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 09:39:45	ga_ls7e_ard_3-1-0_095073_1999-10-17_final
2000-05-28 09:38:45	ga_ls7e_ard_3-1-0_095073_2000-05-28_final
2000-09-13 11:41:51	ga_ls7e_ard_3-0-0_115075_2000-09-13_final
2001-01-03 11:42:47	ga_ls7e_ard_3-0-0_115078_2001-01-03_final
2001-07-18 09:35:44	ga_ls7e_ard_3-0-0_095072_2001-07-18_final
2001-08-31 11:41:06	ga_ls7e_ard_3-0-0_115078_2001-08-31_final
2001-12-25 09:35:06	ga_ls7e_ard_3-0-0_095072_2001-12-25_final
2002-04-12 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-12_final
2002-05-07 11:35:52	ga_ls7e_ard_3-0-0_114080_2002-05-07_final
2003-04-02 08:55:51	ga_ls7e_ard_3-0-0_088082_2003-04-01_final
2003-05-01 11:39:58	ga_ls7e_ard_3-0-0_115075_2003-05-01_final
2003-07-20 11:39:45	ga_ls7e_ard_3-0-0_115075_2003-07-20_final
2003-12-31 09:35:18	ga_ls7e_ard_3-0-0_095072_2003-12-31_final
2004-03-09 11:36:38	ga_ls7e_ard_3-0-0_114081_2004-03-09_final
2004-12-29 11:40:32	ga_ls7e_ard_3-0-0_115075_2004-12-29_final
2005-01-14 11:40:12	ga_ls7e_ard_3-0-0_115074_2005-01-14_final
2005-03-23 09:40:29	ga_ls7e_ard_3-0-0_095083_2005-03-23_final
2005-05-06 11:40:25	ga_ls7e_ard_3-0-0_115074_2005-05-06_final
2005-05-25 08:56:43	ga_ls7e_ard_3-0-0_088082_2005-05-24_final
2005-06-07 11:42:19	ga_ls7e_ard_3-0-0_115079_2005-06-07_final
2005-06-27 09:41:23	ga_ls7e_ard_3-0-0_095086_2005-06-27_final
2005-08-26 11:40:04	ga_ls7e_ard_3-0-0_115074_2005-08-26_final
2005-09-15 09:41:03	ga_ls7e_ard_3-0-0_095086_2005-09-15_final
2005-09-27 11:39:53	ga_ls7e_ard_3-0-0_115074_2005-09-27_final
2005-09-27 11:40:17	ga_ls7e_ard_3-0-0_115075_2005-09-27_final
2006-09-30 11:41:50	ga_ls7e_ard_3-0-0_115078_2006-09-30_final
2006-11-17 11:40:45	ga_ls7e_ard_3-0-0_115074_2006-11-17_final
2007-02-05 11:41:10	ga_ls7e_ard_3-0-0_115074_2007-02-05_final
2007-04-26 11:41:17	ga_ls7e_ard_3-0-0_115074_2007-04-26_final
2007-05-16 09:37:34	ga_ls7e_ard_3-0-0_095074_2007-05-16_final
2007-05-28 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-05-28_final
2007-07-15 11:42:12	ga_ls7e_ard_3-0-0_115077_2007-07-15_final
2007-11-04 11:42:49	ga_ls7e_ard_3-0-0_115079_2007-11-04_final
2007-11-20 11:40:58	ga_ls7e_ard_3-0-0_115074_2007-11-20_final
2008-05-23 11:36:58	ga_ls7e_ard_3-0-0_114080_2008-05-23_final
2009-01-25 11:42:33	ga_ls7e_ard_3-0-0_115079_2009-01-25_final
2009-04-19 09:36:46	ga_ls7e_ard_3-0-0_095072_2009-04-19_final
2010-08-12 09:43:24	ga_ls7e_ard_3-0-0_095084_2010-08-12_final
2010-12-23 11:39:18	ga_ls7e_ard_3-0-0_114078_2010-12-23_final
2011-01-08 11:39:04	ga_ls7e_ard_3-0-0_114077_2011-01-08_final
2011-02-16 11:45:27	ga_ls7e_ard_3-0-0_115077_2011-02-16_final
2011-06-08 11:44:48	ga_ls7e_ard_3-0-0_115075_2011-06-08_final
2011-10-30 11:46:10	ga_ls7e_ard_3-0-0_115079_2011-10-30_final
2011-11-15 11:46:22	ga_ls7e_ard_3-0-0_115079_2011-11-15_final
2012-01-11 11:41:03	ga_ls7e_ard_3-0-0_114080_2012-01-11_final
2013-01-08 09:42:34	ga_ls7e_ard_3-0-0_095072_2013-01-08_final
2013-02-21 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-02-21_final
2013-12-22 11:49:10	ga_ls7e_ard_3-0-0_115079_2013-12-22_final
2014-02-24 11:47:55	ga_ls7e_ard_3-0-0_115075_2014-02-24_final
2014-02-27 09:03:51	ga_ls7e_ard_3-0-0_088082_2014-02-26_final
2014-10-22 11:50:52	ga_ls7e_ard_3-0-0_115079_2014-10-22_final
2015-06-03 11:51:08	ga_ls7e_ard_3-0-0_115076_2015-06-03_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2015-08-26 09:44:15	ga_ls7e_ard_3-0-0_095067_2015-08-26_final
2016-03-21 09:48:32	ga_ls7e_ard_3-0-0_095072_2016-03-21_final
2016-08-12 09:49:01	ga_ls7e_ard_3-0-0_095072_2016-08-12_final
2017-08-20 11:49:14	ga_ls7e_ard_3-0-0_114079_2017-08-20_final
2017-09-05 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-09-05_final
2017-10-02 09:47:00	ga_ls7e_ard_3-0-0_095067_2017-10-02_final
2017-12-21 09:48:42	ga_ls7e_ard_3-0-0_095072_2017-12-21_final
2019-04-04 11:38:54	ga_ls7e_ard_3-0-0_114079_2019-04-04_final
2020-03-12 11:28:26	ga_ls7e_ard_3-1-0_115075_2020-03-12_final
2021-03-13 09:41:06	ga_ls7e_ard_3-2-0_101083_2021-03-13_final
2021-04-01 10:06:28	ga_ls7e_ard_3-2-0_106073_2021-04-01_final
2021-05-07 09:37:09	ga_ls7e_ard_3-2-0_102069_2021-05-07_final
2021-05-11 09:15:41	ga_ls7e_ard_3-2-0_098078_2021-05-10_final
2021-05-12 09:57:16	ga_ls7e_ard_3-2-0_105074_2021-05-12_final
2021-05-13 09:05:33	ga_ls7e_ard_3-2-0_096084_2021-05-12_final
2021-05-15 08:46:14	ga_ls7e_ard_3-2-0_094067_2021-05-14_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-06-12 09:08:36	ga_ls7e_ard_3-2-0_098067_2021-06-11_final
2021-06-12 10:50:41	ga_ls7e_ard_3-2-0_114075_2021-06-12_final
2021-06-28 09:07:41	ga_ls7e_ard_3-2-0_098068_2021-06-27_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-06 08:23:58	ga_ls7e_ard_3-2-0_090084_2021-07-05_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-23 09:06:10	ga_ls7e_ard_3-2-0_097085_2021-07-22_final
2021-07-31 08:12:50	ga_ls7e_ard_3-2-0_089077_2021-07-30_final
2021-08-06 09:16:30	ga_ls7e_ard_3-2-0_099083_2021-08-05_final
2021-09-24 09:49:27	ga_ls7e_ard_3-2-0_106068_2021-09-24_final
2021-10-01 10:01:00	ga_ls7e_ard_3-2-0_107083_2021-10-01_final
2021-10-07 09:23:00	ga_ls7e_ard_3-2-0_101082_2021-10-06_final
2021-11-03 08:56:49	ga_ls7e_ard_3-2-0_098069_2021-11-02_final
2021-11-03 10:40:29	ga_ls7e_ard_3-2-0_114081_2021-11-03_final
2021-11-27 08:08:39	ga_ls7e_ard_3-2-1_090078_2021-11-26_final
2021-12-04 08:13:47	ga_ls7e_ard_3-2-1_091077_2021-12-03_final
2021-12-20 09:50:44	ga_ls7e_ard_3-2-1_107076_2021-12-20_final
2021-12-30 10:26:01	ga_ls7e_ard_3-2-1_113074_2021-12-30_final
2022-01-09 09:20:50	ga_ls7e_ard_3-2-1_103068_2022-01-08_final
2022-01-10 10:07:12	ga_ls7e_ard_3-2-1_110076_2022-01-10_final
2022-01-12 08:20:10	ga_ls7e_ard_3-2-1_092087_2022-01-11_final
2022-01-14 09:42:06	ga_ls7e_ard_3-2-1_106076_2022-01-14_final
2022-01-20 09:02:51	ga_ls7e_ard_3-2-1_100072_2022-01-19_final
2022-01-22 10:29:59	ga_ls7e_ard_3-2-1_114074_2022-01-22_final
2022-01-23 07:58:59	ga_ls7e_ard_3-2-1_089083_2022-01-22_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_final
2022-02-07 08:53:30	ga_ls7e_ard_3-2-1_098084_2022-02-06_final
2022-02-17 09:23:34	ga_ls7e_ard_3-2-1_104069_2022-02-16_final
2022-03-12 09:32:42	ga_ls7e_ard_3-2-1_105082_2022-03-12_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_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