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
1999-10-01 09:41:25	ga_ls7e_ard_3-0-0_095077_1999-10-01_final
1999-10-17 09:42:33	ga_ls7e_ard_3-0-0_095080_1999-10-17_final
2000-03-09 09:44:57	ga_ls7e_ard_3-0-0_095087_2000-03-09_final
2000-05-12 09:43:19	ga_ls7e_ard_3-0-0_095084_2000-05-12_final
2000-05-28 09:42:45	ga_ls7e_ard_3-0-0_095083_2000-05-28_final
2000-11-20 09:38:19	ga_ls7e_ard_3-0-0_095076_2000-11-20_final
2001-04-13 09:40:55	ga_ls7e_ard_3-0-0_095083_2001-04-13_final
2001-06-16 09:39:10	ga_ls7e_ard_3-0-0_095080_2001-06-16_final
2002-12-28 09:39:32	ga_ls7e_ard_3-0-0_095084_2002-12-28_final
2003-02-14 09:41:04	ga_ls7e_ard_3-0-0_095087_2003-02-14_final
2003-04-03 09:38:44	ga_ls7e_ard_3-0-0_095081_2003-04-03_final
2003-11-13 09:39:44	ga_ls7e_ard_3-0-0_095084_2003-11-13_final
2004-03-20 09:38:28	ga_ls7e_ard_3-1-0_095079_2004-03-20_final
2005-01-18 09:37:48	ga_ls7e_ard_3-0-0_095077_2005-01-18_final
2005-11-02 09:37:45	ga_ls7e_ard_3-0-0_095077_2005-11-02_final
2005-12-04 09:38:48	ga_ls7e_ard_3-1-0_095079_2005-12-04_final
2008-01-11 09:39:09	ga_ls7e_ard_3-0-0_095078_2008-01-11_final
2008-06-19 09:38:54	ga_ls7e_ard_3-1-0_095079_2008-06-19_final
2009-05-21 09:38:02	ga_ls7e_ard_3-0-0_095075_2009-05-21_final
2009-06-22 09:38:25	ga_ls7e_ard_3-0-0_095076_2009-06-22_final
2009-08-09 09:39:47	ga_ls7e_ard_3-0-0_095080_2009-08-09_final
2009-10-12 09:39:16	ga_ls7e_ard_3-1-0_095079_2009-10-12_final
2011-10-02 09:41:39	ga_ls7e_ard_3-0-0_095077_2011-10-02_final
2011-10-18 09:42:30	ga_ls7e_ard_3-1-0_095079_2011-10-18_final
2013-01-24 09:44:59	ga_ls7e_ard_3-0-0_095078_2013-01-24_final
2013-09-05 09:43:08	ga_ls7e_ard_3-0-0_095075_2013-09-05_final
2014-02-12 09:44:49	ga_ls7e_ard_3-0-0_095076_2014-02-12_final
2014-08-07 09:45:15	ga_ls7e_ard_3-0-0_095075_2014-08-07_final
2014-08-07 09:46:03	ga_ls7e_ard_3-0-0_095077_2014-08-07_final
2014-12-13 09:47:15	ga_ls7e_ard_3-0-0_095078_2014-12-13_final
2015-05-22 09:48:15	ga_ls7e_ard_3-0-0_095078_2015-05-22_final
2015-07-09 09:47:18	ga_ls7e_ard_3-0-0_095075_2015-07-09_final
2015-07-09 09:47:42	ga_ls7e_ard_3-0-0_095076_2015-07-09_final
2015-08-10 09:49:25	ga_ls7e_ard_3-0-0_095080_2015-08-10_final
2015-10-13 09:50:09	ga_ls7e_ard_3-0-0_095081_2015-10-13_final
2015-11-14 09:50:17	ga_ls7e_ard_3-0-0_095080_2015-11-14_final
2015-11-14 09:50:41	ga_ls7e_ard_3-0-0_095081_2015-11-14_final
2015-12-16 09:52:23	ga_ls7e_ard_3-0-0_095084_2015-12-16_final
2016-01-17 09:49:15	ga_ls7e_ard_3-0-0_095075_2016-01-17_final
2016-04-06 09:50:10	ga_ls7e_ard_3-0-0_095076_2016-04-06_final
2016-04-22 09:50:19	ga_ls7e_ard_3-0-0_095076_2016-04-22_final
2016-07-27 09:52:36	ga_ls7e_ard_3-0-0_095081_2016-07-27_final
2017-01-03 09:51:28	ga_ls7e_ard_3-1-0_095079_2017-01-03_final
2018-01-06 09:51:18	ga_ls7e_ard_3-1-0_095079_2018-01-06_final
2018-01-22 09:49:52	ga_ls7e_ard_3-0-0_095076_2018-01-22_final
2018-02-23 09:50:14	ga_ls7e_ard_3-0-0_095078_2018-02-23_final
2018-04-28 09:52:06	ga_ls7e_ard_3-0-0_095085_2018-04-28_final
2018-10-05 09:45:27	ga_ls7e_ard_3-0-0_095076_2018-10-05_final
2019-06-02 09:39:17	ga_ls7e_ard_3-1-0_095079_2019-06-02_final
2020-04-17 09:24:00	ga_ls7e_ard_3-1-0_095078_2020-04-16_final
2020-08-07 09:20:27	ga_ls7e_ard_3-1-0_095086_2020-08-06_final
2020-10-10 09:14:18	ga_ls7e_ard_3-1-0_095081_2020-10-09_final
2021-01-21 09:11:16	ga_ls7e_ard_3-2-0_096076_2021-01-20_final
2021-02-08 08:57:59	ga_ls7e_ard_3-2-0_094077_2021-02-07_final
2021-02-14 10:00:08	ga_ls7e_ard_3-2-0_104079_2021-02-14_final
2021-03-03 09:03:13	ga_ls7e_ard_3-2-0_095079_2021-03-02_final
2021-03-17 09:15:40	ga_ls7e_ard_3-2-0_097082_2021-03-16_final
2021-03-31 09:23:42	ga_ls7e_ard_3-2-0_099074_2021-03-30_final
2021-04-03 09:53:09	ga_ls7e_ard_3-2-0_104071_2021-04-03_final
2021-04-08 08:37:11	ga_ls7e_ard_3-2-0_091083_2021-04-07_final
2021-04-08 10:11:41	ga_ls7e_ard_3-2-0_107072_2021-04-08_final
2021-04-10 10:01:57	ga_ls7e_ard_3-2-0_105079_2021-04-10_final
2021-04-15 10:17:16	ga_ls7e_ard_3-2-0_108072_2021-04-15_final
2021-04-18 09:12:38	ga_ls7e_ard_3-2-0_097081_2021-04-17_final
2021-04-27 09:04:05	ga_ls7e_ard_3-2-0_096077_2021-04-26_final
2021-04-29 08:54:21	ga_ls7e_ard_3-2-0_094084_2021-04-28_final
2021-05-15 08:49:50	ga_ls7e_ard_3-2-0_094076_2021-05-14_final
2021-05-27 09:13:07	ga_ls7e_ard_3-2-0_098075_2021-05-26_final
2021-05-29 09:00:11	ga_ls7e_ard_3-2-0_096074_2021-05-28_final
2021-06-02 08:37:07	ga_ls7e_ard_3-2-0_092079_2021-06-01_final
2021-06-08 09:38:26	ga_ls7e_ard_3-2-0_102079_2021-06-08_final
2021-07-22 08:21:48	ga_ls7e_ard_3-2-0_090082_2021-07-21_final
2021-08-13 09:18:27	ga_ls7e_ard_3-2-0_100074_2021-08-12_final
2021-08-21 10:06:24	ga_ls7e_ard_3-2-0_108072_2021-08-21_final
2021-08-23 09:57:51	ga_ls7e_ard_3-2-0_106082_2021-08-23_final
2021-09-02 08:55:12	ga_ls7e_ard_3-2-0_096082_2021-09-01_final
2021-09-03 09:36:22	ga_ls7e_ard_3-2-0_103077_2021-09-03_final
2021-09-15 10:00:50	ga_ls7e_ard_3-2-0_107079_2021-09-15_final
2021-09-24 08:16:10	ga_ls7e_ard_3-2-0_090082_2021-09-23_final
2021-09-27 08:45:12	ga_ls7e_ard_3-2-0_095078_2021-09-26_final
2021-09-29 10:11:56	ga_ls7e_ard_3-2-0_109079_2021-09-29_final
2021-10-04 10:29:38	ga_ls7e_ard_3-2-0_112078_2021-10-04_final
2021-10-04 10:30:02	ga_ls7e_ard_3-2-0_112079_2021-10-04_final
2021-10-15 10:10:56	ga_ls7e_ard_3-2-0_109080_2021-10-15_final
2021-10-23 09:18:22	ga_ls7e_ard_3-2-0_101074_2021-10-22_final
2021-10-24 08:24:15	ga_ls7e_ard_3-2-0_092078_2021-10-23_final
2021-11-25 09:59:16	ga_ls7e_ard_3-2-1_108076_2021-11-25_final
2021-12-13 09:46:02	ga_ls7e_ard_3-2-1_106078_2021-12-13_final
2021-12-18 08:25:36	ga_ls7e_ard_3-2-1_093079_2021-12-17_final
2021-12-27 09:56:13	ga_ls7e_ard_3-2-1_108076_2021-12-27_final
2022-01-01 10:17:26	ga_ls7e_ard_3-2-1_111084_2022-01-01_final
2022-01-05 09:51:31	ga_ls7e_ard_3-2-1_107082_2022-01-05_final
2022-01-12 08:18:34	ga_ls7e_ard_3-2-1_092083_2022-01-11_final
2022-01-22 08:50:42	ga_ls7e_ard_3-2-1_098073_2022-01-21_final
2022-02-05 09:02:28	ga_ls7e_ard_3-2-1_100075_2022-02-04_final
2022-02-06 09:46:25	ga_ls7e_ard_3-2-1_107077_2022-02-06_final
2022-02-08 09:31:52	ga_ls7e_ard_3-2-1_105072_2022-02-08_final
2022-02-12 09:09:55	ga_ls7e_ard_3-2-1_101080_2022-02-11_final
2022-02-23 08:51:06	ga_ls7e_ard_3-2-1_098082_2022-02-22_final
2022-03-20 08:40:04	ga_ls7e_ard_3-2-1_097076_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