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
1999-07-25 10:03:09	ga_ls7e_ard_3-0-0_099070_1999-07-25_final
2000-03-05 10:06:55	ga_ls7e_ard_3-0-0_099080_2000-03-05_final
2000-05-15 10:09:25	ga_ls7e_ard_3-0-0_100072_2000-05-15_final
2001-06-20 09:17:10	ga_ls7e_ard_3-0-0_091087_2001-06-19_final
2002-06-17 09:46:52	ga_ls7e_ard_3-0-0_097071_2002-06-17_final
2002-07-23 11:01:11	ga_ls7e_ard_3-0-0_109072_2002-07-23_final
2002-11-16 10:34:35	ga_ls7e_ard_3-0-0_105068_2002-11-16_final
2002-11-18 10:22:41	ga_ls7e_ard_3-0-0_103069_2002-11-18_final
2003-01-16 10:07:20	ga_ls7e_ard_3-0-0_100076_2003-01-16_final
2004-11-02 10:08:58	ga_ls7e_ard_3-0-0_100079_2004-11-02_final
2004-11-04 09:56:14	ga_ls7e_ard_3-0-0_098078_2004-11-04_final
2005-02-05 11:01:38	ga_ls7e_ard_3-0-0_109070_2005-02-05_final
2005-06-29 11:03:31	ga_ls7e_ard_3-0-0_109075_2005-06-29_final
2005-09-11 10:02:36	ga_ls7e_ard_3-0-0_099078_2005-09-11_final
2005-12-01 10:43:10	ga_ls7e_ard_3-0-0_106070_2005-12-01_final
2006-05-02 09:54:36	ga_ls7e_ard_3-0-0_098071_2006-05-02_final
2006-07-19 10:08:39	ga_ls7e_ard_3-0-0_100076_2006-07-19_final
2006-11-09 09:17:55	ga_ls7e_ard_3-0-0_091088_2006-11-08_final
2007-04-06 10:29:58	ga_ls7e_ard_3-0-0_103081_2007-04-06_final
2007-07-15 09:59:44	ga_ls7e_ard_3-0-0_099068_2007-07-15_final
2008-01-21 10:15:50	ga_ls7e_ard_3-0-0_101077_2008-01-21_final
2008-01-31 09:15:12	ga_ls7e_ard_3-0-0_091080_2008-01-30_final
2008-04-08 10:29:35	ga_ls7e_ard_3-0-0_103081_2008-04-08_final
2008-11-06 10:01:21	ga_ls7e_ard_3-0-0_099075_2008-11-06_final
2008-11-06 10:02:09	ga_ls7e_ard_3-0-0_099077_2008-11-06_final
2009-02-10 09:59:23	ga_ls7e_ard_3-0-0_099068_2009-02-10_final
2009-06-12 10:41:50	ga_ls7e_ard_3-1-0_105080_2009-06-12_final
2009-10-24 10:03:48	ga_ls7e_ard_3-0-0_099078_2009-10-24_final
2010-08-12 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-08-12_final
2010-11-29 10:45:40	ga_ls7e_ard_3-0-0_106068_2010-11-29_final
2010-12-03 10:21:23	ga_ls7e_ard_3-0-0_102069_2010-12-03_final
2010-12-15 10:47:24	ga_ls7e_ard_3-0-0_106072_2010-12-15_final
2011-12-28 09:45:45	ga_ls7e_ard_3-0-0_096070_2011-12-28_final
2012-01-06 09:40:49	ga_ls7e_ard_3-1-0_095073_2012-01-06_final
2012-01-29 09:46:37	ga_ls7e_ard_3-0-0_096072_2012-01-29_final
2012-05-13 11:20:48	ga_ls7e_ard_3-0-0_111074_2012-05-13_final
2013-06-19 09:30:29	ga_ls7e_ard_3-0-0_093074_2013-06-19_final
2015-03-25 10:48:51	ga_ls7e_ard_3-0-0_105076_2015-03-25_final
2015-05-10 09:24:16	ga_ls7e_ard_3-0-0_091080_2015-05-09_final
2015-11-16 11:14:27	ga_ls7e_ard_3-0-0_109074_2015-11-16_final
2016-03-08 10:20:08	ga_ls7e_ard_3-0-0_100074_2016-03-08_final
2016-03-19 10:05:16	ga_ls7e_ard_3-0-0_097083_2016-03-19_final
2016-05-04 10:12:42	ga_ls7e_ard_3-0-0_099070_2016-05-04_final
2016-10-09 10:28:38	ga_ls7e_ard_3-0-0_101078_2016-10-09_final
2017-01-31 10:15:07	ga_ls7e_ard_3-0-0_099077_2017-01-31_final
2017-04-11 11:16:50	ga_ls7e_ard_3-0-0_109076_2017-04-11_final
2017-06-26 11:45:05	ga_ls7e_ard_3-0-0_113084_2017-06-26_final
2018-11-18 10:05:58	ga_ls7e_ard_3-0-0_099068_2018-11-18_final
2019-03-19 10:02:09	ga_ls7e_ard_3-1-0_098083_2019-03-19_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2020-02-09 09:48:52	ga_ls7e_ard_3-1-0_099069_2020-02-09_final
2020-07-01 08:59:47	ga_ls7e_ard_3-1-0_092075_2020-06-30_final
2021-01-17 09:35:04	ga_ls7e_ard_3-1-0_100073_2021-01-17_final
2021-08-21 10:05:36	ga_ls7e_ard_3-2-0_108070_2021-08-21_final
2021-10-19 08:06:10	ga_ls7e_ard_3-2-0_089078_2021-10-18_final
2022-02-13 09:54:16	ga_ls7e_ard_3-2-1_108083_2022-02-13_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_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