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
2001-01-20 09:11:12	ga_ls7e_ard_3-1-0_090085_2001-01-19_final
2001-07-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2001-07-03_final
2001-11-16 09:26:44	ga_ls7e_ard_3-1-0_094067_2001-11-15_final
2002-08-15 09:26:24	ga_ls7e_ard_3-1-0_094067_2002-08-14_final
2003-07-21 09:09:14	ga_ls7e_ard_3-1-0_090085_2003-07-20_final
2003-11-22 09:26:53	ga_ls7e_ard_3-1-0_094067_2003-11-21_final
2004-07-03 09:30:02	ga_ls7e_ard_3-1-0_094074_2004-07-03_final
2004-07-23 09:09:37	ga_ls7e_ard_3-1-0_090085_2004-07-22_final
2004-08-08 09:09:30	ga_ls7e_ard_3-1-0_090085_2004-08-07_final
2004-08-20 09:29:49	ga_ls7e_ard_3-1-0_094074_2004-08-19_final
2004-11-30 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-11-30_final
2005-01-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2005-01-03_final
2005-05-12 09:29:39	ga_ls7e_ard_3-1-0_093087_2005-05-11_final
2006-03-23 09:10:47	ga_ls7e_ard_3-1-0_090085_2006-03-22_final
2006-04-10 10:31:16	ga_ls7e_ard_3-1-0_104070_2006-04-10_final
2006-09-11 09:30:11	ga_ls7e_ard_3-1-0_094073_2006-09-11_final
2007-02-18 09:28:40	ga_ls7e_ard_3-1-0_094067_2007-02-17_final
2007-06-16 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-06-16_final
2007-07-21 09:30:36	ga_ls7e_ard_3-1-0_093088_2007-07-21_final
2008-01-26 10:31:34	ga_ls7e_ard_3-1-0_104070_2008-01-26_final
2008-01-29 09:30:22	ga_ls7e_ard_3-1-0_093087_2008-01-29_final
2008-06-16 09:10:25	ga_ls7e_ard_3-1-0_090085_2008-06-15_final
2008-07-02 09:10:15	ga_ls7e_ard_3-1-0_090085_2008-07-01_final
2009-04-21 09:28:48	ga_ls7e_ard_3-1-0_093083_2009-04-20_final
2010-08-15 10:13:07	ga_ls7e_ard_3-1-0_100081_2010-08-15_final
2011-03-15 11:29:49	ga_ls7e_ard_3-1-0_112084_2011-03-15_final
2011-07-07 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-07-07_final
2011-08-14 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-08-14_final
2011-10-27 09:31:35	ga_ls7e_ard_3-1-0_094067_2011-10-27_final
2011-12-14 09:32:00	ga_ls7e_ard_3-1-0_094067_2011-12-14_final
2012-06-29 10:35:46	ga_ls7e_ard_3-1-0_104070_2012-06-29_final
2012-09-15 09:16:07	ga_ls7e_ard_3-1-0_090085_2012-09-14_final
2013-02-21 10:11:41	ga_ls7e_ard_3-1-0_099083_2013-02-21_final
2014-03-18 09:36:55	ga_ls7e_ard_3-1-0_093087_2014-03-18_final
2014-09-05 09:18:20	ga_ls7e_ard_3-1-0_090085_2014-09-04_final
2015-04-22 09:39:15	ga_ls7e_ard_3-1-0_093087_2015-04-22_final
2015-10-31 09:40:28	ga_ls7e_ard_3-1-0_093087_2015-10-31_final
2016-01-26 09:39:59	ga_ls7e_ard_3-1-0_094067_2016-01-26_final
2018-01-31 09:46:19	ga_ls7e_ard_3-1-0_094083_2018-01-31_final
2018-04-25 09:21:16	ga_ls7e_ard_3-1-0_090085_2018-04-24_final
2018-10-30 09:35:06	ga_ls7e_ard_3-1-0_094067_2018-10-30_final
2019-02-18 10:31:35	ga_ls7e_ard_3-1-0_103077_2019-02-18_final
2019-03-02 10:57:56	ga_ls7e_ard_3-1-0_107082_2019-03-02_final
2019-03-11 09:12:35	ga_ls7e_ard_3-1-0_090082_2019-03-10_final
2019-03-13 10:39:02	ga_ls7e_ard_3-1-0_104082_2019-03-13_final
2019-03-27 09:13:39	ga_ls7e_ard_3-1-0_090086_2019-03-26_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-06-01 10:31:21	ga_ls7e_ard_3-1-0_104070_2019-06-01_final
2019-07-11 11:24:53	ga_ls7e_ard_3-1-0_112084_2019-07-11_final
2019-08-25 10:48:34	ga_ls7e_ard_3-1-0_107075_2019-08-25_final
2019-09-02 09:57:59	ga_ls7e_ard_3-1-0_099073_2019-09-02_final
2019-09-09 10:07:51	ga_ls7e_ard_3-1-0_100083_2019-09-09_final
2019-09-30 10:21:29	ga_ls7e_ard_3-1-0_103073_2019-09-30_final
2019-10-05 09:02:56	ga_ls7e_ard_3-1-0_090078_2019-10-04_final
2019-10-10 09:24:27	ga_ls7e_ard_3-1-0_093086_2019-10-09_final
2019-10-12 10:44:30	ga_ls7e_ard_3-1-0_107070_2019-10-12_final
2019-10-12 10:46:54	ga_ls7e_ard_3-1-0_107076_2019-10-12_final
2019-10-16 10:22:25	ga_ls7e_ard_3-1-0_103077_2019-10-16_final
2019-10-21 09:03:51	ga_ls7e_ard_3-1-0_090082_2019-10-20_final
2019-10-26 09:23:46	ga_ls7e_ard_3-1-0_093086_2019-10-25_final
2019-10-27 10:06:11	ga_ls7e_ard_3-1-0_100084_2019-10-27_final
2019-11-05 09:59:36	ga_ls7e_ard_3-1-0_099084_2019-11-05_final
2019-11-06 09:01:33	ga_ls7e_ard_3-1-0_090078_2019-11-05_final
2019-11-12 10:01:05	ga_ls7e_ard_3-1-0_100073_2019-11-12_final
2019-11-13 10:43:06	ga_ls7e_ard_3-1-0_107070_2019-11-13_final
2019-11-17 10:22:11	ga_ls7e_ard_3-1-0_103080_2019-11-17_final
2019-11-29 10:47:08	ga_ls7e_ard_3-1-0_107082_2019-11-29_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-07 09:51:42	ga_ls7e_ard_3-1-0_099068_2019-12-07_final
2019-12-18 11:17:05	ga_ls7e_ard_3-1-0_112082_2019-12-18_final
2019-12-19 10:16:13	ga_ls7e_ard_3-1-0_103069_2019-12-19_final
2019-12-29 09:19:29	ga_ls7e_ard_3-1-0_093083_2019-12-28_final
2019-12-31 10:41:55	ga_ls7e_ard_3-1-0_107073_2019-12-31_final
2020-01-03 11:16:15	ga_ls7e_ard_3-1-0_112082_2020-01-03_final
2020-01-04 10:16:11	ga_ls7e_ard_3-1-0_103071_2020-01-04_final
2020-01-04 10:16:59	ga_ls7e_ard_3-1-0_103073_2020-01-04_final
2020-01-08 09:56:26	ga_ls7e_ard_3-1-0_099084_2020-01-08_final
2020-01-19 11:13:03	ga_ls7e_ard_3-1-0_112076_2020-01-19_final
2020-01-19 11:15:27	ga_ls7e_ard_3-1-0_112082_2020-01-19_final
2020-02-06 09:20:31	ga_ls7e_ard_3-1-0_094075_2020-02-05_final
2020-02-21 10:14:57	ga_ls7e_ard_3-1-0_103074_2020-02-21_final
2020-02-21 10:16:09	ga_ls7e_ard_3-1-0_103077_2020-02-21_final
2020-02-25 09:50:01	ga_ls7e_ard_3-1-0_099074_2020-02-25_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-03-02 09:13:25	ga_ls7e_ard_3-1-0_093076_2020-03-01_final
2020-03-02 09:13:49	ga_ls7e_ard_3-1-0_093077_2020-03-01_final
2020-03-03 09:59:25	ga_ls7e_ard_3-1-0_100083_2020-03-03_final
2020-03-18 09:11:45	ga_ls7e_ard_3-1-0_093074_2020-03-17_final
2020-03-23 11:12:29	ga_ls7e_ard_3-1-0_112083_2020-03-23_final
2020-03-25 09:20:44	ga_ls7e_ard_3-1-0_094082_2020-03-24_final
2020-03-31 10:21:24	ga_ls7e_ard_3-1-0_104080_2020-03-31_final
2020-04-05 10:36:04	ga_ls7e_ard_3-1-0_107071_2020-04-05_final
2020-04-13 09:50:57	ga_ls7e_ard_3-1-0_099083_2020-04-13_final
2020-04-21 10:38:43	ga_ls7e_ard_3-1-0_107080_2020-04-21_final
2020-04-29 09:45:37	ga_ls7e_ard_3-1-0_099072_2020-04-29_final
2022-03-13 08:37:46	ga_ls7e_ard_3-2-1_096084_2022-03-12_final
2022-03-21 09:22:02	ga_ls7e_ard_3-2-1_104073_2022-03-20_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_final
2022-04-01 09:06:03	ga_ls7e_ard_3-2-1_101082_2022-03-31_final
2022-04-02 09:46:01	ga_ls7e_ard_3-2-1_108074_2022-04-02_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