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

58 results

Time (local)	Label
1999-08-05 11:25:11	ga_ls7e_ard_3-0-0_112074_1999-08-05_final
1999-11-29 10:58:20	ga_ls7e_ard_3-0-0_108069_1999-11-29_final
1999-12-23 10:12:11	ga_ls7e_ard_3-0-0_100077_1999-12-23_final
2000-09-28 10:57:59	ga_ls7e_ard_3-0-0_108074_2000-09-28_final
2000-10-03 09:34:50	ga_ls7e_ard_3-0-0_095067_2000-10-03_final
2000-11-07 10:09:37	ga_ls7e_ard_3-0-0_100077_2000-11-07_final
2001-05-31 09:34:10	ga_ls7e_ard_3-0-0_095067_2001-05-31_final
2002-09-03 10:01:07	ga_ls7e_ard_3-0-0_099077_2002-09-03_final
2002-10-13 10:49:25	ga_ls7e_ard_3-0-0_107075_2002-10-13_final
2002-12-28 09:32:45	ga_ls7e_ard_3-0-0_095067_2002-12-28_final
2003-11-08 10:54:00	ga_ls7e_ard_3-0-0_108069_2003-11-08_final
2003-11-26 09:08:58	ga_ls7e_ard_3-0-0_090084_2003-11-25_final
2004-03-17 10:45:15	ga_ls7e_ard_3-0-0_106076_2004-03-17_final
2004-05-19 11:41:11	ga_ls7e_ard_3-1-0_115077_2004-05-19_final
2004-06-03 09:22:34	ga_ls7e_ard_3-0-0_092086_2004-06-02_final
2004-07-23 10:44:30	ga_ls7e_ard_3-1-0_106075_2004-07-23_final
2004-08-06 10:54:21	ga_ls7e_ard_3-0-0_108069_2004-08-06_final
2004-12-30 10:45:19	ga_ls7e_ard_3-0-0_106076_2004-12-30_final
2005-01-18 11:14:41	ga_ls7e_ard_3-0-0_111072_2005-01-18_final
2005-08-30 09:33:38	ga_ls7e_ard_3-0-0_095067_2005-08-30_final
2005-12-07 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-12-07_final
2006-01-01 09:59:40	ga_ls7e_ard_3-0-0_099069_2006-01-01_final
2006-03-02 10:24:21	ga_ls7e_ard_3-0-0_103068_2006-03-02_final
2006-11-16 10:55:29	ga_ls7e_ard_3-0-0_108069_2006-11-16_final
2008-09-07 09:33:23	ga_ls7e_ard_3-0-0_095067_2008-09-07_final
2008-12-28 09:34:00	ga_ls7e_ard_3-0-0_095067_2008-12-28_final
2009-04-07 09:13:59	ga_ls7e_ard_3-0-0_091077_2009-04-06_final
2009-05-12 09:41:01	ga_ls7e_ard_3-0-0_096067_2009-05-12_final
2009-11-29 09:35:11	ga_ls7e_ard_3-0-0_095067_2009-11-29_final
2010-06-28 10:11:29	ga_ls7e_ard_3-0-0_100077_2010-06-28_final
2010-10-22 09:50:13	ga_ls7e_ard_3-0-0_096085_2010-10-22_final
2010-10-24 09:38:16	ga_ls7e_ard_3-0-0_094086_2010-10-24_final
2011-12-18 09:12:32	ga_ls7e_ard_3-0-0_090080_2011-12-17_final
2012-04-23 10:04:34	ga_ls7e_ard_3-0-0_099070_2012-04-23_final
2012-09-28 10:23:03	ga_ls7e_ard_3-0-0_101082_2012-09-28_final
2012-12-07 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-12-07_final
2014-06-07 10:17:06	ga_ls7e_ard_3-0-0_100078_2014-06-07_final
2015-02-26 11:04:47	ga_ls7e_ard_3-0-0_108070_2015-02-26_final
2015-09-15 11:04:53	ga_ls7e_ard_3-0-0_107083_2015-09-15_final
2017-02-04 11:32:04	ga_ls7e_ard_3-0-0_111084_2017-02-04_final
2017-05-14 10:21:47	ga_ls7e_ard_3-0-0_100077_2017-05-14_final
2017-06-08 10:13:19	ga_ls7e_ard_3-0-0_099071_2017-06-08_final
2017-06-12 09:47:01	ga_ls7e_ard_3-0-0_095067_2017-06-12_final
2017-10-11 11:20:56	ga_ls7e_ard_3-0-0_110070_2017-10-11_final
2017-10-29 09:31:42	ga_ls7e_ard_3-0-0_092075_2017-10-29_final
2018-05-21 09:50:43	ga_ls7e_ard_3-0-0_096067_2018-05-21_final
2018-09-04 10:31:25	ga_ls7e_ard_3-0-0_102081_2018-09-04_final
2018-11-17 11:04:24	ga_ls7e_ard_3-1-0_108075_2018-11-17_final
2019-09-09 10:05:27	ga_ls7e_ard_3-1-0_100077_2019-09-09_final
2020-04-26 09:20:29	ga_ls7e_ard_3-1-0_094086_2020-04-25_final
2020-07-23 10:02:39	ga_ls7e_ard_3-1-0_102081_2020-07-23_final
2021-04-11 09:01:27	ga_ls7e_ard_3-2-0_096067_2021-04-10_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_final
2021-06-25 10:18:19	ga_ls7e_ard_3-2-0_109074_2021-06-25_final
2021-07-29 08:30:33	ga_ls7e_ard_3-2-0_091090_2021-07-28_final
2021-10-03 08:07:11	ga_ls7e_ard_3-2-0_089077_2021-10-02_final
2021-10-16 09:14:01	ga_ls7e_ard_3-2-0_100077_2021-10-15_final
2022-03-19 07:56:30	ga_ls7e_ard_3-2-1_090075_2022-03-18_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