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
1999-08-16 11:07:47	ga_ls7e_ard_3-0-0_109077_1999-08-16_final
1999-09-01 11:07:52	ga_ls7e_ard_3-1-0_109077_1999-09-01_final
1999-10-19 11:07:50	ga_ls7e_ard_3-0-0_109077_1999-10-19_final
2000-06-15 11:06:47	ga_ls7e_ard_3-0-0_109077_2000-06-15_final
2000-11-06 11:05:15	ga_ls7e_ard_3-0-0_109077_2000-11-06_final
2001-06-02 11:04:38	ga_ls7e_ard_3-0-0_109077_2001-06-02_final
2001-06-18 11:04:27	ga_ls7e_ard_3-0-0_109077_2001-06-18_final
2001-07-04 11:04:17	ga_ls7e_ard_3-0-0_109077_2001-07-04_final
2001-09-06 11:03:31	ga_ls7e_ard_3-0-0_109077_2001-09-06_final
2003-04-21 11:03:39	ga_ls7e_ard_3-0-0_109077_2003-04-21_final
2004-10-16 11:03:32	ga_ls7e_ard_3-0-0_109077_2004-10-16_final
2006-11-23 11:04:56	ga_ls7e_ard_3-0-0_109077_2006-11-23_final
2007-09-07 11:04:47	ga_ls7e_ard_3-0-0_109077_2007-09-07_final
2008-04-18 11:05:02	ga_ls7e_ard_3-0-0_109077_2008-04-18_final
2009-01-31 11:04:42	ga_ls7e_ard_3-0-0_109077_2009-01-31_final
2009-12-17 11:05:57	ga_ls7e_ard_3-0-0_109077_2009-12-17_final
2010-01-02 11:06:14	ga_ls7e_ard_3-0-0_109077_2010-01-02_final
2010-02-19 11:06:52	ga_ls7e_ard_3-0-0_109077_2010-02-19_final
2010-05-10 11:07:04	ga_ls7e_ard_3-0-0_109077_2010-05-10_final
2010-08-14 11:07:08	ga_ls7e_ard_3-0-0_109077_2010-08-14_final
2011-08-17 11:08:20	ga_ls7e_ard_3-0-0_109077_2011-08-17_final
2011-10-20 11:08:15	ga_ls7e_ard_3-0-0_109077_2011-10-20_final
2012-02-25 11:09:03	ga_ls7e_ard_3-0-0_109077_2012-02-25_final
2012-05-15 11:09:40	ga_ls7e_ard_3-0-0_109077_2012-05-15_final
2012-09-04 11:10:16	ga_ls7e_ard_3-0-0_109077_2012-09-04_final
2013-08-22 11:10:17	ga_ls7e_ard_3-0-0_109077_2013-08-22_final
2013-10-25 11:10:59	ga_ls7e_ard_3-0-0_109077_2013-10-25_final
2013-11-10 11:11:05	ga_ls7e_ard_3-0-0_109077_2013-11-10_final
2014-07-08 11:12:27	ga_ls7e_ard_3-0-0_109077_2014-07-08_final
2014-08-09 11:12:35	ga_ls7e_ard_3-0-0_109077_2014-08-09_final
2014-11-13 11:13:11	ga_ls7e_ard_3-0-0_109077_2014-11-13_final
2017-04-27 11:17:21	ga_ls7e_ard_3-0-0_109077_2017-04-27_final
2017-12-07 11:17:22	ga_ls7e_ard_3-0-0_109077_2017-12-07_final
2018-04-14 11:15:41	ga_ls7e_ard_3-0-0_109077_2018-04-14_final
2018-04-30 11:15:24	ga_ls7e_ard_3-0-0_109077_2018-04-30_final
2018-07-03 11:14:17	ga_ls7e_ard_3-0-0_109077_2018-07-03_final
2018-09-05 11:13:04	ga_ls7e_ard_3-0-0_109077_2018-09-05_final
2018-09-21 11:12:42	ga_ls7e_ard_3-0-0_109077_2018-09-21_final
2019-01-11 11:09:50	ga_ls7e_ard_3-0-0_109077_2019-01-11_final
2019-02-28 11:08:21	ga_ls7e_ard_3-1-0_109077_2019-02-28_final
2019-03-16 11:07:50	ga_ls7e_ard_3-1-0_109077_2019-03-16_final
2019-04-17 11:06:44	ga_ls7e_ard_3-0-0_109077_2019-04-17_final
2019-05-03 11:06:08	ga_ls7e_ard_3-0-0_109077_2019-05-03_final
2019-06-20 11:04:21	ga_ls7e_ard_3-0-0_109077_2019-06-20_final
2019-07-06 11:03:45	ga_ls7e_ard_3-0-0_109077_2019-07-06_final
2019-08-23 11:01:48	ga_ls7e_ard_3-1-0_109077_2019-08-23_final
2019-09-08 11:01:07	ga_ls7e_ard_3-1-0_109077_2019-09-08_final
2019-09-24 11:00:24	ga_ls7e_ard_3-1-0_109077_2019-09-24_final
2019-10-10 10:59:45	ga_ls7e_ard_3-1-0_109077_2019-10-10_final
2019-10-26 10:59:04	ga_ls7e_ard_3-1-0_109077_2019-10-26_final
2019-11-11 10:58:21	ga_ls7e_ard_3-1-0_109077_2019-11-11_final
2019-12-13 10:56:48	ga_ls7e_ard_3-1-0_109077_2019-12-13_final
2019-12-29 10:55:59	ga_ls7e_ard_3-1-0_109077_2019-12-29_final
2020-01-14 10:55:10	ga_ls7e_ard_3-1-0_109077_2020-01-14_final
2020-01-30 10:54:22	ga_ls7e_ard_3-1-0_109077_2020-01-30_final
2020-02-15 10:53:33	ga_ls7e_ard_3-1-0_109077_2020-02-15_final
2020-03-02 10:52:42	ga_ls7e_ard_3-1-0_109077_2020-03-02_final
2020-03-18 10:51:50	ga_ls7e_ard_3-1-0_109077_2020-03-18_final
2020-04-03 10:50:56	ga_ls7e_ard_3-1-0_109077_2020-04-03_final
2020-04-19 10:50:00	ga_ls7e_ard_3-1-0_109077_2020-04-19_final
2020-05-05 10:49:03	ga_ls7e_ard_3-1-0_109077_2020-05-05_final
2020-06-22 10:46:11	ga_ls7e_ard_3-1-0_109077_2020-06-22_final
2020-07-08 10:45:14	ga_ls7e_ard_3-1-0_109077_2020-07-08_final
2020-07-24 10:44:15	ga_ls7e_ard_3-1-0_109077_2020-07-24_final
2020-08-09 10:43:15	ga_ls7e_ard_3-1-0_109077_2020-08-09_final
2020-08-25 10:42:13	ga_ls7e_ard_3-1-0_109077_2020-08-25_final
2020-09-10 10:41:10	ga_ls7e_ard_3-1-0_109077_2020-09-10_final
2020-09-26 10:40:07	ga_ls7e_ard_3-1-0_109077_2020-09-26_final
2020-10-12 10:39:06	ga_ls7e_ard_3-1-0_109077_2020-10-12_final
2020-10-28 10:38:03	ga_ls7e_ard_3-1-0_109077_2020-10-28_final
2020-11-13 10:36:58	ga_ls7e_ard_3-1-0_109077_2020-11-13_final
2020-11-29 10:35:50	ga_ls7e_ard_3-1-0_109077_2020-11-29_final
2020-12-15 10:34:38	ga_ls7e_ard_3-1-0_109077_2020-12-15_final
2020-12-31 10:33:29	ga_ls7e_ard_3-1-0_109077_2020-12-31_final
2021-02-01 10:31:12	ga_ls7e_ard_3-2-0_109077_2021-02-01_final
2021-02-17 10:30:00	ga_ls7e_ard_3-2-0_109077_2021-02-17_final
2021-03-05 10:28:46	ga_ls7e_ard_3-2-0_109077_2021-03-05_final
2021-03-21 10:27:30	ga_ls7e_ard_3-2-0_109077_2021-03-21_final
2021-04-06 10:26:12	ga_ls7e_ard_3-2-0_109077_2021-04-06_final
2021-04-22 10:24:51	ga_ls7e_ard_3-2-0_109077_2021-04-22_final
2021-05-08 10:23:31	ga_ls7e_ard_3-2-0_109077_2021-05-08_final
2021-05-24 10:22:09	ga_ls7e_ard_3-2-0_109077_2021-05-24_final
2021-06-09 10:20:49	ga_ls7e_ard_3-2-0_109077_2021-06-09_final
2021-06-25 10:19:30	ga_ls7e_ard_3-2-0_109077_2021-06-25_final
2021-07-11 10:18:10	ga_ls7e_ard_3-2-0_109077_2021-07-11_final
2021-07-27 10:16:47	ga_ls7e_ard_3-2-0_109077_2021-07-27_final
2021-08-12 10:15:22	ga_ls7e_ard_3-2-0_109077_2021-08-12_final
2021-08-28 10:13:58	ga_ls7e_ard_3-2-0_109077_2021-08-28_final
2021-09-13 10:12:34	ga_ls7e_ard_3-2-0_109077_2021-09-13_final
2021-09-29 10:11:08	ga_ls7e_ard_3-2-0_109077_2021-09-29_final
2021-10-15 10:09:44	ga_ls7e_ard_3-2-0_109077_2021-10-15_final
2021-10-31 10:08:16	ga_ls7e_ard_3-2-0_109077_2021-10-31_final
2021-11-16 10:06:44	ga_ls7e_ard_3-2-1_109077_2021-11-16_final
2021-12-02 10:05:12	ga_ls7e_ard_3-2-1_109077_2021-12-02_final
2021-12-18 10:03:41	ga_ls7e_ard_3-2-1_109077_2021-12-18_final
2022-01-03 10:02:05	ga_ls7e_ard_3-2-1_109077_2022-01-03_final
2022-01-19 10:00:34	ga_ls7e_ard_3-2-1_109077_2022-01-19_final
2022-02-04 09:58:59	ga_ls7e_ard_3-2-1_109077_2022-02-04_final
2022-02-20 09:57:22	ga_ls7e_ard_3-2-1_109077_2022-02-20_final
2022-03-08 09:55:49	ga_ls7e_ard_3-2-1_109077_2022-03-08_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