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
2000-12-31 11:09:31	ga_ls7e_ard_3-1-0_110072_2000-12-31_final
2002-08-12 09:01:05	ga_ls7e_ard_3-1-0_089081_2002-08-11_final
2003-03-28 10:13:20	ga_ls7e_ard_3-1-0_101075_2003-03-28_final
2003-10-05 09:26:23	ga_ls7e_ard_3-1-0_094067_2003-10-04_final
2004-02-24 11:25:21	ga_ls7e_ard_3-1-0_112084_2004-02-24_final
2004-03-10 09:02:08	ga_ls7e_ard_3-1-0_089081_2004-03-09_final
2004-06-20 10:03:44	ga_ls7e_ard_3-1-0_099081_2004-06-20_final
2004-06-23 10:30:15	ga_ls7e_ard_3-1-0_104070_2004-06-23_final
2004-09-15 10:09:31	ga_ls7e_ard_3-1-0_100081_2004-09-15_final
2004-10-24 10:13:26	ga_ls7e_ard_3-1-0_101075_2004-10-24_final
2005-07-26 09:10:06	ga_ls7e_ard_3-1-0_090085_2005-07-25_final
2005-10-10 09:27:16	ga_ls7e_ard_3-1-0_094067_2005-10-09_final
2006-05-06 11:09:10	ga_ls7e_ard_3-1-0_110072_2006-05-06_final
2006-08-07 09:05:48	ga_ls7e_ard_3-1-0_089089_2006-08-06_final
2006-11-26 09:58:11	ga_ls7e_ard_3-1-0_098080_2006-11-26_final
2007-07-25 09:03:04	ga_ls7e_ard_3-1-0_089081_2007-07-24_final
2007-10-28 09:58:04	ga_ls7e_ard_3-1-0_098080_2007-10-28_final
2008-02-21 09:28:29	ga_ls7e_ard_3-1-0_094067_2008-02-20_final
2008-04-02 09:29:47	ga_ls7e_ard_3-1-0_093086_2008-04-01_final
2008-07-14 09:27:38	ga_ls7e_ard_3-1-0_094067_2008-07-13_final
2008-12-09 09:10:07	ga_ls7e_ard_3-1-0_090085_2008-12-08_final
2009-02-23 09:28:13	ga_ls7e_ard_3-1-0_094067_2009-02-22_final
2009-06-15 09:28:39	ga_ls7e_ard_3-1-0_094067_2009-06-14_final
2009-12-01 09:30:02	ga_ls7e_ard_3-1-0_093085_2009-12-01_final
2010-07-02 11:28:27	ga_ls7e_ard_3-1-0_112084_2010-07-02_final
2011-01-05 11:09:44	ga_ls7e_ard_3-1-0_109081_2011-01-05_final
2011-03-17 09:38:10	ga_ls7e_ard_3-1-0_094083_2011-03-17_final
2011-03-30 09:09:42	ga_ls7e_ard_3-1-0_089089_2011-03-29_final
2011-04-18 11:12:42	ga_ls7e_ard_3-1-0_110072_2011-04-18_final
2011-12-11 09:06:41	ga_ls7e_ard_3-1-0_089081_2011-12-10_final
2012-05-06 09:32:48	ga_ls7e_ard_3-1-0_094067_2012-05-06_final
2012-10-13 09:33:55	ga_ls7e_ard_3-1-0_094067_2012-10-13_final
2013-07-12 11:14:30	ga_ls7e_ard_3-1-0_110072_2013-07-12_final
2013-11-18 10:20:51	ga_ls7e_ard_3-1-0_101075_2013-11-18_final
2014-04-23 09:13:17	ga_ls7e_ard_3-1-0_089089_2014-04-22_final
2014-11-20 11:17:21	ga_ls7e_ard_3-1-0_110072_2014-11-20_final
2014-12-28 10:39:44	ga_ls7e_ard_3-1-0_104070_2014-12-28_final
2015-05-31 11:18:37	ga_ls7e_ard_3-1-0_110072_2015-05-31_final
2015-09-04 09:38:05	ga_ls7e_ard_3-1-0_094067_2015-09-04_final
2015-11-05 11:36:46	ga_ls7e_ard_3-1-0_112084_2015-11-05_final
2016-01-07 09:14:25	ga_ls7e_ard_3-1-0_089081_2016-01-06_final
2016-12-27 11:22:39	ga_ls7e_ard_3-1-0_110075_2016-12-27_final
2017-06-05 11:21:41	ga_ls7e_ard_3-1-0_110072_2017-06-05_final
2017-07-23 11:21:46	ga_ls7e_ard_3-1-0_110072_2017-07-23_final
2017-10-01 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-10-01_final
2018-11-19 09:15:55	ga_ls7e_ard_3-1-0_090082_2018-11-18_final
2019-02-16 09:07:07	ga_ls7e_ard_3-1-0_089082_2019-02-15_final
2019-03-02 10:57:08	ga_ls7e_ard_3-1-0_107080_2019-03-02_final
2019-03-12 11:33:53	ga_ls7e_ard_3-1-0_113080_2019-03-12_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-05-11 10:15:35	ga_ls7e_ard_3-1-0_101075_2019-05-11_final
2019-07-22 11:04:43	ga_ls7e_ard_3-1-0_109081_2019-07-22_final
2019-09-02 10:01:58	ga_ls7e_ard_3-1-0_099083_2019-09-02_final
2019-09-08 11:02:19	ga_ls7e_ard_3-1-0_109080_2019-09-08_final
2019-09-18 10:01:16	ga_ls7e_ard_3-1-0_099083_2019-09-18_final
2019-09-24 11:02:24	ga_ls7e_ard_3-1-0_109082_2019-09-24_final
2019-10-12 10:46:54	ga_ls7e_ard_3-1-0_107076_2019-10-12_final
2019-10-20 09:55:31	ga_ls7e_ard_3-1-0_099072_2019-10-20_final
2019-10-29 09:53:21	ga_ls7e_ard_3-1-0_098083_2019-10-29_final
2019-11-02 11:04:32	ga_ls7e_ard_3-1-0_110076_2019-11-02_final
2019-11-02 11:06:08	ga_ls7e_ard_3-1-0_110080_2019-11-02_final
2019-11-06 09:01:09	ga_ls7e_ard_3-1-0_090077_2019-11-05_final
2019-11-08 10:25:59	ga_ls7e_ard_3-1-0_104073_2019-11-08_final
2019-11-13 10:45:53	ga_ls7e_ard_3-1-0_107077_2019-11-13_final
2019-11-23 11:21:42	ga_ls7e_ard_3-1-0_113075_2019-11-23_final
2019-11-29 10:44:20	ga_ls7e_ard_3-1-0_107075_2019-11-29_final
2019-11-29 10:45:56	ga_ls7e_ard_3-1-0_107079_2019-11-29_final
2019-11-30 11:27:09	ga_ls7e_ard_3-1-0_114074_2019-11-30_final
2019-12-08 09:02:49	ga_ls7e_ard_3-1-0_090085_2019-12-07_final
2019-12-10 10:26:27	ga_ls7e_ard_3-1-0_104078_2019-12-10_final
2019-12-14 10:03:55	ga_ls7e_ard_3-1-0_100084_2019-12-14_final
2019-12-17 08:54:59	ga_ls7e_ard_3-1-0_089082_2019-12-16_final
2019-12-23 09:51:42	ga_ls7e_ard_3-1-0_099070_2019-12-23_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2019-12-31 10:43:07	ga_ls7e_ard_3-1-0_107076_2019-12-31_final
2020-01-01 09:47:50	ga_ls7e_ard_3-1-0_098077_2020-01-01_final
2020-01-05 11:01:47	ga_ls7e_ard_3-1-0_110077_2020-01-05_final
2020-01-10 11:19:40	ga_ls7e_ard_3-1-0_113076_2020-01-10_final
2020-01-14 09:15:05	ga_ls7e_ard_3-1-0_093074_2020-01-13_final
2020-01-20 10:16:11	ga_ls7e_ard_3-1-0_103073_2020-01-20_final
2020-01-21 11:00:12	ga_ls7e_ard_3-1-0_110075_2020-01-21_final
2020-02-11 09:37:12	ga_ls7e_ard_3-1-0_097071_2020-02-11_final
2020-02-17 10:42:17	ga_ls7e_ard_3-1-0_107080_2020-02-17_final
2020-02-17 10:42:41	ga_ls7e_ard_3-1-0_107081_2020-02-17_final
2020-02-23 10:03:41	ga_ls7e_ard_3-1-0_101077_2020-02-23_final
2020-02-28 10:23:57	ga_ls7e_ard_3-1-0_104082_2020-02-28_final
2020-03-02 09:16:13	ga_ls7e_ard_3-1-0_093083_2020-03-01_final
2020-03-08 10:13:42	ga_ls7e_ard_3-1-0_103073_2020-03-08_final
2020-04-05 10:37:39	ga_ls7e_ard_3-1-0_107075_2020-04-05_final
2020-04-14 08:56:28	ga_ls7e_ard_3-1-0_090086_2020-04-13_final
2020-04-14 08:58:04	ga_ls7e_ard_3-1-0_090090_2020-04-13_final
2020-04-19 10:47:37	ga_ls7e_ard_3-1-0_109071_2020-04-19_final
2020-04-21 10:36:20	ga_ls7e_ard_3-1-0_107074_2020-04-21_final
2020-04-21 10:38:43	ga_ls7e_ard_3-1-0_107080_2020-04-21_final
2020-04-23 08:48:34	ga_ls7e_ard_3-1-0_089083_2020-04-22_final
2022-03-13 08:37:46	ga_ls7e_ard_3-2-1_096084_2022-03-12_final
2022-03-18 08:54:12	ga_ls7e_ard_3-2-1_099080_2022-03-17_final
2022-03-19 08:02:05	ga_ls7e_ard_3-2-1_090089_2022-03-18_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_2022-04-04_final
2022-04-04 09:36:39	ga_ls7e_ard_3-2-1_106082_2022-04-04_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