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

52 results

Time (local)	Label
2001-07-07 09:56:42	ga_ls7e_ard_3-0-0_098078_2001-07-07_final
2002-05-30 10:01:44	ga_ls7e_ard_3-0-0_099077_2002-05-30_final
2003-07-21 10:44:31	ga_ls7e_ard_3-0-0_106076_2003-07-21_final
2003-11-17 10:50:22	ga_ls7e_ard_3-0-0_107075_2003-11-17_final
2004-01-12 10:01:38	ga_ls7e_ard_3-0-0_099076_2004-01-12_final
2004-07-29 10:08:34	ga_ls7e_ard_3-0-0_100078_2004-07-29_final
2005-01-02 09:36:09	ga_ls7e_ard_3-1-0_095073_2005-01-02_final
2005-01-08 09:02:42	ga_ls7e_ard_3-0-0_089082_2005-01-07_final
2005-01-18 11:14:41	ga_ls7e_ard_3-0-0_111072_2005-01-18_final
2005-02-16 10:45:35	ga_ls7e_ard_3-0-0_106076_2005-02-16_final
2005-05-10 11:15:18	ga_ls7e_ard_3-0-0_111073_2005-05-10_final
2005-05-23 10:45:11	ga_ls7e_ard_3-1-0_106075_2005-05-23_final
2005-06-23 10:02:32	ga_ls7e_ard_3-0-0_099077_2005-06-23_final
2005-08-11 10:45:20	ga_ls7e_ard_3-0-0_106076_2005-08-11_final
2005-11-14 10:03:24	ga_ls7e_ard_3-0-0_099079_2005-11-14_final
2006-01-26 11:34:59	ga_ls7e_ard_3-0-0_114075_2006-01-26_final
2006-03-15 11:35:07	ga_ls7e_ard_3-0-0_114075_2006-03-15_final
2006-05-24 09:23:55	ga_ls7e_ard_3-1-0_092087_2006-05-23_final
2006-06-15 10:18:28	ga_ls7e_ard_3-0-0_102069_2006-06-15_final
2007-03-26 10:46:07	ga_ls7e_ard_3-1-0_106075_2007-03-26_final
2007-06-07 10:40:04	ga_ls7e_ard_3-0-0_105076_2007-06-07_final
2007-08-16 10:00:45	ga_ls7e_ard_3-0-0_099071_2007-08-16_final
2007-08-26 10:39:46	ga_ls7e_ard_3-0-0_105076_2007-08-26_final
2007-10-19 10:00:33	ga_ls7e_ard_3-0-0_099071_2007-10-19_final
2008-04-28 10:04:00	ga_ls7e_ard_3-0-0_099079_2008-04-28_final
2009-07-20 10:04:13	ga_ls7e_ard_3-0-0_099079_2009-07-20_final
2009-11-26 09:08:38	ga_ls7e_ard_3-0-0_090078_2009-11-25_final
2009-12-24 11:09:28	ga_ls7e_ard_3-0-0_110070_2009-12-24_final
2010-03-26 09:59:31	ga_ls7e_ard_3-0-0_098078_2010-03-26_final
2011-02-09 09:57:34	ga_ls7e_ard_3-0-0_098070_2011-02-09_final
2011-02-13 11:14:56	ga_ls7e_ard_3-0-0_110078_2011-02-13_final
2011-05-22 09:27:01	ga_ls7e_ard_3-0-0_092086_2011-05-21_final
2012-04-10 09:01:11	ga_ls7e_ard_3-0-0_088082_2012-04-09_final
2012-06-10 10:07:53	ga_ls7e_ard_3-0-0_099078_2012-06-10_final
2012-06-13 09:01:08	ga_ls7e_ard_3-0-0_088081_2012-06-12_final
2014-07-26 09:22:04	ga_ls7e_ard_3-0-0_091079_2014-07-25_final
2014-08-19 10:11:33	ga_ls7e_ard_3-0-0_099079_2014-08-19_final
2015-02-12 09:16:09	ga_ls7e_ard_3-0-0_090077_2015-02-11_final
2016-10-22 10:00:06	ga_ls7e_ard_3-0-0_096084_2016-10-22_final
2017-07-25 09:36:06	ga_ls7e_ard_3-0-0_092086_2017-07-25_final
2018-03-04 09:44:45	ga_ls7e_ard_3-0-0_094080_2018-03-04_final
2019-01-15 09:06:31	ga_ls7e_ard_3-0-0_089078_2019-01-14_final
2019-01-28 10:13:40	ga_ls7e_ard_3-0-0_100077_2019-01-28_final
2019-09-30 10:21:05	ga_ls7e_ard_3-1-0_103072_2019-09-30_final
2019-12-20 11:05:25	ga_ls7e_ard_3-1-0_110084_2019-12-20_final
2020-02-02 09:48:38	ga_ls7e_ard_3-1-0_098083_2020-02-02_final
2020-07-06 09:14:50	ga_ls7e_ard_3-1-0_095067_2020-07-05_final
2021-03-03 10:39:18	ga_ls7e_ard_3-2-0_111072_2021-03-03_final
2021-04-07 09:30:54	ga_ls7e_ard_3-2-0_100078_2021-04-07_final
2021-08-13 09:17:16	ga_ls7e_ard_3-2-0_100071_2021-08-12_final
2021-08-22 09:13:29	ga_ls7e_ard_3-2-0_099079_2021-08-21_final
2021-10-03 08:07:11	ga_ls7e_ard_3-2-0_089077_2021-10-02_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years