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
1999-10-10 11:12:08	ga_ls7e_ard_3-1-0_110072_1999-10-10_final
2000-01-28 11:29:04	ga_ls7e_ard_3-1-0_112084_2000-01-28_final
2000-06-06 11:10:57	ga_ls7e_ard_3-1-0_110072_2000-06-06_final
2000-09-10 11:09:48	ga_ls7e_ard_3-1-0_110072_2000-09-10_final
2002-05-20 11:05:14	ga_ls7e_ard_3-1-0_109081_2002-05-20_final
2002-08-08 09:28:12	ga_ls7e_ard_3-1-0_093087_2002-08-07_final
2002-10-27 09:27:49	ga_ls7e_ard_3-1-0_093087_2002-10-26_final
2002-11-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-11-25_final
2002-12-11 10:29:28	ga_ls7e_ard_3-1-0_104070_2002-12-11_final
2003-08-24 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-24_final
2003-09-25 10:29:25	ga_ls7e_ard_3-1-0_104070_2003-09-25_final
2003-12-01 11:05:11	ga_ls7e_ard_3-1-0_109081_2003-12-01_final
2004-02-19 09:29:08	ga_ls7e_ard_3-1-0_093087_2004-02-18_final
2004-05-20 09:09:52	ga_ls7e_ard_3-1-0_090085_2004-05-19_final
2004-05-29 09:02:04	ga_ls7e_ard_3-1-0_089081_2004-05-28_final
2004-08-04 11:07:54	ga_ls7e_ard_3-1-0_110072_2004-08-04_final
2004-11-28 09:08:35	ga_ls7e_ard_3-1-0_090082_2004-11-27_final
2004-12-03 11:05:39	ga_ls7e_ard_3-1-0_109081_2004-12-03_final
2005-03-29 09:02:35	ga_ls7e_ard_3-1-0_089081_2005-03-28_final
2005-04-14 09:02:29	ga_ls7e_ard_3-1-0_089081_2005-04-13_final
2005-10-23 09:02:09	ga_ls7e_ard_3-1-0_089081_2005-10-22_final
2006-05-22 11:09:10	ga_ls7e_ard_3-1-0_110072_2006-05-22_final
2006-07-09 09:34:27	ga_ls7e_ard_3-1-0_094083_2006-07-09_final
2006-08-30 09:10:19	ga_ls7e_ard_3-1-0_090085_2006-08-29_final
2006-09-08 09:02:30	ga_ls7e_ard_3-1-0_089081_2006-09-07_final
2006-10-13 09:30:03	ga_ls7e_ard_3-1-0_094073_2006-10-13_final
2006-12-03 10:04:49	ga_ls7e_ard_3-1-0_099081_2006-12-03_final
2007-08-26 09:02:53	ga_ls7e_ard_3-1-0_089081_2007-08-25_final
2008-03-12 09:10:49	ga_ls7e_ard_3-1-0_090085_2008-03-11_final
2008-05-15 09:10:41	ga_ls7e_ard_3-1-0_090085_2008-05-14_final
2008-05-30 10:05:48	ga_ls7e_ard_3-1-0_099084_2008-05-30_final
2008-09-22 10:30:04	ga_ls7e_ard_3-1-0_104070_2008-09-22_final
2009-04-25 09:03:18	ga_ls7e_ard_3-1-0_089081_2009-04-24_final
2009-12-17 09:29:51	ga_ls7e_ard_3-1-0_093084_2009-12-16_final
2010-03-23 09:29:48	ga_ls7e_ard_3-1-0_093081_2010-03-22_final
2010-05-30 09:08:14	ga_ls7e_ard_3-1-0_089089_2010-05-29_final
2011-01-21 11:11:03	ga_ls7e_ard_3-1-0_109084_2011-01-21_final
2011-07-20 09:06:25	ga_ls7e_ard_3-1-0_089081_2011-07-19_final
2011-11-09 09:06:25	ga_ls7e_ard_3-1-0_089081_2011-11-08_final
2012-01-13 11:30:17	ga_ls7e_ard_3-1-0_112084_2012-01-13_final
2013-04-07 11:15:09	ga_ls7e_ard_3-1-0_110072_2013-04-07_final
2013-05-18 11:12:23	ga_ls7e_ard_3-1-0_109081_2013-05-18_final
2013-07-21 09:30:11	ga_ls7e_ard_3-1-0_093074_2013-07-21_final
2013-08-19 10:40:09	ga_ls7e_ard_3-1-0_104079_2013-08-19_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2016-08-31 10:23:35	ga_ls7e_ard_3-1-0_100081_2016-08-31_final
2017-03-07 10:43:21	ga_ls7e_ard_3-1-0_104070_2017-03-07_final
2017-10-15 09:23:19	ga_ls7e_ard_3-1-0_090085_2017-10-14_final
2017-10-31 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-10-30_final
2018-07-07 09:12:11	ga_ls7e_ard_3-1-0_089081_2018-07-06_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-16 09:31:45	ga_ls7e_ard_3-1-0_093084_2019-03-16_final
2019-03-17 10:12:59	ga_ls7e_ard_3-1-0_100079_2019-03-17_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-03-18 10:54:37	ga_ls7e_ard_3-1-0_107075_2019-03-18_final
2019-03-18 10:55:25	ga_ls7e_ard_3-1-0_107077_2019-03-18_final
2019-08-27 08:59:14	ga_ls7e_ard_3-1-0_089080_2019-08-26_final
2019-08-29 10:26:28	ga_ls7e_ard_3-1-0_103082_2019-08-29_final
2019-08-30 09:30:24	ga_ls7e_ard_3-1-0_094081_2019-08-30_final
2019-09-15 09:26:30	ga_ls7e_ard_3-1-0_094073_2019-09-14_final
2019-09-21 10:31:14	ga_ls7e_ard_3-1-0_104081_2019-09-21_final
2019-10-01 09:29:24	ga_ls7e_ard_3-1-0_094082_2019-09-30_final
2019-10-05 09:02:56	ga_ls7e_ard_3-1-0_090078_2019-10-04_final
2019-10-11 10:06:52	ga_ls7e_ard_3-1-0_100084_2019-10-11_final
2019-10-12 10:44:30	ga_ls7e_ard_3-1-0_107070_2019-10-12_final
2019-10-21 09:02:39	ga_ls7e_ard_3-1-0_090079_2019-10-20_final
2019-10-26 09:19:23	ga_ls7e_ard_3-1-0_093075_2019-10-25_final
2019-11-02 09:27:39	ga_ls7e_ard_3-1-0_094081_2019-11-01_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-06 09:03:57	ga_ls7e_ard_3-1-0_090084_2019-11-05_final
2019-11-18 09:28:31	ga_ls7e_ard_3-1-0_094085_2019-11-17_final
2019-11-18 11:06:35	ga_ls7e_ard_3-1-0_110083_2019-11-18_final
2019-11-23 09:44:01	ga_ls7e_ard_3-1-0_097078_2019-11-23_final
2019-11-28 10:00:19	ga_ls7e_ard_3-1-0_100073_2019-11-28_final
2019-11-29 10:43:08	ga_ls7e_ard_3-1-0_107072_2019-11-29_final
2019-11-29 10:46:44	ga_ls7e_ard_3-1-0_107081_2019-11-29_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-10 10:25:39	ga_ls7e_ard_3-1-0_104076_2019-12-10_final
2019-12-19 10:19:49	ga_ls7e_ard_3-1-0_103078_2019-12-19_final
2019-12-19 10:20:37	ga_ls7e_ard_3-1-0_103080_2019-12-19_final
2019-12-24 09:00:01	ga_ls7e_ard_3-1-0_090080_2019-12-23_final
2020-01-05 11:03:23	ga_ls7e_ard_3-1-0_110081_2020-01-05_final
2020-01-10 11:22:04	ga_ls7e_ard_3-1-0_113082_2020-01-10_final
2020-01-20 10:17:47	ga_ls7e_ard_3-1-0_103077_2020-01-20_final
2020-01-20 10:18:59	ga_ls7e_ard_3-1-0_103080_2020-01-20_final
2020-02-05 10:15:47	ga_ls7e_ard_3-1-0_103074_2020-02-05_final
2020-02-10 08:57:35	ga_ls7e_ard_3-1-0_090080_2020-02-09_final
2020-02-22 10:56:58	ga_ls7e_ard_3-1-0_110071_2020-02-22_final
2020-03-04 10:41:50	ga_ls7e_ard_3-1-0_107081_2020-03-04_final
2020-03-15 10:19:54	ga_ls7e_ard_3-1-0_104074_2020-03-15_final
2020-04-08 11:11:59	ga_ls7e_ard_3-1-0_112084_2020-04-08_final
2020-04-19 09:14:19	ga_ls7e_ard_3-1-0_093085_2020-04-18_final
2020-04-19 10:51:12	ga_ls7e_ard_3-1-0_109080_2020-04-19_final
2020-04-21 10:36:20	ga_ls7e_ard_3-1-0_107074_2020-04-21_final
2020-04-26 09:15:42	ga_ls7e_ard_3-1-0_094074_2020-04-25_final
2022-03-18 08:55:24	ga_ls7e_ard_3-2-1_099083_2022-03-17_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-24 08:14:10	ga_ls7e_ard_3-2-1_093074_2022-03-23_final
2022-03-26 09:41:18	ga_ls7e_ard_3-2-1_107076_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