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

51 results

Time (local)	Label
2000-04-22 11:43:30	ga_ls7e_ard_3-0-0_115075_2000-04-22_final
2001-04-25 09:59:59	ga_ls7e_ard_3-0-0_099069_2001-04-25_final
2001-07-06 09:16:38	ga_ls7e_ard_3-1-0_091086_2001-07-05_final
2001-07-13 10:54:54	ga_ls7e_ard_3-0-0_108069_2001-07-13_final
2001-08-13 10:11:58	ga_ls7e_ard_3-0-0_101071_2001-08-13_final
2001-09-27 09:40:37	ga_ls7e_ard_3-0-0_096071_2001-09-27_final
2001-12-23 11:27:08	ga_ls7e_ard_3-0-0_113074_2001-12-23_final
2002-01-17 11:18:16	ga_ls7e_ard_3-0-0_112067_2002-01-17_final
2003-01-02 09:52:29	ga_ls7e_ard_3-0-0_098070_2003-01-02_final
2003-03-29 10:56:13	ga_ls7e_ard_3-0-0_108074_2003-03-29_final
2003-05-27 09:02:24	ga_ls7e_ard_3-0-0_089083_2003-05-26_final
2003-06-01 09:18:33	ga_ls7e_ard_3-0-0_092077_2003-05-31_final
2003-11-04 11:17:52	ga_ls7e_ard_3-0-0_112067_2003-11-04_final
2004-01-04 10:50:41	ga_ls7e_ard_3-0-0_107075_2004-01-04_final
2004-02-05 09:12:47	ga_ls7e_ard_3-0-0_091077_2004-02-04_final
2004-08-23 10:00:18	ga_ls7e_ard_3-0-0_099073_2004-08-23_final
2005-01-24 10:41:35	ga_ls7e_ard_3-0-0_105082_2005-01-24_final
2005-02-05 09:29:08	ga_ls7e_ard_3-0-0_093086_2005-02-04_final
2005-08-05 11:18:51	ga_ls7e_ard_3-0-0_112067_2005-08-05_final
2006-07-09 11:09:45	ga_ls7e_ard_3-0-0_110074_2006-07-09_final
2007-01-31 09:40:55	ga_ls7e_ard_3-0-0_096067_2007-01-31_final
2007-08-31 10:55:28	ga_ls7e_ard_3-0-0_108069_2007-08-31_final
2008-01-08 10:43:09	ga_ls7e_ard_3-0-0_106068_2008-01-08_final
2008-01-24 09:07:50	ga_ls7e_ard_3-0-0_090077_2008-01-23_final
2009-06-03 09:08:44	ga_ls7e_ard_3-0-0_090079_2009-06-02_final
2009-09-06 10:04:29	ga_ls7e_ard_3-0-0_099080_2009-09-06_final
2009-09-12 09:22:13	ga_ls7e_ard_3-0-0_093067_2009-09-11_final
2009-10-28 09:37:09	ga_ls7e_ard_3-1-0_095073_2009-10-28_final
2009-12-19 09:15:56	ga_ls7e_ard_3-0-0_091080_2009-12-18_final
2009-12-24 09:35:46	ga_ls7e_ard_3-1-0_094083_2009-12-24_final
2010-03-24 10:11:28	ga_ls7e_ard_3-0-0_100077_2010-03-24_final
2010-10-01 09:30:38	ga_ls7e_ard_3-0-0_093083_2010-10-01_final
2012-02-14 11:23:36	ga_ls7e_ard_3-0-0_112067_2012-02-14_final
2012-07-06 09:07:58	ga_ls7e_ard_3-0-0_089082_2012-07-05_final
2013-01-05 09:14:04	ga_ls7e_ard_3-0-0_090078_2013-01-04_final
2013-03-15 11:12:15	ga_ls7e_ard_3-0-0_109080_2013-03-15_final
2013-04-30 09:40:19	ga_ls7e_ard_3-0-0_095067_2013-04-30_final
2013-11-06 09:53:42	ga_ls7e_ard_3-0-0_097069_2013-11-06_final
2014-03-09 11:20:42	ga_ls7e_ard_3-0-0_110084_2014-03-09_final
2014-10-19 11:20:20	ga_ls7e_ard_3-0-0_110080_2014-10-19_final
2016-07-04 11:25:40	ga_ls7e_ard_3-0-0_110082_2016-07-04_final
2017-01-06 10:20:21	ga_ls7e_ard_3-0-0_100074_2017-01-06_final
2018-02-19 10:15:00	ga_ls7e_ard_3-0-0_099078_2018-02-19_final
2018-08-09 09:49:17	ga_ls7e_ard_3-0-0_096067_2018-08-09_final
2019-03-16 09:28:58	ga_ls7e_ard_3-1-0_093077_2019-03-15_final
2019-11-15 10:29:51	ga_ls7e_ard_3-1-0_105068_2019-11-15_final
2020-02-28 10:18:46	ga_ls7e_ard_3-1-0_104069_2020-02-28_final
2020-06-14 09:56:25	ga_ls7e_ard_3-1-0_101075_2020-06-14_final
2021-02-06 10:50:34	ga_ls7e_ard_3-2-0_112080_2021-02-06_final
2021-02-27 09:27:26	ga_ls7e_ard_3-2-0_099077_2021-02-26_final
2022-02-23 08:49:30	ga_ls7e_ard_3-2-1_098078_2022-02-22_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