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
2000-03-08 10:33:47	ga_ls7e_ard_3-1-0_104070_2000-03-08_final
2000-10-21 09:30:15	ga_ls7e_ard_3-1-0_093087_2000-10-21_final
2001-02-26 09:30:22	ga_ls7e_ard_3-1-0_093087_2001-02-26_final
2001-10-24 09:26:43	ga_ls7e_ard_3-1-0_093083_2001-10-23_final
2003-04-05 09:28:46	ga_ls7e_ard_3-1-0_093087_2003-04-04_final
2003-11-16 10:09:29	ga_ls7e_ard_3-1-0_100081_2003-11-16_final
2004-10-13 10:29:47	ga_ls7e_ard_3-1-0_104070_2004-10-13_final
2005-02-18 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-02-18_final
2006-05-28 10:34:53	ga_ls7e_ard_3-1-0_104079_2006-05-28_final
2006-09-17 10:30:45	ga_ls7e_ard_3-1-0_104070_2006-09-17_final
2006-10-19 10:30:46	ga_ls7e_ard_3-1-0_104070_2006-10-19_final
2006-12-22 10:31:25	ga_ls7e_ard_3-1-0_104070_2006-12-22_final
2008-03-30 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-30_final
2008-06-23 10:50:13	ga_ls7e_ard_3-1-0_107072_2008-06-23_final
2009-03-17 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-03-17_final
2009-11-28 10:31:59	ga_ls7e_ard_3-1-0_104070_2009-11-28_final
2011-02-22 09:31:55	ga_ls7e_ard_3-1-0_093083_2011-02-22_final
2011-05-10 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-05-10_final
2011-05-13 09:30:01	ga_ls7e_ard_3-1-0_093078_2011-05-13_final
2011-07-13 10:34:45	ga_ls7e_ard_3-1-0_104070_2011-07-13_final
2012-06-13 10:35:37	ga_ls7e_ard_3-1-0_104070_2012-06-13_final
2012-09-17 10:36:40	ga_ls7e_ard_3-1-0_104070_2012-09-17_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-01-23 10:41:24	ga_ls7e_ard_3-1-0_104080_2013-01-23_final
2013-12-25 10:37:37	ga_ls7e_ard_3-1-0_104070_2013-12-25_final
2014-03-19 10:17:48	ga_ls7e_ard_3-1-0_100081_2014-03-19_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2014-10-25 10:39:19	ga_ls7e_ard_3-1-0_104070_2014-10-25_final
2014-11-10 10:39:29	ga_ls7e_ard_3-1-0_104070_2014-11-10_final
2015-04-22 09:37:39	ga_ls7e_ard_3-1-0_093083_2015-04-22_final
2015-08-09 10:41:03	ga_ls7e_ard_3-1-0_104070_2015-08-09_final
2015-08-25 10:41:04	ga_ls7e_ard_3-1-0_104070_2015-08-25_final
2015-09-29 09:38:24	ga_ls7e_ard_3-1-0_093083_2015-09-29_final
2015-11-16 09:39:09	ga_ls7e_ard_3-1-0_093083_2015-11-16_final
2015-11-29 10:42:07	ga_ls7e_ard_3-1-0_104070_2015-11-29_final
2016-03-20 10:43:21	ga_ls7e_ard_3-1-0_104070_2016-03-20_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2017-05-10 10:43:42	ga_ls7e_ard_3-1-0_104070_2017-05-10_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2017-06-30 09:41:05	ga_ls7e_ard_3-1-0_093083_2017-06-30_final
2017-12-20 10:45:32	ga_ls7e_ard_3-1-0_104075_2017-12-20_final
2018-01-21 10:45:06	ga_ls7e_ard_3-1-0_104075_2018-01-21_final
2018-03-26 10:42:17	ga_ls7e_ard_3-1-0_104070_2018-03-26_final
2018-04-11 10:45:38	ga_ls7e_ard_3-1-0_104079_2018-04-11_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2018-12-23 10:36:44	ga_ls7e_ard_3-1-0_104070_2018-12-23_final
2019-01-11 09:34:57	ga_ls7e_ard_3-1-0_093087_2019-01-11_final
2019-02-25 10:39:09	ga_ls7e_ard_3-1-0_104081_2019-02-25_final
2019-02-28 09:30:40	ga_ls7e_ard_3-1-0_093080_2019-02-28_final
2019-03-01 10:14:42	ga_ls7e_ard_3-1-0_100082_2019-03-01_final
2019-03-18 10:53:25	ga_ls7e_ard_3-1-0_107072_2019-03-18_final
2019-03-29 10:33:43	ga_ls7e_ard_3-1-0_104070_2019-03-29_final
2019-03-29 10:35:18	ga_ls7e_ard_3-1-0_104074_2019-03-29_final
2019-03-29 10:35:42	ga_ls7e_ard_3-1-0_104075_2019-03-29_final
2019-07-03 10:30:10	ga_ls7e_ard_3-1-0_104070_2019-07-03_final
2019-07-19 10:29:33	ga_ls7e_ard_3-1-0_104070_2019-07-19_final
2019-08-20 10:28:14	ga_ls7e_ard_3-1-0_104070_2019-08-20_final
2019-08-24 10:04:33	ga_ls7e_ard_3-1-0_100073_2019-08-24_final
2019-08-25 10:47:22	ga_ls7e_ard_3-1-0_107072_2019-08-25_final
2019-08-25 10:47:46	ga_ls7e_ard_3-1-0_107073_2019-08-25_final
2019-09-05 10:27:33	ga_ls7e_ard_3-1-0_104070_2019-09-05_final
2019-09-05 10:27:57	ga_ls7e_ard_3-1-0_104071_2019-09-05_final
2019-09-05 10:29:09	ga_ls7e_ard_3-1-0_104074_2019-09-05_final
2019-09-08 09:23:50	ga_ls7e_ard_3-1-0_093081_2019-09-07_final
2019-10-10 09:23:15	ga_ls7e_ard_3-1-0_093083_2019-10-09_final
2019-10-11 10:02:53	ga_ls7e_ard_3-1-0_100074_2019-10-11_final
2019-10-11 10:04:53	ga_ls7e_ard_3-1-0_100079_2019-10-11_final
2019-10-23 10:27:30	ga_ls7e_ard_3-1-0_104075_2019-10-23_final
2019-12-23 09:53:17	ga_ls7e_ard_3-1-0_099074_2019-12-23_final
2019-12-29 09:18:18	ga_ls7e_ard_3-1-0_093080_2019-12-28_final
2019-12-30 10:01:30	ga_ls7e_ard_3-1-0_100080_2019-12-30_final
2020-01-16 10:43:54	ga_ls7e_ard_3-1-0_107080_2020-01-16_final
2020-01-27 10:20:49	ga_ls7e_ard_3-1-0_104070_2020-01-27_final
2020-01-30 09:19:05	ga_ls7e_ard_3-1-0_093086_2020-01-29_final
2020-02-01 10:43:06	ga_ls7e_ard_3-1-0_107080_2020-02-01_final
2020-02-15 09:15:28	ga_ls7e_ard_3-1-0_093079_2020-02-14_final
2020-03-15 10:20:18	ga_ls7e_ard_3-1-0_104075_2020-03-15_final
2020-03-20 10:40:33	ga_ls7e_ard_3-1-0_107080_2020-03-20_final
2020-03-28 09:48:40	ga_ls7e_ard_3-1-0_099075_2020-03-28_final
2020-04-03 09:12:03	ga_ls7e_ard_3-1-0_093077_2020-04-02_final
2020-04-04 09:56:27	ga_ls7e_ard_3-1-0_100080_2020-04-04_final
2020-04-13 09:47:22	ga_ls7e_ard_3-1-0_099074_2020-04-13_final
2020-04-13 09:47:45	ga_ls7e_ard_3-1-0_099075_2020-04-13_final
2020-04-19 09:09:56	ga_ls7e_ard_3-1-0_093074_2020-04-18_final
2020-04-21 10:37:32	ga_ls7e_ard_3-1-0_107077_2020-04-21_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_final
2022-03-13 10:13:28	ga_ls7e_ard_3-2-1_112076_2022-03-13_final
2022-03-17 09:50:43	ga_ls7e_ard_3-2-1_108082_2022-03-17_final
2022-03-19 09:36:10	ga_ls7e_ard_3-2-1_106077_2022-03-19_final
2022-03-24 08:16:10	ga_ls7e_ard_3-2-1_093079_2022-03-23_final
2022-03-25 08:59:44	ga_ls7e_ard_3-2-1_100080_2022-03-24_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_final
2022-03-29 08:32:38	ga_ls7e_ard_3-2-1_096075_2022-03-28_final
2022-03-29 08:34:14	ga_ls7e_ard_3-2-1_096079_2022-03-28_final
2022-03-31 09:59:22	ga_ls7e_ard_3-2-1_110076_2022-03-31_final
2022-03-31 10:00:10	ga_ls7e_ard_3-2-1_110078_2022-03-31_final
2022-04-01 09:05:15	ga_ls7e_ard_3-2-1_101080_2022-03-31_final
2022-04-02 08:09:32	ga_ls7e_ard_3-2-1_092080_2022-04-01_final
2022-04-05 08:38:08	ga_ls7e_ard_3-2-1_097075_2022-04-04_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