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
1999-12-26 09:05:45	ga_ls7e_ard_3-1-0_089081_1999-12-25_final
2000-01-07 09:32:52	ga_ls7e_ard_3-1-0_093087_2000-01-07_final
2000-09-10 11:09:48	ga_ls7e_ard_3-1-0_110072_2000-09-10_final
2002-01-03 11:07:44	ga_ls7e_ard_3-1-0_110072_2002-01-03_final
2002-09-15 10:27:40	ga_ls7e_ard_3-1-0_103082_2002-09-15_final
2003-03-15 09:09:25	ga_ls7e_ard_3-1-0_090085_2003-03-14_final
2003-11-26 09:07:22	ga_ls7e_ard_3-1-0_090080_2003-11-25_final
2004-04-07 09:29:16	ga_ls7e_ard_3-1-0_093087_2004-04-06_final
2004-09-05 09:26:56	ga_ls7e_ard_3-1-0_094067_2004-09-04_final
2004-12-10 11:08:17	ga_ls7e_ard_3-1-0_110072_2004-12-10_final
2005-01-28 10:14:06	ga_ls7e_ard_3-1-0_101075_2005-01-28_final
2005-04-01 11:08:46	ga_ls7e_ard_3-1-0_110072_2005-04-01_final
2005-04-10 09:30:02	ga_ls7e_ard_3-1-0_093088_2005-04-10_final
2005-05-12 09:29:39	ga_ls7e_ard_3-1-0_093087_2005-05-11_final
2005-10-27 10:13:58	ga_ls7e_ard_3-1-0_101075_2005-10-27_final
2005-11-11 09:30:04	ga_ls7e_ard_3-1-0_094073_2005-11-11_final
2005-11-17 10:30:44	ga_ls7e_ard_3-1-0_104070_2005-11-17_final
2006-04-10 10:31:16	ga_ls7e_ard_3-1-0_104070_2006-04-10_final
2006-07-10 10:17:42	ga_ls7e_ard_3-1-0_101083_2006-07-10_final
2007-01-31 11:26:11	ga_ls7e_ard_3-1-0_112083_2007-01-31_final
2007-06-10 11:09:22	ga_ls7e_ard_3-1-0_110072_2007-06-10_final
2007-07-05 09:28:40	ga_ls7e_ard_3-1-0_093083_2007-07-04_final
2007-07-12 11:09:19	ga_ls7e_ard_3-1-0_110072_2007-07-12_final
2008-01-29 09:30:22	ga_ls7e_ard_3-1-0_093087_2008-01-29_final
2008-03-22 11:26:24	ga_ls7e_ard_3-1-0_112084_2008-03-22_final
2008-07-30 09:27:29	ga_ls7e_ard_3-1-0_094067_2008-07-29_final
2008-08-31 09:30:04	ga_ls7e_ard_3-1-0_094074_2008-08-31_final
2008-09-25 09:28:50	ga_ls7e_ard_3-1-0_093087_2008-09-24_final
2009-10-09 09:10:43	ga_ls7e_ard_3-1-0_090085_2009-10-08_final
2010-02-15 09:52:16	ga_ls7e_ard_3-1-0_097076_2010-02-15_final
2010-05-01 11:11:18	ga_ls7e_ard_3-1-0_110072_2010-05-01_final
2010-05-10 09:29:47	ga_ls7e_ard_3-1-0_093081_2010-05-09_final
2010-07-20 11:11:20	ga_ls7e_ard_3-1-0_110072_2010-07-20_final
2011-11-28 11:12:49	ga_ls7e_ard_3-1-0_110072_2011-11-28_final
2011-12-07 11:10:17	ga_ls7e_ard_3-1-0_109081_2011-12-07_final
2012-02-13 09:10:14	ga_ls7e_ard_3-1-0_089089_2012-02-12_final
2013-01-26 09:36:14	ga_ls7e_ard_3-1-0_093087_2013-01-26_final
2013-04-23 09:34:08	ga_ls7e_ard_3-1-0_094067_2013-04-23_final
2013-07-28 11:14:23	ga_ls7e_ard_3-1-0_110072_2013-07-28_final
2014-01-26 10:38:01	ga_ls7e_ard_3-1-0_104070_2014-01-26_final
2014-05-16 09:18:01	ga_ls7e_ard_3-1-0_090085_2014-05-15_final
2014-11-20 11:17:21	ga_ls7e_ard_3-1-0_110072_2014-11-20_final
2015-03-12 11:18:01	ga_ls7e_ard_3-1-0_110072_2015-03-12_final
2015-03-28 11:18:10	ga_ls7e_ard_3-1-0_110072_2015-03-28_final
2015-07-31 09:15:53	ga_ls7e_ard_3-1-0_089089_2015-07-30_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2017-07-21 11:34:55	ga_ls7e_ard_3-1-0_112074_2017-07-21_final
2017-09-09 11:21:42	ga_ls7e_ard_3-1-0_110072_2017-09-09_final
2018-09-18 10:39:05	ga_ls7e_ard_3-1-0_104070_2018-09-18_final
2019-02-28 11:05:34	ga_ls7e_ard_3-1-0_109070_2019-02-28_final
2019-03-04 09:06:13	ga_ls7e_ard_3-1-0_089081_2019-03-03_final
2019-03-12 11:28:42	ga_ls7e_ard_3-1-0_113067_2019-03-12_final
2019-03-12 11:35:05	ga_ls7e_ard_3-1-0_113083_2019-03-12_final
2019-05-26 11:09:26	ga_ls7e_ard_3-1-0_110072_2019-05-26_final
2019-08-25 10:46:34	ga_ls7e_ard_3-1-0_107070_2019-08-25_final
2019-08-26 09:56:29	ga_ls7e_ard_3-1-0_098084_2019-08-26_final
2019-08-30 11:05:41	ga_ls7e_ard_3-1-0_110072_2019-08-30_final
2019-09-15 11:09:47	ga_ls7e_ard_3-1-0_110084_2019-09-15_final
2019-09-18 09:56:52	ga_ls7e_ard_3-1-0_099072_2019-09-18_final
2019-09-26 10:50:21	ga_ls7e_ard_3-1-0_107083_2019-09-26_final
2019-10-05 09:02:32	ga_ls7e_ard_3-1-0_090077_2019-10-04_final
2019-10-06 09:46:57	ga_ls7e_ard_3-1-0_097080_2019-10-06_final
2019-10-10 09:24:03	ga_ls7e_ard_3-1-0_093085_2019-10-09_final
2019-10-17 11:04:02	ga_ls7e_ard_3-1-0_110073_2019-10-17_final
2019-10-18 10:09:10	ga_ls7e_ard_3-1-0_101075_2019-10-18_final
2019-10-20 09:55:08	ga_ls7e_ard_3-1-0_099071_2019-10-20_final
2019-10-22 09:45:52	ga_ls7e_ard_3-1-0_097079_2019-10-22_final
2019-10-29 09:51:45	ga_ls7e_ard_3-1-0_098079_2019-10-29_final
2019-10-29 09:53:21	ga_ls7e_ard_3-1-0_098083_2019-10-29_final
2019-10-30 08:58:53	ga_ls7e_ard_3-1-0_089086_2019-10-29_final
2019-11-11 10:57:57	ga_ls7e_ard_3-1-0_109076_2019-11-11_final
2019-11-13 10:48:17	ga_ls7e_ard_3-1-0_107083_2019-11-13_final
2019-11-19 10:06:32	ga_ls7e_ard_3-1-0_101072_2019-11-19_final
2019-11-21 09:58:04	ga_ls7e_ard_3-1-0_099082_2019-11-21_final
2019-12-01 08:54:12	ga_ls7e_ard_3-1-0_089078_2019-11-30_final
2019-12-17 08:56:11	ga_ls7e_ard_3-1-0_089085_2019-12-16_final
2019-12-21 10:04:57	ga_ls7e_ard_3-1-0_101072_2019-12-21_final
2019-12-31 10:43:07	ga_ls7e_ard_3-1-0_107076_2019-12-31_final
2020-01-10 09:42:23	ga_ls7e_ard_3-1-0_097080_2020-01-10_final
2020-01-10 11:19:40	ga_ls7e_ard_3-1-0_113076_2020-01-10_final
2020-01-26 09:37:37	ga_ls7e_ard_3-1-0_097070_2020-01-26_final
2020-01-26 11:18:53	ga_ls7e_ard_3-1-0_113076_2020-01-26_final
2020-02-18 11:23:06	ga_ls7e_ard_3-1-0_114074_2020-02-18_final
2020-02-22 10:58:58	ga_ls7e_ard_3-1-0_110076_2020-02-22_final
2020-03-09 09:20:49	ga_ls7e_ard_3-1-0_094080_2020-03-08_final
2020-03-09 10:56:54	ga_ls7e_ard_3-1-0_110073_2020-03-09_final
2020-03-12 09:52:21	ga_ls7e_ard_3-1-0_099082_2020-03-12_final
2020-04-04 09:53:16	ga_ls7e_ard_3-1-0_100072_2020-04-04_final
2020-04-07 08:50:18	ga_ls7e_ard_3-1-0_089085_2020-04-06_final
2020-04-15 09:37:17	ga_ls7e_ard_3-1-0_097080_2020-04-15_final
2020-04-19 10:47:37	ga_ls7e_ard_3-1-0_109071_2020-04-19_final
2020-04-20 09:51:56	ga_ls7e_ard_3-1-0_100071_2020-04-20_final
2020-04-22 11:16:44	ga_ls7e_ard_3-1-0_114067_2020-04-22_final
2020-04-23 08:46:58	ga_ls7e_ard_3-1-0_089079_2020-04-22_final
2020-04-24 11:07:03	ga_ls7e_ard_3-1-0_112074_2020-04-24_final
2022-03-19 07:57:18	ga_ls7e_ard_3-2-1_090077_2022-03-18_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-29 10:14:43	ga_ls7e_ard_3-2-1_112083_2022-03-29_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_final
2022-04-03 08:47:30	ga_ls7e_ard_3-2-1_099067_2022-04-02_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