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
2000-12-15 11:09:31	ga_ls7e_ard_3-1-0_110072_2000-12-15_final
2001-07-31 10:44:44	ga_ls7e_ard_3-1-0_106075_2001-07-31_final
2002-03-09 10:13:37	ga_ls7e_ard_3-1-0_101075_2002-03-09_final
2002-07-30 11:07:21	ga_ls7e_ard_3-1-0_110072_2002-07-30_final
2002-12-21 09:28:55	ga_ls7e_ard_3-1-0_094073_2002-12-20_final
2003-04-09 09:01:40	ga_ls7e_ard_3-1-0_089081_2003-04-08_final
2003-08-22 09:09:05	ga_ls7e_ard_3-1-0_090085_2003-08-21_final
2003-10-21 11:07:24	ga_ls7e_ard_3-1-0_110072_2003-10-21_final
2003-11-11 09:48:52	ga_ls7e_ard_3-1-0_097076_2003-11-11_final
2003-11-22 11:07:46	ga_ls7e_ard_3-1-0_110072_2003-11-22_final
2004-11-24 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-11-24_final
2005-01-23 09:57:32	ga_ls7e_ard_3-1-0_098080_2005-01-23_final
2005-03-16 11:10:00	ga_ls7e_ard_3-1-0_110075_2005-03-16_final
2005-04-17 11:08:39	ga_ls7e_ard_3-1-0_110072_2005-04-17_final
2005-10-10 11:08:09	ga_ls7e_ard_3-1-0_110072_2005-10-10_final
2005-12-06 11:06:07	ga_ls7e_ard_3-1-0_109081_2005-12-06_final
2006-02-24 11:06:36	ga_ls7e_ard_3-1-0_109081_2006-02-24_final
2006-09-27 11:08:33	ga_ls7e_ard_3-1-0_110072_2006-09-27_final
2007-03-19 09:03:27	ga_ls7e_ard_3-1-0_089081_2007-03-18_final
2007-03-25 10:01:40	ga_ls7e_ard_3-1-0_099072_2007-03-25_final
2007-08-17 10:45:36	ga_ls7e_ard_3-1-0_106075_2007-08-17_final
2007-09-07 09:29:54	ga_ls7e_ard_3-1-0_093087_2007-09-06_final
2007-10-20 10:45:26	ga_ls7e_ard_3-1-0_106075_2007-10-20_final
2008-05-31 10:45:28	ga_ls7e_ard_3-1-0_106075_2008-05-31_final
2008-06-28 11:08:43	ga_ls7e_ard_3-1-0_110072_2008-06-28_final
2008-07-02 10:45:08	ga_ls7e_ard_3-1-0_106075_2008-07-02_final
2008-11-03 11:08:05	ga_ls7e_ard_3-1-0_110072_2008-11-03_final
2008-12-09 09:10:07	ga_ls7e_ard_3-1-0_090085_2008-12-08_final
2009-03-07 09:59:01	ga_ls7e_ard_3-1-0_098082_2009-03-07_final
2009-06-19 09:11:06	ga_ls7e_ard_3-1-0_090085_2009-06-18_final
2010-01-02 09:31:20	ga_ls7e_ard_3-1-0_093087_2010-01-02_final
2010-07-24 10:47:48	ga_ls7e_ard_3-1-0_106075_2010-07-24_final
2010-10-01 09:32:14	ga_ls7e_ard_3-1-0_093087_2010-10-01_final
2011-05-24 10:49:10	ga_ls7e_ard_3-1-0_106075_2011-05-24_final
2011-09-13 10:48:52	ga_ls7e_ard_3-1-0_106075_2011-09-13_final
2013-03-20 11:32:21	ga_ls7e_ard_3-1-0_112084_2013-03-20_final
2013-06-14 10:51:15	ga_ls7e_ard_3-1-0_106075_2013-06-14_final
2013-06-26 09:33:49	ga_ls7e_ard_3-1-0_094067_2013-06-26_final
2014-02-09 10:52:27	ga_ls7e_ard_3-1-0_106075_2014-02-09_final
2014-11-13 09:38:17	ga_ls7e_ard_3-1-0_093087_2014-11-13_final
2015-04-29 11:18:24	ga_ls7e_ard_3-1-0_110072_2015-04-29_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2015-08-19 11:18:57	ga_ls7e_ard_3-1-0_110072_2015-08-19_final
2015-12-13 09:21:50	ga_ls7e_ard_3-1-0_090085_2015-12-12_final
2016-02-15 09:22:34	ga_ls7e_ard_3-1-0_090085_2016-02-14_final
2016-10-08 11:21:52	ga_ls7e_ard_3-1-0_110072_2016-10-08_final
2016-10-25 10:27:23	ga_ls7e_ard_3-1-0_101075_2016-10-25_final
2016-11-09 11:21:42	ga_ls7e_ard_3-1-0_110072_2016-11-09_final
2016-12-04 09:42:32	ga_ls7e_ard_3-1-0_093087_2016-12-04_final
2017-10-04 09:42:38	ga_ls7e_ard_3-1-0_093087_2017-10-04_final
2017-11-12 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-11-12_final
2019-02-18 10:28:00	ga_ls7e_ard_3-1-0_103068_2019-02-18_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-02-22 10:07:56	ga_ls7e_ard_3-1-0_099080_2019-02-22_final
2019-03-08 10:16:16	ga_ls7e_ard_3-1-0_101071_2019-03-08_final
2019-05-10 09:29:10	ga_ls7e_ard_3-1-0_094067_2019-05-09_final
2019-08-24 10:08:32	ga_ls7e_ard_3-1-0_100083_2019-08-24_final
2019-09-03 09:08:18	ga_ls7e_ard_3-1-0_090088_2019-09-02_final
2019-09-12 09:00:32	ga_ls7e_ard_3-1-0_089085_2019-09-11_final
2019-09-18 10:00:04	ga_ls7e_ard_3-1-0_099080_2019-09-18_final
2019-09-25 10:02:20	ga_ls7e_ard_3-1-0_100071_2019-09-25_final
2019-09-27 09:53:29	ga_ls7e_ard_3-1-0_098080_2019-09-27_final
2019-10-01 11:02:18	ga_ls7e_ard_3-1-0_110067_2019-10-01_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-10-22 09:46:16	ga_ls7e_ard_3-1-0_097080_2019-10-22_final
2019-10-30 08:57:41	ga_ls7e_ard_3-1-0_089083_2019-10-29_final
2019-11-02 11:07:43	ga_ls7e_ard_3-1-0_110084_2019-11-02_final
2019-11-14 09:51:25	ga_ls7e_ard_3-1-0_098080_2019-11-14_final
2019-11-23 09:46:25	ga_ls7e_ard_3-1-0_097084_2019-11-23_final
2019-11-27 11:00:23	ga_ls7e_ard_3-1-0_109084_2019-11-27_final
2019-11-30 09:47:28	ga_ls7e_ard_3-1-0_098072_2019-11-30_final
2019-11-30 11:27:57	ga_ls7e_ard_3-1-0_114076_2019-11-30_final
2019-12-07 09:53:18	ga_ls7e_ard_3-1-0_099072_2019-12-07_final
2019-12-08 09:02:49	ga_ls7e_ard_3-1-0_090085_2019-12-07_final
2019-12-18 11:17:53	ga_ls7e_ard_3-1-0_112084_2019-12-18_final
2019-12-24 10:34:54	ga_ls7e_ard_3-1-0_106070_2019-12-24_final
2020-01-06 10:04:07	ga_ls7e_ard_3-1-0_101072_2020-01-06_final
2020-01-26 09:37:13	ga_ls7e_ard_3-1-0_097069_2020-01-26_final
2020-02-10 08:56:47	ga_ls7e_ard_3-1-0_090078_2020-02-09_final
2020-02-17 10:38:41	ga_ls7e_ard_3-1-0_107071_2020-02-17_final
2020-02-19 08:51:20	ga_ls7e_ard_3-1-0_089081_2020-02-18_final
2020-02-20 11:10:38	ga_ls7e_ard_3-1-0_112074_2020-02-20_final
2020-02-22 10:56:34	ga_ls7e_ard_3-1-0_110070_2020-02-22_final
2020-02-25 09:52:25	ga_ls7e_ard_3-1-0_099080_2020-02-25_final
2020-03-02 09:17:01	ga_ls7e_ard_3-1-0_093085_2020-03-01_final
2020-03-07 11:09:46	ga_ls7e_ard_3-1-0_112074_2020-03-07_final
2020-03-13 10:30:46	ga_ls7e_ard_3-1-0_106070_2020-03-13_final
2020-03-22 08:50:48	ga_ls7e_ard_3-1-0_089084_2020-03-21_final
2020-03-24 10:15:37	ga_ls7e_ard_3-1-0_103080_2020-03-24_final
2020-03-26 10:03:56	ga_ls7e_ard_3-1-0_101082_2020-03-26_final
2020-03-29 08:56:35	ga_ls7e_ard_3-1-0_090084_2020-03-28_final
2020-03-30 09:37:48	ga_ls7e_ard_3-1-0_097079_2020-03-30_final
2020-04-05 10:40:51	ga_ls7e_ard_3-1-0_107083_2020-04-05_final
2020-04-10 10:52:43	ga_ls7e_ard_3-1-0_110067_2020-04-10_final
2020-04-11 10:01:26	ga_ls7e_ard_3-1-0_101078_2020-04-11_final
2020-04-13 09:44:34	ga_ls7e_ard_3-1-0_099067_2020-04-13_final
2020-04-22 09:43:03	ga_ls7e_ard_3-1-0_098080_2020-04-22_final
2020-04-29 09:50:00	ga_ls7e_ard_3-1-0_099083_2020-04-29_final
2022-03-25 08:57:20	ga_ls7e_ard_3-2-1_100074_2022-03-24_final
2022-03-25 09:01:20	ga_ls7e_ard_3-2-1_100084_2022-03-24_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