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
1999-07-06 11:11:52	ga_ls7e_ard_3-1-0_110072_1999-07-06_final
2000-02-03 10:48:22	ga_ls7e_ard_3-1-0_106075_2000-02-03_final
2000-04-07 10:48:00	ga_ls7e_ard_3-1-0_106075_2000-04-07_final
2000-06-06 11:10:57	ga_ls7e_ard_3-1-0_110072_2000-06-06_final
2000-09-26 11:09:33	ga_ls7e_ard_3-1-0_110072_2000-09-26_final
2001-09-13 11:07:39	ga_ls7e_ard_3-1-0_110072_2001-09-13_final
2002-07-10 09:56:32	ga_ls7e_ard_3-1-0_098080_2002-07-10_final
2002-08-31 11:07:05	ga_ls7e_ard_3-1-0_110072_2002-08-31_final
2004-03-20 11:18:33	ga_ls7e_ard_3-1-0_111082_2004-03-20_final
2004-06-20 10:03:44	ga_ls7e_ard_3-1-0_099081_2004-06-20_final
2005-08-20 09:02:13	ga_ls7e_ard_3-1-0_089081_2005-08-19_final
2005-11-01 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-11-01_final
2006-05-15 11:06:35	ga_ls7e_ard_3-1-0_109081_2006-05-15_final
2006-08-30 09:10:19	ga_ls7e_ard_3-1-0_090085_2006-08-29_final
2007-01-10 09:29:51	ga_ls7e_ard_3-1-0_093086_2007-01-09_final
2007-03-03 09:06:36	ga_ls7e_ard_3-1-0_089089_2007-03-02_final
2007-03-22 09:35:09	ga_ls7e_ard_3-1-0_094083_2007-03-22_final
2007-04-11 09:11:13	ga_ls7e_ard_3-1-0_090085_2007-04-10_final
2007-09-11 09:02:45	ga_ls7e_ard_3-1-0_089081_2007-09-10_final
2008-02-25 10:45:49	ga_ls7e_ard_3-1-0_106075_2008-02-25_final
2008-03-01 09:26:14	ga_ls7e_ard_3-1-0_093077_2008-02-29_final
2008-03-21 09:03:03	ga_ls7e_ard_3-1-0_089081_2008-03-20_final
2008-06-12 09:34:23	ga_ls7e_ard_3-1-0_094083_2008-06-12_final
2009-01-10 10:45:15	ga_ls7e_ard_3-1-0_106075_2009-01-10_final
2009-02-27 09:10:43	ga_ls7e_ard_3-1-0_090085_2009-02-26_final
2009-04-21 09:30:00	ga_ls7e_ard_3-1-0_093086_2009-04-21_final
2009-09-23 10:45:43	ga_ls7e_ard_3-1-0_106075_2009-09-23_final
2009-12-17 09:29:51	ga_ls7e_ard_3-1-0_093084_2009-12-16_final
2010-01-18 11:08:04	ga_ls7e_ard_3-1-0_109081_2010-01-18_final
2011-09-26 10:17:56	ga_ls7e_ard_3-1-0_101075_2011-09-26_final
2011-09-29 10:48:50	ga_ls7e_ard_3-1-0_106075_2011-09-29_final
2011-11-09 09:06:25	ga_ls7e_ard_3-1-0_089081_2011-11-08_final
2012-05-13 11:23:59	ga_ls7e_ard_3-1-0_111082_2012-05-13_final
2012-11-07 11:12:21	ga_ls7e_ard_3-1-0_109081_2012-11-07_final
2013-01-23 10:40:36	ga_ls7e_ard_3-1-0_104078_2013-01-23_final
2014-01-29 11:13:21	ga_ls7e_ard_3-1-0_109081_2014-01-29_final
2014-12-19 09:11:26	ga_ls7e_ard_3-1-0_089081_2014-12-18_final
2015-04-20 11:28:30	ga_ls7e_ard_3-1-0_111082_2015-04-20_final
2016-10-04 10:10:54	ga_ls7e_ard_3-1-0_098080_2016-10-04_final
2017-07-11 09:23:21	ga_ls7e_ard_3-1-0_090085_2017-07-10_final
2017-07-29 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-07-29_final
2018-09-24 10:05:51	ga_ls7e_ard_3-1-0_098080_2018-09-24_final
2019-02-23 09:16:17	ga_ls7e_ard_3-1-0_090090_2019-02-22_final
2019-03-03 09:56:41	ga_ls7e_ard_3-1-0_098068_2019-03-03_final
2019-03-08 10:16:40	ga_ls7e_ard_3-1-0_101072_2019-03-08_final
2019-03-12 09:55:00	ga_ls7e_ard_3-1-0_097080_2019-03-12_final
2019-03-18 10:55:01	ga_ls7e_ard_3-1-0_107076_2019-03-18_final
2019-03-22 10:27:46	ga_ls7e_ard_3-1-0_103070_2019-03-22_final
2019-03-22 10:31:45	ga_ls7e_ard_3-1-0_103080_2019-03-22_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-04-15 11:21:10	ga_ls7e_ard_3-1-0_111082_2019-04-15_final
2019-08-05 11:16:55	ga_ls7e_ard_3-1-0_111082_2019-08-05_final
2019-08-30 11:07:17	ga_ls7e_ard_3-1-0_110076_2019-08-30_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-05 10:27:09	ga_ls7e_ard_3-1-0_104069_2019-09-05_final
2019-09-06 11:15:57	ga_ls7e_ard_3-1-0_111083_2019-09-06_final
2019-09-11 11:27:54	ga_ls7e_ard_3-1-0_114067_2019-09-11_final
2019-09-21 10:28:26	ga_ls7e_ard_3-1-0_104074_2019-09-21_final
2019-09-27 11:29:59	ga_ls7e_ard_3-1-0_114074_2019-09-27_final
2019-10-05 09:07:19	ga_ls7e_ard_3-1-0_090089_2019-10-04_final
2019-10-08 11:14:35	ga_ls7e_ard_3-1-0_111083_2019-10-08_final
2019-10-18 10:08:22	ga_ls7e_ard_3-1-0_101073_2019-10-18_final
2019-10-18 10:09:58	ga_ls7e_ard_3-1-0_101077_2019-10-18_final
2019-10-22 09:43:05	ga_ls7e_ard_3-1-0_097072_2019-10-22_final
2019-10-22 11:23:09	ga_ls7e_ard_3-1-0_113075_2019-10-22_final
2019-10-23 10:26:42	ga_ls7e_ard_3-1-0_104073_2019-10-23_final
2019-10-28 10:49:24	ga_ls7e_ard_3-1-0_107084_2019-10-28_final
2019-11-01 10:18:55	ga_ls7e_ard_3-1-0_103070_2019-11-01_final
2019-11-05 09:58:49	ga_ls7e_ard_3-1-0_099082_2019-11-05_final
2019-11-06 10:38:50	ga_ls7e_ard_3-1-0_106074_2019-11-06_final
2019-11-11 11:00:44	ga_ls7e_ard_3-1-0_109083_2019-11-11_final
2019-11-16 11:18:39	ga_ls7e_ard_3-1-0_112082_2019-11-16_final
2019-11-23 09:44:01	ga_ls7e_ard_3-1-0_097078_2019-11-23_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-12-03 10:19:01	ga_ls7e_ard_3-1-0_103074_2019-12-03_final
2019-12-04 11:03:26	ga_ls7e_ard_3-1-0_110077_2019-12-04_final
2019-12-09 11:23:19	ga_ls7e_ard_3-1-0_113081_2019-12-09_final
2019-12-09 11:24:31	ga_ls7e_ard_3-1-0_113084_2019-12-09_final
2019-12-17 08:55:23	ga_ls7e_ard_3-1-0_089083_2019-12-16_final
2019-12-19 10:16:37	ga_ls7e_ard_3-1-0_103070_2019-12-19_final
2019-12-19 10:19:49	ga_ls7e_ard_3-1-0_103078_2019-12-19_final
2019-12-24 10:38:06	ga_ls7e_ard_3-1-0_106078_2019-12-24_final
2020-01-11 10:24:00	ga_ls7e_ard_3-1-0_104076_2020-01-11_final
2020-01-12 11:09:13	ga_ls7e_ard_3-1-0_111081_2020-01-12_final
2020-01-12 11:09:37	ga_ls7e_ard_3-1-0_111082_2020-01-12_final
2020-01-14 09:15:53	ga_ls7e_ard_3-1-0_093076_2020-01-13_final
2020-01-17 11:26:19	ga_ls7e_ard_3-1-0_114078_2020-01-17_final
2020-01-19 11:15:27	ga_ls7e_ard_3-1-0_112082_2020-01-19_final
2020-01-26 11:18:29	ga_ls7e_ard_3-1-0_113075_2020-01-26_final
2020-02-09 09:54:03	ga_ls7e_ard_3-1-0_099082_2020-02-09_final
2020-02-22 10:59:22	ga_ls7e_ard_3-1-0_110077_2020-02-22_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-03-18 10:49:02	ga_ls7e_ard_3-1-0_109070_2020-03-18_final
2020-03-23 11:12:05	ga_ls7e_ard_3-1-0_112082_2020-03-23_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-17 11:03:17	ga_ls7e_ard_3-1-0_111079_2020-04-17_final
2020-04-22 09:39:27	ga_ls7e_ard_3-1-0_098071_2020-04-22_final
2022-03-23 09:13:05	ga_ls7e_ard_3-2-1_102082_2022-03-22_final
2022-03-24 09:56:39	ga_ls7e_ard_3-2-1_109083_2022-03-24_final
2022-03-31 10:00:58	ga_ls7e_ard_3-2-1_110080_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