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
2001-04-15 09:22:10	ga_ls7e_ard_3-1-0_093067_2001-04-14_final
2001-06-15 10:30:48	ga_ls7e_ard_3-1-0_104070_2001-06-15_final
2001-07-01 10:30:35	ga_ls7e_ard_3-1-0_104070_2001-07-01_final
2001-08-18 10:30:03	ga_ls7e_ard_3-1-0_104070_2001-08-18_final
2001-11-03 10:00:40	ga_ls7e_ard_3-1-0_099075_2001-11-03_final
2002-01-28 09:28:51	ga_ls7e_ard_3-1-0_093087_2002-01-27_final
2003-01-31 09:26:58	ga_ls7e_ard_3-1-0_093083_2003-01-30_final
2004-09-27 10:29:49	ga_ls7e_ard_3-1-0_104070_2004-09-27_final
2005-09-30 10:30:18	ga_ls7e_ard_3-1-0_104070_2005-09-30_final
2006-12-06 10:31:21	ga_ls7e_ard_3-1-0_104070_2006-12-06_final
2007-02-11 09:30:02	ga_ls7e_ard_3-1-0_093086_2007-02-11_final
2007-04-29 10:31:41	ga_ls7e_ard_3-1-0_104070_2007-04-29_final
2007-06-03 09:29:53	ga_ls7e_ard_3-1-0_093086_2007-06-02_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2008-01-29 09:28:46	ga_ls7e_ard_3-1-0_093083_2008-01-28_final
2008-03-01 09:25:50	ga_ls7e_ard_3-1-0_093076_2008-02-29_final
2008-03-01 09:26:38	ga_ls7e_ard_3-1-0_093078_2008-02-29_final
2008-03-01 09:27:50	ga_ls7e_ard_3-1-0_093081_2008-02-29_final
2008-06-02 10:31:05	ga_ls7e_ard_3-1-0_104070_2008-06-02_final
2008-10-27 09:27:18	ga_ls7e_ard_3-1-0_093083_2008-10-26_final
2009-02-16 09:29:57	ga_ls7e_ard_3-1-0_093087_2009-02-15_final
2009-03-20 09:29:49	ga_ls7e_ard_3-1-0_093086_2009-03-19_final
2010-03-07 09:30:07	ga_ls7e_ard_3-1-0_093082_2010-03-07_final
2010-05-04 10:07:17	ga_ls7e_ard_3-1-0_099082_2010-05-04_final
2011-06-11 10:34:49	ga_ls7e_ard_3-1-0_104070_2011-06-11_final
2012-03-28 09:32:33	ga_ls7e_ard_3-1-0_093083_2012-03-28_final
2012-07-15 10:39:36	ga_ls7e_ard_3-1-0_104079_2012-07-15_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2013-08-22 09:33:48	ga_ls7e_ard_3-1-0_093083_2013-08-22_final
2014-04-16 10:38:19	ga_ls7e_ard_3-1-0_104070_2014-04-16_final
2015-01-29 10:39:53	ga_ls7e_ard_3-1-0_104070_2015-01-29_final
2015-07-24 10:40:59	ga_ls7e_ard_3-1-0_104070_2015-07-24_final
2016-04-18 10:18:36	ga_ls7e_ard_3-1-0_099085_2016-04-18_final
2016-06-08 10:43:45	ga_ls7e_ard_3-1-0_104070_2016-06-08_final
2017-05-26 10:43:45	ga_ls7e_ard_3-1-0_104070_2017-05-26_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-09-18 09:41:00	ga_ls7e_ard_3-1-0_093083_2017-09-18_final
2018-03-10 10:42:30	ga_ls7e_ard_3-1-0_104070_2018-03-10_final
2018-06-14 10:40:57	ga_ls7e_ard_3-1-0_104070_2018-06-14_final
2018-11-24 09:34:43	ga_ls7e_ard_3-1-0_093083_2018-11-24_final
2018-12-26 09:33:51	ga_ls7e_ard_3-1-0_093083_2018-12-26_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-03-02 10:53:56	ga_ls7e_ard_3-1-0_107072_2019-03-02_final
2019-03-02 10:56:20	ga_ls7e_ard_3-1-0_107078_2019-03-02_final
2019-03-10 10:08:38	ga_ls7e_ard_3-1-0_099083_2019-03-10_final
2019-08-25 10:46:58	ga_ls7e_ard_3-1-0_107071_2019-08-25_final
2019-08-25 10:50:33	ga_ls7e_ard_3-1-0_107080_2019-08-25_final
2019-09-02 09:59:11	ga_ls7e_ard_3-1-0_099076_2019-09-02_final
2019-09-05 10:31:09	ga_ls7e_ard_3-1-0_104079_2019-09-05_final
2019-09-08 09:21:02	ga_ls7e_ard_3-1-0_093074_2019-09-07_final
2019-09-10 10:48:16	ga_ls7e_ard_3-1-0_107076_2019-09-10_final
2019-09-18 09:57:40	ga_ls7e_ard_3-1-0_099074_2019-09-18_final
2019-09-18 10:00:28	ga_ls7e_ard_3-1-0_099081_2019-09-18_final
2019-09-24 09:21:07	ga_ls7e_ard_3-1-0_093076_2019-09-23_final
2019-10-07 10:27:46	ga_ls7e_ard_3-1-0_104074_2019-10-07_final
2019-10-20 09:59:07	ga_ls7e_ard_3-1-0_099081_2019-10-20_final
2019-10-20 09:59:31	ga_ls7e_ard_3-1-0_099082_2019-10-20_final
2019-11-05 09:55:37	ga_ls7e_ard_3-1-0_099074_2019-11-05_final
2019-11-08 10:25:59	ga_ls7e_ard_3-1-0_104073_2019-11-08_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-21 09:54:53	ga_ls7e_ard_3-1-0_099074_2019-11-21_final
2019-11-27 09:21:30	ga_ls7e_ard_3-1-0_093084_2019-11-26_final
2019-11-27 09:22:18	ga_ls7e_ard_3-1-0_093086_2019-11-26_final
2019-12-29 09:17:54	ga_ls7e_ard_3-1-0_093079_2019-12-28_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2019-12-31 10:43:55	ga_ls7e_ard_3-1-0_107078_2019-12-31_final
2020-01-14 09:17:05	ga_ls7e_ard_3-1-0_093079_2020-01-13_final
2020-02-12 10:23:36	ga_ls7e_ard_3-1-0_104079_2020-02-12_final
2020-02-15 09:15:04	ga_ls7e_ard_3-1-0_093078_2020-02-14_final
2020-02-17 10:39:29	ga_ls7e_ard_3-1-0_107073_2020-02-17_final
2020-03-02 09:15:25	ga_ls7e_ard_3-1-0_093081_2020-03-01_final
2020-03-15 10:21:53	ga_ls7e_ard_3-1-0_104079_2020-03-15_final
2020-03-18 09:15:21	ga_ls7e_ard_3-1-0_093083_2020-03-17_final
2020-03-28 09:49:04	ga_ls7e_ard_3-1-0_099076_2020-03-28_final
2020-04-05 10:35:40	ga_ls7e_ard_3-1-0_107070_2020-04-05_final
2020-04-13 09:50:09	ga_ls7e_ard_3-1-0_099081_2020-04-13_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-21 10:39:31	ga_ls7e_ard_3-1-0_107082_2020-04-21_final
2022-03-13 08:35:47	ga_ls7e_ard_3-2-1_096079_2022-03-12_final
2022-03-13 08:37:23	ga_ls7e_ard_3-2-1_096083_2022-03-12_final
2022-03-13 10:14:39	ga_ls7e_ard_3-2-1_112079_2022-03-13_final
2022-03-18 08:51:48	ga_ls7e_ard_3-2-1_099074_2022-03-17_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_final
2022-03-22 08:30:19	ga_ls7e_ard_3-2-1_095083_2022-03-21_final
2022-03-23 09:10:17	ga_ls7e_ard_3-2-1_102075_2022-03-22_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_final
2022-03-26 09:42:30	ga_ls7e_ard_3-2-1_107079_2022-03-26_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_final
2022-03-29 10:11:31	ga_ls7e_ard_3-2-1_112075_2022-03-29_final
2022-03-30 09:13:49	ga_ls7e_ard_3-2-1_103070_2022-03-29_final
2022-03-30 09:15:48	ga_ls7e_ard_3-2-1_103075_2022-03-29_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_final
2022-03-31 08:21:41	ga_ls7e_ard_3-2-1_094079_2022-03-30_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_final
2022-04-01 09:05:39	ga_ls7e_ard_3-2-1_101081_2022-03-31_final
2022-04-02 08:09:56	ga_ls7e_ard_3-2-1_092081_2022-04-01_final
2022-04-04 09:34:39	ga_ls7e_ard_3-2-1_106077_2022-04-04_final
2022-04-06 09:19:18	ga_ls7e_ard_3-2-1_104070_2022-04-05_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