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
2000-06-29 09:39:16	ga_ls7e_ard_3-0-0_095075_2000-06-29_final
2000-07-11 11:42:42	ga_ls7e_ard_3-0-0_115075_2000-07-11_final
2001-09-20 09:35:39	ga_ls7e_ard_3-0-0_095074_2001-09-20_final
2001-12-05 11:40:04	ga_ls7e_ard_3-0-0_115076_2001-12-05_final
2001-12-30 11:35:14	ga_ls7e_ard_3-0-0_114079_2001-12-30_final
2002-03-31 09:40:47	ga_ls7e_ard_3-0-0_095086_2002-03-31_final
2003-04-15 11:39:58	ga_ls7e_ard_3-0-0_115075_2003-04-15_final
2003-10-12 09:39:17	ga_ls7e_ard_3-0-0_095084_2003-10-12_final
2003-10-12 09:40:05	ga_ls7e_ard_3-0-0_095086_2003-10-12_final
2004-03-16 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-03-16_final
2005-02-19 09:40:01	ga_ls7e_ard_3-0-0_095082_2005-02-19_final
2005-11-02 09:41:21	ga_ls7e_ard_3-0-0_095086_2005-11-02_final
2005-12-20 09:39:13	ga_ls7e_ard_3-0-0_095080_2005-12-20_final
2006-04-27 09:38:50	ga_ls7e_ard_3-0-0_095078_2006-04-27_final
2006-06-03 11:36:40	ga_ls7e_ard_3-0-0_114079_2006-06-03_final
2006-10-09 11:35:35	ga_ls7e_ard_3-0-0_114078_2006-10-09_final
2007-06-13 11:41:04	ga_ls7e_ard_3-0-0_115074_2007-06-13_final
2007-08-20 09:40:24	ga_ls7e_ard_3-0-0_095082_2007-08-20_final
2008-08-22 09:35:55	ga_ls7e_ard_3-1-0_095073_2008-08-22_final
2008-12-28 09:40:47	ga_ls7e_ard_3-0-0_095084_2008-12-28_final
2009-06-06 09:41:14	ga_ls7e_ard_3-0-0_095083_2009-06-06_final
2009-09-06 11:42:10	ga_ls7e_ard_3-1-0_115077_2009-09-06_final
2009-09-10 09:40:33	ga_ls7e_ard_3-0-0_095082_2009-09-10_final
2009-10-12 09:36:53	ga_ls7e_ard_3-1-0_095073_2009-10-12_final
2009-11-13 09:41:22	ga_ls7e_ard_3-0-0_095083_2009-11-13_final
2010-05-24 09:39:19	ga_ls7e_ard_3-0-0_095074_2010-05-24_final
2011-04-05 11:45:14	ga_ls7e_ard_3-0-0_115076_2011-04-05_final
2012-04-27 09:45:32	ga_ls7e_ard_3-0-0_095084_2012-04-27_final
2012-08-13 11:47:07	ga_ls7e_ard_3-1-0_115077_2012-08-13_final
2012-09-18 09:46:38	ga_ls7e_ard_3-0-0_095084_2012-09-18_final
2012-10-09 11:41:52	ga_ls7e_ard_3-0-0_114078_2012-10-09_final
2012-10-20 09:42:59	ga_ls7e_ard_3-0-0_095074_2012-10-20_final
2012-12-19 11:47:19	ga_ls7e_ard_3-0-0_115075_2012-12-19_final
2013-03-29 09:46:50	ga_ls7e_ard_3-0-0_095083_2013-03-29_final
2013-08-09 11:41:24	ga_ls7e_ard_3-0-0_114078_2013-08-09_final
2014-08-07 09:48:03	ga_ls7e_ard_3-0-0_095082_2014-08-07_final
2015-03-08 11:44:43	ga_ls7e_ard_3-0-0_114077_2015-03-08_final
2015-07-05 11:50:29	ga_ls7e_ard_3-0-0_115074_2015-07-05_final
2015-07-25 09:49:45	ga_ls7e_ard_3-0-0_095081_2015-07-25_final
2015-10-02 11:46:08	ga_ls7e_ard_3-0-0_114078_2015-10-02_final
2016-01-13 11:53:12	ga_ls7e_ard_3-0-0_115076_2016-01-13_final
2016-03-21 09:49:20	ga_ls7e_ard_3-0-0_095074_2016-03-21_final
2016-04-22 09:52:43	ga_ls7e_ard_3-0-0_095082_2016-04-22_final
2017-04-05 11:54:40	ga_ls7e_ard_3-0-0_115078_2017-04-05_final
2017-10-02 09:51:00	ga_ls7e_ard_3-0-0_095077_2017-10-02_final
2018-06-27 11:50:41	ga_ls7e_ard_3-0-0_115075_2018-06-27_final
2018-09-03 09:49:23	ga_ls7e_ard_3-0-0_095084_2018-09-03_final
2019-03-30 09:43:38	ga_ls7e_ard_3-0-0_095084_2019-03-30_final
2019-05-01 09:39:17	ga_ls7e_ard_3-0-0_095076_2019-05-01_final
2019-07-20 09:39:52	ga_ls7e_ard_3-0-0_095085_2019-07-20_final
2019-10-08 09:31:43	ga_ls7e_ard_3-1-0_095073_2019-10-08_final
2020-01-12 09:31:32	ga_ls7e_ard_3-1-0_095084_2020-01-12_final
2020-05-08 11:20:10	ga_ls7e_ard_3-1-0_114078_2020-05-08_final
2020-05-19 09:22:04	ga_ls7e_ard_3-1-0_095078_2020-05-18_final
2020-07-18 11:21:18	ga_ls7e_ard_3-1-0_115076_2020-07-18_final
2020-10-31 11:09:33	ga_ls7e_ard_3-1-0_114079_2020-10-31_final
2020-12-13 09:09:52	ga_ls7e_ard_3-1-0_095081_2020-12-12_final
2021-02-17 08:51:07	ga_ls7e_ard_3-2-0_093077_2021-02-16_final
2021-02-24 10:37:15	ga_ls7e_ard_3-2-0_110081_2021-02-24_final
2021-02-26 08:44:16	ga_ls7e_ard_3-2-0_092077_2021-02-25_final
2021-03-06 09:32:41	ga_ls7e_ard_3-2-0_100076_2021-03-06_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-10 09:06:51	ga_ls7e_ard_3-2-0_096074_2021-03-09_final
2021-03-12 08:56:43	ga_ls7e_ard_3-2-0_094080_2021-03-11_final
2021-03-15 09:28:11	ga_ls7e_ard_3-2-0_099082_2021-03-14_final
2021-04-11 09:04:39	ga_ls7e_ard_3-2-0_096075_2021-04-10_final
2021-04-12 09:45:50	ga_ls7e_ard_3-2-0_103070_2021-04-12_final
2021-04-15 10:21:16	ga_ls7e_ard_3-2-0_108082_2021-04-15_final
2021-04-16 11:02:27	ga_ls7e_ard_3-2-0_115077_2021-04-16_final
2021-05-19 10:01:39	ga_ls7e_ard_3-2-0_106071_2021-05-19_final
2021-05-28 09:55:30	ga_ls7e_ard_3-2-0_105073_2021-05-28_final
2021-05-30 09:41:22	ga_ls7e_ard_3-2-0_103069_2021-05-30_final
2021-05-31 08:52:03	ga_ls7e_ard_3-2-0_094085_2021-05-30_final
2021-06-20 08:24:54	ga_ls7e_ard_3-2-0_090083_2021-06-19_final
2021-06-25 10:17:07	ga_ls7e_ard_3-2-0_109071_2021-06-25_final
2021-06-25 10:17:31	ga_ls7e_ard_3-2-0_109072_2021-06-25_final
2021-07-04 10:09:23	ga_ls7e_ard_3-2-0_108069_2021-07-04_final
2021-07-10 09:31:24	ga_ls7e_ard_3-2-0_102068_2021-07-10_final
2021-07-13 08:26:21	ga_ls7e_ard_3-2-0_091076_2021-07-12_final
2021-08-26 08:49:13	ga_ls7e_ard_3-2-0_095081_2021-08-25_final
2021-08-30 10:04:14	ga_ls7e_ard_3-2-0_107084_2021-08-30_final
2021-09-06 10:03:49	ga_ls7e_ard_3-2-0_108069_2021-09-06_final
2021-09-29 10:09:56	ga_ls7e_ard_3-2-0_109074_2021-09-29_final
2021-10-06 10:15:07	ga_ls7e_ard_3-2-0_110073_2021-10-06_final
2021-10-18 10:39:10	ga_ls7e_ard_3-2-0_114074_2021-10-18_final
2021-10-27 08:54:53	ga_ls7e_ard_3-2-0_097078_2021-10-26_final
2021-11-07 10:11:24	ga_ls7e_ard_3-2-0_110071_2021-11-07_final
2021-11-18 08:18:30	ga_ls7e_ard_3-2-1_091085_2021-11-17_final
2021-11-23 08:35:20	ga_ls7e_ard_3-2-1_094082_2021-11-22_final
2021-11-30 08:41:16	ga_ls7e_ard_3-2-1_095083_2021-11-29_final
2022-01-13 10:38:13	ga_ls7e_ard_3-2-1_115077_2022-01-13_final
2022-02-02 10:07:58	ga_ls7e_ard_3-2-1_111068_2022-02-02_final
2022-02-06 08:07:57	ga_ls7e_ard_3-2-1_091078_2022-02-05_final
2022-02-07 08:49:30	ga_ls7e_ard_3-2-1_098074_2022-02-06_final
2022-02-10 09:20:06	ga_ls7e_ard_3-2-1_103074_2022-02-09_final
2022-03-03 09:36:35	ga_ls7e_ard_3-2-1_106074_2022-03-03_final
2022-03-04 10:20:08	ga_ls7e_ard_3-2-1_113075_2022-03-04_final
2022-03-08 09:57:01	ga_ls7e_ard_3-2-1_109080_2022-03-08_final
2022-03-13 08:32:35	ga_ls7e_ard_3-2-1_096071_2022-03-12_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_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