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
1999-07-26 09:14:44	ga_ls7e_ard_3-1-0_090088_1999-07-25_final
2000-10-05 11:06:56	ga_ls7e_ard_3-1-0_109081_2000-10-05_final
2001-01-13 09:03:23	ga_ls7e_ard_3-1-0_089081_2001-01-12_final
2003-01-03 09:01:15	ga_ls7e_ard_3-1-0_089081_2003-01-02_final
2003-01-19 09:01:23	ga_ls7e_ard_3-1-0_089081_2003-01-18_final
2003-11-10 09:09:11	ga_ls7e_ard_3-1-0_090085_2003-11-09_final
2003-12-28 09:09:35	ga_ls7e_ard_3-1-0_090085_2003-12-27_final
2004-04-14 09:30:12	ga_ls7e_ard_3-1-0_094074_2004-04-14_final
2004-12-19 09:29:16	ga_ls7e_ard_3-1-0_093087_2004-12-18_final
2005-01-09 11:25:39	ga_ls7e_ard_3-1-0_112084_2005-01-09_final
2005-02-12 09:30:12	ga_ls7e_ard_3-1-0_094073_2005-02-12_final
2005-04-01 11:08:46	ga_ls7e_ard_3-1-0_110072_2005-04-01_final
2005-05-19 11:08:43	ga_ls7e_ard_3-1-0_110072_2005-05-19_final
2005-05-28 09:29:36	ga_ls7e_ard_3-1-0_093087_2005-05-27_final
2005-09-17 09:29:06	ga_ls7e_ard_3-1-0_093087_2005-09-16_final
2005-11-11 09:30:04	ga_ls7e_ard_3-1-0_094073_2005-11-11_final
2005-12-17 09:10:19	ga_ls7e_ard_3-1-0_090085_2005-12-16_final
2006-01-07 09:30:14	ga_ls7e_ard_3-1-0_093088_2006-01-07_final
2006-01-07 11:06:20	ga_ls7e_ard_3-1-0_109081_2006-01-07_final
2006-03-07 09:10:47	ga_ls7e_ard_3-1-0_090085_2006-03-06_final
2006-12-13 09:03:04	ga_ls7e_ard_3-1-0_089081_2006-12-12_final
2007-03-03 09:06:36	ga_ls7e_ard_3-1-0_089089_2007-03-02_final
2007-06-30 09:10:56	ga_ls7e_ard_3-1-0_090085_2007-06-29_final
2007-11-21 09:10:51	ga_ls7e_ard_3-1-0_090085_2007-11-20_final
2008-03-01 09:25:02	ga_ls7e_ard_3-1-0_093074_2008-02-29_final
2008-03-01 09:29:26	ga_ls7e_ard_3-1-0_093085_2008-02-29_final
2008-04-25 09:28:19	ga_ls7e_ard_3-1-0_094067_2008-04-24_final
2008-10-31 09:01:51	ga_ls7e_ard_3-1-0_089081_2008-10-30_final
2008-12-24 10:05:29	ga_ls7e_ard_3-1-0_099084_2008-12-24_final
2009-06-15 11:09:32	ga_ls7e_ard_3-1-0_110072_2009-06-15_final
2009-12-14 10:32:12	ga_ls7e_ard_3-1-0_104070_2009-12-14_final
2010-05-31 11:28:23	ga_ls7e_ard_3-1-0_112084_2010-05-31_final
2010-08-09 09:12:54	ga_ls7e_ard_3-1-0_090085_2010-08-08_final
2013-03-10 09:16:50	ga_ls7e_ard_3-1-0_090085_2013-03-09_final
2013-10-16 11:15:07	ga_ls7e_ard_3-1-0_110072_2013-10-16_final
2013-12-03 09:34:33	ga_ls7e_ard_3-1-0_094067_2013-12-03_final
2014-03-09 09:35:02	ga_ls7e_ard_3-1-0_094067_2014-03-09_final
2014-04-23 09:13:17	ga_ls7e_ard_3-1-0_089089_2014-04-22_final
2014-05-28 09:35:36	ga_ls7e_ard_3-1-0_094067_2014-05-28_final
2014-08-13 09:13:46	ga_ls7e_ard_3-1-0_089089_2014-08-12_final
2015-02-28 09:18:21	ga_ls7e_ard_3-1-0_090082_2015-02-27_final
2015-03-10 11:35:08	ga_ls7e_ard_3-1-0_112084_2015-03-10_final
2015-08-19 09:38:05	ga_ls7e_ard_3-1-0_094067_2015-08-19_final
2016-01-14 09:21:06	ga_ls7e_ard_3-1-0_090082_2016-01-13_final
2016-01-19 11:18:12	ga_ls7e_ard_3-1-0_109081_2016-01-19_final
2016-11-23 11:38:47	ga_ls7e_ard_3-1-0_112084_2016-11-23_final
2018-02-04 09:22:20	ga_ls7e_ard_3-1-0_090085_2018-02-03_final
2019-01-15 09:09:42	ga_ls7e_ard_3-1-0_089086_2019-01-14_final
2019-01-27 09:30:02	ga_ls7e_ard_3-1-0_093076_2019-01-27_final
2019-02-03 11:13:18	ga_ls7e_ard_3-1-0_110072_2019-02-03_final
2019-02-23 09:14:17	ga_ls7e_ard_3-1-0_090085_2019-02-22_final
2019-03-05 11:28:20	ga_ls7e_ard_3-1-0_112081_2019-03-05_final
2019-03-07 11:13:55	ga_ls7e_ard_3-1-0_110076_2019-03-07_final
2019-03-16 09:27:46	ga_ls7e_ard_3-1-0_093074_2019-03-15_final
2019-03-17 10:10:11	ga_ls7e_ard_3-1-0_100072_2019-03-17_final
2019-03-18 10:54:13	ga_ls7e_ard_3-1-0_107074_2019-03-18_final
2019-03-23 11:09:48	ga_ls7e_ard_3-1-0_110067_2019-03-23_final
2019-08-23 11:00:36	ga_ls7e_ard_3-1-0_109074_2019-08-23_final
2019-09-10 10:47:28	ga_ls7e_ard_3-1-0_107074_2019-09-10_final
2019-09-15 09:26:54	ga_ls7e_ard_3-1-0_094074_2019-09-14_final
2019-09-26 10:45:10	ga_ls7e_ard_3-1-0_107070_2019-09-26_final
2019-10-04 09:54:36	ga_ls7e_ard_3-1-0_099068_2019-10-04_final
2019-10-05 09:07:43	ga_ls7e_ard_3-1-0_090090_2019-10-04_final
2019-10-12 10:46:06	ga_ls7e_ard_3-1-0_107074_2019-10-12_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-27 10:03:48	ga_ls7e_ard_3-1-0_100078_2019-10-27_final
2019-11-02 09:28:03	ga_ls7e_ard_3-1-0_094082_2019-11-01_final
2019-11-02 11:03:20	ga_ls7e_ard_3-1-0_110073_2019-11-02_final
2019-11-11 10:57:57	ga_ls7e_ard_3-1-0_109076_2019-11-11_final
2019-11-11 10:58:44	ga_ls7e_ard_3-1-0_109078_2019-11-11_final
2019-11-17 10:19:23	ga_ls7e_ard_3-1-0_103073_2019-11-17_final
2019-11-28 10:04:43	ga_ls7e_ard_3-1-0_100084_2019-11-28_final
2019-11-29 10:44:44	ga_ls7e_ard_3-1-0_107076_2019-11-29_final
2019-12-03 10:21:25	ga_ls7e_ard_3-1-0_103080_2019-12-03_final
2019-12-04 09:26:32	ga_ls7e_ard_3-1-0_094082_2019-12-03_final
2019-12-10 10:25:39	ga_ls7e_ard_3-1-0_104076_2019-12-10_final
2019-12-13 10:56:24	ga_ls7e_ard_3-1-0_109076_2019-12-13_final
2019-12-18 11:17:29	ga_ls7e_ard_3-1-0_112083_2019-12-18_final
2019-12-24 09:00:01	ga_ls7e_ard_3-1-0_090080_2019-12-23_final
2020-01-03 11:17:03	ga_ls7e_ard_3-1-0_112084_2020-01-03_final
2020-01-11 10:24:00	ga_ls7e_ard_3-1-0_104076_2020-01-11_final
2020-01-14 09:19:28	ga_ls7e_ard_3-1-0_093085_2020-01-13_final
2020-01-24 09:55:16	ga_ls7e_ard_3-1-0_099083_2020-01-24_final
2020-01-30 09:18:41	ga_ls7e_ard_3-1-0_093085_2020-01-29_final
2020-02-01 10:44:18	ga_ls7e_ard_3-1-0_107083_2020-02-01_final
2020-02-09 09:54:27	ga_ls7e_ard_3-1-0_099083_2020-02-09_final
2020-02-15 09:14:40	ga_ls7e_ard_3-1-0_093077_2020-02-14_final
2020-02-15 10:52:45	ga_ls7e_ard_3-1-0_109075_2020-02-15_final
2020-02-20 11:14:13	ga_ls7e_ard_3-1-0_112083_2020-02-20_final
2020-03-02 10:51:54	ga_ls7e_ard_3-1-0_109075_2020-03-02_final
2020-03-09 10:55:43	ga_ls7e_ard_3-1-0_110070_2020-03-09_final
2020-03-18 10:54:13	ga_ls7e_ard_3-1-0_109083_2020-03-18_final
2020-04-05 10:41:15	ga_ls7e_ard_3-1-0_107084_2020-04-05_final
2020-04-14 08:52:53	ga_ls7e_ard_3-1-0_090077_2020-04-13_final
2020-04-29 09:44:49	ga_ls7e_ard_3-1-0_099070_2020-04-29_final
2022-03-13 10:16:39	ga_ls7e_ard_3-2-1_112084_2022-03-13_final
2022-03-25 08:56:32	ga_ls7e_ard_3-2-1_100072_2022-03-24_final
2022-03-26 09:38:55	ga_ls7e_ard_3-2-1_107070_2022-03-26_final
2022-04-04 08:00:58	ga_ls7e_ard_3-2-1_090090_2022-04-03_final
2022-04-04 09:36:15	ga_ls7e_ard_3-2-1_106081_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