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
2000-01-26 11:40:13	ga_ls7e_ard_3-0-0_114081_2000-01-26_final
2001-04-18 11:37:32	ga_ls7e_ard_3-0-0_114081_2001-04-18_final
2002-03-04 11:36:22	ga_ls7e_ard_3-0-0_114081_2002-03-04_final
2003-08-21 11:39:36	ga_ls7e_ard_3-0-0_115075_2003-08-21_final
2004-04-17 11:39:57	ga_ls7e_ard_3-0-0_115074_2004-04-17_final
2004-06-13 11:36:03	ga_ls7e_ard_3-0-0_114080_2004-06-13_final
2004-09-08 11:40:18	ga_ls7e_ard_3-0-0_115076_2004-09-08_final
2004-09-24 11:39:49	ga_ls7e_ard_3-0-0_115075_2004-09-24_final
2005-04-04 11:42:03	ga_ls7e_ard_3-0-0_115078_2005-04-04_final
2006-05-09 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-05-09_final
2006-11-17 11:41:09	ga_ls7e_ard_3-0-0_115075_2006-11-17_final
2007-06-13 11:41:04	ga_ls7e_ard_3-0-0_115074_2007-06-13_final
2008-01-07 11:43:09	ga_ls7e_ard_3-0-0_115079_2008-01-07_final
2008-08-02 11:42:03	ga_ls7e_ard_3-0-0_115079_2008-08-02_final
2008-08-18 11:39:57	ga_ls7e_ard_3-0-0_115074_2008-08-18_final
2008-08-18 11:41:56	ga_ls7e_ard_3-0-0_115079_2008-08-18_final
2008-10-30 11:35:56	ga_ls7e_ard_3-0-0_114080_2008-10-30_final
2009-11-02 11:32:16	ga_ls7e_ard_3-0-0_114067_2009-11-02_final
2010-11-05 11:34:25	ga_ls7e_ard_3-0-0_114067_2010-11-05_final
2010-12-23 11:38:54	ga_ls7e_ard_3-0-0_114077_2010-12-23_final
2011-08-20 11:40:49	ga_ls7e_ard_3-0-0_114081_2011-08-20_final
2011-10-14 11:46:03	ga_ls7e_ard_3-0-0_115079_2011-10-14_final
2012-01-11 11:38:39	ga_ls7e_ard_3-0-0_114074_2012-01-11_final
2012-01-27 11:39:02	ga_ls7e_ard_3-0-0_114075_2012-01-27_final
2012-03-22 11:44:56	ga_ls7e_ard_3-0-0_115074_2012-03-22_final
2012-11-01 11:48:39	ga_ls7e_ard_3-0-0_115079_2012-11-01_final
2012-11-26 11:43:25	ga_ls7e_ard_3-0-0_114081_2012-11-26_final
2013-01-04 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-04_final
2013-03-02 11:43:34	ga_ls7e_ard_3-0-0_114081_2013-03-02_final
2014-01-23 11:49:32	ga_ls7e_ard_3-0-0_115079_2014-01-23_final
2014-11-23 11:51:05	ga_ls7e_ard_3-0-0_115079_2014-11-23_final
2014-12-27 11:40:57	ga_ls7e_ard_3-0-0_113084_2014-12-27_final
2015-02-04 11:43:43	ga_ls7e_ard_3-0-0_114075_2015-02-04_final
2015-08-22 11:52:39	ga_ls7e_ard_3-0-0_115079_2015-08-22_final
2015-11-03 11:42:18	ga_ls7e_ard_3-0-0_114067_2015-11-03_final
2016-01-13 11:52:48	ga_ls7e_ard_3-0-0_115075_2016-01-13_final
2016-09-09 11:54:42	ga_ls7e_ard_3-0-0_115077_2016-09-09_final
2017-01-01 11:44:44	ga_ls7e_ard_3-0-0_113084_2017-01-01_final
2018-04-01 11:48:23	ga_ls7e_ard_3-0-0_114081_2018-04-01_final
2018-09-24 11:45:08	ga_ls7e_ard_3-0-0_114081_2018-09-24_final
2018-12-13 11:43:12	ga_ls7e_ard_3-0-0_114081_2018-12-13_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-03-03 11:40:45	ga_ls7e_ard_3-1-0_114081_2019-03-03_final
2019-10-20 11:35:36	ga_ls7e_ard_3-1-0_115075_2019-10-20_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2020-04-01 11:01:49	ga_ls7e_ard_3-1-0_111073_2020-04-01_final
2020-11-25 11:03:14	ga_ls7e_ard_3-1-0_113083_2020-11-25_final
2020-12-13 09:09:28	ga_ls7e_ard_3-1-0_095080_2020-12-12_final
2020-12-19 10:10:24	ga_ls7e_ard_3-1-0_105079_2020-12-19_final
2020-12-21 09:54:18	ga_ls7e_ard_3-1-0_103070_2020-12-21_final
2020-12-26 08:40:47	ga_ls7e_ard_3-1-0_090088_2020-12-25_final
2020-12-26 08:41:11	ga_ls7e_ard_3-1-0_090089_2020-12-25_final
2020-12-29 10:44:47	ga_ls7e_ard_3-1-0_111074_2020-12-29_final
2021-01-03 11:03:46	ga_ls7e_ard_3-1-0_114076_2021-01-03_final
2021-01-05 09:15:59	ga_ls7e_ard_3-1-0_096085_2021-01-04_final
2021-01-12 09:20:05	ga_ls7e_ard_3-1-0_097081_2021-01-11_final
2021-01-25 08:46:15	ga_ls7e_ard_3-2-0_092076_2021-01-24_final
2021-02-17 10:32:24	ga_ls7e_ard_3-2-0_109083_2021-02-17_final
2021-02-19 10:15:30	ga_ls7e_ard_3-2-0_107072_2021-02-19_final
2021-02-20 11:01:52	ga_ls7e_ard_3-2-0_114080_2021-02-20_final
2021-02-24 10:34:03	ga_ls7e_ard_3-2-0_110073_2021-02-24_final
2021-02-26 10:21:56	ga_ls7e_ard_3-2-0_108074_2021-02-26_final
2021-03-06 09:35:28	ga_ls7e_ard_3-2-0_100083_2021-03-06_final
2021-03-11 09:49:38	ga_ls7e_ard_3-2-0_103073_2021-03-11_final
2021-04-04 09:01:03	ga_ls7e_ard_3-2-0_095080_2021-04-03_final
2021-04-23 09:29:33	ga_ls7e_ard_3-2-0_100078_2021-04-22_final
2021-05-10 08:34:54	ga_ls7e_ard_3-2-0_091084_2021-05-09_final
2021-05-10 10:12:59	ga_ls7e_ard_3-2-0_107082_2021-05-10_final
2021-05-12 09:57:40	ga_ls7e_ard_3-2-0_105075_2021-05-12_final
2021-05-17 08:41:41	ga_ls7e_ard_3-2-0_092087_2021-05-16_final
2021-06-11 10:11:05	ga_ls7e_ard_3-2-0_107084_2021-06-11_final
2021-06-20 10:00:35	ga_ls7e_ard_3-2-0_106075_2021-06-20_final
2021-06-23 10:29:38	ga_ls7e_ard_3-2-0_111071_2021-06-23_final
2021-07-16 10:37:52	ga_ls7e_ard_3-2-0_112081_2021-07-16_final
2021-07-23 09:04:34	ga_ls7e_ard_3-2-0_097081_2021-07-22_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-08-18 09:35:45	ga_ls7e_ard_3-2-0_103072_2021-08-18_final
2021-08-23 09:57:27	ga_ls7e_ard_3-2-0_106081_2021-08-23_final
2021-09-08 09:51:17	ga_ls7e_ard_3-2-0_106069_2021-09-08_final
2021-09-26 09:38:55	ga_ls7e_ard_3-2-0_104073_2021-09-26_final
2021-10-08 10:01:47	ga_ls7e_ard_3-2-0_108071_2021-10-08_final
2021-10-22 10:18:04	ga_ls7e_ard_3-2-0_110084_2021-10-22_final
2021-10-27 08:51:17	ga_ls7e_ard_3-2-0_097069_2021-10-26_final
2021-11-02 08:18:27	ga_ls7e_ard_3-2-0_091081_2021-11-01_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-02 09:58:31	ga_ls7e_ard_3-2-0_107084_2021-11-02_final
2021-11-11 09:45:29	ga_ls7e_ard_3-2-0_106069_2021-11-11_final
2021-11-12 10:33:50	ga_ls7e_ard_3-2-1_113082_2021-11-12_final
2021-12-12 09:02:28	ga_ls7e_ard_3-2-1_099077_2021-12-11_final
2021-12-12 10:42:08	ga_ls7e_ard_3-2-1_115079_2021-12-12_final
2022-01-10 10:10:23	ga_ls7e_ard_3-2-1_110084_2022-01-10_final
2022-01-26 08:26:23	ga_ls7e_ard_3-2-1_094075_2022-01-25_final
2022-01-26 08:26:47	ga_ls7e_ard_3-2-1_094076_2022-01-25_final
2022-01-30 09:40:33	ga_ls7e_ard_3-2-1_106076_2022-01-30_final
2022-02-04 09:57:24	ga_ls7e_ard_3-2-1_109073_2022-02-04_final
2022-02-23 10:29:35	ga_ls7e_ard_3-2-1_114081_2022-02-23_final
2022-03-01 09:53:07	ga_ls7e_ard_3-2-1_108084_2022-03-01_final
2022-03-03 08:01:18	ga_ls7e_ard_3-2-1_090083_2022-03-02_final
2022-03-15 10:04:05	ga_ls7e_ard_3-2-1_110084_2022-03-15_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_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