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

First 100 results (query limit)

Time (local)	Label
2000-01-05 09:37:14	ga_ls7e_ard_3-0-0_095067_2000-01-05_final
2001-01-23 09:36:56	ga_ls7e_ard_3-0-0_095072_2001-01-23_final
2001-09-20 09:32:51	ga_ls7e_ard_3-0-0_095067_2001-09-20_final
2002-01-06 11:41:06	ga_ls7e_ard_3-0-0_115078_2002-01-06_final
2002-11-22 11:40:32	ga_ls7e_ard_3-0-0_115078_2002-11-22_final
2003-07-24 09:40:30	ga_ls7e_ard_3-0-0_095086_2003-07-24_final
2004-09-08 11:41:05	ga_ls7e_ard_3-0-0_115078_2004-09-08_final
2004-10-26 11:41:11	ga_ls7e_ard_3-0-0_115078_2004-10-26_final
2004-11-14 08:56:04	ga_ls7e_ard_3-0-0_088082_2004-11-13_final
2004-12-29 11:41:44	ga_ls7e_ard_3-0-0_115078_2004-12-29_final
2005-03-06 08:56:49	ga_ls7e_ard_3-0-0_088082_2005-03-05_final
2005-05-25 08:56:19	ga_ls7e_ard_3-0-0_088081_2005-05-24_final
2005-05-25 08:56:43	ga_ls7e_ard_3-0-0_088082_2005-05-24_final
2005-09-15 09:35:28	ga_ls7e_ard_3-0-0_095072_2005-09-15_final
2006-02-06 09:36:26	ga_ls7e_ard_3-0-0_095072_2006-02-06_final
2006-03-06 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-03-06_final
2006-03-26 09:34:30	ga_ls7e_ard_3-0-0_095067_2006-03-26_final
2007-01-24 09:41:52	ga_ls7e_ard_3-0-0_095085_2007-01-24_final
2007-03-13 09:37:19	ga_ls7e_ard_3-1-0_095073_2007-03-13_final
2007-03-28 08:57:40	ga_ls7e_ard_3-0-0_088082_2007-03-27_final
2008-02-27 08:57:21	ga_ls7e_ard_3-0-0_088082_2008-02-26_final
2008-05-18 09:40:22	ga_ls7e_ard_3-0-0_095082_2008-05-18_final
2008-12-24 11:42:22	ga_ls7e_ard_3-0-0_115079_2008-12-24_final
2009-04-03 09:34:41	ga_ls7e_ard_3-0-0_095067_2009-04-03_final
2010-04-06 09:36:37	ga_ls7e_ard_3-0-0_095067_2010-04-06_final
2010-04-22 09:38:37	ga_ls7e_ard_3-0-0_095072_2010-04-22_final
2011-01-02 08:59:55	ga_ls7e_ard_3-0-0_088081_2011-01-01_final
2011-01-19 09:40:31	ga_ls7e_ard_3-0-0_095074_2011-01-19_final
2011-02-16 11:45:50	ga_ls7e_ard_3-0-0_115078_2011-02-16_final
2011-04-25 09:38:01	ga_ls7e_ard_3-0-0_095067_2011-04-25_final
2011-12-04 09:00:29	ga_ls7e_ard_3-0-0_088081_2011-12-03_final
2012-02-23 09:38:33	ga_ls7e_ard_3-0-0_095067_2012-02-23_final
2012-03-26 09:38:32	ga_ls7e_ard_3-0-0_095067_2012-03-26_final
2012-10-19 09:02:54	ga_ls7e_ard_3-0-0_088082_2012-10-18_final
2013-01-24 09:40:36	ga_ls7e_ard_3-0-0_095067_2013-01-24_final
2013-02-25 09:42:33	ga_ls7e_ard_3-0-0_095072_2013-02-25_final
2013-05-16 09:40:17	ga_ls7e_ard_3-0-0_095067_2013-05-16_final
2014-01-10 09:03:34	ga_ls7e_ard_3-0-0_088082_2014-01-09_final
2014-02-11 09:03:34	ga_ls7e_ard_3-0-0_088081_2014-02-10_final
2014-02-12 09:41:14	ga_ls7e_ard_3-0-0_095067_2014-02-12_final
2014-02-12 09:43:37	ga_ls7e_ard_3-1-0_095073_2014-02-12_final
2014-05-19 09:41:45	ga_ls7e_ard_3-0-0_095067_2014-05-19_final
2014-06-20 09:49:48	ga_ls7e_ard_3-0-0_095087_2014-06-20_final
2014-07-06 09:49:31	ga_ls7e_ard_3-0-0_095086_2014-07-06_final
2015-05-18 11:51:51	ga_ls7e_ard_3-0-0_115078_2015-05-18_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2016-02-02 09:46:13	ga_ls7e_ard_3-0-0_095067_2016-02-02_final
2016-04-06 09:54:10	ga_ls7e_ard_3-0-0_095086_2016-04-06_final
2016-07-27 09:47:01	ga_ls7e_ard_3-0-0_095067_2016-07-27_final
2017-10-14 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-14_final
2018-04-28 09:47:19	ga_ls7e_ard_3-1-0_095073_2018-04-28_final
2019-03-30 09:38:51	ga_ls7e_ard_3-0-0_095072_2019-03-30_final
2019-09-22 09:31:58	ga_ls7e_ard_3-1-0_095072_2019-09-22_final
2019-11-25 09:27:10	ga_ls7e_ard_3-1-0_095067_2019-11-24_final
2020-04-01 09:27:19	ga_ls7e_ard_3-1-0_095084_2020-03-31_final
2020-11-23 11:12:56	ga_ls7e_ard_3-1-0_115076_2020-11-23_final
2021-01-30 09:03:14	ga_ls7e_ard_3-2-0_095073_2021-01-29_final
2021-02-11 09:29:27	ga_ls7e_ard_3-2-0_099079_2021-02-10_final
2021-02-13 09:13:45	ga_ls7e_ard_3-2-0_097071_2021-02-12_final
2021-02-21 10:04:35	ga_ls7e_ard_3-2-0_105076_2021-02-21_final
2021-02-27 09:23:51	ga_ls7e_ard_3-2-0_099068_2021-02-26_final
2021-03-20 09:44:44	ga_ls7e_ard_3-2-0_102078_2021-03-20_final
2021-04-16 09:21:10	ga_ls7e_ard_3-2-0_099071_2021-04-15_final
2021-05-03 08:31:18	ga_ls7e_ard_3-2-0_090089_2021-05-02_final
2021-05-27 09:16:43	ga_ls7e_ard_3-2-0_098084_2021-05-26_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-04 08:24:36	ga_ls7e_ard_3-2-0_090079_2021-06-03_final
2021-06-26 09:21:25	ga_ls7e_ard_3-2-0_100071_2021-06-25_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-07-09 08:47:49	ga_ls7e_ard_3-2-0_095067_2021-07-08_final
2021-07-21 09:13:30	ga_ls7e_ard_3-2-0_099072_2021-07-20_final
2021-07-21 09:16:18	ga_ls7e_ard_3-2-0_099079_2021-07-20_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-07-30 09:08:56	ga_ls7e_ard_3-2-0_098078_2021-07-29_final
2021-08-10 08:53:01	ga_ls7e_ard_3-2-0_095087_2021-08-09_final
2021-08-30 08:26:33	ga_ls7e_ard_3-2-0_091087_2021-08-29_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-05 08:43:28	ga_ls7e_ard_3-2-0_096067_2021-11-04_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2021-11-20 08:02:45	ga_ls7e_ard_3-2-1_089077_2021-11-19_final
2021-11-20 09:40:49	ga_ls7e_ard_3-2-1_105075_2021-11-20_final
2021-11-23 08:35:44	ga_ls7e_ard_3-2-1_094083_2021-11-22_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-05 08:52:58	ga_ls7e_ard_3-2-1_098067_2021-12-04_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-12 09:03:16	ga_ls7e_ard_3-2-1_099079_2021-12-11_final
2021-12-19 09:07:34	ga_ls7e_ard_3-2-1_100076_2021-12-18_final
2021-12-22 08:01:18	ga_ls7e_ard_3-2-1_089081_2021-12-21_final
2021-12-24 09:24:01	ga_ls7e_ard_3-2-1_103072_2021-12-23_final
2021-12-24 09:24:49	ga_ls7e_ard_3-2-1_103074_2021-12-23_final
2022-01-04 09:05:58	ga_ls7e_ard_3-2-1_100076_2022-01-03_final
2022-01-04 09:09:09	ga_ls7e_ard_3-2-1_100084_2022-01-03_final
2022-01-10 10:08:48	ga_ls7e_ard_3-2-1_110080_2022-01-10_final
2022-01-13 09:00:08	ga_ls7e_ard_3-2-1_099079_2022-01-12_final
2022-01-14 08:08:49	ga_ls7e_ard_3-2-1_090090_2022-01-13_final
2022-01-29 08:58:59	ga_ls7e_ard_3-2-1_099080_2022-01-28_final
2022-02-07 08:51:06	ga_ls7e_ard_3-2-1_098078_2022-02-06_final
2022-02-08 09:33:52	ga_ls7e_ard_3-2-1_105077_2022-02-08_final
2022-03-08 09:54:38	ga_ls7e_ard_3-2-1_109074_2022-03-08_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