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
2001-10-31 09:26:30	ga_ls7e_ard_3-1-0_094067_2001-10-30_final
2003-01-22 09:29:06	ga_ls7e_ard_3-1-0_094073_2003-01-21_final
2003-12-03 10:54:01	ga_ls7e_ard_3-1-0_107084_2003-12-03_final
2004-01-15 10:30:09	ga_ls7e_ard_3-1-0_104070_2004-01-15_final
2004-09-15 10:05:32	ga_ls7e_ard_3-1-0_100071_2004-09-15_final
2004-12-19 09:29:16	ga_ls7e_ard_3-1-0_093087_2004-12-18_final
2005-03-16 09:27:56	ga_ls7e_ard_3-1-0_094067_2005-03-15_final
2005-06-20 09:30:03	ga_ls7e_ard_3-1-0_094073_2005-06-20_final
2005-08-07 09:30:00	ga_ls7e_ard_3-1-0_094073_2005-08-07_final
2005-11-17 10:30:44	ga_ls7e_ard_3-1-0_104070_2005-11-17_final
2006-02-21 10:34:54	ga_ls7e_ard_3-1-0_104079_2006-02-21_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2006-08-19 09:29:41	ga_ls7e_ard_3-1-0_093087_2006-08-18_final
2006-09-11 09:27:48	ga_ls7e_ard_3-1-0_094067_2006-09-10_final
2006-12-04 09:10:48	ga_ls7e_ard_3-1-0_090085_2006-12-03_final
2007-01-10 09:30:15	ga_ls7e_ard_3-1-0_093087_2007-01-10_final
2007-04-29 10:35:17	ga_ls7e_ard_3-1-0_104079_2007-04-29_final
2007-05-09 09:28:38	ga_ls7e_ard_3-1-0_094067_2007-05-08_final
2007-05-15 10:31:36	ga_ls7e_ard_3-1-0_104070_2007-05-15_final
2007-11-26 09:29:50	ga_ls7e_ard_3-1-0_093086_2007-11-25_final
2007-12-25 10:31:34	ga_ls7e_ard_3-1-0_104070_2007-12-25_final
2008-07-02 09:09:03	ga_ls7e_ard_3-1-0_090082_2008-07-01_final
2008-07-14 09:27:38	ga_ls7e_ard_3-1-0_094067_2008-07-13_final
2009-09-25 10:31:22	ga_ls7e_ard_3-1-0_104070_2009-09-25_final
2010-08-21 09:30:28	ga_ls7e_ard_3-1-0_094067_2010-08-21_final
2011-06-19 11:29:49	ga_ls7e_ard_3-1-0_112084_2011-06-19_final
2011-10-20 09:33:21	ga_ls7e_ard_3-1-0_093087_2011-10-20_final
2011-11-12 09:31:46	ga_ls7e_ard_3-1-0_094067_2011-11-12_final
2012-01-19 09:14:42	ga_ls7e_ard_3-1-0_090085_2012-01-18_final
2012-02-22 10:35:22	ga_ls7e_ard_3-1-0_104070_2012-02-22_final
2012-10-27 11:28:06	ga_ls7e_ard_3-1-0_112074_2012-10-27_final
2013-01-23 10:40:36	ga_ls7e_ard_3-1-0_104078_2013-01-23_final
2014-08-30 11:29:53	ga_ls7e_ard_3-1-0_112074_2014-08-30_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2016-01-10 09:39:47	ga_ls7e_ard_3-1-0_094067_2016-01-10_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2017-01-16 09:22:50	ga_ls7e_ard_3-1-0_090085_2017-01-15_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2017-12-07 09:42:28	ga_ls7e_ard_3-1-0_093087_2017-12-07_final
2018-06-02 10:16:51	ga_ls7e_ard_3-1-0_100071_2018-06-02_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-18 10:28:00	ga_ls7e_ard_3-1-0_103068_2019-02-18_final
2019-02-25 10:35:57	ga_ls7e_ard_3-1-0_104073_2019-02-25_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-18 10:52:37	ga_ls7e_ard_3-1-0_107070_2019-03-18_final
2019-03-18 10:54:13	ga_ls7e_ard_3-1-0_107074_2019-03-18_final
2019-06-20 09:29:28	ga_ls7e_ard_3-1-0_093087_2019-06-19_final
2019-08-24 10:08:08	ga_ls7e_ard_3-1-0_100082_2019-08-24_final
2019-09-10 10:46:16	ga_ls7e_ard_3-1-0_107071_2019-09-10_final
2019-09-18 10:00:04	ga_ls7e_ard_3-1-0_099080_2019-09-18_final
2019-09-19 09:07:36	ga_ls7e_ard_3-1-0_090088_2019-09-18_final
2019-09-21 10:31:38	ga_ls7e_ard_3-1-0_104082_2019-09-21_final
2019-09-26 10:45:10	ga_ls7e_ard_3-1-0_107070_2019-09-26_final
2019-09-26 10:50:45	ga_ls7e_ard_3-1-0_107084_2019-09-26_final
2019-10-01 09:25:49	ga_ls7e_ard_3-1-0_094073_2019-09-30_final
2019-10-04 09:55:24	ga_ls7e_ard_3-1-0_099070_2019-10-04_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-10-07 10:26:10	ga_ls7e_ard_3-1-0_104070_2019-10-07_final
2019-10-12 10:44:54	ga_ls7e_ard_3-1-0_107071_2019-10-12_final
2019-10-16 10:22:25	ga_ls7e_ard_3-1-0_103077_2019-10-16_final
2019-10-28 10:46:13	ga_ls7e_ard_3-1-0_107076_2019-10-28_final
2019-11-02 09:25:39	ga_ls7e_ard_3-1-0_094076_2019-11-01_final
2019-11-05 09:57:37	ga_ls7e_ard_3-1-0_099079_2019-11-05_final
2019-11-13 10:44:42	ga_ls7e_ard_3-1-0_107074_2019-11-13_final
2019-11-17 10:18:35	ga_ls7e_ard_3-1-0_103071_2019-11-17_final
2019-11-18 09:27:19	ga_ls7e_ard_3-1-0_094082_2019-11-17_final
2019-11-21 09:54:05	ga_ls7e_ard_3-1-0_099072_2019-11-21_final
2019-11-27 09:18:19	ga_ls7e_ard_3-1-0_093076_2019-11-26_final
2019-11-28 09:59:55	ga_ls7e_ard_3-1-0_100072_2019-11-28_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2019-12-03 10:22:13	ga_ls7e_ard_3-1-0_103082_2019-12-03_final
2019-12-14 10:03:55	ga_ls7e_ard_3-1-0_100084_2019-12-14_final
2019-12-18 11:17:05	ga_ls7e_ard_3-1-0_112082_2019-12-18_final
2019-12-23 09:55:41	ga_ls7e_ard_3-1-0_099080_2019-12-23_final
2019-12-31 10:45:54	ga_ls7e_ard_3-1-0_107083_2019-12-31_final
2020-01-24 09:55:16	ga_ls7e_ard_3-1-0_099083_2020-01-24_final
2020-01-25 09:00:47	ga_ls7e_ard_3-1-0_090086_2020-01-24_final
2020-02-09 09:53:15	ga_ls7e_ard_3-1-0_099080_2020-02-09_final
2020-02-17 10:42:41	ga_ls7e_ard_3-1-0_107081_2020-02-17_final
2020-02-21 10:14:09	ga_ls7e_ard_3-1-0_103072_2020-02-21_final
2020-03-04 10:37:26	ga_ls7e_ard_3-1-0_107070_2020-03-04_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-04-19 09:14:43	ga_ls7e_ard_3-1-0_093086_2020-04-18_final
2020-04-21 10:37:08	ga_ls7e_ard_3-1-0_107076_2020-04-21_final
2020-04-24 11:07:03	ga_ls7e_ard_3-1-0_112074_2020-04-24_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2020-04-30 08:52:20	ga_ls7e_ard_3-1-0_090078_2020-04-29_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-15 10:00:06	ga_ls7e_ard_3-2-1_110074_2022-03-15_final
2022-03-19 09:38:34	ga_ls7e_ard_3-2-1_106083_2022-03-19_final
2022-03-22 08:25:55	ga_ls7e_ard_3-2-1_095072_2022-03-21_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_2022-03-22_final
2022-03-23 09:08:41	ga_ls7e_ard_3-2-1_102071_2022-03-22_final
2022-03-24 08:18:58	ga_ls7e_ard_3-2-1_093086_2022-03-23_final
2022-03-24 09:52:39	ga_ls7e_ard_3-2-1_109073_2022-03-24_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_final
2022-03-27 10:24:28	ga_ls7e_ard_3-2-1_114076_2022-03-27_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-31 09:58:58	ga_ls7e_ard_3-2-1_110075_2022-03-31_final
2022-04-03 10:29:34	ga_ls7e_ard_3-2-1_115075_2022-04-03_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