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
1999-09-04 10:00:17	ga_ls7e_ard_3-0-0_098078_1999-09-04_final
2000-01-14 11:13:08	ga_ls7e_ard_3-0-0_110075_2000-01-14_final
2001-03-08 10:00:16	ga_ls7e_ard_3-0-0_099069_2001-03-08_final
2001-07-21 10:08:36	ga_ls7e_ard_3-0-0_100077_2001-07-21_final
2001-12-16 11:18:08	ga_ls7e_ard_3-0-0_112067_2001-12-16_final
2002-03-03 10:48:43	ga_ls7e_ard_3-0-0_107070_2002-03-03_final
2002-07-11 08:59:43	ga_ls7e_ard_3-0-0_089077_2002-07-10_final
2002-11-15 09:55:17	ga_ls7e_ard_3-0-0_098078_2002-11-15_final
2003-04-14 10:56:18	ga_ls7e_ard_3-0-0_108074_2003-04-14_final
2004-02-21 10:50:52	ga_ls7e_ard_3-0-0_107075_2004-02-21_final
2004-05-20 10:44:46	ga_ls7e_ard_3-1-0_106075_2004-05-20_final
2004-07-05 09:22:27	ga_ls7e_ard_3-0-0_092086_2004-07-04_final
2004-07-30 10:50:37	ga_ls7e_ard_3-0-0_107075_2004-07-30_final
2004-12-13 09:59:54	ga_ls7e_ard_3-0-0_099071_2004-12-13_final
2004-12-28 10:56:28	ga_ls7e_ard_3-0-0_108073_2004-12-28_final
2005-06-22 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-06-21_final
2005-12-26 10:39:06	ga_ls7e_ard_3-0-0_105075_2005-12-26_final
2005-12-26 10:39:30	ga_ls7e_ard_3-0-0_105076_2005-12-26_final
2006-01-09 10:51:35	ga_ls7e_ard_3-0-0_107075_2006-01-09_final
2006-05-03 10:39:27	ga_ls7e_ard_3-0-0_105075_2006-05-03_final
2007-01-11 10:07:07	ga_ls7e_ard_3-0-0_100071_2007-01-11_final
2007-01-12 10:51:59	ga_ls7e_ard_3-0-0_107075_2007-01-12_final
2007-01-31 09:48:30	ga_ls7e_ard_3-1-0_096086_2007-01-31_final
2007-05-01 10:20:31	ga_ls7e_ard_3-0-0_102073_2007-05-01_final
2007-06-21 10:54:49	ga_ls7e_ard_3-0-0_107082_2007-06-21_final
2008-04-28 10:03:12	ga_ls7e_ard_3-0-0_099077_2008-04-28_final
2008-07-17 10:03:17	ga_ls7e_ard_3-0-0_099079_2008-07-17_final
2008-11-06 09:59:45	ga_ls7e_ard_3-0-0_099071_2008-11-06_final
2009-01-25 10:03:40	ga_ls7e_ard_3-0-0_099079_2009-01-25_final
2009-03-30 10:04:10	ga_ls7e_ard_3-0-0_099079_2009-03-30_final
2009-07-04 10:01:06	ga_ls7e_ard_3-0-0_099071_2009-07-04_final
2009-07-20 10:04:13	ga_ls7e_ard_3-0-0_099079_2009-07-20_final
2010-06-13 09:21:00	ga_ls7e_ard_3-0-0_091090_2010-06-12_final
2012-06-21 11:23:56	ga_ls7e_ard_3-0-0_112067_2012-06-21_final
2013-07-28 11:13:35	ga_ls7e_ard_3-0-0_110070_2013-07-28_final
2014-03-16 11:26:57	ga_ls7e_ard_3-0-0_111084_2014-03-16_final
2014-08-07 09:42:04	ga_ls7e_ard_3-0-0_095067_2014-08-07_final
2014-10-22 10:11:35	ga_ls7e_ard_3-0-0_099078_2014-10-22_final
2017-01-11 10:36:26	ga_ls7e_ard_3-0-0_103068_2017-01-11_final
2017-09-03 10:24:42	ga_ls7e_ard_3-0-0_100084_2017-09-03_final
2018-02-14 11:31:00	ga_ls7e_ard_3-0-0_112067_2018-02-14_final
2018-08-30 10:11:23	ga_ls7e_ard_3-0-0_099077_2018-08-30_final
2019-03-26 10:02:07	ga_ls7e_ard_3-1-0_099068_2019-03-26_final
2019-08-21 09:33:22	ga_ls7e_ard_3-0-0_095072_2019-08-21_final
2020-01-25 10:34:05	ga_ls7e_ard_3-1-0_106072_2020-01-25_final
2020-02-01 09:02:38	ga_ls7e_ard_3-1-0_091076_2020-01-31_final
2020-04-29 09:47:37	ga_ls7e_ard_3-1-0_099077_2020-04-29_final
2020-07-16 09:57:42	ga_ls7e_ard_3-1-0_101083_2020-07-16_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-07-30 10:48:37	ga_ls7e_ard_3-2-0_114080_2021-07-30_final
2021-08-15 09:09:31	ga_ls7e_ard_3-2-0_098083_2021-08-14_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