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
2003-01-04 11:24:35	ga_ls7e_ard_3-1-0_112084_2003-01-04_final
2003-08-16 11:21:52	ga_ls7e_ard_3-1-0_112077_2003-08-16_final
2004-05-15 10:26:38	ga_ls7e_ard_3-1-0_103076_2004-05-15_final
2004-09-19 11:22:05	ga_ls7e_ard_3-1-0_112077_2004-09-19_final
2005-07-06 09:30:02	ga_ls7e_ard_3-1-0_094073_2005-07-06_final
2006-02-24 09:28:31	ga_ls7e_ard_3-1-0_093083_2006-02-23_final
2006-04-20 09:34:36	ga_ls7e_ard_3-1-0_094083_2006-04-20_final
2006-10-27 11:23:08	ga_ls7e_ard_3-1-0_112077_2006-10-27_final
2007-01-10 09:30:15	ga_ls7e_ard_3-1-0_093087_2007-01-10_final
2007-09-12 11:26:05	ga_ls7e_ard_3-1-0_112084_2007-09-12_final
2007-12-28 09:29:58	ga_ls7e_ard_3-1-0_093086_2007-12-27_final
2008-01-29 09:28:46	ga_ls7e_ard_3-1-0_093083_2008-01-28_final
2008-03-01 09:27:26	ga_ls7e_ard_3-1-0_093080_2008-02-29_final
2008-05-01 10:31:18	ga_ls7e_ard_3-1-0_104070_2008-05-01_final
2008-08-05 10:30:27	ga_ls7e_ard_3-1-0_104070_2008-08-05_final
2008-08-15 09:30:11	ga_ls7e_ard_3-1-0_094074_2008-08-15_final
2008-10-18 09:30:08	ga_ls7e_ard_3-1-0_094075_2008-10-18_final
2009-09-12 09:29:48	ga_ls7e_ard_3-1-0_093086_2009-09-11_final
2010-04-21 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-04-21_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2011-02-01 09:14:05	ga_ls7e_ard_3-1-0_090085_2011-01-31_final
2011-06-30 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-06-30_final
2011-09-15 10:34:30	ga_ls7e_ard_3-1-0_104070_2011-09-15_final
2011-11-05 09:29:52	ga_ls7e_ard_3-1-0_093078_2011-11-04_final
2012-06-29 10:35:46	ga_ls7e_ard_3-1-0_104070_2012-06-29_final
2012-10-01 09:16:18	ga_ls7e_ard_3-1-0_090085_2012-09-30_final
2012-11-04 10:37:04	ga_ls7e_ard_3-1-0_104070_2012-11-04_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2012-12-04 09:16:39	ga_ls7e_ard_3-1-0_090085_2012-12-03_final
2013-12-09 10:37:35	ga_ls7e_ard_3-1-0_104070_2013-12-09_final
2013-12-17 11:32:34	ga_ls7e_ard_3-1-0_112084_2013-12-17_final
2014-09-23 10:38:58	ga_ls7e_ard_3-1-0_104070_2014-09-23_final
2014-10-17 11:31:28	ga_ls7e_ard_3-1-0_112077_2014-10-17_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2016-03-23 09:42:10	ga_ls7e_ard_3-1-0_093087_2016-03-23_final
2016-04-21 10:43:32	ga_ls7e_ard_3-1-0_104070_2016-04-21_final
2017-05-10 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-05-10_final
2017-05-26 10:43:45	ga_ls7e_ard_3-1-0_104070_2017-05-26_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2017-06-27 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-06-27_final
2018-01-05 10:45:20	ga_ls7e_ard_3-1-0_104075_2018-01-05_final
2018-01-05 10:46:56	ga_ls7e_ard_3-1-0_104079_2018-01-05_final
2018-03-10 10:42:30	ga_ls7e_ard_3-1-0_104070_2018-03-10_final
2018-09-02 10:39:26	ga_ls7e_ard_3-1-0_104070_2018-09-02_final
2018-11-13 11:28:49	ga_ls7e_ard_3-1-0_112074_2018-11-13_final
2019-01-21 10:10:55	ga_ls7e_ard_3-1-0_099085_2019-01-21_final
2019-02-17 11:26:02	ga_ls7e_ard_3-1-0_112074_2019-02-17_final
2019-02-17 11:27:14	ga_ls7e_ard_3-1-0_112077_2019-02-17_final
2019-02-23 09:12:41	ga_ls7e_ard_3-1-0_090081_2019-02-22_final
2019-03-02 10:55:56	ga_ls7e_ard_3-1-0_107077_2019-03-02_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-03-10 10:04:38	ga_ls7e_ard_3-1-0_099073_2019-03-10_final
2019-03-17 10:10:59	ga_ls7e_ard_3-1-0_100074_2019-03-17_final
2019-03-17 10:13:23	ga_ls7e_ard_3-1-0_100080_2019-03-17_final
2019-03-17 10:14:59	ga_ls7e_ard_3-1-0_100084_2019-03-17_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-07-11 11:24:53	ga_ls7e_ard_3-1-0_112084_2019-07-11_final
2019-08-18 09:06:35	ga_ls7e_ard_3-1-0_090082_2019-08-17_final
2019-08-25 10:46:34	ga_ls7e_ard_3-1-0_107070_2019-08-25_final
2019-08-29 10:20:53	ga_ls7e_ard_3-1-0_103068_2019-08-29_final
2019-09-02 09:57:59	ga_ls7e_ard_3-1-0_099073_2019-09-02_final
2019-09-08 09:21:26	ga_ls7e_ard_3-1-0_093075_2019-09-07_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-18 10:01:16	ga_ls7e_ard_3-1-0_099083_2019-09-18_final
2019-09-19 09:04:48	ga_ls7e_ard_3-1-0_090081_2019-09-18_final
2019-09-26 10:45:58	ga_ls7e_ard_3-1-0_107072_2019-09-26_final
2019-09-26 10:47:57	ga_ls7e_ard_3-1-0_107077_2019-09-26_final
2019-09-26 10:49:33	ga_ls7e_ard_3-1-0_107081_2019-09-26_final
2019-10-10 09:21:16	ga_ls7e_ard_3-1-0_093078_2019-10-09_final
2019-10-17 09:28:21	ga_ls7e_ard_3-1-0_094081_2019-10-16_final
2019-10-23 10:28:17	ga_ls7e_ard_3-1-0_104077_2019-10-23_final
2019-10-28 10:49:00	ga_ls7e_ard_3-1-0_107083_2019-10-28_final
2019-11-02 09:27:15	ga_ls7e_ard_3-1-0_094080_2019-11-01_final
2019-11-05 09:58:01	ga_ls7e_ard_3-1-0_099080_2019-11-05_final
2019-12-03 10:16:37	ga_ls7e_ard_3-1-0_103068_2019-12-03_final
2019-12-20 09:26:56	ga_ls7e_ard_3-1-0_094085_2019-12-19_final
2020-01-16 10:43:30	ga_ls7e_ard_3-1-0_107079_2020-01-16_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_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
2020-02-09 09:50:52	ga_ls7e_ard_3-1-0_099074_2020-02-09_final
2020-02-09 09:54:03	ga_ls7e_ard_3-1-0_099082_2020-02-09_final
2020-02-21 10:12:58	ga_ls7e_ard_3-1-0_103069_2020-02-21_final
2020-02-25 09:54:01	ga_ls7e_ard_3-1-0_099084_2020-02-25_final
2020-03-02 09:13:49	ga_ls7e_ard_3-1-0_093077_2020-03-01_final
2020-03-08 10:16:30	ga_ls7e_ard_3-1-0_103080_2020-03-08_final
2020-03-12 09:52:45	ga_ls7e_ard_3-1-0_099083_2020-03-12_final
2020-03-28 09:52:16	ga_ls7e_ard_3-1-0_099084_2020-03-28_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-05 10:40:03	ga_ls7e_ard_3-1-0_107081_2020-04-05_final
2020-04-05 10:40:51	ga_ls7e_ard_3-1-0_107083_2020-04-05_final
2020-04-08 11:07:59	ga_ls7e_ard_3-1-0_112074_2020-04-08_final
2020-04-10 09:19:02	ga_ls7e_ard_3-1-0_094080_2020-04-09_final
2020-04-10 09:19:50	ga_ls7e_ard_3-1-0_094082_2020-04-09_final
2020-04-25 10:10:35	ga_ls7e_ard_3-1-0_103072_2020-04-25_final
2022-03-25 08:58:08	ga_ls7e_ard_3-2-1_100076_2022-03-24_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-27 10:25:40	ga_ls7e_ard_3-2-1_114079_2022-03-27_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-02 09:46:49	ga_ls7e_ard_3-2-1_108076_2022-04-02_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