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 09:30:06	ga_ls7e_ard_3-1-0_093080_1999-08-16_final
1999-09-17 09:30:04	ga_ls7e_ard_3-1-0_093080_1999-09-17_final
1999-11-04 09:30:06	ga_ls7e_ard_3-1-0_093080_1999-11-04_final
1999-12-06 09:30:07	ga_ls7e_ard_3-1-0_093080_1999-12-06_final
2001-01-09 09:27:41	ga_ls7e_ard_3-0-0_093080_2001-01-08_final
2002-02-13 09:26:09	ga_ls7e_ard_3-0-0_093080_2002-02-12_final
2002-10-27 09:25:01	ga_ls7e_ard_3-0-0_093080_2002-10-26_final
2005-03-25 09:26:55	ga_ls7e_ard_3-0-0_093080_2005-03-24_final
2005-04-26 09:26:48	ga_ls7e_ard_3-0-0_093080_2005-04-25_final
2005-05-28 09:26:49	ga_ls7e_ard_3-0-0_093080_2005-05-27_final
2005-10-03 09:26:18	ga_ls7e_ard_3-0-0_093080_2005-10-02_final
2005-12-06 09:26:50	ga_ls7e_ard_3-0-0_093080_2005-12-05_final
2006-01-23 09:27:11	ga_ls7e_ard_3-0-0_093080_2006-01-22_final
2006-06-16 09:27:14	ga_ls7e_ard_3-0-0_093080_2006-06-15_final
2006-08-03 09:26:55	ga_ls7e_ard_3-1-0_093080_2006-08-02_final
2008-02-14 09:27:31	ga_ls7e_ard_3-0-0_093080_2008-02-13_final
2008-03-01 09:27:26	ga_ls7e_ard_3-1-0_093080_2008-02-29_final
2008-08-08 09:26:26	ga_ls7e_ard_3-0-0_093080_2008-08-07_final
2010-10-01 09:29:26	ga_ls7e_ard_3-1-0_093080_2010-09-30_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2011-02-06 09:30:39	ga_ls7e_ard_3-0-0_093080_2011-02-06_final
2011-03-10 09:30:47	ga_ls7e_ard_3-0-0_093080_2011-03-10_final
2011-03-26 09:30:49	ga_ls7e_ard_3-0-0_093080_2011-03-26_final
2012-03-28 09:31:21	ga_ls7e_ard_3-0-0_093080_2012-03-28_final
2012-05-31 09:31:41	ga_ls7e_ard_3-0-0_093080_2012-05-31_final
2013-02-11 09:33:27	ga_ls7e_ard_3-0-0_093080_2013-02-11_final
2013-04-16 09:33:13	ga_ls7e_ard_3-0-0_093080_2013-04-16_final
2013-05-02 09:33:09	ga_ls7e_ard_3-0-0_093080_2013-05-02_final
2013-06-03 09:32:57	ga_ls7e_ard_3-0-0_093080_2013-06-03_final
2013-07-05 09:32:43	ga_ls7e_ard_3-0-0_093080_2013-07-05_final
2013-10-25 09:33:18	ga_ls7e_ard_3-0-0_093080_2013-10-25_final
2015-05-24 09:36:42	ga_ls7e_ard_3-0-0_093080_2015-05-24_final
2015-07-27 09:36:59	ga_ls7e_ard_3-0-0_093080_2015-07-27_final
2015-11-16 09:37:58	ga_ls7e_ard_3-0-0_093080_2015-11-16_final
2015-12-02 09:38:09	ga_ls7e_ard_3-0-0_093080_2015-12-02_final
2016-01-19 09:38:55	ga_ls7e_ard_3-0-0_093080_2016-01-19_final
2016-03-23 09:39:22	ga_ls7e_ard_3-0-0_093080_2016-03-23_final
2016-05-26 09:39:42	ga_ls7e_ard_3-0-0_093080_2016-05-26_final
2018-02-09 09:38:48	ga_ls7e_ard_3-0-0_093080_2018-02-09_final
2018-04-14 09:38:00	ga_ls7e_ard_3-0-0_093080_2018-04-14_final
2018-04-30 09:37:43	ga_ls7e_ard_3-0-0_093080_2018-04-30_final
2018-07-19 09:36:18	ga_ls7e_ard_3-0-0_093080_2018-07-19_final
2018-08-04 09:36:01	ga_ls7e_ard_3-0-0_093080_2018-08-04_final
2018-10-07 09:34:38	ga_ls7e_ard_3-0-0_093080_2018-10-07_final
2018-10-23 09:34:16	ga_ls7e_ard_3-0-0_093080_2018-10-23_final
2019-02-28 09:30:40	ga_ls7e_ard_3-1-0_093080_2019-02-28_final
2019-03-16 09:30:09	ga_ls7e_ard_3-1-0_093080_2019-03-16_final
2019-09-08 09:23:26	ga_ls7e_ard_3-1-0_093080_2019-09-07_final
2019-09-24 09:22:43	ga_ls7e_ard_3-1-0_093080_2019-09-23_final
2019-10-10 09:22:04	ga_ls7e_ard_3-1-0_093080_2019-10-09_final
2019-10-26 09:21:23	ga_ls7e_ard_3-1-0_093080_2019-10-25_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-12-13 09:19:07	ga_ls7e_ard_3-1-0_093080_2019-12-12_final
2019-12-29 09:18:18	ga_ls7e_ard_3-1-0_093080_2019-12-28_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-01-30 09:16:41	ga_ls7e_ard_3-1-0_093080_2020-01-29_final
2020-02-15 09:15:52	ga_ls7e_ard_3-1-0_093080_2020-02-14_final
2020-03-02 09:15:01	ga_ls7e_ard_3-1-0_093080_2020-03-01_final
2020-03-18 09:14:09	ga_ls7e_ard_3-1-0_093080_2020-03-17_final
2020-04-19 09:12:19	ga_ls7e_ard_3-1-0_093080_2020-04-18_final
2020-05-05 09:11:22	ga_ls7e_ard_3-1-0_093080_2020-05-04_final
2020-06-22 09:08:30	ga_ls7e_ard_3-1-0_093080_2020-06-21_final
2020-07-08 09:07:33	ga_ls7e_ard_3-1-0_093080_2020-07-07_final
2020-07-24 09:06:34	ga_ls7e_ard_3-1-0_093080_2020-07-23_final
2020-08-25 09:04:32	ga_ls7e_ard_3-1-0_093080_2020-08-24_final
2020-09-10 09:03:29	ga_ls7e_ard_3-1-0_093080_2020-09-09_final
2020-09-26 09:02:26	ga_ls7e_ard_3-1-0_093080_2020-09-25_final
2020-10-12 09:01:25	ga_ls7e_ard_3-1-0_093080_2020-10-11_final
2020-10-28 09:00:22	ga_ls7e_ard_3-1-0_093080_2020-10-27_final
2020-11-13 08:59:17	ga_ls7e_ard_3-1-0_093080_2020-11-12_final
2020-11-29 08:58:09	ga_ls7e_ard_3-1-0_093080_2020-11-28_final
2020-12-15 08:56:57	ga_ls7e_ard_3-1-0_093080_2020-12-14_final
2020-12-31 08:55:48	ga_ls7e_ard_3-1-0_093080_2020-12-30_final
2021-01-16 08:54:40	ga_ls7e_ard_3-1-0_093080_2021-01-15_final
2021-02-01 08:53:31	ga_ls7e_ard_3-2-0_093080_2021-01-31_final
2021-02-17 08:52:19	ga_ls7e_ard_3-2-0_093080_2021-02-16_final
2021-03-05 08:51:06	ga_ls7e_ard_3-2-0_093080_2021-03-04_final
2021-03-21 08:49:49	ga_ls7e_ard_3-2-0_093080_2021-03-20_final
2021-04-06 08:48:31	ga_ls7e_ard_3-2-0_093080_2021-04-05_final
2021-04-22 08:47:10	ga_ls7e_ard_3-2-0_093080_2021-04-21_final
2021-05-08 08:45:50	ga_ls7e_ard_3-2-0_093080_2021-05-07_final
2021-05-24 08:44:29	ga_ls7e_ard_3-2-0_093080_2021-05-23_final
2021-06-09 08:43:08	ga_ls7e_ard_3-2-0_093080_2021-06-08_final
2021-06-25 08:41:50	ga_ls7e_ard_3-2-0_093080_2021-06-24_final
2021-07-11 08:40:29	ga_ls7e_ard_3-2-0_093080_2021-07-10_final
2021-07-27 08:39:06	ga_ls7e_ard_3-2-0_093080_2021-07-26_final
2021-08-12 08:37:41	ga_ls7e_ard_3-2-0_093080_2021-08-11_final
2021-08-28 08:36:17	ga_ls7e_ard_3-2-0_093080_2021-08-27_final
2021-09-13 08:34:53	ga_ls7e_ard_3-2-0_093080_2021-09-12_final
2021-09-29 08:33:27	ga_ls7e_ard_3-2-0_093080_2021-09-28_final
2021-10-15 08:32:03	ga_ls7e_ard_3-2-0_093080_2021-10-14_final
2021-10-31 08:30:35	ga_ls7e_ard_3-2-0_093080_2021-10-30_final
2021-11-16 08:29:03	ga_ls7e_ard_3-2-1_093080_2021-11-15_final
2021-12-02 08:27:32	ga_ls7e_ard_3-2-1_093080_2021-12-01_final
2021-12-18 08:26:00	ga_ls7e_ard_3-2-1_093080_2021-12-17_final
2022-01-03 08:24:24	ga_ls7e_ard_3-2-1_093080_2022-01-02_final
2022-02-04 08:21:19	ga_ls7e_ard_3-2-1_093080_2022-02-03_final
2022-02-20 08:19:41	ga_ls7e_ard_3-2-1_093080_2022-02-19_final
2022-03-08 08:18:09	ga_ls7e_ard_3-2-1_093080_2022-03-07_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