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
1999-07-22 09:37:48	ga_ls7e_ard_3-0-0_094084_1999-07-22_final
1999-07-29 09:37:17	ga_ls7e_ard_3-0-0_095067_1999-07-29_final
1999-08-27 09:15:13	ga_ls7e_ard_3-0-0_090089_1999-08-26_final
2000-11-11 11:19:48	ga_ls7e_ard_3-0-0_112067_2000-11-11_final
2001-01-24 10:20:35	ga_ls7e_ard_3-0-0_102073_2001-01-24_final
2001-01-25 09:30:57	ga_ls7e_ard_3-0-0_093088_2001-01-25_final
2001-03-09 09:12:13	ga_ls7e_ard_3-0-0_090088_2001-03-08_final
2001-05-15 09:34:17	ga_ls7e_ard_3-0-0_095067_2001-05-15_final
2001-06-11 10:55:10	ga_ls7e_ard_3-0-0_108069_2001-06-11_final
2001-06-11 10:58:22	ga_ls7e_ard_3-0-0_108077_2001-06-11_final
2002-07-09 10:50:10	ga_ls7e_ard_3-0-0_107075_2002-07-09_final
2003-04-04 10:22:00	ga_ls7e_ard_3-0-0_102081_2003-04-04_final
2003-05-21 09:39:27	ga_ls7e_ard_3-0-0_095083_2003-05-21_final
2003-09-22 11:40:12	ga_ls7e_ard_3-1-0_115077_2003-09-22_final
2003-11-17 09:16:40	ga_ls7e_ard_3-0-0_091088_2003-11-16_final
2003-11-18 09:55:33	ga_ls7e_ard_3-0-0_098077_2003-11-18_final
2004-07-12 09:29:25	ga_ls7e_ard_3-0-0_093088_2004-07-11_final
2004-11-27 09:58:12	ga_ls7e_ard_3-0-0_099067_2004-11-27_final
2005-01-14 11:42:12	ga_ls7e_ard_3-0-0_115079_2005-01-14_final
2005-10-22 09:57:21	ga_ls7e_ard_3-1-0_098080_2005-10-22_final
2006-06-10 10:03:32	ga_ls7e_ard_3-0-0_099078_2006-06-10_final
2006-10-26 10:36:16	ga_ls7e_ard_3-0-0_105068_2006-10-26_final
2007-01-06 09:47:47	ga_ls7e_ard_3-0-0_097069_2007-01-06_final
2007-06-08 11:19:44	ga_ls7e_ard_3-0-0_112067_2007-06-08_final
2007-06-17 11:15:09	ga_ls7e_ard_3-0-0_111071_2007-06-17_final
2008-06-01 11:25:31	ga_ls7e_ard_3-0-0_113067_2008-06-01_final
2008-10-13 10:53:35	ga_ls7e_ard_3-0-0_107083_2008-10-13_final
2009-12-13 09:52:06	ga_ls7e_ard_3-0-0_097078_2009-12-13_final
2009-12-16 10:22:40	ga_ls7e_ard_3-0-0_102077_2009-12-16_final
2009-12-27 10:07:07	ga_ls7e_ard_3-0-0_099084_2009-12-27_final
2010-04-10 10:56:46	ga_ls7e_ard_3-0-0_107082_2010-04-10_final
2010-05-14 10:41:56	ga_ls7e_ard_3-0-0_105076_2010-05-14_final
2010-09-19 10:42:53	ga_ls7e_ard_3-0-0_105078_2010-09-19_final
2012-07-11 09:26:11	ga_ls7e_ard_3-0-0_092081_2012-07-10_final
2012-08-20 10:14:29	ga_ls7e_ard_3-0-0_100077_2012-08-20_final
2012-09-15 10:51:01	ga_ls7e_ard_3-1-0_106075_2012-09-15_final
2014-05-19 09:43:45	ga_ls7e_ard_3-0-0_095072_2014-05-19_final
2015-01-25 11:06:09	ga_ls7e_ard_3-0-0_108074_2015-01-25_final
2016-09-28 10:45:10	ga_ls7e_ard_3-0-0_104073_2016-09-28_final
2017-01-19 09:46:31	ga_ls7e_ard_3-0-0_095067_2017-01-19_final
2017-10-24 09:15:57	ga_ls7e_ard_3-0-0_089082_2017-10-23_final
2018-02-20 09:22:10	ga_ls7e_ard_3-1-0_090085_2018-02-19_final
2019-09-24 09:25:07	ga_ls7e_ard_3-1-0_093086_2019-09-23_final
2019-09-29 11:14:45	ga_ls7e_ard_3-1-0_112067_2019-09-29_final
2020-01-12 09:24:45	ga_ls7e_ard_3-1-0_095067_2020-01-11_final
2020-04-04 09:55:15	ga_ls7e_ard_3-1-0_100077_2020-04-04_final
2020-08-09 09:08:21	ga_ls7e_ard_3-1-0_093087_2020-08-08_final
2020-10-27 09:56:27	ga_ls7e_ard_3-1-0_102081_2020-10-27_final
2020-11-14 09:41:40	ga_ls7e_ard_3-1-0_100078_2020-11-14_final
2021-02-12 10:11:26	ga_ls7e_ard_3-2-0_106076_2021-02-12_final
2021-04-05 09:41:49	ga_ls7e_ard_3-2-0_102074_2021-04-05_final
2021-07-28 09:21:28	ga_ls7e_ard_3-2-0_100078_2021-07-27_final
2022-01-23 09:32:16	ga_ls7e_ard_3-2-1_105069_2022-01-23_final
2022-02-21 09:04:03	ga_ls7e_ard_3-2-1_100083_2022-02-20_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