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
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2001-03-18 09:03:09	ga_ls7e_ard_3-1-0_089081_2001-03-17_final
2004-08-20 09:30:13	ga_ls7e_ard_3-1-0_094075_2004-08-20_final
2004-11-14 10:30:10	ga_ls7e_ard_3-1-0_104070_2004-11-14_final
2005-04-10 09:29:38	ga_ls7e_ard_3-1-0_093087_2005-04-09_final
2005-06-02 11:21:49	ga_ls7e_ard_3-1-0_112074_2005-06-02_final
2007-01-31 11:23:48	ga_ls7e_ard_3-1-0_112077_2007-01-31_final
2007-03-06 09:35:07	ga_ls7e_ard_3-1-0_094083_2007-03-06_final
2007-06-30 09:10:56	ga_ls7e_ard_3-1-0_090085_2007-06-29_final
2007-11-15 11:26:22	ga_ls7e_ard_3-1-0_112084_2007-11-15_final
2008-06-12 09:34:23	ga_ls7e_ard_3-1-0_094083_2008-06-12_final
2008-07-02 09:11:27	ga_ls7e_ard_3-1-0_090088_2008-07-01_final
2009-02-11 09:10:33	ga_ls7e_ard_3-1-0_090085_2009-02-10_final
2009-03-17 10:34:59	ga_ls7e_ard_3-1-0_104079_2009-03-17_final
2009-06-24 09:28:50	ga_ls7e_ard_3-1-0_093083_2009-06-23_final
2009-08-11 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-10_final
2009-10-11 10:31:17	ga_ls7e_ard_3-1-0_104070_2009-10-11_final
2009-12-30 10:32:29	ga_ls7e_ard_3-1-0_104070_2009-12-30_final
2010-05-21 09:12:48	ga_ls7e_ard_3-1-0_090085_2010-05-20_final
2010-07-08 09:12:54	ga_ls7e_ard_3-1-0_090085_2010-07-07_final
2010-08-14 09:29:51	ga_ls7e_ard_3-1-0_093081_2010-08-13_final
2010-12-24 09:09:12	ga_ls7e_ard_3-1-0_089089_2010-12-23_final
2010-12-27 09:37:44	ga_ls7e_ard_3-1-0_094083_2010-12-27_final
2011-04-11 09:33:39	ga_ls7e_ard_3-1-0_093087_2011-04-11_final
2011-05-14 10:14:28	ga_ls7e_ard_3-1-0_100081_2011-05-14_final
2012-05-22 09:39:15	ga_ls7e_ard_3-1-0_094083_2012-05-22_final
2012-10-23 10:16:42	ga_ls7e_ard_3-1-0_100081_2012-10-23_final
2013-03-20 11:32:21	ga_ls7e_ard_3-1-0_112084_2013-03-20_final
2013-05-03 10:16:48	ga_ls7e_ard_3-1-0_100081_2013-05-03_final
2013-06-10 09:40:17	ga_ls7e_ard_3-1-0_094083_2013-06-10_final
2013-08-01 09:15:56	ga_ls7e_ard_3-1-0_090085_2013-07-31_final
2014-09-11 10:18:31	ga_ls7e_ard_3-1-0_100081_2014-09-11_final
2014-11-09 11:39:05	ga_ls7e_ard_3-1-0_113080_2014-11-09_final
2015-05-31 09:44:07	ga_ls7e_ard_3-1-0_094083_2015-05-31_final
2015-06-20 09:20:18	ga_ls7e_ard_3-1-0_090085_2015-06-19_final
2016-04-28 09:15:16	ga_ls7e_ard_3-1-0_089081_2016-04-27_final
2016-05-17 09:47:01	ga_ls7e_ard_3-1-0_094083_2016-05-17_final
2016-07-02 11:38:49	ga_ls7e_ard_3-1-0_112084_2016-07-02_final
2016-09-10 09:22:12	ga_ls7e_ard_3-1-0_090082_2016-09-09_final
2016-12-20 09:42:26	ga_ls7e_ard_3-1-0_093087_2016-12-20_final
2017-05-04 09:47:04	ga_ls7e_ard_3-1-0_094083_2017-05-04_final
2017-05-20 09:47:07	ga_ls7e_ard_3-1-0_094083_2017-05-20_final
2017-06-05 09:47:11	ga_ls7e_ard_3-1-0_094083_2017-06-05_final
2018-04-05 09:45:31	ga_ls7e_ard_3-1-0_094083_2018-04-05_final
2018-05-17 10:21:05	ga_ls7e_ard_3-1-0_100081_2018-05-17_final
2019-02-18 10:29:11	ga_ls7e_ard_3-1-0_103071_2019-02-18_final
2019-03-05 11:27:56	ga_ls7e_ard_3-1-0_112080_2019-03-05_final
2019-03-06 10:31:05	ga_ls7e_ard_3-1-0_103077_2019-03-06_final
2019-03-11 09:14:10	ga_ls7e_ard_3-1-0_090086_2019-03-10_final
2019-03-17 10:11:47	ga_ls7e_ard_3-1-0_100076_2019-03-17_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-03-21 11:26:37	ga_ls7e_ard_3-1-0_112078_2019-03-21_final
2019-03-27 09:12:27	ga_ls7e_ard_3-1-0_090083_2019-03-26_final
2019-04-02 10:13:14	ga_ls7e_ard_3-1-0_100081_2019-04-02_final
2019-06-11 09:34:23	ga_ls7e_ard_3-1-0_094083_2019-06-11_final
2019-06-25 11:22:43	ga_ls7e_ard_3-1-0_112077_2019-06-25_final
2019-06-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2019-06-25_final
2019-08-30 09:29:12	ga_ls7e_ard_3-1-0_094078_2019-08-29_final
2019-09-04 11:26:01	ga_ls7e_ard_3-1-0_113077_2019-09-04_final
2019-09-13 11:21:26	ga_ls7e_ard_3-1-0_112082_2019-09-13_final
2019-09-30 10:22:40	ga_ls7e_ard_3-1-0_103076_2019-09-30_final
2019-10-17 09:26:21	ga_ls7e_ard_3-1-0_094076_2019-10-16_final
2019-11-07 11:23:39	ga_ls7e_ard_3-1-0_113078_2019-11-07_final
2019-11-08 10:27:11	ga_ls7e_ard_3-1-0_104076_2019-11-08_final
2019-11-11 10:58:21	ga_ls7e_ard_3-1-0_109077_2019-11-11_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-17 10:19:23	ga_ls7e_ard_3-1-0_103073_2019-11-17_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-21 09:54:29	ga_ls7e_ard_3-1-0_099073_2019-11-21_final
2019-11-23 11:23:42	ga_ls7e_ard_3-1-0_113080_2019-11-23_final
2019-11-23 11:24:54	ga_ls7e_ard_3-1-0_113083_2019-11-23_final
2019-11-24 10:28:26	ga_ls7e_ard_3-1-0_104081_2019-11-24_final
2019-12-03 10:20:37	ga_ls7e_ard_3-1-0_103078_2019-12-03_final
2019-12-07 09:53:42	ga_ls7e_ard_3-1-0_099073_2019-12-07_final
2019-12-13 09:19:31	ga_ls7e_ard_3-1-0_093081_2019-12-12_final
2019-12-14 10:02:19	ga_ls7e_ard_3-1-0_100080_2019-12-14_final
2019-12-14 10:03:55	ga_ls7e_ard_3-1-0_100084_2019-12-14_final
2019-12-20 09:24:56	ga_ls7e_ard_3-1-0_094080_2019-12-19_final
2019-12-20 09:25:20	ga_ls7e_ard_3-1-0_094081_2019-12-19_final
2019-12-26 10:22:26	ga_ls7e_ard_3-1-0_104070_2019-12-26_final
2019-12-30 09:59:06	ga_ls7e_ard_3-1-0_100074_2019-12-30_final
2020-01-10 11:20:28	ga_ls7e_ard_3-1-0_113078_2020-01-10_final
2020-01-15 09:58:18	ga_ls7e_ard_3-1-0_100074_2020-01-15_final
2020-01-15 09:58:41	ga_ls7e_ard_3-1-0_100075_2020-01-15_final
2020-01-25 09:00:23	ga_ls7e_ard_3-1-0_090085_2020-01-24_final
2020-02-05 10:16:59	ga_ls7e_ard_3-1-0_103077_2020-02-05_final
2020-02-06 09:23:42	ga_ls7e_ard_3-1-0_094083_2020-02-05_final
2020-02-09 09:50:28	ga_ls7e_ard_3-1-0_099073_2020-02-09_final
2020-02-12 10:22:24	ga_ls7e_ard_3-1-0_104076_2020-02-12_final
2020-03-04 10:41:50	ga_ls7e_ard_3-1-0_107081_2020-03-04_final
2020-03-08 10:15:42	ga_ls7e_ard_3-1-0_103078_2020-03-08_final
2020-03-09 09:21:37	ga_ls7e_ard_3-1-0_094082_2020-03-08_final
2020-03-19 09:56:57	ga_ls7e_ard_3-1-0_100079_2020-03-19_final
2020-03-28 09:49:52	ga_ls7e_ard_3-1-0_099078_2020-03-28_final
2020-04-14 08:53:17	ga_ls7e_ard_3-1-0_090078_2020-04-13_final
2020-04-16 10:21:17	ga_ls7e_ard_3-1-0_104082_2020-04-16_final
2020-04-19 09:10:44	ga_ls7e_ard_3-1-0_093076_2020-04-18_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-31 09:57:46	ga_ls7e_ard_3-2-1_110072_2022-03-31_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