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
2000-04-27 10:22:23	ga_ls7e_ard_3-0-0_102073_2000-04-27_final
2001-06-04 09:17:45	ga_ls7e_ard_3-0-0_091088_2001-06-03_final
2002-06-24 09:56:11	ga_ls7e_ard_3-0-0_098079_2002-06-24_final
2003-05-05 09:33:10	ga_ls7e_ard_3-0-0_095067_2003-05-05_final
2003-05-12 11:21:00	ga_ls7e_ard_3-0-0_112074_2003-05-12_final
2003-07-17 11:09:16	ga_ls7e_ard_3-0-0_110076_2003-07-17_final
2003-07-19 10:54:06	ga_ls7e_ard_3-0-0_108069_2003-07-19_final
2003-09-28 09:28:13	ga_ls7e_ard_3-1-0_093087_2003-09-27_final
2003-11-09 10:02:23	ga_ls7e_ard_3-0-0_099079_2003-11-09_final
2004-05-29 10:38:57	ga_ls7e_ard_3-0-0_105076_2004-05-29_final
2005-02-24 09:57:24	ga_ls7e_ard_3-0-0_098079_2005-02-24_final
2005-06-22 09:24:04	ga_ls7e_ard_3-0-0_092089_2005-06-21_final
2005-08-18 09:14:11	ga_ls7e_ard_3-0-0_091080_2005-08-17_final
2005-09-03 10:50:56	ga_ls7e_ard_3-0-0_107075_2005-09-03_final
2006-01-25 10:51:19	ga_ls7e_ard_3-0-0_107074_2006-01-25_final
2006-03-26 11:17:22	ga_ls7e_ard_3-0-0_111077_2006-03-26_final
2006-06-09 09:23:52	ga_ls7e_ard_3-0-0_092087_2006-06-08_final
2006-07-20 09:15:01	ga_ls7e_ard_3-0-0_091081_2006-07-19_final
2006-08-12 10:55:14	ga_ls7e_ard_3-0-0_108069_2006-08-12_final
2006-12-27 10:51:58	ga_ls7e_ard_3-0-0_107075_2006-12-27_final
2007-02-20 10:56:00	ga_ls7e_ard_3-0-0_108069_2007-02-20_final
2007-07-26 09:43:08	ga_ls7e_ard_3-0-0_096073_2007-07-26_final
2010-03-14 11:12:50	ga_ls7e_ard_3-0-0_110076_2010-03-14_final
2010-08-18 09:04:21	ga_ls7e_ard_3-0-0_089079_2010-08-17_final
2011-05-23 10:08:42	ga_ls7e_ard_3-0-0_099082_2011-05-23_final
2012-01-12 10:40:38	ga_ls7e_ard_3-0-0_105068_2012-01-12_final
2013-06-15 09:56:49	ga_ls7e_ard_3-0-0_097078_2013-06-15_final
2013-07-01 09:59:05	ga_ls7e_ard_3-0-0_097084_2013-07-01_final
2013-07-19 09:44:33	ga_ls7e_ard_3-1-0_095079_2013-07-19_final
2013-12-14 09:23:37	ga_ls7e_ard_3-1-0_091086_2013-12-13_final
2014-06-18 09:55:21	ga_ls7e_ard_3-0-0_097070_2014-06-18_final
2015-03-31 10:10:11	ga_ls7e_ard_3-0-0_099072_2015-03-31_final
2015-07-05 10:12:48	ga_ls7e_ard_3-0-0_099077_2015-07-05_final
2016-02-10 10:41:18	ga_ls7e_ard_3-0-0_103081_2016-02-10_final
2016-04-08 09:42:37	ga_ls7e_ard_3-0-0_093088_2016-04-08_final
2016-04-11 10:09:34	ga_ls7e_ard_3-0-0_098078_2016-04-11_final
2016-07-29 11:18:43	ga_ls7e_ard_3-0-0_109080_2016-07-29_final
2017-02-20 09:48:48	ga_ls7e_ard_3-1-0_095073_2017-02-20_final
2017-04-26 10:31:17	ga_ls7e_ard_3-0-0_102070_2017-04-26_final
2017-10-22 09:26:19	ga_ls7e_ard_3-0-0_091077_2017-10-21_final
2018-02-09 11:17:17	ga_ls7e_ard_3-0-0_109079_2018-02-09_final
2018-06-16 10:27:46	ga_ls7e_ard_3-0-0_102068_2018-06-16_final
2018-11-26 09:23:31	ga_ls7e_ard_3-1-0_091086_2018-11-25_final
2019-04-30 10:37:21	ga_ls7e_ard_3-0-0_104082_2019-04-30_final
2020-01-10 09:42:47	ga_ls7e_ard_3-1-0_097081_2020-01-10_final
2020-01-16 09:04:37	ga_ls7e_ard_3-1-0_091079_2020-01-15_final
2020-02-04 11:08:40	ga_ls7e_ard_3-1-0_112067_2020-02-04_final
2020-04-10 10:54:19	ga_ls7e_ard_3-1-0_110071_2020-04-10_final
2020-06-01 10:28:28	ga_ls7e_ard_3-1-0_106076_2020-06-01_final
2020-07-26 08:57:16	ga_ls7e_ard_3-1-0_091088_2020-07-25_final
2020-10-08 11:06:52	ga_ls7e_ard_3-1-0_113084_2020-10-08_final
2020-11-07 09:36:22	ga_ls7e_ard_3-1-0_099079_2020-11-07_final
2020-12-26 10:12:05	ga_ls7e_ard_3-1-0_106069_2020-12-26_final
2021-07-19 09:28:26	ga_ls7e_ard_3-2-0_101078_2021-07-18_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