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
2001-01-07 09:34:51	ga_ls7e_ard_3-0-0_095067_2001-01-07_final
2002-11-22 11:40:32	ga_ls7e_ard_3-0-0_115078_2002-11-22_final
2002-12-24 11:41:08	ga_ls7e_ard_3-0-0_115079_2002-12-24_final
2004-01-28 11:40:16	ga_ls7e_ard_3-0-0_115075_2004-01-28_final
2005-07-09 11:41:26	ga_ls7e_ard_3-1-0_115077_2005-07-09_final
2005-09-27 11:41:28	ga_ls7e_ard_3-0-0_115078_2005-09-27_final
2005-12-03 08:56:44	ga_ls7e_ard_3-0-0_088082_2005-12-02_final
2006-05-09 11:41:16	ga_ls7e_ard_3-0-0_115075_2006-05-09_final
2006-12-23 09:36:36	ga_ls7e_ard_3-0-0_095072_2006-12-23_final
2007-02-05 11:42:46	ga_ls7e_ard_3-0-0_115078_2007-02-05_final
2007-03-28 08:57:16	ga_ls7e_ard_3-0-0_088081_2007-03-27_final
2008-02-28 09:34:37	ga_ls7e_ard_3-0-0_095067_2008-02-28_final
2008-07-01 11:41:58	ga_ls7e_ard_3-0-0_115078_2008-07-01_final
2008-08-05 08:56:21	ga_ls7e_ard_3-0-0_088082_2008-08-04_final
2008-09-07 09:40:10	ga_ls7e_ard_3-0-0_095084_2008-09-07_final
2009-01-12 08:56:25	ga_ls7e_ard_3-0-0_088081_2009-01-11_final
2009-10-12 09:34:29	ga_ls7e_ard_3-0-0_095067_2009-10-12_final
2010-03-17 11:44:33	ga_ls7e_ard_3-0-0_115078_2010-03-17_final
2010-06-09 09:36:33	ga_ls7e_ard_3-0-0_095067_2010-06-09_final
2010-06-09 09:44:08	ga_ls7e_ard_3-0-0_095086_2010-06-09_final
2010-12-18 09:44:38	ga_ls7e_ard_3-0-0_095085_2010-12-18_final
2011-02-20 09:43:52	ga_ls7e_ard_3-0-0_095082_2011-02-20_final
2011-10-02 09:37:40	ga_ls7e_ard_3-0-0_095067_2011-10-02_final
2011-11-03 09:37:47	ga_ls7e_ard_3-0-0_095067_2011-11-03_final
2012-09-30 11:48:00	ga_ls7e_ard_3-0-0_115078_2012-09-30_final
2012-10-03 09:02:21	ga_ls7e_ard_3-0-0_088081_2012-10-02_final
2013-02-25 09:48:32	ga_ls7e_ard_3-0-0_095087_2013-02-25_final
2013-07-19 09:44:09	ga_ls7e_ard_3-0-0_095078_2013-07-19_final
2014-07-06 09:49:31	ga_ls7e_ard_3-0-0_095086_2014-07-06_final
2014-09-20 11:50:07	ga_ls7e_ard_3-0-0_115078_2014-09-20_final
2014-10-22 11:50:52	ga_ls7e_ard_3-0-0_115079_2014-10-22_final
2015-08-26 09:49:03	ga_ls7e_ard_3-1-0_095079_2015-08-26_final
2016-04-22 09:46:44	ga_ls7e_ard_3-0-0_095067_2016-04-22_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2017-03-04 11:54:54	ga_ls7e_ard_3-0-0_115079_2017-03-04_final
2017-10-30 11:55:02	ga_ls7e_ard_3-0-0_115078_2017-10-30_final
2017-12-17 11:54:45	ga_ls7e_ard_3-0-0_115078_2017-12-17_final
2018-01-02 11:54:33	ga_ls7e_ard_3-0-0_115078_2018-01-02_final
2018-02-23 09:47:50	ga_ls7e_ard_3-0-0_095072_2018-02-23_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-05-01 09:43:17	ga_ls7e_ard_3-0-0_095086_2019-05-01_final
2020-01-08 11:33:20	ga_ls7e_ard_3-1-0_115079_2020-01-08_final
2020-11-27 09:13:03	ga_ls7e_ard_3-1-0_095086_2020-11-26_final
2021-01-29 09:59:19	ga_ls7e_ard_3-2-0_104074_2021-01-29_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-02-10 08:44:40	ga_ls7e_ard_3-2-0_092075_2021-02-09_final
2021-02-21 10:03:47	ga_ls7e_ard_3-2-0_105074_2021-02-21_final
2021-02-28 08:36:08	ga_ls7e_ard_3-2-0_090088_2021-02-27_final
2021-03-01 10:52:37	ga_ls7e_ard_3-2-0_113074_2021-03-01_final
2021-03-03 08:58:25	ga_ls7e_ard_3-2-0_095067_2021-03-02_final
2021-03-16 08:35:41	ga_ls7e_ard_3-2-0_090090_2021-03-15_final
2021-03-21 10:30:18	ga_ls7e_ard_3-2-0_109084_2021-03-21_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-04 10:36:20	ga_ls7e_ard_3-2-0_111071_2021-04-04_final
2021-04-16 09:25:58	ga_ls7e_ard_3-2-0_099083_2021-04-15_final
2021-04-18 10:48:43	ga_ls7e_ard_3-2-0_113074_2021-04-18_final
2021-05-02 09:19:01	ga_ls7e_ard_3-2-0_099069_2021-05-01_final
2021-05-07 09:37:09	ga_ls7e_ard_3-2-0_102069_2021-05-07_final
2021-05-25 09:29:15	ga_ls7e_ard_3-2-0_100084_2021-05-24_final
2021-06-06 09:52:09	ga_ls7e_ard_3-2-0_104082_2021-06-06_final
2021-06-12 10:50:41	ga_ls7e_ard_3-2-0_114075_2021-06-12_final
2021-06-20 08:25:18	ga_ls7e_ard_3-2-0_090084_2021-06-19_final
2021-06-27 08:32:30	ga_ls7e_ard_3-2-0_091088_2021-06-26_final
2021-07-22 09:55:05	ga_ls7e_ard_3-2-0_106068_2021-07-22_final
2021-07-27 08:41:30	ga_ls7e_ard_3-2-0_093086_2021-07-26_final
2021-08-06 09:14:06	ga_ls7e_ard_3-2-0_099077_2021-08-05_final
2021-08-20 09:24:49	ga_ls7e_ard_3-2-0_101076_2021-08-19_final
2021-08-22 09:09:30	ga_ls7e_ard_3-2-0_099069_2021-08-21_final
2021-09-07 09:12:30	ga_ls7e_ard_3-2-0_099080_2021-09-06_final
2021-09-13 10:11:23	ga_ls7e_ard_3-2-0_109074_2021-09-13_final
2021-09-16 09:07:31	ga_ls7e_ard_3-2-0_098085_2021-09-15_final
2021-09-20 10:17:20	ga_ls7e_ard_3-2-0_110075_2021-09-20_final
2021-09-24 09:52:39	ga_ls7e_ard_3-2-0_106076_2021-09-24_final
2021-10-22 10:14:29	ga_ls7e_ard_3-2-0_110075_2021-10-22_final
2021-11-01 09:10:34	ga_ls7e_ard_3-2-0_100072_2021-10-31_final
2021-11-10 09:01:32	ga_ls7e_ard_3-2-0_099067_2021-11-09_final
2021-11-21 08:49:30	ga_ls7e_ard_3-2-1_096086_2021-11-20_final
2021-12-01 09:18:27	ga_ls7e_ard_3-2-1_102068_2021-11-30_final
2021-12-16 10:14:15	ga_ls7e_ard_3-2-1_111072_2021-12-16_final
2021-12-19 09:10:22	ga_ls7e_ard_3-2-1_100083_2021-12-18_final
2021-12-30 08:46:20	ga_ls7e_ard_3-2-1_097072_2021-12-29_final
2022-01-02 09:17:20	ga_ls7e_ard_3-2-1_102073_2022-01-01_final
2022-01-04 09:09:09	ga_ls7e_ard_3-2-1_100084_2022-01-03_final
2022-01-11 09:13:53	ga_ls7e_ard_3-2-1_101082_2022-01-10_final
2022-01-13 08:56:09	ga_ls7e_ard_3-2-1_099069_2022-01-12_final
2022-01-13 08:57:21	ga_ls7e_ard_3-2-1_099072_2022-01-12_final
2022-01-15 08:44:48	ga_ls7e_ard_3-2-1_097072_2022-01-14_final
2022-01-17 08:37:26	ga_ls7e_ard_3-2-1_095085_2022-01-16_final
2022-01-22 08:49:54	ga_ls7e_ard_3-2-1_098071_2022-01-21_final
2022-02-02 08:31:05	ga_ls7e_ard_3-2-1_095073_2022-02-01_final
2022-02-03 09:13:26	ga_ls7e_ard_3-2-1_102071_2022-02-02_final
2022-02-06 09:44:26	ga_ls7e_ard_3-2-1_107072_2022-02-06_final
2022-02-08 09:30:16	ga_ls7e_ard_3-2-1_105068_2022-02-08_final
2022-02-09 10:19:49	ga_ls7e_ard_3-2-1_112084_2022-02-09_final
2022-02-10 09:17:42	ga_ls7e_ard_3-2-1_103068_2022-02-09_final
2022-02-14 08:52:34	ga_ls7e_ard_3-2-1_099068_2022-02-13_final
2022-02-16 08:43:59	ga_ls7e_ard_3-2-1_097078_2022-02-15_final
2022-02-19 09:16:12	ga_ls7e_ard_3-2-1_102082_2022-02-18_final
2022-03-03 08:03:17	ga_ls7e_ard_3-2-1_090088_2022-03-02_final
2022-03-12 09:27:07	ga_ls7e_ard_3-2-1_105068_2022-03-11_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