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
2000-07-15 11:20:45	ga_ls7e_ard_3-1-0_111082_2000-07-15_final
2001-07-06 10:49:32	ga_ls7e_ard_3-1-0_107071_2001-07-06_final
2001-09-04 09:35:25	ga_ls7e_ard_3-1-0_095073_2001-09-04_final
2002-11-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-11-25_final
2003-10-14 09:28:10	ga_ls7e_ard_3-1-0_093087_2003-10-13_final
2004-05-15 10:27:02	ga_ls7e_ard_3-1-0_103077_2004-05-15_final
2006-01-25 09:17:13	ga_ls7e_ard_3-1-0_091086_2006-01-24_final
2007-03-08 10:58:27	ga_ls7e_ard_3-1-0_108075_2007-03-08_final
2007-05-29 09:08:57	ga_ls7e_ard_3-1-0_090080_2007-05-28_final
2008-03-01 09:29:02	ga_ls7e_ard_3-1-0_093084_2008-02-29_final
2008-03-11 10:06:03	ga_ls7e_ard_3-1-0_099084_2008-03-11_final
2008-05-09 11:26:17	ga_ls7e_ard_3-1-0_112084_2008-05-09_final
2008-07-02 10:45:08	ga_ls7e_ard_3-1-0_106075_2008-07-02_final
2008-08-15 09:30:11	ga_ls7e_ard_3-1-0_094074_2008-08-15_final
2008-10-20 10:55:06	ga_ls7e_ard_3-1-0_108071_2008-10-20_final
2008-11-07 10:44:37	ga_ls7e_ard_3-1-0_106075_2008-11-07_final
2008-12-05 09:27:37	ga_ls7e_ard_3-1-0_094067_2008-12-04_final
2008-12-27 10:30:49	ga_ls7e_ard_3-1-0_104070_2008-12-27_final
2009-11-06 09:28:43	ga_ls7e_ard_3-1-0_094067_2009-11-05_final
2009-11-08 11:01:15	ga_ls7e_ard_3-1-0_108082_2009-11-08_final
2009-12-24 09:29:23	ga_ls7e_ard_3-1-0_094067_2009-12-23_final
2010-01-02 11:07:50	ga_ls7e_ard_3-1-0_109081_2010-01-02_final
2010-02-26 09:36:37	ga_ls7e_ard_3-1-0_094083_2010-02-26_final
2010-04-24 11:08:43	ga_ls7e_ard_3-1-0_109081_2010-04-24_final
2010-05-05 10:47:45	ga_ls7e_ard_3-1-0_106075_2010-05-05_final
2010-09-27 11:33:07	ga_ls7e_ard_3-1-0_113080_2010-09-27_final
2010-11-11 10:59:01	ga_ls7e_ard_3-1-0_108071_2010-11-11_final
2011-03-15 11:29:49	ga_ls7e_ard_3-1-0_112084_2011-03-15_final
2011-05-11 11:22:52	ga_ls7e_ard_3-1-0_111082_2011-05-11_final
2011-07-07 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-07-07_final
2011-07-08 10:18:12	ga_ls7e_ard_3-1-0_101075_2011-07-08_final
2012-01-12 09:06:57	ga_ls7e_ard_3-1-0_089081_2012-01-11_final
2012-03-16 10:45:31	ga_ls7e_ard_3-1-0_105080_2012-03-16_final
2012-09-02 11:24:36	ga_ls7e_ard_3-1-0_111082_2012-09-02_final
2013-08-13 11:14:21	ga_ls7e_ard_3-1-0_110072_2013-08-13_final
2013-12-19 09:34:33	ga_ls7e_ard_3-1-0_094067_2013-12-19_final
2014-04-23 09:10:06	ga_ls7e_ard_3-1-0_089081_2014-04-22_final
2014-06-03 10:38:37	ga_ls7e_ard_3-1-0_104070_2014-06-03_final
2015-06-07 11:28:51	ga_ls7e_ard_3-1-0_111082_2015-06-07_final
2015-09-11 09:46:42	ga_ls7e_ard_3-1-0_095073_2015-09-11_final
2015-09-11 11:29:11	ga_ls7e_ard_3-1-0_111082_2015-09-11_final
2016-04-15 09:40:30	ga_ls7e_ard_3-1-0_094067_2016-04-15_final
2016-11-29 09:23:12	ga_ls7e_ard_3-1-0_090085_2016-11-28_final
2017-09-15 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-09-15_final
2018-03-11 11:30:32	ga_ls7e_ard_3-1-0_111082_2018-03-11_final
2018-05-18 09:27:27	ga_ls7e_ard_3-1-0_091086_2018-05-17_final
2018-06-11 11:51:47	ga_ls7e_ard_3-1-0_115077_2018-06-11_final
2019-02-18 10:32:47	ga_ls7e_ard_3-1-0_103080_2019-02-18_final
2019-02-25 10:35:57	ga_ls7e_ard_3-1-0_104073_2019-02-25_final
2019-02-26 09:40:18	ga_ls7e_ard_3-1-0_095073_2019-02-26_final
2019-02-26 11:19:59	ga_ls7e_ard_3-1-0_111075_2019-02-26_final
2019-03-14 09:42:59	ga_ls7e_ard_3-1-0_095081_2019-03-14_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-03-19 11:37:27	ga_ls7e_ard_3-1-0_114074_2019-03-19_final
2019-07-22 11:04:43	ga_ls7e_ard_3-1-0_109081_2019-07-22_final
2019-09-05 10:31:56	ga_ls7e_ard_3-1-0_104081_2019-09-05_final
2019-09-10 10:45:52	ga_ls7e_ard_3-1-0_107070_2019-09-10_final
2019-09-15 11:08:35	ga_ls7e_ard_3-1-0_110081_2019-09-15_final
2019-09-19 10:41:41	ga_ls7e_ard_3-1-0_106076_2019-09-19_final
2019-09-25 10:04:20	ga_ls7e_ard_3-1-0_100076_2019-09-25_final
2019-09-26 10:47:09	ga_ls7e_ard_3-1-0_107075_2019-09-26_final
2019-10-01 09:29:24	ga_ls7e_ard_3-1-0_094082_2019-09-30_final
2019-10-05 10:40:13	ga_ls7e_ard_3-1-0_106074_2019-10-05_final
2019-10-31 09:36:30	ga_ls7e_ard_3-1-0_096072_2019-10-31_final
2019-11-03 10:10:04	ga_ls7e_ard_3-1-0_101079_2019-11-03_final
2019-11-04 10:54:29	ga_ls7e_ard_3-1-0_108082_2019-11-04_final
2019-11-06 09:01:33	ga_ls7e_ard_3-1-0_090078_2019-11-05_final
2019-11-06 09:04:21	ga_ls7e_ard_3-1-0_090085_2019-11-05_final
2019-11-13 09:08:36	ga_ls7e_ard_3-1-0_091081_2019-11-12_final
2019-11-19 10:06:56	ga_ls7e_ard_3-1-0_101073_2019-11-19_final
2019-11-25 09:33:33	ga_ls7e_ard_3-1-0_095083_2019-11-25_final
2019-11-27 09:21:30	ga_ls7e_ard_3-1-0_093084_2019-11-26_final
2019-12-04 09:27:44	ga_ls7e_ard_3-1-0_094085_2019-12-03_final
2019-12-10 10:23:15	ga_ls7e_ard_3-1-0_104070_2019-12-10_final
2019-12-13 09:20:19	ga_ls7e_ard_3-1-0_093083_2019-12-12_final
2019-12-22 09:12:53	ga_ls7e_ard_3-1-0_092081_2019-12-21_final
2019-12-25 09:42:25	ga_ls7e_ard_3-1-0_097078_2019-12-25_final
2019-12-31 10:45:30	ga_ls7e_ard_3-1-0_107082_2019-12-31_final
2020-01-05 09:21:43	ga_ls7e_ard_3-1-0_094074_2020-01-04_final
2020-01-07 09:13:38	ga_ls7e_ard_3-1-0_092085_2020-01-06_final
2020-01-07 10:51:19	ga_ls7e_ard_3-1-0_108082_2020-01-07_final
2020-01-09 08:59:11	ga_ls7e_ard_3-1-0_090080_2020-01-08_final
2020-02-09 09:53:39	ga_ls7e_ard_3-1-0_099081_2020-02-09_final
2020-02-10 08:58:23	ga_ls7e_ard_3-1-0_090082_2020-02-09_final
2020-02-21 10:16:09	ga_ls7e_ard_3-1-0_103077_2020-02-21_final
2020-03-03 09:55:50	ga_ls7e_ard_3-1-0_100074_2020-03-03_final
2020-03-05 11:24:38	ga_ls7e_ard_3-1-0_114080_2020-03-05_final
2020-03-10 10:01:38	ga_ls7e_ard_3-1-0_101074_2020-03-10_final
2020-03-13 08:55:53	ga_ls7e_ard_3-1-0_090080_2020-03-12_final
2020-03-16 11:07:06	ga_ls7e_ard_3-1-0_111084_2020-03-16_final
2020-03-20 09:04:04	ga_ls7e_ard_3-1-0_091086_2020-03-19_final
2020-03-31 10:18:36	ga_ls7e_ard_3-1-0_104073_2020-03-31_final
2020-04-11 09:59:50	ga_ls7e_ard_3-1-0_101074_2020-04-11_final
2020-04-20 09:52:20	ga_ls7e_ard_3-1-0_100072_2020-04-20_final
2021-02-26 08:46:39	ga_ls7e_ard_3-2-0_092083_2021-02-25_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-03-24 10:59:22	ga_ls7e_ard_3-2-0_114080_2021-03-24_final
2021-03-30 08:44:55	ga_ls7e_ard_3-2-0_092085_2021-03-29_final
2021-04-29 08:52:45	ga_ls7e_ard_3-2-0_094080_2021-04-28_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_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