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

54 results

Time (local)	Label
1999-10-17 09:37:21	ga_ls7e_ard_3-0-0_095067_1999-10-17_final
2000-01-08 10:13:20	ga_ls7e_ard_3-0-0_100080_2000-01-08_final
2000-04-05 10:57:59	ga_ls7e_ard_3-0-0_108069_2000-04-05_final
2000-08-05 10:01:15	ga_ls7e_ard_3-0-0_098085_2000-08-05_final
2000-09-04 10:10:30	ga_ls7e_ard_3-0-0_100078_2000-09-04_final
2000-09-14 10:43:24	ga_ls7e_ard_3-0-0_106068_2000-09-14_final
2000-10-09 09:04:05	ga_ls7e_ard_3-0-0_089083_2000-10-08_final
2001-01-19 10:03:37	ga_ls7e_ard_3-0-0_099077_2001-01-19_final
2001-09-06 11:02:19	ga_ls7e_ard_3-0-0_109074_2001-09-06_final
2002-04-11 09:23:04	ga_ls7e_ard_3-0-0_092088_2002-04-10_final
2002-06-30 10:56:23	ga_ls7e_ard_3-0-0_108075_2002-06-30_final
2003-01-27 09:48:03	ga_ls7e_ard_3-0-0_097074_2003-01-27_final
2003-11-12 08:55:16	ga_ls7e_ard_3-0-0_088081_2003-11-11_final
2004-04-12 11:23:51	ga_ls7e_ard_3-0-0_112080_2004-04-12_final
2004-06-14 10:38:26	ga_ls7e_ard_3-0-0_105075_2004-06-14_final
2005-02-07 10:51:18	ga_ls7e_ard_3-0-0_107075_2005-02-07_final
2005-03-18 10:55:15	ga_ls7e_ard_3-0-0_108069_2005-03-18_final
2005-08-31 10:22:52	ga_ls7e_ard_3-0-0_102082_2005-08-31_final
2006-02-17 10:55:37	ga_ls7e_ard_3-0-0_108069_2006-02-17_final
2006-02-27 09:54:14	ga_ls7e_ard_3-0-0_098070_2006-02-27_final
2006-04-16 09:53:45	ga_ls7e_ard_3-0-0_098069_2006-04-16_final
2006-09-20 11:03:38	ga_ls7e_ard_3-0-0_109075_2006-09-20_final
2007-02-01 10:25:47	ga_ls7e_ard_3-0-0_103071_2007-02-01_final
2007-07-11 10:29:39	ga_ls7e_ard_3-0-0_103081_2007-07-11_final
2007-07-17 11:25:51	ga_ls7e_ard_3-0-0_113067_2007-07-17_final
2007-08-14 10:17:31	ga_ls7e_ard_3-0-0_101082_2007-08-14_final
2008-11-01 09:39:32	ga_ls7e_ard_3-0-0_096067_2008-11-01_final
2009-03-31 09:10:33	ga_ls7e_ard_3-0-0_090084_2009-03-30_final
2010-04-08 09:29:27	ga_ls7e_ard_3-0-0_093080_2010-04-07_final
2010-06-18 09:32:46	ga_ls7e_ard_3-0-0_094073_2010-06-18_final
2011-01-08 09:57:47	ga_ls7e_ard_3-0-0_098071_2011-01-08_final
2011-02-24 09:21:58	ga_ls7e_ard_3-0-0_091089_2011-02-23_final
2011-09-30 09:56:24	ga_ls7e_ard_3-0-0_097083_2011-09-30_final
2013-03-04 09:48:44	ga_ls7e_ard_3-0-0_096072_2013-03-04_final
2013-07-03 09:39:55	ga_ls7e_ard_3-0-0_095067_2013-07-03_final
2015-01-14 09:42:59	ga_ls7e_ard_3-0-0_095067_2015-01-14_final
2015-05-22 09:43:52	ga_ls7e_ard_3-0-0_095067_2015-05-22_final
2016-01-23 10:50:44	ga_ls7e_ard_3-0-0_105074_2016-01-23_final
2016-02-26 10:36:33	ga_ls7e_ard_3-0-0_103069_2016-02-26_final
2017-06-19 09:53:13	ga_ls7e_ard_3-0-0_096067_2017-06-19_final
2018-09-10 11:27:30	ga_ls7e_ard_3-0-0_112067_2018-09-10_final
2019-05-01 11:20:58	ga_ls7e_ard_3-0-0_111083_2019-05-01_final
2019-05-01 11:21:22	ga_ls7e_ard_3-0-0_111084_2019-05-01_final
2019-06-29 09:21:45	ga_ls7e_ard_3-0-0_092084_2019-06-28_final
2019-07-01 10:44:36	ga_ls7e_ard_3-1-0_106075_2019-07-01_final
2019-07-18 11:30:00	ga_ls7e_ard_3-0-0_113082_2019-07-18_final
2020-03-21 11:24:10	ga_ls7e_ard_3-1-0_114081_2020-03-21_final
2020-05-17 11:14:14	ga_ls7e_ard_3-1-0_113080_2020-05-17_final
2020-06-13 10:52:54	ga_ls7e_ard_3-1-0_110077_2020-06-13_final
2021-01-23 08:57:57	ga_ls7e_ard_3-2-0_094074_2021-01-22_final
2021-02-08 09:01:34	ga_ls7e_ard_3-2-0_094086_2021-02-07_final
2021-04-13 08:51:43	ga_ls7e_ard_3-2-0_094074_2021-04-12_final
2021-05-08 10:23:07	ga_ls7e_ard_3-2-0_109076_2021-05-08_final
2021-07-09 08:47:49	ga_ls7e_ard_3-2-0_095067_2021-07-08_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