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
2000-08-31 10:32:07	ga_ls7e_ard_3-1-0_104070_2000-08-31_final
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2001-02-26 09:30:46	ga_ls7e_ard_3-1-0_093088_2001-02-26_final
2001-05-14 10:31:07	ga_ls7e_ard_3-1-0_104070_2001-05-14_final
2001-08-15 10:00:21	ga_ls7e_ard_3-1-0_099073_2001-08-15_final
2001-10-24 09:28:18	ga_ls7e_ard_3-1-0_093087_2001-10-23_final
2002-10-24 10:29:01	ga_ls7e_ard_3-1-0_104070_2002-10-24_final
2004-01-02 09:28:56	ga_ls7e_ard_3-1-0_093087_2004-01-01_final
2004-04-04 10:30:29	ga_ls7e_ard_3-1-0_104070_2004-04-04_final
2005-06-26 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-06-26_final
2005-08-13 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-08-13_final
2005-08-29 10:34:03	ga_ls7e_ard_3-1-0_104079_2005-08-29_final
2006-01-08 10:10:43	ga_ls7e_ard_3-1-0_100081_2006-01-08_final
2006-10-19 10:30:46	ga_ls7e_ard_3-1-0_104070_2006-10-19_final
2007-03-12 10:31:45	ga_ls7e_ard_3-1-0_104070_2007-03-12_final
2007-05-18 09:28:47	ga_ls7e_ard_3-1-0_093083_2007-05-17_final
2008-01-29 09:29:58	ga_ls7e_ard_3-1-0_093086_2008-01-28_final
2010-03-04 10:33:17	ga_ls7e_ard_3-1-0_104070_2010-03-04_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2010-08-14 09:29:51	ga_ls7e_ard_3-1-0_093081_2010-08-13_final
2010-08-30 09:29:54	ga_ls7e_ard_3-1-0_093081_2010-08-29_final
2010-10-01 09:29:26	ga_ls7e_ard_3-1-0_093080_2010-09-30_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
2011-07-29 10:34:42	ga_ls7e_ard_3-1-0_104070_2011-07-29_final
2012-02-22 10:35:22	ga_ls7e_ard_3-1-0_104070_2012-02-22_final
2012-07-15 10:39:36	ga_ls7e_ard_3-1-0_104079_2012-07-15_final
2012-09-17 10:36:40	ga_ls7e_ard_3-1-0_104070_2012-09-17_final
2013-01-07 10:37:23	ga_ls7e_ard_3-1-0_104070_2013-01-07_final
2013-01-23 10:40:12	ga_ls7e_ard_3-1-0_104077_2013-01-23_final
2013-01-23 10:41:24	ga_ls7e_ard_3-1-0_104080_2013-01-23_final
2013-01-23 10:41:48	ga_ls7e_ard_3-1-0_104081_2013-01-23_final
2013-03-12 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-03-12_final
2014-05-02 10:38:27	ga_ls7e_ard_3-1-0_104070_2014-05-02_final
2015-01-01 10:19:24	ga_ls7e_ard_3-1-0_100081_2015-01-01_final
2015-04-19 10:40:27	ga_ls7e_ard_3-1-0_104070_2015-04-19_final
2016-09-28 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-09-28_final
2016-11-18 09:42:34	ga_ls7e_ard_3-1-0_093087_2016-11-18_final
2017-03-26 09:40:39	ga_ls7e_ard_3-1-0_093083_2017-03-26_final
2017-04-08 10:43:31	ga_ls7e_ard_3-1-0_104070_2017-04-08_final
2017-07-17 10:23:33	ga_ls7e_ard_3-1-0_100081_2017-07-17_final
2017-10-05 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-10-05_final
2019-03-01 10:13:30	ga_ls7e_ard_3-1-0_100079_2019-03-01_final
2019-03-02 10:53:56	ga_ls7e_ard_3-1-0_107072_2019-03-02_final
2019-03-29 10:33:43	ga_ls7e_ard_3-1-0_104070_2019-03-29_final
2019-03-29 10:36:06	ga_ls7e_ard_3-1-0_104076_2019-03-29_final
2019-05-13 10:07:08	ga_ls7e_ard_3-1-0_099085_2019-05-13_final
2019-08-24 10:07:44	ga_ls7e_ard_3-1-0_100081_2019-08-24_final
2019-08-25 10:47:22	ga_ls7e_ard_3-1-0_107072_2019-08-25_final
2019-08-29 10:22:04	ga_ls7e_ard_3-1-0_103071_2019-08-29_final
2019-08-29 10:23:16	ga_ls7e_ard_3-1-0_103074_2019-08-29_final
2019-09-02 10:01:10	ga_ls7e_ard_3-1-0_099081_2019-09-02_final
2019-09-02 10:01:58	ga_ls7e_ard_3-1-0_099083_2019-09-02_final
2019-09-08 09:22:38	ga_ls7e_ard_3-1-0_093078_2019-09-07_final
2019-09-08 09:23:26	ga_ls7e_ard_3-1-0_093080_2019-09-07_final
2019-09-09 10:04:39	ga_ls7e_ard_3-1-0_100075_2019-09-09_final
2019-09-10 10:48:40	ga_ls7e_ard_3-1-0_107077_2019-09-10_final
2019-09-21 10:30:50	ga_ls7e_ard_3-1-0_104080_2019-09-21_final
2019-09-25 10:04:20	ga_ls7e_ard_3-1-0_100076_2019-09-25_final
2019-09-25 10:05:56	ga_ls7e_ard_3-1-0_100080_2019-09-25_final
2019-09-26 10:47:57	ga_ls7e_ard_3-1-0_107077_2019-09-26_final
2019-10-04 09:57:47	ga_ls7e_ard_3-1-0_099076_2019-10-04_final
2019-10-07 10:30:10	ga_ls7e_ard_3-1-0_104080_2019-10-07_final
2019-10-12 10:47:18	ga_ls7e_ard_3-1-0_107077_2019-10-12_final
2019-10-23 10:26:18	ga_ls7e_ard_3-1-0_104072_2019-10-23_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-10-26 09:20:59	ga_ls7e_ard_3-1-0_093079_2019-10-25_final
2019-10-27 10:02:12	ga_ls7e_ard_3-1-0_100074_2019-10-27_final
2019-11-08 10:25:11	ga_ls7e_ard_3-1-0_104071_2019-11-08_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-12 10:04:16	ga_ls7e_ard_3-1-0_100081_2019-11-12_final
2019-11-24 10:26:02	ga_ls7e_ard_3-1-0_104075_2019-11-24_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-11-29 10:45:08	ga_ls7e_ard_3-1-0_107077_2019-11-29_final
2019-12-10 10:24:27	ga_ls7e_ard_3-1-0_104073_2019-12-10_final
2019-12-13 09:17:55	ga_ls7e_ard_3-1-0_093077_2019-12-12_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-29 09:17:54	ga_ls7e_ard_3-1-0_093079_2019-12-28_final
2020-01-14 09:16:41	ga_ls7e_ard_3-1-0_093078_2020-01-13_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-15 10:01:05	ga_ls7e_ard_3-1-0_100081_2020-01-15_final
2020-01-20 10:18:35	ga_ls7e_ard_3-1-0_103079_2020-01-20_final
2020-01-27 10:21:37	ga_ls7e_ard_3-1-0_104072_2020-01-27_final
2020-03-02 09:18:13	ga_ls7e_ard_3-1-0_093088_2020-03-01_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-16 10:20:29	ga_ls7e_ard_3-1-0_104080_2020-04-16_final
2020-04-20 09:52:44	ga_ls7e_ard_3-1-0_100073_2020-04-20_final
2022-03-13 08:36:11	ga_ls7e_ard_3-2-1_096080_2022-03-12_final
2022-03-19 09:37:46	ga_ls7e_ard_3-2-1_106081_2022-03-19_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-26 09:41:42	ga_ls7e_ard_3-2-1_107077_2022-03-26_final
2022-03-28 09:27:33	ga_ls7e_ard_3-2-1_105073_2022-03-27_final
2022-03-29 08:33:50	ga_ls7e_ard_3-2-1_096078_2022-03-28_final
2022-03-30 09:15:24	ga_ls7e_ard_3-2-1_103074_2022-03-29_final
2022-03-31 08:23:17	ga_ls7e_ard_3-2-1_094083_2022-03-30_final
2022-04-01 09:02:03	ga_ls7e_ard_3-2-1_101072_2022-03-31_final
2022-04-03 08:50:18	ga_ls7e_ard_3-2-1_099074_2022-04-02_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