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

63 results

Time (local)	Label
2000-01-14 11:16:43	ga_ls7e_ard_3-0-0_110084_2000-01-14_final
2000-04-03 09:34:18	ga_ls7e_ard_3-0-0_094076_2000-04-03_final
2000-11-17 10:46:19	ga_ls7e_ard_3-0-0_106076_2000-11-17_final
2000-12-18 10:03:56	ga_ls7e_ard_3-0-0_099078_2000-12-18_final
2000-12-19 10:46:24	ga_ls7e_ard_3-0-0_106076_2000-12-19_final
2001-04-16 10:07:02	ga_ls7e_ard_3-0-0_100071_2001-04-16_final
2001-06-25 09:27:36	ga_ls7e_ard_3-1-0_094067_2001-06-24_final
2002-09-02 09:22:14	ga_ls7e_ard_3-0-0_092088_2002-09-01_final
2003-09-22 11:39:24	ga_ls7e_ard_3-0-0_115075_2003-09-22_final
2003-11-26 09:10:58	ga_ls7e_ard_3-0-0_090089_2003-11-25_final
2003-12-28 10:42:05	ga_ls7e_ard_3-0-0_106069_2003-12-28_final
2004-02-25 10:24:08	ga_ls7e_ard_3-0-0_103070_2004-02-25_final
2004-07-30 10:50:37	ga_ls7e_ard_3-0-0_107075_2004-07-30_final
2004-09-26 11:27:03	ga_ls7e_ard_3-0-0_113074_2004-09-26_final
2004-10-01 10:07:52	ga_ls7e_ard_3-0-0_100077_2004-10-01_final
2004-11-03 10:50:38	ga_ls7e_ard_3-0-0_107075_2004-11-03_final
2004-11-28 10:45:04	ga_ls7e_ard_3-0-0_106076_2004-11-28_final
2005-05-07 10:45:35	ga_ls7e_ard_3-0-0_106076_2005-05-07_final
2005-06-06 10:55:04	ga_ls7e_ard_3-0-0_108069_2005-06-06_final
2005-12-26 09:01:48	ga_ls7e_ard_3-0-0_089079_2005-12-25_final
2006-02-02 10:00:44	ga_ls7e_ard_3-0-0_099071_2006-02-02_final
2006-05-24 09:23:31	ga_ls7e_ard_3-0-0_092086_2006-05-23_final
2007-01-10 11:02:21	ga_ls7e_ard_3-0-0_109070_2007-01-10_final
2007-02-14 09:54:58	ga_ls7e_ard_3-0-0_098071_2007-02-14_final
2007-03-25 10:00:52	ga_ls7e_ard_3-0-0_099070_2007-03-25_final
2007-04-13 08:57:15	ga_ls7e_ard_3-0-0_088081_2007-04-12_final
2007-05-27 10:55:49	ga_ls7e_ard_3-0-0_108069_2007-05-27_final
2007-10-12 09:57:05	ga_ls7e_ard_3-0-0_098078_2007-10-12_final
2008-01-14 10:09:39	ga_ls7e_ard_3-0-0_100077_2008-01-14_final
2008-03-25 10:18:01	ga_ls7e_ard_3-0-0_101083_2008-03-25_final
2008-03-31 11:17:26	ga_ls7e_ard_3-0-0_111077_2008-03-31_final
2008-05-30 10:03:24	ga_ls7e_ard_3-0-0_099078_2008-05-30_final
2009-08-27 09:22:13	ga_ls7e_ard_3-0-0_093067_2009-08-26_final
2009-09-21 11:00:53	ga_ls7e_ard_3-1-0_108082_2009-09-21_final
2009-12-11 10:00:50	ga_ls7e_ard_3-0-0_099069_2009-12-11_final
2010-06-28 10:11:29	ga_ls7e_ard_3-0-0_100077_2010-06-28_final
2010-12-16 09:50:59	ga_ls7e_ard_3-0-0_097070_2010-12-16_final
2010-12-24 10:40:06	ga_ls7e_ard_3-0-0_105069_2010-12-24_final
2011-03-04 10:04:40	ga_ls7e_ard_3-0-0_099072_2011-03-04_final
2011-07-18 09:18:23	ga_ls7e_ard_3-0-0_091080_2011-07-17_final
2011-12-09 09:19:27	ga_ls7e_ard_3-0-0_091082_2011-12-08_final
2011-12-17 10:02:57	ga_ls7e_ard_3-0-0_099067_2011-12-17_final
2012-02-29 09:10:14	ga_ls7e_ard_3-1-0_089089_2012-02-28_final
2014-02-24 10:06:38	ga_ls7e_ard_3-0-0_099069_2014-02-24_final
2014-06-23 10:17:08	ga_ls7e_ard_3-0-0_100078_2014-06-23_final
2015-05-19 09:22:08	ga_ls7e_ard_3-0-0_090090_2015-05-18_final
2016-06-09 09:54:07	ga_ls7e_ard_3-0-0_095085_2016-06-09_final
2016-08-05 09:48:26	ga_ls7e_ard_3-0-0_094086_2016-08-05_final
2016-08-05 11:25:43	ga_ls7e_ard_3-0-0_110082_2016-08-05_final
2016-12-27 11:21:51	ga_ls7e_ard_3-0-0_110073_2016-12-27_final
2018-04-01 10:08:18	ga_ls7e_ard_3-0-0_098078_2018-04-01_final
2018-05-11 10:58:15	ga_ls7e_ard_3-0-0_106081_2018-05-11_final
2019-08-18 10:45:52	ga_ls7e_ard_3-0-0_106083_2019-08-18_final
2020-01-11 10:21:37	ga_ls7e_ard_3-1-0_104070_2020-01-11_final
2020-02-11 09:37:36	ga_ls7e_ard_3-1-0_097072_2020-02-11_final
2020-03-03 09:59:49	ga_ls7e_ard_3-1-0_100084_2020-03-03_final
2020-03-05 09:41:46	ga_ls7e_ard_3-1-0_098070_2020-03-05_final
2020-04-15 09:33:17	ga_ls7e_ard_3-1-0_097070_2020-04-15_final
2020-06-20 09:15:48	ga_ls7e_ard_3-1-0_095067_2020-06-19_final
2020-10-23 08:40:58	ga_ls7e_ard_3-1-0_090077_2020-10-22_final
2021-03-15 09:26:35	ga_ls7e_ard_3-2-0_099078_2021-03-14_final
2022-01-15 08:43:36	ga_ls7e_ard_3-2-1_097069_2022-01-14_final
2022-03-03 08:01:42	ga_ls7e_ard_3-2-1_090084_2022-03-02_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