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
2000-05-30 09:31:58	ga_ls7e_ard_3-1-0_093087_2000-05-30_final
2000-10-10 11:26:37	ga_ls7e_ard_3-1-0_112084_2000-10-10_final
2001-07-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2001-07-03_final
2001-11-04 09:09:03	ga_ls7e_ard_3-1-0_090085_2001-11-03_final
2002-03-24 09:27:02	ga_ls7e_ard_3-1-0_094067_2002-03-23_final
2002-04-18 09:28:48	ga_ls7e_ard_3-1-0_093087_2002-04-17_final
2002-11-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-11-25_final
2004-04-02 09:09:57	ga_ls7e_ard_3-1-0_090085_2004-04-01_final
2004-05-22 10:30:24	ga_ls7e_ard_3-1-0_104070_2004-05-22_final
2004-12-16 10:30:26	ga_ls7e_ard_3-1-0_104070_2004-12-16_final
2005-04-10 09:29:38	ga_ls7e_ard_3-1-0_093087_2005-04-09_final
2006-01-14 09:28:06	ga_ls7e_ard_3-1-0_094067_2006-01-13_final
2006-02-24 09:30:07	ga_ls7e_ard_3-1-0_093087_2006-02-24_final
2006-12-30 11:23:40	ga_ls7e_ard_3-1-0_112077_2006-12-30_final
2007-02-08 10:31:37	ga_ls7e_ard_3-1-0_104070_2007-02-08_final
2007-02-18 09:28:40	ga_ls7e_ard_3-1-0_094067_2007-02-17_final
2007-03-15 09:30:33	ga_ls7e_ard_3-1-0_093087_2007-03-15_final
2007-04-29 10:35:17	ga_ls7e_ard_3-1-0_104079_2007-04-29_final
2007-06-14 09:10:57	ga_ls7e_ard_3-1-0_090085_2007-06-13_final
2008-02-14 09:29:55	ga_ls7e_ard_3-1-0_093086_2008-02-13_final
2008-03-01 09:30:14	ga_ls7e_ard_3-1-0_093087_2008-03-01_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2008-09-16 09:29:55	ga_ls7e_ard_3-1-0_094074_2008-09-15_final
2009-03-16 11:31:00	ga_ls7e_ard_3-1-0_113080_2009-03-16_final
2010-11-25 09:31:04	ga_ls7e_ard_3-1-0_094067_2010-11-25_final
2010-12-11 09:31:13	ga_ls7e_ard_3-1-0_094067_2010-12-11_final
2011-02-13 09:38:03	ga_ls7e_ard_3-1-0_094083_2011-02-13_final
2011-04-11 09:33:39	ga_ls7e_ard_3-1-0_093087_2011-04-11_final
2011-05-02 11:29:52	ga_ls7e_ard_3-1-0_112084_2011-05-02_final
2012-03-12 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-03-12_final
2012-03-23 09:14:49	ga_ls7e_ard_3-1-0_090085_2012-03-22_final
2014-09-05 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-09-04_final
2014-09-17 09:35:55	ga_ls7e_ard_3-1-0_094067_2014-09-17_final
2015-03-26 11:35:18	ga_ls7e_ard_3-1-0_112084_2015-03-26_final
2015-07-11 09:38:09	ga_ls7e_ard_3-1-0_093083_2015-07-11_final
2016-08-05 09:40:51	ga_ls7e_ard_3-1-0_094067_2016-08-05_final
2016-09-04 11:38:57	ga_ls7e_ard_3-1-0_112084_2016-09-04_final
2018-05-11 09:20:58	ga_ls7e_ard_3-1-0_090085_2018-05-10_final
2018-12-26 09:33:51	ga_ls7e_ard_3-1-0_093083_2018-12-26_final
2019-02-17 11:26:50	ga_ls7e_ard_3-1-0_112076_2019-02-17_final
2019-02-19 09:39:31	ga_ls7e_ard_3-1-0_094086_2019-02-19_final
2019-02-25 10:36:21	ga_ls7e_ard_3-1-0_104074_2019-02-25_final
2019-03-05 11:27:56	ga_ls7e_ard_3-1-0_112080_2019-03-05_final
2019-03-11 09:11:47	ga_ls7e_ard_3-1-0_090080_2019-03-10_final
2019-03-11 09:12:35	ga_ls7e_ard_3-1-0_090082_2019-03-10_final
2019-03-13 10:34:15	ga_ls7e_ard_3-1-0_104070_2019-03-13_final
2019-03-13 10:37:02	ga_ls7e_ard_3-1-0_104077_2019-03-13_final
2019-03-16 09:32:09	ga_ls7e_ard_3-1-0_093085_2019-03-16_final
2019-03-22 10:31:45	ga_ls7e_ard_3-1-0_103080_2019-03-22_final
2019-03-23 09:34:06	ga_ls7e_ard_3-1-0_094075_2019-03-23_final
2019-07-11 11:22:06	ga_ls7e_ard_3-1-0_112077_2019-07-11_final
2019-07-17 09:09:06	ga_ls7e_ard_3-1-0_090085_2019-07-16_final
2019-08-24 10:06:56	ga_ls7e_ard_3-1-0_100079_2019-08-24_final
2019-08-29 10:25:40	ga_ls7e_ard_3-1-0_103080_2019-08-29_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-13 11:15:27	ga_ls7e_ard_3-1-0_112067_2019-09-13_final
2019-09-18 10:00:52	ga_ls7e_ard_3-1-0_099082_2019-09-18_final
2019-09-29 11:20:44	ga_ls7e_ard_3-1-0_112082_2019-09-29_final
2019-10-17 09:29:32	ga_ls7e_ard_3-1-0_094084_2019-10-16_final
2019-10-26 09:20:35	ga_ls7e_ard_3-1-0_093078_2019-10-25_final
2019-11-08 10:28:47	ga_ls7e_ard_3-1-0_104080_2019-11-08_final
2019-11-17 10:17:47	ga_ls7e_ard_3-1-0_103069_2019-11-17_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-27 09:18:19	ga_ls7e_ard_3-1-0_093076_2019-11-26_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-07 09:56:54	ga_ls7e_ard_3-1-0_099081_2019-12-07_final
2019-12-10 10:23:15	ga_ls7e_ard_3-1-0_104070_2019-12-10_final
2019-12-15 10:45:56	ga_ls7e_ard_3-1-0_107081_2019-12-15_final
2019-12-18 11:11:06	ga_ls7e_ard_3-1-0_112067_2019-12-18_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-20 09:27:20	ga_ls7e_ard_3-1-0_094086_2019-12-19_final
2019-12-23 09:54:05	ga_ls7e_ard_3-1-0_099076_2019-12-23_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2019-12-30 10:02:18	ga_ls7e_ard_3-1-0_100082_2019-12-30_final
2020-01-04 10:16:11	ga_ls7e_ard_3-1-0_103071_2020-01-04_final
2020-01-04 10:17:23	ga_ls7e_ard_3-1-0_103074_2020-01-04_final
2020-01-19 11:13:03	ga_ls7e_ard_3-1-0_112076_2020-01-19_final
2020-01-20 10:17:47	ga_ls7e_ard_3-1-0_103077_2020-01-20_final
2020-01-21 09:24:07	ga_ls7e_ard_3-1-0_094082_2020-01-20_final
2020-02-05 10:14:11	ga_ls7e_ard_3-1-0_103070_2020-02-05_final
2020-02-05 10:18:59	ga_ls7e_ard_3-1-0_103082_2020-02-05_final
2020-02-11 11:20:52	ga_ls7e_ard_3-1-0_113083_2020-02-11_final
2020-02-16 09:57:05	ga_ls7e_ard_3-1-0_100075_2020-02-16_final
2020-02-20 11:13:01	ga_ls7e_ard_3-1-0_112080_2020-02-20_final
2020-02-20 11:13:25	ga_ls7e_ard_3-1-0_112081_2020-02-20_final
2020-02-26 08:56:45	ga_ls7e_ard_3-1-0_090080_2020-02-25_final
2020-02-26 08:58:20	ga_ls7e_ard_3-1-0_090084_2020-02-25_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-13 08:55:05	ga_ls7e_ard_3-1-0_090078_2020-03-12_final
2020-03-20 10:41:21	ga_ls7e_ard_3-1-0_107082_2020-03-20_final
2020-03-23 11:12:29	ga_ls7e_ard_3-1-0_112083_2020-03-23_final
2020-04-05 10:36:04	ga_ls7e_ard_3-1-0_107071_2020-04-05_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-19 09:13:55	ga_ls7e_ard_3-1-0_093084_2020-04-18_final
2020-04-29 09:45:37	ga_ls7e_ard_3-1-0_099072_2020-04-29_final
2022-03-18 10:30:41	ga_ls7e_ard_3-2-1_115074_2022-03-18_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-28 09:26:22	ga_ls7e_ard_3-2-1_105070_2022-03-27_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_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