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
2000-07-14 10:32:42	ga_ls7e_ard_3-1-0_104070_2000-07-14_final
2000-08-15 10:32:19	ga_ls7e_ard_3-1-0_104070_2000-08-15_final
2000-12-21 10:31:39	ga_ls7e_ard_3-1-0_104070_2000-12-21_final
2001-08-05 09:27:30	ga_ls7e_ard_3-1-0_093083_2001-08-04_final
2001-12-21 10:01:00	ga_ls7e_ard_3-1-0_099075_2001-12-21_final
2002-06-22 10:10:34	ga_ls7e_ard_3-1-0_100084_2002-06-22_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2002-08-25 10:10:08	ga_ls7e_ard_3-1-0_100084_2002-08-25_final
2002-10-08 10:28:55	ga_ls7e_ard_3-1-0_104070_2002-10-08_final
2002-11-09 10:29:07	ga_ls7e_ard_3-1-0_104070_2002-11-09_final
2002-12-14 09:26:41	ga_ls7e_ard_3-1-0_093083_2002-12-13_final
2003-07-27 10:09:23	ga_ls7e_ard_3-1-0_100081_2003-07-27_final
2005-04-07 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-04-07_final
2005-04-23 10:34:22	ga_ls7e_ard_3-1-0_104079_2005-04-23_final
2005-09-30 10:33:53	ga_ls7e_ard_3-1-0_104079_2005-09-30_final
2005-10-20 10:10:05	ga_ls7e_ard_3-1-0_100081_2005-10-20_final
2005-12-03 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-12-03_final
2005-12-19 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-12-19_final
2006-11-23 09:30:26	ga_ls7e_ard_3-1-0_093088_2006-11-23_final
2006-12-10 10:11:02	ga_ls7e_ard_3-1-0_100081_2006-12-10_final
2007-01-11 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-01-11_final
2007-07-21 09:28:36	ga_ls7e_ard_3-1-0_093083_2007-07-20_final
2008-01-10 10:31:35	ga_ls7e_ard_3-1-0_104070_2008-01-10_final
2008-04-15 10:31:21	ga_ls7e_ard_3-1-0_104070_2008-04-15_final
2009-08-08 10:31:25	ga_ls7e_ard_3-1-0_104070_2009-08-08_final
2010-03-20 10:33:23	ga_ls7e_ard_3-1-0_104070_2010-03-20_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2010-08-30 09:29:54	ga_ls7e_ard_3-1-0_093081_2010-08-29_final
2010-10-01 09:28:15	ga_ls7e_ard_3-1-0_093077_2010-09-30_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2011-01-21 09:30:10	ga_ls7e_ard_3-1-0_093079_2011-01-21_final
2011-07-29 10:34:42	ga_ls7e_ard_3-1-0_104070_2011-07-29_final
2011-09-15 10:34:30	ga_ls7e_ard_3-1-0_104070_2011-09-15_final
2013-09-07 09:33:59	ga_ls7e_ard_3-1-0_093083_2013-09-07_final
2013-12-09 10:37:35	ga_ls7e_ard_3-1-0_104070_2013-12-09_final
2013-12-28 09:34:51	ga_ls7e_ard_3-1-0_093083_2013-12-28_final
2014-10-12 09:36:23	ga_ls7e_ard_3-1-0_093083_2014-10-12_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2015-05-05 10:40:33	ga_ls7e_ard_3-1-0_104070_2015-05-05_final
2015-10-12 10:41:22	ga_ls7e_ard_3-1-0_104070_2015-10-12_final
2015-10-28 10:41:38	ga_ls7e_ard_3-1-0_104070_2015-10-28_final
2016-09-28 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-09-28_final
2016-11-15 10:43:46	ga_ls7e_ard_3-1-0_104070_2016-11-15_final
2017-03-26 09:40:39	ga_ls7e_ard_3-1-0_093083_2017-03-26_final
2017-04-11 09:40:44	ga_ls7e_ard_3-1-0_093083_2017-04-11_final
2017-04-24 10:43:38	ga_ls7e_ard_3-1-0_104070_2017-04-24_final
2018-04-27 10:41:46	ga_ls7e_ard_3-1-0_104070_2018-04-27_final
2018-12-07 10:37:11	ga_ls7e_ard_3-1-0_104070_2018-12-07_final
2019-01-08 10:36:14	ga_ls7e_ard_3-1-0_104070_2019-01-08_final
2019-02-22 10:05:33	ga_ls7e_ard_3-1-0_099074_2019-02-22_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-03-02 10:57:32	ga_ls7e_ard_3-1-0_107081_2019-03-02_final
2019-03-10 10:05:02	ga_ls7e_ard_3-1-0_099074_2019-03-10_final
2019-03-16 09:29:45	ga_ls7e_ard_3-1-0_093079_2019-03-15_final
2019-03-18 10:53:49	ga_ls7e_ard_3-1-0_107073_2019-03-18_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-08-25 10:48:58	ga_ls7e_ard_3-1-0_107076_2019-08-25_final
2019-08-29 10:22:04	ga_ls7e_ard_3-1-0_103071_2019-08-29_final
2019-09-05 10:31:32	ga_ls7e_ard_3-1-0_104080_2019-09-05_final
2019-09-10 10:46:40	ga_ls7e_ard_3-1-0_107072_2019-09-10_final
2019-09-21 10:27:38	ga_ls7e_ard_3-1-0_104072_2019-09-21_final
2019-09-21 10:28:26	ga_ls7e_ard_3-1-0_104074_2019-09-21_final
2019-09-21 10:30:02	ga_ls7e_ard_3-1-0_104078_2019-09-21_final
2019-09-26 10:45:58	ga_ls7e_ard_3-1-0_107072_2019-09-26_final
2019-09-26 10:47:57	ga_ls7e_ard_3-1-0_107077_2019-09-26_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-16 10:23:12	ga_ls7e_ard_3-1-0_103079_2019-10-16_final
2019-10-23 10:29:53	ga_ls7e_ard_3-1-0_104081_2019-10-23_final
2019-10-28 10:47:49	ga_ls7e_ard_3-1-0_107080_2019-10-28_final
2019-11-08 10:25:11	ga_ls7e_ard_3-1-0_104071_2019-11-08_final
2019-11-08 10:26:47	ga_ls7e_ard_3-1-0_104075_2019-11-08_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-11 09:21:03	ga_ls7e_ard_3-1-0_093081_2019-11-10_final
2019-11-27 09:19:30	ga_ls7e_ard_3-1-0_093079_2019-11-26_final
2019-12-29 09:17:30	ga_ls7e_ard_3-1-0_093078_2019-12-28_final
2020-01-11 10:22:01	ga_ls7e_ard_3-1-0_104071_2020-01-11_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-02-01 10:41:54	ga_ls7e_ard_3-1-0_107077_2020-02-01_final
2020-03-02 09:15:49	ga_ls7e_ard_3-1-0_093082_2020-03-01_final
2020-03-04 10:40:14	ga_ls7e_ard_3-1-0_107077_2020-03-04_final
2020-03-04 10:40:38	ga_ls7e_ard_3-1-0_107078_2020-03-04_final
2020-03-15 10:18:42	ga_ls7e_ard_3-1-0_104071_2020-03-15_final
2020-03-15 10:22:41	ga_ls7e_ard_3-1-0_104081_2020-03-15_final
2020-03-24 10:14:25	ga_ls7e_ard_3-1-0_103077_2020-03-24_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-05 10:40:03	ga_ls7e_ard_3-1-0_107081_2020-04-05_final
2020-04-16 10:20:29	ga_ls7e_ard_3-1-0_104080_2020-04-16_final
2020-04-21 10:37:56	ga_ls7e_ard_3-1-0_107078_2020-04-21_final
2020-04-21 10:39:07	ga_ls7e_ard_3-1-0_107081_2020-04-21_final
2020-04-25 10:13:46	ga_ls7e_ard_3-1-0_103080_2020-04-25_final
2020-04-29 09:46:49	ga_ls7e_ard_3-1-0_099075_2020-04-29_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-15 08:22:49	ga_ls7e_ard_3-2-1_094078_2022-03-14_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-24 08:17:22	ga_ls7e_ard_3-2-1_093082_2022-03-23_final
2022-03-29 08:33:50	ga_ls7e_ard_3-2-1_096078_2022-03-28_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_final
2022-03-31 08:20:53	ga_ls7e_ard_3-2-1_094077_2022-03-30_final
2022-04-01 09:01:15	ga_ls7e_ard_3-2-1_101070_2022-03-31_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