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
2000-11-13 09:28:34	ga_ls7e_ard_3-1-0_094067_2000-11-12_final
2001-10-21 10:29:32	ga_ls7e_ard_3-1-0_104070_2001-10-21_final
2002-03-17 09:28:51	ga_ls7e_ard_3-1-0_093087_2002-03-16_final
2002-04-18 09:28:48	ga_ls7e_ard_3-1-0_093087_2002-04-17_final
2002-10-27 09:27:49	ga_ls7e_ard_3-1-0_093087_2002-10-26_final
2002-12-30 09:28:23	ga_ls7e_ard_3-1-0_093087_2002-12-29_final
2003-05-07 09:28:47	ga_ls7e_ard_3-1-0_093087_2003-05-06_final
2004-05-16 09:29:49	ga_ls7e_ard_3-1-0_094073_2004-05-15_final
2004-09-14 09:27:04	ga_ls7e_ard_3-1-0_093083_2004-09-13_final
2004-12-16 10:30:26	ga_ls7e_ard_3-1-0_104070_2004-12-16_final
2005-05-03 09:27:49	ga_ls7e_ard_3-1-0_094067_2005-05-02_final
2005-11-01 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-11-01_final
2006-12-09 09:30:10	ga_ls7e_ard_3-1-0_093087_2006-12-09_final
2007-02-27 09:30:31	ga_ls7e_ard_3-1-0_093087_2007-02-27_final
2008-03-11 10:06:03	ga_ls7e_ard_3-1-0_099084_2008-03-11_final
2008-04-09 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-04-08_final
2008-07-20 10:30:34	ga_ls7e_ard_3-1-0_104070_2008-07-20_final
2008-08-02 09:59:34	ga_ls7e_ard_3-1-0_099070_2008-08-02_final
2009-04-21 09:30:00	ga_ls7e_ard_3-1-0_093086_2009-04-21_final
2009-05-14 09:28:40	ga_ls7e_ard_3-1-0_094067_2009-05-13_final
2010-01-18 09:29:59	ga_ls7e_ard_3-1-0_093083_2010-01-17_final
2010-03-23 09:30:36	ga_ls7e_ard_3-1-0_093083_2010-03-23_final
2010-10-01 09:27:03	ga_ls7e_ard_3-1-0_093074_2010-09-30_final
2010-10-01 09:28:39	ga_ls7e_ard_3-1-0_093078_2010-09-30_final
2011-02-22 09:29:55	ga_ls7e_ard_3-1-0_093078_2011-02-21_final
2011-04-11 09:33:39	ga_ls7e_ard_3-1-0_093087_2011-04-11_final
2012-03-12 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-03-12_final
2013-05-02 09:35:56	ga_ls7e_ard_3-1-0_093087_2013-05-02_final
2013-11-26 09:36:17	ga_ls7e_ard_3-1-0_093087_2013-11-26_final
2014-05-18 10:38:34	ga_ls7e_ard_3-1-0_104070_2014-05-18_final
2014-06-19 10:38:38	ga_ls7e_ard_3-1-0_104070_2014-06-19_final
2014-07-15 09:35:44	ga_ls7e_ard_3-1-0_094067_2014-07-15_final
2014-09-01 09:35:52	ga_ls7e_ard_3-1-0_094067_2014-09-01_final
2015-02-24 09:37:03	ga_ls7e_ard_3-1-0_094067_2015-02-24_final
2017-12-04 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-12-04_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2018-05-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2018-05-01_final
2019-02-18 10:32:47	ga_ls7e_ard_3-1-0_103080_2019-02-18_final
2019-03-01 10:11:30	ga_ls7e_ard_3-1-0_100074_2019-03-01_final
2019-03-06 10:29:29	ga_ls7e_ard_3-1-0_103073_2019-03-06_final
2019-03-16 09:31:21	ga_ls7e_ard_3-1-0_093083_2019-03-16_final
2019-03-16 09:32:09	ga_ls7e_ard_3-1-0_093085_2019-03-16_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-09-05 10:27:09	ga_ls7e_ard_3-1-0_104069_2019-09-05_final
2019-09-10 10:45:52	ga_ls7e_ard_3-1-0_107070_2019-09-10_final
2019-09-14 10:21:22	ga_ls7e_ard_3-1-0_103071_2019-09-14_final
2019-09-15 09:26:30	ga_ls7e_ard_3-1-0_094073_2019-09-14_final
2019-09-24 09:20:43	ga_ls7e_ard_3-1-0_093075_2019-09-23_final
2019-09-26 10:47:33	ga_ls7e_ard_3-1-0_107076_2019-09-26_final
2019-10-12 10:45:18	ga_ls7e_ard_3-1-0_107072_2019-10-12_final
2019-10-20 10:00:19	ga_ls7e_ard_3-1-0_099084_2019-10-20_final
2019-10-26 09:19:47	ga_ls7e_ard_3-1-0_093076_2019-10-25_final
2019-10-26 09:20:35	ga_ls7e_ard_3-1-0_093078_2019-10-25_final
2019-10-28 10:49:24	ga_ls7e_ard_3-1-0_107084_2019-10-28_final
2019-11-05 09:58:49	ga_ls7e_ard_3-1-0_099082_2019-11-05_final
2019-11-11 09:18:40	ga_ls7e_ard_3-1-0_093075_2019-11-10_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
2019-11-13 10:43:54	ga_ls7e_ard_3-1-0_107072_2019-11-13_final
2019-11-17 10:17:47	ga_ls7e_ard_3-1-0_103069_2019-11-17_final
2019-11-17 10:20:59	ga_ls7e_ard_3-1-0_103077_2019-11-17_final
2019-11-24 10:26:26	ga_ls7e_ard_3-1-0_104076_2019-11-24_final
2019-11-27 09:18:19	ga_ls7e_ard_3-1-0_093076_2019-11-26_final
2019-12-04 09:27:20	ga_ls7e_ard_3-1-0_094084_2019-12-03_final
2019-12-14 10:03:31	ga_ls7e_ard_3-1-0_100083_2019-12-14_final
2019-12-15 10:47:08	ga_ls7e_ard_3-1-0_107084_2019-12-15_final
2019-12-19 10:18:13	ga_ls7e_ard_3-1-0_103074_2019-12-19_final
2019-12-26 10:22:26	ga_ls7e_ard_3-1-0_104070_2019-12-26_final
2020-01-04 10:15:47	ga_ls7e_ard_3-1-0_103070_2020-01-04_final
2020-01-14 09:18:40	ga_ls7e_ard_3-1-0_093083_2020-01-13_final
2020-01-16 10:41:06	ga_ls7e_ard_3-1-0_107073_2020-01-16_final
2020-01-30 09:15:05	ga_ls7e_ard_3-1-0_093076_2020-01-29_final
2020-01-31 09:59:54	ga_ls7e_ard_3-1-0_100080_2020-01-31_final
2020-02-12 10:21:36	ga_ls7e_ard_3-1-0_104074_2020-02-12_final
2020-02-15 09:17:28	ga_ls7e_ard_3-1-0_093084_2020-02-14_final
2020-02-16 09:57:05	ga_ls7e_ard_3-1-0_100075_2020-02-16_final
2020-02-16 09:57:29	ga_ls7e_ard_3-1-0_100076_2020-02-16_final
2020-02-22 09:24:28	ga_ls7e_ard_3-1-0_094087_2020-02-21_final
2020-03-02 09:12:37	ga_ls7e_ard_3-1-0_093074_2020-03-01_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-08 10:15:18	ga_ls7e_ard_3-1-0_103077_2020-03-08_final
2020-03-18 09:12:57	ga_ls7e_ard_3-1-0_093077_2020-03-17_final
2020-03-19 09:54:57	ga_ls7e_ard_3-1-0_100074_2020-03-19_final
2020-03-28 09:52:16	ga_ls7e_ard_3-1-0_099084_2020-03-28_final
2020-03-31 10:18:36	ga_ls7e_ard_3-1-0_104073_2020-03-31_final
2020-04-05 10:37:39	ga_ls7e_ard_3-1-0_107075_2020-04-05_final
2020-04-09 10:13:30	ga_ls7e_ard_3-1-0_103077_2020-04-09_final
2020-04-09 10:15:06	ga_ls7e_ard_3-1-0_103081_2020-04-09_final
2020-04-10 09:19:02	ga_ls7e_ard_3-1-0_094080_2020-04-09_final
2020-04-20 09:52:20	ga_ls7e_ard_3-1-0_100072_2020-04-20_final
2020-04-20 09:56:19	ga_ls7e_ard_3-1-0_100082_2020-04-20_final
2022-03-13 10:16:15	ga_ls7e_ard_3-2-1_112083_2022-03-13_final
2022-03-14 09:15:45	ga_ls7e_ard_3-2-1_103071_2022-03-13_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-17 08:11:51	ga_ls7e_ard_3-2-1_092082_2022-03-16_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_final
2022-03-19 09:34:11	ga_ls7e_ard_3-2-1_106072_2022-03-19_final
2022-03-29 10:15:07	ga_ls7e_ard_3-2-1_112084_2022-03-29_final
2022-03-30 09:17:00	ga_ls7e_ard_3-2-1_103078_2022-03-29_final
2022-04-05 08:37:20	ga_ls7e_ard_3-2-1_097073_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