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
1999-09-13 11:32:30	ga_ls7e_ard_3-1-0_113077_1999-09-13_final
2001-04-11 11:29:45	ga_ls7e_ard_3-0-0_113077_2001-04-11_final
2001-04-27 11:29:43	ga_ls7e_ard_3-0-0_113077_2001-04-27_final
2001-10-20 11:27:57	ga_ls7e_ard_3-0-0_113077_2001-10-20_final
2001-11-05 11:28:02	ga_ls7e_ard_3-0-0_113077_2001-11-05_final
2002-01-08 11:28:23	ga_ls7e_ard_3-0-0_113077_2002-01-08_final
2002-09-21 11:27:25	ga_ls7e_ard_3-0-0_113077_2002-09-21_final
2003-08-23 11:28:02	ga_ls7e_ard_3-0-0_113077_2003-08-23_final
2005-07-27 11:29:03	ga_ls7e_ard_3-0-0_113077_2005-07-27_final
2005-08-12 11:28:59	ga_ls7e_ard_3-0-0_113077_2005-08-12_final
2006-01-03 11:29:25	ga_ls7e_ard_3-0-0_113077_2006-01-03_final
2006-01-19 11:29:33	ga_ls7e_ard_3-0-0_113077_2006-01-19_final
2006-06-28 11:29:34	ga_ls7e_ard_3-0-0_113077_2006-06-28_final
2006-07-14 11:29:27	ga_ls7e_ard_3-0-0_113077_2006-07-14_final
2006-08-15 11:29:19	ga_ls7e_ard_3-0-0_113077_2006-08-15_final
2006-08-31 11:29:16	ga_ls7e_ard_3-0-0_113077_2006-08-31_final
2008-04-14 11:29:46	ga_ls7e_ard_3-0-0_113077_2008-04-14_final
2008-06-01 11:29:31	ga_ls7e_ard_3-0-0_113077_2008-06-01_final
2009-04-17 11:30:00	ga_ls7e_ard_3-0-0_113077_2009-04-17_final
2009-10-10 11:29:41	ga_ls7e_ard_3-0-0_113077_2009-10-10_final
2010-01-14 11:31:08	ga_ls7e_ard_3-0-0_113077_2010-01-14_final
2010-09-11 11:31:56	ga_ls7e_ard_3-0-0_113077_2010-09-11_final
2010-10-29 11:32:09	ga_ls7e_ard_3-1-0_113077_2010-10-29_final
2011-03-22 11:33:12	ga_ls7e_ard_3-0-0_113077_2011-03-22_final
2011-04-07 11:33:16	ga_ls7e_ard_3-0-0_113077_2011-04-07_final
2011-05-09 11:33:15	ga_ls7e_ard_3-0-0_113077_2011-05-09_final
2011-10-16 11:32:55	ga_ls7e_ard_3-0-0_113077_2011-10-16_final
2012-08-15 11:34:47	ga_ls7e_ard_3-0-0_113077_2012-08-15_final
2012-10-02 11:35:15	ga_ls7e_ard_3-0-0_113077_2012-10-02_final
2015-03-17 11:38:37	ga_ls7e_ard_3-0-0_113077_2015-03-17_final
2015-10-11 11:39:46	ga_ls7e_ard_3-0-0_113077_2015-10-11_final
2016-04-20 11:41:57	ga_ls7e_ard_3-0-0_113077_2016-04-20_final
2016-05-22 11:42:05	ga_ls7e_ard_3-0-0_113077_2016-05-22_final
2016-07-09 11:42:12	ga_ls7e_ard_3-0-0_113077_2016-07-09_final
2016-08-10 11:42:16	ga_ls7e_ard_3-0-0_113077_2016-08-10_final
2016-10-13 11:42:24	ga_ls7e_ard_3-0-0_113077_2016-10-13_final
2018-02-05 11:41:16	ga_ls7e_ard_3-0-0_113077_2018-02-05_final
2018-07-15 11:38:46	ga_ls7e_ard_3-0-0_113077_2018-07-15_final
2018-09-01 11:37:52	ga_ls7e_ard_3-0-0_113077_2018-09-01_final
2018-09-17 11:37:31	ga_ls7e_ard_3-0-0_113077_2018-09-17_final
2019-02-24 11:33:12	ga_ls7e_ard_3-1-0_113077_2019-02-24_final
2019-03-12 11:32:42	ga_ls7e_ard_3-1-0_113077_2019-03-12_final
2019-03-28 11:32:09	ga_ls7e_ard_3-1-0_113077_2019-03-28_final
2019-09-04 11:26:01	ga_ls7e_ard_3-1-0_113077_2019-09-04_final
2019-09-20 11:25:18	ga_ls7e_ard_3-1-0_113077_2019-09-20_final
2019-10-06 11:24:38	ga_ls7e_ard_3-1-0_113077_2019-10-06_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-11-07 11:23:15	ga_ls7e_ard_3-1-0_113077_2019-11-07_final
2019-11-23 11:22:30	ga_ls7e_ard_3-1-0_113077_2019-11-23_final
2019-12-09 11:21:43	ga_ls7e_ard_3-1-0_113077_2019-12-09_final
2019-12-25 11:20:54	ga_ls7e_ard_3-1-0_113077_2019-12-25_final
2020-01-10 11:20:04	ga_ls7e_ard_3-1-0_113077_2020-01-10_final
2020-01-26 11:19:17	ga_ls7e_ard_3-1-0_113077_2020-01-26_final
2020-02-11 11:18:29	ga_ls7e_ard_3-1-0_113077_2020-02-11_final
2020-02-27 11:17:38	ga_ls7e_ard_3-1-0_113077_2020-02-27_final
2020-03-14 11:16:46	ga_ls7e_ard_3-1-0_113077_2020-03-14_final
2020-03-30 11:15:53	ga_ls7e_ard_3-1-0_113077_2020-03-30_final
2020-04-15 11:14:58	ga_ls7e_ard_3-1-0_113077_2020-04-15_final
2020-05-01 11:14:01	ga_ls7e_ard_3-1-0_113077_2020-05-01_final
2020-05-17 11:13:02	ga_ls7e_ard_3-1-0_113077_2020-05-17_final
2020-06-18 11:11:08	ga_ls7e_ard_3-1-0_113077_2020-06-18_final
2020-07-04 11:10:11	ga_ls7e_ard_3-1-0_113077_2020-07-04_final
2020-07-20 11:09:13	ga_ls7e_ard_3-1-0_113077_2020-07-20_final
2020-08-05 11:08:13	ga_ls7e_ard_3-1-0_113077_2020-08-05_final
2020-08-21 11:07:12	ga_ls7e_ard_3-1-0_113077_2020-08-21_final
2020-09-06 11:06:09	ga_ls7e_ard_3-1-0_113077_2020-09-06_final
2020-09-22 11:05:05	ga_ls7e_ard_3-1-0_113077_2020-09-22_final
2020-10-08 11:04:05	ga_ls7e_ard_3-1-0_113077_2020-10-08_final
2020-10-24 11:03:02	ga_ls7e_ard_3-1-0_113077_2020-10-24_final
2020-11-09 11:01:57	ga_ls7e_ard_3-1-0_113077_2020-11-09_final
2020-11-25 11:00:50	ga_ls7e_ard_3-1-0_113077_2020-11-25_final
2020-12-11 10:59:39	ga_ls7e_ard_3-1-0_113077_2020-12-11_final
2020-12-27 10:58:28	ga_ls7e_ard_3-1-0_113077_2020-12-27_final
2021-01-12 10:57:22	ga_ls7e_ard_3-1-0_113077_2021-01-12_final
2021-01-28 10:56:13	ga_ls7e_ard_3-2-0_113077_2021-01-28_final
2021-02-13 10:55:02	ga_ls7e_ard_3-2-0_113077_2021-02-13_final
2021-03-17 10:52:33	ga_ls7e_ard_3-2-0_113077_2021-03-17_final
2021-04-02 10:51:15	ga_ls7e_ard_3-2-0_113077_2021-04-02_final
2021-04-18 10:49:55	ga_ls7e_ard_3-2-0_113077_2021-04-18_final
2021-05-04 10:48:34	ga_ls7e_ard_3-2-0_113077_2021-05-04_final
2021-05-20 10:47:13	ga_ls7e_ard_3-2-0_113077_2021-05-20_final
2021-06-05 10:45:52	ga_ls7e_ard_3-2-0_113077_2021-06-05_final
2021-06-21 10:44:33	ga_ls7e_ard_3-2-0_113077_2021-06-21_final
2021-07-07 10:43:13	ga_ls7e_ard_3-2-0_113077_2021-07-07_final
2021-07-23 10:41:51	ga_ls7e_ard_3-2-0_113077_2021-07-23_final
2021-08-08 10:40:26	ga_ls7e_ard_3-2-0_113077_2021-08-08_final
2021-08-24 10:39:02	ga_ls7e_ard_3-2-0_113077_2021-08-24_final
2021-09-09 10:37:39	ga_ls7e_ard_3-2-0_113077_2021-09-09_final
2021-09-25 10:36:13	ga_ls7e_ard_3-2-0_113077_2021-09-25_final
2021-10-11 10:34:48	ga_ls7e_ard_3-2-0_113077_2021-10-11_final
2021-10-27 10:33:22	ga_ls7e_ard_3-2-0_113077_2021-10-27_final
2021-11-12 10:31:51	ga_ls7e_ard_3-2-1_113077_2021-11-12_final
2021-11-28 10:30:18	ga_ls7e_ard_3-2-1_113077_2021-11-28_final
2021-12-14 10:28:47	ga_ls7e_ard_3-2-1_113077_2021-12-14_final
2021-12-30 10:27:13	ga_ls7e_ard_3-2-1_113077_2021-12-30_final
2022-01-15 10:25:40	ga_ls7e_ard_3-2-1_113077_2022-01-15_final
2022-01-31 10:24:07	ga_ls7e_ard_3-2-1_113077_2022-01-31_final
2022-02-16 10:22:28	ga_ls7e_ard_3-2-1_113077_2022-02-16_final
2022-03-04 10:20:56	ga_ls7e_ard_3-2-1_113077_2022-03-04_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_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