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
2002-06-05 09:28:38	ga_ls7e_ard_3-1-0_093087_2002-06-04_final
2003-08-08 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-08-08_final
2003-08-24 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-08-24_final
2003-10-27 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-10-27_final
2004-08-26 10:30:00	ga_ls7e_ard_3-1-0_104070_2004-08-26_final
2004-09-11 10:29:53	ga_ls7e_ard_3-1-0_104070_2004-09-11_final
2005-07-28 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-07-28_final
2005-08-16 09:27:45	ga_ls7e_ard_3-1-0_093083_2005-08-15_final
2006-10-19 10:30:46	ga_ls7e_ard_3-1-0_104070_2006-10-19_final
2007-05-31 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-05-31_final
2007-07-18 10:31:25	ga_ls7e_ard_3-1-0_104070_2007-07-18_final
2008-03-14 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-14_final
2008-04-02 09:29:47	ga_ls7e_ard_3-1-0_093086_2008-04-01_final
2008-08-02 09:59:34	ga_ls7e_ard_3-1-0_099070_2008-08-02_final
2008-10-27 09:27:18	ga_ls7e_ard_3-1-0_093083_2008-10-26_final
2009-08-11 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-10_final
2010-01-31 10:32:58	ga_ls7e_ard_3-1-0_104070_2010-01-31_final
2010-04-05 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-04-05_final
2010-05-23 10:33:20	ga_ls7e_ard_3-1-0_104070_2010-05-23_final
2010-06-27 09:30:37	ga_ls7e_ard_3-1-0_093083_2010-06-27_final
2010-08-27 10:33:29	ga_ls7e_ard_3-1-0_104070_2010-08-27_final
2011-08-30 10:34:36	ga_ls7e_ard_3-1-0_104070_2011-08-30_final
2012-12-06 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-12-06_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2013-07-21 09:30:11	ga_ls7e_ard_3-1-0_093074_2013-07-21_final
2014-08-22 10:38:51	ga_ls7e_ard_3-1-0_104070_2014-08-22_final
2015-10-31 09:40:28	ga_ls7e_ard_3-1-0_093087_2015-10-31_final
2015-11-29 10:42:07	ga_ls7e_ard_3-1-0_104070_2015-11-29_final
2016-05-23 10:43:40	ga_ls7e_ard_3-1-0_104070_2016-05-23_final
2016-07-13 09:40:59	ga_ls7e_ard_3-1-0_093083_2016-07-13_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2016-10-30 10:43:54	ga_ls7e_ard_3-1-0_104070_2016-10-30_final
2017-08-30 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-08-30_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2018-05-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2018-05-01_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-07-16 10:40:20	ga_ls7e_ard_3-1-0_104070_2018-07-16_final
2018-08-17 10:39:46	ga_ls7e_ard_3-1-0_104070_2018-08-17_final
2019-01-27 09:34:26	ga_ls7e_ard_3-1-0_093087_2019-01-27_final
2019-02-25 10:37:09	ga_ls7e_ard_3-1-0_104076_2019-02-25_final
2019-02-28 09:28:17	ga_ls7e_ard_3-1-0_093074_2019-02-27_final
2019-02-28 09:31:04	ga_ls7e_ard_3-1-0_093081_2019-02-28_final
2019-03-02 10:57:56	ga_ls7e_ard_3-1-0_107082_2019-03-02_final
2019-03-10 10:08:38	ga_ls7e_ard_3-1-0_099083_2019-03-10_final
2019-03-16 09:29:21	ga_ls7e_ard_3-1-0_093078_2019-03-15_final
2019-05-13 10:07:08	ga_ls7e_ard_3-1-0_099085_2019-05-13_final
2019-06-17 10:30:46	ga_ls7e_ard_3-1-0_104070_2019-06-17_final
2019-08-20 10:28:14	ga_ls7e_ard_3-1-0_104070_2019-08-20_final
2019-09-08 09:21:50	ga_ls7e_ard_3-1-0_093076_2019-09-07_final
2019-09-08 09:25:50	ga_ls7e_ard_3-1-0_093086_2019-09-07_final
2019-09-10 10:49:52	ga_ls7e_ard_3-1-0_107080_2019-09-10_final
2019-09-18 10:00:52	ga_ls7e_ard_3-1-0_099082_2019-09-18_final
2019-09-18 10:01:40	ga_ls7e_ard_3-1-0_099084_2019-09-18_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-10-04 09:56:36	ga_ls7e_ard_3-1-0_099073_2019-10-04_final
2019-10-20 09:55:55	ga_ls7e_ard_3-1-0_099073_2019-10-20_final
2019-10-26 09:19:23	ga_ls7e_ard_3-1-0_093075_2019-10-25_final
2019-10-28 10:46:37	ga_ls7e_ard_3-1-0_107077_2019-10-28_final
2019-11-05 09:55:13	ga_ls7e_ard_3-1-0_099073_2019-11-05_final
2019-11-11 09:22:15	ga_ls7e_ard_3-1-0_093084_2019-11-10_final
2019-11-12 10:04:16	ga_ls7e_ard_3-1-0_100081_2019-11-12_final
2019-11-27 09:19:06	ga_ls7e_ard_3-1-0_093078_2019-11-26_final
2019-12-07 09:54:54	ga_ls7e_ard_3-1-0_099076_2019-12-07_final
2019-12-13 09:17:31	ga_ls7e_ard_3-1-0_093076_2019-12-12_final
2019-12-13 09:20:43	ga_ls7e_ard_3-1-0_093084_2019-12-12_final
2019-12-26 10:26:50	ga_ls7e_ard_3-1-0_104081_2019-12-26_final
2019-12-29 09:20:41	ga_ls7e_ard_3-1-0_093086_2019-12-28_final
2020-01-11 10:24:24	ga_ls7e_ard_3-1-0_104077_2020-01-11_final
2020-01-30 09:15:53	ga_ls7e_ard_3-1-0_093078_2020-01-29_final
2020-01-30 09:17:53	ga_ls7e_ard_3-1-0_093083_2020-01-29_final
2020-02-09 09:50:28	ga_ls7e_ard_3-1-0_099073_2020-02-09_final
2020-02-09 09:51:16	ga_ls7e_ard_3-1-0_099075_2020-02-09_final
2020-03-12 09:51:57	ga_ls7e_ard_3-1-0_099081_2020-03-12_final
2020-03-18 09:12:09	ga_ls7e_ard_3-1-0_093075_2020-03-17_final
2020-03-19 09:55:21	ga_ls7e_ard_3-1-0_100075_2020-03-19_final
2020-03-20 10:37:46	ga_ls7e_ard_3-1-0_107073_2020-03-20_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2020-04-19 09:12:19	ga_ls7e_ard_3-1-0_093080_2020-04-18_final
2020-04-20 09:52:20	ga_ls7e_ard_3-1-0_100072_2020-04-20_final
2020-04-21 10:36:20	ga_ls7e_ard_3-1-0_107074_2020-04-21_final
2020-04-21 10:38:43	ga_ls7e_ard_3-1-0_107080_2020-04-21_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-17 08:09:27	ga_ls7e_ard_3-2-1_092076_2022-03-16_final
2022-03-20 08:43:39	ga_ls7e_ard_3-2-1_097085_2022-03-19_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-22 10:06:00	ga_ls7e_ard_3-2-1_111075_2022-03-22_final
2022-03-24 08:14:10	ga_ls7e_ard_3-2-1_093074_2022-03-23_final
2022-03-24 09:54:15	ga_ls7e_ard_3-2-1_109077_2022-03-24_final
2022-03-24 09:56:15	ga_ls7e_ard_3-2-1_109082_2022-03-24_final
2022-03-25 08:59:20	ga_ls7e_ard_3-2-1_100079_2022-03-24_final
2022-03-26 09:42:54	ga_ls7e_ard_3-2-1_107080_2022-03-26_final
2022-03-27 08:45:11	ga_ls7e_ard_3-2-1_098075_2022-03-26_final
2022-03-29 08:36:38	ga_ls7e_ard_3-2-1_096085_2022-03-28_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_final
2022-03-30 09:16:36	ga_ls7e_ard_3-2-1_103077_2022-03-29_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_2022-03-31_final
2022-04-02 09:44:01	ga_ls7e_ard_3-2-1_108069_2022-04-02_final
2022-04-03 08:50:41	ga_ls7e_ard_3-2-1_099075_2022-04-02_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_final
2022-04-04 09:35:03	ga_ls7e_ard_3-2-1_106078_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