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
1999-07-27 11:31:18	ga_ls7e_ard_3-0-0_113074_1999-07-27_final
2003-08-30 11:35:46	ga_ls7e_ard_3-0-0_114081_2003-08-30_final
2004-02-06 11:34:08	ga_ls7e_ard_3-0-0_114075_2004-02-06_final
2004-04-17 11:41:33	ga_ls7e_ard_3-0-0_115078_2004-04-17_final
2005-03-12 11:31:32	ga_ls7e_ard_3-0-0_114067_2005-03-12_final
2005-03-19 11:42:06	ga_ls7e_ard_3-0-0_115078_2005-03-19_final
2006-09-23 11:34:07	ga_ls7e_ard_3-0-0_114074_2006-09-23_final
2006-12-21 11:25:51	ga_ls7e_ard_3-0-0_113067_2006-12-21_final
2007-08-25 11:31:48	ga_ls7e_ard_3-0-0_114067_2007-08-25_final
2007-12-31 11:36:58	ga_ls7e_ard_3-0-0_114079_2007-12-31_final
2008-04-23 11:25:58	ga_ls7e_ard_3-0-0_112083_2008-04-23_final
2009-02-26 11:42:49	ga_ls7e_ard_3-0-0_115079_2009-02-26_final
2009-04-24 11:37:24	ga_ls7e_ard_3-0-0_114080_2009-04-24_final
2009-08-14 11:32:00	ga_ls7e_ard_3-0-0_114067_2009-08-14_final
2009-12-27 11:43:37	ga_ls7e_ard_3-0-0_115078_2009-12-27_final
2010-03-03 11:34:29	ga_ls7e_ard_3-0-0_113084_2010-03-03_final
2010-11-12 11:45:29	ga_ls7e_ard_3-0-0_115079_2010-11-12_final
2010-12-07 11:37:35	ga_ls7e_ard_3-0-0_114074_2010-12-07_final
2011-02-02 11:31:50	ga_ls7e_ard_3-0-0_113074_2011-02-02_final
2011-05-23 11:44:47	ga_ls7e_ard_3-0-0_115075_2011-05-23_final
2012-01-20 11:36:03	ga_ls7e_ard_3-0-0_113083_2012-01-20_final
2012-01-27 11:39:02	ga_ls7e_ard_3-0-0_114075_2012-01-27_final
2012-11-01 11:48:15	ga_ls7e_ard_3-0-0_115078_2012-11-01_final
2014-03-14 11:35:18	ga_ls7e_ard_3-0-0_113074_2014-03-14_final
2015-01-12 11:40:36	ga_ls7e_ard_3-0-0_113083_2015-01-12_final
2015-12-05 11:47:37	ga_ls7e_ard_3-0-0_114079_2015-12-05_final
2016-04-27 11:47:22	ga_ls7e_ard_3-0-0_114075_2016-04-27_final
2016-05-06 11:38:02	ga_ls7e_ard_3-0-0_113067_2016-05-06_final
2017-01-01 11:40:44	ga_ls7e_ard_3-0-0_113074_2017-01-01_final
2017-03-29 11:46:52	ga_ls7e_ard_3-0-0_114074_2017-03-29_final
2017-06-24 11:55:03	ga_ls7e_ard_3-0-0_115078_2017-06-24_final
2017-08-29 11:43:51	ga_ls7e_ard_3-0-0_113081_2017-08-29_final
2018-05-26 11:52:27	ga_ls7e_ard_3-0-0_115078_2018-05-26_final
2018-07-31 11:37:18	ga_ls7e_ard_3-0-0_113074_2018-07-31_final
2018-08-16 11:40:35	ga_ls7e_ard_3-0-0_113083_2018-08-16_final
2018-10-26 11:41:35	ga_ls7e_ard_3-0-0_114074_2018-10-26_final
2018-11-20 11:34:50	ga_ls7e_ard_3-0-0_113074_2018-11-20_final
2019-03-10 11:43:55	ga_ls7e_ard_3-1-0_115074_2019-03-10_final
2019-03-12 11:28:42	ga_ls7e_ard_3-1-0_113067_2019-03-12_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2020-02-11 11:14:29	ga_ls7e_ard_3-1-0_113067_2020-02-11_final
2020-05-01 11:12:49	ga_ls7e_ard_3-1-0_113074_2020-05-01_final
2020-09-06 11:04:57	ga_ls7e_ard_3-1-0_113074_2020-09-06_final
2020-12-02 09:28:49	ga_ls7e_ard_3-1-0_098080_2020-12-01_final
2020-12-03 10:07:13	ga_ls7e_ard_3-1-0_105068_2020-12-03_final
2020-12-21 09:53:30	ga_ls7e_ard_3-1-0_103068_2020-12-21_final
2021-01-04 10:04:53	ga_ls7e_ard_3-1-0_105068_2021-01-04_final
2021-01-07 10:38:46	ga_ls7e_ard_3-1-0_110076_2021-01-07_final
2021-01-15 09:46:22	ga_ls7e_ard_3-1-0_102070_2021-01-15_final
2021-01-18 08:45:46	ga_ls7e_ard_3-1-0_091089_2021-01-17_final
2021-01-18 10:22:39	ga_ls7e_ard_3-1-0_107084_2021-01-18_final
2021-01-25 08:46:39	ga_ls7e_ard_3-2-0_092077_2021-01-24_final
2021-01-28 09:14:56	ga_ls7e_ard_3-2-0_097071_2021-01-27_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-03-03 10:40:53	ga_ls7e_ard_3-2-0_111076_2021-03-03_final
2021-03-07 08:38:35	ga_ls7e_ard_3-2-0_091080_2021-03-06_final
2021-03-13 09:38:42	ga_ls7e_ard_3-2-0_101077_2021-03-13_final
2021-03-14 10:19:06	ga_ls7e_ard_3-2-0_108070_2021-03-14_final
2021-03-20 09:43:32	ga_ls7e_ard_3-2-0_102075_2021-03-20_final
2021-03-20 09:46:19	ga_ls7e_ard_3-2-0_102082_2021-03-20_final
2021-03-24 09:20:05	ga_ls7e_ard_3-2-0_098079_2021-03-23_final
2021-03-27 09:46:21	ga_ls7e_ard_3-2-0_103068_2021-03-27_final
2021-04-02 10:53:39	ga_ls7e_ard_3-2-0_113083_2021-04-02_final
2021-04-11 09:08:14	ga_ls7e_ard_3-2-0_096084_2021-04-10_final
2021-04-13 10:31:00	ga_ls7e_ard_3-2-0_110075_2021-04-13_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-04-16 09:21:10	ga_ls7e_ard_3-2-0_099071_2021-04-15_final
2021-04-21 09:38:53	ga_ls7e_ard_3-2-0_102070_2021-04-21_final
2021-04-22 08:49:58	ga_ls7e_ard_3-2-0_093087_2021-04-21_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-05-02 09:18:13	ga_ls7e_ard_3-2-0_099067_2021-05-01_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-17 08:41:17	ga_ls7e_ard_3-2-0_092086_2021-05-16_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-06-04 10:01:05	ga_ls7e_ard_3-2-0_106073_2021-06-04_final
2021-06-13 08:16:54	ga_ls7e_ard_3-2-0_089077_2021-06-12_final
2021-06-20 10:03:22	ga_ls7e_ard_3-2-0_106082_2021-06-20_final
2021-07-02 08:44:38	ga_ls7e_ard_3-2-0_094073_2021-07-01_final
2021-07-05 09:17:40	ga_ls7e_ard_3-2-0_099079_2021-07-04_final
2021-07-06 08:23:58	ga_ls7e_ard_3-2-0_090084_2021-07-05_final
2021-07-15 08:17:49	ga_ls7e_ard_3-2-0_089086_2021-07-14_final
2021-07-21 09:13:06	ga_ls7e_ard_3-2-0_099071_2021-07-20_final
2021-07-21 09:13:30	ga_ls7e_ard_3-2-0_099072_2021-07-20_final
2021-07-29 10:01:27	ga_ls7e_ard_3-2-0_107070_2021-07-29_final
2021-07-31 09:48:07	ga_ls7e_ard_3-2-0_105068_2021-07-31_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-27 10:21:41	ga_ls7e_ard_3-2-0_111072_2021-09-27_final
2021-10-22 10:14:05	ga_ls7e_ard_3-2-0_110074_2021-10-22_final
2021-10-27 08:56:05	ga_ls7e_ard_3-2-0_097081_2021-10-26_final
2021-10-27 10:32:10	ga_ls7e_ard_3-2-0_113074_2021-10-27_final
2021-11-03 09:00:25	ga_ls7e_ard_3-2-0_098078_2021-11-02_final
2021-11-27 08:13:27	ga_ls7e_ard_3-2-1_090090_2021-11-26_final
2021-12-16 08:41:21	ga_ls7e_ard_3-2-1_095087_2021-12-15_final
2021-12-25 10:08:23	ga_ls7e_ard_3-2-1_110075_2021-12-25_final
2022-01-06 08:51:25	ga_ls7e_ard_3-2-1_098071_2022-01-05_final
2022-01-20 09:06:27	ga_ls7e_ard_3-2-1_100081_2022-01-19_final
2022-02-06 09:45:14	ga_ls7e_ard_3-2-1_107074_2022-02-06_final
2022-02-13 09:50:41	ga_ls7e_ard_3-2-1_108074_2022-02-13_final
2022-02-26 09:21:43	ga_ls7e_ard_3-2-1_103082_2022-02-25_final
2022-03-12 09:32:18	ga_ls7e_ard_3-2-1_105081_2022-03-12_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