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
2000-10-21 09:30:15	ga_ls7e_ard_3-1-0_093087_2000-10-21_final
2001-08-22 10:09:42	ga_ls7e_ard_3-1-0_100081_2001-08-22_final
2001-10-24 09:28:18	ga_ls7e_ard_3-1-0_093087_2001-10-23_final
2003-01-31 09:26:58	ga_ls7e_ard_3-1-0_093083_2003-01-30_final
2004-05-15 10:27:26	ga_ls7e_ard_3-1-0_103078_2004-05-15_final
2005-01-25 11:22:51	ga_ls7e_ard_3-1-0_112077_2005-01-25_final
2005-06-04 09:34:09	ga_ls7e_ard_3-1-0_094083_2005-06-04_final
2005-08-13 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-08-13_final
2005-12-03 10:30:49	ga_ls7e_ard_3-1-0_104070_2005-12-03_final
2006-05-12 10:31:18	ga_ls7e_ard_3-1-0_104070_2006-05-12_final
2006-08-26 09:34:15	ga_ls7e_ard_3-1-0_094083_2006-08-26_final
2006-09-17 10:30:45	ga_ls7e_ard_3-1-0_104070_2006-09-17_final
2006-09-27 09:34:04	ga_ls7e_ard_3-1-0_094083_2006-09-27_final
2007-04-07 09:35:08	ga_ls7e_ard_3-1-0_094083_2007-04-07_final
2007-04-29 10:31:41	ga_ls7e_ard_3-1-0_104070_2007-04-29_final
2008-05-01 10:31:18	ga_ls7e_ard_3-1-0_104070_2008-05-01_final
2011-03-26 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-03-26_final
2011-06-15 10:14:29	ga_ls7e_ard_3-1-0_100081_2011-06-15_final
2011-07-29 10:38:18	ga_ls7e_ard_3-1-0_104079_2011-07-29_final
2011-08-17 09:29:50	ga_ls7e_ard_3-1-0_093078_2011-08-16_final
2011-12-14 09:38:23	ga_ls7e_ard_3-1-0_094083_2011-12-14_final
2012-01-31 09:38:39	ga_ls7e_ard_3-1-0_094083_2012-01-31_final
2012-05-12 10:35:55	ga_ls7e_ard_3-1-0_104070_2012-05-12_final
2012-06-13 10:35:37	ga_ls7e_ard_3-1-0_104070_2012-06-13_final
2012-07-03 10:15:30	ga_ls7e_ard_3-1-0_100081_2012-07-03_final
2012-07-31 10:36:09	ga_ls7e_ard_3-1-0_104070_2012-07-31_final
2012-08-10 09:39:41	ga_ls7e_ard_3-1-0_094083_2012-08-10_final
2012-12-09 09:34:27	ga_ls7e_ard_3-1-0_093083_2012-12-09_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2013-04-07 09:40:39	ga_ls7e_ard_3-1-0_094083_2013-04-07_final
2013-04-29 10:37:08	ga_ls7e_ard_3-1-0_104070_2013-04-29_final
2013-06-10 09:40:17	ga_ls7e_ard_3-1-0_094083_2013-06-10_final
2013-08-22 09:33:48	ga_ls7e_ard_3-1-0_093083_2013-08-22_final
2014-06-17 09:16:53	ga_ls7e_ard_3-1-0_090082_2014-06-16_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2015-05-15 09:44:03	ga_ls7e_ard_3-1-0_094083_2015-05-15_final
2015-08-28 09:38:17	ga_ls7e_ard_3-1-0_093083_2015-08-28_final
2015-10-12 10:41:22	ga_ls7e_ard_3-1-0_104070_2015-10-12_final
2015-11-16 09:39:09	ga_ls7e_ard_3-1-0_093083_2015-11-16_final
2015-12-03 10:21:50	ga_ls7e_ard_3-1-0_100081_2015-12-03_final
2016-06-08 10:43:45	ga_ls7e_ard_3-1-0_104070_2016-06-08_final
2016-06-24 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-06-24_final
2016-07-13 09:40:59	ga_ls7e_ard_3-1-0_093083_2016-07-13_final
2016-09-06 09:47:19	ga_ls7e_ard_3-1-0_094083_2016-09-06_final
2017-04-12 10:23:13	ga_ls7e_ard_3-1-0_100081_2017-04-12_final
2017-05-20 09:47:07	ga_ls7e_ard_3-1-0_094083_2017-05-20_final
2017-07-17 10:23:33	ga_ls7e_ard_3-1-0_100081_2017-07-17_final
2018-01-25 10:22:42	ga_ls7e_ard_3-1-0_100081_2018-01-25_final
2018-04-05 09:45:31	ga_ls7e_ard_3-1-0_094083_2018-04-05_final
2018-12-17 09:40:17	ga_ls7e_ard_3-1-0_094083_2018-12-17_final
2019-02-18 10:30:23	ga_ls7e_ard_3-1-0_103074_2019-02-18_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-03-01 10:13:54	ga_ls7e_ard_3-1-0_100080_2019-03-01_final
2019-03-06 10:28:41	ga_ls7e_ard_3-1-0_103071_2019-03-06_final
2019-03-17 10:11:23	ga_ls7e_ard_3-1-0_100075_2019-03-17_final
2019-03-21 11:25:25	ga_ls7e_ard_3-1-0_112075_2019-03-21_final
2019-08-20 10:28:14	ga_ls7e_ard_3-1-0_104070_2019-08-20_final
2019-08-25 10:47:46	ga_ls7e_ard_3-1-0_107073_2019-08-25_final
2019-08-25 10:50:09	ga_ls7e_ard_3-1-0_107079_2019-08-25_final
2019-08-29 10:20:53	ga_ls7e_ard_3-1-0_103068_2019-08-29_final
2019-09-05 10:27:57	ga_ls7e_ard_3-1-0_104071_2019-09-05_final
2019-09-08 09:21:02	ga_ls7e_ard_3-1-0_093074_2019-09-07_final
2019-09-10 10:50:16	ga_ls7e_ard_3-1-0_107081_2019-09-10_final
2019-09-14 10:24:58	ga_ls7e_ard_3-1-0_103080_2019-09-14_final
2019-09-21 10:28:02	ga_ls7e_ard_3-1-0_104073_2019-09-21_final
2019-09-21 10:29:14	ga_ls7e_ard_3-1-0_104076_2019-09-21_final
2019-09-24 09:21:07	ga_ls7e_ard_3-1-0_093076_2019-09-23_final
2019-09-25 10:03:08	ga_ls7e_ard_3-1-0_100073_2019-09-25_final
2019-09-29 11:17:56	ga_ls7e_ard_3-1-0_112075_2019-09-29_final
2019-10-07 10:28:34	ga_ls7e_ard_3-1-0_104076_2019-10-07_final
2019-10-07 10:28:58	ga_ls7e_ard_3-1-0_104077_2019-10-07_final
2019-10-16 10:22:01	ga_ls7e_ard_3-1-0_103076_2019-10-16_final
2019-11-01 10:22:07	ga_ls7e_ard_3-1-0_103078_2019-11-01_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-16 11:17:03	ga_ls7e_ard_3-1-0_112078_2019-11-16_final
2019-12-04 09:25:45	ga_ls7e_ard_3-1-0_094080_2019-12-03_final
2019-12-04 09:26:56	ga_ls7e_ard_3-1-0_094083_2019-12-03_final
2019-12-10 10:27:15	ga_ls7e_ard_3-1-0_104080_2019-12-10_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-14 10:00:20	ga_ls7e_ard_3-1-0_100075_2019-12-14_final
2019-12-30 09:59:30	ga_ls7e_ard_3-1-0_100075_2019-12-30_final
2020-01-05 09:22:30	ga_ls7e_ard_3-1-0_094076_2020-01-04_final
2020-01-14 09:19:04	ga_ls7e_ard_3-1-0_093084_2020-01-13_final
2020-01-27 10:20:49	ga_ls7e_ard_3-1-0_104070_2020-01-27_final
2020-02-10 08:57:59	ga_ls7e_ard_3-1-0_090081_2020-02-09_final
2020-02-17 10:40:17	ga_ls7e_ard_3-1-0_107075_2020-02-17_final
2020-02-22 09:22:52	ga_ls7e_ard_3-1-0_094083_2020-02-21_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-03-15 10:19:06	ga_ls7e_ard_3-1-0_104072_2020-03-15_final
2020-03-18 09:13:21	ga_ls7e_ard_3-1-0_093078_2020-03-17_final
2020-03-20 10:38:34	ga_ls7e_ard_3-1-0_107075_2020-03-20_final
2020-04-05 10:38:27	ga_ls7e_ard_3-1-0_107077_2020-04-05_final
2020-04-26 09:17:41	ga_ls7e_ard_3-1-0_094079_2020-04-25_final
2022-03-18 08:52:12	ga_ls7e_ard_3-2-1_099075_2022-03-17_final
2022-03-22 10:06:24	ga_ls7e_ard_3-2-1_111076_2022-03-22_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_final
2022-03-25 09:00:08	ga_ls7e_ard_3-2-1_100081_2022-03-24_final
2022-03-27 08:45:11	ga_ls7e_ard_3-2-1_098075_2022-03-26_final
2022-03-29 10:13:31	ga_ls7e_ard_3-2-1_112080_2022-03-29_final
2022-03-31 08:20:05	ga_ls7e_ard_3-2-1_094075_2022-03-30_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