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
1999-09-17 11:09:21	ga_ls7e_ard_3-1-0_109081_1999-09-17_final
1999-09-28 09:13:41	ga_ls7e_ard_3-1-0_090085_1999-09-27_final
1999-10-26 11:11:59	ga_ls7e_ard_3-1-0_110072_1999-10-26_final
1999-12-01 09:13:28	ga_ls7e_ard_3-1-0_090085_1999-11-30_final
2000-04-23 09:13:00	ga_ls7e_ard_3-1-0_090085_2000-04-22_final
2000-08-30 09:51:16	ga_ls7e_ard_3-1-0_097076_2000-08-30_final
2000-10-02 10:31:40	ga_ls7e_ard_3-1-0_104070_2000-10-02_final
2001-04-15 11:06:38	ga_ls7e_ard_3-1-0_109081_2001-04-15_final
2001-05-31 11:19:02	ga_ls7e_ard_3-1-0_111082_2001-05-31_final
2001-10-15 11:07:20	ga_ls7e_ard_3-1-0_110072_2001-10-15_final
2002-01-28 09:28:51	ga_ls7e_ard_3-1-0_093087_2002-01-27_final
2002-01-28 11:05:20	ga_ls7e_ard_3-1-0_109081_2002-01-28_final
2002-04-02 11:05:16	ga_ls7e_ard_3-1-0_109081_2002-04-02_final
2002-08-12 09:01:05	ga_ls7e_ard_3-1-0_089081_2002-08-11_final
2002-11-26 11:17:28	ga_ls7e_ard_3-1-0_111082_2002-11-26_final
2002-12-30 11:04:52	ga_ls7e_ard_3-1-0_109081_2002-12-30_final
2003-01-13 11:17:41	ga_ls7e_ard_3-1-0_111082_2003-01-13_final
2003-05-05 11:18:02	ga_ls7e_ard_3-1-0_111082_2003-05-05_final
2003-05-08 10:09:39	ga_ls7e_ard_3-1-0_100081_2003-05-08_final
2003-05-21 11:17:57	ga_ls7e_ard_3-1-0_111082_2003-05-21_final
2003-12-28 09:09:35	ga_ls7e_ard_3-1-0_090085_2003-12-27_final
2004-01-06 09:05:02	ga_ls7e_ard_3-1-0_089089_2004-01-05_final
2004-06-17 09:30:02	ga_ls7e_ard_3-1-0_094074_2004-06-17_final
2004-11-14 10:30:10	ga_ls7e_ard_3-1-0_104070_2004-11-14_final
2005-02-05 09:29:32	ga_ls7e_ard_3-1-0_093087_2005-02-04_final
2006-03-03 11:09:12	ga_ls7e_ard_3-1-0_110072_2006-03-03_final
2006-06-20 09:02:53	ga_ls7e_ard_3-1-0_089081_2006-06-19_final
2006-11-26 09:58:11	ga_ls7e_ard_3-1-0_098080_2006-11-26_final
2007-03-25 10:01:40	ga_ls7e_ard_3-1-0_099072_2007-03-25_final
2007-05-18 09:28:47	ga_ls7e_ard_3-1-0_093083_2007-05-17_final
2008-01-04 11:09:28	ga_ls7e_ard_3-1-0_110072_2008-01-04_final
2009-02-23 11:09:05	ga_ls7e_ard_3-1-0_110072_2009-02-23_final
2009-08-31 09:06:17	ga_ls7e_ard_3-1-0_089089_2009-08-30_final
2009-11-20 11:22:56	ga_ls7e_ard_3-1-0_112074_2009-11-20_final
2010-01-29 09:12:24	ga_ls7e_ard_3-1-0_090085_2010-01-28_final
2011-04-22 10:49:11	ga_ls7e_ard_3-1-0_106075_2011-04-22_final
2011-11-12 11:12:39	ga_ls7e_ard_3-1-0_110072_2011-11-12_final
2012-02-07 11:23:22	ga_ls7e_ard_3-1-0_111082_2012-02-07_final
2012-10-22 09:35:50	ga_ls7e_ard_3-1-0_093087_2012-10-22_final
2012-12-25 09:36:11	ga_ls7e_ard_3-1-0_093087_2012-12-25_final
2013-02-07 09:56:34	ga_ls7e_ard_3-1-0_097076_2013-02-07_final
2014-06-06 09:37:26	ga_ls7e_ard_3-1-0_093087_2014-06-06_final
2014-06-10 09:10:19	ga_ls7e_ard_3-1-0_089081_2014-06-09_final
2015-10-03 09:16:03	ga_ls7e_ard_3-1-0_089089_2015-10-02_final
2016-01-14 09:22:18	ga_ls7e_ard_3-1-0_090085_2016-01-13_final
2017-10-12 10:27:18	ga_ls7e_ard_3-1-0_101075_2017-10-12_final
2018-06-05 09:12:48	ga_ls7e_ard_3-1-0_089081_2018-06-04_final
2019-02-18 10:28:00	ga_ls7e_ard_3-1-0_103068_2019-02-18_final
2019-02-22 10:02:45	ga_ls7e_ard_3-1-0_099067_2019-02-22_final
2019-02-25 10:36:21	ga_ls7e_ard_3-1-0_104074_2019-02-25_final
2019-03-03 11:40:22	ga_ls7e_ard_3-1-0_114080_2019-03-03_final
2019-03-06 10:32:41	ga_ls7e_ard_3-1-0_103081_2019-03-06_final
2019-03-12 09:55:24	ga_ls7e_ard_3-1-0_097081_2019-03-12_final
2019-03-16 09:30:33	ga_ls7e_ard_3-1-0_093081_2019-03-16_final
2019-03-24 10:20:32	ga_ls7e_ard_3-1-0_101083_2019-03-24_final
2019-04-25 10:16:12	ga_ls7e_ard_3-1-0_101075_2019-04-25_final
2019-09-05 10:26:45	ga_ls7e_ard_3-1-0_104068_2019-09-05_final
2019-09-19 10:39:41	ga_ls7e_ard_3-1-0_106071_2019-09-19_final
2019-09-22 11:08:52	ga_ls7e_ard_3-1-0_111067_2019-09-22_final
2019-09-26 10:49:57	ga_ls7e_ard_3-1-0_107082_2019-09-26_final
2019-10-05 09:02:32	ga_ls7e_ard_3-1-0_090077_2019-10-04_final
2019-10-21 10:42:44	ga_ls7e_ard_3-1-0_106082_2019-10-21_final
2019-10-31 11:19:23	ga_ls7e_ard_3-1-0_112082_2019-10-31_final
2019-11-01 10:18:31	ga_ls7e_ard_3-1-0_103069_2019-11-01_final
2019-11-08 10:29:10	ga_ls7e_ard_3-1-0_104081_2019-11-08_final
2019-11-09 11:12:23	ga_ls7e_ard_3-1-0_111081_2019-11-09_final
2019-11-19 10:10:55	ga_ls7e_ard_3-1-0_101083_2019-11-19_final
2019-11-22 09:03:12	ga_ls7e_ard_3-1-0_090084_2019-11-21_final
2019-11-25 11:08:51	ga_ls7e_ard_3-1-0_111074_2019-11-25_final
2019-11-28 10:01:07	ga_ls7e_ard_3-1-0_100075_2019-11-28_final
2019-11-28 10:01:55	ga_ls7e_ard_3-1-0_100077_2019-11-28_final
2019-12-17 08:53:00	ga_ls7e_ard_3-1-0_089077_2019-12-16_final
2020-01-09 08:58:23	ga_ls7e_ard_3-1-0_090078_2020-01-08_final
2020-01-17 11:25:07	ga_ls7e_ard_3-1-0_114075_2020-01-17_final
2020-01-21 11:02:36	ga_ls7e_ard_3-1-0_110081_2020-01-21_final
2020-02-06 10:59:48	ga_ls7e_ard_3-1-0_110076_2020-02-06_final
2020-02-10 08:56:23	ga_ls7e_ard_3-1-0_090077_2020-02-09_final
2020-02-10 10:36:04	ga_ls7e_ard_3-1-0_106079_2020-02-10_final
2020-02-15 10:55:56	ga_ls7e_ard_3-1-0_109083_2020-02-15_final
2020-02-18 09:46:36	ga_ls7e_ard_3-1-0_098080_2020-02-18_final
2020-03-02 09:16:13	ga_ls7e_ard_3-1-0_093083_2020-03-01_final
2020-03-12 09:48:22	ga_ls7e_ard_3-1-0_099072_2020-03-12_final
2020-03-13 08:57:53	ga_ls7e_ard_3-1-0_090085_2020-03-12_final
2020-03-16 11:05:54	ga_ls7e_ard_3-1-0_111081_2020-03-16_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-03-28 09:47:05	ga_ls7e_ard_3-1-0_099071_2020-03-28_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-04-03 10:48:32	ga_ls7e_ard_3-1-0_109071_2020-04-03_final
2020-04-05 10:37:39	ga_ls7e_ard_3-1-0_107075_2020-04-05_final
2020-04-06 11:20:28	ga_ls7e_ard_3-1-0_114074_2020-04-06_final
2020-04-10 09:20:13	ga_ls7e_ard_3-1-0_094083_2020-04-09_final
2022-03-15 09:59:18	ga_ls7e_ard_3-2-1_110072_2022-03-15_final
2022-03-15 10:00:54	ga_ls7e_ard_3-2-1_110076_2022-03-15_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-22 08:29:55	ga_ls7e_ard_3-2-1_095082_2022-03-21_final
2022-03-25 09:00:32	ga_ls7e_ard_3-2-1_100082_2022-03-24_final
2022-03-29 10:14:19	ga_ls7e_ard_3-2-1_112082_2022-03-29_final
2022-03-30 09:14:36	ga_ls7e_ard_3-2-1_103072_2022-03-29_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_final
2022-04-02 08:08:44	ga_ls7e_ard_3-2-1_092078_2022-04-01_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