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
1999-07-26 09:14:44	ga_ls7e_ard_3-1-0_090088_1999-07-25_final
2000-07-12 09:12:10	ga_ls7e_ard_3-1-0_090085_2000-07-11_final
2001-01-13 09:03:23	ga_ls7e_ard_3-1-0_089081_2001-01-12_final
2001-05-24 11:08:56	ga_ls7e_ard_3-1-0_110072_2001-05-24_final
2002-01-03 11:07:44	ga_ls7e_ard_3-1-0_110072_2002-01-03_final
2002-06-09 09:01:29	ga_ls7e_ard_3-1-0_089081_2002-06-08_final
2002-06-22 10:10:34	ga_ls7e_ard_3-1-0_100084_2002-06-22_final
2003-07-21 09:09:14	ga_ls7e_ard_3-1-0_090085_2003-07-20_final
2003-07-22 09:48:53	ga_ls7e_ard_3-1-0_097076_2003-07-22_final
2004-03-26 09:02:12	ga_ls7e_ard_3-1-0_089081_2004-03-25_final
2004-06-23 10:30:15	ga_ls7e_ard_3-1-0_104070_2004-06-23_final
2005-08-07 09:30:00	ga_ls7e_ard_3-1-0_094073_2005-08-07_final
2005-10-14 09:09:47	ga_ls7e_ard_3-1-0_090085_2005-10-13_final
2006-02-15 11:13:57	ga_ls7e_ard_3-1-0_110084_2006-02-15_final
2006-06-27 09:10:37	ga_ls7e_ard_3-1-0_090085_2006-06-26_final
2006-06-28 11:30:46	ga_ls7e_ard_3-1-0_113080_2006-06-28_final
2006-07-21 09:57:52	ga_ls7e_ard_3-1-0_098080_2006-07-21_final
2006-11-15 10:14:37	ga_ls7e_ard_3-1-0_101075_2006-11-15_final
2007-02-19 10:15:08	ga_ls7e_ard_3-1-0_101075_2007-02-19_final
2007-02-22 09:11:09	ga_ls7e_ard_3-1-0_090085_2007-02-21_final
2008-01-09 09:50:43	ga_ls7e_ard_3-1-0_097076_2008-01-09_final
2008-03-05 09:06:17	ga_ls7e_ard_3-1-0_089089_2008-03-04_final
2009-05-27 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-05-26_final
2009-09-03 11:09:17	ga_ls7e_ard_3-1-0_110072_2009-09-03_final
2009-12-14 10:32:12	ga_ls7e_ard_3-1-0_104070_2009-12-14_final
2010-04-11 09:55:10	ga_ls7e_ard_3-1-0_098067_2010-04-11_final
2011-04-06 09:14:19	ga_ls7e_ard_3-1-0_090085_2011-04-05_final
2011-04-27 09:33:38	ga_ls7e_ard_3-1-0_093087_2011-04-27_final
2011-09-09 11:12:25	ga_ls7e_ard_3-1-0_110072_2011-09-09_final
2011-10-08 09:06:07	ga_ls7e_ard_3-1-0_089081_2011-10-07_final
2013-12-03 11:15:26	ga_ls7e_ard_3-1-0_110072_2013-12-03_final
2014-03-29 09:17:39	ga_ls7e_ard_3-1-0_090085_2014-03-28_final
2015-11-21 11:37:03	ga_ls7e_ard_3-1-0_112084_2015-11-21_final
2016-03-30 11:21:16	ga_ls7e_ard_3-1-0_110072_2016-03-30_final
2016-07-10 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-07-10_final
2016-11-23 11:38:47	ga_ls7e_ard_3-1-0_112084_2016-11-23_final
2017-02-17 09:22:40	ga_ls7e_ard_3-1-0_090085_2017-02-16_final
2017-05-04 11:21:34	ga_ls7e_ard_3-1-0_110072_2017-05-04_final
2017-06-18 09:15:32	ga_ls7e_ard_3-1-0_089081_2017-06-17_final
2017-06-19 11:38:53	ga_ls7e_ard_3-1-0_112084_2017-06-19_final
2017-07-23 11:21:46	ga_ls7e_ard_3-1-0_110072_2017-07-23_final
2017-12-31 10:28:03	ga_ls7e_ard_3-1-0_101078_2017-12-31_final
2018-03-17 09:14:06	ga_ls7e_ard_3-1-0_089081_2018-03-16_final
2018-06-21 09:12:31	ga_ls7e_ard_3-1-0_089081_2018-06-20_final
2018-07-26 09:43:33	ga_ls7e_ard_3-1-0_094083_2018-07-26_final
2018-07-30 09:19:34	ga_ls7e_ard_3-1-0_090085_2018-07-29_final
2018-09-16 09:18:36	ga_ls7e_ard_3-1-0_090085_2018-09-15_final
2018-09-24 10:05:51	ga_ls7e_ard_3-1-0_098080_2018-09-24_final
2018-12-14 09:08:40	ga_ls7e_ard_3-1-0_089081_2018-12-13_final
2019-02-19 11:12:49	ga_ls7e_ard_3-1-0_110072_2019-02-19_final
2019-02-24 09:57:31	ga_ls7e_ard_3-1-0_097085_2019-02-24_final
2019-03-12 09:54:13	ga_ls7e_ard_3-1-0_097078_2019-03-12_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-08-14 11:06:22	ga_ls7e_ard_3-1-0_110072_2019-08-14_final
2019-08-23 10:59:01	ga_ls7e_ard_3-1-0_109070_2019-08-23_final
2019-08-30 11:04:54	ga_ls7e_ard_3-1-0_110070_2019-08-30_final
2019-09-15 09:26:54	ga_ls7e_ard_3-1-0_094074_2019-09-14_final
2019-09-19 09:08:00	ga_ls7e_ard_3-1-0_090089_2019-09-18_final
2019-09-27 09:49:54	ga_ls7e_ard_3-1-0_098071_2019-09-27_final
2019-09-27 09:55:29	ga_ls7e_ard_3-1-0_098085_2019-09-27_final
2019-10-06 11:27:25	ga_ls7e_ard_3-1-0_113084_2019-10-06_final
2019-10-13 11:30:55	ga_ls7e_ard_3-1-0_114078_2019-10-13_final
2019-10-18 10:11:58	ga_ls7e_ard_3-1-0_101082_2019-10-18_final
2019-10-21 09:05:03	ga_ls7e_ard_3-1-0_090085_2019-10-20_final
2019-10-27 10:06:11	ga_ls7e_ard_3-1-0_100084_2019-10-27_final
2019-11-03 10:07:16	ga_ls7e_ard_3-1-0_101072_2019-11-03_final
2019-11-05 09:56:01	ga_ls7e_ard_3-1-0_099075_2019-11-05_final
2019-11-06 09:06:20	ga_ls7e_ard_3-1-0_090090_2019-11-05_final
2019-11-12 10:04:40	ga_ls7e_ard_3-1-0_100082_2019-11-12_final
2019-11-15 08:57:21	ga_ls7e_ard_3-1-0_089084_2019-11-14_final
2019-11-22 09:02:24	ga_ls7e_ard_3-1-0_090082_2019-11-21_final
2019-11-22 09:03:12	ga_ls7e_ard_3-1-0_090084_2019-11-21_final
2019-11-24 10:24:50	ga_ls7e_ard_3-1-0_104072_2019-11-24_final
2019-12-03 10:22:13	ga_ls7e_ard_3-1-0_103082_2019-12-03_final
2019-12-13 09:21:07	ga_ls7e_ard_3-1-0_093085_2019-12-12_final
2019-12-17 08:55:47	ga_ls7e_ard_3-1-0_089084_2019-12-16_final
2019-12-21 10:05:21	ga_ls7e_ard_3-1-0_101073_2019-12-21_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2019-12-26 10:22:02	ga_ls7e_ard_3-1-0_104069_2019-12-26_final
2019-12-29 10:53:35	ga_ls7e_ard_3-1-0_109071_2019-12-29_final
2019-12-30 10:01:06	ga_ls7e_ard_3-1-0_100079_2019-12-30_final
2020-01-01 11:27:55	ga_ls7e_ard_3-1-0_114080_2020-01-01_final
2020-01-02 08:54:10	ga_ls7e_ard_3-1-0_089082_2020-01-01_final
2020-01-14 10:53:58	ga_ls7e_ard_3-1-0_109074_2020-01-14_final
2020-01-21 09:24:07	ga_ls7e_ard_3-1-0_094082_2020-01-20_final
2020-01-26 11:20:53	ga_ls7e_ard_3-1-0_113081_2020-01-26_final
2020-02-16 10:00:16	ga_ls7e_ard_3-1-0_100083_2020-02-16_final
2020-02-22 10:59:46	ga_ls7e_ard_3-1-0_110078_2020-02-22_final
2020-03-09 09:23:13	ga_ls7e_ard_3-1-0_094086_2020-03-08_final
2020-03-14 09:35:54	ga_ls7e_ard_3-1-0_097072_2020-03-14_final
2020-03-14 09:38:17	ga_ls7e_ard_3-1-0_097078_2020-03-14_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-18 09:11:45	ga_ls7e_ard_3-1-0_093074_2020-03-17_final
2020-03-18 10:49:02	ga_ls7e_ard_3-1-0_109070_2020-03-18_final
2020-03-21 11:23:46	ga_ls7e_ard_3-1-0_114080_2020-03-21_final
2020-04-06 11:22:51	ga_ls7e_ard_3-1-0_114080_2020-04-06_final
2020-04-10 09:19:26	ga_ls7e_ard_3-1-0_094081_2020-04-09_final
2020-04-15 11:16:57	ga_ls7e_ard_3-1-0_113082_2020-04-15_final
2020-04-23 08:48:34	ga_ls7e_ard_3-1-0_089083_2020-04-22_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_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