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
1999-08-30 09:43:21	ga_ls7e_ard_3-0-0_095082_1999-08-30_final
2001-01-23 09:37:43	ga_ls7e_ard_3-0-0_095074_2001-01-23_final
2001-10-02 11:39:54	ga_ls7e_ard_3-0-0_115076_2001-10-02_final
2002-01-10 09:38:45	ga_ls7e_ard_3-0-0_095081_2002-01-10_final
2002-02-11 09:38:54	ga_ls7e_ard_3-0-0_095081_2002-02-11_final
2003-02-14 09:40:40	ga_ls7e_ard_3-0-0_095086_2003-02-14_final
2003-03-02 09:38:42	ga_ls7e_ard_3-0-0_095081_2003-03-02_final
2003-10-28 09:38:47	ga_ls7e_ard_3-0-0_095082_2003-10-28_final
2004-02-17 09:39:54	ga_ls7e_ard_3-0-0_095083_2004-02-17_final
2004-09-28 09:38:35	ga_ls7e_ard_3-0-0_095081_2004-09-28_final
2004-12-01 09:33:31	ga_ls7e_ard_3-0-0_095067_2004-12-01_final
2005-01-18 09:41:24	ga_ls7e_ard_3-0-0_095086_2005-01-18_final
2005-09-15 09:39:27	ga_ls7e_ard_3-0-0_095082_2005-09-15_final
2005-09-15 09:39:51	ga_ls7e_ard_3-0-0_095083_2005-09-15_final
2005-10-17 09:39:08	ga_ls7e_ard_3-0-0_095081_2005-10-17_final
2006-03-22 11:41:42	ga_ls7e_ard_3-0-0_115076_2006-03-22_final
2006-08-29 11:42:26	ga_ls7e_ard_3-0-0_115079_2006-08-29_final
2006-12-07 09:40:07	ga_ls7e_ard_3-0-0_095081_2006-12-07_final
2007-02-25 09:41:40	ga_ls7e_ard_3-0-0_095084_2007-02-25_final
2008-12-24 11:41:58	ga_ls7e_ard_3-0-0_115078_2008-12-24_final
2009-04-03 09:37:29	ga_ls7e_ard_3-0-0_095074_2009-04-03_final
2009-07-24 09:37:29	ga_ls7e_ard_3-0-0_095074_2009-07-24_final
2009-08-09 09:41:23	ga_ls7e_ard_3-0-0_095084_2009-08-09_final
2010-06-09 09:43:20	ga_ls7e_ard_3-0-0_095084_2010-06-09_final
2010-08-12 09:39:00	ga_ls7e_ard_3-1-0_095073_2010-08-12_final
2010-10-31 09:40:31	ga_ls7e_ard_3-0-0_095076_2010-10-31_final
2011-04-25 09:44:00	ga_ls7e_ard_3-0-0_095082_2011-04-25_final
2011-06-24 11:45:33	ga_ls7e_ard_3-0-0_115077_2011-06-24_final
2011-09-16 09:44:04	ga_ls7e_ard_3-0-0_095083_2011-09-16_final
2012-05-29 09:45:17	ga_ls7e_ard_3-0-0_095083_2012-05-29_final
2012-07-28 11:47:43	ga_ls7e_ard_3-0-0_115079_2012-07-28_final
2012-09-02 09:42:55	ga_ls7e_ard_3-0-0_095075_2012-09-02_final
2012-11-21 09:43:11	ga_ls7e_ard_3-0-0_095074_2012-11-21_final
2012-12-07 09:46:23	ga_ls7e_ard_3-0-0_095082_2012-12-07_final
2013-03-13 09:43:20	ga_ls7e_ard_3-0-0_095074_2013-03-13_final
2013-10-07 09:43:30	ga_ls7e_ard_3-0-0_095075_2013-10-07_final
2014-08-23 09:48:25	ga_ls7e_ard_3-0-0_095083_2014-08-23_final
2014-10-26 09:48:30	ga_ls7e_ard_3-0-0_095082_2014-10-26_final
2015-08-22 11:51:27	ga_ls7e_ard_3-0-0_115076_2015-08-22_final
2015-08-26 09:48:39	ga_ls7e_ard_3-0-0_095078_2015-08-26_final
2015-10-29 09:51:13	ga_ls7e_ard_3-0-0_095083_2015-10-29_final
2016-10-31 09:47:05	ga_ls7e_ard_3-0-0_095067_2016-10-31_final
2016-12-02 09:49:42	ga_ls7e_ard_3-0-0_095074_2016-12-02_final
2016-12-18 09:54:01	ga_ls7e_ard_3-0-0_095085_2016-12-18_final
2017-02-04 09:49:11	ga_ls7e_ard_3-0-0_095074_2017-02-04_final
2017-02-20 09:52:48	ga_ls7e_ard_3-0-0_095083_2017-02-20_final
2017-08-31 09:53:48	ga_ls7e_ard_3-0-0_095084_2017-08-31_final
2017-11-03 09:53:25	ga_ls7e_ard_3-0-0_095083_2017-11-03_final
2018-02-23 09:51:26	ga_ls7e_ard_3-0-0_095081_2018-02-23_final
2018-08-02 09:50:00	ga_ls7e_ard_3-0-0_095084_2018-08-02_final
2019-02-26 09:40:18	ga_ls7e_ard_3-1-0_095073_2019-02-26_final
2019-06-02 09:40:53	ga_ls7e_ard_3-0-0_095083_2019-06-02_final
2019-07-20 09:38:17	ga_ls7e_ard_3-0-0_095081_2019-07-20_final
2019-07-20 09:39:28	ga_ls7e_ard_3-0-0_095084_2019-07-20_final
2019-09-22 09:35:10	ga_ls7e_ard_3-1-0_095080_2019-09-22_final
2020-03-16 09:24:13	ga_ls7e_ard_3-1-0_095074_2020-03-15_final
2021-02-11 09:28:15	ga_ls7e_ard_3-2-0_099076_2021-02-10_final
2021-02-28 10:09:02	ga_ls7e_ard_3-2-0_106073_2021-02-28_final
2021-03-23 10:14:11	ga_ls7e_ard_3-2-0_107075_2021-03-23_final
2021-05-01 08:41:50	ga_ls7e_ard_3-2-0_092084_2021-04-30_final
2021-05-04 09:07:42	ga_ls7e_ard_3-2-0_097072_2021-05-03_final
2021-05-19 08:25:34	ga_ls7e_ard_3-2-0_090078_2021-05-18_final
2021-05-19 10:00:51	ga_ls7e_ard_3-2-0_106069_2021-05-19_final
2021-05-24 08:46:04	ga_ls7e_ard_3-2-0_093084_2021-05-23_final
2021-05-26 08:30:45	ga_ls7e_ard_3-2-0_091077_2021-05-25_final
2021-06-05 09:04:35	ga_ls7e_ard_3-2-0_097071_2021-06-04_final
2021-06-16 10:24:02	ga_ls7e_ard_3-2-0_110071_2021-06-16_final
2021-06-18 08:36:13	ga_ls7e_ard_3-2-0_092080_2021-06-17_final
2021-06-18 10:15:54	ga_ls7e_ard_3-2-0_108082_2021-06-18_final
2021-06-20 08:25:18	ga_ls7e_ard_3-2-0_090084_2021-06-19_final
2021-06-25 10:17:31	ga_ls7e_ard_3-2-0_109072_2021-06-25_final
2021-06-28 09:11:17	ga_ls7e_ard_3-2-0_098077_2021-06-27_final
2021-07-04 10:13:46	ga_ls7e_ard_3-2-0_108080_2021-07-04_final
2021-07-06 09:57:15	ga_ls7e_ard_3-2-0_106070_2021-07-06_final
2021-07-11 10:18:33	ga_ls7e_ard_3-2-0_109078_2021-07-11_final
2021-07-13 08:31:56	ga_ls7e_ard_3-2-0_091090_2021-07-12_final
2021-07-23 09:00:11	ga_ls7e_ard_3-2-0_097070_2021-07-22_final
2021-08-06 09:15:42	ga_ls7e_ard_3-2-0_099081_2021-08-05_final
2021-08-12 08:35:41	ga_ls7e_ard_3-2-0_093075_2021-08-11_final
2021-08-19 10:19:19	ga_ls7e_ard_3-2-0_110073_2021-08-19_final
2021-09-19 09:34:57	ga_ls7e_ard_3-2-0_103077_2021-09-19_final
2021-09-28 09:29:10	ga_ls7e_ard_3-2-0_102080_2021-09-27_final
2021-10-05 09:30:45	ga_ls7e_ard_3-2-0_103070_2021-10-05_final
2021-10-07 09:22:36	ga_ls7e_ard_3-2-0_101081_2021-10-06_final
2021-10-27 08:56:53	ga_ls7e_ard_3-2-0_097083_2021-10-26_final
2021-10-27 10:32:34	ga_ls7e_ard_3-2-0_113075_2021-10-27_final
2021-11-16 10:09:08	ga_ls7e_ard_3-2-1_109083_2021-11-16_final
2021-11-18 08:18:30	ga_ls7e_ard_3-2-1_091085_2021-11-17_final
2021-11-20 08:03:33	ga_ls7e_ard_3-2-1_089079_2021-11-19_final
2021-12-14 10:30:47	ga_ls7e_ard_3-2-1_113082_2021-12-14_final
2022-01-14 08:04:25	ga_ls7e_ard_3-2-1_090079_2022-01-13_final
2022-01-21 08:13:32	ga_ls7e_ard_3-2-1_091088_2022-01-20_final
2022-01-26 08:29:59	ga_ls7e_ard_3-2-1_094084_2022-01-25_final
2022-02-05 09:06:04	ga_ls7e_ard_3-2-1_100084_2022-02-04_final
2022-02-18 08:33:02	ga_ls7e_ard_3-2-1_095082_2022-02-17_final
2022-02-25 08:39:45	ga_ls7e_ard_3-2-1_096085_2022-02-24_final
2022-03-03 09:35:47	ga_ls7e_ard_3-2-1_106072_2022-03-03_final
2022-03-11 10:26:49	ga_ls7e_ard_3-2-1_114078_2022-03-11_final
2022-03-15 08:24:01	ga_ls7e_ard_3-2-1_094081_2022-03-14_final
2022-03-18 10:32:41	ga_ls7e_ard_3-2-1_115079_2022-03-18_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