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
2003-02-05 11:22:05	ga_ls7e_ard_3-0-0_112077_2003-02-05_final
2004-02-24 11:23:21	ga_ls7e_ard_3-1-0_112079_2004-02-24_final
2004-05-30 11:23:00	ga_ls7e_ard_3-0-0_112078_2004-05-30_final
2004-05-30 11:23:24	ga_ls7e_ard_3-0-0_112079_2004-05-30_final
2004-06-15 11:22:29	ga_ls7e_ard_3-1-0_112077_2004-06-15_final
2004-06-15 11:23:17	ga_ls7e_ard_3-0-0_112079_2004-06-15_final
2004-11-06 11:23:10	ga_ls7e_ard_3-1-0_112079_2004-11-06_final
2005-02-10 11:23:49	ga_ls7e_ard_3-0-0_112079_2005-02-10_final
2005-05-17 11:23:28	ga_ls7e_ard_3-0-0_112078_2005-05-17_final
2005-08-05 11:23:39	ga_ls7e_ard_3-1-0_112079_2005-08-05_final
2006-04-18 11:23:51	ga_ls7e_ard_3-0-0_112078_2006-04-18_final
2006-05-04 11:24:19	ga_ls7e_ard_3-0-0_112079_2006-05-04_final
2006-08-24 11:23:54	ga_ls7e_ard_3-0-0_112079_2006-08-24_final
2006-10-27 11:23:56	ga_ls7e_ard_3-0-0_112079_2006-10-27_final
2007-09-28 11:24:01	ga_ls7e_ard_3-0-0_112079_2007-09-28_final
2007-10-30 11:23:25	ga_ls7e_ard_3-0-0_112077_2007-10-30_final
2009-05-28 11:24:18	ga_ls7e_ard_3-0-0_112078_2009-05-28_final
2010-02-08 11:25:18	ga_ls7e_ard_3-0-0_112077_2010-02-08_final
2010-02-24 11:26:15	ga_ls7e_ard_3-0-0_112079_2010-02-24_final
2010-05-31 11:26:23	ga_ls7e_ard_3-0-0_112079_2010-05-31_final
2010-07-18 11:25:41	ga_ls7e_ard_3-0-0_112077_2010-07-18_final
2010-07-18 11:26:29	ga_ls7e_ard_3-0-0_112079_2010-07-18_final
2010-10-06 11:26:32	ga_ls7e_ard_3-0-0_112079_2010-10-06_final
2011-06-19 11:27:50	ga_ls7e_ard_3-0-0_112079_2011-06-19_final
2011-07-21 11:27:46	ga_ls7e_ard_3-1-0_112079_2011-07-21_final
2011-08-06 11:27:18	ga_ls7e_ard_3-0-0_112078_2011-08-06_final
2012-02-14 11:27:59	ga_ls7e_ard_3-0-0_112078_2012-02-14_final
2012-04-18 11:27:32	ga_ls7e_ard_3-1-0_112077_2012-04-18_final
2012-06-05 11:28:11	ga_ls7e_ard_3-0-0_112078_2012-06-05_final
2012-10-27 11:30:06	ga_ls7e_ard_3-0-0_112079_2012-10-27_final
2013-03-04 11:30:00	ga_ls7e_ard_3-0-0_112078_2013-03-04_final
2014-05-10 11:31:32	ga_ls7e_ard_3-0-0_112079_2014-05-10_final
2014-07-29 11:31:29	ga_ls7e_ard_3-0-0_112078_2014-07-29_final
2015-01-21 11:32:24	ga_ls7e_ard_3-0-0_112078_2015-01-21_final
2016-05-15 11:35:52	ga_ls7e_ard_3-0-0_112077_2016-05-15_final
2016-08-03 11:36:29	ga_ls7e_ard_3-0-0_112078_2016-08-03_final
2016-10-22 11:36:11	ga_ls7e_ard_3-0-0_112077_2016-10-22_final
2017-07-21 11:36:07	ga_ls7e_ard_3-0-0_112077_2017-07-21_final
2017-10-09 11:36:05	ga_ls7e_ard_3-0-0_112077_2017-10-09_final
2018-06-22 11:33:02	ga_ls7e_ard_3-0-0_112077_2018-06-22_final
2018-07-08 11:33:07	ga_ls7e_ard_3-0-0_112078_2018-07-08_final
2018-10-28 11:30:47	ga_ls7e_ard_3-0-0_112078_2018-10-28_final
2020-03-07 11:11:22	ga_ls7e_ard_3-1-0_112078_2020-03-07_final
2020-05-26 11:06:41	ga_ls7e_ard_3-1-0_112078_2020-05-26_final
2020-07-29 11:02:52	ga_ls7e_ard_3-1-0_112078_2020-07-29_final
2021-07-18 10:24:32	ga_ls7e_ard_3-2-0_110079_2021-07-18_final
2021-07-22 09:59:28	ga_ls7e_ard_3-2-0_106079_2021-07-22_final
2021-07-25 08:50:50	ga_ls7e_ard_3-2-0_095078_2021-07-24_final
2021-07-25 08:51:14	ga_ls7e_ard_3-2-0_095079_2021-07-24_final
2021-07-26 09:31:37	ga_ls7e_ard_3-2-0_102072_2021-07-26_final
2021-08-01 08:56:00	ga_ls7e_ard_3-2-0_096077_2021-07-31_final
2021-08-07 09:57:40	ga_ls7e_ard_3-2-0_106078_2021-08-07_final
2021-08-10 08:49:49	ga_ls7e_ard_3-2-0_095079_2021-08-09_final
2021-08-15 09:06:19	ga_ls7e_ard_3-2-0_098075_2021-08-14_final
2021-08-17 08:52:59	ga_ls7e_ard_3-2-0_096073_2021-08-16_final
2021-08-17 10:33:27	ga_ls7e_ard_3-2-0_112077_2021-08-17_final
2021-08-21 08:30:19	ga_ls7e_ard_3-2-0_092079_2021-08-20_final
2021-08-23 08:18:11	ga_ls7e_ard_3-2-0_090080_2021-08-22_final
2021-08-25 09:41:44	ga_ls7e_ard_3-2-0_104073_2021-08-25_final
2021-08-25 09:44:56	ga_ls7e_ard_3-2-0_104081_2021-08-25_final
2021-08-27 09:31:36	ga_ls7e_ard_3-2-0_102079_2021-08-27_final
2021-08-28 08:35:53	ga_ls7e_ard_3-2-0_093079_2021-08-27_final
2021-08-30 08:22:58	ga_ls7e_ard_3-2-0_091078_2021-08-29_final
2021-08-31 10:45:25	ga_ls7e_ard_3-2-0_114079_2021-08-31_final
2021-09-02 08:52:00	ga_ls7e_ard_3-2-0_096074_2021-09-01_final
2021-09-04 08:40:16	ga_ls7e_ard_3-2-0_094076_2021-09-03_final
2021-09-15 10:02:02	ga_ls7e_ard_3-2-0_107082_2021-09-15_final
2021-09-18 10:31:04	ga_ls7e_ard_3-2-0_112078_2021-09-18_final
2021-09-18 10:31:28	ga_ls7e_ard_3-2-0_112079_2021-09-18_final
2021-10-01 09:59:00	ga_ls7e_ard_3-2-0_107078_2021-10-01_final
2021-10-06 08:37:02	ga_ls7e_ard_3-2-0_094075_2021-10-05_final
2021-10-14 09:26:58	ga_ls7e_ard_3-2-0_102078_2021-10-13_final
2021-10-15 10:11:20	ga_ls7e_ard_3-2-0_109081_2021-10-15_final
2021-10-16 09:15:13	ga_ls7e_ard_3-2-0_100080_2021-10-15_final
2021-10-29 08:42:20	ga_ls7e_ard_3-2-0_095078_2021-10-28_final
2021-10-29 10:21:37	ga_ls7e_ard_3-2-0_111079_2021-10-29_final
2021-11-05 10:27:08	ga_ls7e_ard_3-2-0_112079_2021-11-05_final
2021-11-07 08:35:43	ga_ls7e_ard_3-2-0_094079_2021-11-06_final
2021-11-30 10:18:33	ga_ls7e_ard_3-2-1_111079_2021-11-30_final
2021-12-07 08:44:00	ga_ls7e_ard_3-2-1_096076_2021-12-06_final
2021-12-09 08:32:15	ga_ls7e_ard_3-2-1_094078_2021-12-08_final
2021-12-18 08:25:36	ga_ls7e_ard_3-2-1_093079_2021-12-17_final
2022-01-01 08:36:10	ga_ls7e_ard_3-2-1_095078_2021-12-31_final
2022-01-08 08:41:40	ga_ls7e_ard_3-2-1_096078_2022-01-07_final
2022-01-10 10:08:24	ga_ls7e_ard_3-2-1_110079_2022-01-10_final
2022-01-15 08:46:00	ga_ls7e_ard_3-2-1_097075_2022-01-14_final
2022-01-21 09:48:25	ga_ls7e_ard_3-2-1_107078_2022-01-21_final
2022-01-28 08:17:02	ga_ls7e_ard_3-2-1_092083_2022-01-27_final
2022-02-02 10:11:57	ga_ls7e_ard_3-2-1_111078_2022-02-02_final
2022-02-09 08:38:32	ga_ls7e_ard_3-2-1_096078_2022-02-08_final
2022-02-10 09:20:30	ga_ls7e_ard_3-2-1_103075_2022-02-09_final
2022-02-27 08:24:00	ga_ls7e_ard_3-2-1_094077_2022-02-26_final
2022-03-01 09:49:56	ga_ls7e_ard_3-2-1_108076_2022-03-01_final
2022-03-04 08:43:15	ga_ls7e_ard_3-2-1_097080_2022-03-03_final
2022-03-12 09:30:42	ga_ls7e_ard_3-2-1_105077_2022-03-12_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-17 08:09:51	ga_ls7e_ard_3-2-1_092077_2022-03-16_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-21 09:25:13	ga_ls7e_ard_3-2-1_104081_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years