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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

46 results

Time (local)	Label
2000-02-03 09:10:17	ga_ls7e_ard_3-0-0_090077_2000-02-02_final
2000-07-12 10:47:28	ga_ls7e_ard_3-0-0_106076_2000-07-12_final
2001-01-09 11:04:11	ga_ls7e_ard_3-0-0_109074_2001-01-09_final
2001-06-05 09:59:24	ga_ls7e_ard_3-0-0_098084_2001-06-05_final
2001-11-04 10:44:21	ga_ls7e_ard_3-0-0_106076_2001-11-04_final
2001-12-22 10:44:40	ga_ls7e_ard_3-0-0_106076_2001-12-22_final
2002-07-02 10:44:25	ga_ls7e_ard_3-0-0_106076_2002-07-02_final
2002-07-29 10:28:05	ga_ls7e_ard_3-0-0_103082_2002-07-29_final
2003-10-30 11:06:08	ga_ls7e_ard_3-0-0_109084_2003-10-30_final
2003-11-01 09:15:17	ga_ls7e_ard_3-0-0_091085_2003-10-31_final
2003-12-16 10:22:02	ga_ls7e_ard_3-0-0_102081_2003-12-16_final
2003-12-24 11:08:22	ga_ls7e_ard_3-0-0_110073_2003-12-24_final
2004-05-25 11:02:53	ga_ls7e_ard_3-0-0_109074_2004-05-25_final
2005-07-17 10:51:35	ga_ls7e_ard_3-0-0_107076_2005-07-17_final
2005-08-09 10:56:54	ga_ls7e_ard_3-0-0_108074_2005-08-09_final
2005-11-17 10:35:31	ga_ls7e_ard_3-0-0_104082_2005-11-17_final
2006-09-19 10:19:35	ga_ls7e_ard_3-0-0_102073_2006-09-19_final
2006-10-31 09:23:35	ga_ls7e_ard_3-0-0_092087_2006-10-30_final
2007-10-13 09:05:52	ga_ls7e_ard_3-1-0_089089_2007-10-12_final
2009-12-07 10:30:17	ga_ls7e_ard_3-0-0_103081_2009-12-07_final
2010-08-28 09:44:15	ga_ls7e_ard_3-0-0_095086_2010-08-28_final
2011-02-11 09:44:01	ga_ls7e_ard_3-0-0_096067_2011-02-11_final
2011-04-27 11:08:56	ga_ls7e_ard_3-0-0_109078_2011-04-27_final
2011-06-30 11:10:26	ga_ls7e_ard_3-0-0_109082_2011-06-30_final
2012-06-01 10:11:20	ga_ls7e_ard_3-0-0_100071_2012-06-01_final
2012-11-05 09:40:15	ga_ls7e_ard_3-0-0_095067_2012-11-05_final
2012-11-07 11:13:33	ga_ls7e_ard_3-0-0_109084_2012-11-07_final
2013-04-08 10:20:19	ga_ls7e_ard_3-0-0_101074_2013-04-08_final
2013-05-29 10:52:57	ga_ls7e_ard_3-0-0_106079_2013-05-29_final
2014-06-29 11:17:23	ga_ls7e_ard_3-0-0_110074_2014-06-29_final
2014-10-05 11:06:15	ga_ls7e_ard_3-0-0_108076_2014-10-05_final
2015-04-01 09:21:45	ga_ls7e_ard_3-0-0_090090_2015-03-31_final
2015-11-03 10:07:25	ga_ls7e_ard_3-0-0_098077_2015-11-03_final
2016-02-03 10:31:29	ga_ls7e_ard_3-0-0_102072_2016-02-03_final
2016-12-11 11:21:10	ga_ls7e_ard_3-0-0_110071_2016-12-11_final
2017-04-11 11:16:02	ga_ls7e_ard_3-0-0_109074_2017-04-11_final
2017-08-23 10:40:51	ga_ls7e_ard_3-0-0_103078_2017-08-23_final
2020-06-16 09:45:08	ga_ls7e_ard_3-1-0_099078_2020-06-16_final
2020-08-08 10:01:39	ga_ls7e_ard_3-1-0_102081_2020-08-08_final
2020-12-25 09:30:53	ga_ls7e_ard_3-1-0_099074_2020-12-25_final
2021-05-26 08:34:44	ga_ls7e_ard_3-2-0_091087_2021-05-25_final
2021-06-11 08:34:12	ga_ls7e_ard_3-2-0_091089_2021-06-10_final
2021-11-09 10:02:26	ga_ls7e_ard_3-2-0_108080_2021-11-09_final
2022-01-26 08:26:23	ga_ls7e_ard_3-2-1_094075_2022-01-25_final
2022-02-04 09:58:35	ga_ls7e_ard_3-2-1_109076_2022-02-04_final
2022-02-11 08:23:11	ga_ls7e_ard_3-2-1_094071_2022-02-10_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