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
2000-03-25 09:43:23	ga_ls7e_ard_3-0-0_095083_2000-03-25_final
2001-01-23 09:41:19	ga_ls7e_ard_3-0-0_095083_2001-01-23_final
2002-04-16 09:37:58	ga_ls7e_ard_3-1-0_095079_2002-04-16_final
2003-03-18 09:39:54	ga_ls7e_ard_3-0-0_095084_2003-03-18_final
2003-04-19 09:40:44	ga_ls7e_ard_3-0-0_095086_2003-04-19_final
2004-04-05 09:38:03	ga_ls7e_ard_3-0-0_095078_2004-04-05_final
2005-01-02 09:38:09	ga_ls7e_ard_3-0-0_095078_2005-01-02_final
2007-09-05 09:39:05	ga_ls7e_ard_3-1-0_095079_2007-09-05_final
2007-12-10 09:38:41	ga_ls7e_ard_3-0-0_095077_2007-12-10_final
2008-08-22 09:40:18	ga_ls7e_ard_3-0-0_095084_2008-08-22_final
2008-12-12 09:37:04	ga_ls7e_ard_3-0-0_095075_2008-12-12_final
2009-08-09 09:40:59	ga_ls7e_ard_3-0-0_095083_2009-08-09_final
2012-01-22 09:43:12	ga_ls7e_ard_3-1-0_095079_2012-01-22_final
2012-08-01 09:45:44	ga_ls7e_ard_3-0-0_095083_2012-08-01_final
2012-10-20 09:45:23	ga_ls7e_ard_3-0-0_095080_2012-10-20_final
2012-11-21 09:45:59	ga_ls7e_ard_3-0-0_095081_2012-11-21_final
2013-11-08 09:44:57	ga_ls7e_ard_3-0-0_095078_2013-11-08_final
2013-11-08 09:45:45	ga_ls7e_ard_3-0-0_095080_2013-11-08_final
2014-04-01 09:44:35	ga_ls7e_ard_3-0-0_095075_2014-04-01_final
2015-01-30 09:49:51	ga_ls7e_ard_3-0-0_095084_2015-01-30_final
2015-04-04 09:50:18	ga_ls7e_ard_3-0-0_095084_2015-04-04_final
2016-04-06 09:51:46	ga_ls7e_ard_3-0-0_095080_2016-04-06_final
2016-04-22 09:53:54	ga_ls7e_ard_3-0-0_095085_2016-04-22_final
2016-08-12 09:50:37	ga_ls7e_ard_3-0-0_095076_2016-08-12_final
2016-08-12 09:52:13	ga_ls7e_ard_3-0-0_095080_2016-08-12_final
2016-11-16 09:50:56	ga_ls7e_ard_3-0-0_095077_2016-11-16_final
2017-05-27 09:53:43	ga_ls7e_ard_3-0-0_095084_2017-05-27_final
2017-06-12 09:52:12	ga_ls7e_ard_3-0-0_095080_2017-06-12_final
2018-02-07 09:49:35	ga_ls7e_ard_3-0-0_095076_2018-02-07_final
2019-01-09 09:46:11	ga_ls7e_ard_3-0-0_095084_2019-01-09_final
2019-01-25 09:44:28	ga_ls7e_ard_3-0-0_095081_2019-01-25_final
2019-03-30 09:40:51	ga_ls7e_ard_3-0-0_095077_2019-03-30_final
2019-08-05 09:35:38	ga_ls7e_ard_3-0-0_095076_2019-08-05_final
2020-02-29 09:26:41	ga_ls7e_ard_3-1-0_095078_2020-02-28_final
2020-08-23 09:17:49	ga_ls7e_ard_3-1-0_095082_2020-08-22_final
2021-02-14 10:00:32	ga_ls7e_ard_3-2-0_104080_2021-02-14_final
2021-02-15 10:43:19	ga_ls7e_ard_3-2-0_111079_2021-02-15_final
2021-02-26 10:21:09	ga_ls7e_ard_3-2-0_108072_2021-02-26_final
2021-03-07 10:16:15	ga_ls7e_ard_3-2-0_107077_2021-03-07_final
2021-03-15 09:27:47	ga_ls7e_ard_3-2-0_099081_2021-03-14_final
2021-03-17 10:54:09	ga_ls7e_ard_3-2-0_113081_2021-03-17_final
2021-03-26 09:07:34	ga_ls7e_ard_3-2-0_096079_2021-03-25_final
2021-03-28 08:55:50	ga_ls7e_ard_3-2-0_094081_2021-03-27_final
2021-04-04 10:40:43	ga_ls7e_ard_3-2-0_111082_2021-04-04_final
2021-04-08 08:38:47	ga_ls7e_ard_3-2-0_091087_2021-04-07_final
2021-04-28 09:47:16	ga_ls7e_ard_3-2-0_103077_2021-04-28_final
2021-05-04 09:07:18	ga_ls7e_ard_3-2-0_097071_2021-05-03_final
2021-05-08 08:47:50	ga_ls7e_ard_3-2-0_093085_2021-05-07_final
2021-05-11 09:16:53	ga_ls7e_ard_3-2-0_098081_2021-05-10_final
2021-05-12 09:55:40	ga_ls7e_ard_3-2-0_105070_2021-05-12_final
2021-05-14 09:43:08	ga_ls7e_ard_3-2-0_103070_2021-05-14_final
2021-05-24 08:42:29	ga_ls7e_ard_3-2-0_093075_2021-05-23_final
2021-05-27 10:48:49	ga_ls7e_ard_3-2-0_114067_2021-05-27_final
2021-06-11 08:32:13	ga_ls7e_ard_3-2-0_091084_2021-06-10_final
2021-06-16 08:47:33	ga_ls7e_ard_3-2-0_094077_2021-06-15_final
2021-06-19 09:19:48	ga_ls7e_ard_3-2-0_099081_2021-06-18_final
2021-06-21 10:45:21	ga_ls7e_ard_3-2-0_113079_2021-06-21_final
2021-06-25 10:16:43	ga_ls7e_ard_3-2-0_109070_2021-06-25_final
2021-07-02 08:47:01	ga_ls7e_ard_3-2-0_094079_2021-07-01_final
2021-07-28 09:20:16	ga_ls7e_ard_3-2-0_100075_2021-07-27_final
2021-07-30 09:09:20	ga_ls7e_ard_3-2-0_098079_2021-07-29_final
2021-08-15 09:09:07	ga_ls7e_ard_3-2-0_098082_2021-08-14_final
2021-08-17 08:55:22	ga_ls7e_ard_3-2-0_096079_2021-08-16_final
2021-08-23 08:19:47	ga_ls7e_ard_3-2-0_090084_2021-08-22_final
2021-08-28 08:37:29	ga_ls7e_ard_3-2-0_093083_2021-08-27_final
2021-08-28 10:15:34	ga_ls7e_ard_3-2-0_109081_2021-08-28_final
2021-09-13 10:12:58	ga_ls7e_ard_3-2-0_109078_2021-09-13_final
2021-09-22 08:26:43	ga_ls7e_ard_3-2-0_092077_2021-09-21_final
2021-09-24 09:53:03	ga_ls7e_ard_3-2-0_106077_2021-09-24_final
2021-09-29 10:11:08	ga_ls7e_ard_3-2-0_109077_2021-09-29_final
2021-09-30 09:17:25	ga_ls7e_ard_3-2-0_100082_2021-09-29_final
2021-10-06 08:40:13	ga_ls7e_ard_3-2-0_094083_2021-10-05_final
2021-10-06 10:16:18	ga_ls7e_ard_3-2-0_110076_2021-10-06_final
2021-10-12 09:36:42	ga_ls7e_ard_3-2-0_104071_2021-10-12_final
2021-10-19 08:08:34	ga_ls7e_ard_3-2-0_089084_2021-10-18_final
2021-10-19 09:41:52	ga_ls7e_ard_3-2-0_105070_2021-10-19_final
2021-10-20 08:50:56	ga_ls7e_ard_3-2-0_096082_2021-10-19_final
2021-10-28 09:35:15	ga_ls7e_ard_3-2-0_104071_2021-10-28_final
2021-11-02 09:58:31	ga_ls7e_ard_3-2-0_107084_2021-11-02_final
2021-11-04 09:43:34	ga_ls7e_ard_3-2-0_105078_2021-11-04_final
2021-11-10 09:04:19	ga_ls7e_ard_3-2-0_099074_2021-11-09_final
2021-11-20 09:38:50	ga_ls7e_ard_3-2-1_105070_2021-11-20_final
2021-12-07 08:42:24	ga_ls7e_ard_3-2-1_096072_2021-12-06_final
2021-12-07 10:23:41	ga_ls7e_ard_3-2-1_112078_2021-12-07_final
2021-12-08 09:27:10	ga_ls7e_ard_3-2-1_103076_2021-12-07_final
2021-12-16 08:36:34	ga_ls7e_ard_3-2-1_095075_2021-12-15_final
2021-12-25 08:30:42	ga_ls7e_ard_3-2-1_094078_2021-12-24_final
2021-12-25 08:32:18	ga_ls7e_ard_3-2-1_094082_2021-12-24_final
2022-01-01 10:14:15	ga_ls7e_ard_3-2-1_111076_2022-01-01_final
2022-01-09 09:22:02	ga_ls7e_ard_3-2-1_103071_2022-01-08_final
2022-01-15 10:26:04	ga_ls7e_ard_3-2-1_113078_2022-01-15_final
2022-01-16 09:27:34	ga_ls7e_ard_3-2-1_104071_2022-01-15_final
2022-02-16 08:45:11	ga_ls7e_ard_3-2-1_097081_2022-02-15_final
2022-02-18 08:32:38	ga_ls7e_ard_3-2-1_095081_2022-02-17_final
2022-02-21 09:02:27	ga_ls7e_ard_3-2-1_100079_2022-02-20_final
2022-02-27 10:03:41	ga_ls7e_ard_3-2-1_110079_2022-02-27_final
2022-03-04 08:42:04	ga_ls7e_ard_3-2-1_097077_2022-03-03_final
2022-03-08 08:16:09	ga_ls7e_ard_3-2-1_093075_2022-03-07_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-26 09:41:42	ga_ls7e_ard_3-2-1_107077_2022-03-26_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