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
1999-07-25 11:44:02	ga_ls7e_ard_3-0-0_115075_1999-07-25_final
1999-10-29 11:45:17	ga_ls7e_ard_3-0-0_115078_1999-10-29_final
2000-02-02 11:44:47	ga_ls7e_ard_3-0-0_115077_2000-02-02_final
2001-04-25 11:42:04	ga_ls7e_ard_3-0-0_115077_2001-04-25_final
2001-06-12 11:41:37	ga_ls7e_ard_3-1-0_115077_2001-06-12_final
2001-09-16 11:40:30	ga_ls7e_ard_3-0-0_115077_2001-09-16_final
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2003-05-10 11:34:58	ga_ls7e_ard_3-0-0_114078_2003-05-10_final
2003-10-24 11:39:57	ga_ls7e_ard_3-0-0_115076_2003-10-24_final
2004-05-03 11:39:59	ga_ls7e_ard_3-0-0_115074_2004-05-03_final
2004-05-12 11:35:25	ga_ls7e_ard_3-0-0_114078_2004-05-12_final
2005-08-26 11:42:03	ga_ls7e_ard_3-0-0_115079_2005-08-26_final
2005-09-11 11:40:42	ga_ls7e_ard_3-0-0_115076_2005-09-11_final
2005-11-14 11:41:05	ga_ls7e_ard_3-0-0_115076_2005-11-14_final
2006-10-09 11:36:23	ga_ls7e_ard_3-0-0_114080_2006-10-09_final
2007-04-03 11:37:09	ga_ls7e_ard_3-0-0_114079_2007-04-03_final
2008-05-14 11:41:12	ga_ls7e_ard_3-0-0_115075_2008-05-14_final
2008-08-18 11:39:57	ga_ls7e_ard_3-0-0_115074_2008-08-18_final
2008-09-19 11:40:52	ga_ls7e_ard_3-0-0_115077_2008-09-19_final
2009-08-05 11:43:01	ga_ls7e_ard_3-0-0_115079_2009-08-05_final
2010-02-13 11:43:06	ga_ls7e_ard_3-0-0_115075_2010-02-13_final
2010-03-17 11:43:21	ga_ls7e_ard_3-0-0_115075_2010-03-17_final
2011-04-05 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-04-05_final
2011-10-23 11:39:58	ga_ls7e_ard_3-0-0_114079_2011-10-23_final
2013-01-04 11:46:58	ga_ls7e_ard_3-0-0_115074_2013-01-04_final
2013-05-12 11:47:29	ga_ls7e_ard_3-0-0_115076_2013-05-12_final
2013-07-24 11:41:32	ga_ls7e_ard_3-0-0_114078_2013-07-24_final
2014-06-16 11:48:36	ga_ls7e_ard_3-0-0_115075_2014-06-16_final
2014-09-04 11:48:27	ga_ls7e_ard_3-0-0_115074_2014-09-04_final
2015-11-03 11:47:06	ga_ls7e_ard_3-0-0_114079_2015-11-03_final
2015-12-28 11:52:56	ga_ls7e_ard_3-0-0_115076_2015-12-28_final
2016-11-12 11:53:23	ga_ls7e_ard_3-0-0_115074_2016-11-12_final
2017-07-10 11:53:28	ga_ls7e_ard_3-0-0_115074_2017-07-10_final
2018-03-07 11:52:07	ga_ls7e_ard_3-0-0_115074_2018-03-07_final
2019-03-19 11:39:50	ga_ls7e_ard_3-1-0_114080_2019-03-19_final
2019-05-13 11:42:02	ga_ls7e_ard_3-0-0_115075_2019-05-13_final
2019-05-13 11:43:14	ga_ls7e_ard_3-0-0_115078_2019-05-13_final
2019-09-02 11:39:15	ga_ls7e_ard_3-1-0_115079_2019-09-02_final
2020-10-22 11:15:56	ga_ls7e_ard_3-1-0_115078_2020-10-22_final
2020-11-23 11:13:44	ga_ls7e_ard_3-1-0_115078_2020-11-23_final
2020-11-27 09:13:27	ga_ls7e_ard_3-1-0_095087_2020-11-26_final
2020-12-01 08:47:14	ga_ls7e_ard_3-1-0_091084_2020-11-30_final
2020-12-09 11:12:10	ga_ls7e_ard_3-1-0_115077_2020-12-09_final
2020-12-10 08:39:35	ga_ls7e_ard_3-1-0_090082_2020-12-09_final
2020-12-11 10:55:40	ga_ls7e_ard_3-1-0_113067_2020-12-11_final
2020-12-13 09:07:04	ga_ls7e_ard_3-1-0_095074_2020-12-12_final
2020-12-22 10:42:40	ga_ls7e_ard_3-1-0_110083_2020-12-22_final
2020-12-26 08:41:35	ga_ls7e_ard_3-1-0_090090_2020-12-25_final
2020-12-27 11:00:04	ga_ls7e_ard_3-1-0_113081_2020-12-27_final
2020-12-27 11:01:16	ga_ls7e_ard_3-1-0_113084_2020-12-27_final
2021-01-14 10:47:15	ga_ls7e_ard_3-1-0_111083_2021-01-14_final
2021-01-16 10:29:34	ga_ls7e_ard_3-1-0_109070_2021-01-16_final
2021-01-19 09:24:34	ga_ls7e_ard_3-1-0_098078_2021-01-18_final
2021-02-17 10:32:00	ga_ls7e_ard_3-2-0_109082_2021-02-17_final
2021-03-01 10:49:49	ga_ls7e_ard_3-2-0_113067_2021-03-01_final
2021-03-03 09:04:24	ga_ls7e_ard_3-2-0_095082_2021-03-02_final
2021-03-12 08:59:07	ga_ls7e_ard_3-2-0_094086_2021-03-11_final
2021-04-17 08:32:39	ga_ls7e_ard_3-2-0_090089_2021-04-16_final
2021-04-23 09:31:33	ga_ls7e_ard_3-2-0_100083_2021-04-23_final
2021-04-26 10:00:11	ga_ls7e_ard_3-2-0_105078_2021-04-26_final
2021-04-27 10:44:58	ga_ls7e_ard_3-2-0_112082_2021-04-27_final
2021-05-04 10:44:35	ga_ls7e_ard_3-2-0_113067_2021-05-04_final
2021-05-19 08:27:58	ga_ls7e_ard_3-2-0_090084_2021-05-18_final
2021-05-23 09:36:12	ga_ls7e_ard_3-2-0_102070_2021-05-23_final
2021-06-04 08:26:12	ga_ls7e_ard_3-2-0_090083_2021-06-03_final
2021-06-19 09:16:12	ga_ls7e_ard_3-2-0_099072_2021-06-18_final
2021-06-19 10:57:05	ga_ls7e_ard_3-2-0_115077_2021-06-19_final
2021-07-01 09:43:55	ga_ls7e_ard_3-2-0_103082_2021-07-01_final
2021-07-06 09:57:39	ga_ls7e_ard_3-2-0_106071_2021-07-06_final
2021-07-06 10:01:14	ga_ls7e_ard_3-2-0_106080_2021-07-06_final
2021-07-18 08:47:39	ga_ls7e_ard_3-2-0_094084_2021-07-17_final
2021-07-24 09:44:33	ga_ls7e_ard_3-2-0_104073_2021-07-24_final
2021-08-15 10:45:12	ga_ls7e_ard_3-2-0_114075_2021-08-15_final
2021-08-19 10:23:19	ga_ls7e_ard_3-2-0_110083_2021-08-19_final
2021-08-23 09:57:03	ga_ls7e_ard_3-2-0_106080_2021-08-23_final
2021-08-24 09:03:21	ga_ls7e_ard_3-2-0_097085_2021-08-23_final
2021-09-04 10:18:21	ga_ls7e_ard_3-2-0_110074_2021-09-04_final
2021-09-22 10:03:12	ga_ls7e_ard_3-2-0_108071_2021-09-22_final
2021-09-23 09:07:53	ga_ls7e_ard_3-2-0_099072_2021-09-22_final
2021-10-01 09:58:12	ga_ls7e_ard_3-2-0_107076_2021-10-01_final
2021-10-10 08:17:33	ga_ls7e_ard_3-2-0_090089_2021-10-09_final
2021-10-26 09:52:35	ga_ls7e_ard_3-2-0_106083_2021-10-26_final
2021-11-03 09:01:12	ga_ls7e_ard_3-2-0_098080_2021-11-02_final
2021-11-16 08:27:04	ga_ls7e_ard_3-2-1_093075_2021-11-15_final
2021-11-16 10:05:08	ga_ls7e_ard_3-2-1_109073_2021-11-16_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-12-12 10:40:33	ga_ls7e_ard_3-2-1_115075_2021-12-12_final
2021-12-20 09:53:32	ga_ls7e_ard_3-2-1_107083_2021-12-20_final
2022-01-01 10:13:51	ga_ls7e_ard_3-2-1_111075_2022-01-01_final
2022-01-05 08:15:26	ga_ls7e_ard_3-2-1_091089_2022-01-04_final
2022-01-06 10:33:53	ga_ls7e_ard_3-2-1_114080_2022-01-06_final
2022-01-29 08:57:24	ga_ls7e_ard_3-2-1_099076_2022-01-28_final
2022-01-31 08:46:02	ga_ls7e_ard_3-2-1_097079_2022-01-30_final
2022-01-31 08:48:02	ga_ls7e_ard_3-2-1_097084_2022-01-30_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-22 08:11:08	ga_ls7e_ard_3-2-1_091090_2022-02-21_final
2022-03-03 08:04:05	ga_ls7e_ard_3-2-1_090090_2022-03-02_final
2022-03-10 08:05:11	ga_ls7e_ard_3-2-1_091079_2022-03-09_final
2022-03-11 10:27:37	ga_ls7e_ard_3-2-1_114080_2022-03-11_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