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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

70 results

Time (local)	Label
1999-09-19 09:21:44	ga_ls7e_ard_3-0-0_091090_1999-09-18_final
2000-04-27 10:20:47	ga_ls7e_ard_3-0-0_102069_2000-04-27_final
2000-09-12 10:56:13	ga_ls7e_ard_3-0-0_108069_2000-09-12_final
2000-12-25 10:09:45	ga_ls7e_ard_3-0-0_100077_2000-12-25_final
2001-02-08 09:38:00	ga_ls7e_ard_3-0-0_095075_2001-02-08_final
2001-02-13 09:59:46	ga_ls7e_ard_3-0-0_098083_2001-02-13_final
2001-07-27 09:35:02	ga_ls7e_ard_3-0-0_094086_2001-07-27_final
2001-10-19 10:44:16	ga_ls7e_ard_3-0-0_106076_2001-10-19_final
2001-11-04 10:44:21	ga_ls7e_ard_3-0-0_106076_2001-11-04_final
2002-01-14 10:50:56	ga_ls7e_ard_3-0-0_107076_2002-01-14_final
2002-05-17 08:55:27	ga_ls7e_ard_3-0-0_088081_2002-05-16_final
2002-06-30 10:53:59	ga_ls7e_ard_3-0-0_108069_2002-06-30_final
2002-07-21 11:13:58	ga_ls7e_ard_3-0-0_111073_2002-07-21_final
2002-10-31 08:59:07	ga_ls7e_ard_3-0-0_089077_2002-10-30_final
2003-01-01 10:50:06	ga_ls7e_ard_3-0-0_107075_2003-01-01_final
2003-04-03 11:14:25	ga_ls7e_ard_3-0-0_111073_2003-04-03_final
2003-04-14 10:54:18	ga_ls7e_ard_3-0-0_108069_2003-04-14_final
2003-04-16 10:44:44	ga_ls7e_ard_3-0-0_106076_2003-04-16_final
2003-05-11 09:02:03	ga_ls7e_ard_3-0-0_089082_2003-05-10_final
2003-08-04 09:22:39	ga_ls7e_ard_3-0-0_092088_2003-08-03_final
2003-11-17 10:52:46	ga_ls7e_ard_3-0-0_107081_2003-11-17_final
2004-01-07 11:25:11	ga_ls7e_ard_3-1-0_112084_2004-01-07_final
2004-02-21 10:50:28	ga_ls7e_ard_3-0-0_107074_2004-02-21_final
2004-07-28 09:26:31	ga_ls7e_ard_3-0-0_093081_2004-07-27_final
2004-10-10 09:58:02	ga_ls7e_ard_3-0-0_099068_2004-10-10_final
2004-11-12 10:44:55	ga_ls7e_ard_3-0-0_106076_2004-11-12_final
2004-11-30 08:56:14	ga_ls7e_ard_3-0-0_088082_2004-11-29_final
2004-12-21 10:51:01	ga_ls7e_ard_3-0-0_107075_2004-12-21_final
2004-12-28 10:56:52	ga_ls7e_ard_3-0-0_108074_2004-12-28_final
2005-06-07 10:02:14	ga_ls7e_ard_3-0-0_099076_2005-06-07_final
2005-09-15 11:13:57	ga_ls7e_ard_3-0-0_111071_2005-09-15_final
2006-03-31 09:57:25	ga_ls7e_ard_3-0-0_098078_2006-03-31_final
2006-07-27 09:19:33	ga_ls7e_ard_3-0-0_092077_2006-07-26_final
2007-10-12 09:53:53	ga_ls7e_ard_3-0-0_098070_2007-10-12_final
2008-01-17 09:02:28	ga_ls7e_ard_3-0-0_089079_2008-01-16_final
2008-02-06 10:15:00	ga_ls7e_ard_3-1-0_101075_2008-02-06_final
2008-03-21 10:41:08	ga_ls7e_ard_3-0-0_105079_2008-03-21_final
2008-04-11 09:23:59	ga_ls7e_ard_3-0-0_092087_2008-04-10_final
2008-07-03 09:52:42	ga_ls7e_ard_3-0-0_097083_2008-07-03_final
2009-01-27 09:47:43	ga_ls7e_ard_3-0-0_097070_2009-01-27_final
2010-01-16 11:17:13	ga_ls7e_ard_3-0-0_111073_2010-01-16_final
2010-03-25 10:57:08	ga_ls7e_ard_3-0-0_107083_2010-03-25_final
2010-04-12 09:08:19	ga_ls7e_ard_3-0-0_089089_2010-04-11_final
2010-06-13 09:20:36	ga_ls7e_ard_3-0-0_091089_2010-06-12_final
2010-11-22 09:06:55	ga_ls7e_ard_3-0-0_089084_2010-11-21_final
2011-02-13 09:37:39	ga_ls7e_ard_3-0-0_094082_2011-02-13_final
2011-07-16 11:09:38	ga_ls7e_ard_3-0-0_109080_2011-07-16_final
2011-10-14 10:06:46	ga_ls7e_ard_3-0-0_099078_2011-10-14_final
2012-09-25 11:31:00	ga_ls7e_ard_3-0-0_112082_2012-09-25_final
2012-12-27 10:57:31	ga_ls7e_ard_3-0-0_107074_2012-12-27_final
2013-03-06 09:34:22	ga_ls7e_ard_3-1-0_094067_2013-03-06_final
2013-04-25 11:02:39	ga_ls7e_ard_3-0-0_108072_2013-04-25_final
2015-05-18 10:13:46	ga_ls7e_ard_3-0-0_099080_2015-05-18_final
2015-06-12 10:07:44	ga_ls7e_ard_3-0-0_098080_2015-06-12_final
2015-06-25 11:12:08	ga_ls7e_ard_3-0-0_109071_2015-06-25_final
2016-06-24 10:44:59	ga_ls7e_ard_3-0-0_104073_2016-06-24_final
2016-07-02 09:59:56	ga_ls7e_ard_3-0-0_096084_2016-07-02_final
2017-02-23 10:20:08	ga_ls7e_ard_3-0-0_100074_2017-02-23_final
2017-07-11 10:58:15	ga_ls7e_ard_3-1-0_106075_2017-07-11_final
2017-09-05 11:49:38	ga_ls7e_ard_3-0-0_114080_2017-09-05_final
2018-01-03 09:24:50	ga_ls7e_ard_3-0-0_090090_2018-01-02_final
2019-05-20 10:09:51	ga_ls7e_ard_3-0-0_100077_2019-05-20_final
2020-03-02 10:51:30	ga_ls7e_ard_3-1-0_109074_2020-03-02_final
2020-03-29 08:53:48	ga_ls7e_ard_3-1-0_090077_2020-03-28_final
2020-04-06 11:20:52	ga_ls7e_ard_3-1-0_114075_2020-04-06_final
2020-04-26 09:20:53	ga_ls7e_ard_3-1-0_094087_2020-04-25_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-09-04 10:15:33	ga_ls7e_ard_3-2-0_110067_2021-09-04_final
2021-12-05 08:58:33	ga_ls7e_ard_3-2-1_098081_2021-12-04_final
2022-02-06 09:44:26	ga_ls7e_ard_3-2-1_107072_2022-02-06_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