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
2000-06-04 11:28:08	ga_ls7e_ard_3-1-0_112084_2000-06-04_final
2000-07-10 10:57:52	ga_ls7e_ard_3-1-0_108071_2000-07-10_final
2000-11-06 11:06:51	ga_ls7e_ard_3-1-0_109081_2000-11-06_final
2001-01-03 11:42:23	ga_ls7e_ard_3-1-0_115077_2001-01-03_final
2002-12-28 09:35:09	ga_ls7e_ard_3-1-0_095073_2002-12-28_final
2003-01-13 11:17:41	ga_ls7e_ard_3-1-0_111082_2003-01-13_final
2003-03-17 10:29:57	ga_ls7e_ard_3-1-0_104070_2003-03-17_final
2003-07-19 10:59:17	ga_ls7e_ard_3-1-0_108082_2003-07-19_final
2004-10-29 10:30:03	ga_ls7e_ard_3-1-0_104070_2004-10-29_final
2004-11-01 11:05:23	ga_ls7e_ard_3-1-0_109081_2004-11-01_final
2005-01-29 11:00:10	ga_ls7e_ard_3-1-0_108082_2005-01-29_final
2005-08-16 09:27:45	ga_ls7e_ard_3-1-0_093083_2005-08-15_final
2005-09-18 10:09:58	ga_ls7e_ard_3-1-0_100081_2005-09-18_final
2006-10-15 11:00:13	ga_ls7e_ard_3-1-0_108082_2006-10-15_final
2006-11-23 11:06:32	ga_ls7e_ard_3-1-0_109081_2006-11-23_final
2007-06-14 10:46:39	ga_ls7e_ard_3-1-0_106077_2007-06-14_final
2007-12-10 11:19:34	ga_ls7e_ard_3-1-0_111082_2007-12-10_final
2008-05-28 10:14:35	ga_ls7e_ard_3-1-0_101075_2008-05-28_final
2008-10-04 10:56:39	ga_ls7e_ard_3-1-0_108075_2008-10-04_final
2008-12-14 11:06:00	ga_ls7e_ard_3-1-0_109081_2008-12-14_final
2009-01-24 11:00:29	ga_ls7e_ard_3-1-0_108082_2009-01-24_final
2009-07-15 11:26:35	ga_ls7e_ard_3-1-0_112084_2009-07-15_final
2009-08-31 09:03:05	ga_ls7e_ard_3-1-0_089081_2009-08-30_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2010-06-03 10:16:49	ga_ls7e_ard_3-1-0_101075_2010-06-03_final
2010-06-11 11:08:39	ga_ls7e_ard_3-1-0_109081_2010-06-11_final
2010-06-27 11:08:42	ga_ls7e_ard_3-1-0_109081_2010-06-27_final
2010-09-27 11:33:07	ga_ls7e_ard_3-1-0_113080_2010-09-27_final
2011-01-16 10:48:53	ga_ls7e_ard_3-1-0_106075_2011-01-16_final
2011-11-05 09:29:52	ga_ls7e_ard_3-1-0_093078_2011-11-04_final
2012-10-29 09:34:04	ga_ls7e_ard_3-1-0_094067_2012-10-29_final
2012-11-23 11:12:30	ga_ls7e_ard_3-1-0_109081_2012-11-23_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-08-24 09:22:39	ga_ls7e_ard_3-1-0_091086_2013-08-23_final
2013-11-07 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-11-07_final
2013-11-23 10:37:27	ga_ls7e_ard_3-1-0_104070_2013-11-23_final
2014-01-11 11:25:45	ga_ls7e_ard_3-1-0_111082_2014-01-11_final
2014-04-23 09:10:06	ga_ls7e_ard_3-1-0_089081_2014-04-22_final
2015-03-12 11:22:24	ga_ls7e_ard_3-1-0_110083_2015-03-12_final
2015-07-16 09:55:55	ga_ls7e_ard_3-1-0_096081_2015-07-16_final
2015-09-20 09:38:11	ga_ls7e_ard_3-1-0_094067_2015-09-20_final
2015-10-11 10:00:29	ga_ls7e_ard_3-1-0_097076_2015-10-11_final
2016-03-26 10:10:17	ga_ls7e_ard_3-1-0_098080_2016-03-26_final
2017-05-09 10:02:50	ga_ls7e_ard_3-1-0_097076_2017-05-09_final
2018-02-17 10:26:11	ga_ls7e_ard_3-1-0_101075_2018-02-17_final
2018-04-14 11:17:17	ga_ls7e_ard_3-1-0_109081_2018-04-14_final
2018-05-05 11:36:38	ga_ls7e_ard_3-1-0_112084_2018-05-05_final
2018-12-04 11:48:02	ga_ls7e_ard_3-1-0_115077_2018-12-04_final
2019-02-17 11:30:02	ga_ls7e_ard_3-1-0_112084_2019-02-17_final
2019-03-11 09:12:35	ga_ls7e_ard_3-1-0_090082_2019-03-10_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-19 09:59:22	ga_ls7e_ard_3-1-0_098076_2019-03-19_final
2019-03-19 11:37:51	ga_ls7e_ard_3-1-0_114075_2019-03-19_final
2019-03-21 09:48:56	ga_ls7e_ard_3-1-0_096081_2019-03-21_final
2019-05-12 10:57:13	ga_ls7e_ard_3-1-0_108071_2019-05-12_final
2019-08-26 09:56:53	ga_ls7e_ard_3-1-0_098085_2019-08-26_final
2019-09-02 10:01:10	ga_ls7e_ard_3-1-0_099081_2019-09-02_final
2019-09-08 09:23:02	ga_ls7e_ard_3-1-0_093079_2019-09-07_final
2019-09-23 10:18:23	ga_ls7e_ard_3-1-0_102080_2019-09-23_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-09-26 09:10:40	ga_ls7e_ard_3-1-0_091081_2019-09-25_final
2019-09-27 09:53:06	ga_ls7e_ard_3-1-0_098079_2019-09-27_final
2019-09-27 11:30:23	ga_ls7e_ard_3-1-0_114075_2019-09-27_final
2019-09-28 10:35:31	ga_ls7e_ard_3-1-0_105077_2019-09-28_final
2019-09-29 11:20:20	ga_ls7e_ard_3-1-0_112081_2019-09-29_final
2019-10-03 09:16:34	ga_ls7e_ard_3-1-0_092081_2019-10-02_final
2019-10-06 09:42:57	ga_ls7e_ard_3-1-0_097070_2019-10-06_final
2019-10-07 10:26:58	ga_ls7e_ard_3-1-0_104072_2019-10-07_final
2019-10-10 10:57:45	ga_ls7e_ard_3-1-0_109072_2019-10-10_final
2019-10-15 09:36:48	ga_ls7e_ard_3-1-0_096071_2019-10-15_final
2019-10-18 10:07:58	ga_ls7e_ard_3-1-0_101072_2019-10-18_final
2019-10-19 09:16:18	ga_ls7e_ard_3-1-0_092082_2019-10-18_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-13 09:09:48	ga_ls7e_ard_3-1-0_091084_2019-11-12_final
2019-12-07 09:57:18	ga_ls7e_ard_3-1-0_099082_2019-12-07_final
2019-12-19 10:20:37	ga_ls7e_ard_3-1-0_103080_2019-12-19_final
2020-01-03 09:34:10	ga_ls7e_ard_3-1-0_096074_2020-01-03_final
2020-01-05 11:02:59	ga_ls7e_ard_3-1-0_110080_2020-01-05_final
2020-01-20 10:17:47	ga_ls7e_ard_3-1-0_103077_2020-01-20_final
2020-01-26 11:18:29	ga_ls7e_ard_3-1-0_113075_2020-01-26_final
2020-01-30 10:54:22	ga_ls7e_ard_3-1-0_109077_2020-01-30_final
2020-02-06 11:01:23	ga_ls7e_ard_3-1-0_110080_2020-02-06_final
2020-02-11 09:41:59	ga_ls7e_ard_3-1-0_097083_2020-02-11_final
2020-02-15 10:55:09	ga_ls7e_ard_3-1-0_109081_2020-02-15_final
2020-02-18 09:47:00	ga_ls7e_ard_3-1-0_098081_2020-02-18_final
2020-03-05 09:46:09	ga_ls7e_ard_3-1-0_098081_2020-03-05_final
2020-03-05 11:24:14	ga_ls7e_ard_3-1-0_114079_2020-03-05_final
2020-03-11 09:09:57	ga_ls7e_ard_3-1-0_092084_2020-03-10_final
2020-03-14 09:36:18	ga_ls7e_ard_3-1-0_097073_2020-03-14_final
2020-04-06 09:44:23	ga_ls7e_ard_3-1-0_098081_2020-04-06_final
2020-04-26 10:56:10	ga_ls7e_ard_3-1-0_110078_2020-04-26_final
2021-05-06 08:59:57	ga_ls7e_ard_3-2-0_095084_2021-05-05_final
2021-05-24 08:43:17	ga_ls7e_ard_3-2-0_093077_2021-05-23_final
2021-05-24 08:44:29	ga_ls7e_ard_3-2-0_093080_2021-05-23_final
2021-05-24 10:20:10	ga_ls7e_ard_3-2-0_109072_2021-05-24_final
2022-03-17 09:49:31	ga_ls7e_ard_3-2-1_108079_2022-03-17_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-23 09:12:17	ga_ls7e_ard_3-2-1_102080_2022-03-22_final
2022-03-29 08:34:14	ga_ls7e_ard_3-2-1_096079_2022-03-28_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