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

57 results

Time (local)	Label
1999-09-08 11:12:49	ga_ls7e_ard_3-0-0_110074_1999-09-08_final
2000-01-25 10:54:10	ga_ls7e_ard_3-0-0_107074_2000-01-25_final
2000-08-13 10:47:04	ga_ls7e_ard_3-0-0_106076_2000-08-13_final
2000-09-21 10:52:37	ga_ls7e_ard_3-0-0_107076_2000-09-21_final
2001-02-12 10:52:11	ga_ls7e_ard_3-0-0_107075_2001-02-12_final
2001-04-16 10:07:02	ga_ls7e_ard_3-0-0_100071_2001-04-16_final
2001-10-02 10:01:25	ga_ls7e_ard_3-0-0_099077_2001-10-02_final
2001-12-14 09:58:23	ga_ls7e_ard_3-0-0_098084_2001-12-14_final
2002-09-20 10:43:45	ga_ls7e_ard_3-0-0_106076_2002-09-20_final
2003-03-17 08:55:51	ga_ls7e_ard_3-0-0_088082_2003-03-16_final
2003-08-28 10:07:40	ga_ls7e_ard_3-0-0_100077_2003-08-28_final
2004-01-16 11:12:14	ga_ls7e_ard_3-0-0_111067_2004-01-16_final
2004-07-16 09:01:29	ga_ls7e_ard_3-0-0_089080_2004-07-15_final
2004-08-20 11:08:42	ga_ls7e_ard_3-0-0_110074_2004-08-20_final
2005-09-07 10:28:34	ga_ls7e_ard_3-0-0_103081_2005-09-07_final
2005-11-15 09:11:22	ga_ls7e_ard_3-0-0_090088_2005-11-14_final
2006-01-10 09:55:11	ga_ls7e_ard_3-0-0_098073_2006-01-10_final
2006-02-02 10:04:19	ga_ls7e_ard_3-0-0_099080_2006-02-02_final
2006-07-04 10:51:39	ga_ls7e_ard_3-0-0_107075_2006-07-04_final
2006-10-23 10:06:31	ga_ls7e_ard_3-0-0_100071_2006-10-23_final
2006-11-19 11:32:01	ga_ls7e_ard_3-0-0_113083_2006-11-19_final
2007-01-01 11:09:43	ga_ls7e_ard_3-0-0_110073_2007-01-01_final
2007-02-04 10:57:54	ga_ls7e_ard_3-0-0_108074_2007-02-04_final
2007-03-15 11:04:39	ga_ls7e_ard_3-0-0_109075_2007-03-15_final
2007-09-28 09:40:21	ga_ls7e_ard_3-0-0_096067_2007-09-28_final
2008-05-06 10:51:48	ga_ls7e_ard_3-0-0_107075_2008-05-06_final
2008-07-16 10:56:56	ga_ls7e_ard_3-0-0_108074_2008-07-16_final
2008-08-12 10:41:23	ga_ls7e_ard_3-0-0_105082_2008-08-12_final
2009-05-29 10:26:17	ga_ls7e_ard_3-0-0_103072_2009-05-29_final
2009-10-31 10:12:05	ga_ls7e_ard_3-0-0_100083_2009-10-31_final
2009-11-01 10:52:11	ga_ls7e_ard_3-0-0_107075_2009-11-01_final
2009-11-17 10:52:24	ga_ls7e_ard_3-0-0_107075_2009-11-17_final
2010-04-26 09:19:52	ga_ls7e_ard_3-0-0_091087_2010-04-25_final
2011-02-20 11:16:46	ga_ls7e_ard_3-0-0_111067_2011-02-20_final
2011-05-27 11:22:52	ga_ls7e_ard_3-1-0_111082_2011-05-27_final
2011-09-16 09:44:28	ga_ls7e_ard_3-0-0_095084_2011-09-16_final
2012-03-30 10:55:53	ga_ls7e_ard_3-0-0_107075_2012-03-30_final
2012-05-01 10:56:13	ga_ls7e_ard_3-0-0_107075_2012-05-01_final
2012-11-19 11:38:25	ga_ls7e_ard_3-0-0_113084_2012-11-19_final
2013-12-22 10:05:30	ga_ls7e_ard_3-0-0_099067_2013-12-22_final
2015-01-27 09:21:19	ga_ls7e_ard_3-0-0_090090_2015-01-26_final
2016-08-05 11:22:55	ga_ls7e_ard_3-0-0_110075_2016-08-05_final
2017-02-20 09:53:59	ga_ls7e_ard_3-0-0_095086_2017-02-20_final
2018-02-21 11:39:54	ga_ls7e_ard_3-0-0_113074_2018-02-21_final
2018-09-10 09:56:12	ga_ls7e_ard_3-1-0_096086_2018-09-10_final
2019-04-02 10:09:15	ga_ls7e_ard_3-0-0_100071_2019-04-02_final
2019-05-27 10:17:46	ga_ls7e_ard_3-0-0_101082_2019-05-27_final
2020-04-21 09:03:02	ga_ls7e_ard_3-1-0_091088_2020-04-20_final
2020-07-08 10:44:26	ga_ls7e_ard_3-1-0_109075_2020-07-08_final
2020-09-20 09:39:06	ga_ls7e_ard_3-1-0_099078_2020-09-20_final
2020-12-09 09:34:29	ga_ls7e_ard_3-1-0_099080_2020-12-09_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-08-09 09:43:08	ga_ls7e_ard_3-2-0_104073_2021-08-09_final
2021-10-25 09:06:14	ga_ls7e_ard_3-2-0_099075_2021-10-24_final
2021-10-29 10:18:49	ga_ls7e_ard_3-2-0_111072_2021-10-29_final
2021-11-30 08:36:53	ga_ls7e_ard_3-2-1_095072_2021-11-29_final
2022-01-13 08:56:57	ga_ls7e_ard_3-2-1_099071_2022-01-12_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