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
1999-09-11 10:07:12	ga_ls7e_ard_3-0-0_099080_1999-09-11_final
2001-08-31 10:03:00	ga_ls7e_ard_3-1-0_099080_2001-08-31_final
2002-03-11 10:03:14	ga_ls7e_ard_3-0-0_099080_2002-03-11_final
2002-07-17 10:02:39	ga_ls7e_ard_3-1-0_099080_2002-07-17_final
2002-12-24 10:02:39	ga_ls7e_ard_3-0-0_099080_2002-12-24_final
2003-05-01 10:03:05	ga_ls7e_ard_3-0-0_099080_2003-05-01_final
2003-07-20 10:02:51	ga_ls7e_ard_3-0-0_099080_2003-07-20_final
2004-01-28 10:03:23	ga_ls7e_ard_3-0-0_099080_2004-01-28_final
2004-08-23 10:03:06	ga_ls7e_ard_3-0-0_099080_2004-08-23_final
2005-01-30 10:03:45	ga_ls7e_ard_3-0-0_099080_2005-01-30_final
2005-11-14 10:03:48	ga_ls7e_ard_3-0-0_099080_2005-11-14_final
2006-01-17 10:04:13	ga_ls7e_ard_3-0-0_099080_2006-01-17_final
2006-04-23 10:04:20	ga_ls7e_ard_3-0-0_099080_2006-04-23_final
2006-12-03 10:04:25	ga_ls7e_ard_3-0-0_099080_2006-12-03_final
2007-05-28 10:04:35	ga_ls7e_ard_3-0-0_099080_2007-05-28_final
2007-08-16 10:04:21	ga_ls7e_ard_3-0-0_099080_2007-08-16_final
2008-01-07 10:04:40	ga_ls7e_ard_3-0-0_099080_2008-01-07_final
2008-06-15 10:04:03	ga_ls7e_ard_3-0-0_099080_2008-06-15_final
2008-10-21 10:03:05	ga_ls7e_ard_3-0-0_099080_2008-10-21_final
2009-03-30 10:04:34	ga_ls7e_ard_3-0-0_099080_2009-03-30_final
2009-05-01 10:04:43	ga_ls7e_ard_3-0-0_099080_2009-05-01_final
2010-08-08 10:06:31	ga_ls7e_ard_3-0-0_099080_2010-08-08_final
2010-11-12 10:07:00	ga_ls7e_ard_3-0-0_099080_2010-11-12_final
2010-12-14 10:07:20	ga_ls7e_ard_3-0-0_099080_2010-12-14_final
2011-05-23 10:07:54	ga_ls7e_ard_3-0-0_099080_2011-05-23_final
2012-06-10 10:08:41	ga_ls7e_ard_3-0-0_099080_2012-06-10_final
2012-07-12 10:09:03	ga_ls7e_ard_3-0-0_099080_2012-07-12_final
2012-12-19 10:10:26	ga_ls7e_ard_3-0-0_099080_2012-12-19_final
2013-04-10 10:10:21	ga_ls7e_ard_3-0-0_099080_2013-04-10_final
2013-11-04 10:10:26	ga_ls7e_ard_3-0-0_099080_2013-11-04_final
2014-03-12 10:11:08	ga_ls7e_ard_3-0-0_099080_2014-03-12_final
2014-04-29 10:11:32	ga_ls7e_ard_3-0-0_099080_2014-04-29_final
2014-05-31 10:11:42	ga_ls7e_ard_3-0-0_099080_2014-05-31_final
2014-12-09 10:12:42	ga_ls7e_ard_3-0-0_099080_2014-12-09_final
2015-03-15 10:13:16	ga_ls7e_ard_3-0-0_099080_2015-03-15_final
2017-03-04 10:16:25	ga_ls7e_ard_3-0-0_099080_2017-03-04_final
2018-01-18 10:16:14	ga_ls7e_ard_3-0-0_099080_2018-01-18_final
2018-03-07 10:15:37	ga_ls7e_ard_3-0-0_099080_2018-03-07_final
2018-03-23 10:15:25	ga_ls7e_ard_3-0-0_099080_2018-03-23_final
2018-05-10 10:14:37	ga_ls7e_ard_3-0-0_099080_2018-05-10_final
2019-02-22 10:07:56	ga_ls7e_ard_3-1-0_099080_2019-02-22_final
2019-03-10 10:07:26	ga_ls7e_ard_3-1-0_099080_2019-03-10_final
2019-03-26 10:06:54	ga_ls7e_ard_3-1-0_099080_2019-03-26_final
2019-06-14 10:03:58	ga_ls7e_ard_3-0-0_099080_2019-06-14_final
2019-06-30 10:03:23	ga_ls7e_ard_3-0-0_099080_2019-06-30_final
2019-09-02 10:00:46	ga_ls7e_ard_3-1-0_099080_2019-09-02_final
2019-09-18 10:00:04	ga_ls7e_ard_3-1-0_099080_2019-09-18_final
2019-10-04 09:59:23	ga_ls7e_ard_3-1-0_099080_2019-10-04_final
2019-10-20 09:58:43	ga_ls7e_ard_3-1-0_099080_2019-10-20_final
2019-11-05 09:58:01	ga_ls7e_ard_3-1-0_099080_2019-11-05_final
2019-11-21 09:57:16	ga_ls7e_ard_3-1-0_099080_2019-11-21_final
2019-12-07 09:56:30	ga_ls7e_ard_3-1-0_099080_2019-12-07_final
2019-12-23 09:55:41	ga_ls7e_ard_3-1-0_099080_2019-12-23_final
2020-01-08 09:54:51	ga_ls7e_ard_3-1-0_099080_2020-01-08_final
2020-01-24 09:54:04	ga_ls7e_ard_3-1-0_099080_2020-01-24_final
2020-02-09 09:53:15	ga_ls7e_ard_3-1-0_099080_2020-02-09_final
2020-02-25 09:52:25	ga_ls7e_ard_3-1-0_099080_2020-02-25_final
2020-03-12 09:51:33	ga_ls7e_ard_3-1-0_099080_2020-03-12_final
2020-03-28 09:50:40	ga_ls7e_ard_3-1-0_099080_2020-03-28_final
2020-04-13 09:49:45	ga_ls7e_ard_3-1-0_099080_2020-04-13_final
2020-04-29 09:48:49	ga_ls7e_ard_3-1-0_099080_2020-04-29_final
2020-05-15 09:47:50	ga_ls7e_ard_3-1-0_099080_2020-05-15_final
2020-06-16 09:45:56	ga_ls7e_ard_3-1-0_099080_2020-06-16_final
2020-07-02 09:44:59	ga_ls7e_ard_3-1-0_099080_2020-07-02_final
2020-07-18 09:44:01	ga_ls7e_ard_3-1-0_099080_2020-07-18_final
2020-08-03 09:43:01	ga_ls7e_ard_3-1-0_099080_2020-08-03_final
2020-08-19 09:42:00	ga_ls7e_ard_3-1-0_099080_2020-08-19_final
2020-09-04 09:40:58	ga_ls7e_ard_3-1-0_099080_2020-09-04_final
2020-09-20 09:39:54	ga_ls7e_ard_3-1-0_099080_2020-09-20_final
2020-10-22 09:37:51	ga_ls7e_ard_3-1-0_099080_2020-10-22_final
2020-11-07 09:36:46	ga_ls7e_ard_3-1-0_099080_2020-11-07_final
2020-11-23 09:35:39	ga_ls7e_ard_3-1-0_099080_2020-11-23_final
2020-12-09 09:34:29	ga_ls7e_ard_3-1-0_099080_2020-12-09_final
2020-12-25 09:33:17	ga_ls7e_ard_3-1-0_099080_2020-12-25_final
2021-01-10 09:32:11	ga_ls7e_ard_3-1-0_099080_2021-01-10_final
2021-01-26 09:31:02	ga_ls7e_ard_3-2-0_099080_2021-01-26_final
2021-02-27 09:28:38	ga_ls7e_ard_3-2-0_099080_2021-02-26_final
2021-03-15 09:27:23	ga_ls7e_ard_3-2-0_099080_2021-03-14_final
2021-03-31 09:26:05	ga_ls7e_ard_3-2-0_099080_2021-03-30_final
2021-04-16 09:24:46	ga_ls7e_ard_3-2-0_099080_2021-04-15_final
2021-05-02 09:23:25	ga_ls7e_ard_3-2-0_099080_2021-05-01_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-06-03 09:20:42	ga_ls7e_ard_3-2-0_099080_2021-06-02_final
2021-06-19 09:19:24	ga_ls7e_ard_3-2-0_099080_2021-06-18_final
2021-07-05 09:18:04	ga_ls7e_ard_3-2-0_099080_2021-07-04_final
2021-07-21 09:16:42	ga_ls7e_ard_3-2-0_099080_2021-07-20_final
2021-08-06 09:15:18	ga_ls7e_ard_3-2-0_099080_2021-08-05_final
2021-08-22 09:13:53	ga_ls7e_ard_3-2-0_099080_2021-08-21_final
2021-09-07 09:12:30	ga_ls7e_ard_3-2-0_099080_2021-09-06_final
2021-09-23 09:11:05	ga_ls7e_ard_3-2-0_099080_2021-09-22_final
2021-10-09 09:09:40	ga_ls7e_ard_3-2-0_099080_2021-10-08_final
2021-11-10 09:06:43	ga_ls7e_ard_3-2-0_099080_2021-11-09_final
2021-11-26 09:05:10	ga_ls7e_ard_3-2-1_099080_2021-11-25_final
2021-12-12 09:03:40	ga_ls7e_ard_3-2-1_099080_2021-12-11_final
2021-12-28 09:02:06	ga_ls7e_ard_3-2-1_099080_2021-12-27_final
2022-01-13 09:00:32	ga_ls7e_ard_3-2-1_099080_2022-01-12_final
2022-01-29 08:58:59	ga_ls7e_ard_3-2-1_099080_2022-01-28_final
2022-02-14 08:57:21	ga_ls7e_ard_3-2-1_099080_2022-02-13_final
2022-03-02 08:55:49	ga_ls7e_ard_3-2-1_099080_2022-03-01_final
2022-03-18 08:54:12	ga_ls7e_ard_3-2-1_099080_2022-03-17_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