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
1999-10-17 09:39:21	ga_ls7e_ard_3-0-0_095072_1999-10-17_final
2001-02-04 11:41:39	ga_ls7e_ard_3-0-0_115075_2001-02-04_final
2001-04-25 11:41:16	ga_ls7e_ard_3-0-0_115075_2001-04-25_final
2002-01-29 11:47:22	ga_ls7e_ard_3-0-0_116078_2002-01-29_final
2002-10-05 11:38:55	ga_ls7e_ard_3-0-0_115075_2002-10-05_final
2003-03-30 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-03-30_final
2003-07-20 11:40:57	ga_ls7e_ard_3-0-0_115078_2003-07-20_final
2003-08-05 11:40:47	ga_ls7e_ard_3-0-0_115078_2003-08-05_final
2003-11-09 11:39:41	ga_ls7e_ard_3-0-0_115075_2003-11-09_final
2003-11-25 11:41:04	ga_ls7e_ard_3-0-0_115078_2003-11-25_final
2004-05-23 09:35:35	ga_ls7e_ard_3-0-0_095072_2004-05-23_final
2004-08-07 11:40:00	ga_ls7e_ard_3-0-0_115075_2004-08-07_final
2004-08-23 11:39:59	ga_ls7e_ard_3-0-0_115075_2004-08-23_final
2004-09-24 11:41:01	ga_ls7e_ard_3-0-0_115078_2004-09-24_final
2004-10-30 09:33:15	ga_ls7e_ard_3-0-0_095067_2004-10-30_final
2005-02-19 09:36:02	ga_ls7e_ard_3-0-0_095072_2005-02-19_final
2005-04-20 11:41:31	ga_ls7e_ard_3-1-0_115077_2005-04-20_final
2005-05-22 11:40:24	ga_ls7e_ard_3-0-0_115074_2005-05-22_final
2005-07-29 09:35:48	ga_ls7e_ard_3-0-0_095072_2005-07-29_final
2005-09-30 08:56:12	ga_ls7e_ard_3-0-0_088082_2005-09-29_final
2005-11-07 11:31:15	ga_ls7e_ard_3-0-0_114067_2005-11-07_final
2005-11-18 09:36:19	ga_ls7e_ard_3-1-0_095073_2005-11-18_final
2006-01-19 11:29:33	ga_ls7e_ard_3-0-0_113077_2006-01-19_final
2006-01-26 11:34:35	ga_ls7e_ard_3-0-0_114074_2006-01-26_final
2006-03-22 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-03-22_final
2006-06-10 11:42:25	ga_ls7e_ard_3-0-0_115078_2006-06-10_final
2006-07-16 09:34:11	ga_ls7e_ard_3-0-0_095067_2006-07-16_final
2006-10-19 08:56:16	ga_ls7e_ard_3-0-0_088081_2006-10-18_final
2007-05-12 11:41:36	ga_ls7e_ard_3-0-0_115075_2007-05-12_final
2007-10-21 11:31:30	ga_ls7e_ard_3-0-0_113082_2007-10-21_final
2008-11-06 11:41:26	ga_ls7e_ard_3-0-0_115078_2008-11-06_final
2009-10-28 09:39:09	ga_ls7e_ard_3-0-0_095078_2009-10-28_final
2009-11-28 08:57:30	ga_ls7e_ard_3-0-0_088081_2009-11-27_final
2010-01-16 09:43:55	ga_ls7e_ard_3-0-0_095087_2010-01-16_final
2010-07-10 08:59:21	ga_ls7e_ard_3-0-0_088082_2010-07-09_final
2010-10-27 11:44:54	ga_ls7e_ard_3-0-0_115078_2010-10-27_final
2011-01-19 09:40:07	ga_ls7e_ard_3-1-0_095073_2011-01-19_final
2011-01-24 11:37:59	ga_ls7e_ard_3-0-0_114074_2011-01-24_final
2011-08-31 09:40:10	ga_ls7e_ard_3-1-0_095073_2011-08-31_final
2012-01-21 09:01:08	ga_ls7e_ard_3-0-0_088082_2012-01-20_final
2012-02-19 11:46:56	ga_ls7e_ard_3-0-0_115079_2012-02-19_final
2012-02-23 09:46:32	ga_ls7e_ard_3-0-0_095087_2012-02-23_final
2012-05-29 09:46:05	ga_ls7e_ard_3-0-0_095085_2012-05-29_final
2012-07-14 11:36:48	ga_ls7e_ard_3-0-0_113083_2012-07-14_final
2012-10-19 09:02:31	ga_ls7e_ard_3-0-0_088081_2012-10-18_final
2012-11-21 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-11-21_final
2013-06-15 11:38:06	ga_ls7e_ard_3-0-0_113084_2013-06-15_final
2014-01-10 09:03:10	ga_ls7e_ard_3-0-0_088081_2014-01-09_final
2014-05-01 11:39:39	ga_ls7e_ard_3-0-0_113084_2014-05-01_final
2015-01-19 11:45:58	ga_ls7e_ard_3-0-0_114081_2015-01-19_final
2015-07-09 09:51:42	ga_ls7e_ard_3-0-0_095086_2015-07-09_final
2016-03-05 09:46:25	ga_ls7e_ard_3-0-0_095067_2016-03-05_final
2017-01-15 11:54:33	ga_ls7e_ard_3-0-0_115078_2017-01-15_final
2017-10-18 09:47:03	ga_ls7e_ard_3-0-0_095067_2017-10-18_final
2017-11-19 09:49:23	ga_ls7e_ard_3-1-0_095073_2017-11-19_final
2018-05-28 11:40:52	ga_ls7e_ard_3-0-0_113080_2018-05-28_final
2018-07-29 11:51:17	ga_ls7e_ard_3-0-0_115078_2018-07-29_final
2018-10-05 09:49:26	ga_ls7e_ard_3-0-0_095086_2018-10-05_final
2019-02-06 11:46:30	ga_ls7e_ard_3-0-0_115078_2019-02-06_final
2020-01-08 11:31:44	ga_ls7e_ard_3-1-0_115075_2020-01-08_final
2020-05-03 09:18:40	ga_ls7e_ard_3-1-0_095067_2020-05-02_final
2020-06-04 09:24:18	ga_ls7e_ard_3-1-0_095086_2020-06-03_final
2020-08-21 11:06:00	ga_ls7e_ard_3-1-0_113074_2020-08-21_final
2020-12-13 09:04:17	ga_ls7e_ard_3-1-0_095067_2020-12-12_final
2021-02-27 09:25:27	ga_ls7e_ard_3-2-0_099072_2021-02-26_final
2021-03-13 09:41:06	ga_ls7e_ard_3-2-0_101083_2021-03-13_final
2021-03-22 09:29:25	ga_ls7e_ard_3-2-0_100071_2021-03-21_final
2021-05-11 09:15:41	ga_ls7e_ard_3-2-0_098078_2021-05-10_final
2021-05-24 08:42:05	ga_ls7e_ard_3-2-0_093074_2021-05-23_final
2021-05-29 09:04:59	ga_ls7e_ard_3-2-0_096086_2021-05-28_final
2021-06-14 08:57:17	ga_ls7e_ard_3-2-0_096070_2021-06-13_final
2021-06-29 08:16:46	ga_ls7e_ard_3-2-0_089080_2021-06-28_final
2021-07-05 09:13:17	ga_ls7e_ard_3-2-0_099068_2021-07-04_final
2021-07-11 08:42:52	ga_ls7e_ard_3-2-0_093086_2021-07-10_final
2021-07-19 09:28:26	ga_ls7e_ard_3-2-0_101078_2021-07-18_final
2021-08-07 09:53:41	ga_ls7e_ard_3-2-0_106068_2021-08-07_final
2021-08-15 09:03:08	ga_ls7e_ard_3-2-0_098067_2021-08-14_final
2021-08-26 10:28:54	ga_ls7e_ard_3-2-0_111083_2021-08-26_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-08 09:53:41	ga_ls7e_ard_3-2-0_106075_2021-09-08_final
2021-09-16 09:00:20	ga_ls7e_ard_3-2-0_098067_2021-09-15_final
2021-09-20 08:37:39	ga_ls7e_ard_3-2-0_094073_2021-09-19_final
2021-10-06 10:19:30	ga_ls7e_ard_3-2-0_110084_2021-10-06_final
2021-10-18 10:36:22	ga_ls7e_ard_3-2-0_114067_2021-10-18_final
2021-10-19 09:44:15	ga_ls7e_ard_3-2-0_105076_2021-10-19_final
2021-10-29 08:39:57	ga_ls7e_ard_3-2-0_095072_2021-10-28_final
2021-11-04 09:42:23	ga_ls7e_ard_3-2-0_105075_2021-11-04_final
2021-11-10 09:03:08	ga_ls7e_ard_3-2-0_099071_2021-11-09_final
2021-11-12 08:49:46	ga_ls7e_ard_3-2-0_097069_2021-11-11_final
2021-11-18 08:14:54	ga_ls7e_ard_3-2-1_091076_2021-11-17_final
2021-11-19 08:54:28	ga_ls7e_ard_3-2-1_098067_2021-11-18_final
2021-11-21 10:23:35	ga_ls7e_ard_3-2-1_112074_2021-11-21_final
2021-12-13 08:06:45	ga_ls7e_ard_3-2-1_090077_2021-12-12_final
2022-01-10 10:05:36	ga_ls7e_ard_3-2-1_110072_2022-01-10_final
2022-01-20 09:04:27	ga_ls7e_ard_3-2-1_100076_2022-01-19_final
2022-01-21 09:45:37	ga_ls7e_ard_3-2-1_107071_2022-01-21_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-01-29 08:58:35	ga_ls7e_ard_3-2-1_099079_2022-01-28_final
2022-02-04 10:01:47	ga_ls7e_ard_3-2-1_109084_2022-02-04_final
2022-02-28 09:04:46	ga_ls7e_ard_3-2-1_101071_2022-02-27_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