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
1999-11-27 11:11:53	ga_ls7e_ard_3-1-0_110072_1999-11-27_final
2000-07-05 09:07:43	ga_ls7e_ard_3-1-0_089089_2000-07-04_final
2000-09-22 09:58:36	ga_ls7e_ard_3-1-0_098080_2000-09-22_final
2002-02-16 09:57:01	ga_ls7e_ard_3-1-0_098080_2002-02-16_final
2002-06-24 09:56:35	ga_ls7e_ard_3-1-0_098080_2002-06-24_final
2003-11-06 09:33:02	ga_ls7e_ard_3-1-0_094083_2003-11-06_final
2004-01-25 11:08:09	ga_ls7e_ard_3-1-0_110072_2004-01-25_final
2004-12-05 10:49:19	ga_ls7e_ard_3-1-0_107071_2004-12-05_final
2004-12-24 11:25:33	ga_ls7e_ard_3-1-0_112084_2004-12-24_final
2005-01-27 11:08:31	ga_ls7e_ard_3-1-0_110072_2005-01-27_final
2005-02-28 11:08:47	ga_ls7e_ard_3-1-0_110072_2005-02-28_final
2005-11-04 09:29:24	ga_ls7e_ard_3-1-0_093087_2005-11-03_final
2006-03-03 11:09:12	ga_ls7e_ard_3-1-0_110072_2006-03-03_final
2006-04-17 09:06:06	ga_ls7e_ard_3-1-0_089089_2006-04-16_final
2006-07-06 09:02:47	ga_ls7e_ard_3-1-0_089081_2006-07-05_final
2006-08-23 09:05:45	ga_ls7e_ard_3-1-0_089089_2006-08-22_final
2006-12-19 10:01:19	ga_ls7e_ard_3-1-0_099072_2006-12-19_final
2007-01-06 09:50:35	ga_ls7e_ard_3-1-0_097076_2007-01-06_final
2007-07-05 09:28:40	ga_ls7e_ard_3-1-0_093083_2007-07-04_final
2007-07-24 09:58:18	ga_ls7e_ard_3-1-0_098080_2007-07-24_final
2008-03-04 09:58:19	ga_ls7e_ard_3-1-0_098080_2008-03-04_final
2008-03-28 09:10:50	ga_ls7e_ard_3-1-0_090085_2008-03-27_final
2008-07-14 09:30:02	ga_ls7e_ard_3-1-0_094073_2008-07-14_final
2009-05-26 09:58:35	ga_ls7e_ard_3-1-0_098080_2009-05-26_final
2009-07-10 09:29:59	ga_ls7e_ard_3-1-0_093086_2009-07-09_final
2009-07-14 09:06:26	ga_ls7e_ard_3-1-0_089089_2009-07-13_final
2010-01-06 09:07:29	ga_ls7e_ard_3-1-0_089089_2010-01-05_final
2011-12-18 09:14:32	ga_ls7e_ard_3-1-0_090085_2011-12-17_final
2012-07-25 09:39:30	ga_ls7e_ard_3-1-0_094083_2012-07-25_final
2013-02-15 09:09:07	ga_ls7e_ard_3-1-0_089081_2013-02-14_final
2015-01-04 09:11:27	ga_ls7e_ard_3-1-0_089081_2015-01-03_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2015-07-15 09:15:51	ga_ls7e_ard_3-1-0_089089_2015-07-14_final
2015-09-24 09:20:39	ga_ls7e_ard_3-1-0_090085_2015-09-23_final
2017-01-12 11:21:17	ga_ls7e_ard_3-1-0_110072_2017-01-12_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2018-04-17 10:08:51	ga_ls7e_ard_3-1-0_098080_2018-04-17_final
2018-10-30 11:15:59	ga_ls7e_ard_3-1-0_110072_2018-10-30_final
2019-01-02 11:14:18	ga_ls7e_ard_3-1-0_110072_2019-01-02_final
2019-02-15 10:01:58	ga_ls7e_ard_3-1-0_098080_2019-02-15_final
2019-02-19 11:12:01	ga_ls7e_ard_3-1-0_110070_2019-02-19_final
2019-02-22 10:04:45	ga_ls7e_ard_3-1-0_099072_2019-02-22_final
2019-02-25 10:33:57	ga_ls7e_ard_3-1-0_104068_2019-02-25_final
2019-03-01 10:10:19	ga_ls7e_ard_3-1-0_100071_2019-03-01_final
2019-03-04 09:07:49	ga_ls7e_ard_3-1-0_089085_2019-03-03_final
2019-03-10 10:04:14	ga_ls7e_ard_3-1-0_099072_2019-03-10_final
2019-03-22 10:28:34	ga_ls7e_ard_3-1-0_103072_2019-03-22_final
2019-07-13 11:07:40	ga_ls7e_ard_3-1-0_110072_2019-07-13_final
2019-09-13 11:18:14	ga_ls7e_ard_3-1-0_112074_2019-09-13_final
2019-09-18 10:00:04	ga_ls7e_ard_3-1-0_099080_2019-09-18_final
2019-10-07 10:30:34	ga_ls7e_ard_3-1-0_104081_2019-10-07_final
2019-10-10 10:59:21	ga_ls7e_ard_3-1-0_109076_2019-10-10_final
2019-10-13 09:47:39	ga_ls7e_ard_3-1-0_098067_2019-10-13_final
2019-10-13 09:52:50	ga_ls7e_ard_3-1-0_098080_2019-10-13_final
2019-10-22 09:45:52	ga_ls7e_ard_3-1-0_097079_2019-10-22_final
2019-10-29 11:29:50	ga_ls7e_ard_3-1-0_114077_2019-10-29_final
2019-11-01 10:22:55	ga_ls7e_ard_3-1-0_103080_2019-11-01_final
2019-11-05 09:58:01	ga_ls7e_ard_3-1-0_099080_2019-11-05_final
2019-11-05 09:59:13	ga_ls7e_ard_3-1-0_099083_2019-11-05_final
2019-11-07 09:45:34	ga_ls7e_ard_3-1-0_097080_2019-11-07_final
2019-11-23 09:46:49	ga_ls7e_ard_3-1-0_097085_2019-11-23_final
2019-12-10 10:24:27	ga_ls7e_ard_3-1-0_104073_2019-12-10_final
2019-12-15 10:41:57	ga_ls7e_ard_3-1-0_107071_2019-12-15_final
2019-12-19 10:15:49	ga_ls7e_ard_3-1-0_103068_2019-12-19_final
2019-12-21 10:06:57	ga_ls7e_ard_3-1-0_101077_2019-12-21_final
2019-12-23 09:51:18	ga_ls7e_ard_3-1-0_099069_2019-12-23_final
2019-12-25 11:20:54	ga_ls7e_ard_3-1-0_113077_2019-12-25_final
2019-12-26 10:22:02	ga_ls7e_ard_3-1-0_104069_2019-12-26_final
2019-12-29 10:54:47	ga_ls7e_ard_3-1-0_109074_2019-12-29_final
2020-01-01 09:51:02	ga_ls7e_ard_3-1-0_098085_2020-01-01_final
2020-01-01 11:25:55	ga_ls7e_ard_3-1-0_114075_2020-01-01_final
2020-01-03 11:13:03	ga_ls7e_ard_3-1-0_112074_2020-01-03_final
2020-01-05 11:01:23	ga_ls7e_ard_3-1-0_110076_2020-01-05_final
2020-01-24 09:48:53	ga_ls7e_ard_3-1-0_099067_2020-01-24_final
2020-01-30 10:51:58	ga_ls7e_ard_3-1-0_109071_2020-01-30_final
2020-01-30 10:53:34	ga_ls7e_ard_3-1-0_109075_2020-01-30_final
2020-02-02 09:47:02	ga_ls7e_ard_3-1-0_098079_2020-02-02_final
2020-02-04 11:15:27	ga_ls7e_ard_3-1-0_112084_2020-02-04_final
2020-02-05 10:14:59	ga_ls7e_ard_3-1-0_103072_2020-02-05_final
2020-02-10 08:56:47	ga_ls7e_ard_3-1-0_090078_2020-02-09_final
2020-02-22 10:59:22	ga_ls7e_ard_3-1-0_110077_2020-02-22_final
2020-02-22 10:59:46	ga_ls7e_ard_3-1-0_110078_2020-02-22_final
2020-02-23 10:03:41	ga_ls7e_ard_3-1-0_101077_2020-02-23_final
2020-02-23 10:06:05	ga_ls7e_ard_3-1-0_101083_2020-02-23_final
2020-02-25 09:50:01	ga_ls7e_ard_3-1-0_099074_2020-02-25_final
2020-03-02 09:16:37	ga_ls7e_ard_3-1-0_093084_2020-03-01_final
2020-03-09 09:18:02	ga_ls7e_ard_3-1-0_094073_2020-03-08_final
2020-03-09 11:01:18	ga_ls7e_ard_3-1-0_110084_2020-03-09_final
2020-03-10 10:00:26	ga_ls7e_ard_3-1-0_101071_2020-03-10_final
2020-03-21 09:44:29	ga_ls7e_ard_3-1-0_098079_2020-03-21_final
2020-03-25 09:20:20	ga_ls7e_ard_3-1-0_094081_2020-03-24_final
2020-03-28 09:50:40	ga_ls7e_ard_3-1-0_099080_2020-03-28_final
2020-03-29 08:54:36	ga_ls7e_ard_3-1-0_090079_2020-03-28_final
2020-04-13 09:46:10	ga_ls7e_ard_3-1-0_099071_2020-04-13_final
2020-04-29 09:45:13	ga_ls7e_ard_3-1-0_099071_2020-04-29_final
2022-03-23 09:12:41	ga_ls7e_ard_3-2-1_102081_2022-03-22_final
2022-03-24 09:53:27	ga_ls7e_ard_3-2-1_109075_2022-03-24_final
2022-04-01 09:06:27	ga_ls7e_ard_3-2-1_101083_2022-03-31_final
2022-04-03 08:52:17	ga_ls7e_ard_3-2-1_099079_2022-04-02_final
2022-04-05 08:42:07	ga_ls7e_ard_3-2-1_097085_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