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
2001-01-23 09:40:07	ga_ls7e_ard_3-0-0_095080_2001-01-23_final
2001-04-13 09:37:19	ga_ls7e_ard_3-0-0_095074_2001-04-13_final
2001-07-02 09:38:33	ga_ls7e_ard_3-1-0_095079_2001-07-02_final
2001-07-02 09:40:33	ga_ls7e_ard_3-0-0_095084_2001-07-02_final
2001-09-04 09:36:13	ga_ls7e_ard_3-0-0_095075_2001-09-04_final
2002-02-27 09:40:09	ga_ls7e_ard_3-0-0_095084_2002-02-27_final
2002-11-10 09:37:52	ga_ls7e_ard_3-0-0_095081_2002-11-10_final
2003-05-05 09:40:21	ga_ls7e_ard_3-0-0_095085_2003-05-05_final
2003-11-13 09:40:56	ga_ls7e_ard_3-0-0_095087_2003-11-13_final
2004-02-17 09:37:54	ga_ls7e_ard_3-0-0_095078_2004-02-17_final
2004-06-24 09:37:01	ga_ls7e_ard_3-0-0_095076_2004-06-24_final
2005-02-03 09:36:41	ga_ls7e_ard_3-0-0_095074_2005-02-03_final
2005-08-14 09:37:44	ga_ls7e_ard_3-0-0_095077_2005-08-14_final
2007-01-08 09:39:01	ga_ls7e_ard_3-0-0_095078_2007-01-08_final
2007-12-10 09:41:05	ga_ls7e_ard_3-0-0_095083_2007-12-10_final
2008-10-25 09:38:50	ga_ls7e_ard_3-0-0_095081_2008-10-25_final
2008-11-10 09:37:53	ga_ls7e_ard_3-0-0_095078_2008-11-10_final
2009-04-03 09:39:29	ga_ls7e_ard_3-1-0_095079_2009-04-03_final
2009-04-19 09:38:45	ga_ls7e_ard_3-0-0_095077_2009-04-19_final
2009-05-21 09:39:14	ga_ls7e_ard_3-0-0_095078_2009-05-21_final
2009-09-26 09:37:44	ga_ls7e_ard_3-0-0_095075_2009-09-26_final
2010-01-16 09:42:19	ga_ls7e_ard_3-0-0_095083_2010-01-16_final
2010-03-21 09:41:45	ga_ls7e_ard_3-0-0_095080_2010-03-21_final
2011-11-19 09:42:01	ga_ls7e_ard_3-0-0_095077_2011-11-19_final
2012-02-23 09:45:44	ga_ls7e_ard_3-0-0_095085_2012-02-23_final
2012-06-14 09:43:36	ga_ls7e_ard_3-1-0_095079_2012-06-14_final
2013-01-24 09:45:47	ga_ls7e_ard_3-0-0_095080_2013-01-24_final
2013-12-26 09:44:24	ga_ls7e_ard_3-0-0_095076_2013-12-26_final
2014-04-17 09:48:41	ga_ls7e_ard_3-0-0_095085_2014-04-17_final
2014-10-10 09:47:33	ga_ls7e_ard_3-0-0_095080_2014-10-10_final
2014-12-29 09:46:06	ga_ls7e_ard_3-0-0_095075_2014-12-29_final
2015-02-15 09:49:52	ga_ls7e_ard_3-0-0_095084_2015-02-15_final
2015-06-07 09:49:10	ga_ls7e_ard_3-0-0_095080_2015-06-07_final
2015-07-09 09:49:18	ga_ls7e_ard_3-0-0_095080_2015-07-09_final
2015-08-10 09:49:01	ga_ls7e_ard_3-1-0_095079_2015-08-10_final
2015-12-16 09:50:47	ga_ls7e_ard_3-0-0_095080_2015-12-16_final
2016-08-12 09:51:49	ga_ls7e_ard_3-1-0_095079_2016-08-12_final
2016-10-31 09:51:52	ga_ls7e_ard_3-1-0_095079_2016-10-31_final
2017-06-12 09:50:36	ga_ls7e_ard_3-0-0_095076_2017-06-12_final
2017-07-30 09:49:51	ga_ls7e_ard_3-0-0_095074_2017-07-30_final
2018-04-12 09:50:00	ga_ls7e_ard_3-1-0_095079_2018-04-12_final
2018-05-30 09:49:11	ga_ls7e_ard_3-1-0_095079_2018-05-30_final
2018-09-03 09:46:35	ga_ls7e_ard_3-0-0_095077_2018-09-03_final
2018-10-21 09:46:40	ga_ls7e_ard_3-0-0_095080_2018-10-21_final
2019-08-21 09:36:34	ga_ls7e_ard_3-0-0_095080_2019-08-21_final
2020-01-12 09:31:56	ga_ls7e_ard_3-1-0_095085_2020-01-12_final
2020-01-28 09:27:57	ga_ls7e_ard_3-1-0_095077_2020-01-27_final
2020-02-29 09:29:29	ga_ls7e_ard_3-1-0_095085_2020-02-28_final
2020-06-20 09:21:23	ga_ls7e_ard_3-1-0_095081_2020-06-19_final
2021-02-10 08:47:52	ga_ls7e_ard_3-2-0_092083_2021-02-09_final
2021-02-28 08:34:08	ga_ls7e_ard_3-2-0_090083_2021-02-27_final
2021-03-18 09:58:03	ga_ls7e_ard_3-2-0_104080_2021-03-18_final
2021-03-20 09:44:20	ga_ls7e_ard_3-2-0_102077_2021-03-20_final
2021-03-28 08:53:50	ga_ls7e_ard_3-2-0_094076_2021-03-27_final
2021-03-28 10:33:31	ga_ls7e_ard_3-2-0_110078_2021-03-28_final
2021-04-01 10:09:40	ga_ls7e_ard_3-2-0_106081_2021-04-01_final
2021-04-03 09:54:45	ga_ls7e_ard_3-2-0_104075_2021-04-03_final
2021-04-04 09:00:15	ga_ls7e_ard_3-2-0_095078_2021-04-03_final
2021-04-12 09:49:25	ga_ls7e_ard_3-2-0_103079_2021-04-12_final
2021-04-22 10:25:15	ga_ls7e_ard_3-2-0_109078_2021-04-22_final
2021-05-15 08:50:38	ga_ls7e_ard_3-2-0_094078_2021-05-14_final
2021-05-26 10:07:38	ga_ls7e_ard_3-2-0_107072_2021-05-26_final
2021-05-30 09:44:34	ga_ls7e_ard_3-2-0_103077_2021-05-30_final
2021-06-07 08:53:16	ga_ls7e_ard_3-2-0_095074_2021-06-06_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-06-26 09:22:12	ga_ls7e_ard_3-2-0_100073_2021-06-25_final
2021-06-30 10:37:14	ga_ls7e_ard_3-2-0_112076_2021-06-30_final
2021-07-17 09:37:22	ga_ls7e_ard_3-2-0_103069_2021-07-17_final
2021-07-17 09:38:10	ga_ls7e_ard_3-2-0_103071_2021-07-17_final
2021-07-17 09:40:58	ga_ls7e_ard_3-2-0_103078_2021-07-17_final
2021-07-23 10:41:51	ga_ls7e_ard_3-2-0_113077_2021-07-23_final
2021-09-03 09:33:59	ga_ls7e_ard_3-2-0_103071_2021-09-03_final
2021-09-08 09:56:04	ga_ls7e_ard_3-2-0_106081_2021-09-08_final
2021-09-09 10:38:03	ga_ls7e_ard_3-2-0_113078_2021-09-09_final
2021-09-11 08:45:02	ga_ls7e_ard_3-2-0_095074_2021-09-10_final
2021-09-11 10:25:54	ga_ls7e_ard_3-2-0_111079_2021-09-11_final
2021-09-13 08:34:30	ga_ls7e_ard_3-2-0_093079_2021-09-12_final
2021-09-13 10:13:46	ga_ls7e_ard_3-2-0_109080_2021-09-13_final
2021-09-27 08:44:24	ga_ls7e_ard_3-2-0_095076_2021-09-26_final
2021-09-27 10:23:40	ga_ls7e_ard_3-2-0_111077_2021-09-27_final
2021-10-11 10:34:24	ga_ls7e_ard_3-2-0_113076_2021-10-11_final
2021-10-11 10:35:12	ga_ls7e_ard_3-2-0_113078_2021-10-11_final
2021-10-23 09:21:10	ga_ls7e_ard_3-2-0_101081_2021-10-22_final
2021-10-28 09:38:03	ga_ls7e_ard_3-2-0_104078_2021-10-28_final
2021-11-14 08:40:01	ga_ls7e_ard_3-2-1_095076_2021-11-13_final
2021-11-16 08:27:51	ga_ls7e_ard_3-2-1_093077_2021-11-15_final
2021-11-22 09:27:28	ga_ls7e_ard_3-2-1_103073_2021-11-21_final
2021-11-26 09:02:46	ga_ls7e_ard_3-2-1_099074_2021-11-25_final
2021-12-07 08:46:00	ga_ls7e_ard_3-2-1_096081_2021-12-06_final
2021-12-10 09:15:49	ga_ls7e_ard_3-2-1_101079_2021-12-09_final
2021-12-22 09:39:22	ga_ls7e_ard_3-2-1_105079_2021-12-22_final
2021-12-23 08:44:27	ga_ls7e_ard_3-2-1_096081_2021-12-22_final
2022-01-01 08:34:58	ga_ls7e_ard_3-2-1_095075_2021-12-31_final
2022-01-17 10:15:07	ga_ls7e_ard_3-2-1_111082_2022-01-17_final
2022-01-18 09:15:25	ga_ls7e_ard_3-2-1_102072_2022-01-17_final
2022-01-21 09:49:37	ga_ls7e_ard_3-2-1_107081_2022-01-21_final
2022-01-28 08:15:02	ga_ls7e_ard_3-2-1_092078_2022-01-27_final
2022-02-18 10:11:07	ga_ls7e_ard_3-2-1_111080_2022-02-18_final
2022-03-05 09:24:01	ga_ls7e_ard_3-2-1_104074_2022-03-04_final
2022-04-06 09:19:18	ga_ls7e_ard_3-2-1_104070_2022-04-05_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