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
2000-02-18 11:43:53	ga_ls7e_ard_3-0-0_115075_2000-02-18_final
2000-02-18 11:45:05	ga_ls7e_ard_3-0-0_115078_2000-02-18_final
2001-01-03 11:42:47	ga_ls7e_ard_3-0-0_115078_2001-01-03_final
2001-05-27 11:41:01	ga_ls7e_ard_3-0-0_115075_2001-05-27_final
2002-04-21 11:35:48	ga_ls7e_ard_3-0-0_114080_2002-04-21_final
2002-05-18 09:35:31	ga_ls7e_ard_3-1-0_095073_2002-05-18_final
2002-10-21 11:38:59	ga_ls7e_ard_3-0-0_115075_2002-10-21_final
2003-10-12 09:35:17	ga_ls7e_ard_3-0-0_095074_2003-10-12_final
2003-12-20 11:35:51	ga_ls7e_ard_3-0-0_114080_2003-12-20_final
2004-01-16 09:33:21	ga_ls7e_ard_3-0-0_095067_2004-01-16_final
2004-09-24 11:39:25	ga_ls7e_ard_3-0-0_115074_2004-09-24_final
2005-06-27 09:41:23	ga_ls7e_ard_3-0-0_095086_2005-06-27_final
2005-08-19 11:36:43	ga_ls7e_ard_3-0-0_114081_2005-08-19_final
2005-08-26 11:40:28	ga_ls7e_ard_3-0-0_115075_2005-08-26_final
2005-09-11 11:41:06	ga_ls7e_ard_3-1-0_115077_2005-09-11_final
2005-10-13 11:41:05	ga_ls7e_ard_3-0-0_115077_2005-10-13_final
2006-05-25 11:41:40	ga_ls7e_ard_3-0-0_115076_2006-05-25_final
2006-11-10 11:31:42	ga_ls7e_ard_3-0-0_114067_2006-11-10_final
2006-11-26 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-11-26_final
2007-10-07 09:36:28	ga_ls7e_ard_3-1-0_095073_2007-10-07_final
2008-06-19 09:36:06	ga_ls7e_ard_3-0-0_095072_2008-06-19_final
2008-06-19 09:41:17	ga_ls7e_ard_3-0-0_095085_2008-06-19_final
2008-07-21 09:40:07	ga_ls7e_ard_3-0-0_095083_2008-07-21_final
2008-09-03 11:41:25	ga_ls7e_ard_3-0-0_115078_2008-09-03_final
2009-08-21 11:40:59	ga_ls7e_ard_3-0-0_115074_2009-08-21_final
2010-09-09 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-09_final
2010-10-31 09:39:19	ga_ls7e_ard_3-1-0_095073_2010-10-31_final
2011-04-30 11:38:15	ga_ls7e_ard_3-0-0_114074_2011-04-30_final
2011-06-12 09:45:59	ga_ls7e_ard_3-0-0_095087_2011-06-12_final
2011-11-03 09:44:34	ga_ls7e_ard_3-0-0_095084_2011-11-03_final
2011-11-19 09:40:01	ga_ls7e_ard_3-0-0_095072_2011-11-19_final
2011-12-05 09:40:10	ga_ls7e_ard_3-0-0_095072_2011-12-05_final
2012-12-03 11:46:47	ga_ls7e_ard_3-0-0_115074_2012-12-03_final
2013-01-13 11:41:10	ga_ls7e_ard_3-0-0_114075_2013-01-13_final
2013-04-14 09:47:36	ga_ls7e_ard_3-0-0_095085_2013-04-14_final
2013-04-29 09:03:03	ga_ls7e_ard_3-0-0_088082_2013-04-28_final
2013-06-13 11:46:29	ga_ls7e_ard_3-0-0_115074_2013-06-13_final
2013-08-19 09:02:04	ga_ls7e_ard_3-0-0_088081_2013-08-18_final
2013-10-23 09:40:28	ga_ls7e_ard_3-0-0_095067_2013-10-23_final
2013-12-10 09:40:46	ga_ls7e_ard_3-0-0_095067_2013-12-10_final
2013-12-22 11:47:10	ga_ls7e_ard_3-0-0_115074_2013-12-22_final
2014-03-15 09:03:59	ga_ls7e_ard_3-0-0_088082_2014-03-14_final
2014-08-23 09:49:13	ga_ls7e_ard_3-0-0_095085_2014-08-23_final
2015-08-22 11:51:51	ga_ls7e_ard_3-1-0_115077_2015-08-22_final
2015-10-18 11:47:17	ga_ls7e_ard_3-0-0_114080_2015-10-18_final
2016-01-22 11:43:33	ga_ls7e_ard_3-0-0_114067_2016-01-22_final
2016-02-02 09:48:37	ga_ls7e_ard_3-1-0_095073_2016-02-02_final
2016-02-18 09:46:17	ga_ls7e_ard_3-0-0_095067_2016-02-18_final
2016-03-26 11:46:46	ga_ls7e_ard_3-0-0_114074_2016-03-26_final
2016-06-05 11:53:19	ga_ls7e_ard_3-0-0_115074_2016-06-05_final
2016-12-02 09:46:55	ga_ls7e_ard_3-0-0_095067_2016-12-02_final
2018-02-12 11:48:58	ga_ls7e_ard_3-0-0_114081_2018-02-12_final
2018-04-01 11:46:00	ga_ls7e_ard_3-0-0_114075_2018-04-01_final
2019-02-06 11:44:54	ga_ls7e_ard_3-0-0_115074_2019-02-06_final
2019-02-26 09:43:30	ga_ls7e_ard_3-1-0_095081_2019-02-26_final
2019-08-01 11:39:00	ga_ls7e_ard_3-0-0_115075_2019-08-01_final
2020-01-01 11:25:55	ga_ls7e_ard_3-1-0_114075_2020-01-01_final
2020-03-21 11:22:58	ga_ls7e_ard_3-1-0_114078_2020-03-21_final
2020-08-12 11:12:45	ga_ls7e_ard_3-1-0_114074_2020-08-12_final
2020-08-28 11:12:32	ga_ls7e_ard_3-1-0_114076_2020-08-28_final
2021-02-10 08:49:52	ga_ls7e_ard_3-2-0_092088_2021-02-09_final
2021-02-11 11:07:32	ga_ls7e_ard_3-2-0_115077_2021-02-11_final
2021-02-16 09:48:25	ga_ls7e_ard_3-2-0_102081_2021-02-16_final
2021-02-21 08:28:54	ga_ls7e_ard_3-2-0_089084_2021-02-20_final
2021-02-21 10:06:35	ga_ls7e_ard_3-2-0_105081_2021-02-21_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-04-30 09:34:44	ga_ls7e_ard_3-2-0_101077_2021-04-30_final
2021-05-18 10:59:21	ga_ls7e_ard_3-2-0_115076_2021-05-18_final
2021-05-26 10:06:50	ga_ls7e_ard_3-2-0_107070_2021-05-26_final
2021-06-19 09:20:12	ga_ls7e_ard_3-2-0_099082_2021-06-18_final
2021-06-28 09:08:53	ga_ls7e_ard_3-2-0_098071_2021-06-27_final
2021-07-06 08:25:33	ga_ls7e_ard_3-2-0_090088_2021-07-05_final
2021-07-23 10:43:51	ga_ls7e_ard_3-2-0_113082_2021-07-23_final
2021-07-29 10:06:38	ga_ls7e_ard_3-2-0_107083_2021-07-29_final
2021-08-01 10:33:41	ga_ls7e_ard_3-2-0_112074_2021-08-01_final
2021-09-04 08:44:15	ga_ls7e_ard_3-2-0_094086_2021-09-03_final
2021-09-13 10:11:46	ga_ls7e_ard_3-2-0_109075_2021-09-13_final
2021-09-15 08:25:57	ga_ls7e_ard_3-2-0_091089_2021-09-14_final
2021-09-23 09:10:41	ga_ls7e_ard_3-2-0_099079_2021-09-22_final
2021-10-29 10:19:13	ga_ls7e_ard_3-2-0_111073_2021-10-29_final
2021-11-02 09:57:19	ga_ls7e_ard_3-2-0_107081_2021-11-02_final
2021-11-07 08:30:55	ga_ls7e_ard_3-2-0_094067_2021-11-06_final
2021-11-19 10:36:32	ga_ls7e_ard_3-2-1_114075_2021-11-19_final
2021-11-26 10:43:14	ga_ls7e_ard_3-2-1_115078_2021-11-26_final
2021-11-29 09:31:00	ga_ls7e_ard_3-2-1_104068_2021-11-29_final
2021-12-06 09:42:06	ga_ls7e_ard_3-2-1_105082_2021-12-06_final
2021-12-12 10:41:44	ga_ls7e_ard_3-2-1_115078_2021-12-12_final
2021-12-13 09:42:26	ga_ls7e_ard_3-2-1_106069_2021-12-13_final
2022-01-12 09:54:15	ga_ls7e_ard_3-2-1_108075_2022-01-12_final
2022-01-18 09:15:48	ga_ls7e_ard_3-2-1_102073_2022-01-17_final
2022-02-07 08:51:30	ga_ls7e_ard_3-2-1_098079_2022-02-06_final
2022-02-11 10:05:15	ga_ls7e_ard_3-2-1_110079_2022-02-11_final
2022-02-13 09:54:16	ga_ls7e_ard_3-2-1_108083_2022-02-13_final
2022-02-14 08:54:09	ga_ls7e_ard_3-2-1_099072_2022-02-13_final
2022-02-22 09:47:13	ga_ls7e_ard_3-2-1_107083_2022-02-22_final
2022-02-24 09:33:52	ga_ls7e_ard_3-2-1_105081_2022-02-24_final
2022-03-17 08:09:03	ga_ls7e_ard_3-2-1_092075_2022-03-16_final
2022-03-19 09:33:47	ga_ls7e_ard_3-2-1_106071_2022-03-19_final
2022-03-20 08:38:52	ga_ls7e_ard_3-2-1_097073_2022-03-19_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_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