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
1999-09-17 09:32:52	ga_ls7e_ard_3-1-0_093087_1999-09-17_final
2000-01-07 09:32:52	ga_ls7e_ard_3-1-0_093087_2000-01-07_final
2000-12-08 09:30:22	ga_ls7e_ard_3-1-0_093087_2000-12-08_final
2001-08-12 09:27:08	ga_ls7e_ard_3-1-0_094067_2001-08-11_final
2002-01-06 10:01:01	ga_ls7e_ard_3-1-0_099075_2002-01-06_final
2002-08-08 09:28:12	ga_ls7e_ard_3-1-0_093087_2002-08-07_final
2003-01-10 09:09:02	ga_ls7e_ard_3-1-0_090085_2003-01-09_final
2003-02-27 09:09:21	ga_ls7e_ard_3-1-0_090085_2003-02-26_final
2003-04-10 11:25:01	ga_ls7e_ard_3-1-0_112084_2003-04-10_final
2003-11-26 09:07:46	ga_ls7e_ard_3-1-0_090081_2003-11-25_final
2004-06-21 09:09:43	ga_ls7e_ard_3-1-0_090085_2004-06-20_final
2004-11-17 09:28:58	ga_ls7e_ard_3-1-0_093087_2004-11-16_final
2005-04-05 09:10:20	ga_ls7e_ard_3-1-0_090085_2005-04-04_final
2006-02-19 09:10:46	ga_ls7e_ard_3-1-0_090085_2006-02-18_final
2006-03-19 09:28:20	ga_ls7e_ard_3-1-0_094067_2006-03-18_final
2006-06-27 09:10:37	ga_ls7e_ard_3-1-0_090085_2006-06-26_final
2006-10-22 09:29:37	ga_ls7e_ard_3-1-0_093087_2006-10-21_final
2007-06-14 09:10:57	ga_ls7e_ard_3-1-0_090085_2007-06-13_final
2008-01-04 09:28:35	ga_ls7e_ard_3-1-0_094067_2008-01-03_final
2008-03-24 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-03-23_final
2008-04-13 09:10:49	ga_ls7e_ard_3-1-0_090085_2008-04-12_final
2008-07-18 09:10:03	ga_ls7e_ard_3-1-0_090085_2008-07-17_final
2008-09-20 09:09:33	ga_ls7e_ard_3-1-0_090085_2008-09-19_final
2008-12-30 09:29:39	ga_ls7e_ard_3-1-0_093087_2008-12-29_final
2009-10-19 11:26:28	ga_ls7e_ard_3-1-0_112084_2009-10-19_final
2010-01-02 09:31:20	ga_ls7e_ard_3-1-0_093087_2010-01-02_final
2012-04-24 09:14:57	ga_ls7e_ard_3-1-0_090085_2012-04-23_final
2012-09-04 09:35:22	ga_ls7e_ard_3-1-0_093087_2012-09-04_final
2013-08-03 10:36:29	ga_ls7e_ard_3-1-0_104070_2013-08-03_final
2013-11-01 09:34:18	ga_ls7e_ard_3-1-0_094067_2013-11-01_final
2014-06-11 11:29:40	ga_ls7e_ard_3-1-0_112074_2014-06-11_final
2015-03-28 09:37:17	ga_ls7e_ard_3-1-0_094067_2015-03-28_final
2015-07-06 09:20:23	ga_ls7e_ard_3-1-0_090085_2015-07-05_final
2015-09-04 09:38:05	ga_ls7e_ard_3-1-0_094067_2015-09-04_final
2015-10-20 11:36:33	ga_ls7e_ard_3-1-0_112084_2015-10-20_final
2016-08-05 09:40:51	ga_ls7e_ard_3-1-0_094067_2016-08-05_final
2016-11-29 09:23:12	ga_ls7e_ard_3-1-0_090085_2016-11-28_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2018-01-29 11:38:00	ga_ls7e_ard_3-1-0_112084_2018-01-29_final
2018-05-07 09:38:34	ga_ls7e_ard_3-1-0_094067_2018-05-07_final
2019-01-06 09:14:34	ga_ls7e_ard_3-1-0_090082_2019-01-05_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-17 11:30:02	ga_ls7e_ard_3-1-0_112084_2019-02-17_final
2019-02-23 09:15:53	ga_ls7e_ard_3-1-0_090089_2019-02-22_final
2019-03-02 10:54:44	ga_ls7e_ard_3-1-0_107074_2019-03-02_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-11 09:13:47	ga_ls7e_ard_3-1-0_090085_2019-03-10_final
2019-03-18 10:52:37	ga_ls7e_ard_3-1-0_107070_2019-03-18_final
2019-03-28 11:33:21	ga_ls7e_ard_3-1-0_113080_2019-03-28_final
2019-05-24 11:26:39	ga_ls7e_ard_3-1-0_112084_2019-05-24_final
2019-08-24 10:06:56	ga_ls7e_ard_3-1-0_100079_2019-08-24_final
2019-09-14 10:25:46	ga_ls7e_ard_3-1-0_103082_2019-09-14_final
2019-09-18 09:56:05	ga_ls7e_ard_3-1-0_099070_2019-09-18_final
2019-09-19 09:06:48	ga_ls7e_ard_3-1-0_090086_2019-09-18_final
2019-09-19 09:08:24	ga_ls7e_ard_3-1-0_090090_2019-09-18_final
2019-09-25 10:07:08	ga_ls7e_ard_3-1-0_100083_2019-09-25_final
2019-09-29 11:20:44	ga_ls7e_ard_3-1-0_112082_2019-09-29_final
2019-10-12 10:44:54	ga_ls7e_ard_3-1-0_107071_2019-10-12_final
2019-10-15 11:20:28	ga_ls7e_ard_3-1-0_112083_2019-10-15_final
2019-10-20 09:59:55	ga_ls7e_ard_3-1-0_099083_2019-10-20_final
2019-10-28 10:45:01	ga_ls7e_ard_3-1-0_107073_2019-10-28_final
2019-11-01 10:21:43	ga_ls7e_ard_3-1-0_103077_2019-11-01_final
2019-11-06 09:03:09	ga_ls7e_ard_3-1-0_090082_2019-11-05_final
2019-11-07 11:22:27	ga_ls7e_ard_3-1-0_113075_2019-11-07_final
2019-11-18 09:27:19	ga_ls7e_ard_3-1-0_094082_2019-11-17_final
2019-11-22 09:01:36	ga_ls7e_ard_3-1-0_090080_2019-11-21_final
2019-12-02 11:17:53	ga_ls7e_ard_3-1-0_112082_2019-12-02_final
2019-12-04 09:26:09	ga_ls7e_ard_3-1-0_094081_2019-12-03_final
2019-12-07 09:57:42	ga_ls7e_ard_3-1-0_099083_2019-12-07_final
2019-12-19 10:20:37	ga_ls7e_ard_3-1-0_103080_2019-12-19_final
2019-12-26 10:26:26	ga_ls7e_ard_3-1-0_104080_2019-12-26_final
2019-12-31 10:45:06	ga_ls7e_ard_3-1-0_107081_2019-12-31_final
2020-01-05 09:21:43	ga_ls7e_ard_3-1-0_094074_2020-01-04_final
2020-01-10 11:22:28	ga_ls7e_ard_3-1-0_113083_2020-01-10_final
2020-01-15 09:57:54	ga_ls7e_ard_3-1-0_100073_2020-01-15_final
2020-01-16 10:43:30	ga_ls7e_ard_3-1-0_107079_2020-01-16_final
2020-02-09 09:53:39	ga_ls7e_ard_3-1-0_099081_2020-02-09_final
2020-02-09 09:54:51	ga_ls7e_ard_3-1-0_099084_2020-02-09_final
2020-02-15 09:14:16	ga_ls7e_ard_3-1-0_093076_2020-02-14_final
2020-02-25 09:50:25	ga_ls7e_ard_3-1-0_099075_2020-02-25_final
2020-03-08 10:12:30	ga_ls7e_ard_3-1-0_103070_2020-03-08_final
2020-03-13 08:57:53	ga_ls7e_ard_3-1-0_090085_2020-03-12_final
2020-03-13 08:58:17	ga_ls7e_ard_3-1-0_090086_2020-03-12_final
2020-03-14 11:15:58	ga_ls7e_ard_3-1-0_113075_2020-03-14_final
2020-03-15 10:17:54	ga_ls7e_ard_3-1-0_104069_2020-03-15_final
2020-03-19 09:54:33	ga_ls7e_ard_3-1-0_100073_2020-03-19_final
2020-03-19 09:58:33	ga_ls7e_ard_3-1-0_100083_2020-03-19_final
2020-03-28 09:51:52	ga_ls7e_ard_3-1-0_099083_2020-03-28_final
2020-04-03 09:11:15	ga_ls7e_ard_3-1-0_093075_2020-04-02_final
2020-04-08 11:11:35	ga_ls7e_ard_3-1-0_112083_2020-04-08_final
2020-04-21 10:40:19	ga_ls7e_ard_3-1-0_107084_2020-04-21_final
2020-04-30 08:52:44	ga_ls7e_ard_3-1-0_090079_2020-04-29_final
2022-03-15 10:03:41	ga_ls7e_ard_3-2-1_110083_2022-03-15_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_final
2022-03-20 10:20:32	ga_ls7e_ard_3-2-1_113080_2022-03-20_final
2022-03-20 10:20:56	ga_ls7e_ard_3-2-1_113081_2022-03-20_final
2022-03-27 08:49:11	ga_ls7e_ard_3-2-1_098085_2022-03-26_final
2022-03-29 08:37:02	ga_ls7e_ard_3-2-1_096086_2022-03-28_final
2022-03-31 08:19:17	ga_ls7e_ard_3-2-1_094073_2022-03-30_final
2022-03-31 09:57:46	ga_ls7e_ard_3-2-1_110072_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