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
2001-11-28 11:30:23	ga_ls7e_ard_3-0-0_114067_2001-11-28_final
2003-11-09 11:41:17	ga_ls7e_ard_3-0-0_115079_2003-11-09_final
2003-12-04 11:33:18	ga_ls7e_ard_3-0-0_114074_2003-12-04_final
2004-08-07 11:40:00	ga_ls7e_ard_3-0-0_115075_2004-08-07_final
2005-03-05 11:32:08	ga_ls7e_ard_3-0-0_113084_2005-03-05_final
2005-05-06 11:40:25	ga_ls7e_ard_3-0-0_115074_2005-05-06_final
2005-12-02 11:30:50	ga_ls7e_ard_3-0-0_113081_2005-12-02_final
2005-12-09 11:35:02	ga_ls7e_ard_3-0-0_114076_2005-12-09_final
2005-12-25 11:34:18	ga_ls7e_ard_3-0-0_114074_2005-12-25_final
2006-01-03 11:30:36	ga_ls7e_ard_3-0-0_113080_2006-01-03_final
2006-02-04 11:32:03	ga_ls7e_ard_3-0-0_113083_2006-02-04_final
2006-02-20 11:31:19	ga_ls7e_ard_3-0-0_113081_2006-02-20_final
2006-05-25 11:41:16	ga_ls7e_ard_3-0-0_115075_2006-05-25_final
2007-11-22 11:32:37	ga_ls7e_ard_3-0-0_113084_2007-11-22_final
2008-01-09 11:32:00	ga_ls7e_ard_3-0-0_113082_2008-01-09_final
2008-06-08 11:36:50	ga_ls7e_ard_3-0-0_114080_2008-06-08_final
2008-06-24 11:37:04	ga_ls7e_ard_3-0-0_114081_2008-06-24_final
2008-11-15 11:36:10	ga_ls7e_ard_3-0-0_114080_2008-11-15_final
2009-03-30 11:43:03	ga_ls7e_ard_3-0-0_115079_2009-03-30_final
2010-01-12 11:44:16	ga_ls7e_ard_3-0-0_115079_2010-01-12_final
2010-09-11 11:33:56	ga_ls7e_ard_3-0-0_113082_2010-09-11_final
2011-01-15 11:46:06	ga_ls7e_ard_3-0-0_115079_2011-01-15_final
2012-01-20 11:35:39	ga_ls7e_ard_3-0-0_113082_2012-01-20_final
2012-04-09 11:35:41	ga_ls7e_ard_3-0-0_113082_2012-04-09_final
2012-06-03 11:41:00	ga_ls7e_ard_3-0-0_114079_2012-06-03_final
2012-08-15 11:37:34	ga_ls7e_ard_3-0-0_113084_2012-08-15_final
2012-09-14 11:47:50	ga_ls7e_ard_3-0-0_115078_2012-09-14_final
2013-01-20 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-01-20_final
2014-01-09 11:38:52	ga_ls7e_ard_3-0-0_113084_2014-01-09_final
2014-02-10 11:38:53	ga_ls7e_ard_3-0-0_113083_2014-02-10_final
2014-02-17 11:43:45	ga_ls7e_ard_3-0-0_114080_2014-02-17_final
2014-12-27 11:40:10	ga_ls7e_ard_3-0-0_113082_2014-12-27_final
2016-01-06 11:43:20	ga_ls7e_ard_3-0-0_114067_2016-01-06_final
2016-03-03 11:40:25	ga_ls7e_ard_3-0-0_113074_2016-03-03_final
2016-04-27 11:49:22	ga_ls7e_ard_3-0-0_114080_2016-04-27_final
2016-06-07 11:42:58	ga_ls7e_ard_3-0-0_113079_2016-06-07_final
2016-07-09 11:41:00	ga_ls7e_ard_3-0-0_113074_2016-07-09_final
2016-10-29 11:43:31	ga_ls7e_ard_3-0-0_113080_2016-10-29_final
2017-02-18 11:44:01	ga_ls7e_ard_3-0-0_113083_2017-02-18_final
2018-01-04 11:43:46	ga_ls7e_ard_3-0-0_113082_2018-01-04_final
2018-01-04 11:44:10	ga_ls7e_ard_3-0-0_113083_2018-01-04_final
2018-02-05 11:43:16	ga_ls7e_ard_3-0-0_113082_2018-02-05_final
2018-05-19 11:47:35	ga_ls7e_ard_3-0-0_114081_2018-05-19_final
2018-06-13 11:38:11	ga_ls7e_ard_3-0-0_113074_2018-06-13_final
2018-08-16 11:37:00	ga_ls7e_ard_3-0-0_113074_2018-08-16_final
2018-10-03 11:39:32	ga_ls7e_ard_3-0-0_113083_2018-10-03_final
2019-05-15 11:32:23	ga_ls7e_ard_3-0-0_113082_2019-05-15_final
2019-05-31 11:28:36	ga_ls7e_ard_3-0-0_113074_2019-05-31_final
2019-10-06 11:26:37	ga_ls7e_ard_3-1-0_113082_2019-10-06_final
2019-12-25 11:20:54	ga_ls7e_ard_3-1-0_113077_2019-12-25_final
2020-05-01 11:16:00	ga_ls7e_ard_3-1-0_113082_2020-05-01_final
2020-05-24 11:17:59	ga_ls7e_ard_3-1-0_114075_2020-05-24_final
2020-08-19 11:18:29	ga_ls7e_ard_3-1-0_115074_2020-08-19_final
2020-08-19 11:20:05	ga_ls7e_ard_3-1-0_115078_2020-08-19_final
2020-11-22 08:50:28	ga_ls7e_ard_3-1-0_092075_2020-11-21_final
2020-11-23 09:35:39	ga_ls7e_ard_3-1-0_099080_2020-11-23_final
2020-11-23 09:37:15	ga_ls7e_ard_3-1-0_099084_2020-11-23_final
2020-11-28 09:54:38	ga_ls7e_ard_3-1-0_102082_2020-11-28_final
2020-12-01 10:20:32	ga_ls7e_ard_3-1-0_107070_2020-12-01_final
2020-12-11 09:23:34	ga_ls7e_ard_3-1-0_097084_2020-12-10_final
2020-12-22 09:03:47	ga_ls7e_ard_3-1-0_094083_2020-12-21_final
2020-12-29 10:44:23	ga_ls7e_ard_3-1-0_111073_2020-12-29_final
2021-01-03 11:03:22	ga_ls7e_ard_3-1-0_114075_2021-01-03_final
2021-01-20 10:06:33	ga_ls7e_ard_3-2-0_105075_2021-01-20_final
2021-01-28 09:18:56	ga_ls7e_ard_3-2-0_097081_2021-01-27_final
2021-01-30 09:03:14	ga_ls7e_ard_3-2-0_095073_2021-01-29_final
2021-01-30 10:42:30	ga_ls7e_ard_3-2-0_111074_2021-01-30_final
2021-02-07 09:55:16	ga_ls7e_ard_3-2-0_103081_2021-02-07_final
2021-02-12 10:13:02	ga_ls7e_ard_3-2-0_106080_2021-02-12_final
2021-04-02 10:52:51	ga_ls7e_ard_3-2-0_113081_2021-04-02_final
2021-04-19 09:52:37	ga_ls7e_ard_3-2-0_104073_2021-04-19_final
2021-04-20 08:58:06	ga_ls7e_ard_3-2-0_095076_2021-04-19_final
2021-04-24 08:33:03	ga_ls7e_ard_3-2-0_091076_2021-04-23_final
2021-04-26 09:59:24	ga_ls7e_ard_3-2-0_105076_2021-04-26_final
2021-05-15 10:27:31	ga_ls7e_ard_3-2-0_110073_2021-05-15_final
2021-05-19 10:03:15	ga_ls7e_ard_3-2-0_106075_2021-05-19_final
2021-05-28 09:57:06	ga_ls7e_ard_3-2-0_105077_2021-05-28_final
2021-06-09 10:22:25	ga_ls7e_ard_3-2-0_109081_2021-06-09_final
2021-06-17 09:30:44	ga_ls7e_ard_3-2-0_101077_2021-06-17_final
2021-07-13 08:28:45	ga_ls7e_ard_3-2-0_091082_2021-07-12_final
2021-08-24 08:56:58	ga_ls7e_ard_3-2-0_097069_2021-08-23_final
2021-09-07 10:48:59	ga_ls7e_ard_3-2-0_115074_2021-09-07_final
2021-09-22 08:25:55	ga_ls7e_ard_3-2-0_092075_2021-09-21_final
2021-10-09 10:46:57	ga_ls7e_ard_3-2-0_115076_2021-10-09_final
2021-10-10 09:52:50	ga_ls7e_ard_3-2-0_106080_2021-10-10_final
2021-10-19 09:43:27	ga_ls7e_ard_3-2-0_105074_2021-10-19_final
2021-11-11 09:47:53	ga_ls7e_ard_3-2-0_106075_2021-11-11_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2021-12-07 10:25:40	ga_ls7e_ard_3-2-1_112083_2021-12-07_final
2021-12-08 09:25:34	ga_ls7e_ard_3-2-1_103072_2021-12-07_final
2021-12-11 09:56:35	ga_ls7e_ard_3-2-1_108073_2021-12-11_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-23 10:24:08	ga_ls7e_ard_3-2-1_112083_2021-12-23_final
2021-12-25 08:33:06	ga_ls7e_ard_3-2-1_094084_2021-12-24_final
2021-12-29 09:43:39	ga_ls7e_ard_3-2-1_106076_2021-12-29_final
2021-12-29 09:44:03	ga_ls7e_ard_3-2-1_106077_2021-12-29_final
2022-01-01 10:17:26	ga_ls7e_ard_3-2-1_111084_2022-01-01_final
2022-02-02 08:31:53	ga_ls7e_ard_3-2-1_095075_2022-02-01_final
2022-03-03 09:37:23	ga_ls7e_ard_3-2-1_106076_2022-03-03_final
2022-03-22 10:08:47	ga_ls7e_ard_3-2-1_111082_2022-03-22_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