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
2001-01-23 09:36:56	ga_ls7e_ard_3-0-0_095072_2001-01-23_final
2001-11-03 11:40:45	ga_ls7e_ard_3-0-0_115078_2001-11-03_final
2002-11-06 11:40:17	ga_ls7e_ard_3-0-0_115078_2002-11-06_final
2003-02-14 09:35:29	ga_ls7e_ard_3-1-0_095073_2003-02-14_final
2003-10-12 09:32:30	ga_ls7e_ard_3-0-0_095067_2003-10-12_final
2003-12-31 09:36:06	ga_ls7e_ard_3-0-0_095074_2003-12-31_final
2004-04-21 09:41:06	ga_ls7e_ard_3-0-0_095086_2004-04-21_final
2004-07-24 11:30:57	ga_ls7e_ard_3-0-0_113083_2004-07-24_final
2004-08-07 11:40:00	ga_ls7e_ard_3-0-0_115075_2004-08-07_final
2004-08-11 09:36:00	ga_ls7e_ard_3-0-0_095074_2004-08-11_final
2004-12-17 09:36:49	ga_ls7e_ard_3-0-0_095075_2004-12-17_final
2005-03-03 11:41:17	ga_ls7e_ard_3-0-0_115076_2005-03-03_final
2005-05-06 11:40:49	ga_ls7e_ard_3-0-0_115075_2005-05-06_final
2005-06-11 09:41:04	ga_ls7e_ard_3-0-0_095085_2005-06-11_final
2005-09-11 11:39:54	ga_ls7e_ard_3-0-0_115074_2005-09-11_final
2005-09-11 11:41:29	ga_ls7e_ard_3-0-0_115078_2005-09-11_final
2005-12-16 11:40:26	ga_ls7e_ard_3-0-0_115074_2005-12-16_final
2006-03-26 09:36:53	ga_ls7e_ard_3-1-0_095073_2006-03-26_final
2006-07-05 11:37:18	ga_ls7e_ard_3-0-0_114081_2006-07-05_final
2007-03-18 11:35:33	ga_ls7e_ard_3-0-0_114075_2007-03-18_final
2007-03-25 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-03-25_final
2008-09-07 09:41:22	ga_ls7e_ard_3-0-0_095087_2008-09-07_final
2008-09-19 11:39:41	ga_ls7e_ard_3-0-0_115074_2008-09-19_final
2009-04-19 09:36:46	ga_ls7e_ard_3-0-0_095072_2009-04-19_final
2010-01-12 11:43:52	ga_ls7e_ard_3-0-0_115078_2010-01-12_final
2010-09-28 08:59:00	ga_ls7e_ard_3-0-0_088081_2010-09-27_final
2010-11-12 11:44:17	ga_ls7e_ard_3-0-0_115076_2010-11-12_final
2010-12-14 11:44:13	ga_ls7e_ard_3-0-0_115075_2010-12-14_final
2010-12-18 09:37:27	ga_ls7e_ard_3-0-0_095067_2010-12-18_final
2010-12-18 09:39:26	ga_ls7e_ard_3-0-0_095072_2010-12-18_final
2011-01-01 11:35:13	ga_ls7e_ard_3-0-0_113083_2011-01-01_final
2011-01-08 11:39:04	ga_ls7e_ard_3-0-0_114077_2011-01-08_final
2011-03-04 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-03-04_final
2011-11-24 11:35:31	ga_ls7e_ard_3-0-0_114067_2011-11-24_final
2011-12-20 09:00:37	ga_ls7e_ard_3-0-0_088081_2011-12-19_final
2013-12-06 11:47:09	ga_ls7e_ard_3-0-0_115074_2013-12-06_final
2013-12-06 11:48:45	ga_ls7e_ard_3-0-0_115078_2013-12-06_final
2014-02-12 09:41:14	ga_ls7e_ard_3-0-0_095067_2014-02-12_final
2014-05-19 09:41:45	ga_ls7e_ard_3-0-0_095067_2014-05-19_final
2014-09-24 09:44:57	ga_ls7e_ard_3-0-0_095074_2014-09-24_final
2014-10-06 11:48:44	ga_ls7e_ard_3-0-0_115074_2014-10-06_final
2014-12-25 11:49:20	ga_ls7e_ard_3-0-0_115074_2014-12-25_final
2015-03-15 11:51:21	ga_ls7e_ard_3-0-0_115078_2015-03-15_final
2015-07-14 11:44:22	ga_ls7e_ard_3-0-0_114074_2015-07-14_final
2015-09-07 11:52:17	ga_ls7e_ard_3-0-0_115078_2015-09-07_final
2015-12-12 11:51:56	ga_ls7e_ard_3-0-0_115074_2015-12-12_final
2016-07-09 11:44:36	ga_ls7e_ard_3-0-0_113083_2016-07-09_final
2016-08-12 09:47:02	ga_ls7e_ard_3-0-0_095067_2016-08-12_final
2016-11-12 11:54:10	ga_ls7e_ard_3-0-0_115076_2016-11-12_final
2017-06-12 09:55:00	ga_ls7e_ard_3-0-0_095087_2017-06-12_final
2017-07-14 09:54:39	ga_ls7e_ard_3-0-0_095086_2017-07-14_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-08-16 11:40:35	ga_ls7e_ard_3-0-0_113083_2018-08-16_final
2018-08-18 09:48:54	ga_ls7e_ard_3-0-0_095082_2018-08-18_final
2018-08-23 11:44:14	ga_ls7e_ard_3-0-0_114077_2018-08-23_final
2019-05-01 09:41:17	ga_ls7e_ard_3-0-0_095081_2019-05-01_final
2019-05-15 11:33:11	ga_ls7e_ard_3-0-0_113084_2019-05-15_final
2019-06-02 09:34:30	ga_ls7e_ard_3-0-0_095067_2019-06-02_final
2019-07-04 09:40:54	ga_ls7e_ard_3-0-0_095086_2019-07-04_final
2019-09-18 11:36:33	ga_ls7e_ard_3-1-0_115074_2019-09-18_final
2019-09-22 09:32:22	ga_ls7e_ard_3-1-0_095073_2019-09-22_final
2019-10-29 11:25:50	ga_ls7e_ard_3-1-0_114067_2019-10-29_final
2019-11-21 11:33:46	ga_ls7e_ard_3-1-0_115074_2019-11-21_final
2019-11-30 11:27:57	ga_ls7e_ard_3-1-0_114076_2019-11-30_final
2020-09-24 09:17:43	ga_ls7e_ard_3-1-0_095087_2020-09-23_final
2021-03-31 09:25:42	ga_ls7e_ard_3-2-0_099079_2021-03-30_final
2021-04-01 08:29:12	ga_ls7e_ard_3-2-0_090077_2021-03-31_final
2021-04-09 09:18:22	ga_ls7e_ard_3-2-0_098078_2021-04-08_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-05-01 10:20:42	ga_ls7e_ard_3-2-0_108084_2021-05-01_final
2021-05-02 09:23:01	ga_ls7e_ard_3-2-0_099079_2021-05-01_final
2021-05-11 09:12:29	ga_ls7e_ard_3-2-0_098070_2021-05-10_final
2021-05-16 09:31:24	ga_ls7e_ard_3-2-0_101072_2021-05-16_final
2021-05-22 10:33:06	ga_ls7e_ard_3-2-0_111073_2021-05-22_final
2021-05-26 08:33:33	ga_ls7e_ard_3-2-0_091084_2021-05-25_final
2021-06-05 10:41:52	ga_ls7e_ard_3-2-0_113067_2021-06-05_final
2021-06-14 10:37:45	ga_ls7e_ard_3-2-0_112074_2021-06-14_final
2021-06-23 10:30:26	ga_ls7e_ard_3-2-0_111073_2021-06-23_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-02 10:21:07	ga_ls7e_ard_3-2-0_110067_2021-07-02_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-20 10:10:24	ga_ls7e_ard_3-2-0_108075_2021-07-20_final
2021-07-23 10:43:03	ga_ls7e_ard_3-2-0_113080_2021-07-23_final
2021-08-14 08:24:45	ga_ls7e_ard_3-2-0_091079_2021-08-13_final
2021-09-06 10:04:13	ga_ls7e_ard_3-2-0_108070_2021-09-06_final
2021-09-18 08:47:48	ga_ls7e_ard_3-2-0_096067_2021-09-17_final
2021-09-30 09:15:02	ga_ls7e_ard_3-2-0_100076_2021-09-29_final
2021-10-11 10:33:37	ga_ls7e_ard_3-2-0_113074_2021-10-11_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-11-01 09:10:34	ga_ls7e_ard_3-2-0_100072_2021-10-31_final
2021-11-06 09:27:26	ga_ls7e_ard_3-2-0_103069_2021-11-05_final
2021-11-10 10:43:12	ga_ls7e_ard_3-2-0_115074_2021-11-10_final
2021-11-21 08:46:42	ga_ls7e_ard_3-2-1_096079_2021-11-20_final
2021-12-13 08:07:33	ga_ls7e_ard_3-2-1_090079_2021-12-12_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-26 08:26:00	ga_ls7e_ard_3-2-1_094074_2022-01-25_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-09 08:36:33	ga_ls7e_ard_3-2-1_096073_2022-02-08_final
2022-03-12 09:27:07	ga_ls7e_ard_3-2-1_105068_2022-03-11_final
2022-03-19 08:00:53	ga_ls7e_ard_3-2-1_090086_2022-03-18_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