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
1999-07-06 11:11:52	ga_ls7e_ard_3-1-0_110072_1999-07-06_final
1999-11-20 09:32:52	ga_ls7e_ard_3-1-0_093087_1999-11-20_final
2000-03-11 09:31:00	ga_ls7e_ard_3-1-0_093083_2000-03-11_final
2000-04-03 11:11:35	ga_ls7e_ard_3-1-0_110072_2000-04-03_final
2000-07-24 11:10:22	ga_ls7e_ard_3-1-0_110072_2000-07-24_final
2002-01-28 09:27:15	ga_ls7e_ard_3-1-0_093083_2002-01-27_final
2004-06-10 11:05:35	ga_ls7e_ard_3-1-0_109081_2004-06-10_final
2004-07-16 09:01:53	ga_ls7e_ard_3-1-0_089081_2004-07-15_final
2004-11-30 10:30:20	ga_ls7e_ard_3-1-0_104070_2004-11-30_final
2004-12-20 10:10:09	ga_ls7e_ard_3-1-0_100081_2004-12-20_final
2005-02-21 11:06:10	ga_ls7e_ard_3-1-0_109081_2005-02-21_final
2005-05-28 11:06:06	ga_ls7e_ard_3-1-0_109081_2005-05-28_final
2005-07-10 09:07:19	ga_ls7e_ard_3-1-0_090078_2005-07-09_final
2005-08-07 09:33:59	ga_ls7e_ard_3-1-0_094083_2005-08-07_final
2006-02-24 09:28:31	ga_ls7e_ard_3-1-0_093083_2006-02-23_final
2006-04-08 09:10:44	ga_ls7e_ard_3-1-0_090085_2006-04-07_final
2006-04-17 09:02:55	ga_ls7e_ard_3-1-0_089081_2006-04-16_final
2006-07-09 11:08:57	ga_ls7e_ard_3-1-0_110072_2006-07-09_final
2006-12-25 11:06:43	ga_ls7e_ard_3-1-0_109081_2006-12-25_final
2007-01-22 11:31:06	ga_ls7e_ard_3-1-0_113080_2007-01-22_final
2007-01-31 11:23:48	ga_ls7e_ard_3-1-0_112077_2007-01-31_final
2007-05-18 09:28:47	ga_ls7e_ard_3-1-0_093083_2007-05-17_final
2007-08-10 09:02:59	ga_ls7e_ard_3-1-0_089081_2007-08-09_final
2008-03-01 09:27:26	ga_ls7e_ard_3-1-0_093080_2008-02-29_final
2009-01-31 09:29:48	ga_ls7e_ard_3-1-0_093087_2009-01-30_final
2009-10-02 09:03:02	ga_ls7e_ard_3-1-0_089081_2009-10-01_final
2009-11-28 10:31:59	ga_ls7e_ard_3-1-0_104070_2009-11-28_final
2010-06-06 09:12:50	ga_ls7e_ard_3-1-0_090085_2010-06-05_final
2011-07-12 11:34:22	ga_ls7e_ard_3-1-0_113080_2011-07-12_final
2011-12-07 09:33:48	ga_ls7e_ard_3-1-0_093087_2011-12-07_final
2012-01-24 09:34:01	ga_ls7e_ard_3-1-0_093087_2012-01-24_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2012-04-20 11:13:15	ga_ls7e_ard_3-1-0_110072_2012-04-20_final
2013-10-29 09:08:59	ga_ls7e_ard_3-1-0_089081_2013-10-28_final
2014-03-25 11:16:01	ga_ls7e_ard_3-1-0_110072_2014-03-25_final
2014-05-18 10:38:34	ga_ls7e_ard_3-1-0_104070_2014-05-18_final
2015-08-03 09:44:24	ga_ls7e_ard_3-1-0_094083_2015-08-03_final
2015-10-10 09:20:47	ga_ls7e_ard_3-1-0_090085_2015-10-09_final
2016-01-20 10:22:35	ga_ls7e_ard_3-1-0_100081_2016-01-20_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2016-05-31 11:38:45	ga_ls7e_ard_3-1-0_112084_2016-05-31_final
2017-09-13 09:23:17	ga_ls7e_ard_3-1-0_090085_2017-09-12_final
2017-10-15 09:22:07	ga_ls7e_ard_3-1-0_090082_2017-10-14_final
2018-03-29 09:41:03	ga_ls7e_ard_3-1-0_093087_2018-03-29_final
2018-09-09 09:10:58	ga_ls7e_ard_3-1-0_089081_2018-09-08_final
2019-02-23 09:11:29	ga_ls7e_ard_3-1-0_090078_2019-02-22_final
2019-02-28 09:31:04	ga_ls7e_ard_3-1-0_093081_2019-02-28_final
2019-03-10 10:08:14	ga_ls7e_ard_3-1-0_099082_2019-03-10_final
2019-03-22 10:27:22	ga_ls7e_ard_3-1-0_103069_2019-03-22_final
2019-05-14 09:11:29	ga_ls7e_ard_3-1-0_090085_2019-05-13_final
2019-08-24 10:05:44	ga_ls7e_ard_3-1-0_100076_2019-08-24_final
2019-09-18 09:57:16	ga_ls7e_ard_3-1-0_099073_2019-09-18_final
2019-09-20 09:46:49	ga_ls7e_ard_3-1-0_097078_2019-09-20_final
2019-09-20 09:48:01	ga_ls7e_ard_3-1-0_097081_2019-09-20_final
2019-10-04 10:00:11	ga_ls7e_ard_3-1-0_099082_2019-10-04_final
2019-10-05 09:03:20	ga_ls7e_ard_3-1-0_090079_2019-10-04_final
2019-10-05 09:03:44	ga_ls7e_ard_3-1-0_090080_2019-10-04_final
2019-10-11 10:02:05	ga_ls7e_ard_3-1-0_100072_2019-10-11_final
2019-10-17 11:05:14	ga_ls7e_ard_3-1-0_110076_2019-10-17_final
2019-10-22 09:42:41	ga_ls7e_ard_3-1-0_097071_2019-10-22_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-10-27 10:05:23	ga_ls7e_ard_3-1-0_100082_2019-10-27_final
2019-11-06 09:04:21	ga_ls7e_ard_3-1-0_090085_2019-11-05_final
2019-11-07 11:22:27	ga_ls7e_ard_3-1-0_113075_2019-11-07_final
2019-11-17 10:20:59	ga_ls7e_ard_3-1-0_103077_2019-11-17_final
2019-11-23 09:45:37	ga_ls7e_ard_3-1-0_097082_2019-11-23_final
2019-11-23 11:24:54	ga_ls7e_ard_3-1-0_113083_2019-11-23_final
2019-11-27 10:55:36	ga_ls7e_ard_3-1-0_109072_2019-11-27_final
2019-11-28 10:01:07	ga_ls7e_ard_3-1-0_100075_2019-11-28_final
2019-12-02 11:17:53	ga_ls7e_ard_3-1-0_112082_2019-12-02_final
2019-12-15 10:42:44	ga_ls7e_ard_3-1-0_107073_2019-12-15_final
2019-12-17 08:55:23	ga_ls7e_ard_3-1-0_089083_2019-12-16_final
2019-12-18 11:14:17	ga_ls7e_ard_3-1-0_112075_2019-12-18_final
2019-12-18 11:17:05	ga_ls7e_ard_3-1-0_112082_2019-12-18_final
2019-12-19 10:17:49	ga_ls7e_ard_3-1-0_103073_2019-12-19_final
2019-12-20 09:25:20	ga_ls7e_ard_3-1-0_094081_2019-12-19_final
2020-01-04 10:16:11	ga_ls7e_ard_3-1-0_103071_2020-01-04_final
2020-01-14 09:19:52	ga_ls7e_ard_3-1-0_093086_2020-01-13_final
2020-01-16 10:43:30	ga_ls7e_ard_3-1-0_107079_2020-01-16_final
2020-01-30 10:54:46	ga_ls7e_ard_3-1-0_109078_2020-01-30_final
2020-01-31 09:59:30	ga_ls7e_ard_3-1-0_100079_2020-01-31_final
2020-02-11 09:38:24	ga_ls7e_ard_3-1-0_097074_2020-02-11_final
2020-02-26 08:56:45	ga_ls7e_ard_3-1-0_090080_2020-02-25_final
2020-02-26 08:58:20	ga_ls7e_ard_3-1-0_090084_2020-02-25_final
2020-03-14 11:15:58	ga_ls7e_ard_3-1-0_113075_2020-03-14_final
2020-03-20 10:38:57	ga_ls7e_ard_3-1-0_107076_2020-03-20_final
2020-03-25 10:59:13	ga_ls7e_ard_3-1-0_110081_2020-03-25_final
2020-03-30 11:16:17	ga_ls7e_ard_3-1-0_113078_2020-03-30_final
2020-04-05 10:37:39	ga_ls7e_ard_3-1-0_107075_2020-04-05_final
2020-04-14 08:55:40	ga_ls7e_ard_3-1-0_090084_2020-04-13_final
2020-04-16 10:18:05	ga_ls7e_ard_3-1-0_104074_2020-04-16_final
2020-04-19 09:12:19	ga_ls7e_ard_3-1-0_093080_2020-04-18_final
2020-04-19 10:47:13	ga_ls7e_ard_3-1-0_109070_2020-04-19_final
2020-04-26 09:18:29	ga_ls7e_ard_3-1-0_094081_2020-04-25_final
2020-04-26 09:20:29	ga_ls7e_ard_3-1-0_094086_2020-04-25_final
2022-03-17 08:11:51	ga_ls7e_ard_3-2-1_092082_2022-03-16_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-24 08:14:34	ga_ls7e_ard_3-2-1_093075_2022-03-23_final
2022-03-26 09:40:54	ga_ls7e_ard_3-2-1_107075_2022-03-26_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_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