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
2000-10-10 11:26:37	ga_ls7e_ard_3-1-0_112084_2000-10-10_final
2000-12-19 09:11:06	ga_ls7e_ard_3-1-0_090085_2000-12-18_final
2001-10-21 10:29:32	ga_ls7e_ard_3-1-0_104070_2001-10-21_final
2002-10-06 09:08:24	ga_ls7e_ard_3-1-0_090085_2002-10-05_final
2003-05-12 11:22:12	ga_ls7e_ard_3-1-0_112077_2003-05-12_final
2004-04-30 09:30:11	ga_ls7e_ard_3-1-0_094074_2004-04-30_final
2004-08-26 10:30:00	ga_ls7e_ard_3-1-0_104070_2004-08-26_final
2004-09-05 09:33:19	ga_ls7e_ard_3-1-0_094083_2004-09-05_final
2004-10-17 10:09:32	ga_ls7e_ard_3-1-0_100081_2004-10-17_final
2004-12-16 10:34:01	ga_ls7e_ard_3-1-0_104079_2004-12-16_final
2005-01-11 09:34:00	ga_ls7e_ard_3-1-0_094083_2005-01-11_final
2005-02-10 11:23:01	ga_ls7e_ard_3-1-0_112077_2005-02-10_final
2005-06-10 10:30:43	ga_ls7e_ard_3-1-0_104070_2005-06-10_final
2006-05-28 10:31:17	ga_ls7e_ard_3-1-0_104070_2006-05-28_final
2006-10-03 10:30:38	ga_ls7e_ard_3-1-0_104070_2006-10-03_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2007-02-11 09:30:02	ga_ls7e_ard_3-1-0_093086_2007-02-11_final
2007-12-12 09:29:55	ga_ls7e_ard_3-1-0_093086_2007-12-11_final
2008-03-01 09:28:38	ga_ls7e_ard_3-1-0_093083_2008-02-29_final
2008-08-25 10:09:59	ga_ls7e_ard_3-1-0_100081_2008-08-25_final
2009-03-20 09:29:49	ga_ls7e_ard_3-1-0_093086_2009-03-19_final
2009-06-05 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-06-05_final
2009-06-24 09:28:50	ga_ls7e_ard_3-1-0_093083_2009-06-23_final
2010-07-20 09:36:50	ga_ls7e_ard_3-1-0_094083_2010-07-20_final
2010-11-15 10:33:57	ga_ls7e_ard_3-1-0_104070_2010-11-15_final
2011-06-27 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-06-27_final
2012-08-16 10:36:22	ga_ls7e_ard_3-1-0_104070_2012-08-16_final
2013-01-23 10:39:48	ga_ls7e_ard_3-1-0_104076_2013-01-23_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-03-06 09:40:45	ga_ls7e_ard_3-1-0_094083_2013-03-06_final
2013-04-11 09:16:43	ga_ls7e_ard_3-1-0_090085_2013-04-10_final
2014-11-30 10:19:15	ga_ls7e_ard_3-1-0_100081_2014-11-30_final
2015-07-18 09:44:21	ga_ls7e_ard_3-1-0_094083_2015-07-18_final
2016-06-02 09:47:07	ga_ls7e_ard_3-1-0_094083_2016-06-02_final
2016-08-25 09:23:21	ga_ls7e_ard_3-1-0_090085_2016-08-24_final
2016-12-01 10:43:44	ga_ls7e_ard_3-1-0_104070_2016-12-01_final
2017-03-31 11:38:30	ga_ls7e_ard_3-1-0_112084_2017-03-31_final
2017-06-16 11:02:47	ga_ls7e_ard_3-1-0_107071_2017-06-16_final
2018-08-15 09:19:16	ga_ls7e_ard_3-1-0_090085_2018-08-14_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-02-18 10:29:11	ga_ls7e_ard_3-1-0_103071_2019-02-18_final
2019-02-25 10:36:21	ga_ls7e_ard_3-1-0_104074_2019-02-25_final
2019-03-07 09:39:01	ga_ls7e_ard_3-1-0_094086_2019-03-07_final
2019-03-11 09:11:23	ga_ls7e_ard_3-1-0_090079_2019-03-10_final
2019-03-23 09:36:06	ga_ls7e_ard_3-1-0_094080_2019-03-23_final
2019-03-27 09:12:27	ga_ls7e_ard_3-1-0_090083_2019-03-26_final
2019-03-29 10:34:54	ga_ls7e_ard_3-1-0_104073_2019-03-29_final
2019-03-29 10:37:42	ga_ls7e_ard_3-1-0_104080_2019-03-29_final
2019-06-20 09:27:52	ga_ls7e_ard_3-1-0_093083_2019-06-19_final
2019-06-25 11:22:43	ga_ls7e_ard_3-1-0_112077_2019-06-25_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-08-28 11:21:44	ga_ls7e_ard_3-1-0_112081_2019-08-28_final
2019-08-29 10:21:17	ga_ls7e_ard_3-1-0_103069_2019-08-29_final
2019-08-30 09:30:48	ga_ls7e_ard_3-1-0_094082_2019-08-30_final
2019-10-07 10:26:58	ga_ls7e_ard_3-1-0_104072_2019-10-07_final
2019-10-11 10:06:05	ga_ls7e_ard_3-1-0_100082_2019-10-11_final
2019-10-16 10:19:13	ga_ls7e_ard_3-1-0_103069_2019-10-16_final
2019-10-16 10:23:36	ga_ls7e_ard_3-1-0_103080_2019-10-16_final
2019-10-26 09:20:35	ga_ls7e_ard_3-1-0_093078_2019-10-25_final
2019-10-28 10:47:25	ga_ls7e_ard_3-1-0_107079_2019-10-28_final
2019-11-11 09:19:04	ga_ls7e_ard_3-1-0_093076_2019-11-10_final
2019-11-12 10:01:29	ga_ls7e_ard_3-1-0_100074_2019-11-12_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-12-07 09:57:18	ga_ls7e_ard_3-1-0_099082_2019-12-07_final
2019-12-10 10:27:39	ga_ls7e_ard_3-1-0_104081_2019-12-10_final
2019-12-13 09:20:43	ga_ls7e_ard_3-1-0_093084_2019-12-12_final
2019-12-23 09:52:53	ga_ls7e_ard_3-1-0_099073_2019-12-23_final
2019-12-26 10:22:50	ga_ls7e_ard_3-1-0_104071_2019-12-26_final
2019-12-26 10:26:02	ga_ls7e_ard_3-1-0_104079_2019-12-26_final
2019-12-30 09:59:06	ga_ls7e_ard_3-1-0_100074_2019-12-30_final
2020-01-04 10:17:23	ga_ls7e_ard_3-1-0_103074_2020-01-04_final
2020-01-11 10:22:25	ga_ls7e_ard_3-1-0_104072_2020-01-11_final
2020-01-14 09:17:52	ga_ls7e_ard_3-1-0_093081_2020-01-13_final
2020-01-15 09:58:18	ga_ls7e_ard_3-1-0_100074_2020-01-15_final
2020-01-25 08:58:48	ga_ls7e_ard_3-1-0_090081_2020-01-24_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-01 10:43:54	ga_ls7e_ard_3-1-0_107082_2020-02-01_final
2020-02-05 10:16:35	ga_ls7e_ard_3-1-0_103076_2020-02-05_final
2020-02-05 10:17:23	ga_ls7e_ard_3-1-0_103078_2020-02-05_final
2020-02-21 10:16:09	ga_ls7e_ard_3-1-0_103077_2020-02-21_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-03-12 09:48:46	ga_ls7e_ard_3-1-0_099073_2020-03-12_final
2020-03-25 09:21:32	ga_ls7e_ard_3-1-0_094084_2020-03-24_final
2020-03-25 09:22:20	ga_ls7e_ard_3-1-0_094086_2020-03-24_final
2020-04-16 10:19:41	ga_ls7e_ard_3-1-0_104078_2020-04-16_final
2022-03-13 08:35:47	ga_ls7e_ard_3-2-1_096079_2022-03-12_final
2022-03-13 10:15:27	ga_ls7e_ard_3-2-1_112081_2022-03-13_final
2022-03-21 09:21:14	ga_ls7e_ard_3-2-1_104071_2022-03-20_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-22 08:29:55	ga_ls7e_ard_3-2-1_095082_2022-03-21_final
2022-03-26 09:43:18	ga_ls7e_ard_3-2-1_107081_2022-03-26_final
2022-03-27 08:44:24	ga_ls7e_ard_3-2-1_098073_2022-03-26_final
2022-03-28 09:26:22	ga_ls7e_ard_3-2-1_105070_2022-03-27_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-04-01 09:03:39	ga_ls7e_ard_3-2-1_101076_2022-03-31_final
2022-04-02 08:08:44	ga_ls7e_ard_3-2-1_092078_2022-04-01_final
2022-04-02 08:09:32	ga_ls7e_ard_3-2-1_092080_2022-04-01_final
2022-04-02 09:49:12	ga_ls7e_ard_3-2-1_108082_2022-04-02_final
2022-04-04 09:32:39	ga_ls7e_ard_3-2-1_106072_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