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
2001-02-26 09:30:46	ga_ls7e_ard_3-1-0_093088_2001-02-26_final
2003-08-16 11:24:40	ga_ls7e_ard_3-1-0_112084_2003-08-16_final
2003-11-06 09:29:50	ga_ls7e_ard_3-1-0_094075_2003-11-05_final
2004-01-22 09:01:56	ga_ls7e_ard_3-1-0_089081_2004-01-21_final
2004-02-08 11:23:22	ga_ls7e_ard_3-1-0_112079_2004-02-08_final
2004-12-10 09:33:47	ga_ls7e_ard_3-1-0_094083_2004-12-10_final
2004-12-20 10:10:09	ga_ls7e_ard_3-1-0_100081_2004-12-20_final
2005-06-13 09:29:53	ga_ls7e_ard_3-1-0_093088_2005-06-12_final
2005-07-31 09:29:50	ga_ls7e_ard_3-1-0_093088_2005-07-30_final
2007-02-02 09:34:57	ga_ls7e_ard_3-1-0_094083_2007-02-02_final
2007-03-19 09:03:27	ga_ls7e_ard_3-1-0_089081_2007-03-18_final
2007-06-14 09:10:57	ga_ls7e_ard_3-1-0_090085_2007-06-13_final
2007-11-26 09:29:50	ga_ls7e_ard_3-1-0_093086_2007-11-25_final
2008-10-27 09:27:18	ga_ls7e_ard_3-1-0_093083_2008-10-26_final
2008-12-11 10:30:41	ga_ls7e_ard_3-1-0_104070_2008-12-11_final
2009-03-01 10:31:16	ga_ls7e_ard_3-1-0_104070_2009-03-01_final
2009-04-21 09:28:48	ga_ls7e_ard_3-1-0_093083_2009-04-20_final
2009-04-22 10:12:28	ga_ls7e_ard_3-1-0_100084_2009-04-22_final
2009-11-22 09:35:18	ga_ls7e_ard_3-1-0_094083_2009-11-22_final
2009-12-14 10:32:12	ga_ls7e_ard_3-1-0_104070_2009-12-14_final
2010-07-10 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-07-10_final
2010-09-16 10:13:11	ga_ls7e_ard_3-1-0_100081_2010-09-16_final
2010-09-19 09:08:24	ga_ls7e_ard_3-1-0_089089_2010-09-18_final
2010-12-01 10:34:08	ga_ls7e_ard_3-1-0_104070_2010-12-01_final
2011-03-30 09:06:31	ga_ls7e_ard_3-1-0_089081_2011-03-29_final
2011-08-02 10:14:21	ga_ls7e_ard_3-1-0_100081_2011-08-02_final
2011-10-01 10:34:29	ga_ls7e_ard_3-1-0_104070_2011-10-01_final
2012-02-29 09:10:14	ga_ls7e_ard_3-1-0_089089_2012-02-28_final
2012-03-12 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-03-12_final
2012-07-06 09:07:34	ga_ls7e_ard_3-1-0_089081_2012-07-05_final
2012-07-18 09:34:51	ga_ls7e_ard_3-1-0_093087_2012-07-18_final
2012-09-24 09:08:26	ga_ls7e_ard_3-1-0_089081_2012-09-23_final
2013-04-20 09:08:51	ga_ls7e_ard_3-1-0_089081_2013-04-19_final
2013-07-02 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-07-02_final
2013-08-19 10:40:09	ga_ls7e_ard_3-1-0_104079_2013-08-19_final
2014-07-05 10:38:45	ga_ls7e_ard_3-1-0_104070_2014-07-05_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2014-08-29 09:10:32	ga_ls7e_ard_3-1-0_089081_2014-08-28_final
2014-12-04 11:30:39	ga_ls7e_ard_3-1-0_112074_2014-12-04_final
2015-08-25 10:41:04	ga_ls7e_ard_3-1-0_104070_2015-08-25_final
2015-10-28 10:41:38	ga_ls7e_ard_3-1-0_104070_2015-10-28_final
2015-12-07 11:34:29	ga_ls7e_ard_3-1-0_112077_2015-12-07_final
2016-07-10 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-07-10_final
2016-07-26 10:43:50	ga_ls7e_ard_3-1-0_104070_2016-07-26_final
2016-09-12 10:43:56	ga_ls7e_ard_3-1-0_104070_2016-09-12_final
2016-09-19 09:15:38	ga_ls7e_ard_3-1-0_089081_2016-09-18_final
2016-12-25 11:38:37	ga_ls7e_ard_3-1-0_112084_2016-12-25_final
2017-01-18 10:43:20	ga_ls7e_ard_3-1-0_104070_2017-01-18_final
2017-06-27 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-06-27_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2018-11-21 10:37:36	ga_ls7e_ard_3-1-0_104070_2018-11-21_final
2018-12-01 09:40:43	ga_ls7e_ard_3-1-0_094083_2018-12-01_final
2019-02-28 09:33:52	ga_ls7e_ard_3-1-0_093088_2019-02-28_final
2019-03-01 10:10:42	ga_ls7e_ard_3-1-0_100072_2019-03-01_final
2019-03-01 10:15:30	ga_ls7e_ard_3-1-0_100084_2019-03-01_final
2019-03-12 11:31:30	ga_ls7e_ard_3-1-0_113074_2019-03-12_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-09-18 09:56:52	ga_ls7e_ard_3-1-0_099072_2019-09-18_final
2019-09-19 09:05:12	ga_ls7e_ard_3-1-0_090082_2019-09-18_final
2019-09-20 11:27:18	ga_ls7e_ard_3-1-0_113082_2019-09-20_final
2019-09-24 09:21:07	ga_ls7e_ard_3-1-0_093076_2019-09-23_final
2019-09-24 10:57:36	ga_ls7e_ard_3-1-0_109070_2019-09-24_final
2019-09-29 11:21:08	ga_ls7e_ard_3-1-0_112083_2019-09-29_final
2019-09-30 10:23:04	ga_ls7e_ard_3-1-0_103077_2019-09-30_final
2019-10-06 11:23:26	ga_ls7e_ard_3-1-0_113074_2019-10-06_final
2019-10-15 11:16:53	ga_ls7e_ard_3-1-0_112074_2019-10-15_final
2019-10-21 09:03:27	ga_ls7e_ard_3-1-0_090081_2019-10-20_final
2019-11-02 09:25:39	ga_ls7e_ard_3-1-0_094076_2019-11-01_final
2019-11-05 09:58:01	ga_ls7e_ard_3-1-0_099080_2019-11-05_final
2019-11-17 10:20:35	ga_ls7e_ard_3-1-0_103076_2019-11-17_final
2019-11-18 09:28:07	ga_ls7e_ard_3-1-0_094084_2019-11-17_final
2019-11-22 09:01:12	ga_ls7e_ard_3-1-0_090079_2019-11-21_final
2019-11-24 10:24:02	ga_ls7e_ard_3-1-0_104070_2019-11-24_final
2019-11-27 09:21:06	ga_ls7e_ard_3-1-0_093083_2019-11-26_final
2019-12-02 11:15:29	ga_ls7e_ard_3-1-0_112076_2019-12-02_final
2019-12-03 10:22:13	ga_ls7e_ard_3-1-0_103082_2019-12-03_final
2019-12-04 09:27:44	ga_ls7e_ard_3-1-0_094085_2019-12-03_final
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_final
2019-12-18 11:17:53	ga_ls7e_ard_3-1-0_112084_2019-12-18_final
2019-12-25 11:23:42	ga_ls7e_ard_3-1-0_113084_2019-12-25_final
2019-12-29 09:19:53	ga_ls7e_ard_3-1-0_093084_2019-12-28_final
2019-12-31 10:42:43	ga_ls7e_ard_3-1-0_107075_2019-12-31_final
2019-12-31 10:45:54	ga_ls7e_ard_3-1-0_107083_2019-12-31_final
2020-01-05 09:21:19	ga_ls7e_ard_3-1-0_094073_2020-01-04_final
2020-01-09 08:59:35	ga_ls7e_ard_3-1-0_090081_2020-01-08_final
2020-01-10 11:22:28	ga_ls7e_ard_3-1-0_113083_2020-01-10_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-01-26 11:18:53	ga_ls7e_ard_3-1-0_113076_2020-01-26_final
2020-02-04 11:12:15	ga_ls7e_ard_3-1-0_112076_2020-02-04_final
2020-02-05 10:13:24	ga_ls7e_ard_3-1-0_103068_2020-02-05_final
2020-02-15 09:17:28	ga_ls7e_ard_3-1-0_093084_2020-02-14_final
2020-02-25 09:52:01	ga_ls7e_ard_3-1-0_099079_2020-02-25_final
2020-02-26 08:57:57	ga_ls7e_ard_3-1-0_090083_2020-02-25_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-03-22 08:48:24	ga_ls7e_ard_3-1-0_089078_2020-03-21_final
2020-03-23 11:08:54	ga_ls7e_ard_3-1-0_112074_2020-03-23_final
2020-04-10 09:16:38	ga_ls7e_ard_3-1-0_094074_2020-04-09_final
2020-04-30 08:52:20	ga_ls7e_ard_3-1-0_090078_2020-04-29_final
2022-03-20 08:37:40	ga_ls7e_ard_3-2-1_097070_2022-03-19_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_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