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
1999-09-05 09:05:51	ga_ls7e_ard_3-1-0_089081_1999-09-04_final
2000-12-04 09:50:41	ga_ls7e_ard_3-1-0_097076_2000-12-04_final
2001-10-19 09:08:59	ga_ls7e_ard_3-1-0_090085_2001-10-18_final
2002-11-06 11:39:53	ga_ls7e_ard_3-1-0_115077_2002-11-06_final
2003-10-24 11:40:21	ga_ls7e_ard_3-1-0_115077_2003-10-24_final
2004-05-15 10:25:50	ga_ls7e_ard_3-1-0_103074_2004-05-15_final
2004-07-23 10:45:18	ga_ls7e_ard_3-1-0_106077_2004-07-23_final
2006-01-09 10:51:59	ga_ls7e_ard_3-1-0_107076_2006-01-09_final
2006-02-22 09:39:17	ga_ls7e_ard_3-1-0_095079_2006-02-22_final
2007-03-24 11:01:16	ga_ls7e_ard_3-1-0_108082_2007-03-24_final
2007-05-10 10:15:05	ga_ls7e_ard_3-1-0_101075_2007-05-10_final
2007-05-18 11:06:52	ga_ls7e_ard_3-1-0_109081_2007-05-18_final
2007-06-16 10:31:29	ga_ls7e_ard_3-1-0_104070_2007-06-16_final
2007-10-12 09:57:53	ga_ls7e_ard_3-1-0_098080_2007-10-12_final
2008-02-21 09:28:29	ga_ls7e_ard_3-1-0_094067_2008-02-20_final
2008-12-09 10:45:01	ga_ls7e_ard_3-1-0_106075_2008-12-09_final
2009-08-14 09:58:18	ga_ls7e_ard_3-1-0_098080_2009-08-14_final
2009-12-08 09:29:06	ga_ls7e_ard_3-1-0_094067_2009-12-07_final
2010-01-03 10:11:25	ga_ls7e_ard_3-1-0_100079_2010-01-03_final
2010-02-12 11:02:37	ga_ls7e_ard_3-1-0_108082_2010-02-12_final
2010-02-14 10:47:29	ga_ls7e_ard_3-1-0_106075_2010-02-14_final
2010-04-29 11:28:27	ga_ls7e_ard_3-1-0_112084_2010-04-29_final
2010-06-20 10:58:30	ga_ls7e_ard_3-1-0_108071_2010-06-20_final
2010-12-20 09:29:53	ga_ls7e_ard_3-1-0_093079_2010-12-19_final
2011-04-19 10:18:16	ga_ls7e_ard_3-1-0_101075_2011-04-19_final
2011-07-11 09:14:13	ga_ls7e_ard_3-1-0_090085_2011-07-10_final
2011-12-21 11:23:10	ga_ls7e_ard_3-1-0_111082_2011-12-21_final
2012-09-27 09:33:48	ga_ls7e_ard_3-1-0_094067_2012-09-27_final
2012-12-01 10:20:40	ga_ls7e_ard_3-1-0_101075_2012-12-01_final
2013-08-01 09:15:56	ga_ls7e_ard_3-1-0_090085_2013-07-31_final
2014-03-18 11:13:24	ga_ls7e_ard_3-1-0_109081_2014-03-18_final
2014-05-09 09:10:10	ga_ls7e_ard_3-1-0_089081_2014-05-08_final
2014-07-12 09:10:26	ga_ls7e_ard_3-1-0_089081_2014-07-11_final
2015-01-25 09:30:03	ga_ls7e_ard_3-1-0_092081_2015-01-25_final
2015-07-25 11:29:02	ga_ls7e_ard_3-1-0_111082_2015-07-25_final
2015-08-09 10:41:03	ga_ls7e_ard_3-1-0_104070_2015-08-09_final
2016-11-26 10:27:12	ga_ls7e_ard_3-1-0_101075_2016-11-26_final
2017-01-07 09:29:30	ga_ls7e_ard_3-1-0_091086_2017-01-06_final
2017-09-15 10:43:49	ga_ls7e_ard_3-1-0_104070_2017-09-15_final
2018-11-01 09:29:53	ga_ls7e_ard_3-1-0_092085_2018-10-31_final
2018-12-03 09:28:19	ga_ls7e_ard_3-1-0_092083_2018-12-02_final
2019-02-20 10:17:34	ga_ls7e_ard_3-1-0_101073_2019-02-20_final
2019-03-18 09:18:32	ga_ls7e_ard_3-1-0_091082_2019-03-17_final
2019-04-27 11:43:27	ga_ls7e_ard_3-1-0_115077_2019-04-27_final
2019-08-28 09:39:15	ga_ls7e_ard_3-1-0_096072_2019-08-28_final
2019-09-13 09:38:33	ga_ls7e_ard_3-1-0_096072_2019-09-13_final
2019-09-24 11:03:12	ga_ls7e_ard_3-1-0_109084_2019-09-24_final
2019-09-30 10:21:29	ga_ls7e_ard_3-1-0_103073_2019-09-30_final
2019-10-06 09:43:21	ga_ls7e_ard_3-1-0_097071_2019-10-06_final
2019-10-12 10:45:18	ga_ls7e_ard_3-1-0_107072_2019-10-12_final
2019-10-14 10:32:04	ga_ls7e_ard_3-1-0_105070_2019-10-14_final
2019-10-22 11:23:09	ga_ls7e_ard_3-1-0_113075_2019-10-22_final
2019-10-31 09:39:18	ga_ls7e_ard_3-1-0_096079_2019-10-31_final
2019-11-04 10:53:41	ga_ls7e_ard_3-1-0_108080_2019-11-04_final
2019-11-22 09:02:24	ga_ls7e_ard_3-1-0_090082_2019-11-21_final
2019-11-23 11:22:54	ga_ls7e_ard_3-1-0_113078_2019-11-23_final
2019-12-03 10:17:01	ga_ls7e_ard_3-1-0_103069_2019-12-03_final
2019-12-21 10:05:45	ga_ls7e_ard_3-1-0_101074_2019-12-21_final
2019-12-27 11:11:14	ga_ls7e_ard_3-1-0_111084_2019-12-27_final
2020-01-07 10:52:07	ga_ls7e_ard_3-1-0_108084_2020-01-07_final
2020-01-18 10:27:51	ga_ls7e_ard_3-1-0_105071_2020-01-18_final
2020-02-04 09:32:35	ga_ls7e_ard_3-1-0_096074_2020-02-04_final
2020-02-04 09:35:22	ga_ls7e_ard_3-1-0_096081_2020-02-04_final
2020-03-19 09:58:09	ga_ls7e_ard_3-1-0_100082_2020-03-19_final
2020-03-25 10:57:37	ga_ls7e_ard_3-1-0_110077_2020-03-25_final
2020-03-27 10:45:57	ga_ls7e_ard_3-1-0_108079_2020-03-27_final
2020-04-10 10:58:42	ga_ls7e_ard_3-1-0_110082_2020-04-10_final
2020-05-10 11:09:17	ga_ls7e_ard_3-1-0_112082_2020-05-10_final
2020-09-06 09:24:29	ga_ls7e_ard_3-1-0_097070_2020-09-05_final
2021-02-26 10:23:56	ga_ls7e_ard_3-2-0_108079_2021-02-26_final
2021-03-09 08:27:15	ga_ls7e_ard_3-2-0_089083_2021-03-08_final
2021-05-01 08:41:02	ga_ls7e_ard_3-2-0_092082_2021-04-30_final
2021-05-03 08:27:42	ga_ls7e_ard_3-2-0_090080_2021-05-02_final
2021-05-15 10:28:42	ga_ls7e_ard_3-2-0_110076_2021-05-15_final
2021-05-21 09:51:07	ga_ls7e_ard_3-2-0_104076_2021-05-21_final
2021-06-06 09:50:57	ga_ls7e_ard_3-2-0_104079_2021-06-06_final
2021-06-13 09:56:34	ga_ls7e_ard_3-2-0_105079_2021-06-13_final
2021-06-16 08:49:09	ga_ls7e_ard_3-2-0_094081_2021-06-15_final
2021-07-07 09:05:56	ga_ls7e_ard_3-2-0_097081_2021-07-06_final
2021-07-12 09:23:15	ga_ls7e_ard_3-2-0_100079_2021-07-11_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-23 08:19:23	ga_ls7e_ard_3-2-0_090083_2021-08-22_final
2021-08-31 09:08:56	ga_ls7e_ard_3-2-0_098085_2021-08-30_final
2021-10-12 09:36:18	ga_ls7e_ard_3-2-0_104070_2021-10-12_final
2021-10-28 09:37:39	ga_ls7e_ard_3-2-0_104077_2021-10-28_final
2021-11-14 10:17:18	ga_ls7e_ard_3-2-1_111072_2021-11-14_final
2021-11-23 08:34:56	ga_ls7e_ard_3-2-1_094081_2021-11-22_final
2021-12-11 09:58:59	ga_ls7e_ard_3-2-1_108079_2021-12-11_final
2021-12-14 10:29:59	ga_ls7e_ard_3-2-1_113080_2021-12-14_final
2022-01-13 09:01:20	ga_ls7e_ard_3-2-1_099082_2022-01-12_final
2022-01-24 10:19:49	ga_ls7e_ard_3-2-1_112080_2022-01-24_final
2022-02-02 10:13:09	ga_ls7e_ard_3-2-1_111081_2022-02-02_final
2022-02-12 09:07:08	ga_ls7e_ard_3-2-1_101073_2022-02-11_final
2022-02-21 09:02:51	ga_ls7e_ard_3-2-1_100080_2022-02-20_final
2022-02-23 08:49:06	ga_ls7e_ard_3-2-1_098077_2022-02-22_final
2022-03-04 10:20:32	ga_ls7e_ard_3-2-1_113076_2022-03-04_final
2022-03-05 09:22:50	ga_ls7e_ard_3-2-1_104071_2022-03-04_final
2022-03-12 07:54:37	ga_ls7e_ard_3-2-1_089084_2022-03-11_final
2022-03-15 10:02:53	ga_ls7e_ard_3-2-1_110081_2022-03-15_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_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