-0-0_088082_2004-03-18_final
2004-08-11 09:36:00	ga_ls7e_ard_3-0-0_095074_2004-08-11_final
2004-11-14 08:56:04	ga_ls7e_ard_3-0-0_088082_2004-11-13_final
2005-05-06 11:40:25	ga_ls7e_ard_3-0-0_115074_2005-05-06_final
2005-12-02 11:28:02	ga_ls7e_ard_3-0-0_113074_2005-12-02_final
2005-12-25 11:34:42	ga_ls7e_ard_3-0-0_114075_2005-12-25_final
2006-10-03 08:56:08	ga_ls7e_ard_3-0-0_088081_2006-10-02_final
2006-11-21 09:36:24	ga_ls7e_ard_3-0-0_095072_2006-11-21_final
2006-11-21 09:36:48	ga_ls7e_ard_3-1-0_095073_2006-11-21_final
2007-02-05 11:41:10	ga_ls7e_ard_3-0-0_115074_2007-02-05_final
2007-04-14 09:42:30	ga_ls7e_ard_3-0-0_095086_2007-04-14_final
2007-10-12 11:34:22	ga_ls7e_ard_3-0-0_114074_2007-10-12_final
2009-01-09 11:42:04	ga_ls7e_ard_3-0-0_115078_2009-01-09_final
2009-04-15 11:42:45	ga_ls7e_ard_3-0-0_115078_2009-04-15_final
2009-10-17 11:34:48	ga_ls7e_ard_3-0-0_114074_2009-10-17_final
2009-12-15 09:37:47	ga_ls7e_ard_3-1-0_095073_2009-12-15_final
2010-03-20 08:59:17	ga_ls7e_ard_3-0-0_088082_2010-03-19_final
2010-06-09 09:38:32	ga_ls7e_ard_3-0-0_095072_2010-06-09_final
2011-02-16 11:45:27	ga_ls7e_ard_3-0-0_115077_2011-02-16_final
2011-04-07 11:32:04	ga_ls7e_ard_3-0-0_113074_2011-04-07_final
2011-05-07 11:46:01	ga_ls7e_ard_3-0-0_115078_2011-05-07_final
2011-08-13 11:35:27	ga_ls7e_ard_3-0-0_113083_2011-08-13_final
2012-06-10 11:46:22	ga_ls7e_ard_3-1-0_115077_2012-06-10_final
2012-11-28 11:31:27	ga_ls7e_ard_3-0-0_112082_2012-11-28_final
2013-09-01 11:47:53	ga_ls7e_ard_3-0-0_115078_2013-09-01_final
2013-10-07 09:47:54	ga_ls7e_ard_3-0-0_095086_2013-10-07_final
2014-02-11 09:03:58	ga_ls7e_ard_3-0-0_088082_2014-02-10_final
2014-02-12 09:43:13	ga_ls7e_ard_3-0-0_095072_2014-02-12_final
2014-02-27 09:03:51	ga_ls7e_ard_3-0-0_088082_2014-02-26_final
2014-04-01 09:43:23	ga_ls7e_ard_3-0-0_095072_2014-04-01_final
2014-09-07 09:04:47	ga_ls7e_ard_3-0-0_088082_2014-09-06_final
2014-09-23 09:04:28	ga_ls7e_ard_3-0-0_088081_2014-09-22_final
2014-10-25 09:04:50	ga_ls7e_ard_3-0-0_088081_2014-10-24_final
2014-12-09 11:50:00	ga_ls7e_ard_3-0-0_115076_2014-12-09_final
2014-12-20 11:34:47	ga_ls7e_ard_3-0-0_112084_2014-12-20_final
2015-01-30 09:51:03	ga_ls7e_ard_3-0-0_095087_2015-01-30_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2015-07-30 11:41:36	ga_ls7e_ard_3-0-0_114067_2015-07-30_final
2015-12-12 11:53:32	ga_ls7e_ard_3-0-0_115078_2015-12-12_final
2017-09-23 11:38:26	ga_ls7e_ard_3-0-0_112083_2017-09-23_final
2018-01-18 11:54:19	ga_ls7e_ard_3-0-0_115078_2018-01-18_final
2018-02-05 11:37:17	ga_ls7e_ard_3-0-0_113067_2018-02-05_final
2018-05-26 11:52:27	ga_ls7e_ard_3-0-0_115078_2018-05-26_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-06-11 11:50:35	ga_ls7e_ard_3-0-0_115074_2018-06-11_final
2018-07-17 09:51:05	ga_ls7e_ard_3-0-0_095086_2018-07-17_final
2019-01-23 11:35:46	ga_ls7e_ard_3-0-0_113081_2019-01-23_final
2019-06-18 09:35:55	ga_ls7e_ard_3-0-0_095072_2019-06-18_final
2020-06-02 11:12:04	ga_ls7e_ard_3-1-0_113077_2020-06-02_final
2020-06-04 09:24:18	ga_ls7e_ard_3-1-0_095086_2020-06-03_final
2020-06-20 09:17:47	ga_ls7e_ard_3-1-0_095072_2020-06-19_final
2020-08-05 11:10:37	ga_ls7e_ard_3-1-0_113083_2020-08-05_final
2020-08-07 09:12:52	ga_ls7e_ard_3-1-0_095067_2020-08-06_final
2020-10-06 11:16:58	ga_ls7e_ard_3-1-0_115078_2020-10-06_final
2020-12-09 11:11:46	ga_ls7e_ard_3-1-0_115076_2020-12-09_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-02-09 09:43:10	ga_ls7e_ard_3-2-0_101082_2021-02-09_final
2021-02-12 10:09:03	ga_ls7e_ard_3-2-0_106070_2021-02-12_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-05-01 08:43:26	ga_ls7e_ard_3-2-0_092088_2021-04-30_final
2021-05-31 08:44:52	ga_ls7e_ard_3-2-0_094067_2021-05-30_final
2021-06-01 09:34:25	ga_ls7e_ard_3-2-0_101083_2021-06-01_final
2021-06-09 08:45:32	ga_ls7e_ard_3-2-0_093086_2021-06-08_final
2021-06-14 09:03:16	ga_ls7e_ard_3-2-0_096085_2021-06-13_final
2021-06-16 10:29:13	ga_ls7e_ard_3-2-0_110084_2021-06-16_final
2021-07-14 09:12:43	ga_ls7e_ard_3-2-0_098084_2021-07-13_final
2021-07-15 09:51:54	ga_ls7e_ard_3-2-0_105074_2021-07-15_final
2021-07-21 09:16:18	ga_ls7e_ard_3-2-0_099079_2021-07-20_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-25 10:27:43	ga_ls7e_ard_3-2-0_111073_2021-07-25_final
2021-10-04 10:28:03	ga_ls7e_ard_3-2-0_112074_2021-10-04_final
2021-10-10 09:48:03	ga_ls7e_ard_3-2-0_106068_2021-10-10_final
2021-10-22 08:34:48	ga_ls7e_ard_3-2-0_094073_2021-10-21_final
2021-10-24 08:27:51	ga_ls7e_ard_3-2-0_092087_2021-10-23_final
2021-10-25 10:46:18	ga_ls7e_ard_3-2-0_115078_2021-10-25_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-11-26 09:05:10	ga_ls7e_ard_3-2-1_099080_2021-11-25_final
2021-12-24 09:24:01	ga_ls7e_ard_3-2-1_103072_2021-12-23_final
2022-01-14 08:07:13	ga_ls7e_ard_3-2-1_090086_2022-01-13_final
2022-01-29 08:57:48	ga_ls7e_ard_3-2-1_099077_2022-01-28_final
2022-02-05 09:00:53	ga_ls7e_ard_3-2-1_100071_2022-02-04_final
2022-02-22 09:47:37	ga_ls7e_ard_3-2-1_107084_2022-02-22_final
2022-03-08 08:20:08	ga_ls7e_ard_3-2-1_093085_2022-03-07_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-14 09:16:09	ga_ls7e_ard_3-2-1_103072_2022-03-13_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