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
2000-03-24 10:33:50	ga_ls7e_ard_3-1-0_104070_2000-03-24_final
2001-06-18 09:29:34	ga_ls7e_ard_3-1-0_093087_2001-06-17_final
2002-01-28 09:27:15	ga_ls7e_ard_3-1-0_093083_2002-01-27_final
2004-09-05 09:30:08	ga_ls7e_ard_3-1-0_094075_2004-09-05_final
2005-01-17 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-01-17_final
2005-08-17 10:10:13	ga_ls7e_ard_3-1-0_100081_2005-08-17_final
2005-12-11 11:25:52	ga_ls7e_ard_3-1-0_112084_2005-12-11_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2006-12-19 10:06:06	ga_ls7e_ard_3-1-0_099084_2006-12-19_final
2007-02-02 09:34:57	ga_ls7e_ard_3-1-0_094083_2007-02-02_final
2007-03-15 09:30:09	ga_ls7e_ard_3-1-0_093086_2007-03-15_final
2007-05-03 10:11:20	ga_ls7e_ard_3-1-0_100081_2007-05-03_final
2007-11-17 09:34:45	ga_ls7e_ard_3-1-0_094083_2007-11-17_final
2008-03-01 09:27:26	ga_ls7e_ard_3-1-0_093080_2008-02-29_final
2008-09-26 10:09:42	ga_ls7e_ard_3-1-0_100081_2008-09-26_final
2009-08-12 10:11:04	ga_ls7e_ard_3-1-0_100081_2009-08-12_final
2010-04-24 09:29:50	ga_ls7e_ard_3-1-0_093081_2010-04-23_final
2011-01-10 11:26:43	ga_ls7e_ard_3-1-0_112077_2011-01-10_final
2011-02-11 11:29:41	ga_ls7e_ard_3-1-0_112084_2011-02-11_final
2011-07-07 09:38:08	ga_ls7e_ard_3-1-0_094083_2011-07-07_final
2011-11-12 09:38:09	ga_ls7e_ard_3-1-0_094083_2011-11-12_final
2011-12-23 09:32:21	ga_ls7e_ard_3-1-0_093083_2011-12-23_final
2012-02-26 10:15:02	ga_ls7e_ard_3-1-0_100081_2012-02-26_final
2012-04-04 09:38:42	ga_ls7e_ard_3-1-0_094083_2012-04-04_final
2012-09-20 09:35:30	ga_ls7e_ard_3-1-0_093087_2012-09-20_final
2012-09-21 10:16:23	ga_ls7e_ard_3-1-0_100081_2012-09-21_final
2012-10-03 10:36:51	ga_ls7e_ard_3-1-0_104070_2012-10-03_final
2013-01-21 09:16:52	ga_ls7e_ard_3-1-0_090085_2013-01-20_final
2013-06-19 09:35:40	ga_ls7e_ard_3-1-0_093087_2013-06-19_final
2013-09-04 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-09-04_final
2014-05-18 10:38:34	ga_ls7e_ard_3-1-0_104070_2014-05-18_final
2015-07-18 09:44:21	ga_ls7e_ard_3-1-0_094083_2015-07-18_final
2016-12-01 10:43:44	ga_ls7e_ard_3-1-0_104070_2016-12-01_final
2017-07-23 09:47:16	ga_ls7e_ard_3-1-0_094083_2017-07-23_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2017-12-04 10:47:17	ga_ls7e_ard_3-1-0_104079_2017-12-04_final
2018-07-04 10:20:14	ga_ls7e_ard_3-1-0_100081_2018-07-04_final
2019-02-18 10:31:59	ga_ls7e_ard_3-1-0_103078_2019-02-18_final
2019-02-25 10:37:09	ga_ls7e_ard_3-1-0_104076_2019-02-25_final
2019-02-25 10:37:33	ga_ls7e_ard_3-1-0_104077_2019-02-25_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-06 10:31:29	ga_ls7e_ard_3-1-0_103078_2019-03-06_final
2019-03-10 10:05:26	ga_ls7e_ard_3-1-0_099075_2019-03-10_final
2019-03-10 10:05:50	ga_ls7e_ard_3-1-0_099076_2019-03-10_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-16 09:29:21	ga_ls7e_ard_3-1-0_093078_2019-03-15_final
2019-03-17 10:11:23	ga_ls7e_ard_3-1-0_100075_2019-03-17_final
2019-05-19 09:29:01	ga_ls7e_ard_3-1-0_093083_2019-05-18_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-08-24 10:05:21	ga_ls7e_ard_3-1-0_100075_2019-08-24_final
2019-09-05 10:27:09	ga_ls7e_ard_3-1-0_104069_2019-09-05_final
2019-09-09 10:04:39	ga_ls7e_ard_3-1-0_100075_2019-09-09_final
2019-09-09 10:07:27	ga_ls7e_ard_3-1-0_100082_2019-09-09_final
2019-09-13 11:19:50	ga_ls7e_ard_3-1-0_112078_2019-09-13_final
2019-09-15 09:28:30	ga_ls7e_ard_3-1-0_094078_2019-09-14_final
2019-09-18 10:00:52	ga_ls7e_ard_3-1-0_099082_2019-09-18_final
2019-09-30 10:23:28	ga_ls7e_ard_3-1-0_103078_2019-09-30_final
2019-10-12 10:46:30	ga_ls7e_ard_3-1-0_107075_2019-10-12_final
2019-10-21 09:02:15	ga_ls7e_ard_3-1-0_090078_2019-10-20_final
2019-10-23 10:25:06	ga_ls7e_ard_3-1-0_104069_2019-10-23_final
2019-11-01 10:20:07	ga_ls7e_ard_3-1-0_103073_2019-11-01_final
2019-11-01 10:22:31	ga_ls7e_ard_3-1-0_103079_2019-11-01_final
2019-11-05 09:58:25	ga_ls7e_ard_3-1-0_099081_2019-11-05_final
2019-11-12 10:01:53	ga_ls7e_ard_3-1-0_100075_2019-11-12_final
2019-11-17 10:20:59	ga_ls7e_ard_3-1-0_103077_2019-11-17_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-28 10:01:07	ga_ls7e_ard_3-1-0_100075_2019-11-28_final
2019-12-03 10:18:37	ga_ls7e_ard_3-1-0_103073_2019-12-03_final
2019-12-18 11:14:17	ga_ls7e_ard_3-1-0_112075_2019-12-18_final
2019-12-26 10:22:50	ga_ls7e_ard_3-1-0_104071_2019-12-26_final
2020-01-05 09:24:06	ga_ls7e_ard_3-1-0_094080_2020-01-04_final
2020-01-08 09:55:39	ga_ls7e_ard_3-1-0_099082_2020-01-08_final
2020-01-27 10:20:26	ga_ls7e_ard_3-1-0_104069_2020-01-27_final
2020-02-20 11:10:38	ga_ls7e_ard_3-1-0_112074_2020-02-20_final
2020-02-25 09:53:13	ga_ls7e_ard_3-1-0_099082_2020-02-25_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-04-08 11:10:23	ga_ls7e_ard_3-1-0_112080_2020-04-08_final
2020-04-13 09:50:33	ga_ls7e_ard_3-1-0_099082_2020-04-13_final
2020-04-16 10:18:53	ga_ls7e_ard_3-1-0_104076_2020-04-16_final
2020-04-25 10:09:47	ga_ls7e_ard_3-1-0_103070_2020-04-25_final
2020-04-26 09:18:53	ga_ls7e_ard_3-1-0_094082_2020-04-25_final
2022-03-18 08:55:24	ga_ls7e_ard_3-2-1_099083_2022-03-17_final
2022-03-21 09:23:14	ga_ls7e_ard_3-2-1_104076_2022-03-20_final
2022-03-22 08:30:19	ga_ls7e_ard_3-2-1_095083_2022-03-21_final
2022-03-25 09:00:32	ga_ls7e_ard_3-2-1_100082_2022-03-24_final
2022-03-26 09:39:18	ga_ls7e_ard_3-2-1_107071_2022-03-26_final
2022-03-27 08:44:24	ga_ls7e_ard_3-2-1_098073_2022-03-26_final
2022-03-27 08:46:23	ga_ls7e_ard_3-2-1_098078_2022-03-26_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-04-01 09:06:27	ga_ls7e_ard_3-2-1_101083_2022-03-31_final
2022-04-02 09:50:00	ga_ls7e_ard_3-2-1_108084_2022-04-02_final
2022-04-03 08:53:53	ga_ls7e_ard_3-2-1_099083_2022-04-02_final
2022-04-04 07:57:46	ga_ls7e_ard_3-2-1_090082_2022-04-03_final
2022-04-05 08:39:44	ga_ls7e_ard_3-2-1_097079_2022-04-04_final
2022-04-05 08:40:31	ga_ls7e_ard_3-2-1_097081_2022-04-04_final
2022-04-05 10:17:00	ga_ls7e_ard_3-2-1_113075_2022-04-05_final
2022-04-05 10:17:48	ga_ls7e_ard_3-2-1_113077_2022-04-05_final
2022-04-05 10:18:12	ga_ls7e_ard_3-2-1_113078_2022-04-05_final
2022-04-06 09:21:41	ga_ls7e_ard_3-2-1_104076_2022-04-05_final
2022-04-06 09:22:05	ga_ls7e_ard_3-2-1_104077_2022-04-05_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