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
1999-10-26 09:33:53	ga_ls7e_ard_3-0-0_094074_1999-10-26_final
2001-02-02 10:15:09	ga_ls7e_ard_3-1-0_101075_2001-02-02_final
2001-04-06 09:28:16	ga_ls7e_ard_3-1-0_094067_2001-04-05_final
2003-03-30 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-03-30_final
2003-09-26 11:17:28	ga_ls7e_ard_3-1-0_111082_2003-09-26_final
2004-02-26 09:34:31	ga_ls7e_ard_3-0-0_094085_2004-02-26_final
2004-05-16 09:29:49	ga_ls7e_ard_3-1-0_094073_2004-05-15_final
2004-08-11 09:35:36	ga_ls7e_ard_3-1-0_095073_2004-08-11_final
2005-01-27 09:34:25	ga_ls7e_ard_3-0-0_094084_2005-01-27_final
2005-07-15 11:05:57	ga_ls7e_ard_3-1-0_109081_2005-07-15_final
2005-09-04 09:57:18	ga_ls7e_ard_3-1-0_098080_2005-09-04_final
2005-11-01 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-11-01_final
2006-02-15 09:28:17	ga_ls7e_ard_3-1-0_094067_2006-02-14_final
2006-05-11 09:50:26	ga_ls7e_ard_3-1-0_097076_2006-05-11_final
2006-08-08 11:25:32	ga_ls7e_ard_3-1-0_112083_2006-08-08_final
2006-08-26 09:33:51	ga_ls7e_ard_3-0-0_094082_2006-08-26_final
2006-11-14 09:34:32	ga_ls7e_ard_3-0-0_094083_2006-11-14_final
2007-04-10 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-04-10_final
2008-01-24 10:45:56	ga_ls7e_ard_3-1-0_106075_2008-01-24_final
2008-02-05 09:35:20	ga_ls7e_ard_3-0-0_094084_2008-02-05_final
2009-07-26 11:06:47	ga_ls7e_ard_3-1-0_109081_2009-07-26_final
2009-10-14 11:06:38	ga_ls7e_ard_3-1-0_109081_2009-10-14_final
2010-06-18 09:36:45	ga_ls7e_ard_3-0-0_094083_2010-06-18_final
2010-08-18 09:05:09	ga_ls7e_ard_3-1-0_089081_2010-08-17_final
2010-08-21 09:30:28	ga_ls7e_ard_3-1-0_094067_2010-08-21_final
2012-06-29 10:35:46	ga_ls7e_ard_3-1-0_104070_2012-06-29_final
2013-04-07 11:15:09	ga_ls7e_ard_3-1-0_110072_2013-04-07_final
2013-04-08 10:20:43	ga_ls7e_ard_3-1-0_101075_2013-04-08_final
2013-06-10 09:37:54	ga_ls7e_ard_3-0-0_094077_2013-06-10_final
2014-08-27 09:24:52	ga_ls7e_ard_3-1-0_091086_2014-08-26_final
2014-11-20 09:42:04	ga_ls7e_ard_3-0-0_094081_2014-11-20_final
2015-07-02 09:44:40	ga_ls7e_ard_3-0-0_094084_2015-07-02_final
2016-06-27 11:19:05	ga_ls7e_ard_3-1-0_109081_2016-06-27_final
2016-08-31 10:23:35	ga_ls7e_ard_3-1-0_100081_2016-08-31_final
2016-10-24 09:48:07	ga_ls7e_ard_3-0-0_094085_2016-10-24_final
2017-10-31 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-10-30_final
2018-03-12 10:31:18	ga_ls7e_ard_3-1-0_102073_2018-03-12_final
2018-06-15 11:28:59	ga_ls7e_ard_3-1-0_111082_2018-06-15_final
2018-07-05 09:26:35	ga_ls7e_ard_3-1-0_091086_2018-07-04_final
2018-08-01 10:40:04	ga_ls7e_ard_3-1-0_104070_2018-08-01_final
2018-12-02 10:20:46	ga_ls7e_ard_3-1-0_101075_2018-12-02_final
2019-02-19 11:17:13	ga_ls7e_ard_3-1-0_110083_2019-02-19_final
2019-03-02 09:18:39	ga_ls7e_ard_3-1-0_091081_2019-03-01_final
2019-03-06 10:28:18	ga_ls7e_ard_3-1-0_103070_2019-03-06_final
2019-03-18 10:53:01	ga_ls7e_ard_3-1-0_107071_2019-03-18_final
2019-03-27 09:12:27	ga_ls7e_ard_3-1-0_090083_2019-03-26_final
2019-04-08 09:33:57	ga_ls7e_ard_3-0-0_094076_2019-04-08_final
2019-05-07 09:03:59	ga_ls7e_ard_3-1-0_089081_2019-05-06_final
2019-09-12 10:37:49	ga_ls7e_ard_3-1-0_105081_2019-09-12_final
2019-09-28 10:36:43	ga_ls7e_ard_3-1-0_105080_2019-09-28_final
2019-09-30 10:24:16	ga_ls7e_ard_3-1-0_103080_2019-09-30_final
2019-10-05 09:07:19	ga_ls7e_ard_3-1-0_090089_2019-10-04_final
2019-10-14 10:34:51	ga_ls7e_ard_3-1-0_105077_2019-10-14_final
2019-10-21 10:38:44	ga_ls7e_ard_3-1-0_106072_2019-10-21_final
2019-10-30 10:31:46	ga_ls7e_ard_3-1-0_105071_2019-10-30_final
2019-11-17 10:18:11	ga_ls7e_ard_3-1-0_103070_2019-11-17_final
2019-11-27 10:57:59	ga_ls7e_ard_3-1-0_109078_2019-11-27_final
2019-11-29 09:07:27	ga_ls7e_ard_3-1-0_091080_2019-11-28_final
2019-12-04 11:04:37	ga_ls7e_ard_3-1-0_110080_2019-12-04_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2019-12-08 09:01:37	ga_ls7e_ard_3-1-0_090082_2019-12-07_final
2019-12-09 09:45:14	ga_ls7e_ard_3-1-0_097083_2019-12-09_final
2019-12-19 10:19:49	ga_ls7e_ard_3-1-0_103078_2019-12-19_final
2020-01-05 09:22:06	ga_ls7e_ard_3-1-0_094075_2020-01-04_final
2020-01-07 10:51:19	ga_ls7e_ard_3-1-0_108082_2020-01-07_final
2020-01-18 10:28:39	ga_ls7e_ard_3-1-0_105073_2020-01-18_final
2020-01-21 09:24:07	ga_ls7e_ard_3-1-0_094082_2020-01-20_final
2020-01-28 11:08:25	ga_ls7e_ard_3-1-0_111081_2020-01-28_final
2020-03-14 09:40:41	ga_ls7e_ard_3-1-0_097084_2020-03-14_final
2020-03-18 10:52:14	ga_ls7e_ard_3-1-0_109078_2020-03-18_final
2020-04-21 08:58:39	ga_ls7e_ard_3-1-0_091077_2020-04-20_final
2020-06-22 09:10:30	ga_ls7e_ard_3-1-0_093085_2020-06-21_final
2020-06-27 11:06:01	ga_ls7e_ard_3-1-0_112081_2020-06-27_final
2020-06-27 11:06:49	ga_ls7e_ard_3-1-0_112083_2020-06-27_final
2020-07-01 09:00:11	ga_ls7e_ard_3-1-0_092076_2020-06-30_final
2020-07-11 11:15:09	ga_ls7e_ard_3-1-0_114075_2020-07-11_final
2020-07-15 09:15:18	ga_ls7e_ard_3-1-0_094085_2020-07-14_final
2020-08-09 09:06:22	ga_ls7e_ard_3-1-0_093082_2020-08-08_final
2021-03-12 10:36:00	ga_ls7e_ard_3-2-0_110081_2021-03-12_final
2021-03-28 10:33:07	ga_ls7e_ard_3-2-0_110077_2021-03-28_final
2021-04-02 10:52:27	ga_ls7e_ard_3-2-0_113080_2021-04-02_final
2021-05-03 08:29:18	ga_ls7e_ard_3-2-0_090084_2021-05-02_final
2021-06-07 08:56:03	ga_ls7e_ard_3-2-0_095081_2021-06-06_final
2021-08-03 10:19:57	ga_ls7e_ard_3-2-0_110071_2021-08-03_final
2021-08-19 10:18:32	ga_ls7e_ard_3-2-0_110071_2021-08-19_final
2021-08-19 10:19:19	ga_ls7e_ard_3-2-0_110073_2021-08-19_final
2021-09-02 10:33:40	ga_ls7e_ard_3-2-0_112081_2021-09-02_final
2021-09-14 09:16:04	ga_ls7e_ard_3-2-0_100075_2021-09-13_final
2021-09-15 09:59:38	ga_ls7e_ard_3-2-0_107076_2021-09-15_final
2021-09-25 08:54:57	ga_ls7e_ard_3-2-0_097071_2021-09-24_final
2021-09-27 08:43:36	ga_ls7e_ard_3-2-0_095074_2021-09-26_final
2021-11-14 08:38:49	ga_ls7e_ard_3-2-1_095073_2021-11-13_final
2021-12-07 10:22:29	ga_ls7e_ard_3-2-1_112075_2021-12-07_final
2021-12-22 09:36:35	ga_ls7e_ard_3-2-1_105072_2021-12-22_final
2022-01-20 09:06:03	ga_ls7e_ard_3-2-1_100080_2022-01-19_final
2022-01-28 09:54:42	ga_ls7e_ard_3-2-1_108080_2022-01-28_final
2022-02-02 10:13:33	ga_ls7e_ard_3-2-1_111082_2022-02-02_final
2022-02-22 08:10:44	ga_ls7e_ard_3-2-1_091089_2022-02-21_final
2022-03-11 10:27:13	ga_ls7e_ard_3-2-1_114079_2022-03-11_final
2022-03-13 08:35:47	ga_ls7e_ard_3-2-1_096079_2022-03-12_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