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
2000-01-20 10:34:00	ga_ls7e_ard_3-1-0_104070_2000-01-20_final
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2001-06-02 09:28:57	ga_ls7e_ard_3-1-0_093085_2001-06-01_final
2002-03-01 09:29:00	ga_ls7e_ard_3-1-0_093087_2002-02-28_final
2003-10-15 10:09:03	ga_ls7e_ard_3-1-0_100081_2003-10-15_final
2005-02-18 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-02-18_final
2006-06-29 10:34:44	ga_ls7e_ard_3-1-0_104079_2006-06-29_final
2007-02-18 09:35:03	ga_ls7e_ard_3-1-0_094083_2007-02-18_final
2009-03-17 10:34:59	ga_ls7e_ard_3-1-0_104079_2009-03-17_final
2010-03-04 10:33:17	ga_ls7e_ard_3-1-0_104070_2010-03-04_final
2011-07-29 10:34:42	ga_ls7e_ard_3-1-0_104070_2011-07-29_final
2012-11-14 09:40:33	ga_ls7e_ard_3-1-0_094083_2012-11-14_final
2013-01-11 10:17:03	ga_ls7e_ard_3-1-0_100081_2013-01-11_final
2013-04-13 10:37:14	ga_ls7e_ard_3-1-0_104070_2013-04-13_final
2013-09-07 09:33:59	ga_ls7e_ard_3-1-0_093083_2013-09-07_final
2014-03-03 10:17:39	ga_ls7e_ard_3-1-0_100081_2014-03-03_final
2014-05-18 10:42:09	ga_ls7e_ard_3-1-0_104079_2014-05-18_final
2014-07-24 09:36:01	ga_ls7e_ard_3-1-0_093083_2014-07-24_final
2014-10-19 09:42:39	ga_ls7e_ard_3-1-0_094083_2014-10-19_final
2015-04-03 10:40:19	ga_ls7e_ard_3-1-0_104070_2015-04-03_final
2015-05-21 10:40:41	ga_ls7e_ard_3-1-0_104070_2015-05-21_final
2016-12-27 09:46:58	ga_ls7e_ard_3-1-0_094083_2016-12-27_final
2017-03-23 10:43:26	ga_ls7e_ard_3-1-0_104070_2017-03-23_final
2017-04-24 10:43:38	ga_ls7e_ard_3-1-0_104070_2017-04-24_final
2017-09-15 10:47:24	ga_ls7e_ard_3-1-0_104079_2017-09-15_final
2018-06-24 09:42:57	ga_ls7e_ard_3-1-0_094080_2018-06-24_final
2019-02-22 10:05:33	ga_ls7e_ard_3-1-0_099074_2019-02-22_final
2019-03-01 10:14:18	ga_ls7e_ard_3-1-0_100081_2019-03-01_final
2019-03-02 10:56:20	ga_ls7e_ard_3-1-0_107078_2019-03-02_final
2019-03-06 10:31:53	ga_ls7e_ard_3-1-0_103079_2019-03-06_final
2019-03-07 09:36:38	ga_ls7e_ard_3-1-0_094080_2019-03-07_final
2019-03-10 10:05:02	ga_ls7e_ard_3-1-0_099074_2019-03-10_final
2019-03-13 10:35:03	ga_ls7e_ard_3-1-0_104072_2019-03-13_final
2019-03-13 10:38:14	ga_ls7e_ard_3-1-0_104080_2019-03-13_final
2019-03-29 10:36:30	ga_ls7e_ard_3-1-0_104077_2019-03-29_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-09-09 10:07:03	ga_ls7e_ard_3-1-0_100081_2019-09-09_final
2019-09-10 10:47:04	ga_ls7e_ard_3-1-0_107073_2019-09-10_final
2019-09-21 10:30:02	ga_ls7e_ard_3-1-0_104078_2019-09-21_final
2019-10-07 10:29:22	ga_ls7e_ard_3-1-0_104078_2019-10-07_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-11 10:03:17	ga_ls7e_ard_3-1-0_100075_2019-10-11_final
2019-10-26 09:20:11	ga_ls7e_ard_3-1-0_093077_2019-10-25_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-13 10:46:17	ga_ls7e_ard_3-1-0_107078_2019-11-13_final
2019-11-17 10:20:11	ga_ls7e_ard_3-1-0_103075_2019-11-17_final
2019-12-20 09:23:44	ga_ls7e_ard_3-1-0_094077_2019-12-19_final
2019-12-23 09:53:17	ga_ls7e_ard_3-1-0_099074_2019-12-23_final
2020-01-11 10:22:01	ga_ls7e_ard_3-1-0_104071_2020-01-11_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-02-05 10:16:35	ga_ls7e_ard_3-1-0_103076_2020-02-05_final
2020-02-21 10:15:21	ga_ls7e_ard_3-1-0_103075_2020-02-21_final
2020-03-09 09:21:13	ga_ls7e_ard_3-1-0_094081_2020-03-08_final
2020-03-28 09:48:16	ga_ls7e_ard_3-1-0_099074_2020-03-28_final
2020-04-10 09:20:37	ga_ls7e_ard_3-1-0_094084_2020-04-09_final
2020-04-16 10:18:29	ga_ls7e_ard_3-1-0_104075_2020-04-16_final
2020-04-19 09:11:31	ga_ls7e_ard_3-1-0_093078_2020-04-18_final
2020-04-20 09:52:44	ga_ls7e_ard_3-1-0_100073_2020-04-20_final
2020-04-21 10:35:56	ga_ls7e_ard_3-1-0_107073_2020-04-21_final
2020-04-26 09:16:06	ga_ls7e_ard_3-1-0_094075_2020-04-25_final
2020-08-18 10:36:29	ga_ls7e_ard_3-1-0_108077_2020-08-18_final
2020-08-23 09:15:26	ga_ls7e_ard_3-1-0_095076_2020-08-22_final
2020-08-23 09:15:50	ga_ls7e_ard_3-1-0_095077_2020-08-22_final
2020-08-24 09:57:02	ga_ls7e_ard_3-1-0_102072_2020-08-24_final
2020-08-27 10:27:44	ga_ls7e_ard_3-1-0_107072_2020-08-27_final
2020-08-27 10:31:43	ga_ls7e_ard_3-1-0_107082_2020-08-27_final
2020-08-31 10:03:33	ga_ls7e_ard_3-1-0_103074_2020-08-31_final
2020-09-03 08:57:22	ga_ls7e_ard_3-1-0_092079_2020-09-02_final
2020-09-03 10:35:51	ga_ls7e_ard_3-1-0_108078_2020-09-03_final
2020-09-08 10:49:40	ga_ls7e_ard_3-1-0_111067_2020-09-08_final
2020-09-09 09:58:23	ga_ls7e_ard_3-1-0_102078_2020-09-09_final
2020-09-09 09:58:46	ga_ls7e_ard_3-1-0_102079_2020-09-09_final
2020-09-12 08:50:12	ga_ls7e_ard_3-1-0_091078_2020-09-11_final
2020-09-12 10:29:05	ga_ls7e_ard_3-1-0_107078_2020-09-12_final
2020-09-20 09:40:18	ga_ls7e_ard_3-1-0_099081_2020-09-20_final
2020-09-23 10:09:24	ga_ls7e_ard_3-1-0_104077_2020-09-23_final
2020-09-24 10:53:24	ga_ls7e_ard_3-1-0_111079_2020-09-24_final
2020-09-26 10:40:55	ga_ls7e_ard_3-1-0_109079_2020-09-26_final
2020-10-01 09:20:39	ga_ls7e_ard_3-1-0_096080_2020-09-30_final
2020-10-12 09:01:25	ga_ls7e_ard_3-1-0_093080_2020-10-11_final
2020-11-02 09:16:35	ga_ls7e_ard_3-1-0_096075_2020-11-01_final
2020-11-08 08:41:29	ga_ls7e_ard_3-1-0_090081_2020-11-07_final
2020-11-13 08:58:53	ga_ls7e_ard_3-1-0_093079_2020-11-12_final
2020-11-13 09:00:29	ga_ls7e_ard_3-1-0_093083_2020-11-12_final
2020-11-15 08:46:23	ga_ls7e_ard_3-1-0_091079_2020-11-14_final
2020-11-22 08:51:40	ga_ls7e_ard_3-1-0_092078_2020-11-21_final
2020-11-27 09:09:27	ga_ls7e_ard_3-1-0_095077_2020-11-26_final
2020-11-27 10:49:08	ga_ls7e_ard_3-1-0_111079_2020-11-27_final
2020-11-29 08:57:21	ga_ls7e_ard_3-1-0_093078_2020-11-28_final
2020-12-01 10:25:19	ga_ls7e_ard_3-1-0_107082_2020-12-01_final
2021-02-24 08:56:22	ga_ls7e_ard_3-2-0_094076_2021-02-23_final
2021-03-19 10:40:49	ga_ls7e_ard_3-2-0_111079_2021-03-19_final
2021-03-24 09:17:41	ga_ls7e_ard_3-2-0_098073_2021-03-23_final
2021-03-27 09:49:09	ga_ls7e_ard_3-2-0_103075_2021-03-27_final
2021-03-30 10:21:00	ga_ls7e_ard_3-2-0_108078_2021-03-30_final
2021-04-06 10:27:00	ga_ls7e_ard_3-2-0_109079_2021-04-06_final
2021-04-06 10:27:48	ga_ls7e_ard_3-2-0_109081_2021-04-06_final
2021-04-08 08:37:11	ga_ls7e_ard_3-2-0_091083_2021-04-07_final
2021-04-09 09:17:10	ga_ls7e_ard_3-2-0_098075_2021-04-08_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