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
1999-11-15 09:13:35	ga_ls7e_ard_3-1-0_090085_1999-11-14_final
2000-04-17 11:26:33	ga_ls7e_ard_3-1-0_112079_2000-04-17_final
2000-06-04 11:28:08	ga_ls7e_ard_3-1-0_112084_2000-06-04_final
2000-12-15 09:35:01	ga_ls7e_ard_3-1-0_094083_2000-12-15_final
2001-01-10 10:11:22	ga_ls7e_ard_3-1-0_100081_2001-01-10_final
2001-02-17 09:35:02	ga_ls7e_ard_3-1-0_094083_2001-02-17_final
2001-03-05 09:34:57	ga_ls7e_ard_3-1-0_094083_2001-03-05_final
2001-05-22 11:23:18	ga_ls7e_ard_3-1-0_112077_2001-05-22_final
2001-06-19 10:10:25	ga_ls7e_ard_3-1-0_100081_2001-06-19_final
2001-07-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2001-07-25_final
2002-01-29 10:09:41	ga_ls7e_ard_3-1-0_100081_2002-01-29_final
2002-08-03 09:08:54	ga_ls7e_ard_3-1-0_090085_2002-08-02_final
2002-09-15 10:27:40	ga_ls7e_ard_3-1-0_103082_2002-09-15_final
2002-12-21 09:32:55	ga_ls7e_ard_3-1-0_094083_2002-12-21_final
2004-06-07 10:30:19	ga_ls7e_ard_3-1-0_104070_2004-06-07_final
2004-07-29 10:09:46	ga_ls7e_ard_3-1-0_100081_2004-07-29_final
2005-06-18 11:25:41	ga_ls7e_ard_3-1-0_112084_2005-06-18_final
2005-06-26 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-06-26_final
2005-08-13 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-08-13_final
2005-08-29 10:30:27	ga_ls7e_ard_3-1-0_104070_2005-08-29_final
2006-01-14 09:35:41	ga_ls7e_ard_3-1-0_094086_2006-01-14_final
2006-10-01 09:10:06	ga_ls7e_ard_3-1-0_090085_2006-09-30_final
2006-12-25 09:30:14	ga_ls7e_ard_3-1-0_093087_2006-12-25_final
2007-03-10 09:11:12	ga_ls7e_ard_3-1-0_090085_2007-03-09_final
2007-08-19 10:31:14	ga_ls7e_ard_3-1-0_104070_2007-08-19_final
2007-08-24 10:50:09	ga_ls7e_ard_3-1-0_107071_2007-08-24_final
2008-03-01 09:27:50	ga_ls7e_ard_3-1-0_093081_2008-02-29_final
2008-12-09 09:10:07	ga_ls7e_ard_3-1-0_090085_2008-12-08_final
2009-02-27 09:10:43	ga_ls7e_ard_3-1-0_090085_2009-02-26_final
2009-08-27 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-08-26_final
2010-04-19 09:12:54	ga_ls7e_ard_3-1-0_090085_2010-04-18_final
2010-10-17 09:30:02	ga_ls7e_ard_3-1-0_093081_2010-10-17_final
2011-11-12 09:38:09	ga_ls7e_ard_3-1-0_094083_2011-11-12_final
2011-12-23 09:33:57	ga_ls7e_ard_3-1-0_093087_2011-12-23_final
2012-09-05 10:16:15	ga_ls7e_ard_3-1-0_100081_2012-09-05_final
2013-01-23 10:40:12	ga_ls7e_ard_3-1-0_104077_2013-01-23_final
2013-07-26 11:31:33	ga_ls7e_ard_3-1-0_112084_2013-07-26_final
2013-08-06 09:30:06	ga_ls7e_ard_3-1-0_093074_2013-08-06_final
2013-08-19 10:40:09	ga_ls7e_ard_3-1-0_104079_2013-08-19_final
2015-12-07 11:37:17	ga_ls7e_ard_3-1-0_112084_2015-12-07_final
2015-12-31 10:42:37	ga_ls7e_ard_3-1-0_104070_2015-12-31_final
2016-01-30 09:22:29	ga_ls7e_ard_3-1-0_090085_2016-01-29_final
2017-10-31 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-10-30_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-01-27 09:30:02	ga_ls7e_ard_3-1-0_093076_2019-01-27_final
2019-02-22 10:08:20	ga_ls7e_ard_3-1-0_099081_2019-02-22_final
2019-02-28 09:32:40	ga_ls7e_ard_3-1-0_093085_2019-02-28_final
2019-03-02 10:54:44	ga_ls7e_ard_3-1-0_107074_2019-03-02_final
2019-03-07 09:36:38	ga_ls7e_ard_3-1-0_094080_2019-03-07_final
2019-03-22 10:27:46	ga_ls7e_ard_3-1-0_103070_2019-03-22_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-08-29 10:25:40	ga_ls7e_ard_3-1-0_103080_2019-08-29_final
2019-08-29 10:26:04	ga_ls7e_ard_3-1-0_103081_2019-08-29_final
2019-09-09 10:07:27	ga_ls7e_ard_3-1-0_100082_2019-09-09_final
2019-09-14 10:23:46	ga_ls7e_ard_3-1-0_103077_2019-09-14_final
2019-09-18 09:57:16	ga_ls7e_ard_3-1-0_099073_2019-09-18_final
2019-09-25 10:03:08	ga_ls7e_ard_3-1-0_100073_2019-09-25_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-10-11 10:06:28	ga_ls7e_ard_3-1-0_100083_2019-10-11_final
2019-11-05 09:53:13	ga_ls7e_ard_3-1-0_099068_2019-11-05_final
2019-11-12 10:01:05	ga_ls7e_ard_3-1-0_100073_2019-11-12_final
2019-11-17 10:18:11	ga_ls7e_ard_3-1-0_103070_2019-11-17_final
2019-11-17 10:19:47	ga_ls7e_ard_3-1-0_103074_2019-11-17_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-12-18 11:13:53	ga_ls7e_ard_3-1-0_112074_2019-12-18_final
2019-12-23 09:54:05	ga_ls7e_ard_3-1-0_099076_2019-12-23_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2020-01-03 11:13:03	ga_ls7e_ard_3-1-0_112074_2020-01-03_final
2020-01-09 08:59:59	ga_ls7e_ard_3-1-0_090082_2020-01-08_final
2020-01-15 09:58:41	ga_ls7e_ard_3-1-0_100075_2020-01-15_final
2020-01-20 10:17:47	ga_ls7e_ard_3-1-0_103077_2020-01-20_final
2020-02-06 09:22:07	ga_ls7e_ard_3-1-0_094079_2020-02-05_final
2020-02-09 09:53:15	ga_ls7e_ard_3-1-0_099080_2020-02-09_final
2020-02-20 11:13:49	ga_ls7e_ard_3-1-0_112082_2020-02-20_final
2020-02-26 08:57:33	ga_ls7e_ard_3-1-0_090082_2020-02-25_final
2020-02-28 10:23:57	ga_ls7e_ard_3-1-0_104082_2020-02-28_final
2020-03-19 09:54:09	ga_ls7e_ard_3-1-0_100072_2020-03-19_final
2020-03-28 09:50:40	ga_ls7e_ard_3-1-0_099080_2020-03-28_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-04-08 11:10:23	ga_ls7e_ard_3-1-0_112080_2020-04-08_final
2020-04-13 09:50:57	ga_ls7e_ard_3-1-0_099083_2020-04-13_final
2020-04-16 10:18:53	ga_ls7e_ard_3-1-0_104076_2020-04-16_final
2020-04-19 09:12:19	ga_ls7e_ard_3-1-0_093080_2020-04-18_final
2020-04-29 09:45:13	ga_ls7e_ard_3-1-0_099071_2020-04-29_final
2020-04-29 09:45:37	ga_ls7e_ard_3-1-0_099072_2020-04-29_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-22 10:05:36	ga_ls7e_ard_3-2-1_111074_2022-03-22_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 09:55:27	ga_ls7e_ard_3-2-1_109080_2022-03-24_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-27 08:43:36	ga_ls7e_ard_3-2-1_098071_2022-03-26_final
2022-03-30 09:17:24	ga_ls7e_ard_3-2-1_103079_2022-03-29_final
2022-03-31 08:21:17	ga_ls7e_ard_3-2-1_094078_2022-03-30_final
2022-03-31 09:58:58	ga_ls7e_ard_3-2-1_110075_2022-03-31_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_2022-03-31_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_2022-03-31_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