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
1999-09-24 11:12:04	ga_ls7e_ard_3-1-0_110072_1999-09-24_final
1999-11-25 09:50:56	ga_ls7e_ard_3-1-0_096086_1999-11-25_final
2001-11-04 10:43:57	ga_ls7e_ard_3-1-0_106075_2001-11-04_final
2003-12-24 09:33:29	ga_ls7e_ard_3-1-0_094083_2003-12-24_final
2007-05-02 11:06:58	ga_ls7e_ard_3-1-0_109081_2007-05-02_final
2007-10-23 09:39:05	ga_ls7e_ard_3-1-0_095079_2007-10-23_final
2008-05-14 11:42:00	ga_ls7e_ard_3-1-0_115077_2008-05-14_final
2008-06-19 11:18:59	ga_ls7e_ard_3-1-0_111082_2008-06-19_final
2008-08-01 10:55:36	ga_ls7e_ard_3-1-0_108071_2008-08-01_final
2008-08-05 10:30:27	ga_ls7e_ard_3-1-0_104070_2008-08-05_final
2008-10-20 10:56:42	ga_ls7e_ard_3-1-0_108075_2008-10-20_final
2009-01-11 09:50:02	ga_ls7e_ard_3-1-0_097076_2009-01-11_final
2009-02-11 09:10:33	ga_ls7e_ard_3-1-0_090085_2009-02-10_final
2009-05-11 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-05-10_final
2009-08-31 09:03:05	ga_ls7e_ard_3-1-0_089081_2009-08-30_final
2009-09-05 10:58:07	ga_ls7e_ard_3-1-0_108075_2009-09-05_final
2009-10-23 11:01:00	ga_ls7e_ard_3-1-0_108082_2009-10-23_final
2009-11-26 10:46:19	ga_ls7e_ard_3-1-0_106075_2009-11-26_final
2010-04-29 11:28:27	ga_ls7e_ard_3-1-0_112084_2010-04-29_final
2010-05-10 09:29:47	ga_ls7e_ard_3-1-0_093081_2010-05-09_final
2010-06-14 10:00:16	ga_ls7e_ard_3-1-0_098080_2010-06-14_final
2010-10-29 11:32:09	ga_ls7e_ard_3-1-0_113077_2010-10-29_final
2010-12-23 10:01:13	ga_ls7e_ard_3-1-0_098080_2010-12-23_final
2011-04-24 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-04-24_final
2011-07-09 11:04:16	ga_ls7e_ard_3-1-0_108082_2011-07-09_final
2011-08-09 10:18:06	ga_ls7e_ard_3-1-0_101075_2011-08-09_final
2011-08-25 10:18:04	ga_ls7e_ard_3-1-0_101075_2011-08-25_final
2011-10-13 10:59:35	ga_ls7e_ard_3-1-0_108071_2011-10-13_final
2011-12-07 11:10:17	ga_ls7e_ard_3-1-0_109081_2011-12-07_final
2012-01-03 10:49:36	ga_ls7e_ard_3-1-0_106075_2012-01-03_final
2012-02-04 10:49:40	ga_ls7e_ard_3-1-0_106075_2012-02-04_final
2012-04-23 11:46:14	ga_ls7e_ard_3-1-0_115077_2012-04-23_final
2012-07-28 11:46:55	ga_ls7e_ard_3-1-0_115077_2012-07-28_final
2012-11-15 10:20:38	ga_ls7e_ard_3-1-0_101075_2012-11-15_final
2013-04-08 10:20:43	ga_ls7e_ard_3-1-0_101075_2013-04-08_final
2014-08-01 10:22:19	ga_ls7e_ard_3-1-0_101075_2014-08-01_final
2014-11-30 10:19:15	ga_ls7e_ard_3-1-0_100081_2014-11-30_final
2015-06-02 11:07:28	ga_ls7e_ard_3-1-0_108075_2015-06-02_final
2015-07-16 11:36:00	ga_ls7e_ard_3-1-0_112084_2015-07-16_final
2016-09-24 09:34:59	ga_ls7e_ard_3-1-0_092083_2016-09-24_final
2016-09-25 11:54:45	ga_ls7e_ard_3-1-0_115077_2016-09-25_final
2017-08-10 11:10:33	ga_ls7e_ard_3-1-0_108075_2017-08-10_final
2018-01-25 10:22:42	ga_ls7e_ard_3-1-0_100081_2018-01-25_final
2018-04-11 10:42:02	ga_ls7e_ard_3-1-0_104070_2018-04-11_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-07-16 10:40:20	ga_ls7e_ard_3-1-0_104070_2018-07-16_final
2018-09-02 10:39:26	ga_ls7e_ard_3-1-0_104070_2018-09-02_final
2019-02-19 09:37:32	ga_ls7e_ard_3-1-0_094081_2019-02-19_final
2019-02-22 10:09:32	ga_ls7e_ard_3-1-0_099084_2019-02-22_final
2019-02-26 09:41:06	ga_ls7e_ard_3-1-0_095075_2019-02-26_final
2019-03-01 10:13:54	ga_ls7e_ard_3-1-0_100080_2019-03-01_final
2019-03-07 11:11:55	ga_ls7e_ard_3-1-0_110071_2019-03-07_final
2019-03-23 11:13:23	ga_ls7e_ard_3-1-0_110076_2019-03-23_final
2019-05-16 10:31:56	ga_ls7e_ard_3-1-0_104070_2019-05-16_final
2019-08-25 09:12:52	ga_ls7e_ard_3-1-0_091083_2019-08-24_final
2019-09-08 09:23:50	ga_ls7e_ard_3-1-0_093081_2019-09-07_final
2019-09-08 11:03:30	ga_ls7e_ard_3-1-0_109083_2019-09-08_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-18 10:00:52	ga_ls7e_ard_3-1-0_099082_2019-09-18_final
2019-09-22 09:35:10	ga_ls7e_ard_3-1-0_095080_2019-09-22_final
2019-09-27 09:53:06	ga_ls7e_ard_3-1-0_098079_2019-09-27_final
2019-09-27 09:53:53	ga_ls7e_ard_3-1-0_098081_2019-09-27_final
2019-10-10 11:01:44	ga_ls7e_ard_3-1-0_109082_2019-10-10_final
2019-10-25 10:17:50	ga_ls7e_ard_3-1-0_102082_2019-10-25_final
2019-10-28 10:47:49	ga_ls7e_ard_3-1-0_107080_2019-10-28_final
2019-11-01 10:23:19	ga_ls7e_ard_3-1-0_103081_2019-11-01_final
2019-11-03 10:08:04	ga_ls7e_ard_3-1-0_101074_2019-11-03_final
2019-11-18 11:04:12	ga_ls7e_ard_3-1-0_110077_2019-11-18_final
2019-11-21 09:58:28	ga_ls7e_ard_3-1-0_099083_2019-11-21_final
2019-11-22 10:38:05	ga_ls7e_ard_3-1-0_106074_2019-11-22_final
2019-11-23 09:41:14	ga_ls7e_ard_3-1-0_097071_2019-11-23_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-11-27 10:57:59	ga_ls7e_ard_3-1-0_109078_2019-11-27_final
2019-12-13 10:57:12	ga_ls7e_ard_3-1-0_109078_2019-12-13_final
2019-12-18 09:33:49	ga_ls7e_ard_3-1-0_096071_2019-12-18_final
2019-12-25 09:44:49	ga_ls7e_ard_3-1-0_097084_2019-12-25_final
2019-12-29 10:53:11	ga_ls7e_ard_3-1-0_109070_2019-12-29_final
2020-01-04 10:16:11	ga_ls7e_ard_3-1-0_103071_2020-01-04_final
2020-01-05 09:24:30	ga_ls7e_ard_3-1-0_094081_2020-01-04_final
2020-01-10 11:19:17	ga_ls7e_ard_3-1-0_113075_2020-01-10_final
2020-01-17 09:48:38	ga_ls7e_ard_3-1-0_098081_2020-01-17_final
2020-01-19 11:14:15	ga_ls7e_ard_3-1-0_112079_2020-01-19_final
2020-01-30 10:55:58	ga_ls7e_ard_3-1-0_109081_2020-01-30_final
2020-02-04 09:36:10	ga_ls7e_ard_3-1-0_096083_2020-02-04_final
2020-02-04 09:36:58	ga_ls7e_ard_3-1-0_096085_2020-02-04_final
2020-02-04 11:12:15	ga_ls7e_ard_3-1-0_112076_2020-02-04_final
2020-02-05 10:17:23	ga_ls7e_ard_3-1-0_103078_2020-02-05_final
2020-03-02 09:15:49	ga_ls7e_ard_3-1-0_093082_2020-03-01_final
2020-03-13 08:57:29	ga_ls7e_ard_3-1-0_090084_2020-03-12_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-30 11:16:41	ga_ls7e_ard_3-1-0_113079_2020-03-30_final
2020-04-08 11:10:47	ga_ls7e_ard_3-1-0_112081_2020-04-08_final
2020-04-09 10:14:42	ga_ls7e_ard_3-1-0_103080_2020-04-09_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-15 09:34:05	ga_ls7e_ard_3-1-0_097072_2020-04-15_final
2020-04-28 09:05:37	ga_ls7e_ard_3-1-0_092080_2020-04-27_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-31 09:57:22	ga_ls7e_ard_3-2-1_110071_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