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
1999-12-26 09:05:45	ga_ls7e_ard_3-1-0_089081_1999-12-25_final
2001-02-17 09:28:39	ga_ls7e_ard_3-1-0_094067_2001-02-16_final
2004-02-19 11:05:37	ga_ls7e_ard_3-1-0_109081_2004-02-19_final
2004-11-12 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-11-11_final
2005-01-09 11:25:39	ga_ls7e_ard_3-1-0_112084_2005-01-09_final
2005-01-11 09:30:01	ga_ls7e_ard_3-1-0_094073_2005-01-11_final
2005-10-07 09:01:54	ga_ls7e_ard_3-1-0_089081_2005-10-06_final
2005-11-04 09:29:48	ga_ls7e_ard_3-1-0_093088_2005-11-03_final
2005-12-11 11:25:52	ga_ls7e_ard_3-1-0_112084_2005-12-11_final
2006-04-20 09:28:13	ga_ls7e_ard_3-1-0_094067_2006-04-19_final
2006-12-14 11:26:25	ga_ls7e_ard_3-1-0_112084_2006-12-14_final
2007-06-14 10:45:51	ga_ls7e_ard_3-1-0_106075_2007-06-14_final
2007-06-19 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-18_final
2007-08-29 09:28:10	ga_ls7e_ard_3-1-0_094067_2007-08-28_final
2007-09-14 09:28:03	ga_ls7e_ard_3-1-0_094067_2007-09-13_final
2007-10-30 11:26:13	ga_ls7e_ard_3-1-0_112084_2007-10-30_final
2008-01-08 10:45:56	ga_ls7e_ard_3-1-0_106075_2008-01-08_final
2008-12-24 10:05:29	ga_ls7e_ard_3-1-0_099084_2008-12-24_final
2009-03-21 10:12:17	ga_ls7e_ard_3-1-0_100084_2009-03-21_final
2009-08-18 09:28:24	ga_ls7e_ard_3-1-0_094067_2009-08-17_final
2009-11-19 09:06:46	ga_ls7e_ard_3-1-0_089089_2009-11-18_final
2010-01-09 11:10:32	ga_ls7e_ard_3-1-0_110072_2010-01-09_final
2010-04-12 09:05:08	ga_ls7e_ard_3-1-0_089081_2010-04-11_final
2010-08-03 11:24:29	ga_ls7e_ard_3-1-0_112074_2010-08-03_final
2011-01-12 11:12:23	ga_ls7e_ard_3-1-0_110072_2011-01-12_final
2011-03-17 11:12:40	ga_ls7e_ard_3-1-0_110072_2011-03-17_final
2011-06-14 09:33:37	ga_ls7e_ard_3-1-0_093087_2011-06-14_final
2011-07-07 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-07-07_final
2011-10-27 11:12:28	ga_ls7e_ard_3-1-0_110072_2011-10-27_final
2012-07-09 09:32:56	ga_ls7e_ard_3-1-0_094067_2012-07-09_final
2012-08-03 09:35:00	ga_ls7e_ard_3-1-0_093087_2012-08-03_final
2013-04-07 09:34:16	ga_ls7e_ard_3-1-0_094067_2013-04-07_final
2013-06-26 11:14:41	ga_ls7e_ard_3-1-0_110072_2013-06-26_final
2013-10-16 09:34:14	ga_ls7e_ard_3-1-0_094067_2013-10-16_final
2014-12-22 11:17:39	ga_ls7e_ard_3-1-0_110072_2014-12-22_final
2015-12-09 09:39:18	ga_ls7e_ard_3-1-0_094067_2015-12-09_final
2016-06-02 11:21:37	ga_ls7e_ard_3-1-0_110072_2016-06-02_final
2016-06-18 09:40:47	ga_ls7e_ard_3-1-0_094067_2016-06-18_final
2017-01-10 11:38:27	ga_ls7e_ard_3-1-0_112084_2017-01-10_final
2017-07-07 09:40:53	ga_ls7e_ard_3-1-0_094067_2017-07-07_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2018-10-14 11:17:32	ga_ls7e_ard_3-1-0_110075_2018-10-14_final
2018-12-01 11:15:13	ga_ls7e_ard_3-1-0_110072_2018-12-01_final
2019-01-18 11:13:48	ga_ls7e_ard_3-1-0_110072_2019-01-18_final
2019-02-03 09:32:25	ga_ls7e_ard_3-1-0_094067_2019-02-03_final
2019-03-06 10:27:30	ga_ls7e_ard_3-1-0_103068_2019-03-06_final
2019-03-06 10:29:05	ga_ls7e_ard_3-1-0_103072_2019-03-06_final
2019-03-13 10:33:27	ga_ls7e_ard_3-1-0_104068_2019-03-13_final
2019-03-19 09:57:22	ga_ls7e_ard_3-1-0_098071_2019-03-19_final
2019-03-23 11:12:59	ga_ls7e_ard_3-1-0_110075_2019-03-23_final
2019-04-30 10:32:33	ga_ls7e_ard_3-1-0_104070_2019-04-30_final
2019-08-29 10:22:28	ga_ls7e_ard_3-1-0_103072_2019-08-29_final
2019-09-12 08:57:20	ga_ls7e_ard_3-1-0_089077_2019-09-11_final
2019-09-18 09:59:16	ga_ls7e_ard_3-1-0_099078_2019-09-18_final
2019-09-24 10:59:12	ga_ls7e_ard_3-1-0_109074_2019-09-24_final
2019-10-04 09:58:59	ga_ls7e_ard_3-1-0_099079_2019-10-04_final
2019-10-06 11:23:26	ga_ls7e_ard_3-1-0_113074_2019-10-06_final
2019-10-17 11:04:50	ga_ls7e_ard_3-1-0_110075_2019-10-17_final
2019-10-21 09:01:51	ga_ls7e_ard_3-1-0_090077_2019-10-20_final
2019-10-28 10:43:49	ga_ls7e_ard_3-1-0_107070_2019-10-28_final
2019-11-01 10:18:07	ga_ls7e_ard_3-1-0_103068_2019-11-01_final
2019-11-02 11:03:20	ga_ls7e_ard_3-1-0_110073_2019-11-02_final
2019-11-02 11:06:56	ga_ls7e_ard_3-1-0_110082_2019-11-02_final
2019-11-14 09:46:14	ga_ls7e_ard_3-1-0_098067_2019-11-14_final
2019-11-14 09:50:37	ga_ls7e_ard_3-1-0_098078_2019-11-14_final
2019-11-15 08:57:45	ga_ls7e_ard_3-1-0_089085_2019-11-14_final
2019-11-22 09:00:48	ga_ls7e_ard_3-1-0_090078_2019-11-21_final
2019-11-30 11:24:21	ga_ls7e_ard_3-1-0_114067_2019-11-30_final
2019-12-10 10:22:27	ga_ls7e_ard_3-1-0_104068_2019-12-10_final
2019-12-15 10:41:33	ga_ls7e_ard_3-1-0_107070_2019-12-15_final
2019-12-18 11:17:29	ga_ls7e_ard_3-1-0_112083_2019-12-18_final
2020-01-05 09:21:19	ga_ls7e_ard_3-1-0_094073_2020-01-04_final
2020-01-15 09:59:29	ga_ls7e_ard_3-1-0_100077_2020-01-15_final
2020-01-16 10:40:18	ga_ls7e_ard_3-1-0_107071_2020-01-16_final
2020-01-20 10:15:23	ga_ls7e_ard_3-1-0_103071_2020-01-20_final
2020-01-21 09:18:08	ga_ls7e_ard_3-1-0_094067_2020-01-20_final
2020-01-26 11:21:41	ga_ls7e_ard_3-1-0_113083_2020-01-26_final
2020-02-02 09:46:14	ga_ls7e_ard_3-1-0_098077_2020-02-02_final
2020-02-11 11:17:17	ga_ls7e_ard_3-1-0_113074_2020-02-11_final
2020-02-15 10:53:09	ga_ls7e_ard_3-1-0_109076_2020-02-15_final
2020-02-25 09:48:26	ga_ls7e_ard_3-1-0_099070_2020-02-25_final
2020-02-27 09:39:57	ga_ls7e_ard_3-1-0_097080_2020-02-27_final
2020-03-05 09:45:21	ga_ls7e_ard_3-1-0_098079_2020-03-05_final
2020-03-05 11:22:38	ga_ls7e_ard_3-1-0_114075_2020-03-05_final
2020-03-12 09:53:09	ga_ls7e_ard_3-1-0_099084_2020-03-12_final
2020-03-15 10:17:30	ga_ls7e_ard_3-1-0_104068_2020-03-15_final
2020-03-21 09:46:52	ga_ls7e_ard_3-1-0_098085_2020-03-21_final
2020-04-04 09:52:52	ga_ls7e_ard_3-1-0_100071_2020-04-04_final
2020-04-07 08:47:30	ga_ls7e_ard_3-1-0_089078_2020-04-06_final
2020-04-10 10:52:43	ga_ls7e_ard_3-1-0_110067_2020-04-10_final
2020-04-10 10:55:31	ga_ls7e_ard_3-1-0_110074_2020-04-10_final
2020-04-13 09:44:58	ga_ls7e_ard_3-1-0_099068_2020-04-13_final
2020-04-26 10:53:47	ga_ls7e_ard_3-1-0_110072_2020-04-26_final
2020-04-26 10:54:11	ga_ls7e_ard_3-1-0_110073_2020-04-26_final
2022-03-22 08:31:07	ga_ls7e_ard_3-2-1_095085_2022-03-21_final
2022-03-22 10:04:48	ga_ls7e_ard_3-2-1_111072_2022-03-22_final
2022-03-24 09:57:03	ga_ls7e_ard_3-2-1_109084_2022-03-24_final
2022-03-27 10:24:04	ga_ls7e_ard_3-2-1_114075_2022-03-27_final
2022-04-04 08:00:34	ga_ls7e_ard_3-2-1_090089_2022-04-03_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