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
1999-10-07 09:05:57	ga_ls7e_ard_3-1-0_089081_1999-10-06_final
1999-10-19 09:32:56	ga_ls7e_ard_3-1-0_093087_1999-10-19_final
2000-06-22 11:10:54	ga_ls7e_ard_3-1-0_110072_2000-06-22_final
2002-01-19 11:07:56	ga_ls7e_ard_3-1-0_110072_2002-01-19_final
2003-04-09 09:01:40	ga_ls7e_ard_3-1-0_089081_2003-04-08_final
2005-01-31 09:10:08	ga_ls7e_ard_3-1-0_090085_2005-01-30_final
2005-08-20 09:02:13	ga_ls7e_ard_3-1-0_089081_2005-08-19_final
2006-01-07 09:29:50	ga_ls7e_ard_3-1-0_093087_2006-01-06_final
2006-08-23 09:02:34	ga_ls7e_ard_3-1-0_089081_2006-08-22_final
2007-01-05 09:10:54	ga_ls7e_ard_3-1-0_090085_2007-01-04_final
2007-02-24 10:31:42	ga_ls7e_ard_3-1-0_104070_2007-02-24_final
2007-06-03 09:28:41	ga_ls7e_ard_3-1-0_093083_2007-06-02_final
2007-07-21 09:30:36	ga_ls7e_ard_3-1-0_093088_2007-07-21_final
2007-11-15 11:26:22	ga_ls7e_ard_3-1-0_112084_2007-11-15_final
2008-01-25 09:50:42	ga_ls7e_ard_3-1-0_097076_2008-01-25_final
2008-04-06 09:03:03	ga_ls7e_ard_3-1-0_089081_2008-04-05_final
2008-05-09 11:26:17	ga_ls7e_ard_3-1-0_112084_2008-05-09_final
2009-01-28 10:30:59	ga_ls7e_ard_3-1-0_104070_2009-01-28_final
2010-07-20 11:12:31	ga_ls7e_ard_3-1-0_110075_2010-07-20_final
2011-01-10 11:29:31	ga_ls7e_ard_3-1-0_112084_2011-01-10_final
2011-02-03 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-02-03_final
2011-07-23 11:12:36	ga_ls7e_ard_3-1-0_110072_2011-07-23_final
2012-03-12 09:30:08	ga_ls7e_ard_3-1-0_093077_2012-03-12_final
2013-02-06 09:16:54	ga_ls7e_ard_3-1-0_090085_2013-02-05_final
2013-05-06 09:08:48	ga_ls7e_ard_3-1-0_089081_2013-05-05_final
2013-08-13 11:14:21	ga_ls7e_ard_3-1-0_110072_2013-08-13_final
2014-06-26 09:10:23	ga_ls7e_ard_3-1-0_089081_2014-06-25_final
2014-06-29 11:16:36	ga_ls7e_ard_3-1-0_110072_2014-06-29_final
2014-11-14 10:19:09	ga_ls7e_ard_3-1-0_100081_2014-11-14_final
2015-03-09 09:11:48	ga_ls7e_ard_3-1-0_089081_2015-03-08_final
2016-06-22 09:23:15	ga_ls7e_ard_3-1-0_090085_2016-06-21_final
2016-07-01 09:15:29	ga_ls7e_ard_3-1-0_089081_2016-06-30_final
2017-07-27 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-07-26_final
2017-07-29 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-07-29_final
2018-06-06 11:36:08	ga_ls7e_ard_3-1-0_112084_2018-06-06_final
2018-10-28 11:33:10	ga_ls7e_ard_3-1-0_112084_2018-10-28_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-06 10:10:25	ga_ls7e_ard_3-1-0_099085_2019-02-06_final
2019-02-23 09:16:17	ga_ls7e_ard_3-1-0_090090_2019-02-22_final
2019-03-01 10:11:30	ga_ls7e_ard_3-1-0_100074_2019-03-01_final
2019-03-05 11:29:32	ga_ls7e_ard_3-1-0_112084_2019-03-05_final
2019-03-12 09:55:00	ga_ls7e_ard_3-1-0_097080_2019-03-12_final
2019-03-16 11:05:03	ga_ls7e_ard_3-1-0_109070_2019-03-16_final
2019-03-17 10:11:47	ga_ls7e_ard_3-1-0_100076_2019-03-17_final
2019-03-28 11:33:45	ga_ls7e_ard_3-1-0_113081_2019-03-28_final
2019-05-23 09:03:21	ga_ls7e_ard_3-1-0_089081_2019-05-22_final
2019-08-25 10:50:57	ga_ls7e_ard_3-1-0_107081_2019-08-25_final
2019-08-28 11:22:08	ga_ls7e_ard_3-1-0_112082_2019-08-28_final
2019-09-04 09:47:32	ga_ls7e_ard_3-1-0_097078_2019-09-04_final
2019-09-13 11:15:27	ga_ls7e_ard_3-1-0_112067_2019-09-13_final
2019-09-13 11:21:02	ga_ls7e_ard_3-1-0_112081_2019-09-13_final
2019-09-19 09:05:36	ga_ls7e_ard_3-1-0_090083_2019-09-18_final
2019-09-30 10:21:29	ga_ls7e_ard_3-1-0_103073_2019-09-30_final
2019-10-01 09:26:13	ga_ls7e_ard_3-1-0_094074_2019-09-30_final
2019-10-10 10:57:21	ga_ls7e_ard_3-1-0_109071_2019-10-10_final
2019-10-12 10:44:54	ga_ls7e_ard_3-1-0_107071_2019-10-12_final
2019-10-13 11:31:43	ga_ls7e_ard_3-1-0_114080_2019-10-13_final
2019-10-21 09:05:27	ga_ls7e_ard_3-1-0_090086_2019-10-20_final
2019-11-01 10:18:31	ga_ls7e_ard_3-1-0_103069_2019-11-01_final
2019-11-01 10:23:19	ga_ls7e_ard_3-1-0_103081_2019-11-01_final
2019-11-07 09:41:58	ga_ls7e_ard_3-1-0_097071_2019-11-07_final
2019-11-13 10:45:53	ga_ls7e_ard_3-1-0_107077_2019-11-13_final
2019-11-22 09:05:12	ga_ls7e_ard_3-1-0_090089_2019-11-21_final
2019-11-22 09:05:36	ga_ls7e_ard_3-1-0_090090_2019-11-21_final
2019-12-03 10:19:01	ga_ls7e_ard_3-1-0_103074_2019-12-03_final
2019-12-03 10:21:25	ga_ls7e_ard_3-1-0_103080_2019-12-03_final
2019-12-07 09:56:54	ga_ls7e_ard_3-1-0_099081_2019-12-07_final
2019-12-09 11:21:19	ga_ls7e_ard_3-1-0_113076_2019-12-09_final
2019-12-13 10:56:48	ga_ls7e_ard_3-1-0_109077_2019-12-13_final
2019-12-15 10:47:08	ga_ls7e_ard_3-1-0_107084_2019-12-15_final
2019-12-16 11:27:09	ga_ls7e_ard_3-1-0_114076_2019-12-16_final
2019-12-25 09:42:25	ga_ls7e_ard_3-1-0_097078_2019-12-25_final
2019-12-29 09:17:06	ga_ls7e_ard_3-1-0_093077_2019-12-28_final
2019-12-30 09:59:54	ga_ls7e_ard_3-1-0_100076_2019-12-30_final
2019-12-31 10:42:43	ga_ls7e_ard_3-1-0_107075_2019-12-31_final
2020-01-08 09:55:39	ga_ls7e_ard_3-1-0_099082_2020-01-08_final
2020-01-10 09:39:12	ga_ls7e_ard_3-1-0_097072_2020-01-10_final
2020-01-14 09:15:05	ga_ls7e_ard_3-1-0_093074_2020-01-13_final
2020-01-14 10:55:33	ga_ls7e_ard_3-1-0_109078_2020-01-14_final
2020-02-07 10:02:32	ga_ls7e_ard_3-1-0_101072_2020-02-07_final
2020-02-10 08:58:23	ga_ls7e_ard_3-1-0_090082_2020-02-09_final
2020-02-20 11:14:13	ga_ls7e_ard_3-1-0_112083_2020-02-20_final
2020-02-22 10:59:22	ga_ls7e_ard_3-1-0_110077_2020-02-22_final
2020-03-09 09:22:49	ga_ls7e_ard_3-1-0_094085_2020-03-08_final
2020-03-09 11:00:30	ga_ls7e_ard_3-1-0_110082_2020-03-09_final
2020-03-14 09:40:41	ga_ls7e_ard_3-1-0_097084_2020-03-14_final
2020-03-14 11:17:10	ga_ls7e_ard_3-1-0_113078_2020-03-14_final
2020-03-18 10:49:26	ga_ls7e_ard_3-1-0_109071_2020-03-18_final
2020-03-18 10:54:37	ga_ls7e_ard_3-1-0_109084_2020-03-18_final
2020-03-30 09:34:36	ga_ls7e_ard_3-1-0_097071_2020-03-30_final
2020-04-07 08:49:54	ga_ls7e_ard_3-1-0_089084_2020-04-06_final
2020-04-10 10:55:07	ga_ls7e_ard_3-1-0_110073_2020-04-10_final
2020-04-21 10:40:19	ga_ls7e_ard_3-1-0_107084_2020-04-21_final
2020-04-26 10:54:11	ga_ls7e_ard_3-1-0_110073_2020-04-26_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-22 08:26:43	ga_ls7e_ard_3-2-1_095074_2022-03-21_final
2022-03-24 09:52:15	ga_ls7e_ard_3-2-1_109072_2022-03-24_final
2022-03-26 08:02:49	ga_ls7e_ard_3-2-1_091077_2022-03-25_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-31 10:01:46	ga_ls7e_ard_3-2-1_110082_2022-03-31_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